Et Estimation Method for Different Crops in Irrigated Area Based on Canopy Temperature Difference and Remote Sensing Information

A technology for crops and irrigation areas, applied in the field of crop ET estimation, can solve problems such as failure to test and apply, and achieve the effect of simplifying the complicated process, improving reliability, and simplifying the model parameters.

Active Publication Date: 2022-02-25
CHINA INST OF WATER RESOURCES & HYDROPOWER RES
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since then, many scholars have used this method to verify and apply it, but they are all at the field scale and have not been tested and applied at a larger scale.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Et Estimation Method for Different Crops in Irrigated Area Based on Canopy Temperature Difference and Remote Sensing Information
  • Et Estimation Method for Different Crops in Irrigated Area Based on Canopy Temperature Difference and Remote Sensing Information
  • Et Estimation Method for Different Crops in Irrigated Area Based on Canopy Temperature Difference and Remote Sensing Information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0019] Such as figure 1 As shown, the present invention provides a method for estimating the evaporation (ET) of different crops in irrigation areas based on canopy air temperature difference and remote sensing information, which may further comprise the steps:

[0020] 1) Based on at least two years of typical farmland detailed experimental historical observation data, the characteristic parameters a and b of the S-I model are calibrated and determined to obtain a reliable and accurate calibrated S-I model;

[0021] 2) Using Landsat8 (NASA’s Landsat satellite) and MODIS (Moderate Resolution Imaging Spectrometer on EOS Satellite) remote sensing image data during the crop growth period in the irrigated area, using the enhanced spatiotemporal adaptive fusion algorithm (ESTARFM) to fuse Landsat8 and MODIS data, Obtain the LST (Land Surface Temperature) ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a method for estimating ET of different crops in irrigation areas based on canopy temperature difference and remote sensing information, the steps of which are: to calibrate and determine the characteristic parameters a and b of the S-I model based on at least two years of typical farmland detailed experimental historical observation data , to obtain a reliable and accurate calibrated S‑I model; using the Landsat and MODIS remote sensing image data during the crop growth period in the irrigated area, the enhanced spatiotemporal adaptive fusion algorithm is used to fuse the Landsat7 and MODIS data to obtain a daily 30m space during the crop growth period in the irrigated area resolution LST dataset; LST is the surface temperature; combined with the conventional observation data of the local meteorological bureau to obtain the distribution of field net radiation Rn and air temperature Ta in the region, using the calibrated S-I model, the LST dataset with high spatial resolution Based on , estimate the regional crop ET. The invention can quickly and accurately estimate regional crop ET, thereby providing timely and accurate data for agricultural irrigation management in irrigation areas.

Description

technical field [0001] The invention relates to a method for estimating crop ET, in particular to a method for estimating ET (evapotranspiration) of different crops in an irrigation area based on canopy temperature difference and remote sensing information. Background technique [0002] With the acceleration of the urbanization process in our country, the rural labor force gradually transfers to the secondary and tertiary industries in the city; the large loss of rural labor force makes it difficult to continue the traditional agricultural management mode of one household, and the intensive agricultural management has become an inevitable trend of modern agricultural development. Agricultural irrigation has gradually shifted from single, fragmented and small farmlands to contiguous, large farms. China is a country seriously short of water resources, and the contradiction between supply and demand of water resources is still the main bottleneck of sustainable development, and...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/02G06K9/62G06F30/20
CPCG06Q50/02G06F30/20G06F18/251
Inventor 蔡甲冰李益农陈鹤魏征张宝忠许迪龚时宏彭致功
Owner CHINA INST OF WATER RESOURCES & HYDROPOWER RES
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap