Introduction to Image Analysis Post Survey

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So we can get a sense of what you learned from this workshop, use the numeric scale to rate your level of understanding and use of image analysis techniques in ImageJ. Some of the techniques described here were not taught in this advanced course, but may have been covered in last week's introductory course or you may have prior experience with them. Nonetheless, this workshop may have influenced those skills and techniques. Please rate all items.

Explain the characteristics of a digital image.

1---I know nothing/am not able
2---I am aware but need assistance
3---I know it for my own use
4---I know it pretty well and could teach it to someone else if I had time to review
5---I could teach it to somebody else right now

Work with basic ImageJ tools, menus, and windows.

Recognize and apply appropriate image file formats (e.g. tiff, jpeg, png).

Use drawing and text tools to annotate a digital image.

Adjust the lookup table of a digital image.

Adjust the brightness and contrast of a digital image.

Apply basic image transformations such as scaling, cropping, and rotating.

Calibrate images for spatial and density measurements.

Measure distance and area on digital images.

Stack and animate time-series images to detect change over time.

Perform basic stack functions, such as adding and deleting slices, converting stacks to images, and creating stacks from images.

Interpret image statistics (e.g. histogram, mode, mean)

Set threshold values to select a range of pixels in an image.

Select regions of interest in images.

Make and interpret profile plots.

Construct and deconstruct true and false color images.

Process images using mathematical operations, such as filtering and image math.

Create and work with image overlays.

Use plugins or macros to add new capabilities to ImageJ.

Apply image analysis techniques to images you create.

So we can get a sense of what you learned from this workshop, use the numeric scale to rate your level of understanding and use of image analysis techniques in NASA Earth Observations (NEO). Some of the techniques described here were not taught in this advanced course, but may have been covered in last week's introductory course or you may have prior experience with them. Nonetheless, this workshop may have influenced those skills and techniques. Please rate all items.

Download satellite images from NEO.

Measure distances across NEO images.

Plot transects, select and compare regions of pixels, and calculate average pixel values.

Analyze image data using histograms.

Create scatter plots of image data.

Describe your overall experience with the course? What did you get out of it and how do you plan to use what you learned with students?

How did you hear about this opportunity?

In the future, would you like to be notified of other technology-based, professional development opportunities?

Yes. Please keep me informed of other opportunities.
No thank you. Please do not inform me of other opportunities.

Is there anything else you would like to share with us?

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