Evaluation of the Visible and Shortwave Infrared Drought Index in China

Ning Zhang; Yang Hong; Qiming Qin; Lin Zhu

doi:10.1007/s13753-013-0008-8

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Article Navigation > International Journal of Disaster Risk Science > 2013 > 4(2): 68-76

Ning Zhang, Yang Hong, Qiming Qin, Lin Zhu. Evaluation of the Visible and Shortwave Infrared Drought Index in China[J]. International Journal of Disaster Risk Science, 2013, 4(2): 68-76. doi: 10.1007/s13753-013-0008-8

Citation:

Ning Zhang, Yang Hong, Qiming Qin, Lin Zhu. Evaluation of the Visible and Shortwave Infrared Drought Index in China[J]. International Journal of Disaster Risk Science, 2013, 4(2): 68-76. doi: 10.1007/s13753-013-0008-8

Citation:

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Evaluation of the Visible and Shortwave Infrared Drought Index in China

doi: 10.1007/s13753-013-0008-8

Ning Zhang^1,2,
Yang Hong²,
Qiming Qin^{1
,
,},
Lin Zhu³

1 Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China;
2 School of Civil Engineering and Environmental Sciences, University of Oklahoma, OK 73072, USA;
3 National Satellite Meteorological Center of China Meteorological Administration, Beijing 100081, China

Funds:

The authors appreciate the kind financial support of the National Natural Science Foundation of China (41230747, 41071221, 41201331) and the National Key Technology R&D Program in the 12th Five-Year Plan of China (2012BAH29B03).

Available Online: 2021-04-26

Abstract

Abstract

In this article, the performance of the Visible and Shortwave infrared Drought Index (VSDI), a drought index recently developed and validated in Oklahoma, United States, is further explored and validated in China. The in-situ measured soil moisture from 585 weather stations across China are used as ground-truth data, and five commonly used drought indices are compared with VSDI for surface drought monitoring. The results reveal that VSDI is robust and reliable in the estimation of surface dryness—it has the highest correlation with soil moisture among the six indices when computed using both the original and cloud removed data. All six indices show the highest correlation with soil moisture at the 10 cm layer and the averaged 10–50 cm layer. The spatiotemporal patterns of surface moisture indicated by the MODIS-based VSDI are further compared with the precipitation-based drought maps and the Global Land Data Assimilation System (GLDAS) simulated surface soil moisture maps over five provinces located in the Middle-Lower Yangtze Plain of China. The results indicate that despite the difference between the spatial and temporal resolutions of the three products, the VSDI maps still show good agreement with the other two drought products through the rapidly alternating drought and flood events in 2011 in this region. Therefore, VSDI can be used as an effective surface wetness indicator at both the provincial and the national scales in China.
- China,
- drought map,
- drought monitoring,
- optical remote sensing,
- soil moisture,
- VSDI

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References(39)

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