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earthquake damage earthquake disaster assessment earthquake evaluation accuracy area remote sensing-building damage introduction analysis different earthquake magnitudes crude oil sampling parking resources data interface standards
DB/T 75-2018 in English

DB/T 75-2018 in English

VALID

Earthquake disaster assessment based on remote sensing-Building damage

  • Issued on:2018-12-26
  • Implemented on:2019-03-01
  • File Format:PDF
  • Delivery:Via email within 1~3 business days
Price(USD): $230.00
$224.00


Introduction

Analysis of the core content of the standard

Evaluation dimensions Single building Group of buildings
Damage category Collapsed/partially collapsed/not collapsed Dense collapse/sparse collapse/no collapse
Resolution requirement 0.2m is required for a magnitude 6 earthquake, 0.5m is required for a magnitude 8 earthquake
Evaluation accuracy Area and number of floors must be marked Evaluation by block/natural village unit

Key Points of Technical Implementation

Using Gaofen-7 satellite imagery as an example, for masonry structures: complete collapse manifests as a loss of outline and fragmented texture; partial collapse manifests as a broken roofline with surrounding debris accumulation; uncollapsed buildings maintain their complete geometric form.

Special attention should be paid to industrial plant assessments: distortion of steel structures manifests as irregularly extended shadows in remote sensing images, in stark contrast to the parallel shadows of normal bent structures.


Background of Standard Evolution

This standard makes a breakthrough in linking the GB/T24335-2009 field investigation standard with remote sensing features. Innovations include:

  1. Establishing a correspondence between Level 5 earthquake damage and Level 3 remote sensing features
  2. For the first time, stipulating the minimum resolution threshold for different earthquake magnitudes
  3. Introducing a quantitative indicator of damage density (critical values such as 40%/10%)

Application Implementation Suggestions

  • Prioritize the use of multi-temporal image comparison technology. It is recommended to reserve a 0.5m resolution base map for key areas before an earthquake
  • For UAV aerial photography data, special attention should be paid to image geometric distortion correction
  • The assessment results should be verified with on-site sampling, and interpretation areas with an error rate greater than 15% should be corrected.

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