Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire …

MG Gale, GJ Cary, AIJM Van Dijk, M Yebra - Remote Sensing of …, 2021 - Elsevier
Forested environments are subject to large and high intensity unplanned fire events, owing
to, among other factors, the high quantity and complex structure of fuel in these …

Satellite remote sensing contributions to wildland fire science and management

E Chuvieco, I Aguado, J Salas, M García… - Current Forestry …, 2020 - Springer
Purpose This paper reviews the most recent literature related to the use of remote sensing
(RS) data in wildland fire management. Recent Findings Studies dealing with pre-fire …

[HTML][HTML] Forest fuel type classification: Review of remote sensing techniques, constraints and future trends

A Abdollahi, M Yebra - Journal of Environmental Management, 2023 - Elsevier
Improved forest management plans require a better understanding of wildfire risk and
behavior to enhance the conservation of biodiversity and plan effective risk mitigation …

A multimodal data fusion and deep learning framework for large-scale wildfire surface fuel mapping

M Alipour, I La Puma, J Picotte, K Shamsaei, E Rowell… - Fire, 2023 - mdpi.com
Accurate estimation of fuels is essential for wildland fire simulations as well as decision-
making related to land management. Numerous research efforts have leveraged remote …

Comparison of high-density LiDAR and satellite photogrammetry for forest inventory

GD Pearse, JP Dash, HJ Persson, MS Watt - ISPRS journal of …, 2018 - Elsevier
Point cloud data derived from stereo satellite imagery has the potential to provide large-
scale forest inventory assessment but these methods are known to include higher error than …

Generation and mapping of fuel types for fire risk assessment

E Aragoneses, E Chuvieco - Fire, 2021 - mdpi.com
Fuel mapping is key to fire propagation risk assessment and regeneration potential.
Previous studies have mapped fuel types using remote sensing data, mainly at local …

Fuel type classification using airborne laser scanning and Sentinel 2 data in Mediterranean forest affected by wildfires

D Domingo, J de la Riva, MT Lamelas, A García-Martín… - Remote Sensing, 2020 - mdpi.com
Mediterranean forests are recurrently affected by fire. The recurrence of fire in such
environments and the number and severity of previous fire events are directly related to fire …

Corrigendum to: Integrating remotely sensed fuel variables into wildfire danger assessment for China

X Quan, Q Xie, B He, K Luo, X Liu - International journal of …, 2021 - CSIRO Publishing
As regulated by the 'fire environment triangle', three major forces are essential for
understanding wildfire danger:(1) topography,(2) weather and (3) fuel. Within this concept …

Object-based approach using very high spatial resolution 16-band WorldView-3 and LiDAR data for tree species classification in a broadleaf Forest in Quebec …

M Varin, B Chalghaf, G Joanisse - Remote Sensing, 2020 - mdpi.com
Species identification in Quebec, Canada, is usually performed with photo-interpretation at
the stand level, and often results in a lack of precision which affects forest management …

Application of Landsat ETM+ and OLI data for foliage fuel load monitoring using radiative transfer model and machine learning method

X Quan, Y Li, B He, GJ Cary… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Foliage fuel load (FFL) is a critical factor affecting crown fire intensity and rate of spread.
Satellite observations provide the potential for monitoring FFL dynamics across large areas …