Add application file

pages/1_📷_Timelapse.py

@@ -0,0 +1,1527 @@
+import ee
+import os
+import warnings
+import datetime
+import fiona
+import geopandas as gpd
+import folium
+import streamlit as st
+import geemap.colormaps as cm
+import geemap.foliumap as geemap
+from datetime import date
+from shapely.geometry import Polygon
+
+st.set_page_config(layout="wide")
+warnings.filterwarnings("ignore")
+
+
+@st.cache(allow_output_mutation=True)
+def ee_authenticate(token_name="EARTHENGINE_TOKEN"):
+    geemap.ee_initialize(token_name=token_name)
+
+
+st.sidebar.info(
+    """
+    - Web App URL: <https://streamlit.gishub.org>
+    - GitHub repository: <https://github.com/giswqs/streamlit-geospatial>
+    """
+)
+
+st.sidebar.title("Contact")
+st.sidebar.info(
+    """
+    Qiusheng Wu at [wetlands.io](https://wetlands.io) | [GitHub](https://github.com/giswqs) | [Twitter](https://twitter.com/giswqs) | [YouTube](https://www.youtube.com/c/QiushengWu) | [LinkedIn](https://www.linkedin.com/in/qiushengwu)
+    """
+)
+
+goes_rois = {
+    "Creek Fire, CA (2020-09-05)": {
+        "region": Polygon(
+            [
+                [-121.003418, 36.848857],
+                [-121.003418, 39.049052],
+                [-117.905273, 39.049052],
+                [-117.905273, 36.848857],
+                [-121.003418, 36.848857],
+            ]
+        ),
+        "start_time": "2020-09-05T15:00:00",
+        "end_time": "2020-09-06T02:00:00",
+    },
+    "Bomb Cyclone (2021-10-24)": {
+        "region": Polygon(
+            [
+                [-159.5954, 60.4088],
+                [-159.5954, 24.5178],
+                [-114.2438, 24.5178],
+                [-114.2438, 60.4088],
+            ]
+        ),
+        "start_time": "2021-10-24T14:00:00",
+        "end_time": "2021-10-25T01:00:00",
+    },
+    "Hunga Tonga Volcanic Eruption (2022-01-15)": {
+        "region": Polygon(
+            [
+                [-192.480469, -32.546813],
+                [-192.480469, -8.754795],
+                [-157.587891, -8.754795],
+                [-157.587891, -32.546813],
+                [-192.480469, -32.546813],
+            ]
+        ),
+        "start_time": "2022-01-15T03:00:00",
+        "end_time": "2022-01-15T07:00:00",
+    },
+    "Hunga Tonga Volcanic Eruption Closer Look (2022-01-15)": {
+        "region": Polygon(
+            [
+                [-178.901367, -22.958393],
+                [-178.901367, -17.85329],
+                [-171.452637, -17.85329],
+                [-171.452637, -22.958393],
+                [-178.901367, -22.958393],
+            ]
+        ),
+        "start_time": "2022-01-15T03:00:00",
+        "end_time": "2022-01-15T07:00:00",
+    },
+}
+
+
+landsat_rois = {
+    "Aral Sea": Polygon(
+        [
+            [57.667236, 43.834527],
+            [57.667236, 45.996962],
+            [61.12793, 45.996962],
+            [61.12793, 43.834527],
+            [57.667236, 43.834527],
+        ]
+    ),
+    "Dubai": Polygon(
+        [
+            [54.541626, 24.763044],
+            [54.541626, 25.427152],
+            [55.632019, 25.427152],
+            [55.632019, 24.763044],
+            [54.541626, 24.763044],
+        ]
+    ),
+    "Hong Kong International Airport": Polygon(
+        [
+            [113.825226, 22.198849],
+            [113.825226, 22.349758],
+            [114.085121, 22.349758],
+            [114.085121, 22.198849],
+            [113.825226, 22.198849],
+        ]
+    ),
+    "Las Vegas, NV": Polygon(
+        [
+            [-115.554199, 35.804449],
+            [-115.554199, 36.558188],
+            [-113.903503, 36.558188],
+            [-113.903503, 35.804449],
+            [-115.554199, 35.804449],
+        ]
+    ),
+    "Pucallpa, Peru": Polygon(
+        [
+            [-74.672699, -8.600032],
+            [-74.672699, -8.254983],
+            [-74.279938, -8.254983],
+            [-74.279938, -8.600032],
+        ]
+    ),
+    "Sierra Gorda, Chile": Polygon(
+        [
+            [-69.315491, -22.837104],
+            [-69.315491, -22.751488],
+            [-69.190006, -22.751488],
+            [-69.190006, -22.837104],
+            [-69.315491, -22.837104],
+        ]
+    ),
+}
+
+modis_rois = {
+    "World": Polygon(
+        [
+            [-171.210938, -57.136239],
+            [-171.210938, 79.997168],
+            [177.539063, 79.997168],
+            [177.539063, -57.136239],
+            [-171.210938, -57.136239],
+        ]
+    ),
+    "Africa": Polygon(
+        [
+            [-18.6983, 38.1446],
+            [-18.6983, -36.1630],
+            [52.2293, -36.1630],
+            [52.2293, 38.1446],
+        ]
+    ),
+    "USA": Polygon(
+        [
+            [-127.177734, 23.725012],
+            [-127.177734, 50.792047],
+            [-66.269531, 50.792047],
+            [-66.269531, 23.725012],
+            [-127.177734, 23.725012],
+        ]
+    ),
+}
+
+ocean_rois = {
+    "Gulf of Mexico": Polygon(
+        [
+            [-101.206055, 15.496032],
+            [-101.206055, 32.361403],
+            [-75.673828, 32.361403],
+            [-75.673828, 15.496032],
+            [-101.206055, 15.496032],
+        ]
+    ),
+    "North Atlantic Ocean": Polygon(
+        [
+            [-85.341797, 24.046464],
+            [-85.341797, 45.02695],
+            [-55.810547, 45.02695],
+            [-55.810547, 24.046464],
+            [-85.341797, 24.046464],
+        ]
+    ),
+    "World": Polygon(
+        [
+            [-171.210938, -57.136239],
+            [-171.210938, 79.997168],
+            [177.539063, 79.997168],
+            [177.539063, -57.136239],
+            [-171.210938, -57.136239],
+        ]
+    ),
+}
+
+
+@st.cache(allow_output_mutation=True)
+def uploaded_file_to_gdf(data):
+    import tempfile
+    import os
+    import uuid
+
+    _, file_extension = os.path.splitext(data.name)
+    file_id = str(uuid.uuid4())
+    file_path = os.path.join(tempfile.gettempdir(), f"{file_id}{file_extension}")
+
+    with open(file_path, "wb") as file:
+        file.write(data.getbuffer())
+
+    if file_path.lower().endswith(".kml"):
+        fiona.drvsupport.supported_drivers["KML"] = "rw"
+        gdf = gpd.read_file(file_path, driver="KML")
+    else:
+        gdf = gpd.read_file(file_path)
+
+    return gdf
+
+
+def app():
+
+    today = date.today()
+
+    st.title("Create Satellite Timelapse")
+
+    st.markdown(
+        """
+        An interactive web app for creating [Landsat](https://developers.google.com/earth-engine/datasets/catalog/landsat)/[GOES](https://jstnbraaten.medium.com/goes-in-earth-engine-53fbc8783c16) timelapse for any location around the globe. 
