Image of sea near the coastline

Coastal and Open Ocean Altimetry Data: How ALES unlocks insights from 1995 to today on EarthConsole®

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In the world of satellite altimetry, precision is key. For years, satellites have revolutionized how we measure sea levels, monitor ocean currents, and track environmental changes.

But there’s been one tricky area for researchers: coastal regions.

Historically, satellite altimeters have struggled to provide reliable data near coastlines.

That’s where ALES — the Adaptive Leading Edge Subwaveform retracker — available on EarthConsole® comes in, offering a new way to make accurate altimetry measurements.

What is ALES and why should you care?

ALES is a subwaveform retracking algorithm developed by Marcello Passaro from the German Geodetic Research Institute of the Technical University of Munich, to overcome the challenges altimeters face when measuring sea levels close to the coast.

ALES improves the accuracy of satellite data near coastlines, all while maintaining high accuracy in open ocean measurements, making it a relevant tool for scientists, oceanographers, and anyone tracking sea level rise or coastal changes.

How Does ALES Work?

To understand how ALES functions, let’s start with how satellite radar altimetry works.

Satellites send out radar signals that bounce off earth surface and catch the echoes as they bounce back. The time it takes for these signals to return helps calculate the distance to the surface, allowing us to determine for example sea level. While this process is straightforward in open waters, it becomes complicated near the coast due to interference from land or other reflective objects like for example ship traffic.

ALES works by looking at the signals the satellite gets back and focusing on a specific part of each signal – the leading edge. From this section, ALES makes a rough estimate of how tall the waves are. This information is important because knowing the wave height helps improve the accuracy of the data.

Once ALES has the wave height estimate, it can choose the best part of the wave signal to analyze. By narrowing its focus, ALES can avoid interference from other factors, such as reflections from land or ships. This targeted analysis helps to eliminate noise and enhances the quality of the data, resulting in more precise measurements of sea level.

ALES on EarthConsole®

You can now access an extensive time series of altimetry data spanning from 1995 to today, thanks to the addition of the bulk processing option for ALES for Envisat and ERS-2 data (both missions no longer operational in space) via the Heritage Missions Virtual Lab on EarthConsole®.

This addition complements the existing ALES+ SAR service for Sentinel-3 and CryoSat-2, which was already available for both bulk and on-demand processing via the Altimetry Virtual Lab on EarthConsole®.

This will provide you with a clearer understanding of how coastal zones and open ocean conditions have evolved over the last three decades.

Getting started with ALES for ENVISAT or ALES for ERS-2 (FREE ACCESS):

  1. Log in to www.earthconsole.eu.
  2. Request a free membership to the Heritage Missions Virtual Lab www.earthconsole.eu/groups/heritage-missions.
  3. Click on the card ‘Request the service you need’ and submit the service request using the dedicated form within the Lab.
  4. Wait for approval; it may take a few days as we process your request with ESA.
  5. Once approved, you’ll receive 100 free processing hours, which can be renewed for another 100 hours pending ESA approval.

What makes ALES stand out is its adaptability and versatility.

Whether it’s applied to older satellite missions like ERS-2 and Envisat, or the latest missions like CryoSat-2 and Sentinel-3, ALES is applicable to waveforms from different altimeters. This flexibility enables to extend the time series and ensures that we can analyze both historical and current satellite data to better understand sea level changes over time.

If you’re interested in finding out whether ALES is suitable for your research, feel free to contact us at info@earthconsole.eu.

Image of a river flowing

EarthConsole® Stories: Tracking and predicting changes in river systems with ENVISAT data

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EarthConsole® Stories are experiences about how we helped universities, research centres or service developers to leverage Earth Observation data to extract valuable insights for their research, educational or pre-commercial projects.

The Project

The ESA River Discharge Climate Change Initiative aims to generate long-term climate data records—spanning at least 20 years—of river discharge for selected river basins and key locations within their networks. This will be achieved using satellite remote sensing observations, including altimetry and multispectral images, along with ancillary data. This data is essential for understanding the flow and behaviour of rivers in specific regions and at critical points along their courses. The goal is to develop a robust analytical tool capable of tracking and predicting changes in river systems resulting from climate change.

The Need

The research team, tasked with managing ENVISAT MERIS data spanning 2002 to 2012 from multiple global sites, required an efficient platform for handling this extensive dataset. They found the ideal solution in the Heritage Missions Virtual Lab, an ESA initiative hosted on EarthConsole®. This platform provides specialized processing services for data from discontinued Earth Observation missions like ENVISAT.

