A large-scale crop phenology extraction method based on morphological model method

A morphological model and extraction method technology, applied in the field of agricultural remote sensing, can solve the problems of small application scale, low accuracy, and poor versatility, and achieve the effect of reducing local fluctuations and improving extraction accuracy

Active Publication Date: 2022-07-15
ZHEJIANG UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems existing in the background technology, the present invention proposes a large-scale crop phenology extraction method based on the morphological model method, using satellite remote sensing data to establish a vegetation index time series curve, using the morphological model method to perform curve fitting, and combining ground observation data , calculate the phenology extraction value according to the optimal fitting scaling parameters, which solves the limitations of the current remote sensing crop phenology extraction application scale, low accuracy, and poor versatility

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
  • A large-scale crop phenology extraction method based on morphological model method
  • A large-scale crop phenology extraction method based on morphological model method
  • A large-scale crop phenology extraction method based on morphological model method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples are only used to explain the present invention, and are not used to limit the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.

[0046] The effect of large-scale phenological extraction is affected by factors such as the geographical environment of the local geographical area and the growth characteristics of the researched crops. The local geographic area of ​​this example is the northeast region of my country, and the research crop is spring maize. In this example, the four key phenology of three-leaf stage, heading stage, milk maturity stage and heading stage of spring maize in northeast my country are analyzed by the morphological model method. phenolo...

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 a large-scale crop phenology extraction method based on a morphological model method. Obtain the multi-year vegetation index time series curve in the local geographical area; use the double logistic function fitting method to smoothly fit the vegetation index time series curve; use the reference curve and reference point of the agricultural gas station to establish a morphological model; use transformation to fit the morphological model; use The optimal scaling parameter is calculated to obtain the extraction value of the phenological period in the local geographical area. The method of the invention utilizes the macroscopic characteristics of the curve, can reduce the influence of local fluctuation and noise of the curve, and has better extraction accuracy; and can simultaneously extract each phenological period of the crop, without setting different metric standards, and can Applied to the extraction of large-scale crop phenology.

Description

technical field [0001] The invention relates to the field of agricultural remote sensing, in particular to a large-scale crop phenology extraction method based on a morphological model method. Background technique [0002] Agricultural production is the cornerstone of human society, and extensive and reliable agricultural information is an important basis for ensuring regional and global food security. The phenology of crops is reflected in the seasonal changes in their physiological characteristics and their physiological responses to environmental conditions with growth, which can reflect the impact of climate change on agro-ecosystems. Crop phenological information can provide important decision-making information for crop irrigation scheduling and fertilization management; accurate phenological period is also an important input for accurate crop yield prediction models; in addition, phenological period is also an important basis for remote sensing crop identification. ...

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 Patents(China)
IPC IPC(8): G06V20/10G06Q10/06G06T11/20
CPCG06Q10/06393G06T11/203G06V20/188G06V10/60G06V10/764G06V10/7715G06V10/776G06V20/13G06T7/0004G06T2207/10032G06T2207/30188G06T7/149G06T2207/20124
Inventor 林涛林智贤江昊应义斌
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap