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Parmentier, Benoit, McGill, Brian, Wilson, Adam, Regetz, James, Jetz, Walter, Guralnick, Robert, Tuanmu, Mao-Ning, Robinson, Natalie, Schildhauer, Mark (2014) An Assessment of Methods and Remote-Sensing Derived Covariates for Regional Predictions of 1 km Daily Maximum Air Temperature. Remote Sensing, 6 (9). doi:10.3390/rs6098639

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Reference TypeJournal (article/letter/editorial)
TitleAn Assessment of Methods and Remote-Sensing Derived Covariates for Regional Predictions of 1 km Daily Maximum Air Temperature
JournalRemote Sensing
AuthorsParmentier, BenoitAuthor
McGill, BrianAuthor
Wilson, AdamAuthor
Regetz, JamesAuthor
Jetz, WalterAuthor
Guralnick, RobertAuthor
Tuanmu, Mao-NingAuthor
Robinson, NatalieAuthor
Schildhauer, MarkAuthor
Year2014 (September 16)Volume6
Issue9
PublisherMDPI AG
DOIdoi:10.3390/rs6098639Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17804977Long-form Identifiermindat:1:5:17804977:5
GUID0
Full ReferenceParmentier, Benoit, McGill, Brian, Wilson, Adam, Regetz, James, Jetz, Walter, Guralnick, Robert, Tuanmu, Mao-Ning, Robinson, Natalie, Schildhauer, Mark (2014) An Assessment of Methods and Remote-Sensing Derived Covariates for Regional Predictions of 1 km Daily Maximum Air Temperature. Remote Sensing, 6 (9). doi:10.3390/rs6098639
Plain TextParmentier, Benoit, McGill, Brian, Wilson, Adam, Regetz, James, Jetz, Walter, Guralnick, Robert, Tuanmu, Mao-Ning, Robinson, Natalie, Schildhauer, Mark (2014) An Assessment of Methods and Remote-Sensing Derived Covariates for Regional Predictions of 1 km Daily Maximum Air Temperature. Remote Sensing, 6 (9). doi:10.3390/rs6098639
In(2014, September) Remote Sensing Vol. 6 (9). MDPI AG


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