Beyond data access, the team needed to generate Analysis Ready Data (ARD) for the MERIS FR datasets. For this purpose, the EarthConsole® team developed a tool that automatically extracted time series data from approximately 25,000 MERIS FR Level 2 products, targeting specific stations within 45 worldwide sites. This process produced around 72,000 subsets, which were subsequently utilized in the neural network model developed by the team.

Why EarthConsole®

The EarthConsole® G-BOX hosting service via the Heritage Missions Virtual Lab was the research team’s choice for direct access to ENVISAT Meris data.

The service was used to process Analysis Ready Data for large ENVISAT MERIS FR datasets for 45 sites worldwide with our own neural network model. In fact, the processing of the huge number of images from 2002 to 2012 would have been too time consuming to be handled on our local infrastructure. The EarthConsole® hosting service was used to speed up the process and provide a consistent and practical method to process the multi-temporal analyses to be later on compared with the in-situ river discharge

Paolo Filippucci, Researcher at IRPI CNR – Italy

 

The Impact

The ESA River Discharge Climate Change Initiative will greatly benefit the research community and society by using advanced satellite technology to monitor and analyse river ecosystems over time. This project provides crucial data on river flow and behaviour, helping to track and predict changes due to climate change. Researchers, environmentalists, and policymakers will gain valuable insights, enabling better decision-making for sustainable water management and climate resilience.

This project has been supported via the ESA Network of Resources initiative.

 

EGU 2024: training course on the P-SBAS DInSAR web tool for Earth surface deformation

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Earth surface deformation due to phenomena like volcanic eruptions, earthquakes, landslides, land subsidence due to fluid extraction activities or large infrastructure construction, can be effectively investigated using Synthetic Aperture Radar (SAR) sensors.

Through the SAR Interferometry (InSAR) technique, two radar images of the Earth’s surface are captured from slightly different angles. By comparing these images, detailed three-dimensional maps of the ground can be created, providing valuable insights into its topography.

When these images are taken at different times, employing the Differential SAR Interferometry (DInSAR) technique, it becomes possible to measure changes in the Earth’s surface over time.

One particularly effective method for tracking these changes is the Parallel Small BAseline Subset (P-SBAS) algorithm, developed at IREA-CNR.

During the EGU General Assembly 2024, on April 18th, IREA – CNR will be conducting a training course, organized with our support, on the P-SBAS DInSAR on-demand service integrated on the EarthConsole® platform.

In this training, you will be guided by IREA – CNR team experts on the Interferometric analysis and on the use of this tool to process both Sentinel-1 and ENVISAT SAR images in a fully unsupervised manner, all through the EarthConsole® P-PRO ON DEMAND web interface without the need to download data to your own processing and archiving systems.

You will also be introduced to the ESA Network of Resources (NoR) initiative that may sponsor scientific users to access the P-SBAS DInSAR on EarthConsole® free of charge.

Find more information on the course either online or on this flyer.

The entry into operation of the P-SBAS DInSAR for Sentinel-1 on-demand service represents an important opportunity for researchers studying Earth surface deformation as it complements the already operational P-SBAS DInSAR for ENVISAT on-demand service available through the ESA Heritage Missions Virtual Lab hosted on EarthConsole®.

This will enable researchers to generate time series and get insights into the evolution of Earth surface deformation over the years.

 How to access these services on EarthConsole®:

  • Log in/Register on the EarthConsole® webapp.
  • For P-SBAS DInSAR for Sentinel-1: fill in the P-PRO ON DEMAND form. We will use the information collected through the form to prepare a sponsorship request for the ESA Network of Resources initiative, that we will send you for your review and approval. If authorized by ESA, the NoR sponsorship would cover the cost of using the P-SBAS DInSAR for Sentinel-1 service within a 6-months time frame.
  • For P-SBAS DInSAR for ENVISAT: request a free of charge membership to the ESA Heritage Missions Virtual Lab. Upon authorization from ESA, you will receive 100 processing hours to start using the service.

If you need any clarification, please do not hesitate to get in touch at info@earthconsole.eu.

