The benefit of synthetically generated RapidEye and Landsat 8 data fusion time series for riparian forest disturbance monitoring

Remote Sensing of Environment

Volumn 177, Issue , 2016, Pages 237-247

  Gärtner, Philipp ^a   Förster, Michael ^a   Kleinschmit, Birgit ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

Apocheima cinerarius; Defoliator; ESTARFM; Image fusion; Insect disturbance; Tugai forest

Indexed keywords

DECISION MAKING; FORESTRY; IMAGE ANALYSIS; IMAGE FUSION; MEAN SQUARE ERROR; QUALITY CONTROL; REGRESSION ANALYSIS; TIME SERIES; TIME SERIES ANALYSIS;

APOCHEIMA CINERARIUS; DEFOLIATOR; ESTARFM; INSECT DISTURBANCE; TUGAI FOREST;

IMAGE ENHANCEMENT;

ACCURACY ASSESSMENT; BUTTERFLY; DATA PROCESSING; DETECTION METHOD; ENVIRONMENTAL DISTURBANCE; ENVIRONMENTAL MODELING; ENVIRONMENTAL MONITORING; LANDSAT; NDVI; PEST DAMAGE; RAPIDEYE; REGRESSION ANALYSIS; RESOLUTION; RIPARIAN FOREST; TIME SERIES;

HEXAPODA;

EID: 84961116115     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.01.028     Document Type: Article

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