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Effects of data temporal resolution on phenology extractions from the alpine grasslands of the Tibetan Plateau 期刊论文
ECOLOGICAL INDICATORS, 2019, 卷号: 104, 页码: 365-377
Authors:  Zhu, Yixuan;  Zhang, Yangjian;  Zu, Jiaxing;  Wang, Zhipeng;  Huang, Ke;  Cong, Nan;  Tang, Ze
Favorite  |  View/Download：5/0  |  Submit date：2019/09/24
End of season  Extraction algorithm  Field monitoring  MODIS NDVI  Start of season  
Exploring the trend, prediction and driving forces of aerosols using satellite and ground data, and implications for climate change mitigation 期刊论文
JOURNAL OF CLEANER PRODUCTION, 2019, 卷号: 223, 页码: 238-251
Authors:  Li, Xueke;  Zhang, Chuanrong;  Li, Weidong;  Anyah, Richard O.;  Tian, Jing
Favorite  |  View/Download：1/0  |  Submit date：2019/09/24
MODIS C6  Aerosol optical depth  Time series  ARIMA  Climate change mitigation  
Normalization of the temporal effect on the MODIS land surface temperature product using random forest regression 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2019, 卷号: 152, 页码: 109-118
Authors:  Zhao, Wei;  Wu, Hua;  Yin, Gaofei;  Duan, Si-Bo
Favorite  |  View/Download：2/0  |  Submit date：2019/09/24
Land surface temperature  Temporal effect  MODIS  Random forest regression  Normalization  
Validation of Collection 6 MODIS land surface temperature product using in situ measurements 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2019, 卷号: 225, 页码: 16-29
Authors:  Duan, Si-Bo;  Li, Zhao-Liang;  Li, Hua;  Goettsche, Frank-M;  Wu, Hua;  Zhao, Wei;  Leng, Pei;  Zhang, Xia;  Coll, Cesar
Favorite  |  View/Download：3/0  |  Submit date：2019/09/24
Land surface temperature  MODIS  Temperature-based validation method  Split-window algorithm  In situ measurements  
A simple regional snow hydrological process-based snow depth model and its application in the Upper Yangtze River Basin 期刊论文
HYDROLOGY RESEARCH, 2019, 卷号: 50, 期号: 2, 页码: 672-690
Authors:  Ren, Yanqun;  Liu, Suxia
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critical temperature  hydrological model  MODIS  snow depth simulation  Upper Yangtze River Basin  
An Improved Spatio-Temporal Adaptive Data Fusion Algorithm for Evapotranspiration Mapping 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 7, 页码: 21
Authors:  Wang, Tong;  Tang, Ronglin;  Li, Zhao-Liang;  Jiang, Yazhen;  Liu, Meng;  Niu, Lu
Favorite  |  View/Download：2/0  |  Submit date：2019/09/24
evapotranspiration  fusion  multi-source satellite data  Landsat 8  MODIS  SADFAET  
A radiance-based split-window algorithm for land surface temperature retrieval: Theory and application to MODIS data 期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2019, 卷号: 76, 页码: 204-217
Authors:  Wang, Mengmeng;  He, Guojin;  Zhang, Zhaoming;  Wang, Guizhou;  Wang, Zhihua;  Yin, Ranyu;  Cui, Shiai;  Wu, Zhijie;  Cao, Xiaojie
Favorite  |  View/Download：9/0  |  Submit date：2019/05/22
Land surface temperature  Split-window algorithm  Simplification of Planck's function  MODIS  
Mapping annual forest cover by fusing PALSAR/PALSAR-2 and MODIS NDVI during 2007-2016 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2019, 卷号: 224, 页码: 74-91
Authors:  Zhang, Yihang;  Ling, Feng;  Foody, Giles M.;  Ge, Yong;  Boyd, Doreen S.;  Li, Xiaodong;  Du, Yun;  Atkinson, Peter M.
Favorite  |  View/Download：23/0  |  Submit date：2019/05/22
ALOS PALSAR  ALOS-2 PALSAR-2  Forest mapping  MODIS NDVI  Spatial-temporal  Downscaling  Super-resolution mapping  
Tracking the spatio-temporal change of cropping intensity in China during 2000–2015 期刊论文
Environmental Research Letters, 2019, 卷号: 14, 期号: 3
Authors:  Yan,Huimin;  Liu,Fang;  Qin,Yuanwei;  Niu,Zhong’en;  Doughty,Russell;  Xiao,Xiangming
Favorite  |  View/Download：8/0  |  Submit date：2019/05/22
cropland  food security  MODIS  remote sensing  
An optimized two source energy balance model based on complementary concept and canopy conductance 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2019, 卷号: 223, 页码: 243-256
Authors:  Gan, Guojing;  Kang, Tingting;  Yang, Shuai;  Bu, Jingyi;  Feng, Zhiming;  Gao, Yanchun
Favorite  |  View/Download：17/0  |  Submit date：2019/05/22
Evapotranspiration  TSEB  Canopy conductance  Complementary concept  MODIS LST