Upcoming Events
Jun 23
Living Planet Symposium 2025
 Conference
Jul 08
Third High-Level Expert Group Meeting on Big Data 2025
 Conference
Sep 29
BiDS | Big Data from Space 2025
 Conference

View all events

Latest Tweets

Tag: Sentinel-1

Raised Peatland Ecohydrology Evaluation through Sentinel-1 InSAR data and Machine Learning – RaiPEAT_InSAR

Prime company: UNIVERSITY COLLEGE DUBLIN (IE)

Living Planet Fellowship research project carried out by Alexis Hrysiewicz. The “Raised Peatland Ecohydrology Evaluation through Sentinel-1 InSAR data and Machine Learning” (RaiPEAT_InSAR) project will investigate linkages between ecohydrological parameters of raised peatlands and InSAR estimates to classify of ecohydrological dynamics of peatlands. The main objectives are as follows: Ground validation of InSAR-derived surface motions of temperate …

Project detail

YIPEEO: Yield Prediction and Estimation from Earth Observation

Prime company: TECHNISCHE UNIVERSITAT WIEN (TU WIEN) (AT)

Crop yield forecasting is a vital tool to support stakeholders and decision-makers in preparing for potential yield deficiencies. Most crop yield forecasts so far have been implemented on a regional to national scale. Field-scale forecasts can add vital information for farmers and insurers but still have much potential to improve. Especially the increasing availability of …

Project detail

WIDE-AREA SENTINEL-1 DEFORMATION CLASSIFICATION FOR ADVANCED DATA EXPLOITATION

Prime company: Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) (ES)

The WISE (Wide-Area Sentinel-1 Deformation Classification  for  Advanced  Data  Exploitation)  project focuses on developing advanced tools to exploit the large amount of satellite-borne Synthetic Aperture Radar (SAR) data. The main data source will be the Sentinel-1 SAR data: this Copernicus mission provides, with its fast revisit time, high-resolution and multi-polarization, an unprecedented amount of data, …

Project detail

EO4WR – EARTH OBSERVATION FOR WATER RESOURCE EXTRACTION IN INDONESIA

Prime company: Planetek Italia (IT)

The project is exploiting new AI techniques using EO data to support water extraction. The service provide generated a precise terrain motion map using Sentinel-1 data with InSAR and this was combined with global and local geosptial data such as a database concerning water extraction activities including a map of wells in the area of …

Project detail

OSIRIS FO – “OSIRIS FOLLOW-ON – OPTICAL AND SAR DATA AND SYSTEM INTEGRATION FOR RUSH IDENTIFICATION OF SHIP MODELS – FOLLOW-ON ” – EXP

Prime company: MAPSAT TELERILEVAMNETO MEDITERRANEA (IT)

The project is a follow up of the ESA funded OSIRIS project, aimed at developing a series of modules for maritime surveillance into a prototype deployed on a shared processing system with a tested full chain for Sentinel 1 and 2 data. The team performed a survey on most commonly used spaceborne sensors for thermal …

Project detail
Scientists

Accelerated polar ice loss

Ice losses from the Greenland and Antarctic ice sheets have been accelerating since the 1990s, according to the latest study published today by the Ice Sheet Mass Balance Inter-comparison Exercise (IMBIE). The study, which presents a 29-year record of ice sheet mass balance from 1992 to 2020, combines 50 independent estimates of ice sheet mass …

Read more

Polar TEP extension with AI capabilities

Prime company: POLAR VIEW EARTH OBSERVATION LTD (GB)

EO has a unique role in monitoring the Polar Regions by providing information that is consistent, repeatable, year-round, and covers the extensive area. In particular, Synthetic Aperture Radar (SAR) missions, such as Sentinel-1, have for many years proven useful in high resolution monitoring due to their capability of acquiring data independent of cloud cover and …

Project detail
Scientists

Using a data cube to monitor forest loss in the Amazon

Billions of radar images over the entire Amazon basin have been converted into a data cube and processed to help a dynamic detection of forest loss. This work, performed within the Sentinel-1 for Science: Amazonas project, uses a space-time data cube design (also known as StatCubes), where statistical information relevant to identify deforestation is extracted …

Read more