Calculation method for large spatial scale vegetation coverage by combining with unmanned aerial vehicle (UAV) image

Abstract

The invention discloses a calculation method for large spatial scale vegetation coverage by combining with an unmanned aerial vehicle (UAV) image. The calculation method comprises the following steps: carrying out atmospheric correction and geometrical correction on a remote sensing image, calculating NDVI (Normalized Difference Vegetation Index) and obtaining an effective region according to a predetermined threshold value; splicing UAV pictures and obtaining an orthoimage, registering satellite data subjected to geometrical correction with the spatial position, selecting a typical sample area from the UAV image, and interpreting proportions of all ground objects in the typical sample area by using unsupervised classification; randomly selecting one part of the sample area, and solving the reflectivity of all ground object end elements by using the proportions of all the ground objects in the sample area and the corresponding satellite remote sensing band reflectivity and combining with a least square method; solving the vegetation coverage of all pixels in the effective image area by using a spectral decomposition model and the reflectivity of all the ground object end element; correcting calculation results of the vegetation coverage by using data of a residual sample area. The core of the calculation method disclosed by the invention is based on a method of acquiring the end-element reflectivity of the UAV and a vegetation coverage correction model, and the calculation accuracy of the large spatial scale vegetation coverage can be effectively improved.

Description

technical field [0001] The invention belongs to the application field of remote sensing technology, and in particular relates to a method for calculating vegetation coverage on a large spatial scale combined with drone images. Background technique [0002] Vegetation coverage is the ratio of the vertical projected area of ​​vegetation on the ground to the total area of ​​the region. It is an important parameter to describe the vegetation coverage on the surface of the ground. The important basic data of land surface processes are widely used in agriculture, forestry, resource and environment management, land use, hydro-ecological process, soil erosion investigation, disaster risk monitoring, drought monitoring and other fields. Due to its large-scale observation capability, remote sensing technology has become an important means to obtain regional and even global vegetation coverage. After decades of development, the vegetation coverage estimation method using remote sensin...

AI Technical Summary

Problems solved by technology

[0011] Aiming at the problem of endmember selection in the hybrid pixel decomposition method, as well as the error problems caused by the complexity of vegetation types and image quality, the present invention provides a large-scale vegetation Coverage Calculation Method

Images