Open-Earth-Monitor science webinars
The Open-Earth-Monitor project, funded by the EU Horizon Europe research and innovation programme, organizes monthly science webinar hosting two researchers working with Earth Observations, geospatial environmental data, monitoring networks and alert systems and their applications.
DOI (Serie): 10.5446/s_1405
44
2023–2024
992
9 Stunden 44 Minuten
Ergebnisse 1-36 von 44
06:42
33Peborgh, Joaquin vanJoaquin will showcase the OpenClimate platform, the data schema and data aggregation work done, and our roadmap and opportunities of collaboration for the open source and open data community. Following this presentation, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts
2023OpenGeoHub Foundation
25:50
71Witjes, MartijnMartijn will present OpenGeoHub’s efforts at creating a harmonized, multi-source spatiotemporal data cube for Europe, and how this data cube was used to produce consistent continental annual land use/ land cover maps. He will also show you around the EcoDataCube platform that hosts the data cube and the land cover maps!
2023OpenGeoHub Foundation
19:56
17Peborgh, Joaquin vanJoaquin van Peborgh is Director of Product at OpenEarth Foundation. During the Open-Earth-Monitor Science Webinar, he Joaquin showcased the OpenClimate platform, the data schema and data aggregation work done, and our roadmap and opportunities of collaboration for the open source and open data community.
2023OpenGeoHub Foundation
07:05
40Witjes, MartijnMartijn is a PhD candidate at OpenGeohub Foundation, focusing on large-scale spatiotemporal land cover modeling. During the Open-Earth-Monitor Science Webinar Martijn presented OpenGeoHub’s efforts at creating a harmonized, multi-source spatiotemporal data cube for Europe, and how this data cube was used to produce consistent continental annual land use/ land cover maps. He also showed the EcoDataCube platform that hosts the data cube and the land cover maps! Following this presentation, he was asked a few questions by OEMC’s Working Package 6 OpenGeoHub’s communication experts.
2023OpenGeoHub Foundation
25:06
32Filippucci, PaoloPaolo Filippucci (PhD) is a research fellow at the Hydrology group of the Research Institute for Geo-Hydrological Protection (IRPI) of Italian National Research Council (CNR). He presented a methodology to derive river discharge information from near-infrared (NIR) satellite sensors. The approach has been applied to different river basins worldwide in the framework of the ESA projects RIDESAT, STREAMRIDE, HYDROCOASTAL and 4DMED-hydrology, by using NIR data sensed by MODIS and Sentinel-2 sensors.
2023OpenGeoHub Foundation
03:13
13Filippucci, PaoloPaolo Filippucci (PhD) is a research fellow at the Hydrology group of the Research Institute for Geo-Hydrological Protection (IRPI) of Italian National Research Council (CNR). Following this presentation, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts.
2023OpenGeoHub Foundation
23:02
40Groom, QuentinQuentin Groom is the lead of the Biodiversity Informatics team at Meise Botanic Garden in Belgium. In this presentation, Quentin wanted to give attendees a sense of biodiversity data, where it comes from, what they want to learn from it, and what the challenges are. He did this in the context of the B-Cubed project (https://doi.org/10.3030/101059592) that aims to contribute to solving some of these challenges and made particular reference to citizen science for the collection of data and the advantages and challenges this presents.
2023OpenGeoHub Foundation
03:13
25Groom, QuentinQuentin Groom is the lead of the Biodiversity Informatics team at Meise Botanic Garden in Belgium, and part of the B-cubed project. Following his presentation, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts.
2023OpenGeoHub Foundation
04:17
16Maso, JoanDr. Joan Masó (m) is a Principal investigator of CREAF leading specialized group on geospatial interoperability, GIS, remote sensing. Following his presentation, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts.
2023OpenGeoHub Foundation
04:37
19Strobl, PeterPeter A. Strobl is a Senior Scientist at European Commission’s Joint Research Centre in Ispra, Italy. Following his presentation, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts.