+        The app was built using [streamlit](https://streamlit.io), [geemap](https://geemap.org), and [Google Earth Engine](https://earthengine.google.com). For more info, check out my streamlit [blog post](https://blog.streamlit.io/creating-satellite-timelapse-with-streamlit-and-earth-engine). 
+    """
+    )
+
+    row1_col1, row1_col2 = st.columns([2, 1])
+
+    if st.session_state.get("zoom_level") is None:
+        st.session_state["zoom_level"] = 4
+
+    st.session_state["ee_asset_id"] = None
+    st.session_state["bands"] = None
+    st.session_state["palette"] = None
+    st.session_state["vis_params"] = None
+
+    with row1_col1:
+        ee_authenticate(token_name="EARTHENGINE_TOKEN")
+        m = geemap.Map(
+            basemap="HYBRID",
+            plugin_Draw=True,
+            Draw_export=True,
+            locate_control=True,
+            plugin_LatLngPopup=False,
+        )
+        m.add_basemap("ROADMAP")
+
+    with row1_col2:
+
+        keyword = st.text_input("Search for a location:", "")
+        if keyword:
+            locations = geemap.geocode(keyword)
+            if locations is not None and len(locations) > 0:
+                str_locations = [str(g)[1:-1] for g in locations]
+                location = st.selectbox("Select a location:", str_locations)
+                loc_index = str_locations.index(location)
+                selected_loc = locations[loc_index]
+                lat, lng = selected_loc.lat, selected_loc.lng
+                folium.Marker(location=[lat, lng], popup=location).add_to(m)
+                m.set_center(lng, lat, 12)
+                st.session_state["zoom_level"] = 12
+
+        collection = st.selectbox(
+            "Select a satellite image collection: ",
+            [
+                "Any Earth Engine ImageCollection",
+                "Landsat TM-ETM-OLI Surface Reflectance",
+                "Sentinel-2 MSI Surface Reflectance",
+                "Geostationary Operational Environmental Satellites (GOES)",
+                "MODIS Vegetation Indices (NDVI/EVI) 16-Day Global 1km",
+                "MODIS Gap filled Land Surface Temperature Daily",
+                "MODIS Ocean Color SMI",
+                "USDA National Agriculture Imagery Program (NAIP)",
+            ],
+            index=1,
+        )
+
+        if collection in [
+            "Landsat TM-ETM-OLI Surface Reflectance",
+            "Sentinel-2 MSI Surface Reflectance",
+        ]:
+            roi_options = ["Uploaded GeoJSON"] + list(landsat_rois.keys())
+
+        elif collection == "Geostationary Operational Environmental Satellites (GOES)":
+            roi_options = ["Uploaded GeoJSON"] + list(goes_rois.keys())
+
+        elif collection in [
+            "MODIS Vegetation Indices (NDVI/EVI) 16-Day Global 1km",
+            "MODIS Gap filled Land Surface Temperature Daily",
+        ]:
+            roi_options = ["Uploaded GeoJSON"] + list(modis_rois.keys())
+        elif collection == "MODIS Ocean Color SMI":
+            roi_options = ["Uploaded GeoJSON"] + list(ocean_rois.keys())
+        else:
+            roi_options = ["Uploaded GeoJSON"]
+
+        if collection == "Any Earth Engine ImageCollection":
+            keyword = st.text_input("Enter a keyword to search (e.g., MODIS):", "")
+            if keyword:
+
+                assets = geemap.search_ee_data(keyword)
+                ee_assets = []
+                for asset in assets:
+                    if asset["ee_id_snippet"].startswith("ee.ImageCollection"):
+                        ee_assets.append(asset)
+
+                asset_titles = [x["title"] for x in ee_assets]
+                dataset = st.selectbox("Select a dataset:", asset_titles)
+                if len(ee_assets) > 0:
+                    st.session_state["ee_assets"] = ee_assets
+                    st.session_state["asset_titles"] = asset_titles
+                    index = asset_titles.index(dataset)
+                    ee_id = ee_assets[index]["id"]
+                else:
+                    ee_id = ""
+
+                if dataset is not None:
+                    with st.expander("Show dataset details", False):
+                        index = asset_titles.index(dataset)
+                        html = geemap.ee_data_html(st.session_state["ee_assets"][index])
+                        st.markdown(html, True)
+            # elif collection == "MODIS Gap filled Land Surface Temperature Daily":
+            #     ee_id = ""
+            else:
+                ee_id = ""
+
+            asset_id = st.text_input("Enter an ee.ImageCollection asset ID:", ee_id)
+
+            if asset_id:
+                with st.expander("Customize band combination and color palette", True):
+                    try:
+                        col = ee.ImageCollection.load(asset_id)
+                        st.session_state["ee_asset_id"] = asset_id
+                    except:
+                        st.error("Invalid Earth Engine asset ID.")
+                        st.session_state["ee_asset_id"] = None
+                        return
+
+                    img_bands = col.first().bandNames().getInfo()
+                    if len(img_bands) >= 3:
+                        default_bands = img_bands[:3][::-1]
+                    else:
+                        default_bands = img_bands[:]
+                    bands = st.multiselect(
+                        "Select one or three bands (RGB):", img_bands, default_bands
+                    )
+                    st.session_state["bands"] = bands
+
+                    if len(bands) == 1:
+                        palette_options = st.selectbox(
+                            "Color palette",
+                            cm.list_colormaps(),
+                            index=2,
+                        )
+                        palette_values = cm.get_palette(palette_options, 15)
+                        palette = st.text_area(
+                            "Enter a custom palette:",
+                            palette_values,
+                        )
+                        st.write(
+                            cm.plot_colormap(cmap=palette_options, return_fig=True)
+                        )
+                        st.session_state["palette"] = eval(palette)
+
+                    if bands:
+                        vis_params = st.text_area(
+                            "Enter visualization parameters",
+                            "{'bands': ["
+                            + ", ".join([f"'{band}'" for band in bands])
+                            + "]}",
+                        )
+                    else:
+                        vis_params = st.text_area(
+                            "Enter visualization parameters",
+                            "{}",
+                        )
+                    try:
+                        st.session_state["vis_params"] = eval(vis_params)
+                        st.session_state["vis_params"]["palette"] = st.session_state[
+                            "palette"
+                        ]
+                    except Exception as e:
+                        st.session_state["vis_params"] = None
+                        st.error(
+                            f"Invalid visualization parameters. It must be a dictionary."
