Crop biomass remote sensing estimation method considering water stress

A crop and biomass technology, applied in the field of agricultural remote sensing, can solve the problem that wheat biomass does not consider water stress factors, etc., and achieve the effect of strong inter-annual expansion, strong regional expansion, and strong mechanism
CN106203673AInactive Publication Date: 2016-12-07BEIJING RES CENT FOR INFORMATION TECH & AGRI
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Patent Information

Authority / Receiving Office
CN Ā· China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING RES CENT FOR INFORMATION TECH & AGRI
Publication Date
2016-12-07
Estimated Expiration
Not applicable Ā· inactive patent

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Abstract

The invention provides a crop biomass remote sensing estimation method considering water stress. The method comprises the steps of S1: obtaining optical remote sensing data with a near-infrared waveband and a shortwave infrared waveband in a target region; S2: performing atmospheric correction processing on the obtained optical remote sensing data to obtain real surface reflectivity data of the target region; S3: extracting a planting space distribution region of crop; S4: determining a normalized vegetation index and a time integral value of the crop; S5: obtaining a water stress coefficient of the crop; S6: obtaining a biomass conversion coefficient of the crop; and S7: building a biomass estimation model of the crop. The method is in favor of estimating the biomasses of the crop in different growth periods more accurately in regional scale, and has important application values in the aspects of further realizing crop growth trend monitoring, yield estimation, drought monitoring, drought loss assessment and the like.
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Description

Technical field

[0001] The invention relates to the application field of agricultural remote sensing, in particular to a remote sensing estimation method of crop biomass considering water stress. Background technique

[0002] Wheat biomass is an important group indicator that reflects the growth of wheat and plays an important role in the formation of wheat yield. The conventional method for measuring biomass is to take wheat plants per unit area, dry and weigh them. This method requires destructive sampling and weighing steps, which is time-consuming and labor-intensive. Remote sensing has the advantages of fast, dynamic, non-destructive, and large-scale. The use of remote sensing spectral information to estimate wheat biomass instead of ground-based measurement methods is gradually becoming a new method for obtaining wheat biomass.

[0003] In recent years, a large number of basic theoretical and applied researches on the estimation of biomass through remote sensing data have be...

Claims

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