135
Spatiotemporal Interactions among Ecohydrological Factors
REFERENCES
Adger, W. N., Hughes, T. P., Folke, C., Carpenter, S. R., and Rockström, J. (2005). Social–
ecological resilience to coastal disasters. Science, 309(5737), 1036–1039.
Allenby, B. and Fink, J. (2005). Toward inherently secure and resilient societies. Science,
309(5737), 1034–1036.
Back, T., Hammel, U., and Schwefel, H. P. (1997). Evolutionary computation: Comments on the
history and current state. IEEE Transactions on Evolutionary Computation, 1(1), 3–17.
Bannari, A., Morin, D., Bonn, F., and Huete, A. R. (1995). A review of vegetation indices.
Remote Sensing Reviews, 13, 95–120.
Bastiaanssen, W. G. M., Menenti, M., and Feddes, R. A. (1998a). A remote sensing surface
energy balance algorithm for land (SEBAL)—Part I: Formulation. Journal of Hydrology,
212, 198–212.
Bastiaanssen, W. G. M., Pelgrum, H., and Wang, J. (1998b). A remote sensing surface energy
balance algorithm for land (SEBAL)—Part II: Validation. Journal of Hydrology, 212,
213–229.
Blackmore, J. M. and Plant, R. A. J. (2008). Risk and resilience to enhance sustainability
with application to urban water systems. Journal of Water Resources Planning and
Management, ASCE, 134(3), 224–233.
Burke, E. J., Shuttleworth, W. J., and French, A. N. (2001). Using vegetation indices for soilmoisture retrievals from passive microwave radiometry. Hydrology and Earth System
Sciences, 5(4), 671–677.
Casper, M. C. and Vohland, M. (2008). Validation of a large-scale hydrological model with
data fields retrieved from reflective and thermal optical remote sensing data—A case
study for the upper Rhine valley. Physics and Chemistry of the Earth—B: Hydrology,
Oceans and Atmosphere, 33(17–18), 1061–1067.
Fogel, L. J., Owens, A. J. and Walsh, M. J. (1966). Artificial Intelligence through Simulated
Evolution. John Wiley & Sons, New York.
Francone, F. D. (1998). Discipulus™ Software Owner’s Manual, version 3.0 DRAFT. Machine
Learning Technologies, Inc., CO, USA.
Gagne, C. and Parizeau, M. (2004). Genericity in evolutionary computation software tools:
Principles and case study. Technical Report RT-LVSN-2004-01. Laboratoire de Vision
et Systemes Numerique (LVSN), Universite Laval, Quebec, Canada. 28 October 2004.
Gillies, R. R., Carlson, T. N., Cui, J., Kustas, W. P., and Humes, K. S. (1997). A verification
of the ‘triangle’ method for obtaining surface soil water content and energy fluxes from
remote measurement of the normalized difference vegetation index (NDVI) and surface
radiant temperature. International Journal of Remote Sensing, 18, 3145–3166.
Glenn, N. F. and Carr, J. R. (2003). The use of geostatistics in relating soil moisture to
RADARSAT-1 SAR data obtained over the Great Basin, Nevada, USA. Computers and
Geosciences, 29(5), 577–586.
Grayson, R. B., Western, A.W., Chiew, F. H. S., and Bloschl, G. (1997). Preferred states in
spatial soil moisture patterns: Local and non-local controls. Water Resources Research,
33, 2897–2908.
Haase, D. (2009). Effects of urbanization on the water balance—A long-term trajectory.
Environmental Impact Assessment Review, 29, 211–219.
Hatfield, J. L., Kanemasu, E. T., Asrar, G., Jackson, R. D., Pinter, P. J. Jr., Reginato, R. J., and
Idso, S. B. (1985). Leaf area estimates from spectral measurements over various planting dates of wheat. International Journal of Remote Sensing, 6, 167–175.
Holland, J. M. (1975). Adaptation in Natural and Artificial Systems. University of Michigan
Press, Ann Arbor, MI, USA.
