- Pourghasemi HR, A Gayen, R Lasaponara, JP Tiefenbacher, 2020. Application of learning vectorquantization and different machine learning techniques to assessing forest fire influence factors andspatial modelling Environmental Research, 109321
- Lasaponara R, B Tucci 2019 Identification of Burned Areas and Severity Using SAR Sentinel-1 IEEEGeoscience and Remote Sensing Letters 16 (6), 917-921
- Lasaponara R., M Proto A. Aromando, G. Cardettini, V. Varela, M. Danese, 2019 On the mapping of burntareas and burn severity using Self Organizing Map and Sentinel 2 data IEEE Geoscience and RemoteSensing Letters -GRSL-00413-2019.R3
- Lasaponara R, B Tucci, L Ghermandi 2018 On the Use of Satellite Sentinel 2 Data for Automatic Mappingof Burnt Areas and Burn Severity Sustainability 10 (11), 3889.
- Lasaponara R, et all (autori vari) 2019 Rapporto tecnico Studio ed Analisi di dati Sentinel 1 e Sentinel 2 per la stima della fire severity in Basilicata Protezione civile della Regione Basilicata 2019 prot.N.156/2019
- Lasaponara R, et all (autori vari) 2019 Rapporto tecnico Studio ed Analisi di dati Sentinel 1 e Sentinel 2per la stima della fire severity in Basilicata Protezione civile della Regione Basilicata 2018 prot. N.279/2018
- Lasaponara R, et all (autori vari) 2019 Rapporto tecnico Studio ed Analisi di dati Sentinel 1 e Sentinel 2per la stima della fire severity in Basilicata Protezione civile della Regione Basilicata 2018 prot. N.279/2018
- Cesare Spera 2018 Studio ed Analisi di dati Sentinel 1 per la stima della fire severity in BasilicataUniversità degli Studi della Basilicata (tutor dott. Ing. Rosa Lasaponara) Tesi di laurea disponibile pressoUNIBAS
- Li X, A Lanorte, R Lasaponara, M Lovallo, W Song, L Telesca Fisher–Shannon and detrended fluctuationanalysis of MODIS normalized difference vegetation index (NDVI) time series of fire-affected and fire unaffected pixels Geomatics, Natural Hazards, and Risk 8 (2), 1342-1357
- Lanorte A, T Manzi, G Nolè, R Lasaponara 2015 On the use of the Principal Component Analysis (PCA) forevaluating vegetation anomalies from LANDSAT-TM NDVI temporal series in the Basilicata regi (Italy)International Conference on Computational Science and Its Applications, Springer pp. 204-216
- Li X, A Lanorte, L Telesca, W Song, R Lasaponara 2015 Assessment of MODIS-Based NDVI-Derived Indexfor Fire Susceptibility Estimation in Northern China International Conference on Computational Scienceand Its Applications, Springer pp. 193-203
- Patent Lasaponara R & Lanorte A. 2009 An Integrated system for Fire monitoring Patent prot. 408719del 24 agosto 2009 sistema di lotta attiva agli incendi boschivi, n. 2008 A0016
- Lanorte A, R Lasaponara, M Lovallo, L Telesca 2014 Fisher–Shannon information plane analysis of SPOT/VEGETATION Normalized Difference Vegetation Index (NDVI) time series to characterizevegetation recovery after fire disturbance International Journal of Applied Earth Observation andGeoinformation 26 441-446
- Lanorte A, R Lasaponara 2013 FIRE-SAT un sistema satellitare per il monitoraggio sistematico, dinamicoed integrato degli incendi boschivi: la sperimentazione operativa nella regione Basilicata GEOmedia 16(5)
- Lasaponara R Geospatial analysis from space: Advanced approaches for data processing, informationextraction and interpretationInternational Journal of Applied Earth Observation and Geoinformation 20,1-3
- Lanorte A, M Danese, R Lasaponara, B Murgante Multiscale mapping of burn area and severity usingmultisensor satellite data and spatial autocorrelation analysis International Journal of Applied EarthObservation and Geoinformation 20, 42-51
- L. Telesca, R. Coluzzi, and R. Lasaponara, investigating urban pattern morphology time variation insouthern Italy by using Landsat imagery, International Journal of Computer Science and SoftwareTechnology, in press, 2008.