+                        )
+
+        elif collection == "MODIS Gap filled Land Surface Temperature Daily":
+            with st.expander("Show dataset details", False):
+                st.markdown(
+                    """
+                See the [Awesome GEE Community Datasets](https://samapriya.github.io/awesome-gee-community-datasets/projects/daily_lst/).
+                """
+                )
+
+            MODIS_options = ["Daytime (1:30 pm)", "Nighttime (1:30 am)"]
+            MODIS_option = st.selectbox("Select a MODIS dataset:", MODIS_options)
+            if MODIS_option == "Daytime (1:30 pm)":
+                st.session_state[
+                    "ee_asset_id"
+                ] = "projects/sat-io/open-datasets/gap-filled-lst/gf_day_1km"
+            else:
+                st.session_state[
+                    "ee_asset_id"
+                ] = "projects/sat-io/open-datasets/gap-filled-lst/gf_night_1km"
+
+            palette_options = st.selectbox(
+                "Color palette",
+                cm.list_colormaps(),
+                index=90,
+            )
+            palette_values = cm.get_palette(palette_options, 15)
+            palette = st.text_area(
+                "Enter a custom palette:",
+                palette_values,
+            )
+            st.write(cm.plot_colormap(cmap=palette_options, return_fig=True))
+            st.session_state["palette"] = eval(palette)
+        elif collection == "MODIS Ocean Color SMI":
+            with st.expander("Show dataset details", False):
+                st.markdown(
+                    """
+                See the [Earth Engine Data Catalog](https://developers.google.com/earth-engine/datasets/catalog/NASA_OCEANDATA_MODIS-Aqua_L3SMI).
+                """
+                )
+
+            MODIS_options = ["Aqua", "Terra"]
+            MODIS_option = st.selectbox("Select a satellite:", MODIS_options)
+            st.session_state["ee_asset_id"] = MODIS_option
+            # if MODIS_option == "Daytime (1:30 pm)":
+            #     st.session_state[
+            #         "ee_asset_id"
+            #     ] = "projects/sat-io/open-datasets/gap-filled-lst/gf_day_1km"
+            # else:
+            #     st.session_state[
+            #         "ee_asset_id"
+            #     ] = "projects/sat-io/open-datasets/gap-filled-lst/gf_night_1km"
+
+            band_dict = {
+                "Chlorophyll a concentration": "chlor_a",
+                "Normalized fluorescence line height": "nflh",
+                "Particulate organic carbon": "poc",
+                "Sea surface temperature": "sst",
+                "Remote sensing reflectance at band 412nm": "Rrs_412",
+                "Remote sensing reflectance at band 443nm": "Rrs_443",
+                "Remote sensing reflectance at band 469nm": "Rrs_469",
+                "Remote sensing reflectance at band 488nm": "Rrs_488",
+                "Remote sensing reflectance at band 531nm": "Rrs_531",
+                "Remote sensing reflectance at band 547nm": "Rrs_547",
+                "Remote sensing reflectance at band 555nm": "Rrs_555",
+                "Remote sensing reflectance at band 645nm": "Rrs_645",
+                "Remote sensing reflectance at band 667nm": "Rrs_667",
+                "Remote sensing reflectance at band 678nm": "Rrs_678",
+            }
+
+            band_options = list(band_dict.keys())
+            band = st.selectbox(
+                "Select a band",
+                band_options,
+                band_options.index("Sea surface temperature"),
+            )
+            st.session_state["band"] = band_dict[band]
+
+            colors = cm.list_colormaps()
+            palette_options = st.selectbox(
+                "Color palette",
+                colors,
+                index=colors.index("coolwarm"),
+            )
+            palette_values = cm.get_palette(palette_options, 15)
+            palette = st.text_area(
+                "Enter a custom palette:",
+                palette_values,
+            )
+            st.write(cm.plot_colormap(cmap=palette_options, return_fig=True))
+            st.session_state["palette"] = eval(palette)
+
+        sample_roi = st.selectbox(
+            "Select a sample ROI or upload a GeoJSON file:",
+            roi_options,
+            index=0,
+        )
+
+        add_outline = st.checkbox(
+            "Overlay an administrative boundary on timelapse", False
+        )
+
+        if add_outline:
+
+            with st.expander("Customize administrative boundary", True):
+
+                overlay_options = {
+                    "User-defined": None,
+                    "Continents": "continents",
+                    "Countries": "countries",
+                    "US States": "us_states",
+                    "China": "china",
+                }
+
+                overlay = st.selectbox(
+                    "Select an administrative boundary:",
+                    list(overlay_options.keys()),
+                    index=2,
+                )
+
+                overlay_data = overlay_options[overlay]
+
+                if overlay_data is None:
+                    overlay_data = st.text_input(
+                        "Enter an HTTP URL to a GeoJSON file or an ee.FeatureCollection asset id:",
+                        "https://raw.githubusercontent.com/giswqs/geemap/master/examples/data/countries.geojson",
+                    )
+
+                overlay_color = st.color_picker(
+                    "Select a color for the administrative boundary:", "#000000"
+                )
+                overlay_width = st.slider(
+                    "Select a line width for the administrative boundary:", 1, 20, 1
+                )
+                overlay_opacity = st.slider(
+                    "Select an opacity for the administrative boundary:",
+                    0.0,
+                    1.0,
+                    1.0,
+                    0.05,
+                )
+        else:
+            overlay_data = None
+            overlay_color = "black"
+            overlay_width = 1
+            overlay_opacity = 1
+
+    with row1_col1:
+
+        with st.expander(
+            "Steps: Draw a rectangle on the map -> Export it as a GeoJSON -> Upload it back to the app -> Click the Submit button. Expand this tab to see a demo 👉"
+        ):
+            video_empty = st.empty()
+
+        data = st.file_uploader(
+            "Upload a GeoJSON file to use as an ROI. Customize timelapse parameters and then click the Submit button 😇👇",
+            type=["geojson", "kml", "zip"],
+        )
+
+        crs = "epsg:4326"
+        if sample_roi == "Uploaded GeoJSON":
+            if data is None:
+                # st.info(
+                #     "Steps to create a timelapse: Draw a rectangle on the map -> Export it as a GeoJSON -> Upload it back to the app -> Click Submit button"
+                # )
+                if collection in [
+                    "Geostationary Operational Environmental Satellites (GOES)",
+                    "USDA National Agriculture Imagery Program (NAIP)",
+                ] and (not keyword):
+                    m.set_center(-100, 40, 3)
+                # else:
+                #     m.set_center(4.20, 18.63, zoom=2)
+        else:
+            if collection in [
+                "Landsat TM-ETM-OLI Surface Reflectance",
+                "Sentinel-2 MSI Surface Reflectance",
+            ]:
+                gdf = gpd.GeoDataFrame(
+                    index=[0], crs=crs, geometry=[landsat_rois[sample_roi]]
+                )
+            elif (
+                collection
+                == "Geostationary Operational Environmental Satellites (GOES)"
+            ):
+                gdf = gpd.GeoDataFrame(
+                    index=[0], crs=crs, geometry=[goes_rois[sample_roi]["region"]]
+                )
+            elif collection == "MODIS Vegetation Indices (NDVI/EVI) 16-Day Global 1km":
+                gdf = gpd.GeoDataFrame(
+                    index=[0], crs=crs, geometry=[modis_rois[sample_roi]]
+                )
+
+        if sample_roi != "Uploaded GeoJSON":
+
+            if collection in [
+                "Landsat TM-ETM-OLI Surface Reflectance",
+                "Sentinel-2 MSI Surface Reflectance",
+            ]:
+                gdf = gpd.GeoDataFrame(
+                    index=[0], crs=crs, geometry=[landsat_rois[sample_roi]]
+                )
+            elif (
+                collection
+                == "Geostationary Operational Environmental Satellites (GOES)"
+            ):
+                gdf = gpd.GeoDataFrame(
+                    index=[0], crs=crs, geometry=[goes_rois[sample_roi]["region"]]
+                )
+            elif collection in [
+                "MODIS Vegetation Indices (NDVI/EVI) 16-Day Global 1km",
+                "MODIS Gap filled Land Surface Temperature Daily",
+            ]:
+                gdf = gpd.GeoDataFrame(
+                    index=[0], crs=crs, geometry=[modis_rois[sample_roi]]
+                )
+            elif collection == "MODIS Ocean Color SMI":
+                gdf = gpd.GeoDataFrame(
+                    index=[0], crs=crs, geometry=[ocean_rois[sample_roi]]
+                )
+            try:
+                st.session_state["roi"] = geemap.gdf_to_ee(gdf, geodesic=False)
+            except Exception as e:
+                st.error(e)
+                st.error("Please draw another ROI and try again.")
