A fine land uses type of mining area vegetation carbon exchange remote sensing method

Abstract

The invention discloses a remote sensing inversion method for mining vegetation carbon sinks of fine land use types. The method is as follows: A. Acquire high-resolution image data, and combine land feature spectral curve features obtained by high-spectral resolution sensors to perform land use types Classification; B. Use the band operation method to invert the vegetation parameters of the mining area image data. The vegetation parameters include normalized difference vegetation index, ratio vegetation index, and vegetation coverage; C. Combine land use type and critical threshold NDVI lim Divided into carbon sequestration area types; D. Construct the vegetation carbon sequestration parameter inversion model to invert the vegetation carbon sequestration area, and obtain the net primary productivity of vegetation respectively. The invention builds a light energy utilization rate model by finely classifying the land use types in the mining area and zoning the carbon sequestration capacity of the vegetation in combination with remote sensing images and ground actual measurement data, which improves the accuracy of the calculation of the carbon sink of the mining area vegetation, and can contribute to the transformation of coal clean mining and land conservation. Reclamation decision-making provides scientific data support.

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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