- L. Ghermandi, R. Lasaponara, and L. Telesca, Intra-annual time dynamical patterns of fire sequencesobserved in Patagonia (Argentina), Ecological Modelling, in press, 2008 (Impact Factor: 2007 =2.077)
- L. Telesca, R. Lasaponara, Analysis of time-scaling properties in forest-fire sequence observed in Italy,Ecological Modelling, (in press), 2009. (Impact Factor: 2007 =2.077)
- Lanorte A. and Lasaponara R. 2008. Fuel type characterization based on coarse Resolution MODIS satellite data i Forest Biogeosciences and Forestry vol. 1, 60-64
- Corral, L. Telesca and R. Lasaponara Scaling and correlations in the dynamics of forest-fire occurrence,Phys. Rev. E, 77, 016101, 2008. (Impact Factor: 2007 =2.48)
- D. Tuia, F. Ratle, R. Lasaponara, L. Telesca, M. Kanevski, Scan statistics analysis of forest fire clusters,Comm. Nolin. Sci. Numer. Simul., 13, 1689-1694, 2008
- L. Telesca and R. Lasaponara, Investigating fire-induced behavioural trends in vegetation covers, Comm.Nonlin. Anal. Numeric. Simul., 13, 2018-2023, 2008
- L. Telesca, R. Lasaponara, and A. Lanorte, Intra-annual dynamical persistent mechanisms inMediterranean ecosystems revealed SPOT-VEGETATION Time Series, Ecological Complexity, 5, 151-156,2008 ( Impact Factor:2007=1.66)
- D. Tuia, R. Lasaponara, L. Telesca, and M. Kanevski, Emergence of space-clustering temporal patterns in forest-fire sequences, Physica A, 387, 3271-3280, 2008. (Impact Factor: 2007 =1.430)
- Masini, N. Rizzo E., Lasaponara R., and Orefici G. 2008, Integrated remote sensing techniques for the detection of buried archaeological adobe structures: preliminary results in Cahuachi (Peru), in Advances in Geosciences, pp 75-82 (available on line http://www.adv-geosci.net/19/index.html)
- Lasaponara R., N. Masini, and G. Scardozzi, 2008 New perspectives for satellite-based archaeological research in the ancient territory of Hierapolis (Turkey) in Advances in Geosciences, pp. 87-96 (available online http://www.adv-geosci.net/19/index.html)
- Fiorucci P., F. Gaetani, A. Lanorte and Lasaponara R., 2007 “Dynamic fire danger mapping from satellite imagery and meteorological forecast data” Earth Interactions. Vol. 11, 1-17. (Impact Factor: 2007 =1.8
- Lasaponara R., and A. Lanorte, 2007, On the capability of satellite VHR QuickBird data for fuel type characterization in fragmented landscape. Ecological Modelling in press (ECOMOD845R1) 204, 79-84(Impact Factor: 2007 =1.8)
- Lasaponara R., and A. Lanorte, 2007. “Remotely sensed characterization of forest fuel types by using satellite ASTER data” International Journal of Applied Earth Observations and Geoinformation vol. 9 225(Impact Factor: 2007 =1.534)
- Lanorte A., and Lasaponara R., 2007. “Fuel type characterization based on coarse resolution Modissatellite data. Forest@ vol 4, N. 2 235-243.
- D. Tuia, R. Lasaponara, L. Telesca and M. Kanevski, Identifying spatial clustering phenomena in forest fire sequences, Physica A, 376, 596-600, 2007. (Impact Factor: 2007 =1.43)
- L. Telesca and R. Lasaponara, Long-range persistent correlations in decade-long SPOT-VGT NDVI recordsof fire affected and fire un-affected sites, African J. Agricultural Res., 2, 36-40, 2007.
- L. Telesca, G. Amatucci, R. Lasaponara, M. Lovallo and M. J. Rodrigues, Space-time fractal properties ofthe forest-fire series in central Italy, Comm. Nonlin. Anal. Numeric. Simul., 12, 1326-1333, 2007
