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Huilin Gao Dataverse (Texas A and M University)
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1 to 6 of 6 Results
Mar 20, 2019
Gao, Huilin, 2019, "Replication Data for: CONUS Reservoir Evaporation Dataset (CRED)", https://doi.org/10.18738/T8/S8CJ7X, Texas Data Repository Dataverse, V1
By fusing remote sensing and modeling approaches, this study developed a novel method to accurately estimate the evaporation losses from 721 reservoirs in the contiguous United States (CONUS). Reservoir surface areas were extracted and enhanced from the Landsat based Global Surfa...
Unknown - 1.6 KB - MD5: c6214edfd0f831cf631b154206bca7e5
Readme
application/x-gzip-compressed - 6.8 MB - MD5: 269c4dbb2e120d3a77ad38f4333ba2d7
US Reservoir evaporation dataset (USRED)
Jan 8, 2019
Gao, Huilin;Zhao, Gang, 2019, "Global Reservoir Surface Area Dataset (GRSAD)", https://doi.org/10.18738/T8/DF80WG, Texas Data Repository Dataverse, V2
This dataset contains the time series of area values for 6817 global reservoirs (with an integrated capacity of 6099 km3) generated from 1984 to 2015. It was based on the dataset by Pekel et al. (2016), with the contaminations from clouds, cloud shadows, and terrain shadows corre...
application/x-gzip-compressed - 22.3 MB - MD5: 6519233a78fe0d568045b9c52eda79b7
Plain Text - 1.7 KB - MD5: 0e88a6eb17421f78a67b7e8ae6c4bfc0
README for the GRSAD reservoir area dataset
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