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Publication Year: 2019

1 to 6 of 6 Results

Global Reservoir Surface Area Dataset (GRSAD) May 15, 2020 Gao, Huilin; Zhao, Gang, 2019, "Global Reservoir Surface Area Dataset (GRSAD)", https://doi.org/10.18738/T8/DF80WG, Texas Data Repository, V3 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...
GRSAD_area_time_series_v2_1984-2018.tgz May 15, 2020 - Global Reservoir Surface Area Dataset (GRSAD) application/x-compressed - 65.5 MB - MD5: 3e515439912058d47f6ef916b0ddd018
README_GRSAD_area_time_series.txt May 15, 2020 - Global Reservoir Surface Area Dataset (GRSAD) Plain Text - 1.7 KB - MD5: 3a86412d067ca4598f76f8b92330ebd8
Replication Data for: CONUS Reservoir Evaporation Dataset (CRED) Mar 20, 2019 Gao, Huilin, 2019, "Replication Data for: CONUS Reservoir Evaporation Dataset (CRED)", https://doi.org/10.18738/T8/S8CJ7X, Texas Data Repository, 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...
Reservoir_evaporation721.readme Mar 20, 2019 - Replication Data for: CONUS Reservoir Evaporation Dataset (CRED) Unknown - 1.6 KB - MD5: c6214edfd0f831cf631b154206bca7e5 Readme
Reservoir_evaporation721.tgz Mar 20, 2019 - Replication Data for: CONUS Reservoir Evaporation Dataset (CRED) application/x-gzip-compressed - 6.8 MB - MD5: 269c4dbb2e120d3a77ad38f4333ba2d7 US Reservoir evaporation dataset (USRED)

Global Reservoir Surface Area Dataset (GRSAD)

May 15, 2020

Gao, Huilin; Zhao, Gang, 2019, "Global Reservoir Surface Area Dataset (GRSAD)", https://doi.org/10.18738/T8/DF80WG, Texas Data Repository, V3

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...

GRSAD_area_time_series_v2_1984-2018.tgz

May 15, 2020 - Global Reservoir Surface Area Dataset (GRSAD)

application/x-compressed - 65.5 MB - MD5: 3e515439912058d47f6ef916b0ddd018

README_GRSAD_area_time_series.txt

May 15, 2020 - Global Reservoir Surface Area Dataset (GRSAD)

Plain Text - 1.7 KB - MD5: 3a86412d067ca4598f76f8b92330ebd8

Replication Data for: CONUS Reservoir Evaporation Dataset (CRED)

Mar 20, 2019

Gao, Huilin, 2019, "Replication Data for: CONUS Reservoir Evaporation Dataset (CRED)", https://doi.org/10.18738/T8/S8CJ7X, Texas Data Repository, 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...

Reservoir_evaporation721.readme

Mar 20, 2019 - Replication Data for: CONUS Reservoir Evaporation Dataset (CRED)

Unknown - 1.6 KB - MD5: c6214edfd0f831cf631b154206bca7e5

Readme

Reservoir_evaporation721.tgz

Mar 20, 2019 - Replication Data for: CONUS Reservoir Evaporation Dataset (CRED)

application/x-gzip-compressed - 6.8 MB - MD5: 269c4dbb2e120d3a77ad38f4333ba2d7

US Reservoir evaporation dataset (USRED)

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