Appraisal of the Sentinel-1 & 2 use in a large-scale wildfire assessment: A case study from Portugal's fires of 2017

Appraisal of the Sentinel-1 & 2 use in a large-scale wildfire assessment: A case study from Portugal's fires of 2017

The recent launch of Sentinel missions offers a unique opportunity to assess the impacts of wildfires at higher spatial and spectral resolution provided by those Earth Observing (EO) systems. Herein, an assessment of the Sentinel-1 & 2 to map burnt areas has been conducted. Initially the use of...

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Bibliographic Details
Main Authors: Brown, A.R (Author), Ferentinos, K.P (Author), Petropoulos, G.P (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2018
Subjects:
agricultural land
Agriculture
artificial neural network
assessment method
Burn severity
Burnt area mapping
data set
Earth observation
Forestry
forestry modeling
GIS
mapping method
Maximum likelihood
Portugal
Revised Universal Soil Loss Equation
RUSLE
Sentinel
Sentinel-1
Sentinel-2
Soil erodibility
Support vector machines
wildfire
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