Retrieving on Monthly Soil Moisture in Liaoning Province Based on NDVI-LST Module

doi:10.3969/j.issn.1000-6362.2017.11.004

Abstract

Abstract: To verify the application of NDVI(Normalized Difference Vegetation Index) and LST(Land surface Temperature)module in Liaoning Province, the NDVI and LST data from MODIS May to August in 2015 were used to establish the module and used as the slope from the module fitting curves to compute the soil moisture. The results showed that: (1) the module of NDIV/LST had the same feature with the theory module which was a triangle module, the soil moisture computed from this module had high correlation coefficient with the measured soil moisture values. The values of correlation coefficient were all above 0.8 except for August, and the spatial distribution of computed soil moisture was same with the measured values except for August. (2) The result of computed soil moisture in August was not ideal, the correlation coefficient was only 0.48, which was possibly due to NDVI had a delayed reflection of July precipitation and the influence of August drought in Liaoning province. Overall, the result form retried NDVI-LST module was ideal. It could provide a new idea for the quick retrieval of soil moisture in Liaoning and provide the decision making for disaster prevention and mitigation.

Key words: MODIS, NDVI-LST module, Soil moisture, Feature space

ZHANG Qi-lin，YIN Hong，JI Rui-peng，WU Jin-wen，ZHANG Hai-xu. Retrieving on Monthly Soil Moisture in Liaoning Province Based on NDVI-LST Module[J]. Chinese Journal of Agrometeorology, 2017, 38(11): 720-728.

References

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