2023OpenGeoHub Foundation
27:27
15Strobl, PeterPeter A. Strobl is a Senior Scientist at European Commission’s Joint Research Centre in Ispra, Italy. In this presentation, he gave an overview of the development of CEOS-ARD, its current status, and provided an outlook on the next steps in CEOS-ARD and the OGC SWG. The concept of “Analysis Ready Data” (ARD) was initially developed within the Committee on Earth Observation Satellite (CEOS). CEOS defines ARD as “satellite data that have been processed to a minimum set of requirements and organized into a form that allows immediate analysis with a minimum of additional user effort and interoperability both through time and with other datasets”. Over the course of the past few years CEOS has developed a number of so-called ‘Product Family Specifications’ (PFS) which cover a variety of different sensing methods and observed parameters. Institutional and commercial satellite data providers have accepted these specifications and by now a broad variety of satellite image products are available as “CEOS-ARD certified”. The growing popularity and demand of ARD by the user communities have led to calls for a more formal endorsement of respective standards. Over the past six months, the Open Geospatial Consortium (OGC) has therefore formed a Standards Working Group (SWG) which will pursue this task.
2023OpenGeoHub Foundation
27:20
24Maso, JoanDr. Joan Masó (m) is a Principal investigator of CREAF leading specialized group on geospatial interoperability, GIS, remote sensing. In this presentation, Joan showed that in order to make sense of sensor data, a data model that semantically tags the data is needed. Sensor Things API helps to map “data columns” to concepts (time, observed property, location, etc.), making the data machine-readable, and as a bonus, this structured API has rich query capabilities.
2023OpenGeoHub Foundation
07:25
11Franziskakis, FlorianFlorian Franziskakis has been working at the GEO Secretariat since 2019 where he was involved in the technical development of the GEO Knowledge Hub, and is now coordinating in situ related activities in GEO. Following his presentation, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts. - Dialogreihe https://earthobservations.org/geo_blog_obs.php?id=592 - ODOK-Workshop https://earthobservations.org/odok2023.php"
2023OpenGeoHub Foundation
18:16
11Franziskakis, FlorianFlorian Franziskakis has been working at the GEO Secretariat since 2019 where he was involved in the technical development of the GEO Knowledge Hub, and is now coordinating in situ related activities in GEO. During the OEMC Science Webinar, he showcased the community needs in terms of in situ data (collected from automated sensors, ground measurements in various thematic areas remains), following an inventory that was done with 28 activities from the GEO Work Programme. This presentation was a prelude to the Open Data and Open Knowledge (ODOK) workshop which took place in Geneva in June 15 and 16 2023, where these issues were addressed at length. - Dialogreihe https://earthobservations.org/geo_blog_obs.php?id=592 - ODOK-Workshop https://earthobservations.org/odok2023.php"
2023OpenGeoHub Foundation
05:33
9Soto Gómez, DiegoDr. Diego Soto Gómez (https://bidi.uvigo.es/es/investigador/diego-soto-gomez) is a postdoctoral researcher in the field of soil science, with expertise in areas such as soil physics and microbiology, tomography, image analysis and hydrology. Currently, he conducts his research at the University of Vigo (UVigo). Following his presentation, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts.
2023OpenGeoHub Foundation
22:49
20Zellner, PeterToday European scale research projects are not only limited to collaborative scientific advancements. They require joint cross-border, interdisciplinary development and operationalization of results following the principles of open source and FAIR data. The ADO Project (Alpine Drought Observatory, https://www.alpine-space.org/projects/ado/) is led by Eurac Research and relies on collaboration within research institutes of six alpine countries for creating a scientifically sound operational drought information web platform aiding decision makers on an alpine to regional level in managing water resources and drought impacts. The ADO web platform (https://ado.eurac.edu/) feeds on big data satellite and climate archives on the input side and shows curated drought information through an interactive web platform for stakeholders and decision makers. The presentation will guide through the concepts, operational maintenance and update and show the web platform in action.
