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Spatiotemporal Variation of Siberian Crane Habitats and the Response to Water Level in Poyang Lake Wetland, China 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 1, 页码: 19
Authors:  Zou, Lin;  Hu, Bisong;  Qi, Shuhua;  Zhang, Qianqian;  Ning, Pan
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Siberian crane  habitat  Geographic Information System  vulnerability  Poyang Lake  Landsat images  
Changes in chlorophyll a and its response to nitrogen and phosphorus characteristics over the past three decades in Poyang Lake, China 期刊论文
ECOHYDROLOGY, 2020, 页码: 13
Authors:  Ma, Mingzhen;  Jia, Junjie;  Hu, Yang;  Yang, Jun;  Lu, Yao;  Shi, Kun;  Gao, Yang
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chlorophyll a  Landsat  Poyang Lake  retrieval model  TN  TP  
Fusion of High- and Medium-Resolution Optical Remote Sensing Imagery and GlobeLand30 Products for the Automated Detection of Intra-Urban Surface Water 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 24, 页码: 21
Authors:  Li, Zhi;  Yang, Xiaomei
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urban surface water area  extended morphological profiles  adaptive threshold segmentation  decision-level fusion  GaoFen-1 satellite  Landsat-OLI 8  GlobeLand30 products  three-case study in China  
Accretion-Erosion Dynamics of the Yellow River Delta and the Relationships with Runoff and Sediment from 1976 to 2018 期刊论文
WATER, 2020, 卷号: 12, 期号: 11, 页码: 23
Authors:  Li, He;  Huang, Chong;  Liu, Qingsheng;  Liu, Gaohuan
Favorite  |  View/Download:1/0  |  Submit date:2021/03/16
YRD  water-sediment regulation  Landsat  Google Earth Engine  coastline  accretion–  erosion area  
Open-Surface Water Bodies Dynamics Analysis in the Tarim River Basin (North-Western China), Based on Google Earth Engine Cloud Platform 期刊论文
WATER, 2020, 卷号: 12, 期号: 10, 页码: 27
Authors:  Chen, Jiahao;  Kang, Tingting;  Yang, Shuai;  Bu, Jingyi;  Cao, Kexin;  Gao, Yanchun
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open-surface water bodies  Landsat image  Google Earth Engine  Tarim River Basin  climate change  
High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data 期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 卷号: 92, 页码: 14
Authors:  Li, Wang;  Niu, Zheng;  Shang, Rong;  Qin, Yuchu;  Wang, Li;  Chen, Hanyue
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Forest canopy height  ICESat-2  Sentinel-1  Sentinel-2  Landsat-8  Machine-learning  Deep-learning  Random forest  
Applying Multi-Temporal Landsat Satellite Data and Markov-Cellular Automata to Predict Forest Cover Change and Forest Degradation of Sundarban Reserve Forest, Bangladesh 期刊论文
FORESTS, 2020, 卷号: 11, 期号: 9, 页码: 35
Authors:  Hasan, Mohammad Emran;  Nath, Biswajit;  Sarker, A. H. M. Raihan;  Wang, Zhihua;  Zhang, Li;  Yang, Xiaomei;  Nobi, Mohammad Nur;  Roskaft, Eivin;  Chivers, David J.;  Suza, Ma
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land cover  forest cover change  spatial forest health quality  forest degradation  multi-temporal Landsat satellite image  Markov-cellular automata model  Sundarban Reserve Forest  Bangladesh  
A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 卷号: 15, 期号: 9, 页码: 17
Authors:  Hudak, Andrew T.;  Fekety, Patrick A.;  Kane, Van R.;  Kennedy, Robert E.;  Filippelli, Steven K.;  Falkowski, Michael J.;  Tinkham, Wade T.;  Smith, Alistair M. S.;  Crookston, Nicholas L.;  Domke, Grant M.;  Corrao, Mark, V;  Bright, Benjamin C.;  Churchill, Derek J.;  Gould, Peter J.;  McGaughey, Robert J.;  Kane, Jonathan T.;  Dong, Jinwei
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Commercial Off-The-Shelf (COTS) lidar  Forest Inventory and Analysis (FIA)  landsat image time series  LandTrendr  monitoring  reporting  verification (MRV)  
Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 163, 页码: 312-326
Authors:  Wang, Xinxin;  Xiao, Xiangming;  Zou, Zhenhua;  Hou, Luyao;  Qin, Yuanwei;  Dong, Jinwei;  Doughty, Russell B.;  Chen, Bangqian;  Zhang, Xi;  Cheng, Ying;  Ma, Jun;  Zhao, Bin;  Li, Bo
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Coastal wetlands  Tidal flats  Coastal vegetation  Time series Landsat images  Pixel- and phenology-based algorithm  Google Earth Engine  China  
Mapping impervious surface distribution in China using multi-source remotely sensed data 期刊论文
GISCIENCE & REMOTE SENSING, 2020, 页码: 10
Authors:  Li, Guiying;  Li, Longwei;  Lu, Dengsheng;  Guo, Wei;  Kuang, Wenhui
Favorite  |  View/Download:12/0  |  Submit date:2020/05/19
Impervious surface area  integration of multi-source data  VIIRS DNB  MODIS NDVI  landsat  China