论文
论文题目: Enhancing Forest-Steppe Ecotone Mapping Accuracy through Synthetic Aperture Radar-Optical Remote Sensing Data Fusion and Object-based Analysis
第一作者: Wang Ruilin, Wang Meng, Sun Xiaofang, Wang Junbang etc.
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发表年度: 2024
摘  要: In ecologically vulnerable regions with intricate land use dynamics, such as ecotones, frequent and intense land use transitions unfold. Therefore, the precise and timely mapping of land use becomes imperative. With that goal, by using principal component analysis, we integrated Sentinel -1 and Sentinel -2 data, using an object -oriented methodology to craft a 10 -meter -resolution land use map for the forest-grassland ecological zone of the Greater Khingan Mountains spanning the years 2019 to 2021. Our research reveals a substantial enhancement in classification accuracy achieved through the integra - tion of synthetic aperture radar-optical remote sensing data. Notably, our products outperformed other land use/land cover data sets, excelling particularly in delineating intricate riverine wetlands. The 10 -meter land use product stands as a pivotal guide, offering indis - pensable support for sustainable development, ecological assessment, and conservation endeavors in the Greater Khingan Mountains region.
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刊物名称: PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
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论文类别: SCI