Remote sensing of landscapes with spectral images: A physical modeling approach

Remote Sensing of Landscapes with Spectral Images: A Physical Modeling Approach

Volumn , Issue , 2006, Pages 1-362

  Adams, John B ^a   Gillespie, Alan R ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRIDGES; SPECTROSCOPY;

DIGITAL COLOR; PHYSICAL MODEL; REAL IMAGES; SPECTRAL IMAGES;

REMOTE SENSING;

EID: 85010402319     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9780511617195     Document Type: Book

References (94)

1. Adams, J. B. (1974). Visible and near-infrared diffuse reflectance spectra of pyroxenes as applied to remote sensing of solid objects in the solar system. Journal of Geophysical Research 79, 4829-36.
2. Adams, J. B. and Adams, J. D. (1984). Geologic mapping using LANDSAT MSS and TM images: removing vegetation by modeling spectral mixtures. Third Thematic Conference, Remote Sensing for Exploration Geology, ERIM 2, Michigan, Enivironmental Research Institute of Michigan, pp. 615-22.
3. Adams, J. B., Sabol, D. E., Kapos, V. et al. (1995). Classification of multispectral images based on fractions of endmembers: application to land-cover change in the Brazilian Amazon. Remote Sensing of Environment 52, 137-54.
4. Adams, J. B., Smith, M. O., and Johnson, P. E. (1986). Spectral mixture modeling: a new analysis of rock and soil types at the Viking Lander I site. Journal of Geophysical Research 91, 8098-112.
5. Allen, W. A. and Richardson, A. J. (1968). Interaction of light with a plant canopy. Journal of the Optical Society of America 58(8), 1023-8.
6. Anderson, J. R., Hardy, E. T., Roach, J. T., and Witmer, R. E. (1976). A land use and land cover classification system for use with remote sensor data. US Geological Survey Professional Paper 964, Washington, DC, Department of the Interior.
7. Berk, A., Bernstein, L. S., Anderson, G. P. et al. (1998). MODTRAN cloud and multiple scattering upgrades with application to AVIRIS. Remote Sensing of Environment 65, 367-75.
8. Bierregaard, R. O., Jr., Gascon, C. G., Lovejoy, T. E., and Mesquita, R. C. G. (2001). Lessons from Amazonia: the Ecology and Conservation of a Fragmented Forest. New Haven, Yale University Press.
9. Boardman J.W. (1993). Automated spectral unmixing of AVIRIS data using convex geometry concepts. In Summaries of the 4th JPL Airborne Geoscience Workshop. Pasadena, CA: Jet Propulsion Laboratory, California Institute of Technology, JPL Pub. 93-26, vol. 1, pp. 11-14.
10. Bohlman, S. A. (2004). The relationship between canopy structure, light dynamics and deciduousness in a seasonal tropical forest in Panama: a multiple scale study using remote sensing and allometry. Ph.D. dissertation, University of Washington, DC.
11. Bohlman, S. A., Adams, J. B., Smith, M. O., and Peterson, D. L. (1998). Seasonal foliage changes in the eastern Amazon basin detected from Landsat Thematic Mapper satellite images. Biotropica 30, 376-91.
12. Burns, R. G. (1970). Mineralogical Applications of Crystal Field Theory. Cambridge, Cambridge University Press.
13. Chrisman, N. R. (1997). Exploring Geographic Information Systems. New York, John Wiley & Sons.
14. Clark, R. N. (1999). Spectroscopy of rocks and minerals and principles of spectroscopy. In Remote Sensing for the Earth Sciences: Manual of Remote Sensing, 3rdedn., ed. A. N. Rencz. New York, John Wiley & Sons, vol. 3, pp. 3-58.
15. Clark, R. N. and Roush, T. L. (1984). Reflectance spectroscopy: quantitative analysis techniques for remote sensing applications. Journal of Geophysical Research 89, 6329-40.
16. Clark, R. N., Swayze, G. A., Livo, K. E. et al. (2003). Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems. Journal of Geophysical Research 108(E12), 5131. http://speclab.cr.usgs.gov/ PAPERS/tetracorder.
17. Conel, J. E. (1990). Determination of surface reflectance and estimates of atmospheric optical depth and single scattering albedo from Landsat Thematic Mapper data. International Journal of Remote Sensing 11(5), 783-828.
