Derivation of long-term spatiotemporal landslide activity—A multi-sensor time series approach

Remote Sensing of Environment

Volumn 186, Issue , 2016, Pages 88-104

  Behling, Robert ^a   Roessner, Sigrid ^a   Golovko, Darya ^a   Kleinschmit, Birgit ^b  

^a GFZ GERMAN RESEARCH CENTRE FOR GEOSCIENCES   (Germany)

^b TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

Central Asia; Change detection; Kyrgyzstan; Landslide detection; Landslide frequency; Landslide hazard; Landslide identification; Multi sensor; NDVI trajectories; Optical remote sensing; Regional scale; Spatiotemporal analysis; Tien Shan; Time series analysis

Indexed keywords

HAZARDS; REMOTE SENSING; RISK ASSESSMENT; TIME SERIES ANALYSIS;

CENTRAL ASIA; CHANGE DETECTION; KYRGYZSTAN; LANDSLIDE DETECTION; LANDSLIDE FREQUENCY; LANDSLIDE HAZARD; LANDSLIDE IDENTIFICATION; MULTI SENSOR; OPTICAL REMOTE SENSING; REGIONAL SCALE; SPATIOTEMPORAL ANALYSIS; TIEN SHAN;

LANDSLIDES;

DATABASE; DETECTION METHOD; LANDSAT THEMATIC MAPPER; LANDSLIDE; NDVI; RAPIDEYE; REMOTE SENSING; RISK ASSESSMENT; SATELLITE SENSOR; SPATIOTEMPORAL ANALYSIS; SPOT; TIME SERIES ANALYSIS; VEGETATION COVER;

KYRGYZSTAN; TIEN SHAN;

EID: 84982279521     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.07.017     Document Type: Article

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