isprs archives XLI B7 961 2016
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Mapping Robinia pseudoacacia Forest Health Conditions by Using Combined Spectral, Spatial and Textural Information Extracted from IKONOS Imagery and Random Forest
The major objective of this study is to develop a retrieval model that is acceptable to estimate soil moisture quickly in the whole coal mining zone of Northern of Shaanxi
The combination of spectral reflectance values of image bands, image texture, and NDVI from WorldView-2 imagery, combined with an object-based classification approach, resulted
Inspirited by the thresholding-based methods, ACCA ( Irish et al., 2000 ) and Fmask ( Zhu et al., 2012 ), several spectral bands and band radios that defined according
The research on the formulas and values of certain indices consisted in analyzing spectral (for NDVI) and textural (granulometric maps) data regarding different
In the tested methods, different approaches for classification were applied: spectral (based only on laser reflectance intensity images), spectral with elevation data as additional
The study has comprehensively analyzed crop spectral reflectance characteristics, researched and verified the response relationship of crops biochemical parameter changes under
Ground survey was simultaneously investigated with the acquisition of hyperspectral data to understand the benthic types and cover ratio, water depth and chlorophyll-a
