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地理科学与资源研究... [10]
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期刊论文 [49]
会议论文 [7]
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2018 [56]
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Time Tracking of Different Cropping Patterns Using Landsat Images under Different Agricultural Systems during 1990-2050 in Cold China
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 12, 页码: 22
作者:
Pan, Tao
;
Zhang, Chi
;
Kuang, Wenhui
;
De Maeyer, Philippe
;
Kurban, Alishir
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2019/05/23
tracking cropping patterns
time series images
updating technology
agricultural systems
Cold China
An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 卷号: 146, 页码: 347-359
作者:
Hu, Yunfeng
;
Dong, Yu
;
Batunacun
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  |  
浏览/下载:35/0
  |  
提交时间:2019/05/23
Automatic update
Change detection
Land use/land cover
Time-series analysis
A simple method to improve the quality of NDVI time-series data by integrating spatiotemporal information with the Savitzky-Golay filter
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 217, 期号: 0, 页码: 244-257
作者:
Chen, J (Chen, Jin)
;
Cao, RY (Cao, Ruyin)
;
Chen, Y (Chen, Yang)
;
Shen, MG (Shen, Miaogen)
;
Zhou, J (Zhou, Jin)
收藏
  |  
浏览/下载:113/0
  |  
提交时间:2019/05/21
Digital Repeat Photography
Satellite Sensor Data
Vegetation Phenology
Harmonic-analysis
Modis Ndvi
Green-up
Forest
Reflectance
Landsat
Images
Exploration in mapping kernel-based home range models from remote sensing imagery with conditional adversarial networks
期刊论文
Remote sensing, 2018, 卷号: 10, 期号: 11, 页码: 16
作者:
Zheng, Ruobing
;
Wu, Guoqiang
;
Yan, Chao
;
Zhang, Renyu
;
Luo, Ze
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  |  
浏览/下载:110/0
  |  
提交时间:2019/05/09
Home range
Remote sensing
Deep learning
Generative adversarial networks
Habitat mapping
Bar-headed geese
Discriminative graph regularized broad learning system for image recognition
期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2018, 卷号: 61, 期号: 11, 页码: 14
作者:
Jin, Junwei
;
Liu, Zhulin
;
Chen, C. L. Philip
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  |  
浏览/下载:43/0
  |  
提交时间:2019/12/16
broad learning system
deep learning
graph regularization
image recognition
feature extraction
incremental learning
Urban landscape extraction and analysis in the mega-city of China's coastal regions using high-resolution satellite imagery: A case of Shanghai, China
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2018, 卷号: 72, 页码: 140-150
作者:
Li, Zhi
;
Zhou, Chenghu
;
Yang, Xiaomei
;
Chen, Xi
;
Meng, Fan
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  |  
浏览/下载:39/0
  |  
提交时间:2019/05/23
Urban
Landscape
Land-cover mapping
GaoFen-1 satellite
Coastal China
Directional Polarimetric Camera (DPC): Monitoring aerosol spectral optical properties over land from satellite observation
期刊论文
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2018, 卷号: 218, 页码: 21-37
作者:
Li, Zhengqiang
;
Hou, Weizhen
;
Hong, Jin
;
Zheng, Fengxun
;
Luo, Donggen
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  |  
浏览/下载:46/0
  |  
提交时间:2019/12/11
Directional Polarimetric Camera (DPC)
GaoFen-5 satellite
Spectral aerosol optical depth (AOD)
Improved BRDF model
Inversion capability analysis
Does Environment Filtering or Seed Limitation Determine Post-fire Forest Recovery Patterns in Boreal Larch Forests?
期刊论文
FRONTIERS IN PLANT SCIENCE, 2018, 卷号: 9
作者:
Cai, Wen H.
;
Yang, Yuan Z.
;
Liu, Zhihua
;
Yang, Jian
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  |  
浏览/下载:34/0
  |  
提交时间:2018/12/04
Fire Disturbance
Climate Change
Environmental Filtering
Seed Availability
Forest Recovery
Boosted Regression Tree Analysis
Does Environment Filtering or Seed Limitation Determine Post-fire Forest Recovery Patterns in Boreal Larch Forests?
期刊论文
FRONTIERS IN PLANT SCIENCE, 2018, 卷号: 9, 页码: 12
作者:
Cai, Wen H.
;
Liu, Zhihua
;
Yang, Yuan Z.
;
Yang, Jian
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  |  
浏览/下载:0/0
  |  
提交时间:2021/02/02
fire disturbance
climate change
environmental filtering
seed availability
forest recovery
boosted regression tree analysis
Early-season crop mapping using improved artificial immune network (IAIN) and Sentinel data
期刊论文
PEERJ, 2018, 卷号: 6, 页码: 30
作者:
Hao, Pengyu
;
Tang, Huajun
;
Chen, Zhongxin
;
Liu, Zhengjia
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  |  
浏览/下载:27/0
  |  
提交时间:2019/05/23
Classification
Cotton
Maize
Early-season
Wheat
Hengshui
Sentinel
Image time series
Improved artificial immune network
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