Surface water, heat and carbon flux coupling estimation method based on remote sensing information

Abstract

The invention discloses a surface water, heat and carbon flux coupling estimation method based on remote sensing information. The method comprises the following steps: acquiring ground observation data; preprocessing ground data; preparing ground input data; calibrating model parameters; acquiring remote sensing data; acquiring meteorological data; acquiring other parameters; preprocessing regional data; preparing regional input data; calculating carbon flux; calculating the air hole conductivity; and calculating the latent heat flux and sensible heat flux of the earth surface. According to the invention, the photosynthetic rate estimation error is reduced; the stress effect of soil moisture on canopy conductivity is quantified by introducing a soil moisture limiting factor, so the canopyconductivity estimation error is reduced; the influence of soil moisture on soil evaporation is considered, the estimation of the influence of soil moisture on soil evaporation is realized by utilizing remote sensing information, and the operability and the applicability are improved; earth surface sensible heat flux can be estimated at the same time, and earth surface latent heat flux and sensible heat flux can be estimated at the same time through an energy balance equation.

Description

technical field [0001] The invention relates to a coupling estimation method of surface carbon and water flux, in particular to a coupling estimation method of surface water, heat and carbon flux based on remote sensing information, belonging to the technical field of remote sensing. Background technique [0002] The water heat exchange between the land and the atmosphere is an important physical process concerned in the fields of hydrology, meteorology and global change research. Carbon exchange between vegetation and the atmosphere is the core content of the ecosystem carbon cycle and also plays a key role in global climate change. Therefore, the study of surface sensible heat flux, latent heat flux, and carbon flux is extremely important for in-depth understanding of the mechanism of water cycle processes, the function of terrestrial ecosystems, the process of source and sink of carbon dioxide, and their relationship with climate change. Due to the significant improvemen...

AI Technical Summary

Problems solved by technology

The existing coupling methods do not distinguish the difference in photosynthetic rate under light and shade, do not consider the influence of soil moisture on canopy conductance, soil evaporation calculation does not directly introduce remote sensing information, which is cumbersome, and does not estimate surface sensible heat flux at the same time

[0003] The existing methods have the following defects: First, the difference in stomatal conductance of vegetation under light and shade is large, resulting in a large difference in photosynthesis. The existing method does not take this difference into account, thus causing errors in the estimation of photosynthetic rate; Second, soil water stress has a significant impact on vegetation stomatal conductance. The existing coupling methods do not consider the impact of soil moisture limitation, which brings errors to the calculation of stomatal conductance, which in turn brings errors to the estimation of vegetation transpiration; third, Existing methods for soil evaporation calculations require rainfall data or additional soil moisture estimation models, which are cumbersome; fourth, the existing methods do not have a calculation process for surface sensible heat flux, which is the energy between land and air. important process of exchange

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