Biomass Estimation Over Tropical Rainforests Using GNSS-R On-Board The CyGNSS Microsatellites Constellation
Biomass Estimation Over Tropical Rainforests Using GNSS-R On-Board The CyGNSS Microsatellites Constellation
复制标题
使用 CyGNSS 微型卫星星座机载 GNSS-R 估算热带雨林的生物量
DOI:
10.1109/igarss.2019.8900213
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
M. Crosetto
中科院分区:
文献类型:
--
作者:
H. Carreno;G. Luzi;M. Crosetto
A performance assessment of the Cyclone Global Navigation Satellite System (CyGNSS) mission for biomass studies is presented in this paper over Congo and Amazon tropical rainforests. The functional correlation between CyGNSS-derived trailing edge TE and Avitabile et. al. Above Ground Biomass (AGB) pan-tropical data is evaluated using ICESat/GLAS-derived Canopy Height (CH), SMAP-derived Vegetation Optical Depth (VOD) and Polarization Index (PI). The main objective is to investigate the sensitivity of CyGNSS to biomass over dense forest canopies. The potential advantage of CyGNSS as compared to classical monostatic radar missions could rely on the increasing signal attenuation by the upwelling vegetation cover that reduces the coherent scattering component σcoh,0. This term can only be collected in a bistatic radar geometry. Ignoring measurement noise, preliminary results show that the use of TE allows to estimate AGB up to ~ 400 ton/ha and ~ 250 ton/ha over Congo and Amazon rainforests at low elevation angles θe~ [20, 40] °. The analysis using the SMAP-derived microwave vegetation parameters shows that: a) VOD performs well even over rainforests, and b) PI could depend on the CH levels.