Estimates of forest growing stock volume for sweden, central siberia, and québec using envisat advanced synthetic aperture radar backscatter data

Remote Sensing

Volumn 5, Issue 9, 2013, Pages 4503-4532

  Santoro, Maurizio ^a   Cartus, Oliver ^b   Fransson, Johan E S ^c   Shvidenko, Anatoly ^d   McCallum, Ian ^d   Hall, Ronald J ^e   Beaudoin, André ^f   Beer, Christian ^g   Schmullius, Christiane ^h  

^a GAMMA REMOTE SENSING   (Switzerland)

^b WOODS HOLE RESEARCH CENTER   (United States)

^c SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^d INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS   (Austria)

^e NORTHERN FORESTRY CENTRE   (Canada)

^f LAURENTIAN FORESTRY CENTRE   (Canada)

^g STOCKHOLM UNIVERSITY   (Sweden)

^h FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

Author keywords

BIOMASAR algorithm; Boreal forest; Envisat ASAR; Growing stock volume; Qu bec; SAR backscatter; Siberia; Sweden

Indexed keywords

BOREAL FORESTS; ENVISAT ASAR; GROWING STOCKS; SAR BACKSCATTER; SIBERIA; SWEDEN;

ALGORITHMS; BACKSCATTERING; ESTIMATION; SYNTHETIC APERTURE RADAR; UNCERTAINTY ANALYSIS;

FORESTRY;

ALGORITHMS; ESTIMATION; FORESTRY; RADAR; SIBERIA; SWEDEN;

EID: 84884676581     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs5094503     Document Type: Article

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