Integration of Webcam data for deriving Snow cover and snow depth from Sentinel-1, Sentinel-2 and Pléiades data

A Cloud-Based System for High-Resolution Soil Moisture Monitoring over Austria

Soil moisture is a pivotal variable in the coupled water-, energy-, and carbon cycles, and is hence of high interest to a wide range of applications. Both public- and private organisations need soil moisture data to improve their services, yet the spatio-temporal resolution of operationally available soil moisture data has so far not met the requirements of many public-sector and commercial applications.

Resolving the Daily Water Cycle over Land with Radar Satellites

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