A Study of the Breakup Characteristics of the Chena River Basin Using ERTS Imagery: Completion Report

ERTS Project 110-5 Snowmelt and rainfall floodinq is a major water resource problem in Alaska. At the present time, forecastinq of these floods is based on a sparse hydrological and climatological network. Numerous basins with drainage areas of 5,000 km2 and less remain completely ungaged. The lack...

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Main Authors: Carlson, Robert F., Wendler, Gerd
Format: Report
Language:unknown
Published: University of Alaska, Institute of Water Resources 1974
Subjects:
Online Access:http://hdl.handle.net/11122/1807
id ftunivalaska:oai:scholarworks.alaska.edu:11122/1807
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spelling ftunivalaska:oai:scholarworks.alaska.edu:11122/1807 2023-05-15T15:10:51+02:00 A Study of the Breakup Characteristics of the Chena River Basin Using ERTS Imagery: Completion Report Carlson, Robert F. Wendler, Gerd 1974-06 http://hdl.handle.net/11122/1807 unknown University of Alaska, Institute of Water Resources IWR;no. 60 http://hdl.handle.net/11122/1807 Technical Report 1974 ftunivalaska 2023-02-23T21:35:45Z ERTS Project 110-5 Snowmelt and rainfall floodinq is a major water resource problem in Alaska. At the present time, forecastinq of these floods is based on a sparse hydrological and climatological network. Numerous basins with drainage areas of 5,000 km2 and less remain completely ungaged. The lack of data causes uncertainty in the design of transportation schemes such as tile Trans-Alaska oil pipeline. This project studied the utility of using ERTS-l imagery as a source of additional data for the prediction of snowmelt runoff, the most dynamic hydroloqic event in arctic and subarctic basins. Snow distribution as determined from the satellite imagery was compared with values determined from the conventional snow course stations and with the results of a snowmelt energy model. The Chena River Basin was selected because of the availability of ground truth data for comparison. Very good agreement for snow distribution and rates of ablation was found between the ERTS-l imagery, the snowmelt model, and field measurements. Monitoring snowmelt rates for relatively small basins appears to be practical. The main limitation of the ERTS-l imagery is the interval of coverage. More frequent overflights providing coverage are needed for the study of transient hydrologic events. ERTS-l data is most useful when used in conjunction with snowmelt prediction models and existing snow course data. These results should prove very useful in preliminary assessment of hydrologic conditions in ungaged watersheds and will provide a tool for month-to-month volume forecasting. This work was supported by National Aeronautics and Space Administration, Grant NAS 5-21833. Report Arctic Subarctic Alaska University of Alaska: ScholarWorks@UA Arctic
institution Open Polar
collection University of Alaska: ScholarWorks@UA
op_collection_id ftunivalaska
language unknown
description ERTS Project 110-5 Snowmelt and rainfall floodinq is a major water resource problem in Alaska. At the present time, forecastinq of these floods is based on a sparse hydrological and climatological network. Numerous basins with drainage areas of 5,000 km2 and less remain completely ungaged. The lack of data causes uncertainty in the design of transportation schemes such as tile Trans-Alaska oil pipeline. This project studied the utility of using ERTS-l imagery as a source of additional data for the prediction of snowmelt runoff, the most dynamic hydroloqic event in arctic and subarctic basins. Snow distribution as determined from the satellite imagery was compared with values determined from the conventional snow course stations and with the results of a snowmelt energy model. The Chena River Basin was selected because of the availability of ground truth data for comparison. Very good agreement for snow distribution and rates of ablation was found between the ERTS-l imagery, the snowmelt model, and field measurements. Monitoring snowmelt rates for relatively small basins appears to be practical. The main limitation of the ERTS-l imagery is the interval of coverage. More frequent overflights providing coverage are needed for the study of transient hydrologic events. ERTS-l data is most useful when used in conjunction with snowmelt prediction models and existing snow course data. These results should prove very useful in preliminary assessment of hydrologic conditions in ungaged watersheds and will provide a tool for month-to-month volume forecasting. This work was supported by National Aeronautics and Space Administration, Grant NAS 5-21833.
format Report
author Carlson, Robert F.
Wendler, Gerd
spellingShingle Carlson, Robert F.
Wendler, Gerd
A Study of the Breakup Characteristics of the Chena River Basin Using ERTS Imagery: Completion Report
author_facet Carlson, Robert F.
Wendler, Gerd
author_sort Carlson, Robert F.
title A Study of the Breakup Characteristics of the Chena River Basin Using ERTS Imagery: Completion Report
title_short A Study of the Breakup Characteristics of the Chena River Basin Using ERTS Imagery: Completion Report
title_full A Study of the Breakup Characteristics of the Chena River Basin Using ERTS Imagery: Completion Report
title_fullStr A Study of the Breakup Characteristics of the Chena River Basin Using ERTS Imagery: Completion Report
title_full_unstemmed A Study of the Breakup Characteristics of the Chena River Basin Using ERTS Imagery: Completion Report
title_sort study of the breakup characteristics of the chena river basin using erts imagery: completion report
publisher University of Alaska, Institute of Water Resources
publishDate 1974
url http://hdl.handle.net/11122/1807
geographic Arctic
geographic_facet Arctic
genre Arctic
Subarctic
Alaska
genre_facet Arctic
Subarctic
Alaska
op_relation IWR;no. 60
http://hdl.handle.net/11122/1807
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