+                return
+            m.add_gdf(gdf, "ROI")
+
+        elif data:
+            gdf = uploaded_file_to_gdf(data)
+            try:
+                st.session_state["roi"] = geemap.gdf_to_ee(gdf, geodesic=False)
+                m.add_gdf(gdf, "ROI")
+            except Exception as e:
+                st.error(e)
+                st.error("Please draw another ROI and try again.")
+                return
+
+        m.to_streamlit(height=600)
+
+    with row1_col2:
+
+        if collection in [
+            "Landsat TM-ETM-OLI Surface Reflectance",
+            "Sentinel-2 MSI Surface Reflectance",
+        ]:
+
+            if collection == "Landsat TM-ETM-OLI Surface Reflectance":
+                sensor_start_year = 1984
+                timelapse_title = "Landsat Timelapse"
+                timelapse_speed = 5
+            elif collection == "Sentinel-2 MSI Surface Reflectance":
+                sensor_start_year = 2015
+                timelapse_title = "Sentinel-2 Timelapse"
+                timelapse_speed = 5
+            video_empty.video("https://youtu.be/VVRK_-dEjR4")
+
+            with st.form("submit_landsat_form"):
+
+                roi = None
+                if st.session_state.get("roi") is not None:
+                    roi = st.session_state.get("roi")
+                out_gif = geemap.temp_file_path(".gif")
+
+                title = st.text_input(
+                    "Enter a title to show on the timelapse: ", timelapse_title
+                )
+                RGB = st.selectbox(
+                    "Select an RGB band combination:",
+                    [
+                        "Red/Green/Blue",
+                        "NIR/Red/Green",
+                        "SWIR2/SWIR1/NIR",
+                        "NIR/SWIR1/Red",
+                        "SWIR2/NIR/Red",
+                        "SWIR2/SWIR1/Red",
+                        "SWIR1/NIR/Blue",
+                        "NIR/SWIR1/Blue",
+                        "SWIR2/NIR/Green",
+                        "SWIR1/NIR/Red",
+                        "SWIR2/NIR/SWIR1",
+                        "SWIR1/NIR/SWIR2",
+                    ],
+                    index=9,
+                )
+
+                frequency = st.selectbox(
+                    "Select a temporal frequency:",
+                    ["year", "quarter", "month"],
+                    index=0,
+                )
+
+                with st.expander("Customize timelapse"):
+
+                    speed = st.slider("Frames per second:", 1, 30, timelapse_speed)
+                    dimensions = st.slider(
+                        "Maximum dimensions (Width*Height) in pixels", 768, 2000, 768
+                    )
+                    progress_bar_color = st.color_picker(
+                        "Progress bar color:", "#0000ff"
+                    )
+                    years = st.slider(
+                        "Start and end year:",
+                        sensor_start_year,
+                        today.year,
+                        (sensor_start_year, today.year),
+                    )
+                    months = st.slider("Start and end month:", 1, 12, (1, 12))
+                    font_size = st.slider("Font size:", 10, 50, 30)
+                    font_color = st.color_picker("Font color:", "#ffffff")
+                    apply_fmask = st.checkbox(
+                        "Apply fmask (remove clouds, shadows, snow)", True
+                    )
+                    font_type = st.selectbox(
+                        "Select the font type for the title:",
+                        ["arial.ttf", "alibaba.otf"],
+                        index=0,
+                    )
+                    fading = st.slider(
+                        "Fading duration (seconds) for each frame:", 0.0, 3.0, 0.0
+                    )
+                    mp4 = st.checkbox("Save timelapse as MP4", True)
+
+                empty_text = st.empty()
+                empty_image = st.empty()
+                empty_fire_image = st.empty()
+                empty_video = st.container()
+                submitted = st.form_submit_button("Submit")
+                if submitted:
+
+                    if sample_roi == "Uploaded GeoJSON" and data is None:
+                        empty_text.warning(
+                            "Steps to create a timelapse: Draw a rectangle on the map -> Export it as a GeoJSON -> Upload it back to the app -> Click the Submit button. Alternatively, you can select a sample ROI from the dropdown list."
+                        )
+                    else:
+
+                        empty_text.text("Computing... Please wait...")
