气候变化领域集成服务门户(CCPortal): Mapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data

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DOI	10.1016/j.rse.2020.112153
	Mapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data
	Soja M.J.; Quegan S.; d'Alessandro M.M.; Banda F.; Scipal K.; Tebaldini S.; Ulander L.M.H.
发表日期	2021
ISSN	00344257
卷号	253
英文摘要	This paper introduces the CASINO (CAnopy backscatter estimation, Subsampling, and Inhibited Nonlinear Optimisation) algorithm for above-ground biomass (AGB) estimation in tropical forests using P-band (435 MHz) synthetic aperture radar (SAR) data. The algorithm has been implemented in a prototype processor for European Space Agency's (ESA's) 7th Earth Explorer Mission BIOMASS, scheduled for launch in 2023. CASINO employs an interferometric ground cancellation technique to estimate canopy backscatter (CB) intensity. A power law model (PLM) is then used to model the dependence of CB on AGB for a large number of systematically distributed SAR data samples and a small number of calibration areas with a known AGB. The PLM parameters and AGB for the samples are estimated simultaneously within pre-defined intervals using nonlinear minimisation of a cost function. The performance of CASINO is assessed over six tropical forest sites on two continents: two in French Guiana, South America and four in Gabon, Africa, using SAR data acquired during airborne ESA campaigns and processed to simulate BIOMASS acquisitions. Multiple tests with only two randomly selected calibration areas with AGB > 100 t/ha are conducted to assess AGB estimation performance given limited reference data. At 2.25 ha scale and using a single flight heading, the root-mean-square difference (RMSD) is ≤ 27% for at least 50% of all tests in each test site and using as reference AGB maps derived from airborne laser scanning data. An improvement is observed when two flight headings are used in combination. The most consistent AGB estimation (lowest RMSD variation across different calibration sets) is observed for test sites with a large AGB interval and average AGB around 200–250 t/ha. The most challenging conditions are in areas with AGB < 200 t/ha and large topographic variations. A comparison with 142 1 ha plots distributed across all six test sites and with AGB estimated from in situ measurements gives an RMSD of 20% (66 t/ha). © 2020 The Authors
英文关键词	7th Earth Explorer; Above-ground biomass (AGB); ESA BIOMASS; Estimation; Ground cancellation; P-band synthetic aperture radar (SAR); Tropical forests
语种	英语
scopus关键词	Backscattering; Biomass; Calibration; Cost functions; Nonlinear programming; Synthetic aperture radar; Testing; Tropics; Above ground biomass; Airborne Laser scanning; Cancellation techniques; Earth Explorer Mission; Estimation performance; European Space Agency; Non-linear optimisation; Root mean square differences; Forestry
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179047
作者单位	MJ Soja Consulting, Hobart, Tasmania, Australia; University of Tasmania, Hobart, Tasmania, Australia; University of Sheffield, Sheffield, United Kingdom; Politecnico di Milano, Milan, Italy; Aresys, Milan, Italy; European Space Agency, ESTEC, Noordwijk, Netherlands; Chalmers University of Technology, Gothenburg, Sweden
推荐引用方式 GB/T 7714	Soja M.J.,Quegan S.,d'Alessandro M.M.,et al. Mapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data[J],2021,253.
APA	Soja M.J..,Quegan S..,d'Alessandro M.M..,Banda F..,Scipal K..,...&Ulander L.M.H..(2021).Mapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data.Remote Sensing of Environment,253.
MLA	Soja M.J.,et al."Mapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data".Remote Sensing of Environment 253(2021).