Thermal Remote Sensing in Earth Science Research

The SAGE Handbook of Remote Sensing

Volumn , Issue , 2008, Pages 64-78

  Quattrochi, Dale A ^a   Luvall, Jeffrey C ^a  

^a NASA HEADQUARTERS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84949763877     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4135/9780857021052.n5     Document Type: Chapter

References (67)

1. Bakker, W., 2003 Earth Observation Satellite Launch Table. http://www.itc.nl/~bakker/launch-table.html. Last accessed January 22, 2008.
2. Berk, A., G. P.Anderson, P. K.Acharya, J. H.Chetwynd, L. S.Bernstein, E. P.Shettle, M. W.Matthew, and S. M.Adler-Golden, 1999. MODTRAN4 Users Manual. U.S. Air Force Research Laboratory, Space Vehicles Directorate, Air Force Material Command, Hanscom Air Force Base, MA.
3. Beverly, A. M. and P. G.Penton, 1989. ELAS, Earth Resources, Laboratory Applications Software, Volume II, User Reference. NASA Earth Resources Laboratory Report No. 183. NSTL, MS.
4. Carlson, T. N., 1995. Soil-Vegetation-Atmosphere Transfer (SVAT) Modeling/Remote Sensing. NASA-EOS Report, 1995.Earth System Science Center, Pennsylvania State University, http://dbwww.essc.psu.edu/reports/annual_95/svat.html (last accessed January 22, 2008).
5. Carlson, T. N., D. A. J.Ripley, and T. J.Schmugge, 2004. Rapid soil drying and its implications for remote sensing of soil moisture and the surface energy fluxes. In D. A.Quattrochi and J. C.Luvall (eds), Thermal Remote Sensing in Land Surface Processes. CRC Press, Boca Raton, FL. Chapter 6: 185-204.
6. Chen, E. L. H.Allen, Jr. J. F.Bartholic R. G.Bill, Jr. R. A.Sutherland. Satellite-sensed winter nocturnal temperature patterns of the Everglades agricultural area. Journal of Applied Meteorology 18 992-1002. 1979. doi:10.1175/1520-0450(1979)018<0992:SSWNTP>2.0.CO;2 http://dx.doi.org/10.1175/1520-0450%281979%29018%3C0992:SSWNTP%3E2.0.CO;2
7. Chen, E. L. H.Allen, Jr. J. F.Bartholic J. F.Gerber. Delineation of cold-prone areas using nighttime SMS/GOES thermal data: Effects of soils and water. Journal of Applied Meteorology 21 1528-1537. 1982. doi:10.1175/1520-0450(1982)021<1528:DOCPAU>2.0.CO;2 http://dx.doi.org/10.1175/1520-0450%281982%29021%3C1528:DOCPAU%3E2.0.CO;2
8. Fraser, R. and J. J.Kay, 2004. Exergy analysis of ecosystems: Establishing a role for thermal remote sensing. In D. A.Quattrochi and J. C.Luvall (eds), Thermal Remote Sensing in Land Surface Processes. CRC Press, Boca Raton, FL. Chapter 9: 283-360.
9. Gillies, R. and B.Temesgen, 2004. Coupling thermal infrared and visible satellite measurements to infer biophysical variables at the land surface. In D. A.Quattrochi and J. C.Luvall (eds), Thermal Remote Sensing in Land Surface Processes. CRC Press, Boca Raton, FL. Chapter 5: 160-184.
10. Gluch, R. D. A.Quattrochi J. C.Luvall. A Multi-scale approach to urban thermal analysis. Remote Sensing of Environment 104 123-132. 2006. doi:10.1016/j.rse.2006.01.025 http://dx.doi.org/10.1016/j.rse.2006.01.025
11. Gonzalez, J. E., J. C.Luvall, D. L.Rickman, D.Comarazamy, and A. J.Picon, 2007. Urban heat island identification and climatologic analysis in a coastal, tropical city: San Juan, Puerto Rico. In Q.Weng and D. A.Quattrochi (eds), Urban Remote Sensing. CRC Press, Boca Raton, FL. Chapter 11: 223-268.
12. Goward, S. N., T.Arvidson, D. L.Williams, R.Irish, and J.Irons, in this volume. Moderate Spatial Resolution Optical Sensors. Chapter 9.
13. Goward, S. N. G. D.Cruickshanks A. S.Hope. Observed relation between thermal emission and reflected spectral radiance of a complex vegetated surface. Remote Sensing of Environment 18 137-146. 1985. doi:10.1016/0034-4257(85)90044-6 http://dx.doi.org/10.1016/0034-4257%2885%2990044-6
14. Graham, M. H., B. G.Junkin, M. T.Kalcic, R. W.Pearson, and B. R.Seyfarth, 1986. Earth Resources Laboratory Applications Software. Revised January 1986. NASA Earth Resources Laboratory Report No. 183. NSTL, MS.
