Freshly-opened swidden mapping using Support Vector Machine （SVM） and spatial characteristics in Phongsaly Province， Laos

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Freshly-opened swidden mapping using Support Vector Machine （SVM） and spatial characteristics in Phongsaly Province， Laos
- role：First author第一作者
- Affiliation：
  Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China
  College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
- Email：lip@igsnrr.ac.cn
- Introduction：李鹏，研究方向为资源遥感与边境地理。E-mail： lip@igsnrr.ac.cn
LI Peng
12 * ,
- Affiliation：
  Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China
  College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
JIANG Ningsang
12 * ,
- Affiliation：
  Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China
  College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
FENG Zhiming
12 * ,
- Affiliation：
  Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China
XIAO Chiwei
1 *
Vol. 26, Issue 11, Pages: 2329-2343(2022)
DOI：10.11834/jrs.20211113
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