Unlock instant, AI-driven research and patent intelligence for your innovation.

A method and device for removing clouds based on MODIS daily snow cover images

A snow cover and image technology, applied in the field of satellite snow remote sensing product processing, can solve the problems of poor cloud removal effect and inability to meet the requirements of dynamic monitoring on a daily time scale

Active Publication Date: 2019-04-30
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Due to the poor cloud removal effect of the existing satellite data cloud removal method, which cannot meet the requirements of dynamic monitoring on a daily time scale, the present invention proposes a cloud removal method and device based on MODIS daily snow cover images

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 method and device for removing clouds based on MODIS daily snow cover images
  • A method and device for removing clouds based on MODIS daily snow cover images
  • A method and device for removing clouds based on MODIS daily snow cover images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The specific embodiments of the invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0057] The data processing method involved in the present invention is introduced as follows:

[0058] 1) Time continuity assumption based on snow to remove clouds

[0059] Such methods mainly rely on the underlying assumption that the snow cover will not melt rapidly in a short period of time to achieve declouding on a time scale. According to the length of time, it is divided into four synthesis algorithms: morning and afternoon data synthesis, adjacent day analysis, flexible combination of several days and long-term sequence analysis. The use of morning and afternoon satellite data synthesis and near-day synthesis methods has its limitations. The premise assumption is th...

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 day-by-day snow coverage image-based cloud removing method and device. The method comprises the following steps of: synthesizing morning and afternoon day-by-day snow coverage images of MODIS; synthesizing the snow coverage images of three continuous days, respectively carrying out permanent land and snow coverage-based discrimination processing, adjacent four pixel processing, elevation filter processing and processing of mistakenly judging lake water of mountain glacier coverage areas as shadow areas on the synthesized images; and carrying out maximum land and maximum snow coverage synthesis processing on the synthesized images of eight continuous days, carrying out snow coverage discrimination on cloud coverage pixels according to the processing result, and carrying out cloud removal processing according to an expected snow line fitting method so as to obtain cloud-free snow coverage images. According to the method and device disclosed by the invention, the morning and afternoon satellite day-by-day snow coverage image data of the MODIS is synthesized, and cloud removal operation is carried out on the synthesized snow coverage images according to a series of multistep judging and fitting methods such as threshold values and the like, so that the clouds which influence the dynamic monitoring in the day-by-day snow coverage images can be removed to satisfy the requirements of the monitors.

Description

technical field [0001] The invention relates to the technical field of satellite snow remote sensing product processing, in particular to a cloud removal method and device based on MODIS daily snow coverage images. Background technique [0002] Snow cover is an important part of the cryosphere and one of the most active natural elements on the earth's surface, which has a profound impact on regional and even global climate change, energy balance and water cycle. Known as the "roof of the world", the Qinghai-Tibet Plateau is the highest altitude area in the mid-latitude region and the core area of ​​the "High Asia Region". Plateau snow cover plays an important role in feedback and regulation of the regional climate and energy cycle in High Asia, and its ablation process also affects the change of snowmelt river flow, which plays an important role in water, ecology and disasters in downstream areas, and has a significant impact on important social and economic impacts. [00...

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): G06T5/50
CPCG06T5/50G06T2207/10032G06T2207/30192
Inventor 邱玉宝张欢于小淇
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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