About Vista
Projects
Current and completed projects
YPSGlobe
YPSGlobe will offer commodity traders, financial and insurance industry, ag industry and NGOs a weekly global wheat yield forecast on country level as production in tons, yield in t/ha plus a price reaction prognosis. YPSGlobe offers a European, independent, global product. This supports Europe taking on a leadership role in the world in terms of SDG 2 Zero Hunger, and lessens the reliance on other global players.
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CHILL-Y (CHIME + LSTM + ROSE-L: Assessment of Yield Quantity and Quality)
The goal of CHILL-Y – a project within the Sentinel Users Preparation (SUP) initiative – is to generate representative datasets of the three upcoming Sentinel Expansion missions CHIME, LSTM and ROSE-L. Based on these datasets a novel service for improved yield quantity and yield quality assessment will be demonstrated, which will be realised by VISTA in addition to the generation of the hyperspectral dataset. In summary, innovative algorithms and prototype solutions will utilize a new generation of future operational EO data, hyperspectral and thermal as well as L-band Radar data, in combination with physical crop growth and AI models.
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INFER (artIficial iNtelligence for Food sEcuRity)
Expanding the existing Food Security Explorer platform offering with new and innovative services based on operationally mature AI/ML software capabilities. The result will be a public service offering, capable of bringing together the processing and data access capabilities of the platform provider, users interested in offering training set and AI/ML models, and the EO science and application development community looking at how to use these technologies on EO data.
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EO4CarbonFarming
The aim of the project is to develop a service for monitoring, reporting and verification (MRV) of measures to sequestrate CO2 in agriculture.
The Vista approach integrates sophisticated Earth Observation methods with a combined physical land surface and plant growth model that can map the metabolism of the two essential elements carbon and nitrogen in soil and plant. This way carbon stocks in farming and their GHG impact can be estimated.
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ARIES – EO Africa
The goal of ARIES – a project within the EOAfrica Explorer – is to generate innovative products using hyperspectral and thermal satellite data for drought monitoring in Africa. The project will use ECOSTRESS and PRISMA data for the development and validation of new algorithms and EO data products. The lessons learned from the project will influence the design of future satellite missions (esp. LSTM and CHIME).
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STELAR
STELAR will develop a Knowledge Lake Management System (KLMS) to support FAIR and AI-ready data, (semi-)automatically turning a raw data lake into a knowledge lake.
VISTA’s main role is the lead of the pilot on “Early crop growth predictions”, which tackles the highly challenging and innovative problem of pushing crop development predictions much earlier in the season.
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Hyperpin
Development and demonstration of hyperspectral sensor technology and evaluation methods. Introducing automated generation of training data (pins) for the analysis of remote sensing data with artificial intelligence.
Project includes the development of a hyperspectral mission and instrument concept by Airbus and an innovative data fusion concept for commercial applications by Vista.
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Rainbow
he goal of this InCubed+ activity is to de-risk the development of an innovative hyperspectral instrument optimized for agricultural applications with significantly reduced costs and complexity compared to a traditional hyperspectral imager. It includes an immediate simulation of the effects of changes in the sensor specifications all the way up to the final products to find the best balance of on-board functionality versus ground segment functionality to allow for the smallest and lightest satellite design while keeping the highest quality for the smart farming products.
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EO4Carbon Farming
Feasibility study on the quantification of soil organic carbon (humus) content using earth observation data.
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Impact of COVID-19 on Harvest of Row Crops
The project wants to analyse whether the COVID-19 pandemic and associated containment measures had any disruptive effects on agricultural production and harvest patterns of row crops (maize, wheat, barley and rapeseed). Harvest dates and spatial patterns are investigated for the year 2020 with Sentinel-1 data for hundreds of thousands of parcels scattered throughout 19 European countries. The project builds on the extensive big data analysis framework of YPSILON®, which integrates phenological crop growth modelling with Sentinel-2 optical satellite data to monitor plant development and harvest progress. The radar data is added as an independent and high-resolution information source for the detection of harvest events.