+
+                        start_year = years[0]
+                        end_year = years[1]
+                        start_date = str(months[0]).zfill(2) + "-01"
+                        end_date = str(months[1]).zfill(2) + "-30"
+                        bands = RGB.split("/")
+
+                        try:
+                            if collection == "Landsat TM-ETM-OLI Surface Reflectance":
+                                out_gif = geemap.landsat_timelapse(
+                                    roi=roi,
+                                    out_gif=out_gif,
+                                    start_year=start_year,
+                                    end_year=end_year,
+                                    start_date=start_date,
+                                    end_date=end_date,
+                                    bands=bands,
+                                    apply_fmask=apply_fmask,
+                                    frames_per_second=speed,
+                                    # dimensions=dimensions,
+                                    dimensions=768,
+                                    overlay_data=overlay_data,
+                                    overlay_color=overlay_color,
+                                    overlay_width=overlay_width,
+                                    overlay_opacity=overlay_opacity,
+                                    frequency=frequency,
+                                    date_format=None,
+                                    title=title,
+                                    title_xy=("2%", "90%"),
+                                    add_text=True,
+                                    text_xy=("2%", "2%"),
+                                    text_sequence=None,
+                                    font_type=font_type,
+                                    font_size=font_size,
+                                    font_color=font_color,
+                                    add_progress_bar=True,
+                                    progress_bar_color=progress_bar_color,
+                                    progress_bar_height=5,
+                                    loop=0,
+                                    mp4=mp4,
+                                    fading=fading,
+                                )
+                            elif collection == "Sentinel-2 MSI Surface Reflectance":
+                                out_gif = geemap.sentinel2_timelapse(
+                                    roi=roi,
+                                    out_gif=out_gif,
+                                    start_year=start_year,
+                                    end_year=end_year,
+                                    start_date=start_date,
+                                    end_date=end_date,
+                                    bands=bands,
+                                    apply_fmask=apply_fmask,
+                                    frames_per_second=speed,
+                                    dimensions=768,
+                                    # dimensions=dimensions,
+                                    overlay_data=overlay_data,
+                                    overlay_color=overlay_color,
+                                    overlay_width=overlay_width,
+                                    overlay_opacity=overlay_opacity,
+                                    frequency=frequency,
+                                    date_format=None,
+                                    title=title,
+                                    title_xy=("2%", "90%"),
+                                    add_text=True,
+                                    text_xy=("2%", "2%"),
+                                    text_sequence=None,
+                                    font_type=font_type,
+                                    font_size=font_size,
+                                    font_color=font_color,
+                                    add_progress_bar=True,
+                                    progress_bar_color=progress_bar_color,
+                                    progress_bar_height=5,
+                                    loop=0,
+                                    mp4=mp4,
+                                    fading=fading,
+                                )
+                        except:
+                            empty_text.error(
+                                "An error occurred while computing the timelapse. Your probably requested too much data. Try reducing the ROI or timespan."
+                            )
+                            st.stop()
+
+                        if out_gif is not None and os.path.exists(out_gif):
+
+                            empty_text.text(
+                                "Right click the GIF to save it to your computer👇"
+                            )
+                            empty_image.image(out_gif)
+
+                            out_mp4 = out_gif.replace(".gif", ".mp4")
+                            if mp4 and os.path.exists(out_mp4):
+                                with empty_video:
+                                    st.text(
+                                        "Right click the MP4 to save it to your computer👇"
+                                    )
+                                    st.video(out_gif.replace(".gif", ".mp4"))
+
+                        else:
+                            empty_text.error(
+                                "Something went wrong. You probably requested too much data. Try reducing the ROI or timespan."
+                            )
+
+        elif collection == "Geostationary Operational Environmental Satellites (GOES)":
+
+            video_empty.video("https://youtu.be/16fA2QORG4A")
+
+            with st.form("submit_goes_form"):
+
+                roi = None
+                if st.session_state.get("roi") is not None:
+                    roi = st.session_state.get("roi")
+                out_gif = geemap.temp_file_path(".gif")
+
+                satellite = st.selectbox("Select a satellite:", ["GOES-17", "GOES-16"])
+                earliest_date = datetime.date(2017, 7, 10)
+                latest_date = datetime.date.today()
+
+                if sample_roi == "Uploaded GeoJSON":
+                    roi_start_date = today - datetime.timedelta(days=2)
+                    roi_end_date = today - datetime.timedelta(days=1)
+                    roi_start_time = datetime.time(14, 00)
+                    roi_end_time = datetime.time(1, 00)
+                else:
+                    roi_start = goes_rois[sample_roi]["start_time"]
+                    roi_end = goes_rois[sample_roi]["end_time"]
+                    roi_start_date = datetime.datetime.strptime(
+                        roi_start[:10], "%Y-%m-%d"
+                    )
+                    roi_end_date = datetime.datetime.strptime(roi_end[:10], "%Y-%m-%d")
+                    roi_start_time = datetime.time(
+                        int(roi_start[11:13]), int(roi_start[14:16])
+                    )
+                    roi_end_time = datetime.time(
+                        int(roi_end[11:13]), int(roi_end[14:16])
+                    )
+
+                start_date = st.date_input("Select the start date:", roi_start_date)
+                end_date = st.date_input("Select the end date:", roi_end_date)
+
+                with st.expander("Customize timelapse"):
+
+                    add_fire = st.checkbox("Add Fire/Hotspot Characterization", False)
+
+                    scan_type = st.selectbox(
+                        "Select a scan type:", ["Full Disk", "CONUS", "Mesoscale"]
+                    )
+
+                    start_time = st.time_input(
+                        "Select the start time of the start date:", roi_start_time
+                    )
+
+                    end_time = st.time_input(
+                        "Select the end time of the end date:", roi_end_time
+                    )
+
+                    start = (
+                        start_date.strftime("%Y-%m-%d")
+                        + "T"
+                        + start_time.strftime("%H:%M:%S")
+                    )
+                    end = (
+                        end_date.strftime("%Y-%m-%d")
+                        + "T"
+                        + end_time.strftime("%H:%M:%S")
+                    )
+
+                    speed = st.slider("Frames per second:", 1, 30, 5)
+                    add_progress_bar = st.checkbox("Add a progress bar", True)
+                    progress_bar_color = st.color_picker(
+                        "Progress bar color:", "#0000ff"
+                    )
+                    font_size = st.slider("Font size:", 10, 50, 20)
+                    font_color = st.color_picker("Font color:", "#ffffff")
+                    fading = st.slider(
+                        "Fading duration (seconds) for each frame:", 0.0, 3.0, 0.0
+                    )
+                    mp4 = st.checkbox("Save timelapse as MP4", True)
+
+                empty_text = st.empty()
+                empty_image = st.empty()
+                empty_video = st.container()
+                empty_fire_text = st.empty()
+                empty_fire_image = st.empty()
+
+                submitted = st.form_submit_button("Submit")
+                if submitted:
+                    if sample_roi == "Uploaded GeoJSON" and data is None:
+                        empty_text.warning(
+                            "Steps to create a timelapse: Draw a rectangle on the map -> Export it as a GeoJSON -> Upload it back to the app -> Click the Submit button. Alternatively, you can select a sample ROI from the dropdown list."
+                        )
+                    else:
+                        empty_text.text("Computing... Please wait...")
