森林防灭火装备优化配置策略探讨 ——以四川达州市达川区为例.
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- Journal of Wildland Fire Science, 2025, v. 43, n. 2, p. 91, doi. 10.3969/j.issn.1002-2511.2025.02.021
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Works about FOREST fire management
Results: 494
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森林火灾高风险区综合治理 ——以湖北省恩施州为例.
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- Journal of Wildland Fire Science, 2025, v. 43, n. 2, p. 74, doi. 10.3969/j.issn.1002-2511.2025.02.017
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Forest Fire Assessment and Estimation Using Landsat 8 and Sentinel 2 Satellite Images in Google Earth Engine.
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- Journal of Hydrosciences & Environment, 2023, v. 7, n. 13, p. 25, doi. 10.22111/jhe.2023.46825.1102
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Identification and Assessment of Fire Risk Factors Using the Delphi Technique and Multiple-Criteria Decision Analysis A Case Study: Forest Parks in the Southern Slopes of Alborz, Iran.
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- Journal of Human Environment, & Health Promotion (JHEHP), 2023, v. 9, n. 1, p. 33, doi. 10.52547/jhehp.9.1.33
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Unveiling the Role of Climate and Environmental Dynamics in Shaping Forest Fire Patterns in Northern Zagros, Iran.
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- Land (2012), 2024, v. 13, n. 9, p. 1453, doi. 10.3390/land13091453
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An Unsupervised Burned Area Mapping Approach Using Sentinel-2 Images.
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- Land (2012), 2023, v. 12, n. 2, p. 379, doi. 10.3390/land12020379
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Opportunities to Increase Wildfire Risk Mitigation Through Cattle Grazing in Western Canada.
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- Western Economics Forum, 2023, v. 21, n. 2, p. 65
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Spatial Dynamics and Risk Mapping of Forest Fires in Madhesh Province, Nepal: A Multi-Criteria Decision Approach.
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- Environment & Natural Resources Journal, 2025, v. 23, n. 1, p. 80, doi. 10.32526/ennrj/23/20240124
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EFICACIA Y EFECTOS DE HERRAMIENTAS DE PREVENCION DE INCENDIOS EN ECOSISTEMAS FORESTALES DE LA SIERRA DEL SEGURA.
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- Sabuco Revista de Estudios Albacetenses, 2021, n. 15, p. 53, doi. 10.37927/sabuco.15_3
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Dinámica temporal de combustibles forestales y efecto del incendio en Cerro Nambiyugua, Chiapas, México.
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- Ecosistemas y Recursos Agropecuarios, 2022, v. 9, n. 2, p. 1, doi. 10.19136/era.a9n2.3253
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Structural analysis of mixed stands coming from natural regeneration and plantations after fire.
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- Web Ecology, 2010, v. 10, n. 1, p. 32, doi. 10.5194/we-10-32-2010
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- Article
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Post-fire management and recovery of a pine forest in Greece.
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- Web Ecology, 2010, v. 10, n. 1, p. 27, doi. 10.5194/we-10-27-2010
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- Article
13
Modelul catastrofei-vârf și utilizarea lui la caracterizarea dinamicii pădurilor.
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- Bucovina Forestieră, 2023, v. 23, n. 2, p. 137, doi. 10.4316/bf.2023.014
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ASSESSMENT OF THE VISIBILITY CAPABILITIES OF FOREST FIRE LOOKOUT TOWERS: THE CASE OF GEMLIK, BURSA, TURKEY.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2021, n. 4/W5, p. 27, doi. 10.5194/isprs-archives-XLVI-4-W5-2021-27-2021
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USING AIRBORNE LIDAR DATA FOR ASSESSMENT OF FOREST FIRE FUEL LOAD POTENTIAL.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2017, v. 4, n. 4/W4, p. 255, doi. 10.5194/isprs-annals-IV-4-W4-255-2017
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James Spencer Whipple: New York State's 'Indian Expert' and Progressive Era Conservationist.
