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PNS0146
Introduction to hyperspectral imaging with focus on near infrared spectroscopy
The course offers an introduction to hyperspectral imaging using desk top/lab, airborn (drone) and satellite techniques for the classification and quantification of spatial distributions and chemometrics in animal, agricultural, food, ecology and related sciences. The students will learn to interpret hyperspectral images using chemometrics and multivariate image and data analysis by user‐friendly and intuitive software solutions.
The students will be introduced to the basics of chemometrics, near infrared spectroscopy and digital imaging by state of the arte lecturing, practical laboratory work using, high‐speed hyperspectral,
video meter and satellite imagines e.g. the Sentinel‐2 Satellite for monitoring land and vegetation.
Applications will be presented on animal tissue, plants, food products (e.g. cheese and meat), field plots and landscape levels.
The students will be introduced to the basics of chemometrics, near infrared spectroscopy and digital imaging by state of the arte lecturing, practical laboratory work using, high‐speed hyperspectral,
video meter and satellite imagines e.g. the Sentinel‐2 Satellite for monitoring land and vegetation.
Applications will be presented on animal tissue, plants, food products (e.g. cheese and meat), field plots and landscape levels.
Syllabus and other information
Syllabus
PNS0146 Introduction to hyperspectral imaging with focus on near infrared spectroscopy, 3.0 Credits
Subjects
BiologyEducation cycle
Postgraduate levelGrading scale
Pass / Failed
Prior knowledge
Admitted to a postgraduate program in animal/agricultural/forest/landscaping sciences, archaeology,veterinary medicine, food science, or related subjects, or to a residency program in veterinary
science.
Objectives
After completing the course the student shall be able to: 1) describe the basic theory behind the hyperspectral imaging techniques and have basic knowledge of contemporary spectral instrumentation (cameras). 2) conduct basic hyperspectral analysis and relate the spectral data obtained to reference information. 3) show a basic knowledge on how to operate software used to analyse data from hyperspectral technology and chemometric information.Content
The course offers an introduction to hyperspectral imaging using desk top/lab, airborn (drone) and satellite techniques for the classification and quantification of spatial distributions and chemometrics in animal, agricultural, food, ecology and related sciences. The students will learn to interpret hyperspectral images using chemometrics and multivariate image and data analysis by user‐friendly and intuitive software solutions. The students will be introduced to the basics of chemometrics, near infrared spectroscopy and digital imaging by state of the arte lecturing, practical laboratory work using, high‐speed hyperspectral, video meter and satellite imagines e.g. the Sentinel‐2 Satellite for monitoring land and vegetation. Applications will be presented on animal tissue, plants, food products (e.g. cheese and meat), field plots and landscape levels.Additional information
March‐May 2018, maximum 20 studentsPreliminary schedule
March 30: Pre‐course reading of material is available
April 23-25: Block 1. Lectures, exercises and laboratory work in Umeå from appr. 10 am Monday to 3 pm Wednesday.
Home studies between blocks
April and May 14-16, Block 2. Lectures, exercises and laboratory work in Umeå from appr. 10 am Monday to 3 pm Wednesday
May 31: Last day to submit individual task for examination.
Responsible department
Department of Agricultural Research for Northern Sweden