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A Remote Sensing Identification Method of Rapeseed Planting Area Based on Spectral Features

A technology of remote sensing identification and spectral features, applied in the field of remote sensing identification of rape planting areas, can solve problems such as high dependence on rape images during flowering, and achieve the effect of simple operation and reduced dependence.

Active Publication Date: 2021-04-23
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

[0006] In order to solve the defects of the existing optical remote sensing identification method of rape planting area, which is highly dependent on the image of rape flowering stage, the present invention creates a new technology based on the phenology and spectral characteristics of rapeseed, which can reduce the influence of image quality of flowering stage on the recognition accuracy of rapeseed method

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  • A Remote Sensing Identification Method of Rapeseed Planting Area Based on Spectral Features
  • A Remote Sensing Identification Method of Rapeseed Planting Area Based on Spectral Features
  • A Remote Sensing Identification Method of Rapeseed Planting Area Based on Spectral Features

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Embodiment Construction

[0031] In order to clearly illustrate the solutions in the present invention, preferred embodiments are given below, and the following descriptions are merely exemplary in nature and not intended to limit the application or use of the present disclosure.

[0032] In the following, Menyuan County, Qinghai Province is taken as the research target area, and the specific application of the method of the present invention is exemplified in conjunction with the accompanying drawings.

[0033] attached figure 1 According to the schematic flow chart of the optical remote sensing identification of rapeseed based on spectral features of the present invention, it specifically includes the following steps:

[0034] S1: Select Menyuan County, Qinghai Province as the target area, which is the main production area of ​​spring rapeseed. The range is between 100.86°E~102.59°E, 37.06°N~37.88°N. In 2017, the initial flowering time of spring rapeseed in this area is around July 5th, and the flo...

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Abstract

The invention discloses an optical remote sensing identification technology for rapeseed planting areas based on spectral characteristics, including: S1: defining the period from the initial flowering time of rapeseed to about 25 days after the date of flower fall as a suitable classification period for rapeseed; S2: for the classification period The Landsat series satellite albedo data in the study area were preprocessed to remove cloudy areas in the images; S3: Calculate the three spectral indices (NDVI, mNDWI and NRFIg) of all images in the classification period based on the albedo data; S4: Compute The three spectral indices set corresponding thresholds, segmented and combined to obtain rapeseed classification maps at different time points; S5: superimposed the rapeseed classification results at all time points within the classification period to obtain the final rapeseed identification area. The invention has simple calculation, does not need a large number of training samples, reduces the dependence on the availability of high-quality images of the rape flowering period, and provides a reliable method.

Description

technical field [0001] The invention relates to the technical field of agricultural remote sensing, and more particularly relates to a method for remote sensing identification of rapeseed planting areas based on spectral features. Background technique [0002] Rapeseed is the main economic crop and source of oil in the world, among which my country is one of the countries with the largest planting area and the highest output of rapeseed. The identification of rapeseed planting areas is the basis for monitoring the growth of rapeseed, predicting the yield of rapeseed and formulating relevant agricultural measures, which is of great significance to the import and export of rapeseed. [0003] At present, the main optical remote sensing recognition methods of rapeseed are divided into visual interpretation method of remote sensing image combined with field survey statistics, machine learning classification method, threshold classification method according to phenological charact...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/20G06K9/62
CPCG06V20/188G06V10/143G06F18/24
Inventor 张朝韩继冲骆玉川
Owner BEIJING NORMAL UNIVERSITY