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Integrated approach of RUSLE, GIS and ESA Sentinel-2 satellite data for post-fire soil erosion assessment in Basilicata region (Southern Italy)
- Source :
- Geomatics, Natural Hazards & Risk, Vol 10, Iss 1, Pp 1563-1595 (2019), Geomatics, natural hazards & risk, info:cnr-pdr/source/autori:Lanorte, Antonio; Cillis, Giuseppe; Calamita, Giuseppe; Nole, Gabriele; Pilogallo, Angela; Tucci, Biagio; De Santis, Fortunato/titolo:Integrated approach of RUSLE, GIS and ESA Sentinel-2 satellite data for post-fire soil erosion assessment in Basilicata region (Southern Italy)/doi:10.1080%2F19475705.2019.1578271/rivista:Geomatics, natural hazards & risk (Print)/anno:2019/pagina_da:1563/pagina_a:1595/intervallo_pagine:1563–1595/volume:10
- Publication Year :
- 2019
- Publisher :
- Informa UK Limited, 2019.
-
Abstract
- Fire effects consist not only in direct damage to the vegetation but also in the modification of both chemical and physical soil properties. Fire can affect the alteration of soil properties in different ways depending on fire severity and soil type. The most important consequences concern changes in soil responsiveness to the water action and the subsequent increase in sediment transport and erosion. Post fire soil loss can increase in the first year by several orders of magnitude compared to pre-fire erosion. In this study a distributed model based on the Revised Universal Soil Loss Equation (RUSLE) is used to estimate potential post-fire soil loss for four different fire events occurred in Basilicata region in 2017. Geographic Information System techniques and remote sensing data have been adopted to build a prediction model of post-fire soil erosion risk. Results show that this model is not only able to quantify post-fire soil loss but also to identify the complexity of the relationships between fire severity and all the factors that influence soil susceptibility to erosion.
- Subjects :
- 010504 meteorology & atmospheric sciences
lcsh:Risk in industry. Risk management
0211 other engineering and technologies
02 engineering and technology
gis
complex mixtures
01 natural sciences
lcsh:TD1-1066
remote sensing
Satellite data
rusle model
Soil properties
sentinel 2 satellite
lcsh:Environmental technology. Sanitary engineering
lcsh:Environmental sciences
021101 geological & geomatics engineering
0105 earth and related environmental sciences
General Environmental Science
lcsh:GE1-350
Hydrology
fungi
food and beverages
Vegetation
Integrated approach
post-fire soil erosion risk
lcsh:HD61
fire severity
Remote sensing (archaeology)
General Earth and Planetary Sciences
Environmental science
basilicata
Subjects
Details
- ISSN :
- 19475713 and 19475705
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Geomatics, Natural Hazards and Risk
- Accession number :
- edsair.doi.dedup.....5a3251dd6a65c72de897e2f31ceb17b1