SMS 598: Calibration and Validation for Ocean Color Remote Sensing, 11-29 July 2011  


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Date

 

Morning - 0830

 

Afternoon - 1330

Week 1: Foci: Successful cal/val depends on high-quality, in-water measurements. Measurements of the week: absorption, scattering, attenuation, and fluorescence

July 11 (Mon)

 

Official welcome to Maine; History and uniqueness of the class

Welcome to DMC, logistics, and safety.

Introductions and why we're all here.

Motivation for the 2011 class: General themes and statement of issues; Errors and uncertainties in measurements; What is calibration? Validation?; Concepts/framework; Side Box; Overview of Syllabus - lecture, labs, sharing the workload, lab reports, portfolio, moving toward certification...

Lecture 1: Radiation and Radiometry (EB)

 

Lecture 2: Overview of IOPs, AOPs, and the RTE (CR)

Lab 1: Playing with light; Informal introduction to scattering, absorption, fluorescence, polarization (EB)

July 12 (Tue)

 

Lecture 3: Absorption physics; absorption spectra for water, CDOM, NAP, phytoplankton, etc (CR)

Lecture 4: Phytoplankton -  pigments, photo-adaptation, and taxonomic classification; proxies/surrogates for phytoplankton. (MJP)

 

Mini-lecture: Beer's Law (MJP)

Mini-lecture: Principles of ac-meter operation, calibration, analysis (CR)

Lab 2: CDOM absorption (MJP)

Material Safety Data Sheets

July 13 (Wed)

 

Lab report: CDOM lab synthesis and summary

Lecture 5: Fluorescence - fluorescence theory; physiology as advantage and challenge to interpretation. (MJP)

Lecture 6: Fluorescence - in situ measurements and calibrations (CR)

 

 Lab 3: Particulate absorption (MJP)

 

July 14 (Thu)

 

Lab report: Particulate absorption lab synthesis and summary

Lecture 7: Physics of elastic and inelastic scattering, volume scattering and phase functions.  Scattering by water constituents. (CM)

Lecture 8 (Part 1, Part 2): Introduction to calibration/validation issues (JW)

 

Lab 4: Fluorescence: CDOM and chlorophyll (MJP)

July 15 (Fri)

 

Lab report: Fluorescence lab

Lecture 9: Scattering and attenuation - forward and backward, measurement issues, and implications for cal/val (EB)

Lecture 9a: Ocean color atmospheric correction - Using a bio-optical model to address the “black pixel assumption”

 

 

Lab 5: Scattering (EB)

July 16 (Sat)

 

 Lab report: Scattering lab synthesis and summary

Synthesis of first week: critique process of learning, Q&A on any topic; tie up loose ends (staff)

Student portfolio introduction

Chlorophyll fluorescence in-class exercise: without answers and with answers

 

No lab in afternoon

BBQ at DMC

July 17 (Sun)

 

 

 

 

Week 2. Foci: Measurement-model closure to reduce uncertainty; Measurements of the week: radiometry and reflectance

July 18 (Mon)

 

Lecture 11: Radiometric quantities and their measurement (KV)

Lecture 12: AOP introduction; Introduction to ocean color remote sensing (CM)

 

Lab 6: Introduction to radiometers and radiometric measurements/best practices/SI units (KV&EB)

Lecture 13: Radiative transfer equation (CM)

July 19 (Tue)

 

Lab 7a, Ed-to-Kd lecture: Introduction to Hydrolight (half of class; all day) (CM)

Lab 8a: Radiometry field day, preparation and cruise (half of class, all day); weather permitting; if bad, schedule will be modified (EB)

July 20 (Wed)

 

Lab 7b: Introduction to Hydrolight (half of class; all day) (CM)

Lab 8b: Radiometry field day, preparation and cruise (half of class, all day); weather permitting; if bad, schedule will be modified (EB)

July 21 (Thu)

 

Lab report: Synthesis and summary of radiometry field data and above-water reflectance from dock

Lecture 14: Atmospheric correction and adjacency effect (KV)

Lecture 15: Polarization (KV)

 

Lab 9: Analysis of radiometry profiles (Ed(0-), Lu, Lu/Ed(0-), Kd, Ku). Above water reflectance; link with in-water radiometry. Lw, R ~ Lu below surface/Ed(0+), f/Q). Entire class works on same profile (EB,KV)

July 22 (Fri)

 

Lecture 16: In situ support for atmospheric correction (JW)

Lecture 17: Rrs inversion methods a: statistical methods to obtain [chl] and/or IOPs (ratio, Neural Network) (CM)

 

Lab 9, continued: Analysis of radiometers and AOP data from cruise

Second handout: IOP data analysis

July 23 (Sat)

 

No formal class. Continue work on data; compute IOPs, apply calibrations, etc. Profiles of a, b, c total and dissolved, bb, bb/b, etc. 

July 24 (Sun)

 

 

 

 

Week 3: Foci: Sampling strategy: instruments, space/time scales. Synthesis and student products

July 25 (Mon)

 

Lab report: Synthesis and summary of Rrs & IOP data from field

Lecture 18: Closure (CM)

Lecture 19: Link between particle properties (size, packaging, composition, shape, internal structure) and IOPs (EB)

 

Lab 10: Forward closure lab with Hydrolight, using field data (CM, EB)

July 26 (Tue)

 

Lab report: Synthesis of forward closure

Lecture 20 (Part 1, Part 2): Rrs inversion methods: semi-analytical models to obtain IOPs. (CR&JW)

Lecture 21: Life of a pixel and nitty-gritty of NASA calibration; issues of cal/val; sampling and measurement strategies, including scales: m to km and seconds to years (JW et al.)

 

Lecture 22: Uncertainty analysis and propagation of error (EB, JW)

Lab 11, codes: Inversions from remote sensing to IOPs (CR, JW)

July 27 (Wed)

 

Lab report: Synthesis of inversions

Lecture 23: Primary productivity various approaches (MJP)

Lecture 24: POC and other proxies-optical properties (IC, MJP)

 

Lab 12: (and lecture) Mie theory (EB) and codes

Lab 13: Inversion models including models in NASA operation satellite processing software (JW)

 

Lobster bake for dinner at Round Pond

July 28 (Thu)

 

Lab report: Synthesis of Mie lab and inversions

Lecture 25: Rrs inversion methods for shallow-water remote sensing (spectrum matching) (CM)

 

 

Lab 14: Portfolio completion: Each student will create a portfolio, and submit it. Each derived parameter or measurement should have methods, uncertainties, and closure. Document with figures (and figure captions) showing progression from raw to calibrated data. Example data set with data for each step, from raw to fully calibrated. Documented code for processing each instrument. Photos, as appropriate, showing instrument setup.

July 29 (Fri)

 

Practicum and assessment

 

Practicum and assessment

July 30 (Sat)

 

 Vacate dorms by 1000