Remote sensing inversion method and system for crop evapotranspiration based on the combination of GF-1 and Landsat-8

Abstract

The invention provides a remote sensing inversion method and a system for crop evapotranspiration based on the combination of GF-1 and Landsat-8. The method comprises the following steps of: obtainingthe GF-1 data and the Landsat-8 data of a target area to invert surface key parameters base on the GF-1 data and the Landsat-8 data; using the surface energy balance model SEBAL to obtain uniform heat exchange data between the surface and the atmosphere, based on the surface key parameters; using the energy balance model TSEB for decomposition to obtain vegetation canopy heat flux exchange data and soil heat flux exchange data, based on heat flux exchange data; calculating the instantaneous evapotranspiration according to the vegetation canopy heat flux exchange data and the soil heat flux exchange data; and converting the instantaneous evapotranspiration to a time-day scale to obtain a daily evapotranspiration of the target area. According to the remote sensing inversion method and the system for crop evapotranspiration based on the combination of GF-1 and Landsat-8, high-precision ET results can be inverted by combining GF-1 data with Landsat-8 data, and combining multi-source sensor data with different spatial resolutions.

Description

technical field [0001] The invention relates to the technical field of evapotranspiration inversion, in particular to a crop evapotranspiration remote sensing inversion method and system based on the combination of GF-1 and Landsat-8. Background technique [0002] Evapotranspiration (evapotranspiration, ET) is an important part of the water cycle in the earth-atmosphere system, and it is also the most difficult to estimate in the surface energy cycle, water cycle and carbon cycle. In arid and semi-arid areas, evapotranspiration accounts for more than 80% of the total water consumption in farmland ecosystems. Therefore, quantitative calculation of evapotranspiration is of great significance for implementing agricultural hydrological cycle simulations and guiding agricultural water management. Especially in irrigation areas with complex and fragmented planting structures, it has a greater effect. [0003] The development of remote sensing technology has made it possible to es...

AI Technical Summary

Problems solved by technology

With the rapid development of earth observation technology, more and more remote sensing data sources are available, and the existing embodiments are still generally limited to the inversion of ET based on a single sensor data

However, affected by uncertain factors such as clouds, rain, fog / haze, different sensor parameters and spatial resolutions, revisit cycles, and complex land surfaces during image acquisition, a single sensor can obtain less data during the entire growth period of crops. The spatio-temporal continuity is poor, resulting in a large gap between the regional adaptability of its ET inversion results and the commercialization of precision agricultural monitoring

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