Results 11 to 20 of about 1,901,008 (301)
Forest fire pattern and vulnerability mapping using deep learning in Nepal
Fire Ecology, 2023 Background In the last two decades, Nepal has experienced an increase in both forest fire frequency and area, but very little is known about its spatiotemporal dimension.
Bhogendra Mishra +3 more
semanticscholar +1 more source
Forest Fire Prediction Based on Long- and Short-Term Time-Series Network
Forests, 2023 Modeling and prediction of forest fire occurrence play a key role in guiding forest fire prevention. From the perspective of the whole world, forest fires are a natural disaster with a great degree of hazard, and many countries have taken mountain fire ...
Xufeng Lin +4 more
semanticscholar +1 more source
A Small Target Forest Fire Detection Model Based on YOLOv5 Improvement
Forests, 2022 Forest fires are highly unpredictable and extremely destructive. Traditional methods of manual inspection, sensor-based detection, satellite remote sensing and computer vision detection all have their obvious limitations.
Zhenyang Xue, Haifeng Lin, Fang Wang
semanticscholar +1 more source
Buildings, 2020 A counter-balanced mass measurement system was constructed to allow measurement of water loss from a full-scale wood-framed wall assembly. Water was injected onto a localized area of paper towel adjacent to the oriented strand board (OSB) wall sheathing.
Charles R. Boardman +2 more
doaj +1 more source
Fire-Net: A Deep Learning Framework for Active Forest Fire Detection
J. Sensors, 2022 Forest conservation is crucial for the maintenance of a healthy and thriving ecosystem. The field of remote sensing (RS) has been integral with the wide adoption of computer vision and sensor technologies for forest land observation. One critical area of
S. Seydi +4 more
semanticscholar +1 more source
Ecosphere, 2021 Climate change is projected to significantly affect the vulnerability of forests across the western United States to wildfires, insects, disease, and droughts.
Brandon E. McNellis +3 more
doaj +1 more source
Scientific Data, 2021 Measurement(s) forested area Technology Type(s) machine learning Factor Type(s) biophysical variables • geographic location • forest type • forest height • forest percent cover Sample Characteristic - Environment vegetation layer Sample Characteristic ...
Karin L. Riley +3 more
doaj +1 more source
Projected increases in western US forest fire despite growing fuel constraints
Communications Earth & Environment, 2021 Escalating burned area in western US forests punctuated by the 2020 fire season has heightened the need to explore near-term macroscale forest-fire area trajectories.
J. Abatzoglou +5 more
semanticscholar +1 more source
Improving the Accuracy of a Hygrothermal Model for Wood-Frame Walls: A Cold-Climate Study
Buildings, 2020 A one-dimensional transient hygrothermal model was used to simulate eight different wood-frame wall assemblies. Simulations were compared with measured results from a two-year field study exploring the effects of exterior insulation on wall moisture ...
Charles R. Boardman, Samuel V. Glass
doaj +1 more source
Nature Communications, 2022 Levels of fire activity and severity that are unprecedented in the instrumental record have recently been observed in forested regions around the world. Using a large sample of daily fire events and hourly climate data, here we show that fire activity in
H. Clarke +6 more
semanticscholar +1 more source