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Nnnovative – Development and validation of demand-oriented services to support an optimised use of nitrogen fertilisers in agriculture
The aim of the project is the development and validation of demand-oriented services to support an optimised use of nitrogen fertilisers in agriculture. Heterogeneous and comprehensive environmental data (Copernicus data, meteorological data, site specific management data, geobase data, yield measurements) will be used for this purpose with innovative modelling and data analysis approaches and will be linked in a service tailored to the needs of the users.
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ExtremeEarth
The ExtremeEarth project develops extreme earth analytics techniques and technologies that scale to the petabytes of big Copernicus data, information and knowledge, and applies these technologies in two of the ESA TEPs: Food Security and Polar.
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VieWBay
The objective of the joint project ViewBay funded by the Bavarian State Ministry for Environment and Consumer Protection and supported by the Bavarian State Office for Environment is the precise calculation and documentation of spatial and temporal dynamics of water and material flows. The study area is the hydrological catchment area of Bavaria.
For this purpose, VISTA GmbH generates high-resolution, nationwide timeseries of environmental parameters. This information is largely derived from the Copernicus environmental satellites Sentinel 1A/B as well as Senitnel 2A/B and further free of charge remote sensing satellites. The environmental parameters and their timeseries will be provided with a spatial resolution of 10 m for all arable areas in Bavaria.
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ViWA
Virtual Water Values
ViWA aims at developing and using a global, high-spatial and -temporal resolution, remote sensing based management and monitoring system for the efficiency and sustainability of water use in agriculture and competing sectors. This enables to transparently and neutrally assess the progress in achieving water-related SDGs through more efficient use of water. The monitored high resolution data allows ViWa to consider both the “global” and the “local” in developing, formulating and analyzing trade-offs of practice-relevant solution options for a more sustainable and efficient use of water resources including a more environment-friendly trade with virtual water.
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SattGrün
Within the project, decision support systems for the management of grassland based on satellite data and modelling will be developed. They are intended to support farmers with regard to optimal mowing dates, fertilization and practicability of the areas. VISTA will work together with FarmFacts to develop a site-specific information service and thus work on offering the TalkingFields service for grassland areas as well.
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Food Security TEP
The innovative Food Security Thematic Exploitation Platform (FS-TEP) of ESA will foster smart agricultural and aquacultural applications in the scientific, private and public domain with immediate access to Earth Observation (EO) data, other related data and data processing tools.
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DAFNE
A Decision-Analytic Framework to explore the water-energy-food NExus in complex and trans-boundary water resources systems of fast growing developing countries
The overall objective of DAFNE is to establish a decision-analytic framework (DAF) for participatory and integrated planning of Water ressources in trans-boundary river basins in Africa. The DAF will be developed for the two river systems of the Sambesi and Omo river, taking into account existing and planned infrastructure and engaging local stakeholders and academic expertise. VISTA will provide data derived from satellite images to characterise the space-time variability of key parameters such as Leaf Area Index, fractional vegetation cover, water body characteristics etc.
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FireRisk
Enhanced Fire Risk Management through integration of C-/X- Band SAR Earth Observation Data and Environmental Modelling in Canada
R&D project to maximize the interoperable and synergistic use of C- and X-band SAR datasets to derive soil and forest dynamic products in the fire risk context, together with Canadian Partner Hatfield Consultants
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Polaris
User Needs and High-Level Requirements for Next Generation Observing Systems for the Polar Regions
The Polaris program will guide the development of the next generation of space infrastructure to support both scientific and operational information needs in the rapidly evolving Polar Regions.
Study with Polar View Earth Observation Ltd (lead) , C-Core, VTT and Airbus DS
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SnowSense
IAP Demonstration Project
Using satellite navigation, communication and remote sensing for timely access to high-quality and reliable information on snow.
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PloughStars
Winter Road Maintainance – IAP Feasability Study
Space Based Services for Winter Road Maintenance.
