|
Lectures
|
Labs
|
| June 15
(Monday) |
Remote sensing
defined, prerequisites for remote sensing overview of applications |
Intro to MultiSpec,
computer images, topo map, selected image interpretation activities. |
| June 16
(Tuesday) |
Electromagnetic
energy, energy interaction with earth features. |
Intro to MultiSpec,
computer images, topo maps, selected image interpretation activities-continued. |
| June 17
(Wednesday) |
Sensors and
associated remote sensing data characteristics. |
Viewing and
selected interpretation of various digital images derived from sensors
(MSS, TM, SPOT, AVHRR, AVIRIS, digital camera/video, ATLAS, radar, GOES)
including aerial/space photography. |
| June 18
(Thursday) |
Intro to classification
of remotely sensing data (visual and computer). Discuss-data acquisition,
preprocessing, and geographic orientation. |
Intro to computer
classification research problem, study area familiarization (ground truth),
develop color composite spectral map of the study area and associate with
ground truth (topo map). |
| June 19
(Friday) |
Introduction
to unsupervised classification/cluster analysis. |
Develop and
interpret a low dimensional cluster map (12-15 clusters) of research problem
study area. |
| June 20
(Saturday) |
Field visit |
Field visit
to study area to associate earth features with color composite spectral
map and cluster map. Take photos with digital camera for possible inclusion
in final report. |
| June 21
(Sunday) |
No class or
lab. |
|
| June 22
(Monday) |
Unsupervised
classification--detailed discussion of character, uses, and interpretation
of cluster approaches. |
Detailed cluster
development and analysis of study area. Use of clustering in training field
development for supervised classification. |
| June 23
(Tuesday) |
Supervised
classification. Approaches to and development of training fields for supervised
classification. |
Development
and testing quality of training fields for supervised classification. |
| June 24
(Wednesday) |
Detailed examples
of ISURSL basic and applied research projects illustrating computer classification
and GIS integration. |
Conduct supervised
classification of study area. |
| June 25
(Thursday) |
Detailed examples
of ISURSL basic and applied research projects illustrating computer classification
and GIS integration (continued). |
Conduct supervised
classification of study area-continued. Assessment of accuracy. Reclassify
if needed. |
| June 26
(Friday) |
Course review
and exam. |
Submit project
report and brief presentation of results of each project. |