Change detection and assessment of destroyed urban infrastructure using remote sensing analysis

Detecting changes in a building using remote sensing images has been an essential research topic in Geographic Information System (GIS) and Remote Sensing (RS) and used for characterization and quantification of change detection on footprints of buildings or buildings’ rooftops.
The purpose of the research project includes the choosing and testing RS and GIS methods based on aerial and satellite imagery data to detect changes in urban objects (mainly the footprints of buildings) that destroyed due to military events in Ukraine.
1. What methods of manual and automated remote sensing (RS) and spatial analysis with Geographic Information Systems (GIS) are suitable for detecting rapid changes in the footprints of buildings as a result of military destructions?
2. What is an effective RS and GIS methodology using digital surface model (DSM), extracted from orthophotos, to delineate changes and assess and level the severity of damage to buildings (destroyed, partially destroyed, damaged, unchanged etc.)?
3. What are the RS techniques and their variables for determining the type of destructions (bomb, artillery/rocket, mortar shells etc.)?
4. How to create a GIS database to store city features with attributes such as building type, intended use, percentage damage severity, destruction type, estimated cost, and recoverability?

Faculty Supervisor:

Mikhail Govorov

Student:

Partner:

Taras Shevchenko National University of Kyiv

Discipline:

Earth science

Sector:

Technology; Other

University:

Vancouver Island University

Program: