Module 8 Lab: Thermal & Multispectral Analysis
For this laboratory exercise, students learned to combine layers of satellite data into single images using both ERDAS Imagine and ArcMap. They then examined the image, especially the thermal infrared band, and interpreted various features in it.
Student Learning Outcomes:
- Interpret radiant energy using the Stefan Boltzmann constant
- Create composite multispectral images in both ERDAS and ArcMap
- Adjust image symbology and band combinations in ArcMap
- Interpret thermal infrared data
STUDENT SPOTLIGHT AWARDS
The following students were chosen for their exception work on the Module 8 Lab: Thermal & Multispectral Analysis assignment:
What we like: Both Dave and Steven's maps demonstrate a high level of comprehension of thermal imagery. Their maps highlight features that have different thermal intensities as well as "hot spots" of thermal activity that might be of very different land cover types. Both Dave and Steve's map are very visually compelling and demonstrate the possibilities of using thermal remote sensing in a range of land over analyses. Both maps also contain an additional multi-band image and labels (in both cases using the "visual" spectrum) that help to demonstrate how different land cover features might actually have similar thermal energy signatures. In addition, the map descriptions attached to both maps, provide clearly written background material to assist the reader with understanding the image processing and data utilized to produce the final map output
What we like: Both Dave and Steven's maps demonstrate a high level of comprehension of thermal imagery. Their maps highlight features that have different thermal intensities as well as "hot spots" of thermal activity that might be of very different land cover types. Both Dave and Steve's map are very visually compelling and demonstrate the possibilities of using thermal remote sensing in a range of land over analyses. Both maps also contain an additional multi-band image and labels (in both cases using the "visual" spectrum) that help to demonstrate how different land cover features might actually have similar thermal energy signatures. In addition, the map descriptions attached to both maps, provide clearly written background material to assist the reader with understanding the image processing and data utilized to produce the final map output
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.