Analyzing the performance of PROSPECT model inversion based on different spectral information for leaf biochemical properties retrieval

作者：Sun, Jia; Shi, Shuo^*; Yang, Jian^*; Du, Lin; Gong, Wei; Chen, Biwu; Song, Shalei

来源：ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 135: 74-83.

DOI：10.1016/j.isprsjprs.2017.11.010

• Leaf optical properties
• PROSPECT
• Hyperspectral data
• Biochemistry

Leaf biochemical constituents provide useful information about major ecological processes. As a fast and nondestructive method, remote sensing techniques are critical to reflect leaf biochemistry via models. PROSPECT model has been widely applied in retrieving leaf traits by providing hemispherical reflectance and transmittance. However, the process of measuring both reflectance and transmittance can be time-consuming and laborious. Contrary to use reflectance spectrum alone in PROSPECT model inversion, which has been adopted by many researchers, this study proposes to use transmission spectrum alone, with the increasing availability of the latter through various remote sensing techniques. Then we analyzed the performance of PROSPECT model inversion with (1) only transmission spectrum, (2) only reflectance and (3) both reflectance and transmittance, using synthetic datasets (with varying levels of random noise and systematic noise) and two experimental datasets (LOPEX and ANGERS). The results show that (1) PROSPECT-5 model inversion based solely on transmission spectrum is viable with results generally better than that based solely on reflectance spectrum; (2) leaf dry matter can be better estimated using only transmittance or reflectance than with both reflectance and transmittance spectra.

• 出版日期2018-1
• 单位武汉大学; 测绘遥感信息工程国家重点实验室; 中国科学院武汉物理与数学研究所; 中国地质大学（北京）