Dinner At 7:00pm
Icebreaker dinner at local restaurant. A great opportunity to meet the course staff and the other participants.
Come out, eat come good food and drink some good beer and share some laughs as we get to know each other !
First Morning Session:
Personal introductions and overview of course content
Second Morning Session:
Introduction to remote sensing and basic image analysis concepts (lecture)
First Afternoon Session:
Working with UNIX and Python (lecture)
Second Afternoon Session:
Setting up computer user accounts and begin working with Python
First Morning Session:
Fundamentals of optics (lecture)
Second Morning Session:
Continue Python (computer work)
First Afternoon Session:
Continue Python (computer work)
Second Afternoon Session:
Continue Python (computer work)
First Morning Session:
Pigment Algorithms (lecture)
Second Morning Session:
Primary Production Algorithms (lecture)
First Afternoon Session:
Atmospheric correction (lecture)
Second Afternoon Session:
Continue Python (computer work)
First Morning Session:
Overview of SeaWiFS, MODIS , VIIRS, OLCI, and Pace missions. (lecture)
Second Morning Session:
Continue overview of SeaWiFS, MODIS , VIIRS, OLCI, and PACC missions. With guest lecture on the HawkEye mission by Sara Rivero-Calle, University of Georgia and Phil Bresnahan, University of North Carolina Wilmington. (lecture)
First Afternoon Session:
Ordering SeaWiFS, MODIS , VIIRS and OLCI Data (lecture)
Second Afternoon Session:
Ordering SeaWiFS, MODIS , VIIRS and OLCI Data (computer work)
First Morning Session:
Using SeaDAS in Interactive/GUI Mode (lecture)
Second Morning Session:
Using SeaDAS in Interactive/GUI Mode (computer work)
First Afternoon Session:
Running SeaDAS commands with pre-written Python Scripts for batch processing data from Level-1 to Level-3 (lecture)
Second Afternoon Session:
Running SeaDAS commands with pre-written Python Scripts for batch processing data from Level-1 to Level-3 (computer work)
Students will have the weekend to do anything they want. They can use these days for rest, to visit friends in the area or to explore everything Ithaca has to offer.
Bruce will provide many sugestions on the best places to visit while in Ithaca. There is no shortage of things to do with your down time in Ithaca.
Students can hike through gorges in Ithaca, go wine tasting at any of plethora of Senaca Lakes wineries, visit the Ithaca brewery and much, much more!
First Morning Session:
Running SeaDAS commands with pre-written Python Scripts for batch processing data from Level-1 to Level-3 (computer work)
Second Morning Session:
Running SeaDAS commands with pre-written Python Scripts for batch processing data from Level-1 to Level-3 (computer work)
First Afternoon Session:
Running SeaDAS commands with pre-written Python Scripts for batch processing data from Level-1 to Level-3 (computer work)
Second Afternoon Session:
Running SeaDAS commands with pre-written Python Scripts for batch processing data from Level-1 to Level-3 (computer work)
First Morning Session:
SST theory, data download and reading data into Python (lecture)
Second Morning Session:
SST theory, data download and reading data into Python (computer work)
First Afternoon Session:
SST theory, data download and reading data into Python (computer work)
Second Afternoon Session:
SST theory, data download and reading data into Python (computer work)
First Morning Session:
Wind theory, data download and reading data into Python (lecture)
Second Morning Session:
Wind theory, data download and reading data into Python (computer work)
First Afternoon Session:
ind theory, data download and reading data into Python (computer work)
Second Afternoon Session:
ind theory, data download and reading data into Python (computer work)
First Morning Session:
Altimetry theory, data download and reading data into Python (lecture)
Second Morning Session:
Altimetry theory, data download and reading data into Python (computer work)
First Afternoon Session:
Altimetry theory, data download and reading data into Python (computer work)
Second Afternoon Session:
Altimetry theory, data download and reading data into Python (computer work)
First Morning Session:
Empirical Orthogonal Function (EOF) Analysis (lecture)
Second Morning Session:
Empirical Orthogonal Function (EOF) Analysis (computer work)
Afternoon Session:
BBQ: Late Lunch/Dinner at State Park