18. Crist, E. P. and Cicone, R. C. (1984). Comparisons of the dimensionality and features of simulated Landsat-4 MSS and TM data. Remote Sensing of Environment 14, 235-46.
19. Crist, E. P. and Kauth, R. J. (1986). The tasseled cap de-mystified. Photogrammetric Engineering and Remote Sensing 52(1), 81-6.
20. Crist, E. P., Laurin, R., and Cicone, R. C. (1986). Vegetation and soils information contained in transformed Thematic Mapper data. In IGARSS’86, Zurich, ESA Publications Division, vol. ESA SP-254, pp. 1465-72.
21. Curtiss, B., Adams, J. B., and Ghiorso, M. (1985). Origin, development and chemistry of silica-alumina rock coatings from the semi-arid regions of the island of Hawaii. Geochimica et Cosmochimica Acta 40, 49-56.
22. Ehrlich, P. R. and Ehrlich, A. H. (2004). One With Nineveh. Washington, Island Press.
23. Elvidge, C. D. (1989). Vegetation reflectance features in AVIRIS data. Proceedings of the sixth Thematic Conference on Remote Sensing for Exploration Geology, Houston, Texas, May 16-19.
24. Farr, T. and Adams, J. B. (1984). Rock coatings in Hawaii. Geological Society of America Bulletin 95, 1077-83.
25. Gillespie, A. R. (1992). Spectral mixture analysis of multispectral thermal infrared images. Remote Sensing of Environment 42(2), 137-145.
26. Gillespie, A. R., Adams, J. B., Smith, M.O. et al. (1995). Forest mapping potential of ASTER. Journal of Remote Sensing Society, Japan 15(1), 62-71.
27. Gillespie, A. R., Kahle, A. B., and Palluconi, F. D. (1984). Mapping alluvial fans in Death Valley, California, using multichannel thermal infrared images. Geophysical Research Letters 11, 1153-6.
28. Gillespie, A. R., Kahle, A. B., and Walker, R. E. (1986). Color enhancement of highly correlated images, I. Decorrelation and HSI contrast stretches. Remote Sensing of Environment 20, 209-35.
29. Goetz, A. F. H. and Billingsley, F. C. (1973). Digital image enhancement techniques used in some ERTS application problems. In Third Earth Resources Technology Satellite-1 Symposium. Washington, DC, National Aeronautics and Space Administration, NASA SP-351, pp. 1911-93.
30. Goetz, A. F. H., Vane, G., Solomon, J. E. and Rock, B. N. (1985). Imaging spectrometry for Earth remote sensing. Science 228(4704), 1147-53.
31. Greenberg, J. D. (2000). Analysis of urban-rural gradients using satellite data. Ph.D. dissertation, University of Washington, Seattle, WA.
32. Gu, D. and Gillespie, A. (1998). Topographic normalization of LANDSAT TM images of forests based on subpixel sun-canopy-sensor geometry. Remote Sensing of Environment 64, 166-75.
33. Gu, D., Gillespie, A. R., Adams, J. B., and Weeks, R. (1999). A statistical approach for topographic correction of satellite images using spatial context information. IEEE Transactions on Geoscience and Remote Sensing, 37(1), 236-46.
34. Hall, F. G., Knapp, D. E., and Huemmrich, K. F. (1997). Physically based classification and satellite mapping of biophysical characteristics in the southern boreal forest. Journal of Geophysical Research, 102(D24), 29567-80.
35. Hall, F. G., Strebel, D. E., Nickeson, J. E., and Goetz, S. J. (1991). Radiometric rectification: toward a common radiometric response among multidate, multisensor images. Remote Sensing of Environment 35, 11-27.
36. Hapke, B. (1967). A readily available material for the simulation of lunar optical properties. Icarus 6, 277-8.
37. Hapke, B. (1993). Theory of Reflectance and Emittance Spectroscopy. Cambridge, Cambridge University Press.
38. Harsanyi, J. C. and Chang, C. I. (1994). Detection of low-probability subpixel targets in hyperspectral image sequences with unknown backgrounds. IEEE Transactions on Geoscience and Remote Sensing 32, 779-85.
