Within first 10 year of GEO development plans (2006-2015) our specialists have developed next pilot services and registered them on pilot GEOSS infrastructure.
Now we are actively participating in a number of global GEO projects and project within European FrameWork 7 and HORIZON 2020 Programs, in particular:
The main objective
The strengthening areas of European scientific of Earth exploration is the main objective of the project ЕRА-PLANET in the context of European participation in the international group GEO (Group of Earth Observation) and in the program Copernicus. Strengthening of European leadership is expected in the work plan on 2015-2025 years.
Our participation in the project
Space Research Institute NAS Ukraine and SSA Ukraine is included in the consortium as participant of project from Ukraine. The Institute is an active participant in the initiatives and plans of GEO comunity, in particular in the Global Agricultural Monitoring (GEOGLAM) program and in the Joint Experiment of Crop Assessment and Monitoring JECAM.Links:
GEOGLAM is the Group on Earth Observations Global Agricultural Monitoring Initiative. It was initially launched by the Group of Twenty (G20) Agriculture Ministers in June 2011, in Paris. The G20 Ministerial Declaration states that GEOGLAM “will strengthen global agricultural monitoring by improving the use of remote sensing tools for crop production projections and weather forecasting“. By providing coordinated Earth observations from satellites and integrating them with ground-based and other in-situ measurements, the initiative will contribute to generating reliable, accurate, timely and sustained crop monitoring information and yield forecasts.
The main objective of GEOGLAM is to reinforce the international community’s capacity to produce and disseminate relevant, timely and accurate forecasts of agricultural production at national, regional, and global scales by using Earth Observation data.
Space Research Institute of NAS and SSA of Ukraine together with Hydrometeorological Center of Ukraine provides agricultural production forecasting for main crop during vegetation season.
Joint Experiment of Crop Assessment and MonitoringAbout project
The overarching goal of JECAM is to reach a convergence of approaches, develop monitoring and reporting protocols and best practices for a variety of global agricultural systems. JECAM will enable the global agricultural monitoring community to compare results based on disparate sources of data, using various methods, over a variety of global cropping systems. It is intended that the JECAM experiments will facilitate international standards for data products and reporting, eventually supporting the development of a global system of systems for agricultural crop assessment and monitoring.Our participation in the project
JECAM Ukraine Project has three main goals:
- Crop area estimation using satellite data. To utilize a regression estimator to combine in-situ area frame sampling (AFS) surveys and crop maps derived from Earth remote sensing data.
- Crop classification using multi-polarization SAR data. To use satellite SAR data to better discriminate between crops with similar spectral-temporal behavior but different physical structure. To perform an analysis and find optimal combinations of polarizations and SAR modes to increase classification accuracy of agriculture crops.
- Adaptation of crop growth models. To use a time-series of in-situ and satellite measurements of crop and soil parameters to adapt crop growth models for a given territory for yield forecasting.
SIGMA – FP7 Project “Stimulating Innovation for Global Monitoring of Agriculture”About project
SIGMA presents a global partnership of expert institutes in agricultural monitoring, with a strong involvement in GEO and the Global Agricultural Geo-Monitoring (GEO-GLAM) initiative. SIGMA aims to develop innovative methods, based upon the integration of in-situ and earth observation data, to enable the prediction of the impact of crop production on ecosystems and natural resources.
The proposed project will address methods to:
- enable sharing and integration of satellite and in situ observations according to GEOSS Data CORE principles;
- assess the impact of cropland areas and crop land change on other ecosystems;
- understand and assess shifts in cultivation practices and cropping systems to evaluate impacts on biodiversity and the environment.
SIGMA implements activities in Europe, Russia, Ukraine, China, Vietnam, Africa, Argentina and Brazil and is financed through the EC’s Research Framework programme (FP7).Within the SIGMA project Space Research Institute has the next tasks
- To improve existing methods and techniques for crop mapping and agriculture land use monitoring methods using high-resolution remote sensing data;
- To estimate actual and potential crop yield using EO-based regression models for Ukraine;
- Annual crop types mapping using synergy of new optical and SAR data;
- Environmental impact analyses of land use and management changes at JECAM/Study sites ;
- Mapping of land-use and change at the regional level.
ESA R&D component of the GEOGLAM initiative and to the JECAMAbout project
The Sentinel-2 for Agriculture (Sen2-Agri) project has recently been launched by ESA, as a major contribution to the R&D component of the GEOGLAM initiative and to the JECAM network activities. The project will demonstrate the benefit of the Sentinel-2 mission for the agriculture domain across a range of crops and agricultural practices. The intention is to provide the international user community with validated algorithms to derive Earth Observation products relevant for crop monitoring.
In 2016 Space Research Institute of NAS and SSA of Ukraine provide country level demonstration for Sentinel-2 data usage.Links:
Land Use and Land Cover have been one of the first and main products from remote sensing data. Its dynamics are strongly influenced by socio-economic factors and political decisions, generating a need for adequate mapping and monitoring tools. As a consequence, robust and sophisticated analysis methods are required for accurate information extraction and fast and efficient data analysis adopted to the rapid advances in image and sensor technologies. Furthermore, multi-temporal and multi-sensor approaches are becoming more and more important not only for change detection but also for more detailed classification approaches. The EARSeL Special Interest Group on Land Use and Land Cover (SIG LULC) aims to bundle methodological and application-oriented research activities in this thematic field. The workshops shall form a platform for scientific exchange and discussion on a variety of related topics.
A major challenge for the LCLUC program management is to pull together the various land-cover and land-use research activities from the various programs and help the science community to be aware of the different projects and science results that are being generated in different parts of the program. To this end and since its inception, the program has held annual science team meetings both for scientists funded directly by LCLUC and those undertaking LCLUC research in other parts of the NASA Program to come together and share their findings.
On the base of in-situ data from JECAM-Ukraine test site specialists of Space Research Institute of NAS and SSA of Ukraine have built land cover maps for the territory of Ukraine in 1990, 2000 and 2010.
Insert an example of our classification map (with legend).