has been cited by the following article(s):
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[1]
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Increasing incidences of forest fire in Sikkim, India
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Geo-information for Disaster Monitoring and …,
2024 |
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[2]
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Intraspecific Variability of Quercus pubescens Willd. Leaves from the Outstanding Natural Landscape “Kosmaj” in Serbia
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Biology Bulletin,
2024 |
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[3]
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Linkage between the Forest Fires and the Meteorological Parameters during the current climatic regime using Spatial Clustering, Regression, and Combination Matrix …
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Geo-information for Disaster Monitoring …,
2024 |
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[4]
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Combining Geographical Information System (GIS) and machine learning to monitor and predict vegetation vulnerability: An Empirical Study on Nijhum Dwip …
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Ecological Engineering,
2022 |
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[5]
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Forest Fire Risk Assessment and Proposal for Fire Stations in different Geographical Regions of Central Nepal
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Journal of Forest and …,
2022 |
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[6]
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Forest Fire Risk Prediction: A Spatial Deep Neural Network-Based Framework
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2021 |
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[7]
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Favourable and Restrictive Factors for Quercus pubescens in the Transylvanian Basin, Evaluated by GIS Techniques
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2019 |
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[8]
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Modelling of forest fire risk spatial distribution in the region of Aures, Algeria
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2019 |
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[9]
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The Study of Ecological Environment Fragility Based on Remote Sensing and GIS
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Journal of the Indian Society of Remote Sensing,
2018 |
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[10]
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ASSESSING FOREST FIRE PRONE AREA IN KURANGANI, TAMILNADU USING REMOTE SENSING & GIS
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International Journal of Applied Engineering Research,
2018 |
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[11]
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Spatial Assessment of Ecological Vulnerability in Fuzhou District in China Using Remote Sensing and GIS
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2017 |
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[12]
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Forest Fire Risk Assessment Using Hotspot Analysis in GIS
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2017 |
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[13]
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Taşkın riskinin uzaktan algılama ve CBS teknolojileri ile değerlendirilmesi: Kocaeli Maden Deresi örneği
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2017 |
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[1]
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Intraspecific Variability of Quercus pubescens Willd. Leaves from the Outstanding Natural Landscape “Kosmaj” in Serbia
Biology Bulletin,
2024
DOI:10.1134/S1062359023603877
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[2]
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Intraspecific Variability of Quercus pubescens Willd. Leaves from the Outstanding Natural Landscape “Kosmaj” in Serbia
Biology Bulletin,
2024
DOI:10.1134/S1062359023603877
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[3]
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Geo-information for Disaster Monitoring and Management
2024
DOI:10.1007/978-3-031-51053-3_18
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[4]
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Forest Fire Risk Prediction: A Spatial Deep Neural Network-Based Framework
Remote Sensing,
2021
DOI:10.3390/rs13132513
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[5]
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The Study of Ecological Environment Fragility Based on Remote Sensing and GIS
Journal of the Indian Society of Remote Sensing,
2018
DOI:10.1007/s12524-018-0759-1
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