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SSEP Info-as-a-Service Stimulus
User Needs and High-Level Requirements for Next Generation Observing Systems for the Polar Regions
Project to increase value and use of Copernicus (satellite data through the establishment of Information-as-a-Service applications
by the linkage earth science with business environmente. Vista is performing use cases in the hydrological and agricultutural domain.
Partner: T-Systems and ZEBRIS
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EO4FOOD
Earth Observation Needs and Opportunities to Support Sustainable Agriculture and Development
VISTA is in charge of project coordination and management, the assessment of geo-information and EO monitoring needs.
Partners: LMU Munich – Department of Geography, Institute for the World Economy (IfW), Kiel
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MELODIES
Maximizing the Exploitation of Linked Open Data In Enterprise and Science
To combine multiple open data streams (including Earth Observation and government data) to develop innovative services in a broad range of societal benefit areas. VISTA is contributing by a site-specific information service for land management.
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LEO
Linked Open Earth Observation Data for Precision Farming
Development of software tools that support the whole life cycle of reuse of linked open EO data and related linked geospatial data.
To demonstrate the benefits of linked open EO data and its combination with linked geospatial data to the European economy, a precision farming application is developed that is heavily based on such data.
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SnowSense
IAP Fast Track Feasability Study
Using satellite navigation, communication and remote sensing for timely access to high-quality and reliable information on snow.
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myEOrganics
Mobile technology supporting sustainable agriculture
Development of a large scale demonstrator to show how to efficiently organise the regional support of emerging industries linked to innovative mobile services for organic certifiers in green farming.
VISTA: Technical lead, Partners: BavAIRia e.V. (project coordinator), Ecocert, Infopole, PC Agrar
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APPS4GMES
Development of operational products and services for GMES
Development of operational GMES services in the context of agriculture, water quality and quantity, environment and climate protection.
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M4Land
Model-based, multi-temporal and multi-sensor derivation of continuous land-management information
Research and development project in collaboration with the University of München (LMU), where new methods for model based image analyses are developed.
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Insurance Flood Mapping Service
Trial of an operational Flood Mapping Service for the Reinsurance Industry
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IWRM MoMo
Integrated Water Resources Management in Central Asia: Model Region Mongolia
Satellite data analysis for Helmholtz-Centre for Environmental Research (UFZ) Magdeburg
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CLIMB
Climate Induced Changes on the Hydrology of Mediterranean Basins – Reducing Uncertainty and Quantifying
Hydrological modelling in 2 Mediterranean catchments using remote sensing data as input under consideration of climate change
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TalkingFields
Satellite techniques for precision farming
Demonstration study for the integrative application of satellite techniques for agricultural services
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EORGANIC
Feasibility study for the development of remote sensing indicators for discrimination between organic and conventional fields
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RapidSAR
Integrative use of multitemporal RapideEye and TerraSAR-X data for agricultural monitoring
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TalkingFields
Satellite techniques for precision farming
Feasibility study for the integrative application of satellite techniques for agricultural services
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Sentinel-3 Land scene generator for Optical System Performance Simulator
Model and Software development for a land scene generator to simulate realistic Sentinel-3 data
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River monitoring of Main
Monitoring of surface of water with the hyperspectral sensor AVIS for deduction of phytoplankton, dissolved matter and macrophyte.
