Remote Sensing Case Study

  1. Find a peer-reviewed journal article (use a library search tool or Google Scholar. Ask if you need help) making use of satellite (or airborne) remote sensing. Please report on one that covers a natural resource phenomenon or system as opposed to a military or commercial application, please. You might want to start with the name of a sensor and a problem. Remember to use the name of the SENSOR (like “TM” or “OLI” for Landsat) not just the SATELLITE (like Landsat) because some satellites carry many sensors.
    • Do not use Landsat. We’ll have plenty examples of that sensor in class.
    • Only one sensor per person, and the more satellites the better; first come – first serve using the Google Doc below to claim your sensor.
    • Make sure you can address the questions in # 2 below
    • There should be an image from the article available for us to see during class.
    • Fill out this Google Doc with your sensor and topic.
      ( if you run out of options for a sensor, see this list https://webapps.itc.utwente.nl/sensor/default.aspx?view=allsensors or visit the Earth Observatory at NASA)
    • Use the organization (NASA, etc) to find information about specific sensors.
  2. Prepare a half-page outline on your portfolio with the following including a full citation (authors, year, title, journal vol pages) and a link to the article if available electronically.
    1. Describe the following about the sensor
      1. The name of the satellite and the name of the sensor
      2. the organization that launched it and when
      3. its main purpose (e.g., weather, mapping, ocean color, rainfall, etc)
      4. state the region(s) of the EM spectrum that are sampled by the sensor and how many “bands” are collected
      5. describe the pixel resolution and/or the spatial coverage (footprint of the images), which are inversely related
    2. For the study, describe how the information was produced from the raw data (resampling, classification, stretching, draping…. as much as you understand or can simply report) and include a sample image from one step in the analysis process (or more if you choose).
    3. Describe how the image processing gave the authors more understanding of natural systems.  In other words, how was having remote sensing key in making the project successful. Please make sure the hyperlinks work so that we can follow them in class, if needed.
    4. You will have only two minutes to point out the highlights of the study and sensor to your classmates on presentation days.