Exploring the Sentinel-1 and Sentinel-2 Data Cubes for Supporting Crop Classification with EODC

Copernicus Data for Novel High-resolution Wildfire Danger Services in Mountain Regions

Flood Event Monitoring and Documentation enabled by the Austrian Sentinel Data Cube

Flooding is a recurrent phenomenon in Austria. Every year sees at least several smaller-scale flood events occurring in different parts of the territory. While the extent and duration of these events are limited, their combined impact on society and economy is significant. Unfortunately, field work to assess the flood status and its impact are time demanding and costly.

Exploration of Space-borne LiDAR data for supporting Sentinel-1 Forest parameter retrieval

Integration of Geo-Wiki and LACOVAL

The LACO-Wiki system was developed in the project, which encapsulates a validation workflow as four stages:

1. A user uploads a map to be validated using visual interpretation of satellite imagery or orthophotos, e.g., a land cover map. 2. They generate a statistical robust validation sample. 3. They set up a validation session and undertake the validation. 4. They generate an accuracy assessment report.

The impact of mass movements on alpine trails and huts assessed by EO data

EO-based landslide mapping: from methodological developments to automated web-based information delivery

Assessing the suitability of DEMs derived from Sentinel-1 for landslide volume estimation

High Mountain Cartography with high-resolution Pléiades Satellite Data

The major goal of this project is to create a topographic map of the Mt. Kenya area. Through high-resolution Pléiades satellite data the project seeks to derivate a detailed map from both non-alpine areas (Mt.Kenya) and alpine (Franz-Senn-Hütte).

Quality Assurance for Soil Moisture (QA4SM) - Automatic Valication Testbed & Experiments