isprs archives XLI B8 1003 2016
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Optical remote sensing data source can interpret vegetation and crops with higher accuracies; however, it performed lower capabilities of distinguishing different
Model validation is done by comparison of the differences in the elevation among the photogrammetric point cloud and the GPS data along different beach profiles.. Results
KEY WORDS: radar vegetation index, RVI, ALOS-2, PALSAR2, crop, biomass, rice, paddy
KEY WORDS: Unmanned aerial vehicle, satellite remote sensing, vegetation indices, winter wheat, site specific crop
KEY WORDS: Forest stress analysis, Hyperspectral Image analysis, Sun Induced Chlorophyll Fluorescence, Hong Kong, Hyperion satellite images, Vegetation
By least-cost path method in the year 2012 and 2014, the forest boundaries of section afforestation land and low- elevation mountain ecosystem is connected after many
KEY WORDS: Crown Delineation , Canopy Height Model (CHM), Local Maxima, Curvature, Slope, Thiessen
Using the initial seven PCA components instead of the twenty original topographic attributes does not significantly change identification accuracy but reduce computational
