Quattrochi, D. A., Anderson, M., Prakash, A., Wright, R., Pagano, T., Hall, D. K., Eneva, M.,
Coolbaugh, M. F., and Allen, R. G. 2009. Thermal remote sensing: Theory, sensors, and
applications. In M. W. Jackson (Ed.), Earth Observing Platforms & Sensors, Manual of
Remote Sensing, 3rd ed. Vol. 1.Falls Church, VA: American Society of Photogrammetry
and Remote Sensing, pp. 107–187.
Quattrochi, D. A., and Luvall, J. C. 1999. Thermal infrared remote sensing data for analysis of
landscape ecological processes: Methods and applications. Landscape Ecology 14:577–598.
Quattrochi, D. A., and Luvall, J. C. 2004. Thermal Remote Sensing in Land Surface Processes.
Boca Raton, FL: CRC Press, 440 p.
Quattrochi, D. A., and Luvall, J. C. 2009. Thermal remote sensing in earth science research. In
T. Warner, M. D., Nellis and G. Foody (Eds.), Handbook of Remote Sensing. London:
Oxford University Press, pp. 64–78.
Quattrochi, D. A., Walsh, S. J., Jensen, J. R., and Ridd, M. K. 2003. Remote sensing. In G. L.
Galle and C. J. Willmot (Eds.), Geography in America at the Dawn of the 21st Century.
Oxford: Oxford University Press, pp. 376–416.
Regier, H., and Kay, J. J. 1996. An heuristic model of transformations of the aquatic ecosystems
of the Great Lakes St. Lawrence River Basin. Journal of Aquatic Ecosystem Health 5:3–21.
Rocchini, D. (Ed.). 2010a. Special issue on ecological status and change by remote sensing.
Remote Sensing 2:2072–4292.
Rocchini, D. 2010b. Ecological status and change by remote sensing. Remote Sensing 2:2424–
2425.
Sánchez, J. M., Casselles, V., Niclós, R., Valor, E., Coll, C., and Laurila, T. 2007. Evaluation of
the B-method for determining actual evapotranspiratikon in a boreal forest from MODIS
data. International Journal of Remote Sensing 28:1231–1250.
Schneider, E. D., and Kay, J. J. 1993. Exergy degradation, thermodynamics and the development of ecosystems. Energy, systems, and ecology. In G. Tsatsaronis, J. Szargut, Z. Kolenda
and A. Ziebik (Eds.), Proceedings on an International Conference on Energy Systems and
Ecology. New York, NY: Advanced Energy Systems Division, American Society of
Mechanical Engineers, Vol. 1, pp. 33–42.
Schneider, E. D., and Kay, J. J. 1994a. Life as a manifestation of the second law of
thermodynamics. Mathematical and Computer Modelling 19:25–48.
Schneider, E. D., and Kay, J. J. 1994b. Complexity and thermodynamics: towards a new
ecology. Futures 24:626–647.
Schneider, E. D., and Sagan, D. 2005. In to the Cool: Energy Flow, Thermodynamics, and Life.
Chicago: University of Chicago Press.
Shamsipour, A., Zawar-Reza, P., Kasem, S., Panah, A., and Azizi, G. 2011. Analysis of drought
events for the semi-arid central plains of Iran with satellite and meteorological based
indicators. International Journal of Remote Sensing 32:9559–9569.
Southworth, J. 2004. An assessment of Landsat TM band 6 thermal data for analyzing land
cover in tropical dry forest regions. International Journal of Remote Sensing 25:689–706.
Su, H., McCabe, M. F., and Wood, E. F. 2005. Modeling evapotranspiration during SMACEX:
Comparing two approaches for local- and regional-scale prediction. Journal of Hydrometeorology 6:910–922.
Verstraeten, W. W., Veroustraete, F., and Feyen, J. 2008. Assessment of evapotranspiration and
soil moisture content across different scales of observation. Sensors 34:70–117.
REFERENCES
59
Coolbaugh, M. F., and Allen, R. G. 2009. Thermal remote sensing: Theory, sensors, and
applications. In M. W. Jackson (Ed.), Earth Observing Platforms & Sensors, Manual of
Remote Sensing, 3rd ed. Vol. 1.Falls Church, VA: American Society of Photogrammetry
and Remote Sensing, pp. 107–187.
Quattrochi, D. A., and Luvall, J. C. 1999. Thermal infrared remote sensing data for analysis of
landscape ecological processes: Methods and applications. Landscape Ecology 14:577–598.
Quattrochi, D. A., and Luvall, J. C. 2004. Thermal Remote Sensing in Land Surface Processes.
Boca Raton, FL: CRC Press, 440 p.
Quattrochi, D. A., and Luvall, J. C. 2009. Thermal remote sensing in earth science research. In
T. Warner, M. D., Nellis and G. Foody (Eds.), Handbook of Remote Sensing. London:
Oxford University Press, pp. 64–78.
Quattrochi, D. A., Walsh, S. J., Jensen, J. R., and Ridd, M. K. 2003. Remote sensing. In G. L.
Galle and C. J. Willmot (Eds.), Geography in America at the Dawn of the 21st Century.
Oxford: Oxford University Press, pp. 376–416.
Regier, H., and Kay, J. J. 1996. An heuristic model of transformations of the aquatic ecosystems
of the Great Lakes St. Lawrence River Basin. Journal of Aquatic Ecosystem Health 5:3–21.
Rocchini, D. (Ed.). 2010a. Special issue on ecological status and change by remote sensing.
Remote Sensing 2:2072–4292.
Rocchini, D. 2010b. Ecological status and change by remote sensing. Remote Sensing 2:2424–
2425.
Sánchez, J. M., Casselles, V., Niclós, R., Valor, E., Coll, C., and Laurila, T. 2007. Evaluation of
the B-method for determining actual evapotranspiratikon in a boreal forest from MODIS
data. International Journal of Remote Sensing 28:1231–1250.
Schneider, E. D., and Kay, J. J. 1993. Exergy degradation, thermodynamics and the development of ecosystems. Energy, systems, and ecology. In G. Tsatsaronis, J. Szargut, Z. Kolenda
and A. Ziebik (Eds.), Proceedings on an International Conference on Energy Systems and
Ecology. New York, NY: Advanced Energy Systems Division, American Society of
Mechanical Engineers, Vol. 1, pp. 33–42.
Schneider, E. D., and Kay, J. J. 1994a. Life as a manifestation of the second law of
thermodynamics. Mathematical and Computer Modelling 19:25–48.
Schneider, E. D., and Kay, J. J. 1994b. Complexity and thermodynamics: towards a new
ecology. Futures 24:626–647.
Schneider, E. D., and Sagan, D. 2005. In to the Cool: Energy Flow, Thermodynamics, and Life.
Chicago: University of Chicago Press.
Shamsipour, A., Zawar-Reza, P., Kasem, S., Panah, A., and Azizi, G. 2011. Analysis of drought
events for the semi-arid central plains of Iran with satellite and meteorological based
indicators. International Journal of Remote Sensing 32:9559–9569.
Southworth, J. 2004. An assessment of Landsat TM band 6 thermal data for analyzing land
cover in tropical dry forest regions. International Journal of Remote Sensing 25:689–706.
Su, H., McCabe, M. F., and Wood, E. F. 2005. Modeling evapotranspiration during SMACEX:
Comparing two approaches for local- and regional-scale prediction. Journal of Hydrometeorology 6:910–922.
Verstraeten, W. W., Veroustraete, F., and Feyen, J. 2008. Assessment of evapotranspiration and
soil moisture content across different scales of observation. Sensors 34:70–117.
REFERENCES
59