 

 

OCRE Project by CENTEC: more than a decade of processed CryoSat-2 and Sentinel-3 AB data over coastal zones available on ESA Altimetry Virtual Lab

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We are pleased to share the conclusion of the European Commission OCRE (Open Clouds for Research Environments) [1] financed project led by CENTEC (Centre for Marine Technology and Ocean Engineering) – Instituto Superior Técnico de Lisboa. With our support here at EarthConsole®, this project aimed at evaluating renewable wave energy resources in the coastal zone, employing advanced high-resolution altimetry products.

CENTEC selected EarthConsole® among the providers of the OCRE Earth Observation catalogue to process data over selected coastal zones and an extensive period of 11 years (from January 2011 to December 2022) for CryoSat-2 data and 7 years (from April 2016 to December 2022) for Sentinel-3 data. The processing was conducted using the ESA-ESRIN SARvatore services for CryoSat-2 and Sentinel-3, which allow users to customise the processing from L1a to L2 data products, and include a list a configurable options such as the one used for this project, the enhanced geophysical retrieval algorithm known as the SAMOSA+ model and retracker.

These services are available for both systematic and on-demand processing via the ESA Altimetry Virtual Lab hosted on EarthConsole®.

The ESA Altimetry Virtual Lab is the virtual space that offers customised services to process Synthetic Aperture Radar Altimetry from CryoSat-2, Sentinel-3 and Sentinel-6 Michael Freilich missions, providing a community space for simplified services access and knowledge-sharing.

The areas of interest processed for this project are delineated in the accompanying figure below. Green areas represent processing with both CryoSat-2 and Sentinel-3 data, yellow areas are exclusively related to CryoSat-2 data, and blue areas represent processing with Sentinel-3 data.

To download the datasets, we invite you to log into the Altimery Virtual Lab and visit its datasets repository. A free of charge subscription to the Lab will be required in case you are not yet a Lab Member.

We remind you that you could also have the chance to get the costs of the ESA Altimetry Virtual Lab services covered, by requesting a voucher to the ESA Network of Resources.

[1] OCRE receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824079

Picture including a measurement of the water level of a river.

EarthConsole® Stories: Monitoring water level changes in the Yangtze River using FF-SAR data

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EarthConsole® Stories are experiences about how we helped universities, research centres or service developers to leverage Earth Observation data to extract valuable insights for their research, educational or pre-commercial projects.

The Project

This study aims at using Sentinel-6 and Sentinel-3 FFSAR data for monitoring changes in water levels within the Yangtze River during the period of January 2019 to March 2023. A key objective of this study is to assess the precision of these datasets in the context of the Yangtze River, accomplished through comprehensive comparisons with both measured water level data and data sourced from alternative satellite monitoring systems.

In addition, the research extends into the topographical characteristics of the Yangtze River, involving a detailed analysis of waveform patterns and potential factors influencing transit points along the river. Furthermore, the study seeks to uncover the root causes behind the fluctuations in the Yangtze River’s water levels, achieving this by cross-referencing data with climate information.

The Need

The requirement at hand revolved around exploring the correlation between temporal and spatial changes in the Yangtze River’s water levels and climate change. Sentinel-3 and Sentinel-6 FFSAR data stood out for their renowned accuracy in monitoring river water level changes. To facilitate this investigation effectively, EarthConsole® offered the FFSAR (Fully Focused Synthetic Aperture Radar) processor for Sentinel-6 developed by Aresys, enabling to delve into this relationship.

Why EarthConsole®

In particular, the P-PRO (Parallel Processing) service within the ESA Altimetry Virtual Lab hosted on EarthConsole® has been selected to gain access to the FF-SAR processor to process Sentinel-6 L1a data on the Yangtze River Basin.

The EarthConsole® P-PRO service proved to be an ideal fit for our project, as it provided the reliable and readily available FF-SAR processor hosted on the platform. Furthermore, this service allowed us to entrust the processing management to EarthConsole® experts, allowing me to concentrate on my research and easily retrieve the results once they were ready.”

Shanmu Ma, Student at the Aerospace Information Research Institute, Chinese Academy of Sciences – China

This project has been supported via the ESA Network of Resources initiative.

Banner with text saying EarthConsole 2023 wrapped.

EarthConsole® 2023 Wrapped: A Year in Review and Exciting Updates for 2024

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As we near the close of 2023, it is the perfect time to unwrap some of the highlights of this year, which has been nothing short of extraordinary for EarthConsole®.

We’ve been right there, sticking to our promise of helping the scientific community getting value added information from Earth Observation data.

