A method for spatial remote sensing estimation of high soil organic carbon density in desertified areas

Abstract

The invention discloses a method for high spatial remote sensing estimation of soil organic carbon density in desertification areas. By optimizing the main model parameters in the soil organic carbon density estimation process, the advantages of high spatial resolution of GF-1WFV data and high spatial resolution of MODIS data are combined. The advantage of temporal resolution enables high spatial (16m) and high-precision estimation of soil organic carbon density in desertified areas; and the use of remote sensing technology can better solve the problem of extrapolation of the soil organic carbon density scale, enabling it to be more precise. Reflecting the spatial heterogeneity of soil organic carbon density distribution in sandy land, it provides the possibility to carry out long-term quantitative estimation of multi-scale soil respiration, and then provides scientific data reference for the monitoring and evaluation of land degradation in desertified areas and the implementation of desertification control projects And improve the application ability of domestic remote sensing data.

Description

technical field [0001] The invention relates to a method for high spatial remote sensing estimation of soil organic carbon density in desertification areas. Background technique [0002] At present, the phenomenon of global warming is becoming more and more prominent, and the resulting climate change and its impact have attracted more and more international attention, and the closely related global and regional carbon cycle research has become a global change and macro-ecological One of the core research contents of the study. More than two-thirds of the carbon in terrestrial ecosystems is stored in soil. Soil respiration is the main way for terrestrial ecosystems to export carbon to the atmosphere, and is an important part of the carbon cycle of terrestrial ecosystems. It is estimated that the annual carbon flux released by soil respiration to the atmosphere in the global terrestrial ecosystem can reach (68±4)-100Pg C, which is about 11 times the carbon emission of fossil ...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a method suitable for high spatial remote sensing estimation of soil organic carbon density in semi-arid desertification areas, aiming to take advantage of the high spatial resolution of GF-1 WFV data and the high time resolution of MODIS data By optimizing the relevant carbon cycle model parameters, the remote sensing estimation of soil organic carbon density in desertified areas with high temporal and spatial resolution can be realized; in traditional estimation methods, the spatial scale is large, and it is difficult to accurately reflect the spatial distribution characteristics of soil organic carbon density. Model parameters are often replaced by empirical constants, which cannot adapt to the characteristics of vegetation growth and climatic conditions in the study area, and the estimation accuracy is insufficient

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