Rao, P. Jagadeeswara, Department of Geo-Engineering, Andhra University, Andhra Pradesh, India, India
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Vol 7, No 2 (2016) - Research Articles
FEATURE SELECTION METHODS FOR OBJECT-BASED CLASSIFICATION OF TROPICAL FOREST USING SPOT 5 IMAGERY
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Keywords
AMSR 2, microwave remote sensors, precipitation, flood
ASTER imagery, SAM, SID, vegetation species, spectral analysis
Aerosol, MISR, AOD, NDVI
Aerosols, color ratio, particulate depolarization ratio, CALIPSO, backscatter coefficient
Ballia-India
Cast shadow, self shadow, shadow detection, VHR satellite images, support vector machine
Climate, MODIS NDVI, LST, time series, vegetation phenology
Coastal vulnerability index, digital elevation model, shoreline change, geomorphology
Digital classification
Forest change, image subtraction, image ratioing, SAM
GIS
Geomorphic features
Groundwater Arsenic
Land Use, Land Cover, R S Data analysis, Level of information, Jhunjhunu, Classification
Land Use, Land Cover, change analysis, Remote Sensing & GIS.
Land use/land cover, thematic mapper, visual image interpretation, GIS
Landslide, GIS, remote sensing, EWM, FPW
Microwave remote sensing, soil moisture, AMSR-E, brightness temperature, passive sensors
Remote Sensing/GIS – Biomass estimation – Aquatic vegetation - Potamogeton pectinatus – Above and belowground biomass.
SRTM data
watershed
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