A Soil Moisture Retrieval Method Combining Microwave and Infrared Remote Sensing Images
A soil moisture and remote sensing image technology, which is applied in the field of remote sensing image processing, can solve problems such as cloud influence, application limitations, and inability to monitor soil moisture, so as to improve inversion accuracy, improve monitoring efficiency, and facilitate commercial production.
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[0048] Specific embodiments of the present invention are described in detail below. It should be noted that the embodiments described here are for illustration only, and are not intended to limit the present invention:
[0049] 1. Calculate the comprehensive drought index of infrared remote sensing images. This example uses MODIS images with a resolution of 1km.
[0050] Compute the vertical drought index of the imagery, In the formula, R redis the atmospherically corrected reflectance in the red band; R nir is the atmospherically corrected reflectance in the near-infrared band; M is the slope of the soil line;
[0051] Calculate the vegetation water supply index of the image, VSWI=NDVI / T s , where T s is the canopy temperature of the vegetation, and NDVI is the normalized difference vegetation index.
[0052] PDI is suitable for areas with low vegetation coverage, and VSWI is suitable for areas with high vegetation coverage. With NDVI as the threshold, the above two in...
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