19 Detection of Land Cover Change
433
sensing are an ideal data base for distributed hydrological modelling. Nevertheless
some limitations should be considered. The spatial resolution of land use data
should be suitable for the scale of the expected land use change. If a coarse spatial
resolution is chosen land uses of a relatively small extent may be hidden. If the
spatial resolution of classification is too fme the huge amount of data complicates
the data management. Another problem of land cover change detection consists in
the limited possibility to characterise their hydrological impacts. Usually the hydrometric networks are not sufficient to estimate the resulting hydrological
changes. By utilization of physically based models the possible hydrological effects of land cover changes can be assessed. The precondition of such assessments
is a hydrological model which represents the resulting changes in hydrological
processes with adequate accuracy. Only distributed hydrological models are able
to consider the complexity of hydrological effects which may result from changes
of land use. These effects can be strengthened or mitigated by the specific characteristics of the locations where these changes occur. Under these aspects a high
accuracy of land use classification is needed to represent not only the total amount
of land cover changes but also their spatial distribution.
References
Abbott, M.B., Bathurst, J.C., Cunge, J.A., O'Connel, P.E., Rasmussen, J. (1986) An introduction
to the European Hydrological System - Systeme Hydrologique "SHE". Journal of Hydrology
87, pp. 45-59
Ah\crona, E. (1995) CORINE Land Cover - A pilot project in Sweden. In: Askne (ed.) "Sensors
and Environmental Applications of Remote' Sensing", Proceedings of the 14th EARSel Symposium, Goteborg, Sweden, 6-8 June 1994, Balkema, Rotterdam
Allewijn R., Baker H.C. (I 993} Comparison of Landsat TM land use classifications and spatial
aggregation as input for an environmental hydrological model. In: Winkler (ed.) "Remote
Sensingfor Monitoring the Changing Environment of Europe", Balkema, Rotterdam
Baumgartner,A. (1970) Water- and energy balance of different vegetation covers. IAHS- Proceedings of the Reading Symposium "World Water Balance"
Defries, R. S., Townshend J. R. G. (I 994} NDVI-Derived Land Cover Classifications at a Global
Scale. International Journal of Remote Sensing 15, pp. 3567-3586
Dunn, S.M., Mackay, R. (1995) Spatial variation in evapotranspiration and the influence of land
use on catchment hydrology. Journal of Hydrology 171, pp. 49-73
Fuller,R., Brown,N. (1996) A CORINE map of Great Britain by automated means. Techniques
for automatic generalization of the Land Cover Map of Great Britain. International Journal
of Geographical Information Systems 8
Imhoff, M.L. (1994) Mapping Human Impacts on the Global Biosphere. BioScience 44, pp. 598
IPCC (1996) Climate Change 1995, The Science of Climate Change, Cambridge University
Press
Klemes, V. (1986): Operational testing of hydrological simulation models. Hydrological Sciences Journal 31, 1
Leavesley G.H., Stannard L.G. (1995) The Precipitation- Runoff Modelling System PRMS. In:
Singh, V.P. (Ed.) Computer Models of Watershed Hydrology, Water Resources Publications
Maidment, D.R. (1993) (ed.) Handbook of Hydrology. Mc Graw-Hill Inc.
Mehlhorn,H., Rohrle,B. (1990) Die Nitratbelastung der Grundwasservorkommen und MaBnahmen zur Reduzierung der Belastung. Wasserwirtschaji 80, H.1O
433
sensing are an ideal data base for distributed hydrological modelling. Nevertheless
some limitations should be considered. The spatial resolution of land use data
should be suitable for the scale of the expected land use change. If a coarse spatial
resolution is chosen land uses of a relatively small extent may be hidden. If the
spatial resolution of classification is too fme the huge amount of data complicates
the data management. Another problem of land cover change detection consists in
the limited possibility to characterise their hydrological impacts. Usually the hydrometric networks are not sufficient to estimate the resulting hydrological
changes. By utilization of physically based models the possible hydrological effects of land cover changes can be assessed. The precondition of such assessments
is a hydrological model which represents the resulting changes in hydrological
processes with adequate accuracy. Only distributed hydrological models are able
to consider the complexity of hydrological effects which may result from changes
of land use. These effects can be strengthened or mitigated by the specific characteristics of the locations where these changes occur. Under these aspects a high
accuracy of land use classification is needed to represent not only the total amount
of land cover changes but also their spatial distribution.
References
Abbott, M.B., Bathurst, J.C., Cunge, J.A., O'Connel, P.E., Rasmussen, J. (1986) An introduction
to the European Hydrological System - Systeme Hydrologique "SHE". Journal of Hydrology
87, pp. 45-59
Ah\crona, E. (1995) CORINE Land Cover - A pilot project in Sweden. In: Askne (ed.) "Sensors
and Environmental Applications of Remote' Sensing", Proceedings of the 14th EARSel Symposium, Goteborg, Sweden, 6-8 June 1994, Balkema, Rotterdam
Allewijn R., Baker H.C. (I 993} Comparison of Landsat TM land use classifications and spatial
aggregation as input for an environmental hydrological model. In: Winkler (ed.) "Remote
Sensingfor Monitoring the Changing Environment of Europe", Balkema, Rotterdam
Baumgartner,A. (1970) Water- and energy balance of different vegetation covers. IAHS- Proceedings of the Reading Symposium "World Water Balance"
Defries, R. S., Townshend J. R. G. (I 994} NDVI-Derived Land Cover Classifications at a Global
Scale. International Journal of Remote Sensing 15, pp. 3567-3586
Dunn, S.M., Mackay, R. (1995) Spatial variation in evapotranspiration and the influence of land
use on catchment hydrology. Journal of Hydrology 171, pp. 49-73
Fuller,R., Brown,N. (1996) A CORINE map of Great Britain by automated means. Techniques
for automatic generalization of the Land Cover Map of Great Britain. International Journal
of Geographical Information Systems 8
Imhoff, M.L. (1994) Mapping Human Impacts on the Global Biosphere. BioScience 44, pp. 598
IPCC (1996) Climate Change 1995, The Science of Climate Change, Cambridge University
Press
Klemes, V. (1986): Operational testing of hydrological simulation models. Hydrological Sciences Journal 31, 1
Leavesley G.H., Stannard L.G. (1995) The Precipitation- Runoff Modelling System PRMS. In:
Singh, V.P. (Ed.) Computer Models of Watershed Hydrology, Water Resources Publications
Maidment, D.R. (1993) (ed.) Handbook of Hydrology. Mc Graw-Hill Inc.
Mehlhorn,H., Rohrle,B. (1990) Die Nitratbelastung der Grundwasservorkommen und MaBnahmen zur Reduzierung der Belastung. Wasserwirtschaji 80, H.1O