Normalized Difference Red-NIR-SWIR: A new Sentinel-2 three-band spectral index for mapping freshly-opened swiddens in the tropics
文献类型：期刊论文
| 作者 | Li, Peng3; Li, Wenyu4; Shi, Dong4; Nath, Arun Jyoti2 |
| 刊名 | ECOLOGICAL INFORMATICS
 |
| 出版日期 | 2024-09-01 |
| 卷号 | 82页码:102775 |
| 关键词 | Swidden agriculture Remote sensing Normalized difference red-NIR-SWIR The VNIR-SWIR spectroscopy Sentinel-2 Laos |
| DOI | 10.1016/j.ecoinf.2024.102775 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Swidden agriculture is undergoing a rapid but overlooked transition and transformation in the tropics, complicating global carbon budgeting and sustainable livelihood assessment of swiddeners. Remotely sensed algorithms for accurately detecting swiddening practices have been slowly developed to generate annual updates on their dynamics. This is primarily because, using medium spatial resolution imagery (>= 30 m), it is challenging to identify the exact boundary of swidden patches. Spectral-based approaches have by far dominated the detection and mapping of swidden agriculture, but the potential of Sentinel-2 has not been examined. To reconstruct annual information of swidden agriculture, a new Sentinel-2 three-band spectral index, i.e., the Normalized Difference Red, Near-infrared (NIR), and Shortwave-infrared (SWIR), or NDRII, has been developed to map freshly-opened swiddens in tropical regions. As Red (visible), NIR, and SWIR spectral band combinations (i.e., the VNIR-SWIR spectroscopy) are sensitive to vegetation-moisture variations and thermal anomalies caused by slash and burn in tropical uplands during the dry season, NDRII delineates exact patches of freshly opened swiddens. The latest 20-m map facilitates probing into the landscape patterns of newly opened swiddens and underlines their prevalence in Laos for the first time. Established within the VNIR-SWIR spectroscopy of Sentinel2 and Landsat-8 Operational Land Imager, the NDRII algorithm contributes to reconstructing historical datasets of tropical swiddens via integrating state-of-the-art approaches that use temporally stacked observations with available VNIR/SWIR satellite imagery and further understanding the dynamics of landscape pattern and disturbance due to rapid transition and transformation. |
| WOS关键词 | SLASH-AND-BURN ; LAND-USE HISTORY ; WATER INDEX ; AGRICULTURE ; VEGETATION ; REFLECTANCE ; AREA ; NDWI ; CULTIVATION ; EXPANSION |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS记录号 | WOS:001300613800001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/207922]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 通讯作者 | Li, Peng |
| 作者单位 | 1.Assam Univ, Dept Ecol & Environm Sci, Silchar 788011, India 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Yangtze Univ, Sch Geosci, Wuhan 430100, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Peng,Li, Wenyu,Shi, Dong,et al. Normalized Difference Red-NIR-SWIR: A new Sentinel-2 three-band spectral index for mapping freshly-opened swiddens in the tropics[J]. ECOLOGICAL INFORMATICS,2024,82:102775. |
| APA | Li, Peng,Li, Wenyu,Shi, Dong,&Nath, Arun Jyoti.(2024).Normalized Difference Red-NIR-SWIR: A new Sentinel-2 three-band spectral index for mapping freshly-opened swiddens in the tropics.ECOLOGICAL INFORMATICS,82,102775. |
| MLA | Li, Peng,et al."Normalized Difference Red-NIR-SWIR: A new Sentinel-2 three-band spectral index for mapping freshly-opened swiddens in the tropics".ECOLOGICAL INFORMATICS 82(2024):102775. |
入库方式： OAI收割
来源：地理科学与资源研究所
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