A multi-sensor approach towards a global vegetation corrected SRTM DEM product

Remote Sensing of Environment

Volumn 182, Issue , 2016, Pages 49-59

  O'Loughlin, F E ^a   Paiva, R C D ^b   Durand, M ^c   Alsdorf, D E ^c   Bates, P D ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^c OHIO STATE UNIVERSITY   (United States)

Author keywords

Bare Earth; DEM; Digital Elevation Model; ICESat; SRTM; Vegetation correction

Indexed keywords

ANEROID ALTIMETERS; DIGITAL INSTRUMENTS; GEOMORPHOLOGY; MEAN SQUARE ERROR; NASA; REMOTE SENSING; TRACKING RADAR; TREES (MATHEMATICS); VEGETATION;

DIGITAL ELEVATION MODEL; GLOBAL APPLICATIONS; ICESAT; MULTIPLE METHODS; ROOT MEAN SQUARE ERRORS; SHUTTLE RADAR TOPOGRAPHY MISSION; SRTM; VEGETATION HEIGHT;

SURVEYING;

ALTIMETER; DIGITAL ELEVATION MODEL; FLOOD; GLOBAL PERSPECTIVE; ICESAT; MODIS; REGIONALIZATION; REMOTE SENSING; SENSOR; VEGETATION COVER;

EID: 84968719025     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.04.018     Document Type: Article

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