L- and P-band backscatter intensity for biomass retrieval in hemiboreal forest

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Fältnamn	Indikatorer	Metadata
000		04431naa a2200541 4500
001		oai:research.chalmers.se:77419926-97ea-46e0-b338-3894351650e5
003		SwePub
008		171007s2011 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
009		oai:slubar.slu.se:57802
024	7	a https://doi.org/10.1016/j.rse.2010.03.0182 DOI
024	7	a https://research.chalmers.se/publication/1475232 URI
024	7	a https://res.slu.se/id/publ/578022 URI
040		a (SwePub)cthd (SwePub)slu
041		a engb eng
042		9 SwePub
072	7	a art2 swepub-publicationtype
072	7	a ref2 swepub-contenttype
100	1	a Sandberg, Gustaf,d 1982u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)jansgust
245	1 0	a L- and P-band backscatter intensity for biomass retrieval in hemiboreal forest
264	1	b Elsevier BV,c 2011
520		a At present, the greatest source of uncertainty in the global carbon cycle is in the terrestrial ecosystems. In orderto reduce these uncertainties it is necessary to provide consistent and accurate global estimates of the worldforest biomass. One of the most promising methods for obtaining such estimates is through polarimetric SARbackscatter measurements at low frequencies. In this paper, the relation between polarimetric SAR backscatterat L- and P-bands and forest biomass is investigated using data acquired within the BioSAR-I campaign insouthern Sweden during 2007. Methods for estimating biomass on stand level using these data are developedand evaluated, and the results for the two frequency bands are compared. For L-band data, the best results wereobtained using HV-polarized backscatter only, giving estimation errors in terms of root mean square errors(RMSE) between 31% and 46% of the mean biomass for stands with biomass ranging from 10 to 290 t/ha, and an(adjusted) coefficient of determination (R2) between 0.4 and 0.6. For P-band data, the results are better thanfor L-band. Models using HV- or HH-polarized P-band backscatter give similar results, as does a modelincluding both HV and HH. The RMSEs were between 18 and 27%, and the R2 values were between 0.7 and 0.8.
650	7	a LANTBRUKSVETENSKAPERx Lantbruksvetenskap, skogsbruk och fiskex Jordbruksvetenskap0 (SwePub)401012 hsv//swe
650	7	a AGRICULTURAL SCIENCESx Agriculture, Forestry and Fisheriesx Agricultural Science0 (SwePub)401012 hsv//eng
650	7	a LANTBRUKSVETENSKAPERx Lantbruksvetenskap, skogsbruk och fiskex Skogsvetenskap0 (SwePub)401042 hsv//swe
650	7	a AGRICULTURAL SCIENCESx Agriculture, Forestry and Fisheriesx Forest Science0 (SwePub)401042 hsv//eng
650	7	a TEKNIK OCH TEKNOLOGIERx Naturresursteknikx Fjärranalysteknik0 (SwePub)207032 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Environmental Engineeringx Remote Sensing0 (SwePub)207032 hsv//eng
650	7	a LANTBRUKSVETENSKAPERx Annan lantbruksvetenskapx Miljö- och naturvårdsvetenskap0 (SwePub)405042 hsv//swe
650	7	a AGRICULTURAL SCIENCESx Other Agricultural Sciencesx Environmental Sciences related to Agriculture and Land-use0 (SwePub)405042 hsv//eng
653		a L-band
653		a SAR
653		a Linear regression
653		a Polarimetry
653		a P-band
653		a Biomass estimation
653		a Model selection
653		a Forestry
700	1	a Ulander, Lars,d 1962u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)larula
700	1	a Fransson, Johan E.S.u Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skoglig resurshushållning,Department of Forest Resource Management4 aut0 (Swepub:slu)49086
700	1	a Holmgren, Johanu Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skoglig resurshushållning,Department of Forest Resource Management4 aut0 (Swepub:slu)51020
700	1	a Le Toan, T.4 aut
710	2	a Chalmers tekniska högskolab Institutionen för skoglig resurshushållning4 org
710	2	a Sveriges lantbruksuniversitet
773	0	t Remote Sensing of Environmentd : Elsevier BVg 115:11, s. 2874 - 2886q 115:11<2874 - 2886x 0034-4257x 1879-0704
856	4	u http://dx.doi.org/10.1016/j.rse.2010.03.018y FULLTEXT
856	4 8	u https://doi.org/10.1016/j.rse.2010.03.018
856	4 8	u https://research.chalmers.se/publication/147523
856	4 8	u https://res.slu.se/id/publ/57802

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