BrainMap

Mr. Alexandru-Cosmin Grivei

Drd.

Researcher - Academia Tehnica Militara

Other affiliations

Phd Student - UNIVERSITATEA POLITEHNICA DIN BUCURESTI (Romania)

Researcher | Teaching staff

ResearcherID: AAB-1099-2019

Curriculum Vitae (14/10/2019)

Expertise & keywords

Multispectral Data Analysis Toolbox for SNAP Call name:
2017 - 2019

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Project website: http://ceospacetech.pub.ro/index.php/research/projects-esa/das-tool

Abstract:

Developed by ESA as part of the Copernicus Program, the Sentinel-2 (S2) mission was developed to perform terrestrial observations in support of services such as forest monitoring, land cover changes detection, and natural disaster management. With a systematic global coverage of land surfaces and a temporal resolution of 5 days, the S2 mission raises a great interest due to the augmented volume of medium resolution imagery it provides. Moreover, its multispectral instrument (MSI) is capable of measuring the radiation reflected by the Earth surface in 13 different intervals of the electromagnetic spectrum. Computer-based data analysis is highly required to extract similarity by processing and assist human understanding and semantic annotation.

Given these facts, the Multispectral Data Analysis Toolbox for SNAP – ESA’s SentiNel Application Platform (DAS-Tool) technical objectives are directed towards the elaboration of dedicated algorithms for content description and semantic analysis of Sentinel 2 data. Spectral band discovery for exploratory visual analysis will be added in support of MSI image understanding. A unitary data mining framework is envisaged in order to enhance relevant aspects and transpose the S2 data into actionable information.

Integrated platform for land/water monitoring based on remote and in situ measurements Call name:
Star-C3-Nr. 145 / 20.07.2017 2017 - 2019

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://ceospacetech.pub.ro/index.php/research/projects-national/rise

Abstract:

Ecosystems are providing essential services to humans. Food production, drinkable water, clean air, biodiversity support, climate regulation and nutrient cycling, mitigation of natural disasters, regulation of pests and diseases are just a few examples of ecosystem services of vital importance.
RISE (Integrated platform for land/water monitoring based on remote and in situ measurements) project will make significant progress beyond the state-of-the-art through the development of an integrated platform for aquatic and terrestrial ecosystems studies. Such a platform would integrate in-situ measurements (from automated sensors and monitoring programs) with Earth Observation – EO image analysis to provide data quality services to multiple applications.
The integrated platform would be an example of a highly instrumented site and should also act as a prototype for a nationally distributed monitoring network to support transparent and knowledge-based conservation and management policies.

Data Mining For Analysis And Exploitation Of Next Generation Of Time Series Call name:
2015 - 2017

Role in this project: Key expert

Coordinating institution: TERRASIGNA SRL

Project partners: TERRASIGNA SRL (); UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Project website:

Abstract:

INTRODUCTION AND OBJECTIVES
The main objective of the Data Mining For Analysis And Exploitation Of Next Generation Of Time Series (DAMATS) project is to study, develop and demonstrate a prototype for the extraction of information in Satellite Image Time Series (SITS). To achieve this, the following activities shall be addressed:
- Quick and effective generation of SITS;
- Definition and categorisation of classes with the same evolution in time (“categories of evolution”);
- Fast semantic searches of defined classes.
- The selection of SITS specific algorithms for the extraction of inherent information content;
- Benchmarking activities for relevant SITS, including additional information sources;
- Implementation and validation of prototypes with relevant user communities, with related services made available over a virtualized environment.
EXPECTED RESULTS
The DAMATS prototype shall contain several modules. The main ones are:
- Interactive, inteligent selection module, for generating SITS in accordance with several criteria: area of interest, time interval, sensor type, maximum precentage of cloud coverage, minimum percentage of a paticular Corine Land Cover class etc.
- Toolbox with instruments for extracting and analyzing information from SITS: change detection maps, classification in terms of "categories of evolution", single class definition through query by example techniques etc.
- Various visualization modes, for viewing original SITS and derived products.
- A set of application scenarios, to prove the usefulness of the prototype; it is expected that scenarios like deforestation, flooding, urban area extension, land use/cover evolution are to be found among selected issues.

The Multi-layer Geohazards Information System Concept for Urban Areas (URMA - urban risk mapping) Call name:
AO/1-8153/14/NL/CBi 2015 - 2017

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (); INSTITUTUL GEOLOGIC AL ROMANIEI (); TERRASIGNA SRL ()

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Project website: http://ceospacetech.pub.ro/index.php/urma-team

Abstract:

The Multi-layer Geohazards Information System Concept for Urban Areas (URMA - urban risk mapping) technical objectives are directed toward the definition of a concept system for interactive exploration of ground and land dynamics in urban areas,
corroborated by three complementary information layers which describe the geology, built-up dynamics and displacements. The project is focused on developing methodologies for displacements measurements, risk and vulnerability assessment
and mapping, based on InSAR and PS-InSAR methods

FILE DESCRIPTION	DOCUMENT
List of research grants as project coordinator or partner team leader
Significant R&D projects for enterprises, as project manager
R&D activities in enterprises
Peer-review activity for international programs/projects