Enhancing Forest-Steppe Ecotone Mapping Accuracy through Synthetic Aperture Radar-Optical Remote Sensing Data Fusion and Object-based Analysis
文献类型：期刊论文
| 作者 | Wang, Ruilin3; Wang, Meng3; Sun, Xiaofang3; Wang, Junbang2; Li, Guicai1 |
| 刊名 | PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
 |
| 出版日期 | 2024-07-01 |
| 卷号 | 90期号:7页码:72 |
| ISSN号 | 0099-1112 |
| DOI | 10.14358/PERS.23-00070R2 |
| 英文摘要 | 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. |
| WOS关键词 | LAND-COVER CLASSIFICATION ; BRAZILIAN AMAZON ; URBAN AREAS ; SENTINEL-2 ; ALGORITHM ; SOFTWARE ; INDEX ; SAR |
| WOS研究方向 | Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001249386000001 |
| 出版者 | AMER SOC PHOTOGRAMMETRY |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/207746]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | Wang, Meng |
| 作者单位 | 1.Chinese Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 3.Qufu Normal Univ, Coll Geog & Tourism, Jining, Shandong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Ruilin,Wang, Meng,Sun, Xiaofang,et al. Enhancing Forest-Steppe Ecotone Mapping Accuracy through Synthetic Aperture Radar-Optical Remote Sensing Data Fusion and Object-based Analysis[J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING,2024,90(7):72. |
| APA | Wang, Ruilin,Wang, Meng,Sun, Xiaofang,Wang, Junbang,&Li, Guicai.(2024).Enhancing Forest-Steppe Ecotone Mapping Accuracy through Synthetic Aperture Radar-Optical Remote Sensing Data Fusion and Object-based Analysis.PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING,90(7),72. |
| MLA | Wang, Ruilin,et al."Enhancing Forest-Steppe Ecotone Mapping Accuracy through Synthetic Aperture Radar-Optical Remote Sensing Data Fusion and Object-based Analysis".PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING 90.7(2024):72. |
入库方式： OAI收割
来源：地理科学与资源研究所
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