2023OpenGeoHub Foundation
21:03
20Soto Gómez, DiegoDr. Diego Soto Gómez (https://bidi.uvigo.es/es/investigador/diego-soto-gomez) is a postdoctoral researcher in the field of soil science, with expertise in areas such as soil physics and microbiology, tomography, image analysis and hydrology. Currently, he conducts his research at the University of Vigo (UVigo). In addition to his work as a researcher, he coordinates the European project InBestSoil (Monetary valuation of soil ecosystem services and creation of initiatives to invest in soil health: setting a framework for the inclusion of soil health in business and in the policymaking process), within the framework of the Mission Soil of the Horizon Europe program. InBestSoil (https://cordis.europa.eu/project/id/101091099/es) is a research and innovation action funded under the call: Incentives and business models for soil health. The idea behind this project is to translate into monetary values the interventions that we make to improve the soil quality, as well as the ecosystem services provided by healthy soils. The project is going to be developed around nine case studies spread across Europe: three living labs and six lighthouses. For the economic valuation, we will combine Life Cycle Assessment (LCA) and Cost Benefit Analysis (CBA). On the one hand, the LCA is going to focus on the positive and negative impacts of producing healthy soils, i.e., the interventions used to improve soils. The results of the LCA will be one of the inputs to the CBA. For the CBA, the costs and benefits derived from ecosystem services will also be considered. And this valuation of ecosystem services will be made considering market values calculated directly; and non-market values, which will be determined through preference methods (contingent valuation or choice experiment) and benefit transfer methodologies.
2023OpenGeoHub Foundation
04:57
26Pebesma, EdzerEdzer Pebesma leads the spatiotemporal modelling lab at the Institute for Geoinformatics of the University of Münster. He is author of the book “Spatial Data Science: With applications in R” which appeared in May this year in print and is entirely available online on https://r-spatial.org/book/. Edzer is one of the initiators of openEO, a fresh approach to working with Earth observation data cubes in the cloud, and is an active contributor to the R-spatial community. Following this presentation, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts.
2023OpenGeoHub Foundation
19:38
50Pebesma, EdzerEdzer Pebesma leads the spatiotemporal modeling lab at the Institute for Geoinformatics of the University of Münster. The presentation he did was about discussing the concept of data cubes, cloud computing, and why openEO is a good idea to use for computing on large data cubes. It also discussed how machine learning and deep learning work, and showed how these methods can be applied to data cubes using openEO (which is a work in progress, really).
2023OpenGeoHub Foundation
20:23
8Brocca, LucaClimate change profoundly affects the global water, energy, and carbon cycle, increasing the likelihood and severity of extreme events. Better decision-support systems are essential to accurately predict and monitor environmental disasters and optimally manage water and environmental resources. A Digital Twin (DT) of the water and energy cycle over land would offer ground-breaking solutions for monitoring and simulation. Yet, it requires high-resolution (1 km, 1 hour-day) satellite Earth Observation (EO) data, fully integrated with advanced and spatially distributed modeling systems. Building a high-resolution DT over land is challenging due to: (i) the impact of human interventions on land processes through, e.g., irrigation, reservoir management, water diversion, land use and land cover changes, (ii) the need for actual high-resolution (1 km, 1 hour-day) input (e.g., precipitation, evaporation) and ancillary (e.g., soil texture, vegetation) data for characterizing the complexity of the system (for several variables, e.g., soil moisture and evaporation, ground data are scarce), and (iii) the complexity of integrating EO and modeling in a seamless, parsimonious and consistent manner for large-scale applications at high-resolution. The presentation shows the first results of the development of a DT for the water and energy cycle, as developed in the ESA DTE Hydrology project (http://hydrology.irpi.cnr.it/projects/dte-hydrology/), with applications in the Mediterranean basin for flood and landslide risk mitigation, and for water resources management (see the video (https://youtu.be/vf5wNv91nKA), the DTE Hydrology Platform (https://explorer.dte-hydro.adamplatform.eu/), and the DTE Hydrology Final Report (https://doi.org/10.5281/zenodo.8089044)).
2023OpenGeoHub Foundation
03:57
27Brocca, LucaLuca Brocca is Director of Research at the National Research Council, Research Institute for Geo-Hydrological Protection of (CNR-IRPI) in Perugia. His main research interest lies in the development of innovative methods for exploiting satellite observations (soil moisture, rainfall, river discharge) for hydrological applications including floods, landslides, rainfall, droughts, irrigation, and water resources management. Following his presentation at the OEMC Science Webinar, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts.