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Hyperspectral data analyses for agricultural applications in the frame of ENMAP
Literature review and consulting services to select methods for hyperspectral data analyses relevant for agricultural applications
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Kazakhstan environmental monitoring
Satellite based monitoring of natural preserve areas (lake district) and their temporal evolution
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ASAR soil moisture maps for the SMOS-validation study
Provision of large scale soil moisture maps with high spatial resolution, based on ENVISAT ASAR sensor
Subcontract from LMU Munich
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Simulation of ENMAP-like hyperspectral land scenes
Using radiative transfer models
Simulation of realistic data of the future hyperspectral satellite sensor EnMAP
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Generation of a Drainage Masterplan
Using Satellite Data, Standardized GIS-Methods and Hydraulic Modelling
Development of an operational processing chain for using satellite data for urban drainage planning
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Polar View
GMES Service Element
Provision of operational, remote sensing based snow services for the Alps and Central Europe
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Preagro
Research network on “Precision agriculture as technique for sustainable agricultural land use”
Canopy status assessment using remote sensing for model based yield estimation
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GMES / Sentinel-1 preparatory study
Demonstration of an operational soil moisture retrieval scheme form microwave satellite data (ASAR on ENVISAT)
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Integration of Earth Observation within the reinsurance industry
Analyses of satellite data for reinsurance industry
Subcontractor of an consortium led by SERTIT, F
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AQUIFER
Water in Africa – Internationally shared transboundary Aquifer Management
VISTA was responsible for revised land use classification and large scale water balance modelling in the SASS and Iullemeden aquifer
Subcontractor of an International consortium led by GAF AG, DE
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Satellite Imagery/Data Analysis Study along with Ground Truth and Meteorological Monitoring
Monitoring of land use and water consumption by crops through irrigation, water balance assessment
Subcontractor in a project led by GAF AG, D
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MASS-SER-D – Multiple Application Support Service System
Development of the web service and provision of daily information of snow covered area, the snow line, clouds and snow free areas using optical imagery
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Phase B studies for SPECTRA
Mission Concept using Earth System Models and Land Surface Experiments
Validation and accuracy assessments for a planned hyperspectral ESA mission using radiative transfer models
Subcontractor of an International consortium led by University of Strasbourg
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Macrophyte classification of Steinhuder Meer based on satellite data
Lake monitoring with multispectral satellite data
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Simulation of SPECTRA scenes in the VIS-SWIR window
Simulation of realistic data of the planned hyperspectral satellite sensor Spectra
Subcontractor of an International consortium led by NLR, NL
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Multispectral analysis with AVIS using the example of sugar beet
Remote sensing based monitoring of yield information of sugar beet cultivation
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Long Term Earth Observation Market Development of ENVISAT
Based Services Plain-Flood Monitoring
Market development of ENVISAT data for flood-mapping
Subcontractor of SERTIT, F
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INFERNO
Integration of remote sensing data in operational water balance and flood prediction modelling
Development of operational image analyses processing chains for hydrological applications. Information on soil moisture and snow cover for improvement of runoff prediction and flood forecast
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Monitoring of snow cover dynamics using satellite data
Monitoring of snow cover dynamics using optical and SAR sensors. Analysis of the potential of an operational service.
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GeoBIRD
The Retrieval of Geo- and Bio-Physical Information from Remote Sensing Data
Retrieval of Geo- and Bio-Physical Information from multisensoral remote sensing data using ERS and optical sensors (TM, SPOT) with a model-based approach.
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RAPHAEL
Runoff and Atmospheric Processes for flood hazard for forecasting and control
Development, implementation and demonstration the use of coupled meteorological and hydrological models at the regional scale.
Role: Subcontractor of an International consortium led by Università di Brescia, I
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Yield estimation using remote sensing data
Yield estimation for maize using remote sensing data
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Organization of a hyperspectral flight-campaign to assess the limnological and ecological condtions of the shore area of the Chiemsee
Deduction of a flight campaign with an imaging spectrometer to assess the limnological and ecological conditions of the shore area of lake Chiemsee
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Training: “Application of the TR-20 Model”, ”GIS and Remote Sensing for Hydrological Modelling” and “Advanced Remote Sensing Methods in Hydrology”
Preparation and conduction of a 6 week training of Indian scientists
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Combination of Synthetic Aperture Radar (SAR) and Optical Spectrometer Data in Aggregated Models
Combination of Synthetic Aperture Radar (SAR) and Optical Spectrometer Data in Aggregated Models
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Improvement of Flood monitoring and Flood management at upper Fodavari Becken (India) with remote sensing
Improvement of the Flood monitoring
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Improvement of the methodical basis of yield estimation of maize with remote sensing data
Improvement of the yield estimation of maize with remote sensing data
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Application of operational weather satellite data for flood forecasting
Improvement of flood forecasting using weather satellite data
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