15. Gupta, R. P., 2003. Remote Sensing Geology.Springer, Cambridge, MA.
16. Holbo, H. J.Luvall. Modeling surface temperature distributions in forest landscapes. Remote Sensing of Environment 27 11-24. 1989. doi:10.1016/0034-4257(89)90033-3 http://dx.doi.org/10.1016/0034-4257%2889%2990033-3
17. Hook, S. J. Gabell, A. R. Green, A. A. P. S.Kealy. A Comparison of Techniques for Extracting Emissivity Information from Thermal Infrared Data for Geologic Studies. Remote Sensing Environment 42 123-135. 1992. doi:10.1016/0034-4257(92)90096-3 http://dx.doi.org/10.1016/0034-4257%2892%2990096-3
18. Hook, S. J. J. J.Myers K. J.Thome M.Fitzgerald A. B.Kahle. The MODIS/ASTER Airborne Simulator (MASTER) - A New Instrument for Earth Science Studies. Remote Sensing of Environment 76 93-102. 2001. doi:10.1016/S0034-4257(00)00195-4 http://dx.doi.org/10.1016/S0034-4257%2800%2900195-4
19. Hook, S. J. R. G.Vaughan H.Tonooka S. G.Schladow. Absolute Radiometric In-Flight Validation of Mid Infrared and Thermal Infrared Data From ASTER and MODIS on the Terra Spacecraft Using the Lake Tahoe, CA/NV, USA, Automated Validation Site. IEEE Transactions Geoscience and Remote Sensing 45 1798-1807. 2007. doi:10.1109/TGRS.2007.894564 http://dx.doi.org/10.1109/TGRS.2007.894564
20. Humes, K., R.Hardy, W. P.Kustas, J.Prueger, and P.Starks, 2004. High spatial resolution mapping of surface energy balance components with remotely sensed data. In D. A.Quattrochi and J. C.Luvall (eds), Thermal Remote Sensing in Land Surface Processes. CRC Press, Boca Raton, FL. Chapter 3: 110-132.
21. Idso, S. B. R. D.Jackson R. J.Reginato. Estimating evaporation: A technique adaptable to remote sensing science. Science 189 991-992. 1975. doi:10.1126/science.189.4207.991 http://dx.doi.org/10.1126/science.189.4207.991
22. Idso, S. B. R. D.Jackson R. J.Reginato. Compensating for environmental variability in the thermal inertia approach to remote sensing of soil moisture. Journal of Applied Meteorology 15 811-817. 1976. doi:10.1175/1520-0450(1976)015<0811:CFEVIT>2.0.CO;2 http://dx.doi.org/10.1175/1520-0450%281976%29015%3C0811:CFEVIT%3E2.0.CO;2
23. Jackson, R. D. Soil water modeling and remote sensing IEEE Transactions on Geoscience and Remote Sensing GE-24 (1) 37-46 1986. doi:10.1109/TGRS.1986.289586 http://dx.doi.org/10.1109/TGRS.1986.289586
24. Jensen, J. R., 2000. Remote Sensing of the Environment: An Earth Resource Perspective. Prentice Hall, Upper Saddle River, NJ.
25. Justice, C. O. and C. J.Tucker, in this volume. Coarse Spatial Resolution Optical Sensors. Chapter 10.
26. Kahle, A. B. Surface emittance, temperature, and thermal inertia derived from Thermal Infrared Multispectral Scanner (TIMS) data for Death Valley, California. Geophysics 52 858-874. 1987. doi:10.1190/1.1442357 http://dx.doi.org/10.1190/1.1442357
27. Kay, J. J. A nonequilibrium thermodynamic framework for discussing ecosystem integrity. Environmental Management 15 (4) 483-495. 1991. doi:10.1007/BF02394739 http://dx.doi.org/10.1007/BF02394739
28. KayJ., 2000. Ecosystems as self-organizing holarchic open systems: narratives and the second law of thermodynamics. In: S.Jorgensen and F.Miller (eds) Handbook of Ecosystem Theories and Management. CRC Press, London.
29. Kay, J. J. and E. D.Schneider, 1992a. Thermodynamicsandmea-sures of ecosystem integrity. In: D. H.McKenzie, D. E.Hyatt, and V. J.Mc Donald (eds). Ecological Indicators, Volume 1. Proceedings of the International Symposium on Ecological Indicators, Fort Lauderdale, Florida, Elsevier, New York, 456 pp.
30. Kay, J. J. and E. D.Schneider, 1992b. Thermodynamics and measures of ecosystem integrity. In D. H.McKenzie, D. E.Hyatt, and V. J.McDonald (eds). Ecological Indicators, Volume I, Proceedings of the International Symposium on Ecological Indicators. Fort Lauderdale, FL. Elsevier, Amsterdam, pp. 159-182.
