Crop maturation stage remote sensing prediction method based on multi-source remote sensing data

A technology for remote sensing data and prediction methods, which is applied in the field of remote sensing image processing to achieve the effects of ensuring popularization and application, reducing costs, and high spatial resolution.

Inactive Publication Date: 2013-10-09
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

However, few scholars at home and abroad use satellite remote sensing technology to carr

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  • Crop maturation stage remote sensing prediction method based on multi-source remote sensing data
  • Crop maturation stage remote sensing prediction method based on multi-source remote sensing data
  • Crop maturation stage remote sensing prediction method based on multi-source remote sensing data

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Embodiment Construction

[0035] Embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but should not be used to limit the scope of the present invention.

[0036] Such as figure 1 As shown, the remote sensing prediction method of crop maturity based on multi-source remote sensing data includes the following steps:

[0037] 1. Preprocessing the multi-source remote sensing data of ground spectral reflection

[0038] According to the crop phenology period and combined with the ground observation data, the remote sensing data of the monitoring area are obtained 30 days before the crops in the monitoring area are mature, such as figure 2 As shown, the remote sensing data obtained include four types, which are from the moderate-resolution imaging spectro-radiometer (MODIS for short), the medium-resolution imaging spectrometer (MERSI for short), the envi...

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Abstract

The invention provides a crop maturation stage remote sensing prediction method based on multi-source remote sensing data. The method comprises the steps that high temporal-spatial resolution remote sensing data are generated through the multi-source remote sensing data in a blended mode so that requirements for cropland dimension carrying-out dynamic monitoring of crop maturation stage prediction can be met; then, according to the dynamic change law of moisture content and chlorophyll content of different parts of maturation stage plants of crops, digital expression of the change law is formed. On the basis of the coupling method of the change law of biochemical parameters of the crops and biochemical parameters of the crops of remote sensing inversion, the moisture content and the chlorophyll content, obtained in a remote sensing mode, of crop canopies are combined to the change law of the biochemical parameters of maturation near stages of the crops, and the crop maturation stage remote sensing prediction method is formed. By means of remote sensing prediction of maturation stages of the crops, the application range of remote sensing in the accurate agricultural field is further extended, and the newly added technique of remote sensing application in the agricultural field is excavated.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a remote sensing prediction method for crop maturity based on multi-source remote sensing data. Background technique [0002] Precision agriculture is based on the spatial differences of farmland crops and the environment, and obtains farmland information of different units in the farmland through various technical means, and uses variable technology to optimize farmland management to achieve refined and accurate agricultural management in the production process. management system. Precision farming is an inevitable result of the development of modern agriculture, and its purpose is to increase productivity, optimize harvest and protect the environment. Optimizing crop harvesting is an important part of precision agriculture. Crop harvesting time has an important impact on crop yield and quality. Reasonable prediction of crop harvesting time will help imp...

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Application Information

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IPC IPC(8): G06Q50/02G06T5/50
Inventor 蒙继华吴炳方
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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