Research supported by Ventspils University College

Highlights: ·         Development of QGIS plugins and other software.

·         Methodology for automated preparation of 3D urban environment models.

·         SAR data processing for flood detection.

·         Data mining applications.

“Next generation information and communication technologies”, Project No. 4 “Jaunas paaudzes liela apjoma datu apstrādes sistēmas”,  subactivity “Urban remote sensing”

Duration: 2014 – 2017.
Partners: Liepājas Universitāte, Latvijas Universitātes Matemātikas un informātikas institūts.
Aim of the project or subactivity: The aim of the subactivity is development of methods for detection of specific urban objects using high spatial resolution remote sensing data.
Programme: State research programme.
Highlights: ·         Detection of urban areas using medium spatial resolution satellite data.

·         Land cover analysis using different spatial resolution data.

·         Methodology for land cover mapping using orthophotomaps and Lidar data.

·         Building extraction and 3D structure estimation using orthophotomaps and Lidar data.

·         Big data processing.

 “New European Wind Atlas” (NEWA) 

Duration: 2014 – 2019.
Partners: Partners from 8 countries.
Aim of the project or subactivity: The main aim of the project is development of new European wind atlas and improvement of models.
Programme: ERA-NET Plus.
Highlights: ·         Preparation of Lidar based surface models and noise filtering.

·         Land cover mapping using different spatial resolution data.

Implemented projects 

Research “Regional strategy on reduction of green-house gas emissions from buildings in largest cities in Kurzeme Planning region, using satellite imaging and state-of-the-art thermal auditing technologies” 

Duration: June, 2016 – October, 2016
Partners: Ventspils Augsto Tehnoloģiju Parks, nodibinājums „IDN Research”.
Aim of the project or subactivity: Activities of VIRAC were related with thermal data analysis for Liepaja city.
Programme: European Economic Area Financial Mechanism 2009–2014 Programme.
Highlights: ·         Landsat and aerial thermal data were analysed for application of thermal monitoring.

·         Quantitative roof analysis based on aerial and heat consumption data was performed.

·         Multiscale analysis including Landsat and aerial data was performed.

 “Geopositional early warning system integration for disaster prevention in the Baltic Sea” 

Duration: 01.05.2014. – 30.04. 2016.
Partners: Tallinn University of Technology, Marine Systems Institute, Flydog Solutions LLC, Finnish Meteorological Institute, Latvian Coast Guard Service, Swedish Meteorological and Hydrological Institute.
Aim of the project or subactivity: The main aim of the project is to develop the innovative observation data management system for marine information in the Baltic Sea region.
Programme: BONUS programme.
Highlights: ·         Developed software for Radar data automated downloading and pre-processing.

“Estimation of forest inventory parameters for afforested agricultural lands and non-inventoried forest lands using remote sensing data”

Duration: 07.04. 2014. – 31.05.2015.
Partners: LVMI “Silava”, SIA “Mikrokods”.
Aim of the project or subactivity: To develop methodology for identification of afforested agricultural lands using remote sensing data and to demonstrate application of this methodology for specific study sites.
Programme: ERDF activity “Competence Centres”.
Highlights: ·         Workflows for tree cover mapping using high and medium spatial resolution data.

·         Workflows are user friendly.

·         Demonstration of the workflows for study sites.

 „PureBiomass. Potential and Competitiveness of Biomass as Energy Source in Central Baltic Sea Region”

Duration: 01.01.2012. – 31.12.2013.
Partners: Kurzemes plānošanas reģions, Ventspils Pilsētas dome, Turku City, Turku University of Applied Sciences.
Aim of the project or subactivity: The aim of the subactivity was to estimate and map above ground biomass, bioenergy and forest inventory parameters for Kurzeme planning region using remote sensing data.
Programme: Central Baltic Interreg IV A Programme.
Highlights: ·         Data fusion: multispectral, Radar and Lidar data.

·         K nearest neighbour’s tests.

·         Thematic maps: forest areas, tree species, standing volume, above ground biomass, standing volume predictions until 2025.

“Signals related to Artificial Earth Satellites: Technologies of Receiving, Transmitting and processing”

Duration 02.12.2009. – 31.11.2012.
Aim of the project or subactivity: Different methods were evaluated for mapping of land cover, forest inventory parameters, coastline change, algae distribution and mathematical models were created for fire simulations.
Programme: European Social Fund.