Ioannis Gitas
Ioannis Gitas
Professor of Remote Sensing and GIS, Aristotle University of Thessaloniki
Verified email at - Homepage
Cited by
Cited by
Historical background and current developments for mapping burned area from satellite Earth observation
E Chuvieco, F Mouillot, GR Van der Werf, J San Miguel, M Tanase, ...
Remote Sensing of Environment 225, 45-64, 2019
Vegetation indices: advances made in biomass estimation and vegetation monitoring in the last 30 years
NG Silleos, TK Alexandridis, IZ Gitas, K Perakis
Geocarto International 21 (4), 21-28, 2006
Multi-temporal soil erosion risk assessment in N. Chalkidiki using a modified USLE raster model
IZ Gitas, K Douros, C Minakou, GN Silleos, CG Karydas
EARSel eproceedings 8 (1), 40-52, 2009
Object-based image classification for burned area mapping of Creus Cape, Spain, using NOAA-AVHRR imagery
IZ Gitas, GH Mitri, G Ventura
Remote Sensing of Environment 92 (3), 409-413, 2004
A classification of water erosion models according to their geospatial characteristics
CG Karydas, P Panagos, IZ Gitas
International Journal of Digital Earth 7 (3), 229-250, 2014
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
Vegetation biomass estimation with remote sensing: focus on forest and other wooded land over the Mediterranean ecosystem
G Galidaki, D Zianis, I Gitas, K Radoglou, V Karathanassi, M Tsakiri–Strati, ...
International journal of remote sensing 38 (7), 1940-1966, 2017
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
Assessment of the visual impact of marble quarry expansion (1984–2000) on the landscape of Thasos island, NE Greece
GD Mouflis, IZ Gitas, S Iliadou, GH Mitri
Landscape and urban planning 86 (1), 92-102, 2008
Advances in remote sensing of post-fire vegetation recovery monitoring—A review
I Gitas, G Mitri, S Veraverbeke, A Polychronaki
Remote sensing of biomass-Principles and applications 1, 334, 2012
Assessment of water quality parameters using temporal remote sensing spectral reflectance in arid environments, Saudi Arabia
M Elhag, I Gitas, A Othman, J Bahrawi, P Gikas
Water 11 (3), 556, 2019
Seasonal monitoring of soil erosion at regional scale: An application of the G2 model in Crete focusing on agricultural land uses
P Panagos, K Christos, B Cristiano, G Ioannis
International Journal of Applied Earth Observation and Geoinformation 27 …, 2014
A semi-automated object-oriented model for burned area mapping in the Mediterranean region using Landsat-TM imagery
GH Mitri, IZ Gitas
International Journal of Wildland Fire 13 (3), 367-376, 2004
Mapping forest fuels through vegetation phenology: The role of coarse-resolution satellite time-series
S Bajocco, E Dragoz, I Gitas, D Smiraglia, L Salvati, C Ricotta
PloS one 10 (3), e0119811, 2015
Monthly soil erosion monitoring based on remotely sensed biophysical parameters: a case study in Strymonas river basin towards a functional pan-European service
P Panagos, CG Karydas, IZ Gitas, L Montanarella
International Journal of Digital Earth 5 (6), 461-487, 2012
Evaluation of spatial interpolation techniques for mapping agricultural topsoil properties in Crete
CG Karydas, IZ Gitas, E Koutsogiannaki, N Lydakis-Simantiris, GN Silleos
EARSeL eProceedings 8 (1), 26-39, 2009
A performance evaluation of a burned area object-based classification model when applied to topographically and non-topographically corrected TM imagery
GH Mitri, IZ Gitas
International Journal of Remote Sensing 25 (14), 2863-2870, 2004
The development of an object-oriented classification model for operational burned area mapping on the Mediterranean island of Thasos using LANDSAT TM images
GH Mitri, IZ Gitas
Forest Fire Research & Wildland Fire Safety, 1-12, 2002
Estimating Mediterranean forest parameters using multi seasonal Landsat 8 OLI imagery and an ensemble learning method
I Chrysafis, G Mallinis, I Gitas, M Tsakiri-Strati
Remote Sensing of Environment 199, 154-166, 2017
Mapping post-fire forest regeneration and vegetation recovery using a combination of very high spatial resolution and hyperspectral satellite imagery
GH Mitri, IZ Gitas
International Journal of Applied Earth Observation and Geoinformation 20, 60-66, 2013
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