Check patentability & draft patents in minutes with Patsnap Eureka AI!

Crop rotation and fallow remote sensing monitoring method and device for northeast cold regions

A technology for remote sensing monitoring and crops, which can be used in measurement devices, scattering characteristic measurements, instruments, etc., and can solve the problems of complex crop rotation and fallow monitoring in the cold and cool areas of Northeast China.

Active Publication Date: 2020-04-14
中科禾信遥感科技(苏州)有限公司 +1
View PDF10 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The pilot cycle of crop rotation and fallow is three years. Interannual crop rotation and fallow are implemented, and the same land can be dynamically adjusted, which makes the monitoring of crop rotation and fallow in the cold and cool regions of Northeast China more complicated.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Crop rotation and fallow remote sensing monitoring method and device for northeast cold regions
  • Crop rotation and fallow remote sensing monitoring method and device for northeast cold regions
  • Crop rotation and fallow remote sensing monitoring method and device for northeast cold regions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] This embodiment provides a remote sensing monitoring method for crop rotation and fallow in the cold and cool regions of Northeast China, such as figure 1 shown, including the following steps:

[0089] S1: Obtain the remote sensing images of the monitoring area in the Nth year and the N-1th year;

[0090]The remote sensing images include blue light, green light, red light, near-infrared, three red-edge bands, and short-wave infrared bands, such as the Sentinel 2 image, and perform band synthesis, atmospheric correction, geometric correction, cropping, mosaic and other processing on the remote sensing image , remote sensing images include images from May to September, covering the entire growth period of soybeans, rice, corn and other crops in the study area;

[0091] S2: Respectively identify the crop type or whether it is a fallow land for each pixel on the remote sensing images of the Nth year and the N-1th year, and extract the land plots that only plant a single cr...

Embodiment 2

[0152] In this embodiment, there is also provided a remote sensing monitoring device for crop rotation and fallow facing the cold and cool area in Northeast China, including:

[0153] Image acquisition module: used to acquire remote sensing images of the monitoring area in the Nth year and the N-1th year; the remote sensing images include blue light, green light, red light, near-infrared, 3 red edge bands, short-wave infrared bands, remote sensing The image time includes images from May to September;

[0154] Lot type identification module: used to identify the crop type of each pixel on the remote sensing images of the Nth year and the N-1th year or whether it is a fallow land, and extract the plots that only plant a single crop according to the same crop type;

[0155] Result Judgment Module: Used to judge whether the plot is crop rotation or fallow. If the recognition results of the same plot on the remote sensing images of the Nth year and the N-1th year are two different ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a crop rotation and fallow remote sensing monitoring method and device for northeast cold regions. A normalized differential vegetation index is used for distinguishing vegetation from non-vegetation, a normalized building index is used for distinguishing buildings and fallow lands, a red edge position index is used for extracting corn, a normalized rice index is used forextracting rice, and a greenness index is used for distinguishing soybeans and beet. The method and device are high in identification accuracy, and can accurately identify the crops; and by comparingthe crop types of the two years, whether crop rotation and fallow are carried out can be identified effectively.

Description

technical field [0001] The invention relates to the field of remote sensing monitoring of crops, in particular to a remote sensing monitoring method and device for crop rotation and fallow in the cold and cool regions of Northeast China. Background technique [0002] The adjustment of crop planting structure will be a national policy for the sustainable development of China's agricultural production. Crop rotation and fallow is the strategic layout of "storing grain in the ground and storing grain in technology", which has far-reaching significance for ensuring my country's food security and green agricultural transformation. Crop rotation refers to the method of planting different crops sequentially in different years on the same field or in the form of multiple cropping. Fallow refers to the way that arable land is only tilled but not cultivated or not tilled and not cultivated in the season when crops can be planted. Crop rotation and fallow are divided into 4 major regi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/17G01N21/55G06K9/00
CPCG01N21/17G01N21/55G01N2021/1793G06V20/188
Inventor 徐飞飞陆洲
Owner 中科禾信遥感科技(苏州)有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More