24.4.13.8.3 Fuel Load for Forest Fire Prediction

Chapter Contents (Back)
Forest Fires. Fire Risk. Fuel Load.
See also Trees, Forest, Stem Volume, Aboveground Biomass Measurements.

Saatchi, S., Halligan, K.Q., Despain, D.G., Crabtree, R.L.,
Estimation of Forest Fuel Load From Radar Remote Sensing,
GeoRS(45), No. 6, June 2007, pp. 1726-1740.
IEEE DOI 0706
BibRef

Mallinis, G.[Giorgos], Mitsopoulos, I.[Ioannis], Stournara, P.[Panagiota], Patias, P.[Petros], Dimitrakopoulos, A.[Alexandros],
Canopy Fuel Load Mapping of Mediterranean Pine Sites Based on Individual Tree-Crown Delineation,
RS(5), No. 12, 2013, pp. 6461-6480.
DOI Link 1402
BibRef

Arellano-Pérez, S.[Stéfano], Castedo-Dorado, F.[Fernando], López-Sánchez, C.A.[Carlos Antonio], González-Ferreiro, E.[Eduardo], Yang, Z.Q.[Zhi-Qiang], Díaz-Varela, R.A.[Ramón Alberto], Álvarez-González, J.G.[Juan Gabriel], Vega, J.A.[José Antonio], Ruiz-González, A.D.[Ana Daría],
Potential of Sentinel-2A Data to Model Surface and Canopy Fuel Characteristics in Relation to Crown Fire Hazard,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Stefanidou, A.[Alexandra], Gitas, I.Z.[Ioannis Z.], Korhonen, L.[Lauri], Georgopoulos, N.[Nikos], Stavrakoudis, D.[Dimitris],
Multispectral LiDAR-Based Estimation of Surface Fuel Load in a Dense Coniferous Forest,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Li, Z.P.[Zheng-Peng], Shi, H.[Hua], Vogelmann, J.E.[James E.], Hawbaker, T.J.[Todd J.], Peterson, B.[Birgit],
Assessment of Fire Fuel Load Dynamics in Shrubland Ecosystems in the Western United States Using MODIS Products,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Alonso-Rego, C.[Cecilia], Arellano-Pérez, S.[Stéfano], Cabo, C.[Carlos], Ordoñez, C.[Celestino], Álvarez-González, J.G.[Juan Gabriel], Díaz-Varela, R.A.[Ramón Alberto], Ruiz-González, A.D.[Ana Daría],
Estimating Fuel Loads and Structural Characteristics of Shrub Communities by Using Terrestrial Laser Scanning,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Li, Y.X.[Yan-Xi], Quan, X.W.[Xing-Wen], Liao, Z.M.[Zhan-Mang], He, B.B.[Bin-Bin],
Forest Fuel Loads Estimation from Landsat ETM+ and ALOS PALSAR Data,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Lin, C.S.[Chin-Su], Ma, S.E.[Siao-En], Huang, L.P.[Li-Ping], Chen, C.I.[Chung-I], Lin, P.T.[Pei-Ting], Yang, Z.K.[Zhih-Kai], Lin, K.T.[Kuan-Ting],
Generating a Baseline Map of Surface Fuel Loading Using Stratified Random Sampling Inventory Data through Cokriging and Multiple Linear Regression Methods,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

d'Este, M.[Marina], Elia, M.[Mario], Giannico, V.[Vincenzo], Spano, G.[Giuseppina], Lafortezza, R.[Raffaele], Sanesi, G.[Giovanni],
Machine Learning Techniques for Fine Dead Fuel Load Estimation Using Multi-Source Remote Sensing Data,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Hillman, S.[Samuel], Wallace, L.[Luke], Reinke, K.[Karin], Jones, S.[Simon],
A comparison between TLS and UAS LiDAR to represent eucalypt crown fuel characteristics,
PandRS(181), 2021, pp. 295-307.
Elsevier DOI 2110
UAS, Drone, LiDAR, 3D remote sensing, TLS, Fuel BibRef

Batchelor, J.L.[Jonathan L.], Rowell, E.[Eric], Prichard, S.[Susan], Nemens, D.[Deborah], Cronan, J.[James], Kennedy, M.C.[Maureen C.], Moskal, L.M.[L. Monika],
Quantifying Forest Litter Fuel Moisture Content with Terrestrial Laser Scanning,
RS(15), No. 6, 2023, pp. 1482.
DOI Link 2304
BibRef

Rocha, K.D.[Kleydson Diego], Silva, C.A.[Carlos Alberto], Cosenza, D.N.[Diogo N.], Mohan, M.[Midhun], Klauberg, C.[Carine], Schlickmann, M.B.[Monique Bohora], Xia, J.Y.[Jin-Yi], Leite, R.V.[Rodrigo V.], de Almeida, D.R.A.[Danilo Roberti Alves], Atkins, J.W.[Jeff W.], Cardil, A.[Adrian], Rowell, E.[Eric], Parsons, R.[Russ], Sánchez-López, N.[Nuria], Prichard, S.J.[Susan J.], Hudak, A.T.[Andrew T.],
Crown-Level Structure and Fuel Load Characterization from Airborne and Terrestrial Laser Scanning in a Longleaf Pine (Pinus palustris Mill.) Forest Ecosystem,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Deng, L.[Lei], Yan, E.[Enping], Jiang, J.W.[Jia-Wei], Mo, D.[Dengkui],
Estimating Fine Fuel Load Using Sentinel-2A Imagery and Machine Learning: A Case Study in the Mountainous Forests of Changsha, China,
RS(15), No. 24, 2023, pp. 5721.
DOI Link 2401
BibRef


Eusuf, M.S.R.S., Barton, J., Gorte, B., Zlatanova, S.,
Volume Estimation of Fuel Load for Hazard Reduction Burning: First Results to A Voxel Approach,
ISPRS20(B3:1199-1206).
DOI Link 2012
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Burned Area Detection, Fire Damage Assessment, Post-Fire Analysis .


Last update:May 6, 2024 at 15:50:14