Codrina Maria Ilie

Codrina Maria Ilie
Technical University of Civil Engineering of Bucharest · Groundwater Engineering Research Center "CCIAS"

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13
Publications
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16
Citations

Publications

Publications (13)
Article
Full-text available
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...
Preprint
Full-text available
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...
Preprint
Full-text available
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...
Preprint
Full-text available
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...
Preprint
Full-text available
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...
Article
Full-text available
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...
Article
Full-text available
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...
Article
Full-text available
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...
Technical Report
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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...
Conference Paper
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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...
Article
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...
Article
Full-text available
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...

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Projects

Projects (2)
Project
The overall objective of the project is to develop an original, web-based, scalable and modular system ("Geo-harmonizer") for hosting and accessing various thematic geospatial data layers (vector and raster GIS layers) to support cross-border services over the entire continental Europe. The team will create a data portal and a software suite extending a wide variety of free and open-source software solutions for geospatial data (FOSS4G) in combination with state-of-the-art Machine Learning algorithms, and will be made available within EU-supported High Performance Computing (HPC)/Cloud computing infrastructures. The functionality of the system will be demonstrated vis-à-vis a list of new, added-value, pan-EU data sets (seamless continental Europe cover time-series (2000-2020), environmental quality indicators and other products)