%0 Journal Article %1 journals/aeog/MaedaFSAH09 %A Maeda, Eduardo Eiji %A Formaggio, Antônio Roberto %A Shimabukuro, Yosio Edemir %A Arcoverde, Gustavo Felipe Balué %A Hansen, Matthew C. %D 2009 %J Int. J. Appl. Earth Obs. Geoinformation %K dblp %N 4 %P 265-272 %T Predicting forest fire in the Brazilian Amazon using MODIS imagery and artificial neural networks. %U http://dblp.uni-trier.de/db/journals/aeog/aeog11.html#MaedaFSAH09 %V 11

@article{journals/aeog/MaedaFSAH09, added-at = {2020-02-20T00:00:00.000+0100}, author = {Maeda, Eduardo Eiji and Formaggio, Antônio Roberto and Shimabukuro, Yosio Edemir and Arcoverde, Gustavo Felipe Balué and Hansen, Matthew C.}, biburl = {https://www.bibsonomy.org/bibtex/2f62225ab78c9d4388276c5a5c2e253e5/dblp}, ee = {https://www.wikidata.org/entity/Q58471744}, interhash = {7c99a6ff216c575ce4b326bd6d606f6c}, intrahash = {f62225ab78c9d4388276c5a5c2e253e5}, journal = {Int. J. Appl. Earth Obs. Geoinformation}, keywords = {dblp}, number = 4, pages = {265-272}, timestamp = {2020-02-21T12:45:15.000+0100}, title = {Predicting forest fire in the Brazilian Amazon using MODIS imagery and artificial neural networks.}, url = {http://dblp.uni-trier.de/db/journals/aeog/aeog11.html#MaedaFSAH09}, volume = 11, year = 2009 }