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Proportion of forest area burned at high-severity increases with increasing forest cover and connectivity in western US watersheds
Context In western US forests, the increasing frequency of large high-severity fires presents challenges for society. Quantifying how fuel conditions influence high-severity area is important for managing risks of large high-severity fires and…
Author(s): Emily J. Francis, Pariya Pourmohammadi, Zachary L. Steel, Brandon M. Collins, Matthew D. Hurteau
Year Published:

Assessing the Use of Burn Ratios and Red-Edge Spectral Indices for Detecting Fire Effects in the Greater Yellowstone Ecosystem
Burn severity is commonly assessed using Burn Ratios and field measurements to provide land managers with estimates of the degree of burning in an area. However, less commonly studied is the ability of spectral indices and Burn Ratios to estimate…
Author(s): David M. Szpakowski, Jennifer L. Rooker Jensen, T. Edwin Chow, David R. Butler
Year Published:

Testing simple approaches to map sediment mobilisation hotspots after wildfires
Background: The models currently used to predict post-fire soil erosion risks are limited by high data demands and long computation times. An alternative is to map the potential hydrological and sediment connectivity using indices to express the…
Author(s): Joana Parente, João Pedro Nunes, J. E. M. Baartman, Dante Follmi
Year Published:

A Comparison of Four Spatial Interpolation Methods for Modeling Fine-Scale Surface Fuel Load in a Mixed Conifer Forest with Complex Terrain
Patterns of spatial heterogeneity in forests and other fire-prone ecosystems are increasingly recognized as critical for predicting fire behavior and subsequent fire effects. Given the difficulty in sampling continuous spatial patterns across scales…
Author(s): Chad M. Hoffman, Justin P. Ziegler, Wade T. Tinkham, J. Kevin Hiers, Andrew T. Hudak
Year Published:

Unmanned-aircraft-system-assisted early wildfire detection with air quality sensors
Numerous hectares of land are destroyed by wildfires every year, causing harm to the environment, the economy, and the ecology. More than fifty million acres have burned in several states as a result of recent forest fires in the Western United…
Author(s): Doaa Rjoub, Ahmad Alsharoa, Ala’eddin Masadeh
Year Published:

Automated attribution of forest disturbance types from remote sensing data: a synthesis
Remote sensing is widely used to detect forest disturbances (e.g., wildfires, harvest, or outbreaks of pathogens or insects) over spatiotemporal scales that are infeasible to capture with field surveys. To understand forest ecosystem dynamics and…
Author(s): Amanda T. Stahl, Robert A. Andrus, Jeffrey A. Hicke, Andrew T. Hudak, Benjamin C. Bright, Arjan J. H. Meddens
Year Published:

Towards a whole-system framework for wildfire monitoring using Earth observations
Fire seasons have become increasingly variable and extreme due to changing climatological, ecological, and social conditions. Earth observation data are critical for monitoring fires and their impacts. Herein, we present a whole-system framework for…
Author(s): 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
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Visualization of 3D forest fire spread based on the coupling of multiple weather factors
Combustibles, topography, and weather factors are the three essential factors affecting forest fire behavior, and current forest fire spread models need to consider weather factors fully. This paper proposes a forest fire spread method based on…
Author(s): Qingkuo Meng, Yongjian Huai, Jiawei You, Xiaoying Nie
Year Published:

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