Been at it for years, our dedication is still going strong today and will continue in 2024, bringing in new services and options for data processing.

The ESA Heritage Missions Virtual Lab: Unleashing the Potential of Retired Earth Observation Missions

We have proudly introduced the ESA Heritage Missions Virtual Lab, a new space on EarthConsole® dedicated to harnessing the vast potential of data from non-operational Earth Observation missions.

Even though these missions have retired, their data remain a goldmine for understanding current natural phenomena.

It’s a true honour to take on this responsibility from ESA, and we’re excited to have kicked things off with the On-Demand Small Baseline Subset for ENVISAT service by IREA – CNR to study the temporal evolution of natural or human induced surface deformation.

Right now, it’s the first (and only, for the moment) service in this Lab.

But we’ve got more processors lined up, since renowned research institutions have already manifested their interest in sharing their Heritage Missions data-based algorithms with our users’ community.

These are high on our priority list for integration in 2024, so keep an eye out for those updates!

And here’s the best part—subscribing to the Lab won’t cost you a penny. Once ESA gives the green light, you’ll have a head start with 100 free processing hours.

And if you have an algorithm of your own, let us know via our web app for a chance to be considered for a free integration into the Lab.

EarthConsole® on the ESA Network of Resources: Empowering Earth Observation Research and Educational projects, also in 2024

In 2023, we assisted 20 research and educational projects that received financial support from the ESA Network of Resources, allowing their teams to utilise our services free of charge.

It’s truly gratifying to see so many of our users taking advantage of this opportunity thanks to the scientific merit of their projects.

Looking ahead to 2024, we plan to add new services to the EarthConsole® offering such as the SBAS for Sentinel-1 on demand service based on the algorithm owned by IREA – CNR. We plan to make it available in the first quarter of next year.

And we’re also excited to share that the ESA Network of Resources will continue to offer sponsorship opportunities for research, educational, and pre-commercial projects.

To get your sponsorship request process started, first connect with us through our web app to ask for the desired services. You will find us on the other side, ready to guide you through the entire process, ensuring you get the financial and technical support you need.

ESA Altimetry Virtual Lab: A Growing Community of Altimetry Data Users

The ESA Altimetry Virtual Lab on EarthConsole® continues to thrive, with over 100 members and a repository of processed data exceeding 10 TB.

This year alone, the lab’s services contributed to the publication of 5 scientific papers, adding to the 40+ publications accessible via the open ESA Altimetry Virtual Lab library.

Joining this very active community is free and easy!

And for more details on the Lab’s altimetry SAR services and a glimpse into what lies ahead, you can check out the abstract from the recent poster session held at the AGU Annual Meeting in San Francisco.

OCRE-Funded Projects: Earth Observation Services for Extensive Processing Campaigns

We have proudly served as a service provider for two research projects funded through the OCRE (Open Clouds for Research Environments) initiative. These projects involved extensive data processing using the Altimetry Virtual Lab’s ESA-ESRIN SARvatore services for CryoSat-2 and Sentinel-3 missions.

The CENTEC-led project, focusing on renewable wave energy in the Atlantic Ocean, has recently concluded, and its outcomes are generously shared through the Altimetry Virtual Lab datasets repository.

At the same time, the ongoing project led by the Technical University of Denmark aims to produce an open-access dataset derived from past and future CryoSat-2 altimetry mission acquisitions over the polar ice caps. This ambitious goal here is to turn this dataset into the go-to reference standard for the radar altimetry research community studying polar oceans.

Get ready to welcome WIMEX into the EarthConsole® suite of services widening support for the scientific community

WIMEX (Wave Interaction Models EXploitation) is ready to step into the scene next year. This ESA initiative led by Sapienza University of Rome and contributed by us at Progressive Systems as a partner, proposes a brand-new framework designed to make your life easier by letting you develop, validate and use your forward and inverse electromagnetic wave interaction models through a systematic approach.

The WIMEX prototype is gearing up to make its debut, starting with a focus on forward and inverse models for soil moisture and snow water equivalent, in the second half of 2024.

At the moment we’re on the lookout for Earth Observation innovators like you to join the beta testing crew. If you want to be part of the action and help refine the prototype once it’s ready to roll, let us know.

As we wrap up this remarkable year, we’re already gearing up for an even more Earth Observation data-rich and service-packed 2024 in the world of Earth Sciences!

Thank you for your trust and continued support, which made it all possible.

