Hyperspectral Remote Sensing (Ch14: 407-417)

1. What is the basis and capability of hyperspectral Remote Sensing?
2. What practice does hyperspectral R.S. use and how is it used?
3. Where and when was one of the first airborne hyperspectral sensors designed and how many spectral channels did it have and how far were they spaced?
4. What is the purpose of Spectral Mixing Analysis?
5. What is a spectral library?

1. What are conventional remote sensing and hyperspectral remote sensing based upon?
2. What does hyperspectral data have?
3. How do instruments for hyperspectral remote sensing differ from more conventional remote sensing instruments?
4. When does non-linear mixing occur?
5. What is spectral mixing analysis?

Applications in Plant Sciences (Ch16: 450-485)

1. What are vegetation indices, or VIs? What do high values of the VI identify?
2. True or False. Differences between vegetation classes are often more distinct in the near infrared than in the visible?
3. The absorption edge of chlorophyll shifts toward longer wavelengths as plants mature, this change is referred to as the ________.
4. Why is lidar data an effective tool for forest management?
5. The tasseled cap transformation produced a set of four new variables, Kauth and Thomas interpret the four new bands designated as (TC=tasseled cap band) TC1, TC2, TC3, and TC4. When analyzing agricultural scenes what are the specific characteristics of these designations?

1. What pigment in living leaves is chiefly responsible for the spectral responses visible to humans and why is it the color we see?
2. Why is the near infrared portion of the spectrum important in vegetation applications of remote sensing?
3. What is the red shift phenomenon?
4. Why is a comparison of the red and near infrared bands important to remote sensing of vegetation?
5. What should be done with digital data values when comparing a ratio or Vegetation Index (VI) over time or between sensors??

Analysis and Prediction of Surface Runoff in an Urban Watershed Using Satellite Imagery.

1. What algorithm was used for establishing the land-use classifications developed in the study, what might be a concern of using this method?
2. What scheme did the researchers use to establish informational classes, name several categories?
3. What type of model is the SLUETH UGM, statistical or pattern based, what are the two general phases of its operation?
4. What purpose did the two land use classification serve in implementing the SLEUTH model?
5. Although the model requires four land-use images for calibration, this study could provide only two, what was used to calibrate the model coefficients and how did the researchers validate the classification products they were able to supply.