High-Resolution Remote Sensing and People-to-Pixel Integration for Mapping Farmland Abandonment in Central Himalayan Villages
文献类型：期刊论文
| 作者 | Paudel, Basanta1,3,4; Zhang, Yili1,2,4; Zhang, Binghua4; Gu, Changjun4; Liu, Linshan4; Khanal, Narendra Raj4 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2025-11-15 |
| 卷号 | 17期号:22页码:3726 |
| 关键词 | farmland abandonment mapping people-to-pixel vegetation succession Nepal Himalaya |
| DOI | 10.3390/rs17223726 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Highlights What are the main findings? Study found 19.2% of farmland in the Mountain region has been abandoned. The dominant (49.2%) areas of abandoned farmland are covered by bushes and shrubs, and the overall mapping accuracy of abandoned farmland was found 95.8%. What are the implications of the main findings? Findings provide crucial insights for sustainable land management and ecological restoration. People-to-pixel approach is found very useful for mapping farmland abandonment at the village scale.Highlights What are the main findings? Study found 19.2% of farmland in the Mountain region has been abandoned. The dominant (49.2%) areas of abandoned farmland are covered by bushes and shrubs, and the overall mapping accuracy of abandoned farmland was found 95.8%. What are the implications of the main findings? Findings provide crucial insights for sustainable land management and ecological restoration. People-to-pixel approach is found very useful for mapping farmland abandonment at the village scale.Abstract Farmland abandonment is increasingly prevalent, especially in the Central Himalaya. Precise mapping of abandoned areas is crucial for understanding their status and socioecological impacts. However, distinguishing abandoned farmland from transitional classes like fallow land and barren land is challenging without high-resolution satellite imagery and field verification. In this context, this work analyzes farmland abandonment in three ecological villages of the Nepal Himalaya using high-resolution satellite imagery and a people-to-pixel approach. First, the study villages were divided into grids based on their areas, and satellite imagery was printed for ground truthing. Second, ground truthing was conducted to identify active and abandoned farmland areas using the Field Area Measure App and satellite imagery. We measured the extent of abandoned farmland and assessed its current conditions. Third, the measured abandoned farmland shapefiles were exported for precise on-screen mapping using the Geographic Information System, alongside detailed land-cover mapping. Next, the accuracy assessment was performed using Google Earth satellite imagery, and the overall mapping accuracy was found to be 95.8%. Mapping results show that the highest areas of abandoned farmland were found in the Mountain region with 19.2% of total farmland, followed by the Hill region (12.7%) and the Tarai region (2.6%). Out of the total abandoned farmland, 49.2% is currently covered with bushes and shrubs, 42.9% with weeds and grasses, and the remaining 7.9% with woodlands. The findings emphasize the importance of integrating satellite technology with people engagement to address complex land-use challenges and offer critical insights for sustainable land management in the Nepal Himalaya and similar regions worldwide. |
| URL标识 | 查看原文 |
| WOS关键词 | LAND ABANDONMENT ; VEGETATION ; DRIVERS |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001624591200001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219491]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Zhang, Yili |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 2.Tribhuvan Univ, Chinese Acad Sci, Kathmandu Ctr Res & Educ, Kathmandu 44613, Nepal 3.Lumbini Buddhist Univ, Lumbini Res Ctr, Lumbini 32990, Nepal; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Paudel, Basanta,Zhang, Yili,Zhang, Binghua,et al. High-Resolution Remote Sensing and People-to-Pixel Integration for Mapping Farmland Abandonment in Central Himalayan Villages[J]. REMOTE SENSING,2025,17(22):3726. |
| APA | Paudel, Basanta,Zhang, Yili,Zhang, Binghua,Gu, Changjun,Liu, Linshan,&Khanal, Narendra Raj.(2025).High-Resolution Remote Sensing and People-to-Pixel Integration for Mapping Farmland Abandonment in Central Himalayan Villages.REMOTE SENSING,17(22),3726. |
| MLA | Paudel, Basanta,et al."High-Resolution Remote Sensing and People-to-Pixel Integration for Mapping Farmland Abandonment in Central Himalayan Villages".REMOTE SENSING 17.22(2025):3726. |
入库方式： OAI收割
来源：地理科学与资源研究所
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