| Performance evaluation of object based greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data: A case study from Almería (Spain) A Novelli, MA Aguilar, A Nemmaoui, FJ Aguilar, E Tarantino International journal of applied earth observation and geoinformation 52 …, 2016 | 173 | 2016 |
| Land use change impact on flooding areas: The case study of Cervaro Basin (Italy) C Apollonio, G Balacco, A Novelli, E Tarantino, AF Piccinni Sustainability 8 (10), 996, 2016 | 105 | 2016 |
| Mapping rural areas with widespread plastic covered vineyards using true color aerial data E Tarantino, B Figorito Remote Sensing 4 (7), 1913-1928, 2012 | 91 | 2012 |
| Accuracy assessment of per-field classification integrating very fine spatial resolution satellite imagery with topographic data M Caprioli, E Tarantino Journal of Geospatial Engineering 3 (2), 127-134, 2001 | 86 | 2001 |
| Calibration of the AquaCrop model for winter wheat using MODIS LAI images A Trombetta, V Iacobellis, E Tarantino, F Gentile Agricultural Water Management 164 (Part 2, 31 January 2016), 304–316, 2016 | 72 | 2016 |
| Combining ad hoc spectral indices based on LANDSAT-8 OLI/TIRS sensor data for the detection of plastic cover vineyard A Novelli, E Tarantino Remote Sensing Letters 6 (12), 933-941, 2015 | 52 | 2015 |
| A tree counting algorithm for precision agriculture tasks F Santoro, E Tarantino, B Figorito, S Gualano, AM D'Onghia International Journal of Digital Earth 6 (1), 94-102, 2013 | 49 | 2013 |
| Springer: Cham S Misra, O Gervasi, B Murgante, E Stankova, V Korkhov, C Torre, A Rocha, ... Switzerland 11622, 156-170, 2019 | 42 | 2019 |
| Landsat images classification algorithm (LICA) to automatically extract land cover information in Google Earth Engine environment A Capolupo, C Monterisi, E Tarantino Remote Sensing 12 (7), 1201, 2020 | 41 | 2020 |
| Semi-automatic detection of linear archaeological traces from orthorectified aerial images B Figorito, E Tarantino International Journal of Applied Earth Observation and Geoinformation 26 …, 2014 | 41 | 2014 |
| AssesSeg—A command line tool to quantify image segmentation quality: A test carried out in southern spain from satellite imagery A Novelli, MA Aguilar, FJ Aguilar, A Nemmaoui, E Tarantino Remote Sensing 9 (1), 40, 2017 | 40 | 2017 |
| Extracting Buildings from True Color Stereo Aerial Images Using a Decision Making Strategy E Tarantino, B Figorito Remote Sensing 3 (8), 1553-1567, 2011 | 37 | 2011 |
| A Class-Oriented Strategy for Features Extraction from Multidate ASTER Imagery N Crocetto, E Tarantino Remote Sensing 1 (4), 1171-1189, 2009 | 32 | 2009 |
| Evaluation of the consistency of simultaneously acquired Sentinel-2 and Landsat 8 imagery on plastic covered greenhouses MÁ Aguilar, R Jiménez-Lao, A Nemmaoui, FJ Aguilar, D Koc-San, ... Remote Sensing 12 (12), 2015, 2020 | 30 | 2020 |
| Urban features recognition from VHR satellite data with an object-oriented approach M Caprioli, E Tarantino ISPRS Proceedings of Commission IV Joint Workshop, Challenges in Geospatial …, 2003 | 30 | 2003 |
| Comparing the MLC and JavaNNS approaches in classifying multi-temporal LANDSAT satellite imagery over an ephemeral river area E Tarantino, A Novelli, M Aquilino, B Figorito, U Fratino Civil and Environmental Engineering: Concepts, Methodologies, Tools, and …, 2016 | 28 | 2016 |
| A data fusion algorithm based on the Kalman filter to estimate leaf area index evolution in durum wheat by using field measurements and MODIS surface reflectance data A Novelli, E Tarantino, U Fratino, V Iacobellis, G Romano, F Gentile Remote Sensing Letters 7 (5), 476-484, 2016 | 27 | 2016 |
| Evaluating the potential of GeoEye data in retrieving LAI at watershed scale M Aquilino, A Novelli, E Tarantino, V Iacobellis, F Gentile Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI 9239, 590-600, 2014 | 24 | 2014 |
| Monitoring spatial and temporal distribution of Sea Surface Temperature with TIR sensor data E Tarantino Italian Journal of Remote Sensing 44 (1), 97-107, 2012 | 24 | 2012 |
| Improving the ANN classification accuracy of landsat data through spectral indices and linear transformations (PCA and TCT) aimed at LU/LC monitoring of a river basin A Novelli, E Tarantino, G Caradonna, C Apollonio, G Balacco, F Piccinni Computational Science and Its Applications–ICCSA 2016: 16th International …, 2016 | 23 | 2016 |
Antonio NovelliBiomass PDGS Engineer c/o ESA-ESRIN at RHEA GroupVahvistettu sähköpostiosoite verkkotunnuksessa ext.esa.int
