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| Soil Moisture Monitoring in Shendong Mining Area and Bi-parabola NDVI-Ts Space |
| LIU Ying1, WU Lixin2, MA Baodong3, LIN Yawei1 |
| 1. College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China;2. State Key Laboratory of Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;3. Institute for Geo-informatics & Digital Mine Research, Northeastern University, Shenyang 110004, China |
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Abstract: Combining environment and disaster monitor with analysis by using satellite remote sensing in Shendong mining area, the Normalized Difference Vegetation Index (NDVI) and land surface temperature (Ts) derived from MODIS/AQUA data of 1km and 500m resolution were applied to analyze the NDVI-Ts space. It is discovered that NDVI-Ts space is bi-parabola, comparing with the triangle space for traditional NDVI-Ts. By checking with filed investigation on soil moisture at different depth, it is found that the 1km resolution NDVI-Ts bi-parabola space is better than the others for reflecting the soil moisture at depth 0—5cm, while 500m resolution NDVI-Ts bi-parabola space is the best among three spaces for reflecting the soil moisture at depth 10cm. Based on the TVDI obtained from the NDVI-Ts bi-parabola space, the drought situation in Shendong mining area from Oct. 8, 2010 to Oct. 23 for 16d and the day on Oct. 8, 2010 is evaluated. And the spatial features of the drought situation in Shendong mining area are revealed.
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Received: 28 October 2011
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2011, Vol. 29 
