1996
DOI: 10.1080/02626669609491526
|View full text |Cite
|
Sign up to set email alerts
|

Remote sensing applications in hydrological modelling

Abstract: Previous studies have suggested that remotely sensed data should provide major benefits to hydrology and water resources and yet there are few case studies that show practical benefits. One of the reasons for this is the lack of tools to convert remotely sensed data to the type of information useful to water resource systems operators. Hydrological models can play an important role in this translation of data to information. This paper reviews some of the techniques presently used in hydrological models to mak… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
67
0
3

Year Published

1999
1999
2016
2016

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 116 publications
(74 citation statements)
references
References 63 publications
(70 reference statements)
0
67
0
3
Order By: Relevance
“…The HRU approach divides watersheds into areas with uniform characteristics such as slope, aspect, soil type, elevation, and climate. These computational elements can be groups of grid squares, sub-basins, or elevation bands of different areas (Kite and Pietroniro, 1996). Further, the Cold Regions Hydrological Model (CRHM) also discretizes a watershed based on the HRU approach but differs from other hydrological models in its flexibility (Pomeroy et al, 2007).…”
Section: Approaches To Hydrological Modellingmentioning
confidence: 99%
“…The HRU approach divides watersheds into areas with uniform characteristics such as slope, aspect, soil type, elevation, and climate. These computational elements can be groups of grid squares, sub-basins, or elevation bands of different areas (Kite and Pietroniro, 1996). Further, the Cold Regions Hydrological Model (CRHM) also discretizes a watershed based on the HRU approach but differs from other hydrological models in its flexibility (Pomeroy et al, 2007).…”
Section: Approaches To Hydrological Modellingmentioning
confidence: 99%
“…The integration of remote-sensing data into hydrological studies and water balance studies has progressed over the past decades (Kite and Pietroniro, 1996;Weissling and Xie, 2008;Delrieu et al, 2009;Gumindoga et al, 2011;Silvestro et al, 2013). Remote sensing can provide land surface data relevant to specific hydrologic problems such as streamflow or runoff modeling.…”
Section: Introductionmentioning
confidence: 99%
“…Klemeš, 1983Klemeš, , 1988Schultz, 1987Schultz, , 1988, and despite many systematic and practical problems (cf. Kite and Pietroniro, 1996;Beven, 1996Beven, , 2001) a lot of modellers continued working with remotely sensed data in recent years. As satellite data availability has been much increased within the last decade, current research is finally measuring up with many expectations of the 1980s (Nagler, 2011).…”
Section: Hydrological Modelling and Remote Sensingmentioning
confidence: 99%