River System and Yealy Erosion Dataset of the Exorheic Area of Mu Us Sandy Land (1992-2021)
YANG Fei1LU Huayu1WU Huijuan1WANG Jingjing1YANG Kang1YANG Long1LI Yiquan1
1 School of Geography and Ocean Science，Nanjing University，Nanjing 210023，China
DOI:10.3974/geodb.2024.06.04.V1
Published:Jun. 2024
Visitors：2117 Data Files Downloaded：19
Data Downloaded：14.60 MB Citations：
Key Words：
Mu Us sandy land,river network,water erosion,remote sensing stream burning
Abstract：
The exorheic area of Mu Us sandy fields include Wuding River, Jialu River, Tuwei River and Kushui River. Based on Sentinel-2 images from August 2021 and 2020 and 30 m COPDEM data, the authors extracted the rivers in Mu Us sandy land by remote sensing stream burning method, and delimited the boundary of water erosion in sandy land in each basin combining Google Earth images. Based on the 1-km monthly precipitation dataset (1901-2022) and the 1-km monthly potential evapotranspiration dataset (1901-2022) of China, the annual mean surface water erosion in Mu Us sandy land during 1992-2021 was estimated using the coupled water-energy balance equation based on the Budyko hypothesis. The dataset includes: (1) river system; (2) river length attribute data of different grades in each basin; (3) boundary data of water erosion of sandy land in watershed, including input area boundary and output area boundary; (4) annual mean of soil erosion. The dataset is archived in .shp and .xlsx formats, and consists of 41 data files with data size of 1.16 MB (Compressed into one file with 786 KB). The paper based on this dataset was published at Acta Geographica Sinica, Vol. 79, No. 3, 2024.
Foundation Item：
National Natural Science Foundation of China (42021001, 41920104005)
Data Citation：
YANG Fei, LU Huayu, WU Huijuan, WANG Jingjing, YANG Kang, YANG Long, LI Yiquan. River System and Yealy Erosion Dataset of the Exorheic Area of Mu Us Sandy Land (1992-2021)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.06.04.V1.
References：
[1] Wang, Z. F., Liu, J. G., Li, J. B., et al. Basin-scale high-resolution extraction of drainage networks using 10-m Sentinel-2 imagery [J]. Remote Sensing of Environment, 2021, 255: 112281. DOI: 10.1016/j.rse.2020.112281.
[2] Peng, S. Z., Ding, Y. X., Wen, Z. M., et al. Spatiotemporal change and trend analysis of potential evapotranspiration over the Loess Plateau of China during 2011-2100 [J]. Agricultural and Forest Meteorology, 2017, 233: 183-194.
[3] Peng, S. Z., Ding, Y. X., Liu, W. Z., et al. 1 km monthly temperature and precipitation dataset for China from 1901 to 2017 [J]. Earth System Science Data, 2019, 11: 1931-1946.
[4] Budyko, M. I. Climate and life [M]. New York: Academic Press, 1974.
[5] Yang, H. B., Yang, D. W., Lei, Z. D., et al. New analytical derivation of the mean annual water-energy balance equation [J]. Water Resources Research, 2008, 44(3): W03410. DOI: 10.1029/2007wr006135.
[6] Choudhury, B. J. Evaluation of an empirical equation for annual evaporation using field observations and results from a biophysical model [J]. Journal of Hydrology, 1999, 216: 99-110.
Data Product:
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MuUS_Rivers&SoilErosion_1992-2021.rar |
786.93KB |
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