2023OpenGeoHub Foundation
05:15
8Cremer, FelixFelix Cremer has PhD study on time series analysis of hypertemporal Sentinel-1 radar data. He currently works at the Max-Planck-Institute for Biogeochemistry on the development of the JuliaDataCubes ecosystem in the scope of the NFDI4Earth project. The JuliaDataCubes organisation provides easy to use interfaces for the use of multi dimensional raster data. Following his presentation at the OEMC Science Webinar, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts.
2023OpenGeoHub Foundation
17:29
11Cremer, FelixIn this talk Felix Cremer presents how he is using the Julia programming language to process large raster data. Julia is an interactive scientific programming language, designed for HPC applications with primitives for Multi-threaded and Distributed computations built into the language. The main work is done by the YAXArrays.jl data cube framework in Julia. YAXArrays.jl provides functionality to deal with labelled arrays, similar to the xarray python package and it also provides efficient and easy multithreading and distributed computation of user defined functions along arbitrary slices of the data.YAXArrays.jl uses DiskArrays.jl in the backend to deal with out of memory datasets.
2023OpenGeoHub Foundation
03:04
15Blair, GordonProf. Gordon Blair is the Head of Environmental Digital Strategy at UKCEH. After his presentation on environmental digital twins during the OEMC Science Webinar, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts.
2023OpenGeoHub Foundation
16:04
13Blair, GordonDigital twins are increasingly important in many domains, including for understanding and managing the natural environment. Digital twins of the natural environment are fueled by the unprecedented amounts of environmental data now available from a variety of sources from remote sensing to potentially dense deployment of earth-based sensors. Because of this, data science techniques inevitably have a crucial role to play in making sense of this complex, highly heterogeneous data. This seminar reflects on the role of data science in digital twins of the natural environment, with particular attention on how resultant data models can work alongside the rich legacy of process models that exist in this domain. We seek to unpick the complex two-way relationship between data and process understanding. By focusing on the interactions, we end up with a template for digital twins that incorporates a rich, highly dynamic learning process with the potential to handle the complexities and emergent behaviors of this important area. The seminar also considers the important role that Digital Research Infrastructure can play in underpinning digital twin development, including supporting FAIR assets to underlying data and modeling resources as well as ensuring federation between digital twin structures.
2023OpenGeoHub Foundation
02:00
19Duveiller, GregoryGrégory Duveiller is the Project Leader at the Department of Biogeochemical Integration (BGI) of the Max Planck Institute for Biogeochemistry. Overall, his research aims to improve our understanding of the role of terrestrial ecosystems in the Earth System by using data-driven yet process-based thinking applied to satellite Earth Observation (remote sensing) data. Following his presentation, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts.
2024OpenGeoHub Foundation
Thinking land cover change beyond carbon: estimating biophysical effects from satellite observations
18:22
26Duveiller, GregoryThe terrestrial land surface uptakes almost a third of our global CO2 emissions, while land cover change, on average, still releases carbon to the atmosphere, mostly through processes of deforestation. Reversing this trend is crucial, while many further push to plant more forests to capture more carbon and mitigate emissions. However, changing the surface has further consequences on the climate beyond those involving carbon. More specifically, land cover change can affect the albedo of the surface, which affects the surface energy balance and thereby changes local temperature. The presence of forests can further generate clouds, which further affects the radiative regime. This talk describes these processes of land cover change and discusses how they can be assessed using satellite remote sensing observations, thanks to some methodological tools involving space-for-time substitution that are being improved and developed within the OEMC project.
2024OpenGeoHub Foundation
02:26
10Giuliani, GregoryGregory Giuliani is the Head of the Digital Earth Unit and Swiss Data Cube Project Leader at GRID-Geneva of the United Nations Environment Programme (UNEP) and a Senior Lecturer at the University of Geneva’s Institute for Environmental Sciences. Gregory’s research focuses on Land Change Science and how Earth observations can be used to monitor and assess environmental changes and support sustainable development. Interdisciplinary is a key element for generating new ideas and innovations in his research. Following this presentation, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts.
