Lab 5: Field Spectroscopy – Measuring Reflectance Manually One way to generate reflectance spectra is to measure them in the lab or outdoors using instruments called field spectrometers, sometimes called radiometers or spectroradiometers. These devices measure the reflectance of a target in different wavelengths just as a multispectral satellite does. The difference is that in the field you don’t have any atmospheric effects to deal with. This is why relating satellite data to field reflectance requires the researcher to make atmospheric corrections on the satellite data, a topic we will discuss later in the semester. Field spectrometers range in price and functionality from very inexpensive (like the ones you will use today) to very expensive (~$40,000) like the one that I will demo and you will play with. UW acquired the research spectrometer as part of the Berry Biodiversity Center gift. You will work in small groups on the data collection portion of today’s lab. There is no worksheet today, but at the next class your group will hand in (or e-mail) graphs showing the reflectance curves for the materials you measured! You may be asked to draw these on the board and interpret them. Part I First I will demo the ASD FieldSpec4 full spectrum radiometer. This instrument is available for research use (and for students!) through the Berry Center Ecology Lab. There is an online form that one can fill out to borrow it. In the past, some students have used this for their semester projects. After I have demo’d the radiometer, each group will use it to generate a spectral reflectance curve for at least one of the materials that you examine in part 2 below. Part 2 1. Familiarize yourselves with the inexpensive field spectrometers. These also measure spectral reflectance, but with much less precision and over a narrower range of wavelengths than the ASD instrument. Notice the hole on the back of the unit that contains 11 diodes surrounding a central diode. Watch the diodes as you push each button on the front of the unit (you have to push and hold). What happens when you push the IR 1-4 buttons? Why? Each diode emits light of the wavelength printed on the button that turns it on (units are nm: 1 nm = 10-9 m). The sensor in the center measures the amount of light that is reflected back. This amount is displayed on the front of the spectrometer in units of 1 millivolts (mV) (a photoelectric cell is converting the amount of light received into electric potential, measured in millivolts). 2. To convert the numbers that appear on the display of the spectrometer to reflectance, we will calibrate the spectrometers using a quantity called the “dark voltage” (the reading when you put the unit over a dark target and don’t light any of the diodes—reflectance = 0%) and the reading from a white (bright) “standard” (reflectance = 100%). The white standard must be measured separately for each wavelength! This process allows us to determine the range of intensities that the spectrometer can measure (from darkest to brightest) for each wavelength, and then to figure out where the reflectance from our samples fit into that range. You will only need to calibrate the spectrometer once, and then you can apply the calibration to all of the materials you look at today. Detailed field spectrometry with an expensive instrument usually requires calibration before every reading to increase accuracy. a. Measure the dark voltage for your spectrometer by putting it over the black posterboard and recording the display number (mV) in the data sheet (provided on page 4 of this lab) without pushing any of the colored buttons. Be sure not to let any light leak in around the edges of the instrument! b. Measure the amount of light from each diode that is reflected off of the white posterboard standard and record on the data sheet. Be sure to hold each button down until the number stops changing substantially. These values are the maximum reflectance (100%) for each wavelength. You will eventually correct the voltages you measure for various objects using the equation: %Reflectance = 100*(sample voltage – black voltage)/(white voltage – black voltage) 3. Head out to Prexy’s pasture and measure reflectance for a variety of objects that you find there (e.g., green leaves, yellow leaves, flower petals, grass, concrete, soil, etc.) in all of the wavelengths on the spectrometer (see data sheet on page 4). For each sample, measure the amount of light reflected in each wavelength and record the values (mV) on the data sheet. 4. Before the next lab, use the equation (from #2 above) to calculate the %Reflectance for each object in each wavelength (you might want to use Excel). Fill in the data sheet (pg. 4). Plot the reflectance for each object on graph paper to create reflectance spectra for each sample. What are key differences between the reflectance curves for the materials? Can you explain them? Be prepared to show some of these curves to the class and to compare 2 to the curve for at least one of the materials that you generated using the ASD spectrometer. 6. The Landsat 8 satellite has a pixel size (spatial resolution) of 30 m. This means that the satellite measures reflectance from a square on the ground that is about 100’ on a side. With your group, pace out the edges of the approximate area covered by a TM pixel (1 big step is equal to about 1 meter). Leave a person on each corner of the “pixel.” What surface materials are included inside the area you defined?? How might this affect the reflectance that the satellite “sees” compared to the reflectance that you measured with the spectrometer? 7. Before you leave today be sure to return all of the spectrometers and posterboard to Ken. 3 Data Sheet 1 Spectroradiometer Measurements Dark Voltage (mV): Color Blue Cyan Green Yellow Orange Red Dp. Red IR1 IR2 IR3 IR4 Color Blue Cyan Green Yellow Orange Red Dp. Red IR1 IR2 IR3 IR4 Wavelngth (nm) 470 525 560 585 600 645 700 735 810 880 940 Wavelngth (nm) 470 525 560 585 600 645 700 735 810 880 940 White Std. Voltage (mV) Material Material Material #1 #2 #3 % Reflectance (using calibration data) Material Material Material Material #1 #2 #3 #4 4 Material #4