[word=of] □?
[word=of] [□]?
[word=of] []?
One of the more exciting prospects for high-resolution , high-accurancy digital topographic data is that they can be inverted - - either by themselves or with other geophysical data - - to constrain unknown tectonic processes of interest . We envision a SAR mission capable of two separate modes of operation : ( a ) a monitoring mode in which global coverage is offered to guarantee that " before " pictures are available in all areas of interest with reasonable repeat times ; and ( b ) a rapid-response mode to allow acquisition of " after " pictures shortly after an event of interest . The working group felt the demonstrated capabilities of imaging radars for investigating terrestrial ecosystems could best be organized into four broad categories : ( 1 ) classification and detection of change in land cover ; ( 2 ) estimation of woody plant biomass ; ( 3 ) monitoring the extent and timing of inundation ; and ( 4 ) monitoring other temporally dynamic processes , such as freeze / thaw status and soil moisture in fire-disturbed boreal forests . This type of pruning can be delayed until the extent of flowering can be determined . Space-based stereo-optical data would likely suffer from the same lack of consistency when one attempts to integrate it into a global data set . The best solution of course is to choose varieties with some resistance to the disease . The objectives of pruning are to remove dead and diseased wood , shape the bush , maintain an adequate number of vigorous main stems to prevent overbearing , and to stimulate new shoot growth . Further terrestrial applications for remotely sensed data sets include inventory of forest resources , monitoring agricultural crops , locating vegetation containing particular species of interest , and monitoring land use and land-use change . High spatial resolution is required to map the subtle variations that influence the biologic and geologic processes of interest . Errors in the DEM contributed about 9 mm of noise to the coseismic offset estimates obtained by Massonet et al. ( 1993 ) , where rms vertical errors in the topographic data were estimated after the fact to be about + / -24 m. Systematic errors in selected areas can , of course , be much larger than this .