WANG Mingchang, YING Shen, REN Fu, CHEN Shengbo, ZHANG Xuqing, WANG Fengyan, NIU Xuefeng. Inversion Model for the Copper Element in Birch Leaves Based on Robust Estimation[J]. Geomatics and Information Science of Wuhan University, 2017, 42(5): 637-642. DOI: 10.13203/j.whugis20140721
Citation: WANG Mingchang, YING Shen, REN Fu, CHEN Shengbo, ZHANG Xuqing, WANG Fengyan, NIU Xuefeng. Inversion Model for the Copper Element in Birch Leaves Based on Robust Estimation[J]. Geomatics and Information Science of Wuhan University, 2017, 42(5): 637-642. DOI: 10.13203/j.whugis20140721

Inversion Model for the Copper Element in Birch Leaves Based on Robust Estimation

  • Based on the leaf radiative transfer model PROSPECT, the leaf structure parameters N and the absorption coefficient of copper kCu of copper element were estimated by use of the first order norm robust estimation. We chose the DuoBaoShan and Huma region of HeiLongJiang province as the study area, where the reflective spectra of birch leaves were determined using ASD FieldSpec 3 Hi-Res, and the component copper contents were measured in the laboratory. Then, the copper contents of Birch leaves were stimulated using the improved PROSPECT-Cumodel.The determination coefficient was 0.963 obtained by analyzing the simulated copper component and the measured component contents of Birch leaves. The study showed the stimulated results for copper component contents were accurate and the inversion method was feasible. The reflectance of leaves stressed by heavy mental were analysed with the PROSPECT Model, showing that errors had expanded, so the model was further developed, an advanced version-PROSPECT-Cu, inverts the copper content inside the leaf with the robust estimation method.
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