31. Kay, J. E. D.Schneider. Embracing complexity, the challenge of the ecosystem approach. Alternatives 20 (3) 32-38. 1994.
32. Landsberg, H. E., 1981. The Urban Climate. Academic Press, New York.
33. Lo, C. P. D. A.Quattrochi J. C.Luvall. Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect. International Journal of Remote Sensing 18 287-304. 1997. doi:10.1080/014311697219079 http://dx.doi.org/10.1080/014311697219079
34. Luvall, J. C. H. R.Holbo. Measurements of short-term thermal responses of coniferous forest canopies using thermal scanner data. Remote Sensing of Environment 27 1-10. 1989. doi:10.1016/0034-4257(89)90032-1 http://dx.doi.org/10.1016/0034-4257%2889%2990032-1
35. Luvall, J. C. and H. R.Holbo, 1991. Thermal remote sensing methods in landscape ecology. In M. G.Turner and R. H.Gardner (eds), Quantitative Methods in Landscape Ecology. Springer-Verlag, New York.
36. Luvall, J. C. D.Lieberman M.Lierberman G. S.Hartshorn R.Peralta. Estimation oftropical forest canopy temperatures, thermal response numbers, and evapotranspiration using an aircraft-based thermal sensor. Photogrammetric Engineering and Remote Sensing 56 (10) 1393-1401. 1990.
37. Miller, D. H., 1981. Energy at the Surface of the Earth. Academic Press, New York.
38. Monteith, J. L., 1973. Principles of Environmental Physics. Edward Arnold, London, 241 pp.
39. Moran, M. S. R. D.Jackson. Assessing the spatial distribution of evapotranspiration using remotely sensed inputs. Journal of Environmental Quality 20 725-737. 1991. doi:10.2134/jeq1991.00472425002000040003x http://dx.doi.org/10.2134/jeq1991.00472425002000040003x
40. Müller, A. M. R.Richter M.Habermeyer S.Dech K.Segl H.Kaufmann. Spectroradiometric requirements for the reflective module of the airborne spectrometer ARES. IEEE Geoscience and Remote Sensing Letters 2 (3) 329-332. 2005.
41. NRC, 2007. Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond. National Research Council, The National Academies Press, Washington, DC, 400 p.
42. Nichol, J., in this volume. Remote Sensing of Urban Areas. Chapter 30.
43. Nicolis, G. and I.Prigogine, 1977. Self-Organization in Nonequi-librium Systems. J. Wiley & Sons, New York, 345 pp.
44. Odum, E. The strategy of ecosystem development. Science 164 262-270. 1969. doi:10.1126/science.164.3877.262 http://dx.doi.org/10.1126/science.164.3877.262
45. Oke, T. R., 1987. Boundary Layer Climates. John Wiley & Sons, New York, 372 pp.
46. Omega, 2007. Transactions in measurement and control. Volume 1 - Non-contact temperature measurement. http://www.omega.com/literature/transactions/volume1/trantocvol1.html (last accessed July 12 2007).
47. Ottlé, C. D.Vidal-Madjar. Assimilation of soil moisture inferred from infrared remote sensing in a hydrological model over the HAPEX-MOBILHY region. Journal of Hydrology 158 241-264. 1994.
48. Peterson, G. W. K. F.Connors D. A.Miller R. L.Day T. W.Gardner. Aircraft and satellite remote sensing of desert soils and landscapes. Remote Sensing of Environment 23 253-271. 1987. doi:10.1016/0034-4257(87)90041-1 http://dx.doi.org/10.1016/0034-4257%2887%2990041-1
49. Price, J. C. The potential of remotely sensed thermal infrared data to infer surface soil moisture and evaporation. Water Resources Research 16 (4) 787-795. 1980. doi:10.1029/WR016i004p00787 http://dx.doi.org/10.1029/WR016i004p00787
50. Price, J. C. Estimation of regional scale evapotranspiration through analysis of satellite thermal-infrared data IEEE Transactions on Geoscience and Remote Sensing GE-20 (3) 286-292 1982. doi:10.1109/TGRS.1982.350445 http://dx.doi.org/10.1109/TGRS.1982.350445
51. Price, J.C., 1989. Quantitative aspects of remote sensing in the thermal infrared. In G.Asrar (ed.), Theory and Applications of Optical Remote Sensing. John Wiley & Sons, New York. Chapter 15: 578-603.
