224 spectral measurements per

pixel

MicroImages, Inc.TNTlite

Chalcedony

Kaolinite

Alunite

Region 1

Region 2 Region 4

Region 3

Band 20 - 0.57 microns

1

2 4

3

Band 100 - 1.28 microns

Band 200 - 2.27 microns

Band Wavelength (nm) Characteristics1 450 - 520 Blue-green. Maximum penetration of water2 520 - 600 Green. Matches green reflection peak of vegetation3 630 - 690 Red. Matches a chlorophyll absorption band important to

distinguish vegetation types4 760 - 900 Reflected IR. Useful for determining biomass content and

mapping shorelines5 1550 - 1750 Reflected IR. Indicates moisture content of soil and

vegetation6 10400 - 12500 Thermal IR. Nighttime thermal mapping and soil moisture.7 2080 - 2350 Reflected IR. Mineral absorption band associated with

hydrothermally altered rocks.

The data sets provided for this exercise include AVIRIS bands 16 and 18. AVIRIS bands16, 18 and 20 correspond to 517.6nm, 537.33nm and 557.07nm. These bands spanLandsat TM Green band 2 (520-600 above). Also included in the data sets available forthis exercise is AVIRIS band 52 recorded at 846.28nm. This band lies within Landsat TMband 4. Note also that AVIRIS band 200 recorded at a 2268.4nm wavelength lies withinband 7 of the Landsat TM data.

Wavelength Landsat TM Band # AVIRIS Band # Data set name517.6 2 16 16(1 through 4).dat537.33 2 18 18(1 through 4).dat557.07 2 20 20(1 through 4).dat846.28 4 52 52(1 through 4).dat1284.2 NA 100 100(1 through 4).dat2268.4 7 200 200(1 through 4).dat

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Objective of the Introductory Exercise: Review basic concepts associated with thestatistical characterization and comparison of data.

Concepts and Tasks: Compute probability distributions for reflectance values measured in each of these

regions and at different wavelengths within the same region. Sample statistics - mean, variance, standard deviation Concepts of corrected and uncorrected sum of squares and products and their

computational forms Joint variation of two variables - for example compute covariance between

reflectance measured at different wavelength within the same area. The correlation coefficient

What to do next?Exercise 1

You have been given a total of 24 different data sets. Each data set shares some similaritywith other data sets either in terms of wavelength (or band number) and surface location.There are six different wavelengths and 4 different surface locations.

Devise a hypothesis to test certain features of the data. The hypothesis could be posed asa test of differences within a given area between the measurements of reflectance madeat different wavelengths. Alternatively a hypothesis could be formed to test fordifferences between areas measured at the same wavelength.

State your hypothesis in writing (one paragraph).

State how you will examine your hypothesis (one paragraph).

Present your results and refer to labeled figures.

All reports should be typewritten. The written report for this exercise should be no morethan one single-spaced typewritten page (12 font or less). Hand in next lab period and beprepared to present your results in group discussion.