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科研机构
地理科学与资源研究... [14]
内容类型
期刊论文 [14]
发表日期
2017 [14]
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发表日期:2017
专题:地理科学与资源研究所
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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:56/0
  |  
提交时间:2019/09/25
Forest cover mapping
MODIS
Landsat
Updating
Spectral-spatial-temporal
Super-resolution mapping
An Object-Based Linear Weight Assignment Fusion Scheme to Improve Classification Accuracy Using Landsat and MODIS Data at the Decision Level
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 卷号: 55, 期号: 12, 页码: 6989-7002
作者:
Guan, Xudong
;
Liu, Gaohuan
;
Huang, Chong
;
Liu, Qingsheng
;
Wu, Chunsheng
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2019/09/25
Decision fusion
fuzzy sets
image classification
image segmentation
remote sensing
time-series analysis
Rules to write mathematics to clarify metrics such as the land use dynamic degrees
期刊论文
LANDSCAPE ECOLOGY, 2017, 卷号: 32, 期号: 12, 页码: 2249-2260
作者:
Pontius, Robert Gilmore, Jr.
;
Huang, Jinliang
;
Jiang, Wenle
;
Khallaghi, Sam
;
Lin, Youtao
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/10/11
Annual change percentage
China
CLUDD
Intensity Analysis
Land change
Mathematical notation
Changes in ecosystem services associated with planting structures of cropland: A case study in Minle County in China
期刊论文
PHYSICS AND CHEMISTRY OF THE EARTH, 2017, 卷号: 102, 页码: 10-20
作者:
Liu, Yaqun
;
Song, Wei
;
Mu, Fengyun
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/09/25
Cropland
Land use change
Crop planting structure
Ecosystem services
TM/ETM plus images
Minle County
Impervious Surface Change Mapping with an Uncertainty-Based Spatial-Temporal Consistency Model: A Case Study in Wuhan City Using Landsat Time-Series Datasets from 1987 to 2016
期刊论文
REMOTE SENSING, 2017, 卷号: 9, 期号: 11, 页码: 19
作者:
Shi, Lingfei
;
Ling, Feng
;
Ge, Yong
;
Foody, Giles M.
;
Li, Xiaodong
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2019/05/30
Landsat
support vector machine (SVM)
impervious surface
classification uncertainty
uncertainty-based spatial-temporal consistency (USTC) model
temporal consistency (TC) model
Forest Types Classification Based on Multi-Source Data Fusion
期刊论文
REMOTE SENSING, 2017, 卷号: 9, 期号: 11, 页码: 22
作者:
Lu, Ming
;
Chen, Bin
;
Liao, Xiaohan
;
Yue, Tianxiang
;
Yue, Huanyin
收藏
  |  
浏览/下载:137/0
  |  
提交时间:2019/05/30
data fusion
forest types
classification
Multi-faceted land cover and land use change analyses in the Yellow River Basin based on dense Landsat time series: Exemplary analysis in mining, agriculture, forest, and urban areas
期刊论文
APPLIED GEOGRAPHY, 2017, 卷号: 85, 页码: 73-88
作者:
Wohlfart, Christian
;
Mack, Benjamin
;
Liu, Gaohuan
;
Kuenzer, Claudia
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/09/25
Global change
Land cover change
Time-series
Remote sensing
Spectral-temporal metrics
Stable pixels
China
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
Spatial and temporal change patterns of freeze-thaw erosion in the three-river source region under the stress of climate warming
期刊论文
JOURNAL OF MOUNTAIN SCIENCE, 2017, 卷号: 14, 期号: 6, 页码: 1086-1099
作者:
Guo, Bing
;
Luo, Wei
;
Wang, Dong-liang
;
Jiang, Lin
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/09/25
Freeze-thaw erosion
Vegetation
Precipitation
Three-river source region
Global warming
Extracting distribution and expansion of rubber plantations from Landsat imagery using the C5.0 decision tree method
期刊论文
JOURNAL OF APPLIED REMOTE SENSING, 2017, 卷号: 11, 页码: 21
作者:
Sun, Zhongchang
;
Leinenkugel, Patrick
;
Guo, Huadong
;
Huang, Chong
;
Kuenzer, Claudia
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2019/09/25
rubber plantation
C5.0
classification
dynamic change analysis
Landsat
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