234
G. Kite and A. Pietroniro
Historic satellite data are often difficult to obtain and there is a need to archive
more of the data than is currently done. In order to achieve this, potential users should
be made aware of the usefulness of these data. Before the advent of satellites, remotely sensed data came mainly from aircraft sensors flown on specific missions.
Now, remotely sensed data for hydrological modelling generally means data from
non-mission specific satellites. Such satellites have disadvantages for hydrology; the
sensors are not ideal for hydrological purposes, the resolutions are often inadequate
and the return periods are often too long. Also, many of the current satellite systems
need direct user requests in order for scenes to be acquired for a specific area of
interest. This requires operational agencies to be pro-active and committed for many
years of data acquisitions to monitor long-term trends.
The successful applications of remote sensing to surface water observations have
been summarized in this chapter. The potential of remote sensing for such applications is now well understood, although new technology and research will continually
be presented. The operational use of remote sensing for surface water applications is
slowly gaining acceptance. As an example, Radarsat data were used to track the
movement of the flood wave during the "Flood of the Century" in Southern Manitoba
and North Dakota during the spring of 1997 in the USA and Canada. This is testament
to a shift in thinking within operational agencies, fostered by hydrologic and remote
sensing research in surface water applications.
References
Adam, S, J. Weibe, M. Collins and A. Pietroniro, 1998. Evaluation of Multi-date ERS-I and Multispectral landsat Imagery for Wetland Detection in Southern Ontario, Can. 1. Rem. Sens.,24, 1,6979
Aschbacher" J.R., J.P. Delsol, T.B. Binarko Seselo, S. Vibulsresth, 1995, An Integrated Comparitive
Approach to Mangrove Vegetation Mapping using Avanced Remote Sensing and GIS Technologies: Preliminary Results, Hydrobiologia 295, 285-294
Barber, D.G., K.P. Hocheim, R. Dixon, D.R. Mosscrop and M.J. McMullan, 1996, The Role of Earth
Observation technologies in Flood Mapping: A Manitoba Case Study, Can. 1. Rem. Sens., 22, I,
137-143
Barrett, C.B., 1993. The development of the Nile hydrometeorological forecast system. Wat. Res. Bull.,
29, 6, 933-938
Baumgartner, M.F., G.A. Schultz and A. Ivan Johnson, 1997. Remote sensing and geographic
information systems for design and operation of water resources systems (Proc. Rabat Symposium,
April, 1997). lASH Pub!. 242
Birkett, C.M., 1994. Radar altimetry - A new concept in monitoring global lake level changes. EOS
Trans. AGU, 75, 24, 273-275
Birkett, C.M. and LA. Mason, 1995. A new global lakes database for a remote sensing program
studying climatically sensitive large lakes. 1. Great Lakes Res., 2 I, 3, 307-3 I 8
Birkett, C.M. and G.W. Kite, 1997. Derivation oflake areas and elevations for the Mackenzie Basin
using sateIlite remote sensing. In: G.W.Kite, A. Pietroniro and T.J. Pultz (eds.), Application of
Remote Sensing in Hydrology, Third International Workshop, Goddard Space Flight Centre,
Washington, D.C., USA, 16-18 October, 1996, NHRI Symposium No.17, 19-32
Carroll, T.R., 1985. Snow surveying. Yearbook of Science and Technology, McGraw-HilI, New York,
386-398
G. Kite and A. Pietroniro
Historic satellite data are often difficult to obtain and there is a need to archive
more of the data than is currently done. In order to achieve this, potential users should
be made aware of the usefulness of these data. Before the advent of satellites, remotely sensed data came mainly from aircraft sensors flown on specific missions.
Now, remotely sensed data for hydrological modelling generally means data from
non-mission specific satellites. Such satellites have disadvantages for hydrology; the
sensors are not ideal for hydrological purposes, the resolutions are often inadequate
and the return periods are often too long. Also, many of the current satellite systems
need direct user requests in order for scenes to be acquired for a specific area of
interest. This requires operational agencies to be pro-active and committed for many
years of data acquisitions to monitor long-term trends.
The successful applications of remote sensing to surface water observations have
been summarized in this chapter. The potential of remote sensing for such applications is now well understood, although new technology and research will continually
be presented. The operational use of remote sensing for surface water applications is
slowly gaining acceptance. As an example, Radarsat data were used to track the
movement of the flood wave during the "Flood of the Century" in Southern Manitoba
and North Dakota during the spring of 1997 in the USA and Canada. This is testament
to a shift in thinking within operational agencies, fostered by hydrologic and remote
sensing research in surface water applications.
References
Adam, S, J. Weibe, M. Collins and A. Pietroniro, 1998. Evaluation of Multi-date ERS-I and Multispectral landsat Imagery for Wetland Detection in Southern Ontario, Can. 1. Rem. Sens.,24, 1,6979
Aschbacher" J.R., J.P. Delsol, T.B. Binarko Seselo, S. Vibulsresth, 1995, An Integrated Comparitive
Approach to Mangrove Vegetation Mapping using Avanced Remote Sensing and GIS Technologies: Preliminary Results, Hydrobiologia 295, 285-294
Barber, D.G., K.P. Hocheim, R. Dixon, D.R. Mosscrop and M.J. McMullan, 1996, The Role of Earth
Observation technologies in Flood Mapping: A Manitoba Case Study, Can. 1. Rem. Sens., 22, I,
137-143
Barrett, C.B., 1993. The development of the Nile hydrometeorological forecast system. Wat. Res. Bull.,
29, 6, 933-938
Baumgartner, M.F., G.A. Schultz and A. Ivan Johnson, 1997. Remote sensing and geographic
information systems for design and operation of water resources systems (Proc. Rabat Symposium,
April, 1997). lASH Pub!. 242
Birkett, C.M., 1994. Radar altimetry - A new concept in monitoring global lake level changes. EOS
Trans. AGU, 75, 24, 273-275
Birkett, C.M. and LA. Mason, 1995. A new global lakes database for a remote sensing program
studying climatically sensitive large lakes. 1. Great Lakes Res., 2 I, 3, 307-3 I 8
Birkett, C.M. and G.W. Kite, 1997. Derivation oflake areas and elevations for the Mackenzie Basin
using sateIlite remote sensing. In: G.W.Kite, A. Pietroniro and T.J. Pultz (eds.), Application of
Remote Sensing in Hydrology, Third International Workshop, Goddard Space Flight Centre,
Washington, D.C., USA, 16-18 October, 1996, NHRI Symposium No.17, 19-32
Carroll, T.R., 1985. Snow surveying. Yearbook of Science and Technology, McGraw-HilI, New York,
386-398