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Publications (14)
Recent years have seen a tremendous increase of digital Earth Observation (EO) infrastructures, which provide web-based environments for accessing and processing data in a highly automated and scalable way. However, the current landscape of EO infrastructures and initiatives is fragmented, with various levels of user on-boarding and uptake success....
A spatiotemporal machine learning framework for automated prediction and analysis of long-term Land Use/Land Cover dynamics is presented. The framework includes: (1) harmonization and preprocessing of spatial and spatiotemporal input datasets (GLAD Landsat, NPP/VIIRS) including five million harmonized LUCAS and CORINE Land Cover-derived training sa...
A seamless spatiotemporal machine learning framework for automated prediction, uncertainty assessment, and analysis of land use / land cover (LULC) dynamics is presented. The framework includes: (1) harmonization and preprocessing of high-resolution spatial and spatiotemporal covariate datasets (GLAD Landsat, NPP/VIIRS) including 5 million harmoniz...
A seamless spatiotemporal machine learning framework for automated prediction, uncertainty assessment, and analysis of long-term LULC dynamics is presented. The framework includes: (1) harmonization and preprocessing of high-resolution spatial and spatiotemporal input datasets (GLAD Landsat, NPP/VIIRS) including 5~million harmonized LUCAS and CORIN...
A seamless spatiotemporal machine learning framework for automated prediction and analysis of long-term Land Use / Land Cover dynamics is presented. The framework includes: (1) harmonization and preprocessing of high-resolution spatial and spatiotemporal input datasets (GLAD Landsat, NPP/VIIRS) including 5 million harmonized LUCAS and CORINE Land C...
A spatiotemporal machine learning framework for automated prediction and analysis of long-term Land Use / Land Cover dynamics is presented. The framework includes: (1) harmonization and preprocessing of spatial and spatiotemporal input datasets (GLAD Landsat, NPP/VIIRS) including 5 million harmonized LUCAS and CORINE Land Cover-derived training sam...
This is the foreword to the Special Issue in the Baltic Journal of Modern Computing, which includes the papers originally submitted to the Academic Track of the FOSS4G Europe 2020 conference. The conference was canceled due to the COVID-19 restrictions, but the Scientific Committee responsible for the Academic Track still managed to publish the Spe...
The 17 goals adopted by the United Nations (UN) are aimed at achieving a better and more sustainable future for all. For each goal, a set of indicators has been defined. The indicators measure progress towards achieving the respective SDG. For the majority of these indicators, geospatial information is needed to evaluate the current state of the in...
The purpose of this paper is to present the state-of-art of groundwater geospatial information management, highlighting the relevant data model characteristics and technical implementation of the European Directive 2007/2/EC, also known as the INSPIRE Directive. The maturity of the groundwater geodata management systems is of crucial importance for...
Earth Observation (EO) can be defined as the gathering of information about Earth’s physical, chemical and biological systems using remote sensing technologies such as satellites and aerial sensors, supplemented (Science Communication Unit, 2013) by ground-based observations and other surveying techniques. EO is used to monitor and assess the statu...
In Europe as well as worldwide, the open data initiative is on an ascending trend. Even though globally, the support of civil society, private sector, legislators is considerable, the built frameworks must be adapted within each country context considering a multitude of parameters, that vary from economic and social awareness to technical and lega...
The concept of open data access is a very important topic nowadays. The
concept assumes that all data collected or generated by public sector
bodies (excepting personal data and data protected under existing
privacy protection or accessibility rules) is made publicly accessible
in commonly-used, machine-readable formats and can be re-used for any
p...
A map is worth a thousand words.
The Danube Delta, one of the most important wetlands in Europe, went through many transformations during the last century, mainly due to human interference. When analyzing the current state of this ecosystem, one must consider the historical changes that have a significant influence on the evolution of the delta. W...
