| 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 | 468 | 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 | 338 | 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 | 296 | 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 | 216 | 2018 |
| The International Soil Moisture Network: serving Earth system science for over a decade W Dorigo, I Himmelbauer, D Aberer, L Schremmer, I Petrakovic, L Zappa, ... Hydrology and Earth System Sciences Discussions 2021, 1-83, 2021 | 198 | 2021 |
| Co-Orbital Sentinel 1 and 2 for LULC mapping with emphasis on wetlands in a mediterranean setting based on machine learning A Chatziantoniou, GP Petropoulos, E Psomiadis Remote Sensing 9 (12), 1259, 2017 | 181 | 2017 |
| 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 | 170 | 2011 |
| 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 | 158 | 2012 |
| Surface soil moisture retrievals over partially vegetated areas from the synergy of Sentinel-1 and Landsat 8 data using a modified water-cloud model Y Bao, L Lin, S Wu, KAK Deng, GP Petropoulos International journal of applied earth observation and geoinformation 72, 76-85, 2018 | 152 | 2018 |
| Land use/land cover in view of earth observation: Data sources, input dimensions, and classifiers—A review of the state of the art PC Pandey, N Koutsias, GP Petropoulos, PK Srivastava, E Ben Dor Geocarto International 36 (9), 957-988, 2021 | 151 | 2021 |
| 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 | 151 | 2010 |
| Actual evapotranspiration in drylands derived from in-situ and satellite data: Assessing biophysical constraints M García, I Sandholt, P Ceccato, M Ridler, E Mougin, L Kergoat, L Morillas, ... Remote Sensing of Environment 131, 103-118, 2013 | 139 | 2013 |
| 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 | 133 | 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 | 129 | 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 | 126 | 2017 |
| Hyperspectral remote sensing in precision agriculture: Present status, challenges, and future trends P Singh, PC Pandey, GP Petropoulos, A Pavlides, PK Srivastava, ... Hyperspectral remote sensing, 121-146, 2020 | 122 | 2020 |
| 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 | 117 | 2018 |
| 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 | 99 | 2015 |
| 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 | 95 | 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 | 94 | 2016 |
