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《Acta Ecologica Sinica》 2009-03
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Assessment of regional soil moisture status based on characteristics of surface temperature/vegetation index space

YANG Xi,WU Jian-Jun,YAN Feng,ZHANG JieState Key Laboratory of Earth Surface Processes and Resource Ecology(Beijing Normal University),Beijing 100875,ChinaKey Laboratory of Environmental Change and Natural Disaster,Ministry of Education,Beijing 100875,ChinaAcademy of Disaster Reduction and Emergency Management,Ministry of Civil Affairs & Ministry of Education,Beijing 100875,China  
Soil moisture has been considered as one of the most important indicators of soil conditions,and the measurement of soil moisture has been widely used to monitor the status of soil in the fields of hydrology,meteorology and ecology.Surface temperature/vegetation index space(Ts/VI)synthesizes the information from both visible and near-infrared bands of the processed remote sensing image products.Therefore,it can be used to assess the status of soil moisture.In this paper,the North China Plain was chosen as the study area.Sixteen MODIS/Terra images with relatively less cloud shadow contamination,including the surface reflectance daily L2G 500m and 1km product(MOD09GA)and the land surface temperature daily 1km product(MOD11A1),were used to establish the Ts/VI space,.In the establishment of the Ts/VI space,Linear regression functions were used to approximately fit the lower and upper boundaries of the the Ts/VI space so that the dry and wet edges of the space can be determined.Furthermore,the trend of changes in the parameters of the two edges was analyzed in the time series.Two surface temperature/vegetation index spaces were established based on the Ts/NDVI and the Ts/EVI,and the difference between the characteristics of the shapes in these two spaces were investigated.Based on the data obtained from the 107 soil moisture stations in the study area,the correlation between the Temperature Vegetation Dryness Index(TVDI)which was calculated from the Ts/NDVI and the Ts/EVI spaces and the soil moisture was developed and analyzed.The development of the correlation provides a way to use the TVDI to infer soil moisture status.In this paper,the TVDI calculated from Ts/EVI in the study area was used to assess the spatial distribution of soil moisture in the four different crop growth stages.Moreover,the relationship between the TVDI and rainfall was also investigated in those regions with rainfall data from the meteorological stations.The results show that TVDI can be successfully used to infer the near surface soil moisture status.The TVDI calculated from Ts/EVI has a better correlation with soil moisture comparing to the TVDI calculated from Ts/NDVI.It is also found that there is a similar trend in the change of the TVDI and rainfall in the time series.Continuous rainfall for a certain time is followed by a decline in the TVDI which indicates the increase of soil moisture,and vice versa.The analysis of the TVDI and soil moisture changes of the study area in the different crop growth stages shows that the TVDI space calculated from Ts/EVI can effectively reflect the spatial difference of soil moisture.Therefore,it provides a useful method to monitor and assess the status of regional soil moisture.
【Fund】: 国家自然科学基金资助项目(NSFC40601091);; 国家高技术研究与发展资助项目(2006AA12Z142);; 国家科技支撑计划资助项目(2006BAD20B02)
【CateGory Index】: TP79
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