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- New York History, 2024, n. 1, p. 31, doi. 10.1353/nyh.2024.a934328
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Stubble burning and wildfires in Turkey considering the Sustainable Development Goals of the United Nations.
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- Eurasian Journal of Soil Science, 2022, v. 11, n. 1, p. 66, doi. 10.18393/ejss.993611
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18
International Service-Learning for forest fire management and employability in higher education: a qualitative research.
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- Form@re, 2023, v. 23, n. 2, p. 146, doi. 10.36253/form-14670
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19
Applicability analysis of flame height estimation based on Byram's fireline intensity model under flat and windless conditions.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-55132-3
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Quantitative Study on the Grade of Forest Combustibles Based on "3S" Technology.
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- Meteorological & Environmental Research, 2020, v. 11, n. 6, p. 68, doi. 10.19547/j.issn2152-3940.2020.06.014
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GENETIC ALGORITHM BASED SIMULATION-OPTIMIZATION FOR FIGHTING WILDFIRES.
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- International Journal of Computational Methods, 2013, v. 10, n. 6, p. 1, doi. 10.1142/S0219876213500357
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22
Formalisation and Use of Experience in Forest Fires Management.
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- Journal of Contingencies & Crisis Management, 2001, v. 9, n. 3, p. 131, doi. 10.1111/1468-5973.00162
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23
Characterizing Public Tolerance of Smoke from Wildland Fires in Communities across the United States.
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- Journal of Forestry, 2016, v. 114, n. 6, p. 601, doi. 10.5849/jof.14-142
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- Article
24
Forest Service Use of Nonmarket Valuation in Fire Economics: Past, Present, and Future.
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- Journal of Forestry, 2010, v. 108, n. 8, p. 389, doi. 10.1093/jof/108.8.389
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An integrated optimization model for fuel management and fire suppression preparedness planning.
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- Annals of Operations Research, 2015, v. 232, n. 1, p. 201, doi. 10.1007/s10479-012-1298-8
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26
Large site prep tractors for fire line establishment in southern pine stands in Alabama.
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- International Journal of Forest Engineering, 2020, v. 31, n. 1, p. 78, doi. 10.1080/14942119.2019.1662215
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- Article
27
Research Trends in Wildland Fire Prediction Amidst Climate Change: A Comprehensive Bibliometric Analysis.
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- Forests (19994907), 2024, v. 15, n. 7, p. 1197, doi. 10.3390/f15071197
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28
Framework to Create Inventory Dataset for Disaster Behavior Analysis Using Google Earth Engine: A Case Study in Peninsular Malaysia for Historical Forest Fire Behavior Analysis.
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- Forests (19994907), 2024, v. 15, n. 6, p. 923, doi. 10.3390/f15060923
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Predicting the Occurrence of Forest Fire in the Central-South Region of China.
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- Forests (19994907), 2024, v. 15, n. 5, p. 844, doi. 10.3390/f15050844
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Comparative Analysis of Machine Learning-Based Predictive Models for Fine Dead Fuel Moisture of Subtropical Forest in China.
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- Forests (19994907), 2024, v. 15, n. 5, p. 736, doi. 10.3390/f15050736
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31
Comparison of Different Models to Simulate Forest Fire Spread: A Case Study.
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- Forests (19994907), 2024, v. 15, n. 3, p. 563, doi. 10.3390/f15030563
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32
Forest Canopy Fuel Loads Mapping Using Unmanned Aerial Vehicle High-Resolution Red, Green, Blue and Multispectral Imagery.
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- Forests (19994907), 2024, v. 15, n. 2, p. 225, doi. 10.3390/f15020225
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33
A PSO-CNN-Based Deep Learning Model for Predicting Forest Fire Risk on a National Scale.
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- Forests (19994907), 2024, v. 15, n. 1, p. 86, doi. 10.3390/f15010086
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34
Analysis of Wildfire Danger Level Using Logistic Regression Model in Sichuan Province, China.
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- Forests (19994907), 2023, v. 14, n. 12, p. 2352, doi. 10.3390/f14122352
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35
Forest Functioning under Climate Warming and Future Perspectives on Forest Disturbances.
