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
CN110532967APending Publication Date: 2019-12-03INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI +1
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
Publication Date
2019-12-03

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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.
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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...

Claims

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