Research Papers

Spatially explicit estimation of soil-water resources by coupling of an eco-hydrological model with remote sensing data in the Weihe River Basin of China

[+] Author Affiliations
Shudong Wang

State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, CAS, Beijing 100101, China

Yujuan Wang

State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, CAS, Beijing 100101, China

China-ASEAN Environmental Cooperation Center, Beijing 100029, China

Shengtian Yang, Mingcheng Wang

Beijing Normal University, State Key Laboratory of Remote Sensing Science, Beijing 100875, China

Lifu Zhang, Jia Liu

State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, CAS, Beijing 100101, China

J. Appl. Remote Sens. 8(1), 083653 (Apr 02, 2014). doi:10.1117/1.JRS.8.083653
History: Received December 4, 2013; Revised March 5, 2014; Accepted March 5, 2014
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Abstract.  Soil-water resources are key components for agriculture and have great potential. Strategic and significant efforts are, therefore, required to make full use of soil-water resources, especially in dry or semidry areas. We coupled a soil-water model with remotely sensed data and associated techniques to analyze the spatial-temporal dynamics of soil-water resources in the Weihe River Basin in China. The moderate-resolution imaging spectroradiometer (MODIS), Chinese meteorological satellite precipitation estimation data (FY-2), and global land data assimilation system (GLDAS) products were used for spatial land surface characteristics interpretation and model parameters derivation. The modeling results were compared and validated using data from a nearby observation site. The average soil-water resources of the Weihe River Basin vary between 40 and 100 mm during the simulation period from January to December, with a maximum of 99 mm appearing in August and a minimum of 38 mm in December. Forest land was characterized by large soil-water resources, with an average annual rate of 1094.7 mm. Farmland and grassland exhibited low values, with average annual rates of 986.7 and 893.5 mm, respectively. The results could be taken into consideration for soil-water resources management.

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Topics

Water

Citation

Shudong Wang ; Yujuan Wang ; Shengtian Yang ; Mingcheng Wang ; Lifu Zhang, et al.
"Spatially explicit estimation of soil-water resources by coupling of an eco-hydrological model with remote sensing data in the Weihe River Basin of China", J. Appl. Remote Sens. 8(1), 083653 (Apr 02, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.083653


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