Method and system for preprocessing MODIS (Moderate-Resolution Imaging Spectroradiometer) surface albedo data

A surface reflectivity and preprocessing technology, applied to radio wave measurement systems, instruments, etc., can solve problems such as the difficulty of distinguishing between clouds and ice and snow, and achieve the effect of improving accuracy

Inactive Publication Date: 2012-07-04
BEIJING NORMAL UNIVERSITY
View PDF2 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But when snow and ice mix with soil, or cirrus clouds, it

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
  • Method and system for preprocessing MODIS (Moderate-Resolution Imaging Spectroradiometer) surface albedo data
  • Method and system for preprocessing MODIS (Moderate-Resolution Imaging Spectroradiometer) surface albedo data
  • Method and system for preprocessing MODIS (Moderate-Resolution Imaging Spectroradiometer) surface albedo data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0107] Such as figure 1 As shown, a preprocessing method of MODIS surface reflectance data includes the following steps:

[0108] S1: Obtain the original input remote sensing data through the MODIS spaceborne sensor;

[0109] In this embodiment, the original input remote sensing data is the MODIS surface reflectance data of a certain year from 2000 to 2010, which can be one of the following four types of data:

[0110] (1) MOD09A1 dataset;

[0111] (2) MYD09A1 dataset;

[0112] (3) MOD09GA dataset;

[0113] (4) MYD09GA dataset.

[0114] Among them, MOD09A1 and MYD09A1 data are MODIS 8-day surface reflectance; MOD09GA and MYD09GA are MODIS 1-day surface reflectance. These data have been collected since 2000. The data include MODIS 1-7 band 500-meter resolution reflectance data and 1km resolution observation zenith angle, observation azimuth angle, solar zenith angle, solar azimuth angle and quality control and other information.

[0115] S2: Perform abnormal data detect...

Embodiment 2

[0145] The present embodiment describes a preprocessing system of MODIS surface albedo data, said system comprising:

[0146] The data input module is used to obtain the original input remote sensing data through the MODIS spaceborne sensor;

[0147] A missing data detection module, configured to detect missing data on the original input remote sensing data;

[0148] The cloud and snow detection module is used for performing preliminary detection of clouds and snow based on the prior knowledge of clouds and snow on the remote sensing data of the original input;

[0149] The abnormal data detection module is used to obtain the cloud and snow data as training samples, and utilizes the training samples to detect all data and identify all cloud and snow data as abnormal data;

[0150] The spatio-temporal filtering and interpolation module is used to perform spatio-temporal filtering and interpolation on the original input remote sensing data to fill in missing pixels and spatiall...

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 method and a system for preprocessing MODIS (Moderate-Resolution Imaging Spectroradiometer) surface albedo data. The method comprises the following steps of: S1, acquiring remotely sensed data which are originally input; S2, carrying out missing data detection on the remotely sensed data which are originally input; S3, carrying out cloud and snow primary detection on theremotely sensed data which are originally input; S4, by using the obtained cloud and snow data as a training sample, detecting all data and identifying abnormal data; and S5, carrying out space-time filtering and interpolation on the remotely sensed data which are originally input. The system comprises a data input module, a data missing detection module, a cloud and snow detection module, an abnormal data detection module and a space-time filtering and interpolation module which are respectively used for implementing the above steps. According to the invention, by processing the missing and abnormal data in the surface albedo data, the surface albedo data of which a long-time sequence and space-time are continuously consistent can be generated and the accuracy of subsequent application and remote sensing inversion is improved.

Description

technical field [0001] The invention relates to the technical field of data preprocessing, in particular to a method and system for preprocessing MODIS surface reflectance data. Background technique [0002] The preprocessing process is the premise to ensure the quality of global land surface satellite data products. Because the remote sensing data is affected by clouds, snow and cloud shadows in space, spectrum and time, the real surface reflectance is often disturbed, so it is difficult to accurately reflect the change law of the surface characteristic parameter products. [0003] According to the analysis of daily remote sensing images in the world, more than 70% of the world's average area is covered by clouds; in terms of time, cloud coverage still has long-term, seasonal, and variability; at the same time, cloud coverage brings the existence of cloud shadows; In the middle and high latitudes, due to the existence of a large amount of soluble snow, the similarity betwe...

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): G01S7/48
Inventor 赵祥唐海蓉于凯高涛梁顺林
Owner BEIJING NORMAL UNIVERSITY
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