Antonio Lanorte
Orcid: 0000-0002-2463-4601
According to our database1,
Antonio Lanorte
authored at least 29 papers
between 2007 and 2023.
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Bibliography
2023
Fire Severity and Vegetation Recovery Determination Using GEE and Sentinel-2: The Case of Peschici Fire.
Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023
2022
Remote Sensing and Spatial Analysis for Land-Take Assessment in Basilicata Region (Southern Italy).
Remote. Sens., 2022
Remote. Sens., 2022
Land Use Change Evaluation in an Open-Source GIS Environment: A Case Study of the Basilicata Region (Southern Italy).
Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022
Abandoned Agricultural Areas: From Quantification to Qualification by Integration of GIS and Remote Sensing.
Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022
2021
Assessment and Monitoring of Soil Erosion Risk and Land Degradation in Arable Land Combining Remote Sensing Methodologies and RUSLE Factors.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
A Remote Sensing and Geo-Statistical Approaches to Mapping Burn Areas in Apulia Region (Southern Italy).
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
A Remote Sensing Methodology to Assess the Abandoned Arable Land Using NDVI Index in Basilicata Region.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
Soil Erosion and Land Degradation in Rural Environment: A Preliminary GIS and Remote-Sensed Approach.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
2020
Assessment of Post Fire Soil Erosion with ESA Sentinel-2 Data and RUSLE Method in Apulia Region (Southern Italy).
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Model of Post Fire Erosion Assessment Using RUSLE Method, GIS Tools and ESA Sentinel DATA.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
2019
Evolution of Soil Consumption in the Municipality of Melfi (Southern Italy) in Relation to Renewable Energy.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019
Trend Definition of Soil Consumption in the Period 1994-2014 - Municipalities of Potenza, Matera and Melfi.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019
2017
Comput. Electron. Agric., 2017
2016
Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016
Satellite Based Monitoring of Natural Heritage Sites: The Case Study of the Iguazu Park.
Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016
2015
Ecol. Informatics, 2015
Assessment of MODIS-Based NDVI-Derived Index for Fire Susceptibility Estimation in Northern China.
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015
On the Use of the Principal Component Analysis (PCA) for Evaluating Vegetation Anomalies from LANDSAT-TM NDVI Temporal Series in the Basilicata Region (Italy).
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015
2014
Quantifying Urban Sprawl with Spatial Autocorrelation Techniques using Multi-Temporal Satellite Data.
Int. J. Agric. Environ. Inf. Syst., 2014
Fisher-Shannon information plane analysis of SPOT/VEGETATION Normalized Difference Vegetation Index (NDVI) time series to characterize vegetation recovery after fire disturbance.
Int. J. Appl. Earth Obs. Geoinformation, 2014
2013
Multiscale mapping of burn area and severity using multisensor satellite data and spatial autocorrelation analysis.
Int. J. Appl. Earth Obs. Geoinformation, 2013
Satellite Time Series and in Situ Data Analysis for Assessing Landslide Susceptibility after Forest Fire: Preliminary Results Focusing the Case Study of Pisticci (Matera, Italy).
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013
2012
Using Spatial Autocorrelation Techniques and Multi-temporal Satellite Data for Analyzing Urban Sprawl.
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012
Low Cost Pre-operative Fire Monitoring from Fire Danger to Severity Estimation Based on Satellite MODIS, Landsat and ASTER Data: The Experience of FIRE-SAT Project in the Basilicata Region (Italy).
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012
2011
Pre and Post Fire Vegetation Behavioral Trends from Satellite MODIS/NDVI Time Series in Semi-natural Areas.
Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011
Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011
2010
On the Estimation of Fire Severity Using Satellite ASTER Data and Spatial Autocorrelation Statistics.
Proceedings of the Computational Science and Its Applications, 2010
2007
Int. J. Appl. Earth Obs. Geoinformation, 2007