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

Algae bloom prediction method based on remote sensing total algae quantity

A total and remote sensing technology, which is applied in satellite remote sensing technology and its application fields, can solve problems such as inapplicability and achieve strong scalability

Active Publication Date: 2021-06-18
NANJING INST OF GEOGRAPHY & LIMNOLOGY
View PDF15 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for a water body area, the algal bloom prediction method that only relies on meteorological factors is often inapplicable when applied to other water bodies.

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
  • Algae bloom prediction method based on remote sensing total algae quantity
  • Algae bloom prediction method based on remote sensing total algae quantity
  • Algae bloom prediction method based on remote sensing total algae quantity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] Embodiment Taking Chaohu, a typical eutrophic lake in China, as an example, the technical solution of the present invention is further elaborated, specifically as follows:

[0027] (1) Obtain the remote sensing image data of the historical period of the lake to be predicted.

[0028] Since algal blooms have high temporal dynamic characteristics, the present invention uses MODIS remote sensing data with high temporal resolution. In order to remove the influence of the atmosphere, the SeaDAS software system was used to perform geometric correction and atmospheric radiation correction to obtain the remote sensing reflectance (R rc ).

[0029] (2) Remote sensing inversion of distribution of algal blooms in historical periods, and image pixels are classified into pixels where algal blooms occur and pixels where algal blooms do not occur.

[0030] The remote sensing reflectance R of the top layer of the atmosphere corrected by Rayleigh scattering rc , according to the repo...

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 an algal bloom prediction method based on remote sensing total algae quantity, which comprises the following steps: performing big data analysis on algal bloom occurrence condition, remote sensing total algae quantity and different meteorological indexes monitored by remote sensing in historical periods, and then constructing a Logistic prediction model of algal bloom occurrence probabilities in different lake areas, thereby realizing algal bloom occurrence probability prediction based on the remote sensing total algae quantity. According to the method, Logistic regression analysis which is mostly used in epidemiological research is adopted, and the (continuous) prediction of the algal bloom occurrence probability is realized.

Description

technical field [0001] The invention relates to the field of satellite remote sensing technology and its application, in particular to an algal bloom prediction method based on the total amount of remote sensing algae. Background technique [0002] Under the influence of intense human activities, the eutrophication of lakes has become increasingly serious, and algae in lakes have increased explosively, thus forming algal blooms on the water surface. After the occurrence of algal blooms, the transparency of the water body will be greatly reduced, which is not conducive to the growth of aquatic vegetation. The decomposition of algae cells will also consume dissolved oxygen in the water body and deteriorate the water quality. The decomposition of algae cells will also produce foul-smelling gases. In order to control or alleviate the ecological and environmental hazards caused by algal blooms, the state and local governments have invested a lot of manpower, material and financia...

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): G06F17/18G01N21/17G01N21/55
CPCG06F17/18G01N21/17G01N21/55G01N2021/1793
Inventor 刘东段洪涛
Owner NANJING INST OF GEOGRAPHY & LIMNOLOGY
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