1.
Milenkovic, Milutin
Big EO Data Processing Approaches for Monitoring Tropical Forest Disturbance with Sentinel-1 Data Presentation
15.11.2022.
Abstract | BibTeX | Tags: Earth Observations, Presentation, Sentinel-1, tropical forests
@misc{nokey,
title = {Big EO Data Processing Approaches for Monitoring Tropical Forest Disturbance with Sentinel-1 Data},
author = {Milutin Milenkovic},
year = {2022},
date = {2022-11-15},
abstract = {An increase in the disturbance of tropical forests, mainly caused by human-driven deforestation, drouths, and forest fires, has been constantly reported over the last decades. Those stressors are pushing tropical ecosystems to their limits, and it is urgently needed to understand how far the ecosystems are from their point of no return. Novel global and free Earth Observation (EO) data, such as Sentinel-1 satellite radar images from the EU’s Copernicus programme, have high spatial (20 m) and temporal (6 or more days) resolution, providing an excellent possibility for monitoring tropical ecosystem change. However, those terabytes of data also require novel processing ways. In this talk, I will present three different big data approaches utilized to detect Sentinel-1 signal disturbances and recoveries over tropical forests in the Amazon and Congo basins. The presentation will give a user perspective and experience on the Sentinel-1 processing on local servers, the ESA openEO platform, and a national computing infrastructure used within the C-SCALE project. A novel EU-funded project on big EO data processing, the open Earth monitor cyberinfrastructure, will also be introduced.
Event: Enhancing Satellite Imagery and Geospatial Information Capabilities in Support of Nuclear Safeguards
Place: UN, IAEA Headquarters, Vienna, Austria
Date: 15–17 November 2022},
keywords = {Earth Observations, Presentation, Sentinel-1, tropical forests},
pubstate = {published},
tppubtype = {presentation}
}
An increase in the disturbance of tropical forests, mainly caused by human-driven deforestation, drouths, and forest fires, has been constantly reported over the last decades. Those stressors are pushing tropical ecosystems to their limits, and it is urgently needed to understand how far the ecosystems are from their point of no return. Novel global and free Earth Observation (EO) data, such as Sentinel-1 satellite radar images from the EU’s Copernicus programme, have high spatial (20 m) and temporal (6 or more days) resolution, providing an excellent possibility for monitoring tropical ecosystem change. However, those terabytes of data also require novel processing ways. In this talk, I will present three different big data approaches utilized to detect Sentinel-1 signal disturbances and recoveries over tropical forests in the Amazon and Congo basins. The presentation will give a user perspective and experience on the Sentinel-1 processing on local servers, the ESA openEO platform, and a national computing infrastructure used within the C-SCALE project. A novel EU-funded project on big EO data processing, the open Earth monitor cyberinfrastructure, will also be introduced.
Event: Enhancing Satellite Imagery and Geospatial Information Capabilities in Support of Nuclear Safeguards
Place: UN, IAEA Headquarters, Vienna, Austria
Date: 15–17 November 2022
Event: Enhancing Satellite Imagery and Geospatial Information Capabilities in Support of Nuclear Safeguards
Place: UN, IAEA Headquarters, Vienna, Austria
Date: 15–17 November 2022