HydroSHEDS : The Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales.
Entry ID:
WWF_HS
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Summary
Abstract:
HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced data sets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on high-resolution elevation data obtained during a Space Shuttle flight for NASA's Shuttle Radar Topography Mission (SRTM) (Source: HydroSHEDS).
Related URL
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Description:
Hydrosheds Download Site
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Geographic Coverage
(Click for Interactive Map)
Spatial coordinates
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N: 90.0
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S: -90.0
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E: 180.0
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W: -180.0
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Parent DIF
This data set description is a member of a collection. The
collection is described in
CGIAR_CIAT_LANDUSE
Access Constraints
COPYRIGHT AND REDISTRIBUTION RESTRICTIONS HydroSHEDS has been developed by the Conservation Science Program of World Wildlife Fund (WWF), hereafter referred to as "authors", in partnership with the U.S. Geological Survey (USGS), the International Centre for Tropical Agriculture (CIAT), The Nature Conservancy (TNC), and the Center for ... Environmental Systems Research (CESR) of the University of Kassel, Germany. Users may apply HydroSHEDS for non-commercial purposes. Any modification of the original data by users must be noted. The authors of HydroSHEDS may request reprints of publications and copies of derived materials. The user shall not reproduce, convert, (re)publish, (re)distribute, (re)broadcast, (re)transmit, sell, rent, lease, sublicense, lend, assign, time-share, or transfer, in whole or in part, or provide unlicensed third parties access to the data and related materials without explicit written permission from the authors. HydroSHEDS has been generated through the extensive use and incorporation of data products provided by various other authors (see "Data sources" and "Data set development"). The data and related materials may thus contain proprietary and confidential property of these authors and/or their licensor(s). HydroSHEDS data and related materials are protected by United States copyright or sui generis laws and applicable international copyright treaties and/or conventions. DISCLAIMER OF WARRANTY The data and any related materials contained therein are provided "as is" without warranty of any kind, either express or implied, including, but not limited to, the implied warranties of merchantability, fitness for a particular purpose, noninterference, system integration, or noninfringement. The entire risk of use of the data shall be with the user. The user expressly acknowledges that the data may contain some nonconformities, defects, or errors. The authors do not warrant that the data will meet the user's needs or expectations, that the use of the data will be uninterrupted, or that all nonconformities, defects, or errors can or will be corrected. The authors are not inviting reliance on these data, and the user should always verify actual data. LIMITATION OF LIABILITY In no event shall the authors be liable for costs of procurement of substitute goods or services, lost profits, lost sales or business expenditures, investments, or commitments in connection with any business, loss of any goodwill, or for any direct, indirect, special, incidental, exemplary, or consequential damages arising out of the use of the data and any related materials, however caused, on any theory of liability, and whether or not the authors have been advised of the possibility of such damage. These limitations shall apply notwithstanding any failure of essential purpose of any exclusive remedy. DISCLAIMER BY USGS Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Please note that some information contained in this data set and documentation may be preliminary in nature and presented prior to final review and approval by the Director of the USGS. ACKNOWLEDGMENT AND CITATION We kindly ask users to cite HydroSHEDS in any published material produced using this data. If possible, please provide online links to http://www.worldwildlife.org/hydrosheds for general information, and/or http://hydrosheds.cr.usgs.gov for data download and technical information. 
Use Constraints
There is no guarantee of warranty concerning the accuracy of these data. Users should be aware that temporal changes may have occurred since the data was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of their limitations. Acknowledgement of the originating agencies would be appreciated in products derived from these data. Any user who modifies the data set is obligated to describe the types of modifications they perform. User specifically agrees not to misrepresent the data set, nor to imply that changes made were approved or endorsed by the U.S. Geological Survey. Please refer to http://www.usgs.gov/privacy.html for the USGS disclaimer.
