Swidden Agriculture Landscape Mapping Using MODIS Vegetation Index Time Series and Its Spatio-Temporal Dynamics in Northern Laos
文献类型：期刊论文
| 作者 | Li, Peng1,2; Yang, Yin1,2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-12-01 |
| 卷号 | 14期号:23页码:19 |
| 关键词 | swidden agriculture landscape MODIS NDVI time series the Savitzky-Golay filter shifting cultivation eradication policy Laos |
| DOI | 10.3390/rs14236173 |
| 通讯作者 | Li, Peng(lip@igsnrr.ac.cn) |
| 英文摘要 | Swidden agriculture or shifting cultivation is still being widely practiced in tropical developing countries and Laos has spared no effort to eradicate it since the mid-1990s. So far, the development of swidden agriculture in this land-locked mountainous country during the 2000-2020 bi-decade remains poorly examined. Moderate-resolution Imaging Spectroradiometer (MODIS) time-series products have shown potential in monitoring vegetative status; however, only extremely limited cases of remote sensing of swidden agriculture landscapes have been reported. Taking northern Laos as a study area and using 2001-2020 MODIS vegetation indices products, the Savitzky-Golay filter, the Mann-Kendall trend test and a threshold method were employed to delineate and monitor annual patterns and dynamics of swidden agriculture landscape at the village level. The results showed that: MODIS Normalized Difference Vegetation Index (NDVI) time series perform better in delineating the temporal development of swidden agriculture. The swidden agriculture landscape has shown a general descending trend in the past decades, especially in the 2010s, with an annual average of 14.70 x 10(4) ha. The total number of swidden-practicing villages (or districts) also displayed a declining trend and there were 957 villages or 91 districts practicing it continuously between 2001 and 2020. An average of 32 villages per year or two districts per decade highlights the difficulty in ending swidden agriculture in Laos, although the government of Laos has established a number of policies for the eradication of swidden agriculture by 2020. This study provides a necessary methodological reference for monitoring a two-decade evolution and transformation of swidden agriculture in the tropics. |
| WOS关键词 | SOUTHEAST-ASIA ; CULTIVATION ; LANDSAT ; COVER ; PRODUCTS ; QUALITY |
| 资助项目 | National Natural Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; [41971242] ; [2020055] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000896226100001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/187871]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Peng |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.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,Yang, Yin. Swidden Agriculture Landscape Mapping Using MODIS Vegetation Index Time Series and Its Spatio-Temporal Dynamics in Northern Laos[J]. REMOTE SENSING,2022,14(23):19. |
| APA | Li, Peng,&Yang, Yin.(2022).Swidden Agriculture Landscape Mapping Using MODIS Vegetation Index Time Series and Its Spatio-Temporal Dynamics in Northern Laos.REMOTE SENSING,14(23),19. |
| MLA | Li, Peng,et al."Swidden Agriculture Landscape Mapping Using MODIS Vegetation Index Time Series and Its Spatio-Temporal Dynamics in Northern Laos".REMOTE SENSING 14.23(2022):19. |
入库方式： OAI收割
来源：地理科学与资源研究所
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