REGIONAL AND GLOBAL-SCALE LULC MAPPING BY SYNERGETIC INTEGRATION OF NDVI FROM OPTICAL DATA AND DEGREE OF POLARIZATION FROM SAR DATA

Regional and Global-Scale LULC Mapping by Synergetic Integration of NDVI From Optical Data and Degree of Polarization From SAR Data

This study presents a novel classification model, the Normalized Difference Vegetation Index (NDVI), degree of polarization (DOP), texture classification model (NDTCM), for both regional and global scales, utilizing a synergistic approach that combines the NDVI from optical data with the DOP and its associated texture from synthetic aperture radar

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Mapping Soil Transmitted Helminths and Schistosomiasis under Uncertainty: A Systematic Review and Critical Appraisal of Evidence.

BACKGROUND:Spatial modelling of STH and schistosomiasis epidemiology is now commonplace.Spatial epidemiological studies help inform decisions regarding the number of people at risk as well as the geographic areas that need to be targeted with mass drug administration; however, limited attention has been given to propagated uncertainties, their inte

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Improved the Accuracy of Seafloor Topography from Altimetry-Derived Gravity by the Topography Constraint Factor Weight Optimization Method

Gravity geologic method is one of the important to derive seafloor topography by using altimetry-gravity, and its committed step is gridding of regional gravity anomaly.Hence, we proposed a topography constraint factor weight optimization (TCFWO) method based on ordinary kriging method.This method fully considers the influence of topography factors

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