George P. Petropoulos
George P. Petropoulos
Department of Geography, Harokopio University, Athens, Greece
Verified email at - Homepage
Cited by
Cited by
Surface soil moisture retrievals from remote sensing: Current status, products & future trends
GP Petropoulos, G Ireland, B Barrett
Physics and Chemistry of the Earth, Parts A/B/C 83, 36-56, 2015
A review of Ts/VI remote sensing based methods for the retrieval of land surface energy fluxes and soil surface moisture
G Petropoulos, TN Carlson, MJ Wooster, S Islam
Progress in Physical Geography 33 (2), 224-250, 2009
Support vector machines and object-based classification for obtaining land-use/cover cartography from Hyperion hyperspectral imagery
GP Petropoulos, C Kalaitzidis, KP Vadrevu
Computers & Geosciences 41, 99-107, 2012
Burnt area delineation from a uni-temporal perspective based on Landsat TM imagery classification using Support Vector Machines
GP Petropoulos, C Kontoes, I Keramitsoglou
International Journal of Applied Earth Observation and Geoinformation 13 (1 …, 2011
A comparison of spectral angle mapper and artificial neural network classifiers combined with Landsat TM imagery analysis for obtaining burnt area mapping
GP Petropoulos, KP Vadrevu, G Xanthopoulos, G Karantounias, ...
Sensors 10 (3), 1967-1985, 2010
Hyperion hyperspectral imagery analysis combined with machine learning classifiers for land use/cover mapping
GP Petropoulos, K Arvanitis, N Sigrimis
Expert systems with Applications 39 (3), 3800-3809, 2012
A new synergistic approach for monitoring wetlands using Sentinels-1 and 2 data with object-based machine learning algorithms
A Whyte, KP Ferentinos, GP Petropoulos
Environmental Modelling & Software 104, 40-54, 2018
Co-Orbital Sentinel 1 and 2 for LULC mapping with emphasis on wetlands in a mediterranean setting based on machine learning
A Chatziantoniou, E Psomiadis, GP Petropoulos
Remote Sensing 9 (12), 1259, 2017
Towards improved spatio-temporal resolution soil moisture retrievals from the synergy of SMOS and MSG SEVIRI spaceborne observations
M Piles, GP Petropoulos, N Sánchez, Á González-Zamora, G Ireland
Remote Sensing of Environment 180, 403-417, 2016
Exploring the relationships between post-fire vegetation regeneration dynamics, topography and burn severity: A case study from the Montane Cordillera Ecozones of Western Canada
G Ireland, GP Petropoulos
Applied Geography 56, 232-248, 2015
Landscape transform and spatial metrics for mapping spatiotemporal land cover dynamics using Earth Observation data-sets
SK Singh, PK Srivastava, S Szabó, GP Petropoulos, M Gupta, T Islam
Geocarto international 32 (2), 113-127, 2017
Change detection of surface mining activity and reclamation based on a machine learning approach of multi-temporal Landsat TM imagery
GP Petropoulos, P Partsinevelos, Z Mitraka
Geocarto International 28 (4), 323-342, 2013
Discrimination of common Mediterranean plant species using field spectroradiometry
GPPCK Manevski, K., I. Manakos
International Journal of Applied Earth Observation and Geoinformation 13 …, 2011
A global Bayesian sensitivity analysis of the 1d SimSphere soil–vegetation–atmospheric transfer (SVAT) model using Gaussian model emulation
G Petropoulos, MJ Wooster, TN Carlson, MC Kennedy, M Scholze
Ecological Modelling 220 (19), 2427-2440, 2009
Examining the capability of supervised machine learning classifiers in extracting flooded areas from Landsat TM imagery: A case study from a Mediterranean flood
G Ireland, M Volpi, GP Petropoulos
Remote sensing 7 (3), 3372-3399, 2015
Quantifying land use/land cover spatio-temporal landscape pattern dynamics from Hyperion using SVMs classifier and FRAGSTATS®
S Lamine, GP Petropoulos, SK Singh, S Szabó, NEI Bachari, ...
Geocarto international 33 (8), 862-878, 2018
Combining ASTER multispectral imagery analysis and support vector machines for rapid and cost-effective post-fire assessment: a case study from the Greek wildland fires of 2007
GP Petropoulos, W Knorr, M Scholze, L Boschetti, G Karantounias
Natural hazards and earth system sciences 10 (2), 305-317, 2010
Remote Sensing of Energy Fluxes and Soil Moisture Content
GP Petropoulos
Taylor and Francis, CRC Press, 2013
Remote Sensing of Energy Fluxes and Soil Moisture Content
GP Petropoulos
Taylor & Francis, 2013
Erosion rate predictions from PESERA and RUSLE at a Mediterranean site before and after a wildfire: comparison & implications
M Karamesouti, GP Petropoulos, ID Papanikolaou, O Kairis, K Kosmas
Geoderma 261, 44-58, 2016
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