52. Quattrochi, D. A. J. C.Luvall. Thermal infrared remote sensing for analysis of landscape ecological processes: methods and applications. Landscape Ecology 14 577-598. 1999. doi:10.1023/A:1008168910634 http://dx.doi.org/10.1023/A:1008168910634
53. Quattrochi, D. A. M. K.Ridd. Measurement and analysis of thermal energy responses from discrete urban surfaces using remote sensing data. International Journal of Remote Sensing 15 1991-2022. 1994. doi:10.1080/01431169408954224 http://dx.doi.org/10.1080/01431169408954224
54. Quattrochi, D. A. M. K.Ridd. Analysis of vegetation within a semi-arid urban environment using high spatial resolution airborne thermal infrared remote sensing data. Atmospheric Environment 32 (1) 19-33. 1998. doi:10.1016/S1352-2310(97)00179-9 http://dx.doi.org/10.1016/S1352-2310%2897%2900179-9
55. Quattrochi, D. A. J. C.Luvall D. L.Rickman M. G.Estes, Jr. C. A.Laymon B. F.Howell. A decision support information system for urban landscape management using thermal infrared data. Photogrammetric Engineering and Remote Sensing 66 (10) 1195-1207. 2000.
56. Regier, H. A. J. J.Kay. An heuristic model of transformations of the aquatic ecosystems of the great lakes-St. Lawrence river basin. Journal of Aquatic Ecosystem Health 5 (1) 3-21. 1996. doi:10.1007/BF00691726 http://dx.doi.org/10.1007/BF00691726
57. Reginato, R. J. S. B.Idso J. F.Vedder R. D.Jackson M. B.Blanchard R.Goettelman. Soil water content and evaporation determined by thermal parameters obtained from ground-based and remote measurements. Journal of Geophysical Research 8 (9) 1617-1620. 1976. doi:10.1029/JC081i009p01617 http://dx.doi.org/10.1029/JC081i009p01617
58. Reginato, R. J. R. D.Jackson P. J.Pinter, Jr. Evapotranspiration calculated from remote multispectral and ground station meteorological data. Remote Sensing of Environment 18 75-89. 1985. doi:10.1016/0034-4257(85)90039-2 http://dx.doi.org/10.1016/0034-4257%2885%2990039-2
59. Rickman, D. L., J. C.Luvall, and S.Schiller, 2000. An algorithm to atmospherically correct visible and thermal airborne imagery. Workshop on Multi/Hyperspectral Technology and Applications, Redstone Arsenal, AL.
60. Sabins, S. F. Jr., 1978. Remote Sensing: Principles and Interpretation. W. H. Freeman and Company, San Francisco.
61. Schneider, E. D. and J. J.Kay, 1993. Exergy degradation, thermodynamics and the development of ecosystems. Proceedings of an International Conference on Energy Systems and Ecology, Cracow, Poland, 10 pp.
62. Schneider, E. D. J. J.Kay. Life as a manifestation of the second law of thermodynamics. Mathematical Computer Modeling 19 (6-8) 25-48. 1994a. doi:10.1016/0895-7177(94)90188-0 http://dx.doi.org/10.1016/0895-7177%2894%2990188-0
63. Schneider, E. D. J. J.Kay. Complexity and thermodynamics: towards a new ecology. Futures 24 (6) 626-647. 1994b. doi:10.1016/0016-3287(94)90034-5 http://dx.doi.org/10.1016/0016-3287%2894%2990034-5
64. Schneider, E. D. and D.Sagan, 2005. Into the Cool; Energy Flow, Thermodynamics, and Life. 378 pp. The University of Chicago Press.
65. Sellers, P. J. F.Hall H.Margolis B.Kelly D.Baldocchi G.den Hartog J.Cihlar M.Ryan B.Goodson P.Crill K. J.Ranson D.Lettenmaier D. E.Wickland. The Boreal Ecosystem-Atmosphere study (BOREAS): An overview and early results from the 1994 field year. Bulletin of the American Meteorological Society 76 (9) 1549-1577. 1995. doi:10.1175/1520-0477(1995)076<1549:TBESAO>2.0.CO;2 http://dx.doi.org/10.1175/1520-0477%281995%29076%3C1549:TBESAO%3E2.0.CO;2
66. Strobl, P. R.Richter F.Lehmann A.Mueller B.Zhukov D.Oertel. Preprocessing for the Airborne Imaging Spectrometer DAIS 7915. SPIE Proceedings 2758 375-382 1996. doi:10.1117/12.243234 http://dx.doi.org/10.1117/12.243234
67. Taconet, O. T.Carlson R.Bernard D.Vidal-Madjar. Evaluation of a surface/vegetation parameterization using satellite measurements of surface temperature. Journal of Climate and Applied Meteorology 25 1752-1767. 1986. doi:10.1175/1520-0450(1986)025<1752:EOASPU>2.0.CO;2 http://dx.doi.org/10.1175/1520-0450%281986%29025%3C1752:EOASPU%3E2.0.CO;2