Wildfires and social media discourse: exploring mental health and emotional wellbeing through Twitter

YE Garc�a, ME Villa-P�rez, K Li, XH Tai…�- Frontiers in public�…, 2024 - frontiersin.org
… focused on Twitter users affected by the California Tubbs Fire in … tweets posted during the
Tubbs Fire disaster to gain deeper … , 1 and the Tubbs Fire dataset is available for download …

Identifying building locations in the wildland–urban interface before and after fires with convolutional neural networks

NK Kasraee, TJ Hawbaker…�- …�journal of wildland fire, 2023 - CSIRO Publishing
… We compared the ability of the CNN building dataset and the CNN model to detect post-fire
buildings. We used the CAL FIRE ground-truth dataset to evaluate the accuracy of both the …

[HTML][HTML] How the experience of California wildfires shape Twitter climate change framings

JWY Ko, S Ni, A Taylor, X Chen, Y Huang, A Kumar…�- Climatic Change, 2024 - Springer
… This study examined Twitter discourse related to climate change during the onset of 20 …
fires had overlapping timelines and were near each other, we created a unified dataset for …

DUET: Data-driven approach based on latent Dirichlet allocation topic modeling

Y Wang, JE Taylor�- Journal of Computing in Civil Engineering, 2019 - ascelibrary.org
… georeferenced tweets from a Twitter streaming API was a … because the diversity level of
Twitter topics varies by geographic … number of unique geotopics for each data set (Table 2). We …

[HTML][HTML] GOES-R time series for early detection of wildfires with deep GRU-network

Y Zhao, Y Ban�- Remote Sensing, 2022 - mdpi.com
… the dataset. This behavior down-weights the well-classified samples, and in this scenarios is
the non-fire … The datasets used in this study are available from on request from the authors. …

Automated burned area identification in real-time during wildfire events using WorldView imagery for the insurance industry

C Geller�- Earth resources and environmental remote sensing�…, 2018 - spiedigitallibrary.org
… decision removes lakes, rivers, and other bodies of water where the NDVI value is low and
allows the process to be utilized in regions of the world where consistent water body datasets

[HTML][HTML] Machine learning estimation of fire arrival time from level-2 active fires satellite data

A Farguell, J Mandel, J Haley, DV Mallia, A Kochanski…�- Remote Sensing, 2021 - mdpi.com
… The proposed SVM method integrates MODIS and VIIRS active fire data to estimate fire
progression using a machine learning method. Both datasets are provided by polar-orbiting …

Temporal patterns and life cycle dynamics of social media user activity during disasters: A data-driven approach for effective crisis communication

R Al Aziz, P Agarwal, J McGuinness…�- Expert Systems with�…, 2024 - Elsevier
… Social media platforms such as Twitter and Facebook have emerged as critical channels for
… by RMSE may not be directly comparable across different datasets. On the other hand, the …

[HTML][HTML] Examining Exposure Fires from the United States National Fire Incident Reporting System between 2002 and 2020

DJ McNamara, WE Mell�- Fire, 2024 - mdpi.com
… records in the filtered dataset above. The above steps provided the final exposure fire
dataset from which we characterized NFIRS-reported exposure fires between 2002 and 2020. …

Edible fire buffers: mitigation of wildfire with multifunctional landscapes

X Fu, A Lidar, M Kantar, B Raghavan�- PNAS nexus, 2023 - academic.oup.com
… This new intervention can complement existing fire mitigation approaches. Recreating a
recent, major fire in simulation, we find that a medium-sized (633 m) banana buffer decreases …