Using Multivariate Statistical Analysis to fit spectroscopy data from remote and in situ analysis of planetary surfaces: Proof-of-Concept Assessment. Technical Note 3: Chemometric Modelling. Technical Note 4: Spectral Matching

Grady, Monica M.; Bantock, Jamie; Abernethy, Feargus and Hills, Lily (2022). Using Multivariate Statistical Analysis to fit spectroscopy data from remote and in situ analysis of planetary surfaces: Proof-of-Concept Assessment. Technical Note 3: Chemometric Modelling. Technical Note 4: Spectral Matching. UK Space Agency.

Viewing alternatives

Look up in Google Scholar

Download history

Download Published Version (PDF / 1MB)

Item Actions

Export

You can export this page using these formats

About

Item ORO ID
83954
Item Type
Other - Research Report
Project Funding Details
Funded Project Name
Project ID
Funding Body
Not Set
Not Set
UK Space Agency (UKSA)
Academic Unit or School
Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Depositing User
ORO Import

CORE (COnnecting REpositories)

Open Research Online - ORO

Using Multivariate Statistical Analysis to fit spectroscopy data from remote and in situ analysis of planetary surfaces: Proof-of-Concept Assessment. Technical Note 3: Chemometric Modelling. Technical Note 4: Spectral Matching

Viewing alternatives

Download history

Item Actions

Export

About

The Open University

Explore

Undergraduate

Postgraduate

Policy

Follow us on Social media