+
+                        geemap.goes_timelapse(
+                            roi,
+                            out_gif,
+                            start_date=start,
+                            end_date=end,
+                            data=satellite,
+                            scan=scan_type.replace(" ", "_").lower(),
+                            dimensions=768,
+                            framesPerSecond=speed,
+                            date_format="YYYY-MM-dd HH:mm",
+                            xy=("3%", "3%"),
+                            text_sequence=None,
+                            font_type="arial.ttf",
+                            font_size=font_size,
+                            font_color=font_color,
+                            add_progress_bar=add_progress_bar,
+                            progress_bar_color=progress_bar_color,
+                            progress_bar_height=5,
+                            loop=0,
+                            overlay_data=overlay_data,
+                            overlay_color=overlay_color,
+                            overlay_width=overlay_width,
+                            overlay_opacity=overlay_opacity,
+                            mp4=mp4,
+                            fading=fading,
+                        )
+
+                        if out_gif is not None and os.path.exists(out_gif):
+                            empty_text.text(
+                                "Right click the GIF to save it to your computer👇"
+                            )
+                            empty_image.image(out_gif)
+
+                            out_mp4 = out_gif.replace(".gif", ".mp4")
+                            if mp4 and os.path.exists(out_mp4):
+                                with empty_video:
+                                    st.text(
+                                        "Right click the MP4 to save it to your computer👇"
+                                    )
+                                    st.video(out_gif.replace(".gif", ".mp4"))
+
+                            if add_fire:
+                                out_fire_gif = geemap.temp_file_path(".gif")
+                                empty_fire_text.text(
+                                    "Delineating Fire Hotspot... Please wait..."
+                                )
+                                geemap.goes_fire_timelapse(
+                                    out_fire_gif,
+                                    start_date=start,
+                                    end_date=end,
+                                    data=satellite,
+                                    scan=scan_type.replace(" ", "_").lower(),
+                                    region=roi,
+                                    dimensions=768,
+                                    framesPerSecond=speed,
+                                    date_format="YYYY-MM-dd HH:mm",
+                                    xy=("3%", "3%"),
+                                    text_sequence=None,
+                                    font_type="arial.ttf",
+                                    font_size=font_size,
+                                    font_color=font_color,
+                                    add_progress_bar=add_progress_bar,
+                                    progress_bar_color=progress_bar_color,
+                                    progress_bar_height=5,
+                                    loop=0,
+                                )
+                                if os.path.exists(out_fire_gif):
+                                    empty_fire_image.image(out_fire_gif)
+                        else:
+                            empty_text.text(
+                                "Something went wrong, either the ROI is too big or there are no data available for the specified date range. Please try a smaller ROI or different date range."
+                            )
+
+        elif collection == "MODIS Vegetation Indices (NDVI/EVI) 16-Day Global 1km":
+
+            video_empty.video("https://youtu.be/16fA2QORG4A")
+
+            satellite = st.selectbox("Select a satellite:", ["Terra", "Aqua"])
+            band = st.selectbox("Select a band:", ["NDVI", "EVI"])
+
+            with st.form("submit_modis_form"):
+
+                roi = None
+                if st.session_state.get("roi") is not None:
+                    roi = st.session_state.get("roi")
+                out_gif = geemap.temp_file_path(".gif")
+
+                with st.expander("Customize timelapse"):
+
+                    start = st.date_input(
+                        "Select a start date:", datetime.date(2000, 2, 8)
+                    )
+                    end = st.date_input("Select an end date:", datetime.date.today())
+
+                    start_date = start.strftime("%Y-%m-%d")
+                    end_date = end.strftime("%Y-%m-%d")
+
+                    speed = st.slider("Frames per second:", 1, 30, 5)
+                    add_progress_bar = st.checkbox("Add a progress bar", True)
+                    progress_bar_color = st.color_picker(
+                        "Progress bar color:", "#0000ff"
+                    )
+                    font_size = st.slider("Font size:", 10, 50, 20)
+                    font_color = st.color_picker("Font color:", "#ffffff")
+
+                    font_type = st.selectbox(
+                        "Select the font type for the title:",
+                        ["arial.ttf", "alibaba.otf"],
+                        index=0,
+                    )
+                    fading = st.slider(
+                        "Fading duration (seconds) for each frame:", 0.0, 3.0, 0.0
+                    )
+                    mp4 = st.checkbox("Save timelapse as MP4", True)
+
+                empty_text = st.empty()
+                empty_image = st.empty()
+                empty_video = st.container()
+
+                submitted = st.form_submit_button("Submit")
+                if submitted:
+                    if sample_roi == "Uploaded GeoJSON" and data is None:
+                        empty_text.warning(
+                            "Steps to create a timelapse: Draw a rectangle on the map -> Export it as a GeoJSON -> Upload it back to the app -> Click the Submit button. Alternatively, you can select a sample ROI from the dropdown list."
+                        )
+                    else:
+
+                        empty_text.text("Computing... Please wait...")
+
+                        geemap.modis_ndvi_timelapse(
+                            roi,
+                            out_gif,
+                            satellite,
+                            band,
+                            start_date,
+                            end_date,
+                            768,
+                            speed,
+                            overlay_data=overlay_data,
+                            overlay_color=overlay_color,
+                            overlay_width=overlay_width,
+                            overlay_opacity=overlay_opacity,
+                            mp4=mp4,
+                            fading=fading,
+                        )
+
+                        geemap.reduce_gif_size(out_gif)
+
+                        empty_text.text(
+                            "Right click the GIF to save it to your computer👇"
+                        )
+                        empty_image.image(out_gif)
+
+                        out_mp4 = out_gif.replace(".gif", ".mp4")
+                        if mp4 and os.path.exists(out_mp4):
+                            with empty_video:
+                                st.text(
+                                    "Right click the MP4 to save it to your computer👇"
+                                )
+                                st.video(out_gif.replace(".gif", ".mp4"))
+
+        elif collection == "Any Earth Engine ImageCollection":
+
+            with st.form("submit_ts_form"):
+                with st.expander("Customize timelapse"):
+
+                    title = st.text_input(
+                        "Enter a title to show on the timelapse: ", "Timelapse"
+                    )
+                    start_date = st.date_input(
+                        "Select the start date:", datetime.date(2020, 1, 1)
+                    )
+                    end_date = st.date_input(
+                        "Select the end date:", datetime.date.today()
+                    )
+                    frequency = st.selectbox(
+                        "Select a temporal frequency:",
+                        ["year", "quarter", "month", "day", "hour", "minute", "second"],
+                        index=0,
+                    )
+                    reducer = st.selectbox(
+                        "Select a reducer for aggregating data:",
+                        ["median", "mean", "min", "max", "sum", "variance", "stdDev"],
+                        index=0,
+                    )
+                    data_format = st.selectbox(
+                        "Select a date format to show on the timelapse:",
+                        [
+                            "YYYY-MM-dd",
+                            "YYYY",
+                            "YYMM-MM",
+                            "YYYY-MM-dd HH:mm",
+                            "YYYY-MM-dd HH:mm:ss",
+                            "HH:mm",
+                            "HH:mm:ss",
+                            "w",
+                            "M",
+                            "d",
+                            "D",
+                        ],
+                        index=0,
+                    )
+
+                    speed = st.slider("Frames per second:", 1, 30, 5)
+                    add_progress_bar = st.checkbox("Add a progress bar", True)
+                    progress_bar_color = st.color_picker(
+                        "Progress bar color:", "#0000ff"
+                    )
+                    font_size = st.slider("Font size:", 10, 50, 30)
+                    font_color = st.color_picker("Font color:", "#ffffff")
+                    font_type = st.selectbox(
+                        "Select the font type for the title:",
+                        ["arial.ttf", "alibaba.otf"],
+                        index=0,
+                    )
+                    fading = st.slider(
+                        "Fading duration (seconds) for each frame:", 0.0, 3.0, 0.0
+                    )
+                    mp4 = st.checkbox("Save timelapse as MP4", True)
+
+                empty_text = st.empty()
+                empty_image = st.empty()
+                empty_video = st.container()
+                empty_fire_image = st.empty()
+
+                roi = None
+                if st.session_state.get("roi") is not None:
+                    roi = st.session_state.get("roi")
+                out_gif = geemap.temp_file_path(".gif")
+
+                submitted = st.form_submit_button("Submit")
+                if submitted:
+
+                    if sample_roi == "Uploaded GeoJSON" and data is None:
+                        empty_text.warning(
+                            "Steps to create a timelapse: Draw a rectangle on the map -> Export it as a GeoJSON -> Upload it back to the app -> Click the Submit button. Alternatively, you can select a sample ROI from the dropdown list."
