In the study,the Sentinel-2 MSI satellite data for year 2021 and 2022 were used to retrieve five vegetation biophysical indicators:FAPAR(Fraction of Absorbed Photosynthetically Active Radiation),FVC(Fraction of Vegetation Cover),LAI(Leaf Area Index),CCC(Canopy Chlorophyll Content),and CWC(Canopy Water Content)in the ecological security buffer zone of Xiaoxia Bay in Suzhou.The five vegetation biophysical indicators were retrieved from Biophysical Processor module provided by SNAP based on the combination of vegetation canopy radiative transfer model and machine learning.The results showed that after the completion and operation of the ecological safety buffer zone since 2021,the vegetation canopy structure,cover,biomass,and ecological environment have been improved.The vegetation biophysical indicators can reflect the ecological conservation effectiveness of the ecological safety buffer zone from a certain perspective.The methodology of this study can quickly and efficiently invert vegetation biophysical parameters on a large scale and provide useful reference for dynamic monitoring and assessment of ecological function of ecological safety buffer zone using remote sensing.
关键词
生态安全缓冲区/Sentinel-2/植被生物物理量/遥感反演/苏州消夏湾
Key words
Ecological safety buffer zone/Sentinel-2/Vegetation biophysical indicator/Remote sensing retrieval/Suzhou Xiaoxia Bay
维普
万方数据