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Canadian Journal of Remote Sensing
Journal canadien de télédétection
Volume 46, 2020 - Issue 3
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Article

Spatially-Explicit Prediction of Wildfire Burn Probability Using Remotely-Sensed and Ancillary Data

Prévision spatialement explicite de la probabilité de feux de forêt à l’aide de séries temporelles d’images satellitaires et de données auxiliaires

Chen Shanga Department of Forest Resources Management, Faculty of Forestry, Integrated Remote Sensing Studio, University of British Columbia, 2424 Main Mall, Vancouver, British Columbia, V6T 1Z4, CanadaCorrespondence[email protected]
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Michael A. Wulderb Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, 506 West Burnside Road, Victoria, British Columbia, V8Z 1M5, CanadaORCID Iconhttps://orcid.org/0000-0002-6942-1896
ORCID Icon,
Nicholas C. Coopsa Department of Forest Resources Management, Faculty of Forestry, Integrated Remote Sensing Studio, University of British Columbia, 2424 Main Mall, Vancouver, British Columbia, V6T 1Z4, CanadaORCID Iconhttps://orcid.org/0000-0002-0151-9037
ORCID Icon,
Joanne C. Whiteb Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, 506 West Burnside Road, Victoria, British Columbia, V8Z 1M5, CanadaORCID Iconhttps://orcid.org/0000-0003-4674-0373
ORCID Icon &
Txomin Hermosillab Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, 506 West Burnside Road, Victoria, British Columbia, V8Z 1M5, CanadaORCID Iconhttps://orcid.org/0000-0002-5445-0360
ORCID Icon
Pages 313-329 | Received 24 Feb 2020, Accepted 23 Jun 2020, Published online: 11 Jul 2020

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Maryamsadat Hosseini & Samsung Lim. (2021) Gene expression programming and ensemble methods for bushfire susceptibility mapping: a case study of Victoria, Australia. Geomatics, Natural Hazards and Risk 12:1, pages 2367-2386.
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Articles from other publishers (10)

Lei Kong, Luojun Wu, Jun Liu, Chaohai Liu, Hailiang Wang, Luxun Li, Hui Xu, Jinqiang Wang, Xiongfei Tang & Wenhong Hu. (2023) Ensemble algorithms for modeling forest live fuel loads and multivariate probability proportional to size sampling in Kunming, Yunnan, China. Journal of Cleaner Production 425, pages 138751.
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J.M. Costa-Saura, D. Spano, C. Sirca & V. Bacciu. (2023) Contrasting patterns and interpretations between a fire spread simulator and a machine learning model when mapping burn probabilities: A case study for Mediterranean areas. Environmental Modelling & Software 163, pages 105685.
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Morgan A. Crowley, Christopher A. Stockdale, Joshua M. Johnston, Michael A. Wulder, Tianjia Liu, Jessica L. McCarty, Jesse T. Rieb, Jeffrey A. Cardille & Joanne C. White. (2022) Towards a whole‐system framework for wildfire monitoring using Earth observations. Global Change Biology 29:6, pages 1423-1436.
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Arip Nur, Yong Kim, Joon Lee & Chang-Wook Lee. (2023) Spatial Prediction of Wildfire Susceptibility Using Hybrid Machine Learning Models Based on Support Vector Regression in Sydney, Australia. Remote Sensing 15:3, pages 760.
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Mohamad Hakam Shams Eddin, Ribana Roscher & Juergen Gall. (2023) Location-Aware Adaptive Normalization: A Deep Learning Approach for Wildfire Danger Forecasting. IEEE Transactions on Geoscience and Remote Sensing 61, pages 1-18.
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Nathan Phelps & Jennifer L. Beverly. (2022) Classification of forest fuels in selected fire-prone ecosystems of Alberta, Canada—implications for crown fire behaviour prediction and fuel management. Annals of Forest Science 79:1.
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Yongqi Pang, Yudong Li, Zhongke Feng, Zemin Feng, Ziyu Zhao, Shilin Chen & Hanyue Zhang. (2022) Forest Fire Occurrence Prediction in China Based on Machine Learning Methods. Remote Sensing 14:21, pages 5546.
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Hyung-Jin Yoon & Petros Voulgaris. (2022) Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data. Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data.
Eldar Kurbanov, Oleg Vorobev, Sergey Lezhnin, Jinming Sha, Jinliang Wang, Xiaomei Li, Janine Cole, Denis Dergunov & Yibo Wang. (2022) Remote Sensing of Forest Burnt Area, Burn Severity, and Post-Fire Recovery: A Review. Remote Sensing 14:19, pages 4714.
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Milad Haghani, Erica Kuligowski, Abbas Rajabifard & Crystal A. Kolden. (2022) The state of wildfire and bushfire science: Temporal trends, research divisions and knowledge gaps. Safety Science 153, pages 105797.
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