In the meantime, it’s time to rest and wish you and your loved ones a joyous and Merry Christmas, filled with warmth and happiness.

Banner of the AGU Annual Meeting 2023 taking place in San Francisco from the 11th to the 15th of December 2023.

The ESA Altimetry Virtual Lab on EarthConsole® at the AGU Annual Meeting 2023

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The ESA Altimetry Virtual Lab hosted on EarthConsole® is set to take center stage at the AGU Annual Meeting 2023, offering a unique opportunity for attendees to delve into the world of its altimetry data processing services.

Dr. Jérôme Benveniste, the Lab’s initiator and Senior Advisor at the European Space Agency (ESA), is geared up to personally walk you through the online and on-demand services that make up the Lab’s portfolio during a dedicated poster session.

So if you will be in San Francisco for AGU 2023, mark your calendar for Thursday, 14 December 2023, from 14:10 to 18:30 PST, and head to Poster Hall A-C – South (Exhibition Level, South, MC) to discover:

  • The ESA-ESRIN SARvatore service for CS-2 and S-3 services, which allow users to customize the processing at L1b & L2 (a list of configurable options for, e.g., SAMOSA+/++ and ALES+ SAR retrackers, not yet available in the ESA Ground Segment).
  • The ESA SAMPY (Cryo-TEMPO project) for CryoSat-2 to append the SAMOSA+ retracker output to official CryoSat-2 Level-2 GOP products.
  • The TUDaBo SAR-RDSAR (TU Darmstadt–U Bonn SAR-Reduced SAR) for CS-2 and S-3. It allows users to generate reduced SAR, unfocused SAR & LRMC data, with configurable L1b & L2 processing options and retrackers (BMLE3, SINC2, TALES, SINCS, SINCS OV).
  • The TU München ALES+ SAR for CS-2 and S-3. It allows users to process official L1b data and produces L2 products by applying the empirical ALES+ SAR subwaveform retracker, including a dedicated Sea State Bias solution.
  • The Aresys Fully-Focused SAR for CS-2 & S-3, to produce L1b products with configurable options and appending the ALES+ FFSAR output.

And here’s the best part – if you’re not part of the Lab’s 100+users community, you can join for free.

We look forward to welcoming you to the ESA Altimetry Virtual Lab!

Banner showing the title and date of the webinar (20 October 2023)

Join the webinar on EarthConsole® organized by the ESA Network of Resources

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If you are wondering where to start with EarthConsole® or how to broaden your usage of the platform, we are here to help.

Join us at this EarthConsole® webinar on October 20th at 1:00 p.m. CEST, part of the ESA Network of Resources (NoR) Webinar Series.

Join and meet us

You can expect to:

  1. Gain insights on EarthConsole® services to:
    • develop, validate and run your algorithms
    • integrate your algorithm into a scalable environment
    • perform processing campaigns on large datasets
    • run integrated applications on your own
  2. Learn from real use cases.
  3. Get a walkthrough the ESA Virtual Labs hosted on EarthConsole®, designed for specific Earth Observation communities like Altimetry and Heritage Missions data users.
  4. Explore how to get your project sponsored by the ESA NoR.

No matter your background or level of Earth Observation expertise, the presentation has been designed with everybody in mind.

Don’t forget, this webinar is free. We hope to see you there!

Banner including a picture of swell waves

EarthConsole® Stories: Sentinel-6 potential of swell wave detection using FF-SAR data

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EarthConsole® Stories are experiences about how we helped universities, research centres or service developers to leverage earth observation data to extract valuable insights for their research, educational or pre-commercial projects.

The Project

In the context of the Space Flight MSc program at the faculty of Aerospace Engineering of the Delft University of Technology, this thesis project delved into the capabilities of the Sentinel-6 Michael Freilich satellite, the latest satellite altimetry mission, launched in November 2020 as part of the Copernicus programme.

The project aimed to compare two types of data, Level 1b Sentinel-6 Fully Focused Synthetic Aperture Radar (SAR) RAW and RMC data, to evaluate their differences in monitoring swell waves.

The project focused on the Channel Islands of California, where the presence of swells is dominant and especially evident in the winter period.

The Need

Recent research has shown that the performance of the RMC mode in unfocused SAR meets expectations. However, when it comes to fully focused SAR applications, there was still a need to evaluate the differences with RAW data.

