Scalable explorative change detection for big Sentinel-2 data

Objective: The goal of SEVA is the development of a scalable exploration-tool that enables users to extract all land cover changes in big Sentinel-2 data and to identify all changes relevant to the user.

Funded by: Federal Ministry of Economic Affairs and Energy (BMWi)

Funding period: 01.11.2017 - 31.10.2019

Contact

Valery Lavrentiev
Scientist
M. Sc. Valery Lavrentiev
Remote Sensing and Geoinformatics
Telegrafenberg
Building A 20, Room 310
14473 Potsdam
+49 331 288-2840
Profile