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地理科学与资源研究... [14]
武汉大学 [11]
北京大学 [4]
东北地理与农业生态研... [2]
福州大学 [2]
青藏高原研究所 [1]
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内容类型
期刊论文 [30]
其他 [5]
会议论文 [2]
发表日期
2017 [37]
学科主题
地理学::自然地理学 [1]
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A Method for Deriving All-Sky Evapotranspiration From the Synergistic Use of Remotely Sensed Images and Meteorological Data
期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 卷号: 122, 期号: 24, 页码: 13263-13277
作者:
Leng, Pei
;
Li, Zhao-Liang
;
Duan, Si-Bo
;
Tang, Ronglin
;
Gao, Mao-Fang
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2019/05/30
all-sky evapotranspiration
LST
FVC feature space
Penman-Monteith equation
YCES
Updating Landsat-based forest cover maps with MODIS images using multiscale spectral-spatial-temporal superresolution mapping
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2017, 卷号: 63, 页码: 129-142
作者:
Zhang, Yihang
;
Li, Xiaodong
;
Ling, Feng
;
Atkinson, Peter M.
;
Ge, Yong
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2019/09/25
Forest cover mapping
MODIS
Landsat
Updating
Spectral-spatial-temporal
Super-resolution mapping
Land cover change during a period of extensive landscape restoration in ningxia hui autonomous region, china
期刊论文
Science of the total environment, 2017, 卷号: 598, 页码: 669-679
作者:
Restrepo, Angela M. Cadavid
;
Yang, Yu Rong
;
Hamm, Nicholas A. S.
;
Gray, Darren J.
;
Barnes, Tamsin S.
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2019/05/09
Environmental change
Land cover change
Geographic information systems
Remote sensing
Earth observations
Disaggregation of remotely sensed land surface temperature: A simple yet flexible index (SIFI) to assess method performances
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2017, 卷号: 200, 页码: 206-219
作者:
Gao, Lun
;
Zhan, Wenfeng
;
Huang, Fan
;
Zhu, Xiaolin
;
Zhou, Ji
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2019/09/25
Thermal remote sensing
Land surface temperature
Disaggregation
Model performance
Accuracy assessment
A Sparse Dictionary Learning-Based Adaptive Patch Inpainting Method for Thick Clouds Removal from High-Spatial Resolution Remote Sensing Imagery
期刊论文
SENSORS, 2017, 卷号: 17, 期号: 9, 页码: 16
作者:
Meng, Fan
;
Yang, Xiaomei
;
Zhou, Chenghu
;
Li, Zhi
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/09/25
sparse representation
dictionary learning
image inpainting
thick clouds removal
high resolution remote sensing image
Generating a series of fine spatial and temporal resolution land cover maps by fusing coarse spatial resolution remotely sensed images and fine spatial resolution land cover maps
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2017, 卷号: 196, 页码: 293-311
作者:
Li, Xiaodong
;
Ling, Feng
;
Foody, Giles M.
;
Ge, Yong
;
Zhang, Yihang
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2019/09/25
Spatial temporal fusion
Super-resolution mapping
Endmember extraction
Development and evaluation of the MTVDI for soil moisture monitoring
期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 卷号: 122, 期号: 11, 页码: 5533-5555
作者:
Zhu, Wenbin
;
Lv, Aifeng
;
Jia, Shaofeng
;
Sun, Liang
收藏
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浏览/下载:12/0
  |  
提交时间:2019/09/25
soil moisture
TVDI
T-s-VI
TVX method
MODIS
Assessing the impact of emerging forest disease on wildfire using Landsat and KOMPSAT-2 data
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2017, 卷号: 195, 页码: 218-229
作者:
Chen, Gang
;
He, Yinan
;
De Santis, Angela
;
Li, Guosheng
;
Cobb, Richard
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/09/25
Forest disease
Burn severity
Object-based filter
Landsat
KOMPSAT-2
Interacting disturbances
Detection of Hydromorphologic Characteristics of Indus River Estuary, Pakistan, Using Satellite and Field Data
期刊论文
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2017, 卷号: 42, 期号: 6, 页码: 2539-2558
作者:
Ijaz, Muhammad Wajid
;
Siyal, Altaf Ali
;
Mahar, Rasool Bux
;
Ahmed, Waqas
;
Anjum, Muhammad Naveed
收藏
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浏览/下载:34/0
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提交时间:2019/10/09
Water bodies
Classification
River Indus
Density slicing
Evaluating the Use of DMSP/OLS Nighttime Light Imagery in Predicting PM2.5 Concentrations in the Northeastern United States
期刊论文
REMOTE SENSING, 2017, 卷号: 9, 期号: 6, 页码: 16
作者:
Li, Xueke
;
Zhang, Chuanrong
;
Li, Weidong
;
Liu, Kai
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  |  
浏览/下载:41/0
  |  
提交时间:2019/09/25
PM2.5
nighttime light (NTL)
Vegetation Adjusted NTL Urban Index (VANUI)
aerosol optical depth (AOD)
geographically weighted regression (GWR)
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