Information technology assessment humidity, snow storage and flood risk on the basis of remote sensing data of different spectral regions
Acquirer: State Agency on Science, Innovations and Informatization of Ukraine (Ukrainian-Belarusian project)
Organisations: Space Research Institute NASU-NSAU
Project leader: Prof., Dr. Andrii Shelestov
Purpose of the project
Development of methods and information technology to process satellite data of different bands (optical and radar) for applications rated humidity,
snow storage and flood risk , creating a pilot version of a distributed system (geospatial services) to support decision-making by public authorities
in Ukraine and Belarus, and well as international organizations (UN-SPIDER).
| Contents of the project
Climate change has led to an increase in the intensity of rainfall, floods, droughts and other weather anomalies. Today the number of hydro-meteorological
emergencies occurring in the world, is constantly growing. Ukraine and Belarus are also affected by these phenomena. Effective use of satellite information
and solving important environmental monitoring, in particular, the estimates of soil moisture will greatly increase the security of society from hazards.
For effective monitoring and flood forecasting and managing the risks associated with them, you need to attract Earth observation data from space in different
spectral ranges. This will enable monitoring of large and inaccessible areas, and getting distributed measurements (in contrast to point ground-based observations).
In 2010, Ukraine has formed a regional support office (RSO - Regional Support Office) platform UN UN - SPIDER (United Nations Platform for Space - based Information
for Disaster Management and Emergency Response) on the use of space-based information for prevention and emergency response to emergencies Eastern European region.
At the same time, favorable conditions for SRI NASU - GKAU through the local office platform support UN - SPIDER within works on its program of satellite imagery
defined territories of Ukraine and neighboring countries in different wavelengths from different satellites .
Brief description of project
Ice conditions at the Kiev reservoir. Kiev, Ukraine. Aerial.
By involving geospatial data developed a mathematical model of risk assessment of adverse situations caused by various environmental factors. Developed model
was used to assess the agricultural risk -based geospatial information related to meteorological factors, such as soil moisture. The mathematical model and methods
for assessing the dynamics of snow cover and sea ice using satellite data. The accuracy and reliability of the developed methods. To implement geospatial service
architecture was developed and the corresponding structural model is built as a service-oriented system that underlies the Geoportal. The portal enables the
integration of not only local, but also geographically distributed information resources.
In March 2013 at the Kiev reservoir originated ice conditions, which could cause flooding in Kiev, so these GIS products have been rapidly (within 6.5 h.)
Provided to the National Space Agency of Ukraine and the State Service of Ukraine of Emergencies.
When carrying out research conducted research on the development and verification by ground-based measurement method flood mapping from satellite radar
data. A new method for estimating the probability density of floods on the basis of time series analysis of satellite data. The basic methods of constructing
vegetation indices and analyzed intelligent classification and prediction methods for solving problems of processing of geospatial data to analyze the risk
of adverse situations in the environment and soil moisture estimates using data from various sources.
Assessment of the risks of adverse situations in agriculture invited to perform in two phases: the first to solve the problem of segmentation earth's
surface and to provide a zone of influence of unfavorable situation (agricultural land), and the second-on the basis of the classification of crops and crop
condition assessment by satellite, terrestrial, and statistics to determine the probability density of the unfavorable situation on the basis of the ensemble
method of processing geospatial data.
The basic approaches and methods for assessing the moisture reserves of snow and ice cover dynamics using satellite data.
Additionally, for validation and estimation accuracy of the results obtained by aerial image, which showed matching satellite products.
Users created by the project research output can be:
State Space Agency of Ukraine.
Ministry of Ukraine of Emergencies and Affairs of Population Protection from the Consequences of the Chernobyl disaster.
Regional Support Office program UN - SPIDER.
International Charter "Space and Major Disasters".