That’s where EarthConsole® came into play. EarthConsole®’s Altimetry Virtual Lab provides the FF-SAR processor for Sentinel-6 developed by Aresys. This processor handles the entire journey of Sentinel-6 SAR data, starting from the raw FBR data and transforming it into FF-SAR Level1b products. This processor became indispensable since it provided FFSAR data required for extracting swell spectra information.

Why EarthConsole®

The research team chose to utilize the EarthConsole® P-PRO (parallel processing) service within the EarthConsole® Altimetry Virtual Lab to access the FFSAR (Fully Focused Synthetic Aperture Radar) for Sentinel-6.

In the course of the thesis project, creating an in-house FFSAR processor was simply beyond the project’s scope and the time constraints allocated for it. Consequently, we made the decision to leverage an external service, a choice that brought about several notable advantages. It afforded me access to a well-tested software solution and allowed me to fine-tune processing parameters to align with my specific requirements. Most notably, the substantial reduction in processing time, compared to running it on a local machine, emerged as a pivotal factor ensuring the project’s ultimate success.

The project impact

This performance analysis will be of great help to members of the scientific community who wish to use RAW data to analyze swells as it will highlight differences between RMC and RAW datasets thereby guiding a critical interpretation of the Sentinel-6 mission data.

 

This project has been supported via the ESA Network of Resources initiative.

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EarthConsole® Stories: HYDROCOASTAL project enhancing the understanding of river discharge-coastal sea levels interactions

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EarthConsole® Stories are experiences about how we helped universities, research centres or service developers to leverage earth observation data to extract valuable insights for their research, educational or pre-commercial projects.

The Project

With funding from the European Space Agency (ESA), the Hydrocoastal project aims at making the most of SAR and SARin altimeter measurements in coastal areas and inland waters. To accomplish this goal, the project seeks to explore and implement novel methodologies for processing SAR and SARin data obtained from CryoSat-2, as well as SAR altimeter data gathered from Sentinel-3A and Sentinel-3B satellites.

An important focus of the project is to enhance the comprehension of the relationship between river discharge and coastal sea levels. To facilitate this understanding, the research team developed, implemented, and assessed new SAR and SARIn processing algorithms. From the results of this evaluation a processing scheme has been implemented to generate global coastal zone and river discharge data sets. The potential impact and benefits of these datasets will then be investigated through a series of impact assessment case studies.

Furthermore, as part of promoting collaboration and knowledge sharing, all generated datasets will be made available upon request to external researchers, fostering further exploration and analysis in related fields.

The Need

The Hydrocoastal project has developed a delay-doppler processor in Python. This processor can take Sentinel-3 SRAL L1A and Cryosat-2 FBR data and turn it into L1B data in a customised netCDF format. These data products were additionally extended to include data from Sentinel-3 and Cryosat-2 L2 files.

In the earlier phase of the project, the team developed different retracking tools that could work with these products. These tools were tested and compared with the goal of selecting a single retracking solution. Only the selected tool was to be applied to the data products created by the Python delay-doppler processor.

At this point the research team needed a suitable solution to perform these processing steps and generate the global coastal zone and river discharge datasets and resorted to GBOX (Integrated Algorithm and Execution Environment) available via the ESA Altimetry Virtual Lab hosted on EarthConsole®.

Why EarthConsole®

The Team resorted to EarthConsole® G-BOX as it offered the necessary computing resources to efficiently deliver the global validated coastal zone datasets and river discharge datasets.

The initial phase of the project, involving the definition of products and assessment of various algorithms, has been successfully completed internally. For the next phase involving the generation of the datasets, we selected EarthConsole® G-BOX for its potential to significantly expedite our data processing timeline compared to our in-house facilities. By leveraging G-BOX, we eliminated the lengthy process of downloading input data. This enabled us to deliver the global datasets in a much shorter time, meeting our project goals effectively.

The project impact

The ESA Hydrocoastal project has the ambition to utilize the global datasets to foster more effective management strategies for various coastal regions. These areas have common features such as flooding and erosion, sedimentation, the importance of accurate high resolution local modelling, the vulnerability of coastal habitats, the connection between river discharge and coastal sea levels.

Simultaneously, the project focuses on investigating the potential for operational hydrological forecasting in inland water systems, assessing the influence of lake size and riverbank configuration on water level retrieval accuracy, quantifying the freshwater inflow into the seas under examination, and developing a comprehensive global water level climatology.

This project has been supported via the ESA Network of Resources initiative.