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Remote sensing quantitative assessment method of rapeseed yield loss under waterlogging stress based on satellite data

A quantitative evaluation and satellite data technology, applied in the interpretation of photos, etc., can solve the problems of yield loss caused by wet stains, increase the acquisition of high spatial resolution satellites, etc., to improve the accuracy of the model and ensure the availability.

Active Publication Date: 2020-05-22
ZHEJIANG UNIV
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Problems solved by technology

[0019] The launch of these high-spatial-resolution satellites has increased the possibility of obtaining high-spatial-resolution satellites, but so far, the application of these high-spatial-resolution satellites in agriculture remains to be further studied. There is no report on remote sensing quantitative assessment of rapeseed wet-soaked yield loss

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  • Remote sensing quantitative assessment method of rapeseed yield loss under waterlogging stress based on satellite data
  • Remote sensing quantitative assessment method of rapeseed yield loss under waterlogging stress based on satellite data
  • Remote sensing quantitative assessment method of rapeseed yield loss under waterlogging stress based on satellite data

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Embodiment Construction

[0047] The present invention will be further described below with reference to the specific drawings and implementation cases. The invention is a quantitative remote sensing evaluation method for yield loss of field-scale rape under the stress of wet flooding, and the specific calculation method includes the following steps:

[0048] Step 1: Carry out field trials of rapeseed wet damage at plot scale, including: plots where rapeseed is normally planted and plots where rapeseed is planted under wet flooding stress, and wet soiling stress is carried out at different developmental stages of rape;

[0049] Step 2: obtaining satellite remote sensing data of different time phases and high spatial resolution, and performing preprocessing, and resampling satellite image data of different spatial resolutions to obtain satellite image data of the same spatial resolution;

[0050] The preprocessing specifically includes radiometric calibration, geometric correction, and atmospheric corre...

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Abstract

The invention discloses a method for the remote sensing quantitative assessment of the yield loss of rapeseed under a waterlogging damage stress based on satellite data. The method comprises the following steps: carrying out plot-scale rapeseed waterlogging damage field trials to obtain ground rapeseed yield data of different varieties in different development stages under different waterlogging damage treatments; obtaining and preprocessing satellite image data with a high spatial resolution; calculating the rape waterlogging damage induced yield loss rate and the vegetation index change rateunder the waterlogging damage stress; analyzing the correlation coefficient of the rapeseed yield and the yield reduction rate to the vegetation index and the vegetation index change rate under the waterlogging damage stress; and establishing a model for the remote sensing quantitative estimation of the plot-scale rapeseed yield reduction under the waterlogging damage stress by using a multiple regression technology, and performing accuracy test. The method can be used to provide services for the accurate management of water and fertilizers in farmers' rapeseed fields and provide a basis forthe insurance company to develop disaster loss evaluation and loss assessment.

Description

technical field [0001] The invention relates to the technical field of optical remote sensing data processing, in particular to a satellite data-based quantitative remote sensing assessment method for rape yield loss under wet water stress. Background technique [0002] For a long time, due to the high spatial resolution satellites' strong ability to distinguish different objects, high spatial resolution, and accurate information, the high-resolution remote sensing satellite technology and its applications all involve national security, and are highly classified by the country. It is used to obtain the enemy's economic status, military intelligence, spatial geographic data, etc. It was not until 1999 that the United States successfully launched the first commercial high-resolution remote sensing satellite Ikonos, which opened a new era of high-spatial-resolution satellites (Jin Fei, 2013). The huge military advantages and economic benefits brought by high-spatial-resolution...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C11/04
CPCG01C11/04
Inventor 黄敬峰韩佳慧
Owner ZHEJIANG UNIV
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