Mine area vegetation carbon sink remote sensing inversion method of fine land utilization type

Abstract

The invention discloses a mine area vegetation carbon sink remote sensing inversion method for a fine land utilization type, and the method comprises the following steps: A, obtaining high-resolution image data, and carrying out the land utilization type classification through combining ground feature spectral curve features obtained by a high-spectral-resolution sensor; B, performing vegetation parameter inversion on the mining area image data by adopting a wave band operation mode, wherein vegetation parameters comprise a normalized vegetation index, a specific value vegetation index and vegetation coverage; C, dividing into a carbon sequestration area type by combining a land utilization type and a critical threshold value NDVIlim; and D, constructing a vegetation carbon sequestration parameter inversion model to perform inversion on the vegetation carbon sequestration area, and respectively obtaining the vegetation net primary productivity. According to the method, the land utilization types of the mining area are finely classified, the vegetation carbon sequestration capacity is partitioned, the light energy utilization rate model is constructed in combination with the remote sensing image and the ground actual measurement data, the precision degree of calculation of the vegetation carbon sequestration of the mining area is improved, and scientific data support can be provided for coal clean mining transformation and land reclamation decision making.

Description

technical field [0001] The invention relates to the fields of mining, ecology, remote sensing and geographic information, and in particular to a method for remote sensing inversion of vegetation carbon sinks in mining areas with fine land use types. Background technique [0002] Under the opportunities and challenges of global climate change, China strives to achieve the goals of "carbon peak" and "carbon neutrality". As an important field of carbon emission reduction, the coal industry is imperative to establish a carbon monitoring and evaluation method system. Vegetation carbon sink is an important part of the calculation of ecosystem carbon sink in mining areas. The current calculation methods are mainly ground field measurement and remote sensing image inversion. By setting up observation stations in the mining area and conducting on-the-spot investigations, and counting the ecological data such as leaf area index, total biomass, and net primary productivity of the veget...

AI Technical Summary

Problems solved by technology

To sum up, the existing technical methods cannot effectively and accurately calculate the vegetation carbon sink of the mining area ecosystem, and there are the following three problems: (1) The calculation process of the mining area vegetation carbon sink lacks a fine division of the land use types in the mining area, and cannot Evaluate the contribution of vegetation carbon sinks in different regions; (2) do not take into account the spatial differences in the calculation model parameters of remote sensing vegetation carbon sinks, and lack an inversion model for key parameters of remote sensing vegetation carbon sinks in mining areas; (3) adopt a unified remote sensing vegetation carbon sink in mining areas The carbon sink calculation method cannot reflect the accurate vegetation carbon sink of different land use types in the mining area

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