Response Mechanism of Leaf Area Index and Main Nutrient Content in Mangrove Supported by Hyperspectral Data

Author:

Chen Xiaohua1,Yang Yuechao2,Zhang Donghui3ORCID,Li Xusheng2ORCID,Gao Yu4,Zhang Lifu3ORCID,Wang Daming5,Wang Jianhua3,Wang Jin3,Huang Jin6

Affiliation:

1. Hainan Academy of Forestry (Hainan Academy of Mangrove), Haikou 570100, China

2. National Key Laboratory of Remote Sensing Information and Imagery Analyzing Technology, Beijing Research Institute of Uranium Geology, Beijing 100029, China

3. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

4. Tianjin Key Laboratory of Hyperspectral Technology, Tianjin Progoo Information Technology Co., Ltd., Tianjin 300392, China

5. Tianjin Centre of Geological Survey, China Geological Survey, Tianjin 300170, China

6. School of Geographical Sciences, China West Normal University, Nanchong 637009, China

Abstract

Mangrove is the key vegetation in the transitional zone between land and sea, and its health assessment can indicate the deep-level ecological information. The LAI and six key nutrients of mangrove were selected as quantitative evaluation indicators, and the decisive evaluation method of mangrove growth was expected. The mangrove reserve of Dongzhai Port National Nature Reserve in Hainan Province, China, was selected as the study area, with an area of 17.71 km2. The study area was divided into adjacent urban areas, aquaculture areas, and agricultural production areas, and key indicators are extracted from satellite hyperspectral data. The extraction process includes spectral data preprocessing, spectral transformation, spectral combination, spectral modeling, and precision inspection. The spatial distribution of LAI and six key nutrient components of mangrove in the study area were obtained. LAI and Chla need to calculate the index after high-order differentiation of the spectrum; MSTR and Chlb need to calculate the envelope after the second-order differential of the spectrum; TN and TP are directly changed by original or exponential spectrum; the spectral transformation method adopted by TK was homogenization after first-order differential. The results of the strength of nutrient content along the three regions show that there was no significant difference in the retrieval index of mangroves in the three regions, and the overall health level of mangroves was consistent. Chla was the key identification component of mangrove growth and health. The contents of nutrient elements with correlation coefficient exceeding 0.80 include MSTR and TK (0.98), Chla and TP (0.96), Chla and TK (0.87), MSTR and Chla (0.86), MSTR and TK (0.83), and MSTR and TP (0.81). The study quantifies the relationship between different LAI and nutrient content of mangrove leaves from the perspectives of water, leaf biology, and chemical elements, which improved our understanding of the relationship between key components during mangrove growth for the first time.

Funder

Special technical innovation project of provincial scientific research institutes

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

MDPI AG

Subject

Forestry

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