Spatial wavelet statistics of SAR backscatter for characterizing degraded forest: A case study from Cameroon

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 8, Issue 7, 2015, Pages 3572-3584

  De Grandi, Elsa C ^a   Mitchard, Edward ^a   Woodhouse, Iain H ^a   De Grandi, Gianfranco D ^b,c  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b JOINT RESEARCH CENTRE   (Italy)

^c ABERYSTWYTH UNIVERSITY   (United Kingdom)

Author keywords

Degraded forest (DF); spatial statistics; synthetic aperture radar (SAR); texture; wavelet transform

Indexed keywords

BACKSCATTERING; FORESTRY; RADAR; STATISTICS; TEXTURES; WAVELET TRANSFORMS;

DEGRADED FORESTS; ENVIRONMENTAL STUDIES; FOREST DISTURBANCES; FOREST SPATIAL STRUCTURE; SPATIAL STATISTICS; STATISTICALLY SIGNIFICANT DIFFERENCE; THIRD DEGREE POLYNOMIAL; TWO POINT STATISTICS;

SYNTHETIC APERTURE RADAR;

ALOS; BACKSCATTER; DECIDUOUS FOREST; ENVISAT; FOREST COVER; FOREST DYNAMICS; PALSAR; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL RESOLUTION; SYNTHETIC APERTURE RADAR; WAVELET ANALYSIS;

DEGRADATION; FORESTS; QUANTITATIVE ANALYSIS; REMOTE SENSING; STATISTICS;

CAMEROON;

EID: 85027918390     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2420596     Document Type: Article

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