Investigation of aggregation effects in vegetation condition monitoring at a national scale. - Thomas K. Alexandridis; Thomas Katagis; Ioannis Z. Gitas; Nikolaos G. Silleos; K. M. Eskridge; G. Gritzas (Int. J. Geogr. Inf. Sci., 2010)

Preliminary results of SMOS salinity retrieval by using Support Vector Regression (SVR). - Roberto Sabia; Mattia Marconcini; Thomas Katagis; Diego Fernández-Prieto; Justino Martínez; Marcos Portabella (IGARSS, 2012)

Spectral mixture analysis to assess post-fire vegetation regeneration using Landsat Thematic Mapper imagery: Accounting for soil brightness variation. - Sander Veraverbeke; Ben Somers; Ioannis Z. Gitas; Thomas Katagis; Anastasia Polychronaki; Rudi Goossens (Int. J. Appl. Earth Obs. Geoinformation, 2012)

On the assessment of SMOS salinity retrieval by using Support Vector Regression (SVR). - Roberto Sabia; Mattia Marconcini; Thomas Katagis; Diego Fernández-Prieto; Marcos Portabella (IGARSS, 2013)

Extended analysis of SMOS salinity retrieval by using support vector regression (SVR). - Dominik Rains; Roberto Sabia; Diego Fernández-Prieto; Mattia Marconcini; Thomas Katagis (IGARSS, 2014)

An Object-Based Approach for Fire History Reconstruction by Using Three Generations of Landsat Sensors. - Thomas Katagis; Ioannis Z. Gitas; George H. Mitri (Remote. Sens., 2014)

Development of Methodologies and Standardized Services for Supporting Forest Economics. - Thomas Katagis; Nikolaos Grammalidis; Evangelos Maltezos; Vasiliki Charalampopoulou; Ioannis Z. Gitas (MTSR, 2018)

Comparison of Global and Continental Land Cover Products for Selected Study Areas in South Central and Eastern European Region. - Ioannis Manakos; Monika Tomaszewska; Ioannis Gkinis; Olga V. Brovkina; Lachezar Filchev; Levent Genc; Ioannis Z. Gitas; Andrej Halabuk; Melis Inalpulat; Anisoara Irimescu; Georgi Jelev; Konstantinos Karantzalos; et al. (Remote. Sens., 2018)

Assessing the Accuracy of MODIS MCD64A1 C6 and FireCCI51 Burned Area Products in Mediterranean Ecosystems. - Thomas Katagis; Ioannis Z. Gitas (Remote. Sens., 2022)