2020
DOI: 10.1007/s11069-020-04191-6
|View full text |Cite
|
Sign up to set email alerts
|

Contribution of remote sensing and GIS to mapping the fire risk of Mediterranean forest case of the forest massif of Tlemcen (North-West Algeria)

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
10
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 28 publications
(10 citation statements)
references
References 18 publications
0
10
0
Order By: Relevance
“…The mathematical model implementation was performed in the high-level programming language Delphi in the RAD Studio software [74]. In the future, it will be possible to integrate the developed model with geo-information systems [75][76][77] to visualize the predicted values of the volume fraction of soot particles formed during active forest fires. ArcGIS [78] and QGIS [79] can be used as host systems.…”
Section: Resultsmentioning
confidence: 99%
“…The mathematical model implementation was performed in the high-level programming language Delphi in the RAD Studio software [74]. In the future, it will be possible to integrate the developed model with geo-information systems [75][76][77] to visualize the predicted values of the volume fraction of soot particles formed during active forest fires. ArcGIS [78] and QGIS [79] can be used as host systems.…”
Section: Resultsmentioning
confidence: 99%
“…In addition, the forests in Tlemcen are also very exposed to fires. Bentekhici et al (2020) revealed in their study that this Wilaya had several significant areas burned in the span of 35 years (from 1980 to 2015), that is to say, 60,000 hectares with an average of 1,700 hectares per year.…”
Section: Field Of Study: Subject Of the Major Contribution Of The Pre...mentioning
confidence: 97%
“…In order to minimise soil background reflectance, the soil-adjusted vegetation index (SAVI) (13 cases, 2.4%), modified SAVI (MSAVI) (12 cases, 2.2%) and the char soil index (CSI) (6 cases, 1.1%) were also applied. In early 2000, the use of AVHRR, MODIS, IRS, SPOT/HRVIR, and Landsat to detect hotspots based on dNDVI images has been widely applied to estimate BA in many studies [69][70][71][72][73][74][75][76][77][78][79][80][81][82][83]. Confirmed hotspots are then used to derive regional-level NDVI difference thresholds for BA mapping.…”
Section: Referred Fao Ecozones and Tree Speciesmentioning
confidence: 99%