39. Head, J. W., Pieters, C., McCord, T. B., Adams, J. B., andZisk, S. (1978). Definition and detailed characterization of lunar surface units using remote observations. Icarus 33, 145-72.
40. Holben, B. N., Schutt, J. B., and McMurtrey, J., III (1983). Leaf water stress detection utilizing Thematic Mapper bands 3, 4 and 5 in soybean plants. International Journal ofRemote Sensing 4, 289-97.
41. Hook, S. J., Abbott, E. A., Grove, C., Kahle, A. B., and Palluconi, F. (1999). Use of multispectral thermal infrared data in geological studies. In Remote Sensing for the Earth Sciences: Manual of Remote Sensing, 3rd edn., ed. A. N. Rencz. New York, John Wiley & Sons, vol. 3, pp. 59-103.
42. Huete, A., Justice, C., and Liu, H. (1994). Development of vegetation and soil indices for MODIS-EOS. Remote Sensing ofEnvironment 49, 224-34.
43. Huete, A. R., Liu, H. Q., Batchily, K., and van Leeuwen, W. (1997). Comparison of vegetation indices over a global set of TM images for EOS-MODIS. Remote Sensing of Environment 59, 440-51.
44. Jensen, J. R. (1996). Introductory Digital Image Processing: a Remote Sensing Perspective, 2nd. edn. Upper Saddle River, NJ, Prentice Hall.
45. Kahle, A. B., Gillespie, A. R., Abbott, E. A. et al. (1988). Relative dating of Hawaiian lava flows using multispectral thermal infrared images: a new tool for geologic mapping of young volcanic terranes. Journal of Geophysical Research 93, 15239-51.
46. Kapos, V., Wandelli, E., Camargo, J. L., and Ganade, G. 1997. Edge-related changes in environment and plant responses due to forest fragmentation in central Amazonia. In Tropical Forest Remnants: Ecology, Management, and Conservation ofFragmented Communities, eds. W. F. Lawrence and R. O. Bierregaard, Jr. Chicago, University of Chicago Press, pp. 33-44.
47. Kauth, R. J. and Thomas, G. S. (1976). The tasseled cap - a graphic description of the spectral-temporal development of agricultural crops as seen by LANDSAT. Symposium Proceedings, Machine Processing of Remotely Sensed Data. Purdue University, IN, pp. 41-51.
48. Kruse, F. A. (1999). Visible and infrared: sensors and case studies. In Remote Sensing for the Earth Sciences: Manual of Remote Sensing, 3rd edn., ed. A. N. Rencz. New York, John Wiley & Sons, vol. 3, pp. 567-611.
49. Li, X., Strahler, A. H., and Woodcock, C. E. (1995). A hybrid geometric optical radiative transfer approach for modeling albedo and directional reflectance of discontinuous canopies. IEEE Transactions on Geoscience and Remote Sensing 33, 466-80.
50. Linthicum, K. J., Anyamba, A., Tucker, C. J. (1999). Climate and satellite indicators to forecast Rift Valley fever epidemics in Kenya. Science 285(5426), 397-400.
51. Logsdon, M. G., Kapos, V., and Adams, J. B. (2001). Characterizing the changing spatial structure of the landscape. In Lessons from Amazonia: the Ecology and Conservation of a Fragmented Forest, ed. R. Bierregaard, Jr., C. G. Gascon, T. E. Lovejoy and R. C. G. Mesquita. New Haven, Yale University Press, pp. 358-68.
52. Lucas, R. M., Honzak, M., Foody, G. M., Curran, P. J., and Corves, C. (1993). Characterizing tropical secondary forests using multi-temporal Landsat sensor imagery. International Journal of Remote Sensing 14, 3016-67.
53. Lucas, R. M., Honzak, M., Do Amaral, I., Curran, P. J., and Foody, G. M. (2002). Forest regeneration on abandoned clearances in central Amazonia. International Journal of Remote Sensing 23(5), 965-88.
54. Mandelbrot, B. B. (1967). How long is the coast of Britain? Statistical self-similarity and fractional dimension. Science 156, 636-8.
55. Mazer, A. S., Martin, M., Lee, M., and Solomon, J. E. (1988). Image-processing software for imaging spectrometry data analysis. Remote Sensing of Environment, 24(1), 201-10.
