Evaluation reinvented
Identify the true potential of your hyperspectral reflectance data
Analysis of hyperspectral reflectance data
We are a small, independent consultancy for statistical analysis, originally trained
in the subjects of agricultural biometrics and modelling. Our skills are interdisciplinary
and applicable for different topics of concerns. Nemaplot Kai Schmidt has patented
the unique technique in analysing hyperspectral data.
- Modeling hyperspectral signatures / reflectance patterns with Weibull functions, statistical analysis and multiple mean comparison
- NIRS Analysis, content definitions and empirical associations of solutions in the range of 1200 to 2400 nm.
- Individual solutions for the analysis of hyperspectral information, i.e. quantitative calibration and estimations.
- Traditional statistics
- ANOVA, multiple mean comparison
- Multivariate procedures
- Regression and simultaneous parameter estimation
- Development of more complex compartment and simulation models.
Hyperspectral reflectance patterns are analysed by standard procedures with respect to the underlying experimental design and anonymous with respect to the tested subject. Other data or simulation models normally require intensive feedback with and from the client. Transparency is most important for both side, to get full information from the data. Confidence is the top priority about data content and size. Provided data will be deleted from our storage facilities after project end.
Please do not hesitate get in contact with the Nemaplot Project (more information by the contact button)
