气候变化领域集成服务门户(CCPortal): Performance of GNSS-R GLORI data for biomass estimation over the Landes forest

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DOI	10.1016/j.jag.2018.09.010
	Performance of GNSS-R GLORI data for biomass estimation over the Landes forest
	Zribi M.; Guyon D.; Motte E.; Dayau S.; Wigneron J.P.; Baghdadi N.; Pierdicca N.
发表日期	2019
ISSN	15698432
起始页码	150
结束页码	158
卷号	74
英文摘要	The Above-Ground Biomass (AGB) is a key parameter used for the modeling of the carbon cycle. The aim of this study is to make an experimental assessment of the sensitivity of Global Navigation Satellite System (GNSS) reflected signals to forest AGB. This is based on the analysis of the data recorded during several GLORI airborne campaigns in June and July 2015, over the Landes Forest (France). Ground truth measurements of tree height, density and diameter at breast height (DBH), as well as AGB, were carried out for 100 maritime pine forest plots of various ages. The GNSS-R data were used to obtain the right-left (Γ RL ) and right-right (Γ RR ) reflectivity observables, which are geo-referenced in accordance with the known positions of relevant GPS satellites and the airborne receiver. The correlations between forest AGB and the GNSS-R observables yield the highest sensitivity at high elevation angles (70°-90°). In this case, for (Γ RL ) and the reflectivity polarization ratio (PR = Γ RL /Γ RR ) estimated with a coherent integration time Tc = 20 ms, the coefficients of determination R 2 are equal to 0.67 and 0.51, with a sensitivity of −0.051 dB/[10 6 g (Mg) ha −1 ], and −0.053 dB/[Mg ha −1 ], respectively. The relationships between AGB and the observables are confirmed through the use of a 5-fold cross validation approach, with several different coherent integration times. © 2018 Elsevier B.V.
英文关键词	Above ground biomass; Forest; GNSS-R; Landes forest; Maritime pine
语种	英语
scopus关键词	aboveground biomass; carbon cycle; coniferous tree; correlation; estimation method; forest ecosystem; GNSS; GPS; France; Landes; Nouvelle-Aquitaine; Pinus pinaster
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156556
作者单位	CESBIO (CNRS/UPS/IRD/CNES), 18 av. Edouard Belin, bpi 2801, Toulouse Cedex 9, 31401, France; ISPA, INRA, Villenave d'Ornon, 33140, France; TETIS, IRSTEA, University of Montpellier, Montpellier, France; DIET, Sapienza University of Rome, Via Eudossiana 18, Rome, 00184, Italy
推荐引用方式 GB/T 7714	Zribi M.,Guyon D.,Motte E.,et al. Performance of GNSS-R GLORI data for biomass estimation over the Landes forest[J],2019,74.
APA	Zribi M..,Guyon D..,Motte E..,Dayau S..,Wigneron J.P..,...&Pierdicca N..(2019).Performance of GNSS-R GLORI data for biomass estimation over the Landes forest.International Journal of Applied Earth Observation and Geoinformation,74.
MLA	Zribi M.,et al."Performance of GNSS-R GLORI data for biomass estimation over the Landes forest".International Journal of Applied Earth Observation and Geoinformation 74(2019).