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.|
|Highlights:||· Preparation of Lidar based surface models and noise filtering.
· Land cover mapping using different spatial resolution data.
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.|
|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 220.127.116.11.1. “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.|