56. McCord, T. B., Charette, M., Johnson, T. V. et al. (1972). Lunar spectral types. Journal of Geophysical Research 77, 1349-59.
57. McCord, T. B., Pieters, C., and Feierberg, M. A. (1976). Multispectral mapping of the lunar surface using ground-based telescopes. Icarus 29, 1-34.
58. Mushkin, A. and Gillespie, A. R. (in press). Estimating sub-pixel surface roughness using remotely sensed stereoscopic data. Remote Sensing of Environment.
59. Mustard, J. F., Li, L. and He, G.-Q. (1998). Nonlinear spectral mixture modeling of lunar multispectral data: implications for lateral transport. Journal of Geophysical Research, 103(E8), 19419-25.
60. Mustard, J. F. and Sunshine, J. M. (1999). Spectral analysis for Earth science: investigations using remote sensing data. In Remote Sensing for the Earth Sciences: Manual of Remote Sensing, 3rd edn., ed. A. N. Rencz. New York, John Wiley & Sons, vol. 3, pp. 251-306.
61. Neukum, G., Jaumann, R., and The HRSC Co-Investigator and Experiment Team (2004). HRSC - the high resolution stereo camera of Mars Express. European Space Agency SP-1240, pp. 17-35.
62. Pech, R. P., Graetz, R. D., and Davis, A. W. (1986). Reflectance modeling and the derivation of vegetation indices for an Australian semi-arid shrubland. International Journal of Remote Sensing 7(3), 389-403.
63. Pieters, C. M. (1993). Compositional diversity and stratigraphy of the lunar crust derived from reflectance spectroscopy. In Remote Geochemical Analysis: Elemental and Mineralogical Composition, eds. C. M. Pieters and P. A. J. Englert. Cambridge, Cambridge University Press, pp. 594.
64. Richardson, A. J. and Wiegand, C. L. (1977). Distinguishing vegetation from soil background information. Photogrammetric Engineering and Remote Sensing 43, 1541-52.
65. Ridd, M. K. (1995). Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities. International Journal of Remote Sensing 16(12), 2165-85.
66. Roberts, D. A., Adams, J. B., and Smith, M. O. (1990). Predicted distribution of visible and near-infrared radiant flux above and below a transmittant leaf. Remote Sensing ofEnvironment 34(1), 1-17.
67. Roberts, D. A., Batista, G., Pereira, J., Waller, E., and Nelson, B. (1998b). Change identification using multitemporal spectral mixture analysis: applications in eastern Amazonia. In Remote Sensing Change Detection: Environmental Monitoring Applications and Methods, eds. C. Elvidge and R. Lunetta. Ann Arbor, MI, Ann Arbor Press, pp. 137-61.
68. Roberts, D. A., Gardner, M., Church, R. et al. (1998c). Mapping chaparral in the Santa Monica Mountains using multiple endmember spectral mixture models. Remote Sensing ofEnvironment 65(3), 267-79.
69. Roberts, D. A., Nelson, B. W., Adams, J. B., and Palmer, F. (1998a). Spectral changes with leaf aging in Amazon caatinga. Trees 12, 315-25.
70. Roberts, D. A., Ustin, S. L., Ogunjemiyo, S. et al. (2004). Spectral and structural measures of northwest forest vegetation at leaf to landscape scales. Ecosystems 7(5), 545-62.
71. Rosema, A., Verhoef, W., Noorbergen, H., and Borgesius, J. J. (1992). A new forest light interaction model in support of forest monitoring. Remote Sensing of Environment 42(1), 23-41.
72. Rouse, J. W., Haas, R. H., Schell, J. A., and Deering, D. W. (1973). Monitoring vegetation systems in the great plains with ERTS. In Third Earth Resources Technology Satellite-1 Symposium. Washington, DC, National Aeronautics and Space Administration, NASA SP-351, pp. 309-17.
73. Rowan, L. C., Simpson, C. J., and Mars J. C. (2004). Hyperspectral analysis of the ultramafic complex and adjacent lithologies at Mordor, NT, Australia. Remote Sensing of Environment 91(3-4), 419-31.
