Kustas, W. P., Diak, G. R., and Moran, M. S. 2003a. Evaoptranspiration, remote sensing of. In
B. A. Stewart and T. A. Howell (Eds.), Encyclopedia of Water Science. New York: Marcell
Dekker, pp. 267–274.
Kustas, W. P., French, A. N., Hatfield, J. L., Jackson, T. J., Moran, M. S., Rango, A., Ritchie,
J. C., and Schmugge, T. J. 2003b. Remote sensing research in hydrometeorology.
Photogrammetric Engineering and Remote Sensing 69:631–646.
Kustas, W. P., Hatfield, J. L., and Prueger, J. H. 2005. The Soil Moisture—Atmosphere
Coupling Experiment (SMACEX): Background, hydrometeorolgical conditions, and preliminary findsings. Journal of Hydrometeorolgy 6:791–804.
Li, F., Jackson, T. J., Kustas, W. P., Schmugge, T. J., French, A. N., Cosh, M. H., and Bindlish, R.
2004. Deriving land surface temperatures from Landsat 5 and 7 during the SMEX02/
SMACEX. Remote Sensing of Environment 92:521–534.
Li, Z.-L., Tang, R., Wan, Z., Bi, Y., Zhou, C., Tang, B., Yan, G., and Zhang, X. 2009. A review
of current methodologies for regional evapotranspiration estimation from remotely sensed
data. Sensors 9:3801–3853.
Lin, H., Cao, M., Stoy, P. C., and Zhang, Y. 2009. Assessing self-organization of plant
communities—A thermodynamic approach. Ecological Modeling 220:784–790.
Liu, S., Hu, G., Lu, L., and Mao, D. 2007. Estimation of regional evapotranspiration by TM/
ETM+ data over heterogeneous surfaces. Photogrammetric Engineering and Remote
Sensing 73:1169–1178.
Liu, Y., Hiyama, T., and Yamaguchi, Y. 2006. Scalling of land surface temperature using
satellite data: A case examination on ASTER products over a heterogeneous terrain area.
Remote Sensing of Environment 105:115–128.
Luvall, J. C., and Holbo, H. R. 1989. Measurements of short-term thermal responses of coniferous
forest canopies using thermal scanner data. Remote Sensing of Environment. 27:1–10.
Luvall, J. C., and Holbo, H. R. 1991. Thermal remote sensing methods in landscape ecology. In
M. Turner and H. Gardner (Eds.), Quantitative Methods in Landscape Ecology. New York:
Springer, pp. 127–152.
Luvall, J. C., Lieberman, D., Lieberman, M., Hartshorn, G., and Peralta, R. 1990. Estimation of
tropical forest canopy temperatures, thermal response numbers, and evapotranspiration
using an aircraft-based thermal sensor. Photogrammetric Engineering and Remote Sensing
56:1393–1401.
Maes, W. H., Pashuysen, T., Trabucco, A., Veroustraete, F., and Muys, B. 2011. Does energy
dissipation increase with ecosystem succession? Testing the ecosystem exergy theory
combining theoretical simulations and thermal remote sensing observations. Ecological
Modeling 222:3917–3941.
Mallick, K., Bhattacharya, B. K., Chaurasia, S., Dutta, S., Nigam, R., Mukherjee, J., Banerjee,
S., Kar, G., Roa, V. U. M., Gadgil, A. S., and Parihar, J. S. 2007. Evapotranspiration using
MODIS data and limited ground observations over selected agroecosystems in India.
International Journal of Remote Sensing 28:2091–2110.
Mallick, K., Bhattacharya, B. K., and Patel, N. K. 2009. Estimating volumetric surface moisture
content for cropped soils using a soil wetness index based on surface temperatures and
NDVI. Agricultural and Forest Meteorology 149:1327–1342.
Mariotto, I., Gutschick, V. P., and Clason, D. L. 2011. Mapping evapotranspiration from
ASTER data through GIS spatial integration of vegetation and terrain features. Photogrammetric Engineering and Remote Sensing 77:483–493.
