area making it possible <strong>to</strong> tell what type of traffic has come through <strong>the</strong> area. This could potentially be useful when selecting <strong>the</strong> best possible endmembers from a library <strong>to</strong> use in analysis <strong>for</strong> a given type of disturbance. 80
LIST OF REFERENCES Allaby, M., Anderson, R., and Crof<strong>to</strong>n, I., (2011). <strong>Desert</strong>s and Semideserts. Chicago, IL: Heinemann-Raintree,. Asner, G.P., and Heidebrecht, K.B., (2002). <strong>Spectral</strong> unmixing of vegetation, soil and dry carbon cover in arid regions: Comparing multispectral and hyperspectral observations. International Journal of Remote Sensing, 23(19), 3939–3958. Asner, G.P., and Lobell, D. B., (2000). A biogeophysical approach <strong>for</strong> au<strong>to</strong>mated SWIR unmixing of soils and vegetation. Remote Sensing of Environment, 74, 99–112. Balba, A. M., (1995). Management of problem soils in arid ecosystems. Boca Ra<strong>to</strong>n, FL: CRC Press, 13-18. Ben-Dor, E., Goldlshleger, N., Benyamini, Y., Agassi, M., and Blumberg, D.G., (2003). The spectral reflectance properties of soil structural crusts in <strong>the</strong> 1.2 <strong>to</strong> 2.5 µm spectral region. Soil Society of America Journal, 67 (1), 289–299. Bernstein, L.S., Jin, X., Gregor, B., and Adler-Golden, S.M., (2012). Quick atmospheric correction code: algorithm description and recent upgrades. Optical engineering, 51 (11), 111719-1–111719-11. Birvio, P.A., Giardino, C., Zilioli, E., (2001). Validation of satellite data <strong>for</strong> quality assurance in lake moni<strong>to</strong>ring applications. Science of The Total Environment, 268 (1-3), 3–18. Boardman, J.W., and Kruse, F.A., (2011). Analysis of imaging spectrometer data using N-dimensional geometry and a mixture-tuned matched filtering approach. IEEE Transactions on Geoscience and Remote Sensing, 49 (11), 4138–4152. Bowker, M. A., Belnap, J., Davidson, D. W., and Phillips, S. L., (2005). Evidence <strong>for</strong> micronutrient limitation of biological soil crusts: Importance <strong>to</strong> arid-lands res<strong>to</strong>ration. Ecological Applications, 15(6), 1941–1951. doi: 10.1890/04-1959 Bursik, M., and Sieh, K., (1989). Range Faulting and Volcanism in <strong>the</strong> Mono Basin, eastern Cali<strong>for</strong>nia. Journal of Geophysical Research, 94 (B11), 15, 587–15, 609. Collins, B. H., Olsen, R C., and Hackwell, J., (1997). Thermal imagery spectral Analysis. SPIE, 3118, 0277-786x. Clark, R.N., (1999). Spectroscopy of rocks and minerals, and principles of spectroscopy. In Manual of Remote Sensing, Volume 3, Remote Sensing <strong>for</strong> <strong>the</strong> Earth Sciences, (A.N. Rencz ed.), New York, NY: John Wiley and Sons, 3–58. 81
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NAVAL POSTGRADUATE SCHOOL MONTEREY,
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REPORT DOCUMENTATION PAGE Form Appr
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Approved for public release; distri
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ABSTRACT Desert areas cover approxi
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TABLE OF CONTENTS I. INTRODUCTION..
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LIST OF FIGURES Figure 1. The above
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spectrum by atmospheric effects. Re
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emoved function showing an absorpti
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LIST OF TABLES Table 1. This table
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LIST OF ACRONYMS AND ABBREVIATIONS
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I. INTRODUCTION A study published b
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II. THE PHYSICS BEHIND REMOTE SENSI
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sensitive a given sensor is to diff
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Figure 3. From Green et al. (1998),
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analyzing imagery spectra, it is mo
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After data have been converted to r
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Collins et al. (1997) was able to s
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These purposes include, but are not
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III. DESERT ECOSYSTEM CHARACTERISTI
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sagebrush of Utah, Montana, and the
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in desert regions include argids, o
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2. Biological Soil Crusts (BSCs) Bi
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2004), especially in cases where ma
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IV. STUDY SITES The focus area of t
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