Rice refined yield estimation method based on sar and optical remote sensing data
An optical remote sensing, refined technology, applied in character and pattern recognition, reflection/re-radiation of radio waves, instruments, etc., can solve the problems of pixel spectral aliasing, affecting the accuracy of production estimation models, small block area, etc. Accurate yield estimation results, avoiding vegetation index errors, and improving estimation accuracy
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 In the following, the 2019 rice income insurance project in a certain place in Sichuan is taken as an example to illustrate the rice remote sensing yield estimation method based on optical and SAR remote sensing data provided by the present invention.
 According to the overall requirements and technical indicators of the project, collect basic data, mainly including optical satellite data, radar satellite data and related vector data, and perform remote sensing data preprocessing. Use the Gaofen-2 optical remote sensing satellite data to generate a remote sensing image orthophoto map of the work area with a resolution better than 1m. Based on this, interpret the rice field pattern in the GIS software and add relevant attribute information to the attribute table; Using the processed Sentinel-1 synthetic aperture radar data, combined with the microwave scattering characteristics of the water body, to perform threshold segmentation to obtain the rice planting time; ...
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