Soil Moisture Monitoring in Shendong Mining Area Based on MODIS Data
MA Baodong1, WU Lixin1,2, LIU Ying3, LIN Yawei3
1. Institute for Geo-informatics & Digital Mine Research, Northeastern University, Shenyang 110819, China;2. Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China;3. College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
Abstract:Soil moisture monitoring plays an important role in the environment management for the mining area. By taking the arid-to-semiarid Shendong mining area as an example, soil moisture was retrieved by using thermal inertia method. According to the synchronous field survey, in the densely covered area, the remotely sensed result is not significantly correlated with field data; contrarily, in the sparsely covered area, the correlation is significant and the remotely sensed result is well correlated with field data on the soil of 10-cm depth. The linear regression model was established to monitor the soil moisture in the mining area. Compared with the background, the soil of 10-cm depth has not got dry in the mining area during the last nine years. The primitive analysis indicates that making use of mine drainage and the measurement on environmental protection might be the main reason for that.
马保东;吴立新;刘英;林亚卫. 基于MODIS的神东矿区土壤湿度变化监测[J]. , 2011, 29(35): 45-49.
MA Baodong;WU Lixin;LIU Ying;LIN Yawei. Soil Moisture Monitoring in Shendong Mining Area Based on MODIS Data. , 2011, 29(35): 45-49.