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Forest Fire Severity Assessment Using ALS Data in a Mediterranean Environment.

, , , и . Remote Sensing, 6 (5): 4240-4265 (2014)

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Camilo La Riva

Dana de La Fontaine

Christian de La Motte

Véronique de La Giroday

Jork de La Fontaine

 

Другие публикации лиц с тем же именем

Polarimetric Properties of Burned Forest Areas at C- and L-Band., , , и . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (1): 267-276 (2014)Backscatter Properties of Multitemporal TerraSAR-X Data and the Effects of Influencing Factors on Burn Severity Evaluation, in a Mediterranean Pine Forest., , , и . IGARSS (3), стр. 593-596. IEEE, (2009)Forest Fire Severity Assessment Using ALS Data in a Mediterranean Environment., , , и . Remote Sensing, 6 (5): 4240-4265 (2014)Sensitivity of X-, C-, and L-Band SAR Backscatter to Burn Severity in Mediterranean Pine Forests., , , , и . IEEE Trans. Geosci. Remote. Sens., 48 (10): 3663-3675 (2010)A Comparison of Open-Source LiDAR Filtering Algorithms in a Mediterranean Forest Environment., , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (8): 4072-4085 (2015)Assessing GEDI-NASA system for forest fuels classification using machine learning techniques., , , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (февраля 2023)Estimating Forest Residual Biomass in Mediterranean Pinus Halepensis Forest Using Low Point Density ALS Data., , , , и . IGARSS, стр. 7552-7555. IEEE, (2018)