Drought impact assessment from monitoring the seasonality of vegetation condition using long-term time-series satellite images: A case study of Mt. Kenya region

Environmental Monitoring and Assessment

Volumn 185, Issue 5, 2013, Pages 4117-4124

  Song, Youngkeun ^a   Njoroge, John B ^b   Morimoto, Yukihiro ^c  

^a KYOTO UNIVERSITY   (Japan)

^b JOMO KENYATTA UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Kenya)

^c Ukyo ku   (Japan)

Author keywords

Drought assessment; EVI; MODIS; Phenology; Remote sensing

Indexed keywords

ENHANCED VEGETATION INDEX; EVI; LANDSCAPE MANAGEMENT; LONG TERM MONITORING; METEOROLOGICAL STATION; MODIS; PHENOLOGY; SATELLITE REMOTE SENSING DATA;

FORESTRY; PIXELS; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; VEGETATION;

DROUGHT;

RAIN;

ASSESSMENT METHOD; DROUGHT; LAND COVER; MODIS; PHENOLOGY; PRECIPITATION (CLIMATOLOGY); REMOTE SENSING; SATELLITE IMAGERY; SEASONALITY; TIME SERIES ANALYSIS; VEGETATION COVER; VEGETATION TYPE;

ARTICLE; CASE STUDY; DROUGHT; ENVIRONMENTAL IMPACT ASSESSMENT; KENYA; LAND USE; LANDSCAPE; PRECIPITATION; SEASONAL VARIATION; TELECOMMUNICATION; TIME SERIES ANALYSIS; VEGETATION; ENVIRONMENTAL MONITORING; EQUIPMENT; METHODOLOGY; PLANT; REMOTE SENSING; SEASON; SPACE FLIGHT;

KENYA; MOUNT KENYA;

DROUGHTS; ENVIRONMENTAL MONITORING; KENYA; PLANTS; REMOTE SENSING TECHNOLOGY; SEASONS; SPACECRAFT;

MLCS; MLOWN;

EID: 84878359028     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-012-2854-z     Document Type: Article

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