Identification of dominant species of submerged vegetation based on Sentinel-2 red-edge band: A case study of Lake Erhai, China

作者：Xiaohan Wang, Yu Zhang, Yan‐hong Yu, Yunmei Li, Heng Lyu, Junda Li, Xiaolan Cai, Xianzhang Dong, Gaolun Wang, Jianzhong Li, Mengmeng Song, Lanlan Chen · 发表于：Ecological Indicators · 年份：2025 · DOI：10.1016/j.ecolind.2025.113168 · 被引用次数：8 · 研究领域：Remote Sensing in Agriculture、Species Distribution and Climate Change、Remote Sensing and Land Use

• Indices (SVSR and CI edge ) were developed to enhance spectral differences for identifying submerged vegetation in Erhai Lake. • A decision tree model was created to identify dominant submerged vegetation species in Erhai Lake. • Long-term monitoring of submerged vegetation in Erhai Lake has been conducted. • The impact of various water quality parameters on aquatic vegetation was analyzed. Aquatic vegetation plays a crucial role as a primary producer and ecological regulator, serving as an indispensable purifier in inland lakes. However, weakened optical information caused by water absorption and reflection presents challenges in remote sensing identification and classification of submerged vegetation (SAV). In this study, Sentinel-2 satellite data was employed to examine and compare the spectral attributes of three preeminent species, Potamogeton maackianus , Vallisneria natans , and Ceratophyllum demersum , within the confines of the Lake Erhai study area. Using the disparities in the red-edge band, red-edge chlorophyll index (CI edge ), and red-edge normalized vegetation index (NDVI edge ), a carefully designed decision tree model was instituted for remote sensing-driven identification of SAV. The ensuing species identification exhibited a commendable overall accuracy rate of 96.8%, underscored by a Kappa coefficient of 0.95. Geospatial distribution revealed the prevalence of P. maackianus in the northern lake bay, counterbalanced by the dominance of V. natans in the so...