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Pre and Post Fire Vegetation Behavioral Trends from Satellite MODIS/NDVI Time Series in Semi-natural Areas.

, , , and . ICCSA (2), volume 6783 of Lecture Notes in Computer Science, page 330-343. Springer, (2011)

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On the Use of the Principal Component Analysis (PCA) for Evaluating Vegetation Anomalies from LANDSAT-TM NDVI Temporal Series in the Basilicata Region (Italy)., , , and . ICCSA (4), volume 9158 of Lecture Notes in Computer Science, page 204-216. Springer, (2015)Assessment of Post Fire Soil Erosion with ESA Sentinel-2 Data and RUSLE Method in Apulia Region (Southern Italy)., , , , , , , and . ICCSA (4), volume 12252 of Lecture Notes in Computer Science, page 590-603. Springer, (2020)Evolution of Soil Consumption in the Municipality of Melfi (Southern Italy) in Relation to Renewable Energy., , , , , and . ICCSA (3), volume 11621 of Lecture Notes in Computer Science, page 675-682. Springer, (2019)Model of Post Fire Erosion Assessment Using RUSLE Method, GIS Tools and ESA Sentinel DATA., , , , , , and . ICCSA (5), volume 12253 of Lecture Notes in Computer Science, page 505-516. Springer, (2020)On the Estimation of Fire Severity Using Satellite ASTER Data and Spatial Autocorrelation Statistics., , , and . ICCSA (1), volume 6016 of Lecture Notes in Computer Science, page 361-373. Springer, (2010)A Remote Sensing and Geo-Statistical Approaches to Mapping Burn Areas in Apulia Region (Southern Italy)., , , , , , and . ICCSA (6), volume 12954 of Lecture Notes in Computer Science, page 670-681. Springer, (2021)Fisher-Shannon information plane analysis of SPOT/VEGETATION Normalized Difference Vegetation Index (NDVI) time series to characterize vegetation recovery after fire disturbance., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2014)Land Use Change Evaluation in an Open-Source GIS Environment: A Case Study of the Basilicata Region (Southern Italy)., , , , and . ICCSA (2), volume 13376 of Lecture Notes in Computer Science, page 364-372. Springer, (2022)Assessment and Monitoring of Soil Erosion Risk and Land Degradation in Arable Land Combining Remote Sensing Methodologies and RUSLE Factors., , , , , , and . ICCSA (6), volume 12954 of Lecture Notes in Computer Science, page 704-716. Springer, (2021)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)., , , and . ICCSA (3), volume 7335 of Lecture Notes in Computer Science, page 481-496. Springer, (2012)