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Crop classification method based on sentinel No.1 RVI time sequence

A technology of time series and classification methods, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems that affect the effect of crop classification and the difficulty of constructing time series

Pending Publication Date: 2019-12-03
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI +1
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Problems solved by technology

With the continuous enrichment of remote sensing data sources, the construction of medium and high-resolution optical image time series has gradually become a hot spot. However, due to the influence of cloudy and rainy weather, it is difficult to construct a relatively complete time series, which affects the effect of crop classification.

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  • Crop classification method based on sentinel No.1 RVI time sequence
  • Crop classification method based on sentinel No.1 RVI time sequence

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Embodiment Construction

[0009] The present invention "a kind of crop classification method based on Sentinel No. 1 RVI time series" will be further described in conjunction with examples below, according to the implementation process (such as figure 1 shown), the detailed implementation details are as follows.

[0010] Step 1: Take Barton County, Kansas, USA as the experimental area. The main crops in the experimental area are corn, alfalfa, soybean, winter wheat and sorghum. Obtained the Sentinel-1 satellite IW mode observation data covering the experimental area from April to December 2018 (one period per month) to form a time series of remote sensing images.

[0011] Step 2: Extract RVI based on each period of VV-VH polarization data obtained in Step 1. The RVI calculation method is as follows:

[0012] RVI=σ VH / σ VV

[0013] Among them, σ VH Represents the backscattering coefficient of VH polarization, σ VV Represents the backscattering coefficient for VV polarization.

[0014] The RVI o...

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Abstract

The invention discloses a crop classification method based on a sentinel No.1 RVI time sequence. The method comprises the following steps: 1) obtaining VV-VH polarization data in an IW mode of a sentinel No.1 satellite, and constructing a remote sensing image time sequence covering the growth cycle of crops; 2) constructing an RVI index (the formula is RVI = sigma VH / sigma VV) based on the VV-VH polarization data of each period, and then performing integration to form an RVI time sequence; 3) obtaining crop sample data through field investigation or historical maps, and 4) classifying crops ina research area by taking the RVI time sequence and the sample data as input and adopting a random forest classifier to form a crop classification result map.

Description

technical field [0001] The present invention is a crop remote sensing fine classification technology, which proposes a crop classification method based on the Sentinel 1 RVI time series, fully utilizes the all-weather characteristics of radar data, and the RVI time series can reflect the growth characteristics of different crops, effectively improving the quality of crops. The accuracy of fine classification provides a new way for fine classification of crops. Background technique [0002] Timely, accurate monitoring and efficient management of crops are key to ensuring food supplies for the global population. Remote sensing, as a rapid and large-scale acquisition of surface information technology, has been widely used in crop classification. Compared with traditional crop monitoring methods, remote sensing is less expensive and more efficient. [0003] There are various types of crops, including rice, corn, millet, etc., and the planting structure is complex, including con...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/188G06F18/24323
Inventor 占玉林顾行发余涛刘艳杨健王春梅李娟臧文乾
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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