Combination of Landsat and Sentinel-2 MSI data for initial assessing of burn severity

Author:

Quintano C.,Fernández-Manso A.,Fernández-Manso O.

Funder

Spanish Ministry of Economy and Competitiveness

Regional Government of Castilla y León within the frame of the FIRECYL project

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference20 articles.

1. Study of post-fire severity in the Valencia region comparing the NBR, RdNBR and RBR indexes derived from Landsat 8 images;Botella;Revista de Teledetección,2017

2. Classifying and mapping wildfire severity: a comparison of methods;Brewer;Photogramm. Eng. Remote Sens.,2005

3. Mapping burn severity in a disease-impacted forest landscape using Landsat and MASTER imagery;Chen;Int. J. Appl. Earth Obs. Geoinf.,2015

4. Comparison of burn severity assessments using differenced normalized burn ratio and ground data;Cocke;Int. J. Wildland Fire,2005

5. Assessing the Accuracy of Remotely Sensed Data: Principles and Practice;Congalton,2009

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