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

Prime company: UNIVERSITY COLLEGE DUBLIN (IE)

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 raised peatlands by using co-located soil moisture, water …

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Ground Reference Observations Underlying Novel Decametric Vegetation Data Products from Earth Observation – GROUNDED EO

Prime company: University of Salford (GB)

Ground Reference Observations Underlying Novel Decametric Vegetation Data Products from Earth Observation (GROUNDED EO) aims to exploit cutting-edge machine learning approaches, ground data collection capabilities, and data fusion methods to develop improved decametric vegetation biophysical products from Sentinel-2 and -3, ultimately facilitating better environmental decision making. The objectives of the project are to: Develop a …

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Integrated Remote Sensing for Biodiversity-Ecosystems Function – IRS4BEF

Prime company: MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY (DE)

The combination of information provided by different optical and thermal spaceborne imagers can give complementary information about vegetation plant biodiversity and ecosystem functions to understand their links (BEF relationships) better. However, how integrating multi-mission information in this context remains unclear. Therefore, IRS4BEF wants to solve relevant methodological questions regarding the integration and analysis of these …

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IMPROVED SOIL MOISTURE RETRIEVAL USING MACHINE LEARNING (ISML)

Prime company: ESTELLUS SAS (FR)

Terrestrial land surfaces are characterised by strong heterogeneities of, among other variables, soil texture, orography, land cover, snow, or Soil Moisture (SM). SM is of broad scientific interest due to its role in the Earth system: It impacts the partitioning of the incoming water and energy over land and affects then the variability of the …

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BURNING QUESTIONS ON CARBON EMISSIONS FROM FIRES (BURNQUEST)

Prime company: Netherlands Institute for Space Research (NWO-I) (NL)

Landscape fires, whether natural or human-induced, have a key impact on the Earth system via the release of pollutants, greenhouse gases and aerosols, affecting human health and climate. Over the next decades their role may increase related to drier and warmer conditions, exacerbating biome shifts and lowering biodiversity. In addition, this may provide one of …

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EO4GHRO: A MULTI-SENSOR SYNTHESIS FOR THE SPATIOTEMPORAL QUANTIFICATION OF NEAR-SURFACE DENSITY ACROSS THE GREENLAND ICE SHEET

Prime company: Technical University of Denmark (DK)

Expected sea-level rise through the remainder of the 21st century has been primarily attributed to the continued melting of the Greenland Ice Sheet (GrIS). This loss of ice not only directly threatens coastal infrastructure around Europe but precipitates second-order effects such as proliferation of diseases, crop instability and increased health stressors. Therefore, there is a …

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PACIFIC

Prime company: CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (CNRS) (FR)

Global mean sea level (GMSL) is considered one of the leading indicators of global climate change as it reflects changes taking place in different components of the climate system. Present-day sea level rise and its acceleration, currently estimated by high-precision satellite altimetry measurements, are primarily driven by anthropogenic global warming, more specifically by ocean warming-induced …

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

Prime company: CENTRE TECNOLÒGIC DE TELECOMUNICACI (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, …

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UAV OBSERVATIONS OF BRDF AND ALBEDO OVER SEA ICE AND SNOW – UAV-OBASIS

Prime company: FINNISH METEOROLOGICAL INSTITUTE (FI)

Surface albedo controls the absorption of sunlight and its reflection back to the atmosphere and space. The bright, highly reflecting surfaces such as seasonal snow cover and sea ice cover that expand to cover large areas during winter and shrink in coverage during summer have high impact on the surface energy balance of the Earth. …

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