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- Forests (19994907), 2023, v. 14, n. 12, p. 2302, doi. 10.3390/f14122302
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36
Effects of Prescribed Burning on Surface Dead Fuel and Potential Fire Behavior in Pinus yunnanensis in Central Yunnan Province, China.
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- Forests (19994907), 2023, v. 14, n. 9, p. 1915, doi. 10.3390/f14091915
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- Publication type:
- Article
37
Defogging Learning Based on an Improved DeepLabV3+ Model for Accurate Foggy Forest Fire Segmentation.
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- Forests (19994907), 2023, v. 14, n. 9, p. 1859, doi. 10.3390/f14091859
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38
Prediction of Forest Fire Occurrence in Southwestern China.
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- Forests (19994907), 2023, v. 14, n. 9, p. 1797, doi. 10.3390/f14091797
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- Publication type:
- Article
39
Aboveground Biomass Mapping and Fire Potential Severity Assessment: A Case Study for Eucalypts and Shrubland Areas in the Central Inland Region of Portugal.
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- Forests (19994907), 2023, v. 14, n. 9, p. 1795, doi. 10.3390/f14091795
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- Publication type:
- Article
40
Responses of Physiological, Morphological and Anatomical Traits to Abiotic Stress in Woody Plants.
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- Forests (19994907), 2023, v. 14, n. 9, p. 1784, doi. 10.3390/f14091784
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- Publication type:
- Article
41
Modeling Fire Boundary Formation Based on Machine Learning in Liangshan, China.
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- Forests (19994907), 2023, v. 14, n. 7, p. 1458, doi. 10.3390/f14071458
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- Publication type:
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42
Evaluation of Litter Flammability from Dominated Artificial Forests in Southwestern China.
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- Forests (19994907), 2023, v. 14, n. 6, p. 1229, doi. 10.3390/f14061229
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- Publication type:
- Article
43
Automatic Processing for Identification of Forest Fire Risk Areas along High-Voltage Power Lines Using Coarse-to-Fine LiDAR Data.
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- Forests (19994907), 2023, v. 14, n. 4, p. 662, doi. 10.3390/f14040662
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- Publication type:
- Article
44
Unsupervised Domain Adaptation for Forest Fire Recognition Using Transferable Knowledge from Public Datasets.
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- Forests (19994907), 2023, v. 14, n. 1, p. 52, doi. 10.3390/f14010052
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- Publication type:
- Article
45
The Economic Value of Fuel Treatments: A Review of the Recent Literature for Fuel Treatment Planning.
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- Forests (19994907), 2022, v. 13, n. 12, p. 2042, doi. 10.3390/f13122042
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- Publication type:
- Article
46
MTL-FFDET: A Multi-Task Learning-Based Model for Forest Fire Detection.
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- Forests (19994907), 2022, v. 13, n. 9, p. N.PAG, doi. 10.3390/f13091448
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- Publication type:
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47
Prediction of Wildfire Fuel Load for Pinus densiflora Stands in South Korea Based on the Forest-Growth Model.
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- Forests (19994907), 2022, v. 13, n. 9, p. N.PAG, doi. 10.3390/f13091372
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48
Influence of the Declaration of Protected Natural Areas on the Evolution of Forest Fires in Collective Lands in Galicia (Spain).
- Published in:
- Forests (19994907), 2022, v. 13, n. 8, p. 1161, doi. 10.3390/f13081161
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49
Forest Management Units' Performance in Forest Fire Management Implementation in Central Kalimantan and South Sumatra.
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- Forests (19994907), 2022, v. 13, n. 6, p. 894, doi. 10.3390/f13060894
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- Article
50
Trends in Forest Fire Occurrence in the Ilmensky Nature Reserve, Southern Urals, Russia, between 1948 and 2014.
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- Forests (19994907), 2022, v. 13, n. 4, p. 528, doi. 10.3390/f13040528
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- Publication type:
- Article