DB/T 84-2020 in English

VALID

Database structure of satellite remote sensing data in earthquake application

Issued on:2020-03-30
Implemented on:2020-07-01
File Format:PDF
Delivery:Via email within 5 business days

Price(USD)： $490.00
$476.00

Standard No:	DB/T 84-2020
Document status:	VALID
Title in English:	Database structure of satellite remote sensing data in earthquake application
Title in Chinese:	卫星遥感地震应用数据库结构
Language:	English
File Format:	Electronic (PDF)
Delivery:	Via email within 5 business days
Issued on:	2020-03-30
Implemented on:	2020-07-01
ICS Classification:	91.120.25-Seismic and vibration protection
Chinese Classification:	P15-Engineering seismic resistance
Professional Classification:	DB-Provincial Standard
Related Keywords:	data table core content structure data type table prefix typical table example raw data oo_ satellite product data original data basic data b_ earthquake information table
Related Topics:	remote sensing database satellite remote sensing Earthquake database remote sensing standards remote sensing standards star library What about remote sensing data standards? satellite remote sensing Earthquake database remote sensing data induction counter raw data sheet remote library+ Geography and Remote Sensing remote sensing metadata satellite telemetry system satellite remote sensing earth shock Compound Structural Data satellite type standard remote sensing data Satellite Data Parameters standard remote sensing data Remote Sensing Data Standard Data Wireless Smoke Detector Structure application data set Influenza Parainfluenza Satellite Experiment Satellite communications remote sensing navigation standards Remote sensing industry seismic products Remote sensing satellite data industry Beidou remote sensing metadata Optical satellite remote sensing image database Satellite remote sensing standards Satellite remote sensing measurements Satellite Platform Data Standard Database industry Satellite remote sensing related standards Satellite remote sensing applications Remote sensing data industry Remote Sensing Applications International Satellite data aggregation

本标准规定了卫星遥感地震应用数据库的数据内容、数据库表命名、数据库表结构及基本技术要求。
本标准适用于卫星遥感地震应用数据库建设和应用。

Introduction

Standard Background and Significance

This standard was proposed by the China Earthquake Administration to standardize the construction of application databases of satellite remote sensing technology in the earthquake industry. With the development of remote sensing technologies such as Synthetic Aperture Radar (SAR) and Infrared Radiometer, standardized databases are essential for data sharing and disaster emergency response.

Core content structure

Data type	Table prefix	Typical table example
Raw data	OO_	Satellite remote sensing data table (DO_RSImage)
Basic data	B_	Earthquake information table (B_Earthquake)
Product data	RM_/RI_/RE_	Emergency rescue thematic table (RE_VectorMap)

Key Technical Specifications

1. Database Naming Rules

A three-part structure is used: RRSDB_abbreviation of database establishment unit (8 digits)_year of database establishment. For example, the database created by the Institute of Crustal Stress of China Earthquake Administration in 2018 is named: RRSDB_00000ICD_2018

2. Field type specification

char(n): fixed-length string (such as GUID uses char(32))
number(m,n): numeric type (latitude and longitude are accurate to 4 decimal places)
date: UTC time format (YYYY-MM-DD HH:MI:SS)

Implementation suggestions

Data layered storage: original data, basic data, and product data need to be physically isolated
Relationship maintenance: maintain the relationship between tables through GUID, such as the relationship between the earthquake monitoring product table and the original image table
Extensibility principle: new fields must follow the naming convention, and modification of primary keys and relationships is prohibited

Technology evolution analysis

Compared with DB/T 69-2017, this standard adds LiDAR data support, and refines the storage specifications of electromagnetic field data, reflecting the trend of multi-source remote sensing data fusion.

More samples: DL/T 368-2010 JGJ 94-2008 JC/T 2453-2018

Sample only — not a preview of DB/T 84-2020