Spatiotemporal Interactions among Ecohydrological Factors
REFERENCES
Adger, W. N., Hughes, T. P., Folke, C., Carpenter, S. R., and Rockström, J. (2005). Social–
ecological resilience to coastal disasters. Science, 309(5737), 1036–1039.
Allenby, B. and Fink, J. (2005). Toward inherently secure and resilient societies. Science,
309(5737), 1034–1036.
Back, T., Hammel, U., and Schwefel, H. P. (1997). Evolutionary computation: Comments on the
history and current state. IEEE Transactions on Evolutionary Computation, 1(1), 3–17.
Bannari, A., Morin, D., Bonn, F., and Huete, A. R. (1995). A review of vegetation indices.
Remote Sensing Reviews, 13, 95–120.
Bastiaanssen, W. G. M., Menenti, M., and Feddes, R. A. (1998a). A remote sensing surface
energy balance algorithm for land (SEBAL)—Part I: Formulation. Journal of Hydrology,
212, 198–212.
Bastiaanssen, W. G. M., Pelgrum, H., and Wang, J. (1998b). A remote sensing surface energy
balance algorithm for land (SEBAL)—Part II: Validation. Journal of Hydrology, 212,
213–229.
Blackmore, J. M. and Plant, R. A. J. (2008). Risk and resilience to enhance sustainability
with application to urban water systems. Journal of Water Resources Planning and
Management, ASCE, 134(3), 224–233.
Burke, E. J., Shuttleworth, W. J., and French, A. N. (2001). Using vegetation indices for soilmoisture retrievals from passive microwave radiometry. Hydrology and Earth System
Sciences, 5(4), 671–677.
Casper, M. C. and Vohland, M. (2008). Validation of a large-scale hydrological model with
data fields retrieved from reflective and thermal optical remote sensing data—A case
study for the upper Rhine valley. Physics and Chemistry of the Earth—B: Hydrology,
Oceans and Atmosphere, 33(17–18), 1061–1067.
Fogel, L. J., Owens, A. J. and Walsh, M. J. (1966). Artificial Intelligence through Simulated
Evolution. John Wiley & Sons, New York.
Francone, F. D. (1998). Discipulus™ Software Owner’s Manual, version 3.0 DRAFT. Machine
Learning Technologies, Inc., CO, USA.
Gagne, C. and Parizeau, M. (2004). Genericity in evolutionary computation software tools:
Principles and case study. Technical Report RT-LVSN-2004-01. Laboratoire de Vision
et Systemes Numerique (LVSN), Universite Laval, Quebec, Canada. 28 October 2004.
Gillies, R. R., Carlson, T. N., Cui, J., Kustas, W. P., and Humes, K. S. (1997). A verification
of the ‘triangle’ method for obtaining surface soil water content and energy fluxes from
remote measurement of the normalized difference vegetation index (NDVI) and surface
radiant temperature. International Journal of Remote Sensing, 18, 3145–3166.
Glenn, N. F. and Carr, J. R. (2003). The use of geostatistics in relating soil moisture to
RADARSAT-1 SAR data obtained over the Great Basin, Nevada, USA. Computers and
Geosciences, 29(5), 577–586.
Grayson, R. B., Western, A.W., Chiew, F. H. S., and Bloschl, G. (1997). Preferred states in
spatial soil moisture patterns: Local and non-local controls. Water Resources Research,
33, 2897–2908.
Haase, D. (2009). Effects of urbanization on the water balance—A long-term trajectory.
Environmental Impact Assessment Review, 29, 211–219.
Hatfield, J. L., Kanemasu, E. T., Asrar, G., Jackson, R. D., Pinter, P. J. Jr., Reginato, R. J., and
Idso, S. B. (1985). Leaf area estimates from spectral measurements over various planting dates of wheat. International Journal of Remote Sensing, 6, 167–175.
Holland, J. M. (1975). Adaptation in Natural and Artificial Systems. University of Michigan
Press, Ann Arbor, MI, USA.