2024OpenGeoHub Foundation
22:32
18Giuliani, GregoryThe key to sustainable development is achieving a balance between the exploitation of natural resources for socioeconomic development and maintaining ecosystem services that are critical to human’s wellbeing and livelihoods. Some of these environmental issues can be monitored using remotely sensed Earth Observations (EO) data that are increasingly available from freely and openly accessible repositories. However, the full information potential of EO data has not been yet realized. They remain still underutilized mainly because of their complexity, increasing volume, and the lack of efficient processing capabilities. The EODC is a new paradigm revolutionizing the way users can interact with EO data. It lowers the barrier caused by Big Data challenges (e.g., Volume, Velocity, Variety) and provides access to large spatiotemporal data in an analysis ready format. It significantly reduces the time and scientific knowledge required to access and prepare EO data having consistent and spatially aligned calibrated surface reflectance observations. This talk presents how the EODC can be used to monitor environmental changes across countries and can enable more effective responses to problems of national and regional significance.
2024OpenGeoHub Foundation
17:41
92Camara, GilbertoThis webinar introduces sits, an open-source R package for land use and land cover classification of big Earth observation data using satellite image time series. Users build regular data cubes from cloud services such as Amazon Web Services, Microsoft Planetary Computer, NASA Harmonized Landsat-Sentinel, Brazil Data Cube, Swiss Data Cube and Digital Earth Africa. The SITS API includes assessing training sample quality, machine learning and deep learning classification algorithms, and Bayesian post-processing methods for smoothing and uncertainty assessment. To evaluate results, SITS supports best practice accuracy assessments.
2024OpenGeoHub Foundation
04:55
21Sanchez, AlberAlber Sánchez is a geoinformatician and researcher at the National Institute for Space Research in Brazil. Alber interests include Earth System Science, in particular Land Cover and Land Use change induced by fire in the Brazilian Amazon forest. Alber specializes in project management, information systems, and data science in the geographic information domain. Following this presentation, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts.
2024OpenGeoHub Foundation
18:15
15Sanchez, AlberBecause of the role of tropical forests in the Earth System, it is imperative to investigate forest degradation. Unlike slash cut, forest degradation is harder to spot by satellites, and its effects in the rain forest remain underestimated. An important part of Amazon degradation is induced by fire; however, the successive use of fire over the same area has often been overlooked. In this presentation, Alber Sanchez introduces it's team's efforts to answer this question using the Brazilian near real-time deforestation detection system (DETER). Although DETER was not designed for this kind of study, they found some answers in its data from 2016 to 2021.
2024OpenGeoHub Foundation
20:54
61Consoli, DavideSatellite images can be used to derive time series of vegetation indices, such as normalized difference vegetation index (NDVI) or enhanced vegetation index (EVI), at global scale. Unfortunately, recording artifacts, clouds, and other atmospheric contaminants impacts a significant portion of the produced images, requiring the usage of ad-hoc techniques to reconstruct the time series in the affected regions. In literature, several methods have been proposed for this scope, to the best of our knowledge, none of them provide an open source framework that can be applied to the reconstruction of remote sensing dataset of size in the order of PetaBytes with good performance and reasonable computational time. Davide Consoli presents here a new method that he and his team implemented in OpenGeoHub to tackle those challenges. In addition to the reconstructed time series, the method outputs a quality assessment layer to quantify the expected effectiveness of the reconstruction.
2024OpenGeoHub Foundation
13:50
10Fritz, SteffenIn this session a broad introduction to In-situ data and the definitions used was given. It provided an overview of authoritative and non-authoritative data sources, the importance of In-Situ data for training remote sensing deep learning models (showcasing WorldCover and C-GLOPS training data sets, etc.) and other citizen science data (e.g. iNATURALIST etc.). Methods for how in-situ data can be extracted from Mapillay and Streetview were also discussed.
2024OpenGeoHub Foundation
03:03
9Fritz, SteffenSteffen Fritz is a Program Director of the Strategic Initiatives Program and a principal research scholar in the Novel Data Ecosystems for Sustainability (NODES) Research Group of the IIASA Advancing Systems Analysis Program. Currently he is leading the development of the new Picture Pile Platform, which is funded by an ERC Proof of Concept Grant. Following this presentation, he was asked a few questions by OEMC’s Working Package 8 OpenGeoHub’s communication experts.
2024OpenGeoHub Foundation