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High-resolution remote sensing estimation method for evapotranspiration of crops in arid region in growth season

A high-resolution, crop-growing technology, applied in computing, computer components, instruments, etc., that can solve unseen problems

Inactive Publication Date: 2019-12-20
FUZHOU UNIV
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  • Description
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Problems solved by technology

However, remote sensing provides instantaneous information, and the current research only extends to the daily scale, and how to extend daily evapotranspiration to crop growth seasons has become a difficult point in remote sensing applications, and no related research reports have been seen yet.

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  • High-resolution remote sensing estimation method for evapotranspiration of crops in arid region in growth season
  • High-resolution remote sensing estimation method for evapotranspiration of crops in arid region in growth season
  • High-resolution remote sensing estimation method for evapotranspiration of crops in arid region in growth season

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the drawings and embodiments.

[0044] Please refer to figure 1 , The present invention provides a method for high-resolution remote sensing estimation of evapotranspiration during crop growth season in arid regions, including the following steps:

[0045] Step S1: Obtain multi-temporal high-resolution remote sensing images of the crop growing season in the study area (at least 4 scenes), and obtain the daily average temperature (℃), precipitation (mm), relative humidity (%) and wind speed (m / s) Wait for conventional meteorological observation data, and collect DEM data in the study area;

[0046] Step S2: Extract crop planting information from multi-temporal high-resolution remote sensing images to obtain crop distribution data in the study area;

[0047] Step S3: Construct a SEBAL model based on the crop distribution data in the study area, conventional meteorological observation data and DEM data in t...

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Abstract

The invention relates to a high-resolution remote sensing estimation method for evapotranspiration of crops in an arid region in a growing season. The method comprises: calculating the evapotranspiration of the crops in the arid region in the growing season based on time sequence remote sensing data; estimating instantaneous evapotranspiration of crops by utilizing an SEBAL model based on the timesequence remote sensing data, and expanding the instantaneous evapotranspiration by utilizing a sine function method to obtain daily evapotranspiration; and further expanding the time scale of the daily evapotranspiration by combining the change rule of the crop growth season evapotranspiration to obtain the evapotranspiration of the crops in the whole growth season. According to the invention, aproblem that only daily-scale crop evapotranspiration estimation can be carried out based on a high-resolution remote sensing technology at present is solved. The method achieves the extension from the daily scale to the growth season scale, solves a problem of evapotranspiration remote sensing estimation in the growth season, and provides an effective method reference for the accurate obtainingof crop growth season evapotranspiration, scientific management of farmland irrigation, the precise estimation of crop yield, and the optimal configuration of water resources.

Description

Technical field [0001] The invention relates to the technical field of crop evapotranspiration estimation in arid areas based on remote sensing technology, and in particular to a high-resolution remote sensing estimation method for crop evapotranspiration in arid areas during the growing season. Background technique [0002] Timely and accurate acquisition of evapotranspiration during the growing season of crops can provide an effective reference for scientific management of farmland irrigation, accurate estimation of crop yields, and optimal allocation of water resources. [0003] Traditional methods for estimating and measuring evapotranspiration, such as hydrology, micrometeorology, plant physiology, and lysimeter, are mostly based on local regional scales, coupled with human and material constraints, and are difficult to apply to a larger area. The emergence of remote sensing technology, taking advantage of its temporal and spatial continuity and large-span characteristics, ove...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/02G06K9/00
CPCG06Q50/02G06V20/188
Inventor 汪小钦茶明星李娅丽陈芸芝
Owner FUZHOU UNIV
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