REFERENCES
57
B. A. Stewart and T. A. Howell (Eds.), Encyclopedia of Water Science. New York: Marcell
Dekker, pp. 267–274.
Kustas, W. P., French, A. N., Hatfield, J. L., Jackson, T. J., Moran, M. S., Rango, A., Ritchie,
J. C., and Schmugge, T. J. 2003b. Remote sensing research in hydrometeorology.
Photogrammetric Engineering and Remote Sensing 69:631–646.
Kustas, W. P., Hatfield, J. L., and Prueger, J. H. 2005. The Soil Moisture—Atmosphere
Coupling Experiment (SMACEX): Background, hydrometeorolgical conditions, and preliminary findsings. Journal of Hydrometeorolgy 6:791–804.
Li, F., Jackson, T. J., Kustas, W. P., Schmugge, T. J., French, A. N., Cosh, M. H., and Bindlish, R.
2004. Deriving land surface temperatures from Landsat 5 and 7 during the SMEX02/
SMACEX. Remote Sensing of Environment 92:521–534.
Li, Z.-L., Tang, R., Wan, Z., Bi, Y., Zhou, C., Tang, B., Yan, G., and Zhang, X. 2009. A review
of current methodologies for regional evapotranspiration estimation from remotely sensed
data. Sensors 9:3801–3853.
Lin, H., Cao, M., Stoy, P. C., and Zhang, Y. 2009. Assessing self-organization of plant
communities—A thermodynamic approach. Ecological Modeling 220:784–790.
Liu, S., Hu, G., Lu, L., and Mao, D. 2007. Estimation of regional evapotranspiration by TM/
ETM+ data over heterogeneous surfaces. Photogrammetric Engineering and Remote
Sensing 73:1169–1178.
Liu, Y., Hiyama, T., and Yamaguchi, Y. 2006. Scalling of land surface temperature using
satellite data: A case examination on ASTER products over a heterogeneous terrain area.
Remote Sensing of Environment 105:115–128.
Luvall, J. C., and Holbo, H. R. 1989. Measurements of short-term thermal responses of coniferous
forest canopies using thermal scanner data. Remote Sensing of Environment. 27:1–10.
Luvall, J. C., and Holbo, H. R. 1991. Thermal remote sensing methods in landscape ecology. In
M. Turner and H. Gardner (Eds.), Quantitative Methods in Landscape Ecology. New York:
Springer, pp. 127–152.
Luvall, J. C., Lieberman, D., Lieberman, M., Hartshorn, G., and Peralta, R. 1990. Estimation of
tropical forest canopy temperatures, thermal response numbers, and evapotranspiration
using an aircraft-based thermal sensor. Photogrammetric Engineering and Remote Sensing
56:1393–1401.
Maes, W. H., Pashuysen, T., Trabucco, A., Veroustraete, F., and Muys, B. 2011. Does energy
dissipation increase with ecosystem succession? Testing the ecosystem exergy theory
combining theoretical simulations and thermal remote sensing observations. Ecological
Modeling 222:3917–3941.
Mallick, K., Bhattacharya, B. K., Chaurasia, S., Dutta, S., Nigam, R., Mukherjee, J., Banerjee,
S., Kar, G., Roa, V. U. M., Gadgil, A. S., and Parihar, J. S. 2007. Evapotranspiration using
MODIS data and limited ground observations over selected agroecosystems in India.
International Journal of Remote Sensing 28:2091–2110.
Mallick, K., Bhattacharya, B. K., and Patel, N. K. 2009. Estimating volumetric surface moisture
content for cropped soils using a soil wetness index based on surface temperatures and
NDVI. Agricultural and Forest Meteorology 149:1327–1342.
Mariotto, I., Gutschick, V. P., and Clason, D. L. 2011. Mapping evapotranspiration from
ASTER data through GIS spatial integration of vegetation and terrain features. Photogrammetric Engineering and Remote Sensing 77:483–493.
REFERENCES
57