A new approach for using time-series remote-sensing images to detect changes in vegetation cover and composition in drylands: A case study of eastern Kenya

International Journal of Remote Sensing

Volumn 32, Issue 21, 2011, Pages 6025-6045

  Omuto, C T ^a  

^a UNIVERSITY OF NAIROBI   (Kenya)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED VERY HIGH RESOLUTION RADIOMETERS (AVHRR); RAIN; REGIONAL PLANNING; REMOTE SENSING; SATELLITE IMAGERY; SOIL CONSERVATION; TIME SERIES;

FIELD VALIDATION; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; NORMALIZED DIFFERENCE VEGETATION INDEX; REGIONAL ANALYSIS; REMOTE SENSING IMAGES; VEGETATION COMPOSITION; VEGETATION DEGRADATION; VEGETATION DYNAMICS;

VEGETATION;

AGRICULTURAL LAND; AVHRR; GRASSLAND; IMAGE ANALYSIS; MODIS; NDVI; RAINFALL; REMOTE SENSING; TIME SERIES ANALYSIS; VEGETATION COVER; VEGETATION DYNAMICS; VEGETATION TYPE;

KENYA;

EID: 82055176094     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2010.499384     Document Type: Article

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