+                        )
+                    else:
+
+                        empty_text.text("Computing... Please wait...")
+                        try:
+                            geemap.create_timelapse(
+                                st.session_state.get("ee_asset_id"),
+                                start_date=start_date.strftime("%Y-%m-%d"),
+                                end_date=end_date.strftime("%Y-%m-%d"),
+                                region=roi,
+                                frequency=frequency,
+                                reducer=reducer,
+                                date_format=data_format,
+                                out_gif=out_gif,
+                                bands=st.session_state.get("bands"),
+                                palette=st.session_state.get("palette"),
+                                vis_params=st.session_state.get("vis_params"),
+                                dimensions=768,
+                                frames_per_second=speed,
+                                crs="EPSG:3857",
+                                overlay_data=overlay_data,
+                                overlay_color=overlay_color,
+                                overlay_width=overlay_width,
+                                overlay_opacity=overlay_opacity,
+                                title=title,
+                                title_xy=("2%", "90%"),
+                                add_text=True,
+                                text_xy=("2%", "2%"),
+                                text_sequence=None,
+                                font_type=font_type,
+                                font_size=font_size,
+                                font_color=font_color,
+                                add_progress_bar=add_progress_bar,
+                                progress_bar_color=progress_bar_color,
+                                progress_bar_height=5,
+                                loop=0,
+                                mp4=mp4,
+                                fading=fading,
+                            )
+                        except:
+                            empty_text.error(
+                                "An error occurred while computing the timelapse. You probably requested too much data. Try reducing the ROI or timespan."
+                            )
+
+                        empty_text.text(
+                            "Right click the GIF to save it to your computer👇"
+                        )
+                        empty_image.image(out_gif)
+
+                        out_mp4 = out_gif.replace(".gif", ".mp4")
+                        if mp4 and os.path.exists(out_mp4):
+                            with empty_video:
+                                st.text(
+                                    "Right click the MP4 to save it to your computer👇"
+                                )
+                                st.video(out_gif.replace(".gif", ".mp4"))
+
+        elif collection in [
+            "MODIS Gap filled Land Surface Temperature Daily",
+            "MODIS Ocean Color SMI",
+        ]:
+
+            with st.form("submit_ts_form"):
+                with st.expander("Customize timelapse"):
+
+                    title = st.text_input(
+                        "Enter a title to show on the timelapse: ",
+                        "Surface Temperature",
+                    )
+                    start_date = st.date_input(
+                        "Select the start date:", datetime.date(2018, 1, 1)
+                    )
+                    end_date = st.date_input(
+                        "Select the end date:", datetime.date(2020, 12, 31)
+                    )
+                    frequency = st.selectbox(
+                        "Select a temporal frequency:",
+                        ["year", "quarter", "month", "week", "day"],
+                        index=2,
+                    )
+                    reducer = st.selectbox(
+                        "Select a reducer for aggregating data:",
+                        ["median", "mean", "min", "max", "sum", "variance", "stdDev"],
+                        index=0,
+                    )
+
+                    vis_params = st.text_area(
+                        "Enter visualization parameters",
+                        "",
+                        help="Enter a string in the format of a dictionary, such as '{'min': 23, 'max': 32}'",
+                    )
+
+                    speed = st.slider("Frames per second:", 1, 30, 5)
+                    add_progress_bar = st.checkbox("Add a progress bar", True)
+                    progress_bar_color = st.color_picker(
+                        "Progress bar color:", "#0000ff"
+                    )
+                    font_size = st.slider("Font size:", 10, 50, 30)
+                    font_color = st.color_picker("Font color:", "#ffffff")
+                    font_type = st.selectbox(
+                        "Select the font type for the title:",
+                        ["arial.ttf", "alibaba.otf"],
+                        index=0,
+                    )
+                    add_colorbar = st.checkbox("Add a colorbar", True)
+                    colorbar_label = st.text_input(
+                        "Enter the colorbar label:", "Surface Temperature (°C)"
+                    )
+                    fading = st.slider(
+                        "Fading duration (seconds) for each frame:", 0.0, 3.0, 0.0
+                    )
+                    mp4 = st.checkbox("Save timelapse as MP4", True)
+
+                empty_text = st.empty()
+                empty_image = st.empty()
+                empty_video = st.container()
+
+                roi = None
+                if st.session_state.get("roi") is not None:
+                    roi = st.session_state.get("roi")
+                out_gif = geemap.temp_file_path(".gif")
+
+                submitted = st.form_submit_button("Submit")
+                if submitted:
+
+                    if sample_roi == "Uploaded GeoJSON" and data is None:
+                        empty_text.warning(
+                            "Steps to create a timelapse: Draw a rectangle on the map -> Export it as a GeoJSON -> Upload it back to the app -> Click the Submit button. Alternatively, you can select a sample ROI from the dropdown list."
+                        )
+                    else:
+
+                        empty_text.text("Computing... Please wait...")
