Projects

GRID project detail

X3D4pop: Suitability of mixed-satellite-sensor derived 3D data for rapid urban population estimation in crisis situations


Project related items: Description | Reports | Maps | Posters | Multimedia | Projects

Project description

Hide

Duration: May 2017 - April 2018

The overall goal of X3D4Pop is to investigate conceptual strategies and technical framework conditions to enhance the extractability of high-resolution digital surface/elevation models from mixed- sensor optical EO data. We aim to clarify the state-of-the-art of rapid DSM generation in crisis situations, allowing first responders and humanitarian organisations to gain a better overview of the population affected. We therefore strive to (1) define a set of test scenarios realistically simulating a real crisis/rapid mapping situation, and to evaluate the project outcomes with respect to these scenarios, against reference data; (2) produce a set of DSMs/DTMs (and ortho-images) from various image pairings of different sensors to test the sensitivity of the DEM production chain on differences between the two acquisitions; (3) to produce population estimations using DSMs of different quality dependent of data availability under the defined test scenarios.


UNEP region: Global

UNEP priorities: Ecosystems Management , Disasters and Conflicts

GRID unit: Global Change and Vulnerability

Package Leader: Andrea De Bono
project member: Bruno Chatenoux
data credit: Andrea De Bono
data credit: Bruno Chatenoux




top




GRID project right-column
Factsheet:

Get the pdf factsheet of the project "X3D4pop: Suitability of mixed-satellite-sensor derived 3D data for rapid urban population estimation in crisis situations"