| Hyperspectral remote sensing of fire: State-of-the-art and future perspectives S Veraverbeke, P Dennison, I Gitas, G Hulley, O Kalashnikova, T Katagis, ... Remote Sensing of Environment 216, 105-121, 2018 | 148 | 2018 |
| Assessing post-fire vegetation recovery using red–near infrared vegetation indices: Accounting for background and vegetation variability S Veraverbeke, I Gitas, T Katagis, A Polychronaki, B Somers, R Goossens ISPRS Journal of Photogrammetry and Remote Sensing 68, 28-39, 2012 | 130 | 2012 |
| Contribution of remote sensing to disaster management activities: A case study of the large fires in the Peloponnese, Greece IZ Gitas, A Polychronaki, T Katagis, G Mallinis International journal of remote sensing 29 (6), 1847-1853, 2008 | 74 | 2008 |
| Spectral mixture analysis to assess post-fire vegetation regeneration using Landsat Thematic Mapper imagery: Accounting for soil brightness variation S Veraverbeke, B Somers, I Gitas, T Katagis, A Polychronaki, R Goossens International Journal of Applied Earth Observation and Geoinformation 14 (1 …, 2012 | 63 | 2012 |
| Trend analysis of medium-and coarse-resolution time series image data for burned area mapping in a Mediterranean ecosystem T Katagis, IZ Gitas, P Toukiloglou, S Veraverbeke, R Goossens International journal of wildland fire 23 (5), 668-677, 2014 | 27 | 2014 |
| Assessing the accuracy of MODIS MCD64A1 C6 and FireCCI51 burned area products in Mediterranean ecosystems T Katagis, IZ Gitas Remote Sensing 14 (3), 602, 2022 | 21 | 2022 |
| A national fuel type mapping method improvement using sentinel-2 satellite data A Stefanidou, IZ Gitas, T Katagis Geocarto International 37 (4), 1022-1042, 2022 | 19 | 2022 |
| Comparison of global and continental land cover products for selected study areas in South Central and Eastern European Region I Manakos, M Tomaszewska, I Gkinis, O Brovkina, L Filchev, L Genc, ... Remote Sensing 10 (12), 1967, 2018 | 19 | 2018 |
| Soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) in Google Earth Engine (GEE) cloud-based platform S Papaiordanidis, IZ Gitas, T Katagis Бюллетень Почвенного института им. ВВ Докучаева, 36-52, 2019 | 14 | 2019 |
| Automated burned scar mapping using sentinel-2 imagery D Stavrakoudis, T Katagis, C Minakou, IZ Gitas Journal of Geographic Information System 12 (3), 221-240, 2020 | 13 | 2020 |
| Investigation of aggregation effects in vegetation condition monitoring at a national scale TK Alexandridis, T Katagis, IZ Gitas, NG Silleos, KM Eskridge, G Gritzas International Journal of Geographical Information Science 24 (4), 507-521, 2010 | 12 | 2010 |
| An object-based approach for fire history reconstruction by using three generations of landsat sensors T Katagis, IZ Gitas, GH Mitri Remote Sensing 6 (6), 5480-5496, 2014 | 10 | 2014 |
| Towards a fully automatic processing chain for operationally mapping burned areas countrywide exploiting Sentinel-2 imagery D Stavrakoudis, T Katagis, C Minakou, IZ Gitas Seventh International Conference on Remote Sensing and Geoinformation of the …, 2019 | 9 | 2019 |
| Burned area mapping and post-fire monitoring of a Mediterranean forest using NDVI time-series of low resolution imagery and the BFAST method Mapeamento de área queimada e … IZ Gitas, T Katagis, P Toukiloglou Ambiência 8 (4), 461-470, 2012 | 7 | 2012 |
| Land cover/use mapping using object based classification of SPOT imagery K Dimitrakopoulos, IZ Gitas, A Polychronaki, T Katagis, C Minakou Remote Sensing for Science, Education, and Natural and Cultural Heritage …, 2010 | 7 | 2010 |
| An automated two-step NDVI-based method for the production of low-cost historical burned area map records over large areas P Toukiloglou, IZ Gitas, T Katagis International Journal of Remote Sensing 35 (7), 2713-2730, 2014 | 6 | 2014 |
| Monitoring land use/cover change with the use of object based image analysis and Landsat imagery I Gitas, M Meliadis, T Katagis, A Polychronaki, I Meliadis 3rd Workshop of the EARSeL Special Interest Group on Land Use and Land Cover …, 2009 | 5 | 2009 |
| Extended analysis of SMOS salinity retrieval by using support vector regression (SVR) D Rains, R Sabia, D Fernández-Prieto, M Marconcini, T Katagis 2014 IEEE Geoscience and Remote Sensing Symposium, 2265-2268, 2014 | 4 | 2014 |
| On the assessment of SMOS salinity retrieval by using support vector regression (SVR) R Sabia, M Marconcini, T Katagis, D Fernández-Prieto, M Portabella 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 1555 …, 2013 | 4 | 2013 |
| Developing MODIS time series for monitoring vegetation condition: preliminary results T Katagis, I Gitas, T Alexandridis, C Topaloglou, N Silleos Proceedings of 26th Symposium of European Association of Remote Sensing …, 2006 | 4 | 2006 |