+                        try:
+                            if (
+                                collection
+                                == "MODIS Gap filled Land Surface Temperature Daily"
+                            ):
+                                out_gif = geemap.create_timelapse(
+                                    st.session_state.get("ee_asset_id"),
+                                    start_date=start_date.strftime("%Y-%m-%d"),
+                                    end_date=end_date.strftime("%Y-%m-%d"),
+                                    region=roi,
+                                    bands=None,
+                                    frequency=frequency,
+                                    reducer=reducer,
+                                    date_format=None,
+                                    out_gif=out_gif,
+                                    palette=st.session_state.get("palette"),
+                                    vis_params=None,
+                                    dimensions=768,
+                                    frames_per_second=speed,
+                                    crs="EPSG:3857",
+                                    overlay_data=overlay_data,
+                                    overlay_color=overlay_color,
+                                    overlay_width=overlay_width,
+                                    overlay_opacity=overlay_opacity,
+                                    title=title,
+                                    title_xy=("2%", "90%"),
+                                    add_text=True,
+                                    text_xy=("2%", "2%"),
+                                    text_sequence=None,
+                                    font_type=font_type,
+                                    font_size=font_size,
+                                    font_color=font_color,
+                                    add_progress_bar=add_progress_bar,
+                                    progress_bar_color=progress_bar_color,
+                                    progress_bar_height=5,
+                                    add_colorbar=add_colorbar,
+                                    colorbar_label=colorbar_label,
+                                    loop=0,
+                                    mp4=mp4,
+                                    fading=fading,
+                                )
+                            elif collection == "MODIS Ocean Color SMI":
+                                if vis_params.startswith("{") and vis_params.endswith(
+                                    "}"
+                                ):
+                                    vis_params = eval(vis_params)
+                                else:
+                                    vis_params = None
+                                out_gif = geemap.modis_ocean_color_timelapse(
+                                    st.session_state.get("ee_asset_id"),
+                                    start_date=start_date.strftime("%Y-%m-%d"),
+                                    end_date=end_date.strftime("%Y-%m-%d"),
+                                    region=roi,
+                                    bands=st.session_state["band"],
+                                    frequency=frequency,
+                                    reducer=reducer,
+                                    date_format=None,
+                                    out_gif=out_gif,
+                                    palette=st.session_state.get("palette"),
+                                    vis_params=vis_params,
+                                    dimensions=768,
+                                    frames_per_second=speed,
+                                    crs="EPSG:3857",
+                                    overlay_data=overlay_data,
+                                    overlay_color=overlay_color,
+                                    overlay_width=overlay_width,
+                                    overlay_opacity=overlay_opacity,
+                                    title=title,
+                                    title_xy=("2%", "90%"),
+                                    add_text=True,
+                                    text_xy=("2%", "2%"),
+                                    text_sequence=None,
+                                    font_type=font_type,
+                                    font_size=font_size,
+                                    font_color=font_color,
+                                    add_progress_bar=add_progress_bar,
+                                    progress_bar_color=progress_bar_color,
+                                    progress_bar_height=5,
+                                    add_colorbar=add_colorbar,
+                                    colorbar_label=colorbar_label,
+                                    loop=0,
+                                    mp4=mp4,
+                                    fading=fading,
+                                )
+                        except:
+                            empty_text.error(
+                                "Something went wrong. You probably requested too much data. Try reducing the ROI or timespan."
+                            )
+
+                        if out_gif is not None and os.path.exists(out_gif):
+
+                            geemap.reduce_gif_size(out_gif)
+
+                            empty_text.text(
+                                "Right click the GIF to save it to your computer👇"
+                            )
+                            empty_image.image(out_gif)
+
+                            out_mp4 = out_gif.replace(".gif", ".mp4")
+                            if mp4 and os.path.exists(out_mp4):
+                                with empty_video:
+                                    st.text(
+                                        "Right click the MP4 to save it to your computer👇"
+                                    )
+                                    st.video(out_gif.replace(".gif", ".mp4"))
+
+                        else:
+                            st.error(
+                                "Something went wrong. You probably requested too much data. Try reducing the ROI or timespan."
+                            )
+
+        elif collection == "USDA National Agriculture Imagery Program (NAIP)":
+
+            with st.form("submit_naip_form"):
+                with st.expander("Customize timelapse"):
+
+                    title = st.text_input(
+                        "Enter a title to show on the timelapse: ", "NAIP Timelapse"
+                    )
+
+                    years = st.slider(
+                        "Start and end year:",
+                        2003,
+                        today.year,
+                        (2003, today.year),
+                    )
+
+                    bands = st.selectbox(
+                        "Select a band combination:", ["N/R/G", "R/G/B"], index=0
+                    )
+
+                    speed = st.slider("Frames per second:", 1, 30, 3)
+                    add_progress_bar = st.checkbox("Add a progress bar", True)
+                    progress_bar_color = st.color_picker(
+                        "Progress bar color:", "#0000ff"
+                    )
+                    font_size = st.slider("Font size:", 10, 50, 30)
+                    font_color = st.color_picker("Font color:", "#ffffff")
+                    font_type = st.selectbox(
+                        "Select the font type for the title:",
+                        ["arial.ttf", "alibaba.otf"],
+                        index=0,
+                    )
+                    fading = st.slider(
+                        "Fading duration (seconds) for each frame:", 0.0, 3.0, 0.0
+                    )
+                    mp4 = st.checkbox("Save timelapse as MP4", True)
+
+                empty_text = st.empty()
+                empty_image = st.empty()
+                empty_video = st.container()
+                empty_fire_image = st.empty()
+
+                roi = None
+                if st.session_state.get("roi") is not None:
+                    roi = st.session_state.get("roi")
+                out_gif = geemap.temp_file_path(".gif")
+
+                submitted = st.form_submit_button("Submit")
+                if submitted:
+
+                    if sample_roi == "Uploaded GeoJSON" and data is None:
+                        empty_text.warning(
+                            "Steps to create a timelapse: Draw a rectangle on the map -> Export it as a GeoJSON -> Upload it back to the app -> Click the Submit button. Alternatively, you can select a sample ROI from the dropdown list."
+                        )
+                    else:
+
+                        empty_text.text("Computing... Please wait...")
+                        try:
+                            geemap.naip_timelapse(
+                                roi,
+                                years[0],
+                                years[1],
+                                out_gif,
+                                bands=bands.split("/"),
+                                palette=st.session_state.get("palette"),
+                                vis_params=None,
+                                dimensions=768,
+                                frames_per_second=speed,
+                                crs="EPSG:3857",
+                                overlay_data=overlay_data,
+                                overlay_color=overlay_color,
+                                overlay_width=overlay_width,
+                                overlay_opacity=overlay_opacity,
+                                title=title,
+                                title_xy=("2%", "90%"),
+                                add_text=True,
+                                text_xy=("2%", "2%"),
+                                text_sequence=None,
+                                font_type=font_type,
+                                font_size=font_size,
+                                font_color=font_color,
+                                add_progress_bar=add_progress_bar,
+                                progress_bar_color=progress_bar_color,
+                                progress_bar_height=5,
+                                loop=0,
+                                mp4=mp4,
+                                fading=fading,
+                            )
+                        except:
+                            empty_text.error(
+                                "Something went wrong. You either requested too much data or the ROI is outside the U.S."
+                            )
+
+                        if out_gif is not None and os.path.exists(out_gif):
+
+                            empty_text.text(
+                                "Right click the GIF to save it to your computer👇"
+                            )
+                            empty_image.image(out_gif)
+
+                            out_mp4 = out_gif.replace(".gif", ".mp4")
+                            if mp4 and os.path.exists(out_mp4):
+                                with empty_video:
+                                    st.text(
+                                        "Right click the MP4 to save it to your computer👇"
+                                    )
+                                    st.video(out_gif.replace(".gif", ".mp4"))
+
+                        else:
+                            st.error(
+                                "Something went wrong. You either requested too much data or the ROI is outside the U.S."
+                            )
+
+
+try:
+    app()
+except Exception as e:
+    pass