{"action":"created","issue":{"url":"https://api.github.com/repos/vwmaus/dtwSat/issues/27","repository_url":"https://api.github.com/repos/vwmaus/dtwSat","labels_url":"https://api.github.com/repos/vwmaus/dtwSat/issues/27/labels{/name}","comments_url":"https://api.github.com/repos/vwmaus/dtwSat/issues/27/comments","events_url":"https://api.github.com/repos/vwmaus/dtwSat/issues/27/events","html_url":"https://github.com/vwmaus/dtwSat/issues/27","id":385110952,"node_id":"MDU6SXNzdWUzODUxMTA5NTI=","number":27,"title":"Processing Time obout Sentinal-2 data","user":{"login":"Mengshiyao","id":39991384,"node_id":"MDQ6VXNlcjM5OTkxMzg0","avatar_url":"https://avatars2.githubusercontent.com/u/39991384?v=4","gravatar_id":"","url":"https://api.github.com/users/Mengshiyao","html_url":"https://github.com/Mengshiyao","followers_url":"https://api.github.com/users/Mengshiyao/followers","following_url":"https://api.github.com/users/Mengshiyao/following{/other_user}","gists_url":"https://api.github.com/users/Mengshiyao/gists{/gist_id}","starred_url":"https://api.github.com/users/Mengshiyao/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Mengshiyao/subscriptions","organizations_url":"https://api.github.com/users/Mengshiyao/orgs","repos_url":"https://api.github.com/users/Mengshiyao/repos","events_url":"https://api.github.com/users/Mengshiyao/events{/privacy}","received_events_url":"https://api.github.com/users/Mengshiyao/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":5,"created_at":"2018-11-28T05:43:46Z","updated_at":"2018-12-05T09:02:01Z","closed_at":null,"author_association":"NONE","body":"Hi Victor,\r\nI have used your package successfully on landsat data which is 400*400 pixel and 15 layers.But this time i try your method on sentinal-2 NDVI data which is abou 2500*2300 pixel (10m resolution) and 21 layer,using  twdtwApplyParallel ,it has run for more than 24 hours with 0% progress bar.(i am afraid that it will never stop)\r\nI find my computer CPU utilization is low but RAM utilization is 99%.\r\nBy the way,my computer is 4core 3.2GHz,8G RAM.\r\nIs there any way to speed up? "},"comment":{"url":"https://api.github.com/repos/vwmaus/dtwSat/issues/comments/444410110","html_url":"https://github.com/vwmaus/dtwSat/issues/27#issuecomment-444410110","issue_url":"https://api.github.com/repos/vwmaus/dtwSat/issues/27","id":444410110,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0NDQxMDExMA==","user":{"login":"Mengshiyao","id":39991384,"node_id":"MDQ6VXNlcjM5OTkxMzg0","avatar_url":"https://avatars2.githubusercontent.com/u/39991384?v=4","gravatar_id":"","url":"https://api.github.com/users/Mengshiyao","html_url":"https://github.com/Mengshiyao","followers_url":"https://api.github.com/users/Mengshiyao/followers","following_url":"https://api.github.com/users/Mengshiyao/following{/other_user}","gists_url":"https://api.github.com/users/Mengshiyao/gists{/gist_id}","starred_url":"https://api.github.com/users/Mengshiyao/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Mengshiyao/subscriptions","organizations_url":"https://api.github.com/users/Mengshiyao/orgs","repos_url":"https://api.github.com/users/Mengshiyao/repos","events_url":"https://api.github.com/users/Mengshiyao/events{/privacy}","received_events_url":"https://api.github.com/users/Mengshiyao/received_events","type":"User","site_admin":false},"created_at":"2018-12-05T09:02:01Z","updated_at":"2018-12-05T09:02:01Z","author_association":"NONE","body":"Thanks a lot Victor!\r\nBut here is another problem as follow. When i try to assess the classification result, it report errors:\r\n\r\n\r\n\r\n> twdtw_assess <- twdtwAssess(object=land_cover_maps, y=validation_samples,proj4string=proj_str, conf.int=.95, rm.nosample=TRUE,start_date=dates[1])\r\nWarning message:\r\nIn twdtwAssess.twdtwRaster(object, y, labels, id.labels, proj4string,  :\r\n  The argument rm.nosample is obsolete and will be removed from the next package release\r\n> twdtw_assess\r\nAn object of class \"twdtwAssessment\"\r\nNumber of classification intervals: 1 \r\nAccuracy metrics summary\r\n\r\nOverall\r\nAccuracy      Var       sd      ci* \r\n       0        0        0        0 \r\n\r\nUser's\r\n              Accuracy Var sd ci*\r\nalfalfa              1   0  0   0\r\ndurum-wheat          1   0  0   0\r\nfallow               1   0  0   0\r\nlettuce              1   0  0   0\r\nonions               1   0  0   0\r\notherhay             1   0  0   0\r\nsugar-beets          1   0  0   0\r\nunclassified         1   0  0   0\r\n\r\nProducer's\r\n              Accuracy Var sd ci*\r\nalfalfa              1   0  0   0\r\ndurum-wheat          1   0  0   0\r\nfallow               1   0  0   0\r\nlettuce              1   0  0   0\r\nonions               1   0  0   0\r\notherhay             1   0  0   0\r\nsugar-beets          1   0  0   0\r\nunclassified         1   0  0   0\r\n\r\nArea and uncertainty\r\n               Mapped Adjusted ci*\r\nalfalfa       9.3e+07        0   0\r\ndurum-wheat   2.5e+07        0   0\r\nfallow        2.2e+08        0   0\r\nlettuce       5.9e+07        0   0\r\nonions        3.4e+07        0   0\r\notherhay      7.5e+07        0   0\r\nsugar-beets   7.8e+07        0   0\r\nunclassified  0.0e+00        0   0\r\n\r\n* 95 % confidence interva\r\n"}}
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