Mapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data
نویسندگان
چکیده
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 has been implemented a prototype processor European Space Agency's (ESA's) 7th Earth Explorer Mission BIOMASS, scheduled launch 2023. employs an interferometric ground cancellation technique to estimate canopy (CB) intensity. A power law model (PLM) is then used dependence of CB on AGB large number systematically distributed SAR data samples small calibration areas with known AGB. PLM parameters are estimated simultaneously within pre-defined intervals nonlinear minimisation cost function. performance assessed over six forest sites two continents: French Guiana, South America four Gabon, Africa, acquired during airborne ESA campaigns processed simulate BIOMASS acquisitions. Multiple tests only randomly selected > 100 t/ha conducted assess given limited reference At 2.25 ha scale single flight heading, root-mean-square difference (RMSD) ≤ 27% at least 50% all each test site as maps derived from laser scanning An improvement observed when headings combination. most consistent (lowest RMSD variation across different sets) interval average around 200–250 t/ha. challenging conditions < 200 topographic variations. comparison 142 1 plots situ measurements gives 20% (66 t/ha).
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ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 2021
ISSN: ['0034-4257', '1879-0704']
DOI: https://doi.org/10.1016/j.rse.2020.112153