Gintautas Mozgeris

According to our database, Gintautas Mozgeris authored at least 10 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Predicting Tree Growth and Transpiration in Forests: An Analysis of a Small-Scale Dataset With Pareto Optimized Tsaug Augmentation.

Rytis Maskeliunas, Robertas Damasevicius, Modupe Odusami, Diana Sidabriene, Algirdas Augustaitis, Gintautas Mozgeris

Int. J. Interact. Multim. Artif. Intell., 2025

2023

Detecting, Analyzing, and Predicting Land Use/Land Cover (LULC) Changes in Arid Regions Using Landsat Images, CA-Markov Hybrid Model, and GIS Techniques.

Salman A. H. Selmy, Dmitry Kucher, Gintautas Mozgeris, Ali R. A. Moursy, Raimundo Jimenez-Ballesta, Olga D. Kucher, Mohamed E. Fadl, Abdel-rahman A. Mustafa

Remote. Sens., December, 2023

A Statistical Dependence Framework Based on a Multivariate Normal Copula Function and Stochastic Differential Equations for Multivariate Data in Forestry.

Ricardas Krikstolaitis, Gintautas Mozgeris, Edmundas Petrauskas, Petras Rupsys

Axioms, May, 2023

2021

Operationalization of Remote Sensing Solutions for Sustainable Forest Management.

Gintautas Mozgeris, Ivan Balenovic

Remote. Sens., 2021

2019

Critical Analysis of Urban Vegetation Mapping by Satellite Multispectral and Airborne Hyperspectral Imagery.

Sébastien Gadal, Walid Ouerghemmi, Romain Barlatier, Gintautas Mozgeris

Proceedings of the 5th International Conference on Geographical Information Systems Theory, 2019

2018

Ultra-Light Aircraft-Based Hyperspectral and Colour-Infrared Imaging to Identify Deciduous Tree Species in an Urban Environment.

Gintautas Mozgeris, Vytaute Juodkiene, Donatas Jonikavicius, Lina Straigyte, Sébastien Gadal, Walid Ouerghemmi

Remote. Sens., 2018

Urban vegetation mapping by airborne hyperspetral imagery; feasibility and limitations.

Walid Ouerghemmi, Sébastien Gadal, Gintautas Mozgeris, Donatas Jonikavicius

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Urban Vegetation Mapping Using Hyperspectral Imagery and Spectral Library.

Walid Ouerghemmi, Sébastien Gadal, Gintautas Mozgeris

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Urban objects classification by spectral library: Feasibility and applications.

Walid Ouerghemmi, Sébastien Gadal, Gintautas Mozgeris, Donatas Jonikavicius, Christiane Weber

Proceedings of the Joint Urban Remote Sensing Event, 2017

2016

Hyperspectral and color-infrared imaging from ultralight aircraft: Potential to recognize tree species in urban environments.

Gintautas Mozgeris, Sébastien Gadal, Donatas Jonikavicius, Lina Straigyte, Walid Ouerghemmi, Vytaute Juodkiene

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016