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Remote sensing evaluation method for crop growing trend combined with characters of individuals and groups

An evaluation method and crop technology, applied in the field of remote sensing image processing, can solve problems such as unsolvable crops and difficult to spread to other areas, achieve comprehensive growth evaluation results, eliminate the impact of growth monitoring results, and reduce monitoring costs.

Inactive Publication Date: 2013-10-02
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

At the same time, these growth monitoring methods can only be applied in a small range after research, and are difficult to be extended to other regions, and cannot solve the impact of differences in crop phenology in different regions on monitoring results

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  • Remote sensing evaluation method for crop growing trend combined with characters of individuals and groups
  • Remote sensing evaluation method for crop growing trend combined with characters of individuals and groups
  • Remote sensing evaluation method for crop growing trend combined with characters of individuals and groups

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Embodiment Construction

[0032] 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.

[0033] Such as figure 1 As shown, the crop growth remote sensing evaluation method combining individual and group characteristics in this embodiment includes the following steps:

[0034] 1. Preprocessing the multi-source remote sensing data of ground spectral reflection

[0035] The remote sensing data used in this embodiment are mainly Moderate-resolution Imaging Spectroradiometer (MODIS for short) data and Medium Resolution Spectral Imager (MERSI for short) data, wherein MODIS data is used for Estimation of crop biomass and extraction of crop phenology information, MERIS data is used to estimate crop canopy nitrogen concentration.

[0036] (1) MODIS data preprocessing

[0037] MODIS data ha...

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Abstract

The invention provides a remote sensing evaluation method for crop growing trend combined with characters of individuals and groups. The method is based on crop individual plant characters and crop group characters. Crop biomass is taken as a monitoring index of the crop group growing trend. Crop canopy nitrogen concentration is taken as a monitoring index of the crop individual growing trend. The crop group index, the crop individual index and phenology are monitored through the remote sensing technology. The influences on monitoring of growing trend from the phenology difference are eliminated combined with the monitor of the phenology. Large-scale crop growing trend is evaluated quantificationally through remote sensing combined with the group characters and the individual characters.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a remote sensing evaluation method for crop growth status combined with individual and group characteristics. Background technique [0002] Large-scale monitoring of crop growth can provide decision-making basis for the formulation of agricultural policies and grain trade, and is also a necessary prerequisite for crop yield estimation. However, monitoring methods based on field reports are expensive, error-prone, and unable to provide real-time, spatially distributed crop growth information. Remote sensing technology can provide continuous surface information in time and space, making it the most effective means of monitoring crop growth in a wide range. Use remote sensing technology to monitor the growth of crops, including crop seedlings, growth status and changes, etc., from which crop yield information can be obtained in time. Remote sensing monitori...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/25
Inventor 蒙继华吴炳方
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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