The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Tracking Fresh Water from Space
Abstract
Stream flow is traditionally monitored with channel gauges that measure the water height. This method is costly, often not implemented in remote regions, and incapable of measuring flow on floodplains and wetlands. Without these observations, global models of climate and water management are poorly constrained. In their Perspective, Alsdorf and Lettenmaier argue that satellite observations are required to measure the spatial diversity of the water surface across the globe. Three different satellite-based methods can measure water volumes in floodplains, channels, lakes, and reservoirs. Further development of these methods should allow global, volumetric measurements of fresh water from space.
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Cites
Global Water Resources: Vulnerability from Climate Change and Population Growth
Vörösmarty, C. J., Green, P., Salisbury, J., & Lammers, R. B. (2000) · Science · doi:10.1126/science.289.5477.284 · Cited by 5,036
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Ohmura, A., & Wild, M. (2002) · Science · doi:10.1126/science.1078972 · Cited by 245
The need for global, satellite‐based observations of terrestrial surface waters
Alsdorf, D. E., Lettenmaier, D. P., & Vörösmarty, C. J. (2003) · Eos · doi:10.1029/2003eo290001 · Cited by 122
Self-citationAllen, D. (2001) · Cited by 94
Cited by
The Shuttle Radar Topography Mission
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., et al. (2007) · Reviews of Geophysics · doi:10.1029/2005rg000183 · Cited by 8,927
Self-citationThe SWOT Mission and Its Capabilities for Land Hydrology
Biancamaria, S., Lettenmaier, D. P., & Pavelsky, T. M. (2016) · Surveys in Geophysics · doi:10.1007/s10712-015-9346-y · Cited by 458
Self-citationTowards understanding the dynamic behaviour of floodplains as human-water systems
Di Baldassarre, G., Kooy, M., Kemerink, J. S., & Brandimarte, L. (2013) · Hydrology and Earth System Sciences · doi:10.5194/hess-17-3235-2013 · Cited by 300
He, Q., Fok, H. S., Chen, Q., & Chun, K. P. (2018) · Sensors · doi:10.3390/s18093076 · Cited by 19
A long-term monthly surface water storage dataset for the Congo basin from 1992 to 2015
Kitambo, B. M., Papa, F., Paris, A., Tshimanga, R. M., Frappart, F., Calmant, S., Elmi, O., Fleischmann, A. S., Becker, M., Tourian, M. J., et al. (2023) · Earth System Science Data · doi:10.5194/essd-15-2957-2023 · Cited by 19
Metadata
- Authors
- Alsdorf, D. E., & Lettenmaier, D. P.
- Venue
- Science
- Published
- 2003-09-12
- Volume
- 301
- Issue
- 5639
- Pages
- 1491-1494
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1987901514
- Cited by
- 310
- References
- 7
- FWCI
- 8.82
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.