A Coupling Estimation Method of Surface Water, Heat and Carbon Fluxes Based on Remote Sensing Information

Abstract

The invention discloses a coupling estimation method of surface water, heat and carbon flux based on remote sensing information, including acquisition of ground observation data; preprocessing of ground data; preparation of ground input data; calibration of model parameters; acquisition of remote sensing data; acquisition of meteorological data ; other parameter acquisition; regional data preprocessing; regional input data preparation; carbon flux calculation; pore conductance calculation; surface latent heat flux and sensible heat flux calculation and other processes. The invention reduces the photosynthetic rate estimation error; quantifies the coercive effect of soil moisture on the canopy conductance by introducing the soil moisture limiting factor, reduces the canopy conductance estimation error; considers the influence of soil moisture on soil evaporation, and utilizes remote sensing The information realizes the estimation of the impact of soil moisture on soil evaporation, which improves the operability and applicability; it can estimate the surface sensible heat flux at the same time, and realize the simultaneous estimation of the surface latent heat flux and sensible heat flux by using the 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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