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has been cited by the following article:

• TITLE: Retrieving Soil Moisture in Hebei by Using Temperature Vegetation Dryness Index

  AUTHORS: Fei Mao, Lei Han

  KEYWORDS: Remote Sensing, Inversion, Temperature Vegetation Dryness Index

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.5 No.8, July 21, 2017

  ABSTRACT: The temperature-vegetation index space coupled with information of surface temperature and vegetation, is an important method to realize soil moisture estimation and agricultural drought monitoring. In order to estimate the soil moisture in the study area, we collected soil relative humidity of Agricultural meteorological station and downloaded Moderate Resolution Imaging Spectrometer (MODIS) image data. Then, the temperature vegetation dryness index was calculated based on the MODIS Normalized difference vegetation index (NDVI) and land surface temperature (LST). A correlation analysis of TVDI and soil relative humidity at depth of 10 cm was carried out and an empirical model of moisture estimation was established. Finally, another set of data was used to validate the accuracy of model. The results show that the TVDI method can be used to achieve the soil moisture in the study area. The empirical model has certain universality in the study area, and obtains a high accuracy of soil moisture estimation with an R2 of 0.374 and RMSE of 11.73%.