Refined wetland classification of international wetland cities based on the random forest algorithm and knowledge-driven rules： A case study of Changde city， China

DENG Yawen; JIANG Weiguo; WANG Xiaoya; PENG Kaifeng

doi:10.11834/jrs.20232293

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Refined wetland classification of international wetland cities based on the random forest algorithm and knowledge-driven rules： A case study of Changde city， China
- role：First author第一作者
- Affiliation：
  State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
- Email：dengyawen@mail.bnu.edu.cn
- Introduction：邓雅文，研究方向为生态水文遥感和湿地遥感。E-mail： dengyawen@mail.bnu.edu.cn
DENG Yawen
* ,
- role：Corresponding author通信作者
- Affiliation：
  State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
- Email：jiangweiguo@bnu.edu.cn
- Introduction：蒋卫国，研究方向为水文遥感大数据分析、洪水灾害监测评价及湿地生态空间模拟研究。E-mail：jiangweiguo@bnu.edu.cn
JIANG Weiguo
* ,
- Affiliation：
  State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
WANG Xiaoya
* ,
- Affiliation：
  State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
PENG Kaifeng
*
Vol. 27, Issue 6, Pages: 1426-1440(2023)
DOI：10.11834/jrs.20232293
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Refined wetland classification of international wetland cities based on the random forest algorithm and knowledge-driven rules： A case study of Changde city， China

DENG Yawen

JIANG Weiguo

WANG Xiaoya

PENG Kaifeng

DOI：10.11834/jrs.20232293

Full Text(HTML)

Figs( 10 ) Tabs( 5 )

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