The invention belongs to the technical field of
water quality remote sensing monitoring, and particularly relates to a
sky-ground
remote sensing integrated lake and
reservoir water quality parameter quantitative inversion method. Qualitative inversion is carried out on
water quality parameters through medium-
high resolution satellite remote sensing images, and ground sampling points are reasonably arranged. And carrying out ground and air collaborative operation, including on-site
water body sampling and unmanned aerial vehicle flight, so as to ensure the consistency of sampled
water quality parameters and unmanned aerial vehicle image spectral characteristics. The sampling point
water body sample is sent to a laboratory to be tested, and measured data are obtained. An unmanned aerial vehicle image is subjected to preprocessing including splicing and
radiation correction, and a
reflectivity image map is obtained. Water vector data are extracted by using an unmanned aerial vehicle image, a remote sensing quantitative inversion model of water quality parameters is established, and the model is analyzed and optimized through an optimal
wave band combination. And in combination with the unmanned aerial vehicle image, the inversion model and the
water body vector data, obtaining a water quality parameter quantitative inversion result and
spatial distribution characteristics in the lake and reservoir range. The method can improve ground sampling rationality and time coordination of lake and
reservoir water quality monitoring, and supports long-term high-precision
dynamic monitoring.