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Publication details

Title
Burned area estimations derived from Landsat ETM+ and OLI data: Comparing Genetic Programming with Maximum Likelihood and Classification and Regression Trees

Authors
Ana I.R. Cabral
Sara Silva
BIOISI - Instituto de Biossistemas e Ciências Integrativas
Pedro C. Silva
Leonardo Vanneschi
Maria J. Vasconcelos

Document type
Journal articles

Date of Publication
2018-08

Where published
ISPRS Journal of Photogrammetry and Remote Sensing

ISSN
0924-2716

Publisher
Elsevier BV

Volume
142

Number of pages
11
Starting page
94
Last page
105

Identifiers
DOI - http://dx.doi.org/10.1016/j.isprsjprs.2018.05.007


Export

APA
Ana I.R. Cabral, Sara Silva, Pedro C. Silva, Leonardo Vanneschi, Maria J. Vasconcelos, (2018). Burned area estimations derived from Landsat ETM+ and OLI data: Comparing Genetic Programming with Maximum Likelihood and Classification and Regression Trees. ISPRS Journal of Photogrammetry and Remote Sensing, 142, 94-105. ISSN 0924-2716. eISSN . http://dx.doi.org/10.1016/j.isprsjprs.2018.05.007

IEEE
Ana I.R. Cabral, Sara Silva, Pedro C. Silva, Leonardo Vanneschi, Maria J. Vasconcelos, "Burned area estimations derived from Landsat ETM+ and OLI data: Comparing Genetic Programming with Maximum Likelihood and Classification and Regression Trees" in ISPRS Journal of Photogrammetry and Remote Sensing, vol. 142, pp. 94-105, 2018. 10.1016/j.isprsjprs.2018.05.007

BIBTEX
@article{43640, author = {Ana I.R. Cabral and Sara Silva and Pedro C. Silva and Leonardo Vanneschi and Maria J. Vasconcelos}, title = {Burned area estimations derived from Landsat ETM+ and OLI data: Comparing Genetic Programming with Maximum Likelihood and Classification and Regression Trees}, journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, year = 2018, pages = {94-105}, volume = 142 }