Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

MODIS data-based regional large-scale crop planting structure extraction method

A crop planting structure and extraction method technology, applied in the field of agricultural planting structure, can solve the problems of large classification errors of extraction methods, and achieve the effects of simple method, low cost, and reasonable partition boundaries

Inactive Publication Date: 2017-11-28
NORTHEAST INST OF GEOGRAPHY & AGRIECOLOGY C A S
View PDF2 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of large classification error in the extraction method of crop planting structure in the existing agricultural remote sensing monitoring, and to provide a method for extracting large-scale crop planting structure in a region based on MODIS data

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
  • MODIS data-based regional large-scale crop planting structure extraction method
  • MODIS data-based regional large-scale crop planting structure extraction method
  • MODIS data-based regional large-scale crop planting structure extraction method

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0031] Specific implementation mode one: the following combination Figure 1 to Figure 7 Illustrate this embodiment, the region large-scale crop planting structure extraction method based on MODIS data described in this embodiment, it comprises the following steps:

[0032] Step 1: Collect the annual image data of the large-scale monitoring area, and perform preprocessing, and perform image stitching on the image data at the same sampling time to obtain multiple complete images of the large-scale monitoring area;

[0033] Step 2: Crop the complete image according to the range of the corresponding cultivated land vector map, establish a complete time-series file of the extraction year, and obtain the NDVI time-series curve of each pixel;

[0034] Step 3: Smoothly reconstruct the trend of the NDVI time series curve, extract 11 phenological data for the whole year, and perform floating-point conversion on the 11 phenological data;

[0035] Step 4: Synthesize the 11 phenological ...

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 discloses an MODIS data-based regional large-scale crop planting structure extraction method, belongs to the technical field of agricultural planting structures, and aims to solve the problem of large classification error of an existing extraction method for a crop planting structure in agricultural remote sensing monitoring. The method comprises the steps of firstly collecting whole year image data of a large-scale monitoring region, and performing preprocessing to obtain multiple complete images of the large-scale monitoring regions; secondly performing cropping on the complete images, establishing and extracting a complete time sequence document of years, and obtaining an NDVI time sequence curve of each pixel; thirdly extracting 11 pieces of phenological data of the whole year, and performing floating point processing; fourthly extracting key information of each piece of the phenological data; fifthly obtaining multiple phonological partitions; sixthly performing multi-scale segmentation to obtain planting structure units; and finally performing sample-based classification extraction by adopting a nearest neighbor classification method to obtain the crop planting structure of the large-scale monitoring region. The method is used for extracting the crop planting structure.

Description

technical field [0001] The invention relates to a method for extracting regional large-scale crop planting structures based on MODIS data, and belongs to the technical field of agricultural planting structures. Background technique [0002] The planting structure of crops is of great significance to the efficient and standardized management of crops. The acquisition of remote sensing images of crops is a key link in the adjustment of planting structure. Accurately extracting crop planting structure on a large scale is related to the entire agricultural development. [0003] The continuous development of remote sensing technology has driven the continuous progress of agricultural remote sensing. At present, agricultural remote sensing is used in many fields such as crop yield estimation, crop area extraction, disaster monitoring, land cover classification, and research on the evolution of crop spatio-temporal patterns. It is an important basis for agricultural management. It ...

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
IPC IPC(8): G06K9/00G06K9/34G06K9/62
CPCG06V20/188G06V10/267G06F18/24147
Inventor 刘焕军闫岩王宗明郭栋
Owner NORTHEAST INST OF GEOGRAPHY & AGRIECOLOGY C A S
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com