Retrieving chlorophyll content and equivalent water thickness of Moso bamboo (Phyllostachys pubescens) forests under Pantana phyllostachysae Chao-induced stress from Sentinel-2A/B images in a multiple LUTs-based PROSAIL framework

Zhanghua Xu; Anqi He; Yiwei Zhang; Zhenbang Hao; Yifan Li; Songyang Xiang; Bin Li; Lingyan Chen; Hui Yu; Wanling Shen; Xuying Huang; Xiaoyu Guo; Zenglu Li

Forest Ecosystems (Jan 2023)

Retrieving chlorophyll content and equivalent water thickness of Moso bamboo (Phyllostachys pubescens) forests under Pantana phyllostachysae Chao-induced stress from Sentinel-2A/B images in a multiple LUTs-based PROSAIL framework

Zhanghua Xu,
Anqi He,
Yiwei Zhang,
Zhenbang Hao,
Yifan Li,
Songyang Xiang,
Bin Li,
Lingyan Chen,
Hui Yu,
Wanling Shen,
Xuying Huang,
Xiaoyu Guo,
Zenglu Li

Affiliations

Zhanghua Xu: College of Environment and Safety Engineering, Academy of Geography and Ecological Environment, Fuzhou University, Fuzhou, 350108, China; Fujian Provincial Key Laboratory of Resources and Environment Monitoring & Sustainable Management and Utilization, Sanming, 365004, China; Key Laboratory of Spatial Data Mining & Information Sharing, Ministry of Education, The Academy of Digital China, Fuzhou University, Fuzhou, 350108, China; Corresponding author. College of Environment and Safety Engineering, Academy of Geography and Ecological Environment, Fuzhou University, Fuzhou, 350108, China.
Anqi He: College of Environment and Safety Engineering, Academy of Geography and Ecological Environment, Fuzhou University, Fuzhou, 350108, China
Yiwei Zhang: College of Environment and Safety Engineering, Academy of Geography and Ecological Environment, Fuzhou University, Fuzhou, 350108, China
Zhenbang Hao: Fujian Provincial Key Laboratory of Resources and Environment Monitoring & Sustainable Management and Utilization, Sanming, 365004, China; College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
Yifan Li: College of Environment and Safety Engineering, Academy of Geography and Ecological Environment, Fuzhou University, Fuzhou, 350108, China
Songyang Xiang: Key Laboratory of Spatial Data Mining & Information Sharing, Ministry of Education, The Academy of Digital China, Fuzhou University, Fuzhou, 350108, China
Bin Li: College of Environment and Safety Engineering, Academy of Geography and Ecological Environment, Fuzhou University, Fuzhou, 350108, China
Lingyan Chen: Key Laboratory of Spatial Data Mining & Information Sharing, Ministry of Education, The Academy of Digital China, Fuzhou University, Fuzhou, 350108, China
Hui Yu: Key Laboratory of Spatial Data Mining & Information Sharing, Ministry of Education, The Academy of Digital China, Fuzhou University, Fuzhou, 350108, China
Wanling Shen: College of Environment and Safety Engineering, Academy of Geography and Ecological Environment, Fuzhou University, Fuzhou, 350108, China
Xuying Huang: College of Environment and Safety Engineering, Academy of Geography and Ecological Environment, Fuzhou University, Fuzhou, 350108, China; International Institute for Earth System Science, Nanjing University, Nanjing, 210023, China
Xiaoyu Guo: Fujian Provincial Key Laboratory of Resources and Environment Monitoring & Sustainable Management and Utilization, Sanming, 365004, China
Zenglu Li: Fujian Provincial Key Laboratory of Resources and Environment Monitoring & Sustainable Management and Utilization, Sanming, 365004, China

Journal volume & issue: Vol. 10
p. 100108

Abstract

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Biochemical components of Moso bamboo (Phyllostachys pubescens) are critical to physiological and ecological processes and play an important role in the material and energy cycles of the ecosystem. The coupled PROSPECT with SAIL (PROSAIL) radiative transfer model is widely used for vegetation biochemical component content inversion. However, the presence of leaf-eating pests, such as Pantana phyllostachysae Chao (PPC), weakens the performance of the model for estimating biochemical components of Moso bamboo and thus must be considered. Therefore, this study considered pest-induced stress signals associated with Sentinel-2A/B images and field data and established multiple sets of biochemical canopy reflectance look-up tables (LUTs) based on the PROSAIL framework by setting different parameter ranges according to infestation levels. Quantitative inversions of leaf area index (LAI), leaf chlorophyll content (LCC), and leaf equivalent water thickness (LEWT) were derived. The scale conversions from LCC to canopy chlorophyll content (CCC) and LEWT to canopy equivalent water thickness (CEWT) were calculated. The results showed that LAI, CCC, and CEWT were inversely related with PPC-induced stress. When applying multiple LUTs, the p-values were <0.01; the R2 values for LAI, CCC, and CEWT were 0.71, 0.68, and 0.65 with root mean square error (RMSE) (normalized RMSE, NRMSE) values of 0.38 (0.16), 17.56 μg·cm‒2 (0.20), and 0.02 cm (0.51), respectively. Compared to the values obtained for the traditional PROSAIL model, for October, R2 values increased by 0.05 and 0.10 and NRMSE decreased by 0.09 and 0.02 for CCC and CEWT, respectively and RMSE decreased by 0.35 μg·cm‒2 for CCC. The feasibility of the inverse strategy for integrating pest-induced stress factors into the PROSAIL model, while establishing multiple LUTs under different pest-induced damage levels, was successfully demonstrated and can potentially enhance future vegetation parameter inversion and monitoring of bamboo forest health and ecosystems.

Published in Forest Ecosystems

ISSN: 2095-6355 (Print); 2197-5620 (Online)
Publisher: KeAi Communications Co., Ltd.
Country of publisher: China
LCC subjects: Science: Biology (General): Ecology
Website: https://www.keaipublishing.com/en/journals/forest-ecosystems/

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