Journal of Geographic Information System

Journal of Geographic Information System

ISSN Print: 2151-1950
ISSN Online: 2151-1969
www.scirp.org/journal/jgis
E-mail: jgis@scirp.org
"Modelling of Environment Vulnerability to Forests Fires and Assessment by GIS Application on the Forests of Djelfa (Algeria)"
written by Mohamed Said Guettouche, Ammar Derias,
published by Journal of Geographic Information System, Vol.5 No.1, 2013
has been cited by the following article(s):
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[1] Increasing incidences of forest fire in Sikkim, India
Geo-information for Disaster Monitoring and …, 2024
[2] Intraspecific Variability of Quercus pubescens Willd. Leaves from the Outstanding Natural Landscape “Kosmaj” in Serbia
Biology Bulletin, 2024
[3] Linkage between the Forest Fires and the Meteorological Parameters during the current climatic regime using Spatial Clustering, Regression, and Combination Matrix …
Geo-information for Disaster Monitoring …, 2024
[4] Combining Geographical Information System (GIS) and machine learning to monitor and predict vegetation vulnerability: An Empirical Study on Nijhum Dwip …
Ecological Engineering, 2022
[5] Forest Fire Risk Assessment and Proposal for Fire Stations in different Geographical Regions of Central Nepal
Journal of Forest and …, 2022
[6] Forest Fire Risk Prediction: A Spatial Deep Neural Network-Based Framework
2021
[7] Favourable and Restrictive Factors for Quercus pubescens in the Transylvanian Basin, Evaluated by GIS Techniques
2019
[8] Modelling of forest fire risk spatial distribution in the region of Aures, Algeria
2019
[9] The Study of Ecological Environment Fragility Based on Remote Sensing and GIS
Journal of the Indian Society of Remote Sensing, 2018
[10] ASSESSING FOREST FIRE PRONE AREA IN KURANGANI, TAMILNADU USING REMOTE SENSING & GIS
International Journal of Applied Engineering Research, 2018
[11] Spatial Assessment of Ecological Vulnerability in Fuzhou District in China Using Remote Sensing and GIS
2017
[12] Forest Fire Risk Assessment Using Hotspot Analysis in GIS
2017
[13] Taşkın riskinin uzaktan algılama ve CBS teknolojileri ile değerlendirilmesi: Kocaeli Maden Deresi örneği
2017
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