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
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地理科学与资源研究... [47]
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Cropland abandonment mapping at sub-pixel scales using crop phenological information and MODIS time-series images
期刊论文
OAI收割
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 卷号: 208, 页码: 107763
作者:
Zhao, Xuan
;
Wu, Taixia
;
Wang, Shudong
;
Liu, Kai
;
Yang, Jingyu
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/01/04
Cropland abandonment
Phenology
Sub-pixel
MODIS time series
Change detection
Swidden Agriculture Landscape Mapping Using MODIS Vegetation Index Time Series and Its Spatio-Temporal Dynamics in Northern Laos
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 23, 页码: 19
作者:
Li, Peng
;
Yang, Yin
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2023/01/09
swidden agriculture landscape
MODIS NDVI time series
the Savitzky-Golay filter
shifting cultivation eradication policy
Laos
Swidden Agriculture Landscape Mapping Using MODIS Vegetation Index Time Series and Its Spatio-Temporal Dynamics in Northern Laos
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 23, 页码: 19
作者:
Li, Peng
;
Yang, Yin
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/01/09
swidden agriculture landscape
MODIS NDVI time series
the Savitzky-Golay filter
shifting cultivation eradication policy
Laos
Using MODIS-NDVI Time Series to Quantify the Vegetation Responses to River Hydro-Geomorphology in the Wandering River Floodplain in an Arid Region
期刊论文
OAI收割
WATER, 2021, 卷号: 13, 期号: 16, 页码: 16
作者:
Ablat, Xarapat
;
Liu, Gaohuan
;
Liu, Qingsheng
;
Huang, Chong
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/11/05
riparian vegetation
fluvial processes
hydro-geomorphological dynamics
MODIS-NDVI time-series
the upper Yellow River
dry regions
Using MODIS-NDVI Time Series to Quantify the Vegetation Responses to River Hydro-Geomorphology in the Wandering River Floodplain in an Arid Region
期刊论文
OAI收割
WATER, 2021, 卷号: 13, 期号: 16, 页码: 16
作者:
Ablat, Xarapat
;
Liu, Gaohuan
;
Liu, Qingsheng
;
Huang, Chong
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/11/05
riparian vegetation
fluvial processes
hydro-geomorphological dynamics
MODIS-NDVI time-series
the upper Yellow River
dry regions
An Inherent Optical Properties Data Processing System for Achieving Consistent Ocean Color Products From Different Ocean Color Satellites
期刊论文
OAI收割
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2020, 卷号: 125, 期号: 1, 页码: e2019JC015811
作者:
Chen, Jun
;
He, Xianqiang
;
Xing, Xiaogang
;
Xing, Qianguo
;
Liu, Zhongli
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2020/07/08
PARTICULATE ORGANIC-CARBON
WATER-LEAVING RADIANCE
CROSS-CALIBRATION
TIME-SERIES
IN-SITU
EQUATORIAL PACIFIC
CHLOROPHYLL
SEAWIFS
MODIS
RETRIEVAL
Spatiotemporal variations in cropland abandonment in the Guizhou-Guangxi karst mountain area, China
期刊论文
OAI收割
JOURNAL OF CLEANER PRODUCTION, 2019, 卷号: 238, 页码: 15
作者:
Han, Ze
;
Song, Wei
  |  
收藏
  |  
浏览/下载:64/0
  |  
提交时间:2020/03/23
Abandoned cropland (ACL)
MODIS time series
Random forests classifier
Multi-level analysis
Guizhou-guangxi karst mountain area (GGKMA)
China
Spatiotemporal variations in cropland abandonment in the Guizhou-Guangxi karst mountain area, China
期刊论文
OAI收割
JOURNAL OF CLEANER PRODUCTION, 2019, 卷号: 238, 页码: 15
作者:
Han, Ze
;
Song, Wei
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2020/03/23
Abandoned cropland (ACL)
MODIS time series
Random forests classifier
Multi-level analysis
Guizhou-guangxi karst mountain area (GGKMA)
China
Exploring the trend, prediction and driving forces of aerosols using satellite and ground data, and implications for climate change mitigation
期刊论文
OAI收割
JOURNAL OF CLEANER PRODUCTION, 2019, 卷号: 223, 页码: 238-251
作者:
Li, Xueke
;
Zhang, Chuanrong
;
Li, Weidong
;
Anyah, Richard O.
;
Tian, Jing
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2019/09/24
MODIS C6
Aerosol optical depth
Time series
ARIMA
Climate change mitigation
Exploring the trend, prediction and driving forces of aerosols using satellite and ground data, and implications for climate change mitigation
期刊论文
OAI收割
JOURNAL OF CLEANER PRODUCTION, 2019, 卷号: 223, 页码: 238-251
作者:
Li, Xueke
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/09/24
MODIS C6
Aerosol optical depth
Time series
ARIMA
Climate change mitigation