中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [5]
采集方式
OAI收割 [5]
内容类型
期刊论文 [5]
发表日期
2024 [1]
2023 [1]
2019 [3]
学科主题
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Assessing the Accuracy and Consistency of Cropland Products in the Middle Yangtze Plain
期刊论文
OAI收割
LAND, 2024, 卷号: 13, 期号: 3, 页码: 14
作者:
Xu, Haixia
;
Jiang, Luguang
;
Liu, Ye
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/05/06
cropland distribution
Middle Yangtze Plain
GLAD (Global Land Analysis & Discovery)
AGLC (Annual Global Land Cover)
CLCD (China Land Cover Dataset)
CACD (China's Annual Cropland Dataset)
Are there suitable global datasets for monitoring of land use and land cover in the tropics? Evidences from mainland Southeast Asia
期刊论文
OAI收割
GLOBAL AND PLANETARY CHANGE, 2023, 卷号: 229, 页码: 14
作者:
Zhai, Jiahao
;
Xiao, Chiwei
;
Feng, Zhiming
;
Liu, Ying
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/11/29
Global land use and land cover dataset
Remote sensing mapping
Consistency analysis
Forest loss
Accuracy assessment
Mainland Southeast Asia
Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 12, 页码: 24
作者:
Liang, Li
;
Liu, Qingsheng
;
Liu, Gaohuan
;
Li, He
;
Huang, Chong
  |  
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2019/09/24
global land cover dataset
spatial agreement
spatial variation in accuracy
Arctic
Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 12, 页码: 24
作者:
Liang, Li
;
Liu, Qingsheng
;
Liu, Gaohuan
;
Li, He
;
Huang, Chong
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2019/09/24
global land cover dataset
spatial agreement
spatial variation in accuracy
Arctic
Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 12, 页码: 24
作者:
Liang, Li
;
Liu, Qingsheng
;
Liu, Gaohuan
;
Li, He
;
Huang, Chong
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/09/24
global land cover dataset
spatial agreement
spatial variation in accuracy
Arctic