74. Sabins, F. F. (1996). Remote Sensing: Principles and Interpretation, 3rd edn. New York, Freeman.
75. Sabol, D. E., Adams, J. B., and Smith, M. O. (1992). Quantitative sub-pixel detection of targets in multispectral images. Journal of Geophysical Research, 97(E2), 2659-72.
76. Sabol, D. E., Jr., Gillespie, A. R., Adams, J. B., Smith, M. O., Tucker, C. J. (2002). Structural stage in Pacific northwest forests estimated using simple mixing models of multispectral images. Remote Sensing ofEnvironment, 80(1), 1-16.
77. Salisbury, J. W., Walter, L. S., Vergo, N., and D’Aria, D. M. (1991). Infrared (2.1-25 p.m) Spectra of Minerals. Baltimore, Johns Hopkins University Press.
78. Schott, J. R. (1997). Remote Sensing: the Image Chain Approach. New York, Oxford University Press.
79. Schowengerdt, R. A. (1997). Remote Sensing: Models and Methods for Image Processing, 2nd edn. San Diego, CA, Academic Press.
80. Shipman, H. and Adams, J. B. (1987). Detectability of minerals on desert alluvial fans using reflectance spectra. Journal of Geophysical Research 92, 10391-402.
81. Smith, M. O., Adams, J. B., and Sabol, D. E. (1994a). Spectral mixture analysis - new strategies for the analysis of multispectral data. In Imaging Spectrometry - a Tool for Environmental Observations, eds. J. Hill and J. Megier. Dordrecht, Kluwer Academic, pp. 125-43.
82. Smith, M. O., Adams, J. B., and Sabol, D. E. (1994b). Mapping sparse vegetation canopies. In Imaging Spectrometry - a Tool for Environmental Observations, eds. J. Hill and J. Megier. Dordrecht, Kluwer Academic, pp. 221-35.
83. Smith, M. O., Ustin, S. L., Adams, J. B., and Gillespie, A. R. (1990a). Vegetation in deserts: I. A regional measure of abundance from multispectral images. Remote Sensing of Environment 31, 1-26.
84. Smith, M. O., Ustin, S. L., Adams, J. B., and Gillespie, A. R. (1990b). Vegetation in deserts: II. Environmental influences on regional abundance. Remote Sensing of Environment 31, 27-52.
85. Strahler, A. H. (1994). Vegetation canopy reflectance modeling: recent developments and remote sensing perspectives. Remote Sensing Reviews 15, 159-94.
86. Suits, G. H. (1972). The calculation of the directional reflectance of a vegetative canopy. Remote Sensing of Environment 2, 117-25.
87. Sunshine, J. M., Pieters, C. M., and Pratt, S. F. (1990). Deconvolution of mineral absorption bands: an improved approach. Journal of Geophysical Research 95, 6955-66.
88. Tanner, E. V. J., Kapos, V., and Adams, J., 1998. Tropical forests - spatial pattern and change with time, as assessed by remote sensing. In Dynamics of Tropical Communities, eds. D. M. Newbery, H. H. T Prins, and N. D. Brown (37th Symposium of the British Ecological Society). London, Blackwell Science, pp. 599-615.
89. Tompkins, S., Mustard, J. F., Pieters, C. M., andForsyth, D. W. (1997). Optimization of endmembers for spectral mixture analysis. Remote Sensing ofEnvironment 59(3), 472-89.
90. Tucker, C. J., Townshend, R. G., and Goff, T. E. (1985). African land cover classification using satellite data. Science 227(4685), 369-75.
91. Ustin, S. L., Smith, M. O., Jacquemoud, S., Verstraete, M., and Govaerts, Y. (1999). Geobotany: vegetation mapping in Earth sciences. In Remote Sensing for the Earth Sciences, Manual of Remote Sensing, 3rd edn., ed. A.N. Rencz. New York, John Wiley & Sons, vol. 3, pp. 189-248.
92. Verhoef, W. (1984). Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model. Remote Sensing of Environment 16(2), 125-41.
93. Weeks, R. J., Smith, M. O., Pak, K. et al. (1996). Surface roughness, radar backscatter, and visible and near-infrared reflectance in Death Valley, California. Journal of Geophysical Research 101, 23077-90.
94. Wu, C. and Murray, A. T. (2003). Estimating impervious surface distribution by spectral mixture analysis. Remote Sensing of Environment 84(4), 493-505.