Retrieval and scale effect analysis of LAI over typical farmland from UAV-based hyperspectral data

Xiaohua Zhu; Chuanrong Li; Lingli Tang; Lingling Ma

doi:10.1117/12.2535478

21 October 2019 Retrieval and scale effect analysis of LAI over typical farmland from UAV-based hyperspectral data

Xiaohua Zhu, Chuanrong Li, Lingli Tang, Lingling Ma

Proceedings Volume 11149, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI; 111490K (2019) https://doi.org/10.1117/12.2535478
Event: SPIE Remote Sensing, 2019, Strasbourg, France

Abstract

In this article, a multiple dimensional Look-Up-Table (LUT) is generated based on the PROSAIL model for multiple crops LAI estimation from unmanned aerial vehicle hyperspectral data. Based on Taylor expansion method (TEM) and computational geometry model (CGM), a scale transfer model considering both difference between inter-class and intraclass is constructed for scale effect analysis of LAI inversion over inhomogeneous surface. The results indicate that, 1) the LUT method based on classification and parameter sensitive analysis is useful for LAI retrieval of corn, potato, sunflower and melon on Baotou test site, with correlation coefficient R² of 0.85 and root mean square error RMSE of 0.41m²/m². 2) The scale effect of LAI is becoming obvious with the decrease of resolution, and scale difference between inter-classes is higher than that of intra-class, which can be corrected efficiently by the scale transfer model established based Taylor expansion and Computational geometry. 3) Further research could focus on multiple scale remote sensing products validation based on the scale transfer model mentioned above.

Conference Presentation

Citation Download Citation

Xiaohua Zhu, Chuanrong Li, Lingli Tang, and Lingling Ma "Retrieval and scale effect analysis of LAI over typical farmland from UAV-based hyperspectral data", Proc. SPIE 11149, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI, 111490K (21 October 2019); https://doi.org/10.1117/12.2535478

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