Data Set Progress
IN WORK
Distribution
Distribution Media:
FTP
Distribution Size:
Each daily granule is approximately 2.1
Distribution Format:
HDF-EOS
Personnel
Role:
INVESTIGATOR
City:
Waterloo
Province or State:
Ontario
Postal Code:
N2L 3G1
Country:
Canada
Role:
INVESTIGATOR
Phone:
301-614-5769
Fax:
301-614-5808
Email:
James.L.Foster.1 at gsfc.nasa.gov
Contact Address:
Laboratory for Hydrospheric Processes
Code 614.3
NASA Goddard Space Flight Center
City:
Greenbelt
Province or State:
MD
Postal Code:
20771
Country:
USA
Role:
TECHNICAL CONTACT
Phone:
+1 (303) 492-6199
Fax:
+1 (303) 492-2468
Email:
nsidc at nsidc.org
Contact Address:
National Snow and Ice Data Center
CIRES, 449 UCB
University of Colorado
City:
Boulder
Province or State:
CO
Postal Code:
80309-0449
Country:
USA
Role:
INVESTIGATOR
Contact Address:
City University of New York and NASA GSFC
Department of Earth and Atmosphere Sciences
City:
New York
Province or State:
NY
Postal Code:
10031
Country:
USA
Publications/References
Basist, A., N. C. Grody, T. C. Peterson, and C. N. Williams. 1998. Using the Special Sensor Microwave Imager to Monitor Land Surface Temperatures, Wetness and Snow Cover. Journal of Applied Meteorology 37(9): 888-911. Brodzik, M. J. 1997. EASE-Grid: A Versatile Set of Equal-Area Projections and Grids. Boulder, CO, USA: National Snow and Ice Data Center. Brown, R. D. and R. O. Braaten, 1998. ... Spatial and Temporal Variability of Canadian Monthly Snow Depths, 1946-1995. Atmosphere-Ocean 36: 37-45. Chang, A. T. C., and A. Rango. 2000. Algorithm Theoretical Basis Document for the AMSR-E Snow Water Equivalent Algorithm, Version 3.1. Greenbelt, MD, USA: NASA Goddard Space Flight Center. (view PDF file) Chang, A. T. C., J. L. Foster, Dorothy K. Hall, B. E. Goodison, A. E. Walker, and J. R. Metcalfe. 1997. Snow Parameters Derived from Microwave Measurements During the BOREAS Winter Field Experiment. Journal of Geophysical Research 102: 29663-29671. Chang, A. T. C., J. L. Foster, and Dorothy K. Hall. 1987. Nimbus-7 Derived Global Snow Cover Parameters. Annals of Glaciology 9: 39-44. Chang, A. T. C., J. L. Foster, Dorothy Hall, A. Rango, and B. Hartline. 1982. Snow Water Equivalence Determination by Microwave Radiometry. Cold Regions Science and Technology 5: 259-267. Chang, A. T. C., R. E. J. Kelly, J. L. Foster, and Dorothy K. Hall. The Testing of AMSR-E Snow Depth and Snow Water Equivalent Estimates in the Northern Hemisphere. Poster presented at the AGU Fall Meeting, San Fransisco, CA., 8-12 December 2003a. Chang, A. T. C., Richard E. J. Kelly, J. L. Foster, and Dorothy K. Hall. Global SWE Monitoring Using AMSR-E Data. Poster presented at the Proceedings of IGARSS, Toulouse, France, 21-25 July 2003 Chang, A. T. C., Richard E. J. Kelly, J. L. Foster, and Dorothy K. Hall. Estimation of Snow Depth from AMSR-E in the GAME-Siberia Experiment Region. Poster presented at the Proceedings of IGARSS, Alaska, USA 2004. Carroll, T. R. 1997. Integrated Ground-based, Airborne, and Satellite Snow Cover Observations in the National Weather Service. 77th AMS Annual Meeting; Symposium on Integrated Observing Systems, Long Beach, CA. Carroll, S. S., G. N. Day, N. Cressie, and T. R. Carroll. 1995. Spatial Modeling of Snow Water Equivalent Using Airborne and Ground Based Snow Data. Environmetrics 6: 127-139. Conway, D. 2002. Advanced Microwave Scanning Radiometer - EOS Quality Assurance Plan. Huntsville, AL: Global Hydrology and Climate Center. Dewey, K. F. and R. Heim, Jr. 1981. Satellite Observations of Variations in Northern Hemisphere Seasonal Snow Cover. NOAA Technical Report NESS 87. Foster, J. L., A. T. C. Chang, Dorothy K. Hall, and A. Rango. 1991. Derivation of Snow Water Equivalent in Boreal Forests Using Microwave Radiometry. Arctic 44(1):147-152. Goodison, B., A.E. Walker, and F.W. Thirkettle. 1990. Determination of Snowcover on the Canadian Prairies Using Passive Microwave Data. Proceedings of the International Symposium on Remote Sensing and Water Resources. Enschede, The Netherlands, 127-136. Grody, N. C. and A. N. Basist. 1997. Interpretation of SSM/I Measurements Over Greenland. IEEE Transactions on Geoscience and Remote Sensing 35: 360-366. Hallikainen, M. T., and P. A. Jolma. 