Journal of Environmental Protection

Journal of Environmental Protection

ISSN Print: 2152-2197
ISSN Online: 2152-2219
www.scirp.org/journal/jep
E-mail: jep@scirp.org
"Wildfire in Australia during 2019-2020, Its Impact on Health, Biodiversity and Environment with Some Proposals for Risk Management: A Review"
written by Md. Kamrul Haque, Md. Abul Kalam Azad, Md. Yeamin Hossain, Tareq Ahmed, Minhaz Uddin, Md. Mukhtar Hossain,
published by Journal of Environmental Protection, Vol.12 No.6, 2021
has been cited by the following article(s):
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[2] Spatial Prediction of Wildfire Susceptibility Using Hybrid Machine Learning Models Based on Support Vector Regression in Sydney, Australia
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[3] Geospatial Wildfire Risk Assessment from Social, Infrastructural and Environmental Perspectives: A Case Study in Queensland Australia
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[4] The Hell of Wildfires: The Impact on Wildlife and Its Conservation and the Role of the Veterinarian
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[5] Evaluating Risk from Disasters to Improve Resilience: Lessons from Nigeria and South Africa
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[6] ANALYSES OF TRENDS IN THE FIRE LOSSES AND THE FIRE-BRIGADE CALL-OUTS IN SOUTH AFRICA BETWEEN 2004 AND 2017.
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[7] To Predict the Fire Outbreak in Australia using Historical Database
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[9] Wildfires In Australia: A Bibliometric Analysis and A Glimpse On 'Black Summer'(2019/20) Disaster
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[10] What makes wildfires destructive in California?
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[11] Spatial-Statistical Analysis of Landscape-Level Wildfire Rate of Spread
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[12] Human risk assessment of ash soil after 2020 wildfires in Pantanal biome (Brazil)
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[13] A Framework for Burnt Area Mapping and Evacuation Problem Using Aerial Imagery Analysis
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[14] Spatio-Temporal Assessment of Thunderstorms' Effects on Wildfire in Australia in 2017–2020 Using Data from the ISS LIS and MODIS Space-Based Observations
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[15] İran'da iklim değişikliğinin, klimatolojik, meteorolojik ve hidrolojik afetlere etkisi
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[16] Global progress in climate change and biodiversity conservation research
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[17] Air pollution and climate change impact on forest ecosystems in Asian region–a review
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[18] DSMNN-Net: A deep siamese morphological neural network model for burned area mapping using multispectral sentinel-2 and hyperspectral PRISMA …
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[19] MODIS-FIRMS and ground-truthing-based wildfire likelihood mapping of Sikkim Himalaya using machine learning algorithms
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[20] Optimized Deployment of Unmanned Aerial Vehicles for Wildfire Detection and Monitoring
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[21] Comprehensive Analysis of Bushfire and its Mitigation Methods: A Conceptual Framework
[22] 4. Wald-und Buschfeuer in Australien–Umweltgeographische Analyse des Feuergeschehens
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