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Remote sensing of swidden agriculture in the tropics: A review

文献类型：期刊论文

作者Jiang, Ningsang; Li, Peng2; Feng, Zhiming
刊名INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
出版日期2022-08-01
卷号112页码:13
关键词Swidden agriculture Spectral feature -based algorithms Landsat Dry season Slash -and -burn The tropics
ISSN号1569-8432
DOI10.1016/j.jag.2022.102876
通讯作者Li, Peng(lip@igsnrr.ac.cn)
英文摘要The evolution and transformations of swidden agriculture closely relate to ongoing studies of carbon budget, biological diversity, ecosystem services, indigenous wellbeing, and ethnic identities. Remote sensing has become an important tool to quantify and display swidden agriculture in transition. Due to its diversity, dynamics, and complexity, however, the development of universal remote sensing algorithms for mapping swidden agriculture faces major challenges. Although swidden agriculture has increasingly become the focus of climate change and other sustainable initiatives, a systematic review on remote sensing of this farming system in the tropics is seldom reported. With 89 peer-reviewed journal articles related to the identification, mapping, monitoring or forecast of swidden agriculture since the 1970s, the methodological progresses and shortcomings of remote sensing of swidden agriculture were compared and summarized, followed by providing several perspectives on near-future research directions. The conclusions were drawn as follows. Firstly, the limited remote sensing studies of swidden agriculture were mostly reported in Southeast Asia (66%), followed by Latin America and Central Africa. Secondly, Landsat is the most (59%) widely applied to monitor swidden agriculture and also holds huge potential in delineating its trajectories. Thirdly, the spectral feature-based algorithms (76%) are more used than the counterparts of geometric-based and structure-based ones. Finally, several aspects including exploring new data and algorithms for the enhancement of remote sensing of swidden agriculture have been proposed. This review paper might be served as a long-delayed appeal for strengthening remote sensing of swidden agriculture in the tropics for accurately assessing the carbon budget of forest change and other ecological and social effects caused by the evolution and transformations of swidden agriculture.
WOS关键词LAND-COVER CHANGES ; SHIFTING CULTIVATION ; SOUTHEAST-ASIA ; SPECTRAL INDEXES ; CARBON STOCK ; ENVIRONMENTAL CONSEQUENCES ; FOREST DEGRADATION ; SATELLITE IMAGERY ; COASTAL VILLAGE ; USE TRANSITIONS
资助项目National Natural Science Foundation of China[41971242] ; National Natural Science Foundation of China[42130508] ; National Natural Science Foundation of China[41301090] ; Youth Innovation Pro-motion Association of the Chinese Academy of Sciences[2020055]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000844311700003
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Youth Innovation Pro-motion Association of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/166609]  
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		 Jiang, Ningsang,Li, Peng,Feng, Zhiming. Remote sensing of swidden agriculture in the tropics: A review[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2022,112:13.
APA Jiang, Ningsang,Li, Peng,&Feng, Zhiming.(2022).Remote sensing of swidden agriculture in the tropics: A review.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,112,13.
MLA Jiang, Ningsang,et al."Remote sensing of swidden agriculture in the tropics: A review".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 112(2022):13.

入库方式： OAI收割

来源：地理科学与资源研究所

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