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Distributed remote sensing data organization query method based on NoSQL database

A remote sensing data, distributed technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve inconvenience and other problems, achieve the effect of convenient use, effective storage and management, and overcome the threshold of professional knowledge

Inactive Publication Date: 2013-04-03
COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
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Problems solved by technology

[0005] The large amount of data and strong specialization of remote sensing image data make the use of remote sensing data, especially cross-field and interdisciplinary use, a lot of inconvenience

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  • Distributed remote sensing data organization query method based on NoSQL database
  • Distributed remote sensing data organization query method based on NoSQL database
  • Distributed remote sensing data organization query method based on NoSQL database

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Embodiment Construction

[0022] The present invention will be described in detail below through specific embodiments and accompanying drawings.

[0023] The distributed remote sensing data organization and query method based on NoSQL database of the present embodiment, its process is as follows figure 1 As shown, the specific processing steps corresponding to this process are as follows figure 2 As shown, the specific description is as follows:

[0024] A. Remote sensing image data preprocessing: The original remote sensing image files provided by the original remote sensing datasets (Landsat, MODIS, DEM, etc.) are generated through projection conversion, image stitching, format conversion and other data preprocessing steps to generate the initial .tif or .img Image file; Table 1 below is an example of the metadata of the original remote sensing file in .tif format;

[0025] B. Remote sensing image data extraction: extract data from the initial image file obtained in step A, including metadata info...

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Abstract

The invention belongs to the technical field of zoology and remote sensing information science and relates to a distributed remote sensing data organization query method based on the NoSQL database. The method includes the steps: preprocessing an original remote sensing data file, and outputting an initial remote sensing image file according to an appointed format, extracting data of each pixel and data element information in the initial remote sensing image file; reconstructing the extracted data of each pixel and data element information as unstructured text data; storing the unstructured text data in the distributed NoSQL database, and setting up query indexes; and returning corresponding remote sensing data to users according to query conditions inputted by the users, and regenerating image files. The distributed remote sensing data organization query method based on the NoSQL database can be used for effectively storing and managing massive remote sensing data and can be applied to correlated fields of remote sensing ecological monitoring, species distribution forecast, remote sensing data inversion and the like.

Description

technical field [0001] The invention belongs to the technical field of ecology and remote sensing informatics, and relates to the organization and management of remote sensing data, in particular to a distributed remote sensing data organization query method based on NoSQL database, which is mainly used in remote sensing ecological monitoring, species distribution prediction and remote sensing data inversion Organization and management technology for massive remote sensing data in related fields. Background technique [0002] NoSQL refers to a non-relational database. It is a data storage mode used to store massive non-relational data in the Web 2.0 era to meet the requirements of concurrent access performance, storage capacity, scalability, and reliability. Compared with traditional relational databases, NoSQL databases have the following characteristics: 1. Need to meet the requirements of high concurrent read and write; 2. Need to meet the needs of efficient storage and a...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 邵靖黎建辉王学志周园春沈庚
Owner COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
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