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Winter wheat extraction method based on NDVI (normalized difference vegetation index) time series curve integral

A technology of time series curves and extraction methods, which is applied in the directions of instruments, character and pattern recognition, and computer components, etc. It can solve the problems of fragmented plots, low spatial resolution of images, and limited recognition accuracy of winter wheat, achieving high extraction accuracy, Realize the effect of automatic extraction

Active Publication Date: 2015-09-30
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

At present, the more popular method is based on the NDVI time series data of MODIS and NOAA / AVHRR. However, due to the low spatial resolution of the images, the complex and diverse types of crops planted in my country, and the relatively fragmented land plots, only a few pixels are generated by a single field. Composition of objects, the recognition accuracy of winter wheat is limited

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  • Winter wheat extraction method based on NDVI (normalized difference vegetation index) time series curve integral
  • Winter wheat extraction method based on NDVI (normalized difference vegetation index) time series curve integral
  • Winter wheat extraction method based on NDVI (normalized difference vegetation index) time series curve integral

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Embodiment Construction

[0018] Below in conjunction with example the present invention will be further described.

[0019] Step 1): Obtain GF-1 WFV data in the growth cycle of winter wheat, and construct NDVI time series; the present invention takes the southern part of Tangshan City, Hebei Province as the experimental area, and obtained the complete growth of winter wheat from November 2013 to June 2014 The periodic GF-1 WFV data consisted of 9 scenes (see Table 1). After radiation calibration, atmospheric correction, geometric correction, etc., the NDVI was extracted and the NDVI time series was constructed to achieve continuous observation of the critical period of crop growth and development. Among them, NDVI is calculated by using the red band and near-infrared band of GF-1 WFV data through formula (1).

[0020] (1)

[0021] In the formula: is the reflectivity in the near-infrared band, is the reflectance in the red band.

[0022] Table 1 GF-1 WFV images

[0023] From the NDVI curves o...

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Abstract

The invention discloses a winter wheat extraction method based on NDVI (normalized difference vegetation index) time series curve integral. The method is based on a WFV (wide field of view) camera carried by a GF-1 satellite, an NDVI time series covering the winter wheat growth cycle is adopted, the characteristic that an NDVI curve in the winter wheat growth cycle is higher, that is, the integral value of an NDVI curve chart of winter wheat along with time is higher than those of other crops, is fully used, automatic and high-precision identification of the winter wheat is realized on the basis of a curve integral method, the operation process is simple, and the effect is significant.

Description

technical field [0001] The present invention is a winter wheat remote sensing recognition technology, and proposes a winter wheat extraction method based on NDVI time series curve integration, which makes full use of the significant difference between the NDVI time series in the growth cycle of winter wheat and other crops, and realizes high-precision extraction of winter wheat. Background technique [0002] Wheat is one of the main grains in my country, and the output of wheat is directly related to national food security and social stability. Wheat is divided into winter wheat and spring wheat, and winter wheat is mainly planted in my country. Timely and accurate extraction of winter wheat planting information is the basis for obtaining winter wheat planting area and forecasting yield. With the continuous development of remote sensing platforms and the continuous improvement of image resolution, remote sensing technology has been widely used in the field of wheat monitori...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/188
Inventor 占玉林杨闫君顾行发余涛孟庆岩牛铮
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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