Show simple item record

dc.contributor.authorStoy, Paul C.
dc.contributor.authorQuaife, Tristan
dc.identifier.citationStoy P, Quaife T (2015) Probabilistic downscaling of remote sensing data with applications for multi-scale biogeochemical flux modeling [dataset]. Montana State University ScholarWorks.
dc.description.abstractMATLAB code to perform two-dimensional Tikhonov Regularization (2DTR). Subheaders refer to MATLAB function names. A simulated landscape with a Lagrange multiplier gamma = 10^.85, a mean value of 0.54, and a variance of 0.009 can be generated using: [Rgamma] = doDisaggExperiment(rand(64), 10^.85, 0.009, 0.54 ). The Stoy Lab adheres to an open data policy. Data collected by the Stoy Lab are free to anyone to use with two caveats: 1. Coauthorship may be requested if intellectual input is provided. Intellectual input is defined in this case as an analysis that is critical to outcomes that could not otherwise be performed. 2. Graduate students operate the towers and analyze the data. They must be given the opportunity to be coauthors on your work. Please email paul dot stoy at gmail dot com with any questions.en_US
dc.publisherMontana State University ScholarWorks
dc.titleProbabilistic downscaling of remote sensing data with applications for multi-scale biogeochemical flux modeling [dataset]en_US
mus.identifier.categoryLife Sciences & Earth Sciencesen_US
mus.relation.collegeCollege of Agricultureen_US
mus.relation.departmentLand Resources & Environmental Sciences.en_US
mus.relation.universityMontana State Universityen_US

Files in this item


This item appears in the following Collection(s)

Show simple item record

MSU uses DSpace software, copyright © 2002-2017  Duraspace. For library collections that are not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material.