1986. Retrieval of Water Equivalent of Snow Cover in Finland by Satellite Microwave Radiometry. Geoscience and Remote Sensing: IEEE Transactions GE-24(6):855-862. Hansen, M., R. DeFries, J. R. Townshend, M. Carroll, C. Dimiceli, and R. Sohlberg. 2003. 500m MODIS Vegetation Continuous Fields. College Park, Maryland: The Global Land Cover Facility. Hansen, M. C., R. S. DeFries, J. R. G. Townshend, M. Carroll, C. Dimiceli, and R. A. Sohlberg. 2003. Global Percent Tree Cover at a Spatial Resolution of 500 Meters: First Results of the MODIS Continuous Fields Algorithm. Earth Interactions, 7 10:15. Josberger, E. G. and N. M. Mognard. 2000. A Passive Microwave Snow Depth Algorithm with a Proxy for Snow Metamorphism. Proceedings of the Fourth International Workshop on Applications of Remote Sensing in Hydrology, Santa Fe, NM. Kelly, Richard E. J. and J. L. Foster. The AMSR-E Snow Water Equivalent Product: Status and Future Development. Poster presented at the American Geophysical Union Fall Meeting, San Francisco, CA., 5-9 December 2005a. Kelly, Richard E. J., J. L. Foster and Dorothy K. Hall. The AMSR-E Snow Water Equivalent Product: Algorithm Development and Progress in Product Validation. Poster presented at the Proceedings of the 28th General Assembly of the Union of International Radio Science, New Delhi, India, 23-29 October 2005b. Kelly, Richard. E. J., A. T. C. Chang, L. Tsang, and J. L. Foster. 2003. A Prototype AMSR-E Global Snow Area and Snow Depth Algorithm. IEEE Transactions on Geoscience and Remote Sensing 41(2): 230-242. Kelly, Richard E. J., A. T. C. Chang, J. L. Foster, Dorothy K. Hall, B. b. Stankov, and A. J. Gasiewski, A.J. Testing AMSR-E Snow Retrievals with Cold Lands Processes Experiment Data. Poster presented at the AGU Fall Meeting, San Fransisco, CA., 8-12 December 2003. Kelly, Richard E. J., A. T. C. Chang, J. L. Foster, and Dorothy K. Hall. The Effect of Sub-pixel Areal Distribution of Snow on the Estimation of Snow Depth from Spaceborne Passive Microwave Instruments. Poster presented at the Proceedings of IGARSS, Toulouse, France, 21-25 July 2003. Knowles, K. 2004. EASE-Grid Land Cover Data Resampled from Boston University Version of Global 1 km Land Cover from MODIS 2001, Version 4. Boulder CO, USA: National Snow and Ice Data Center. Digital media. Krenke, A. 1998, updated 2004. Former Soviet Union Hydrological Snow Surveys, 1966-1996. Edited by NSIDC. Boulder, CO: National Snow and Ice Data Center/World Data Center for Glaciology. Digital media. Kunzi, K. F., S. Patil and H. Rott. 1982. Snow-cover Parameters Retrieved from Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) Data. Geoscience and Remote Sensing: IEEE Transactions GE-20(4):452-467. Matzler, C. 1987. Applications of the Interaction of Microwaves with the Natural Snow Cover. Remote Sensing Reviews Series, Vol. 2. London: Taylor and Frances, Inc. Remote Sensing Rev., 2, 259-391. Pulliainen, J. T., J. Grandell, and M. T. Hallikainen. 1997. Retrieval of surface temperature in boreal forest zone from SSM/I data. IEEE Transactions on Geosciences and Remote Sensing 35: 1188-1200. Robinson, D. A. and G. Kukla. 1985. Maximum Surface Albedo of Seasonally Snow Covered Lands in the Northern Hemisphere. Journal of Climate and Applied Meteorology 24: 402-411. Rott, H. and J. Aschbacher. 1989. Proceedings of the IAHS Third International Assembly on Remote Sensing and Large Scale Global Processes, Baltimore, MD. Publicaton No. 186. Sturm, M., J. Holmgren, and G. E. Liston. 1995. A Seasonal Snow Cover Classification System for Local to Global Applications. Journal of Climate 8: 1261-1283. Sun, C. Y., C. M. U. Neale, and J. J. McDonnell. 1996. Snow Wetness Estimates of Vegetated Terrain from Satellite Passive Microwave Data. Hydrologic Processes 10: 1619-1628. Walker, A. E. and B. E. Goodison. 1993. Discrimination of Wet Snow Cover Using Passive Microwave Satellite Data. Annals of Glaciology 17: 307-311. For more information regarding related publications, see the Research Using AMSR-E Data Web page.
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date:
2004-03-01
Last DIF Revision Date:
2012-05-03
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