Title:Pond Area Estimates: Nine Study Regions in Alaska for 3 time periods (1950s, 1978-1982, 1999-2001) using remotely sensed images
Creator(s):Riordan, Brian (M.S. Student)
Verbyla, Dave L. (Senior Investigator)
Associated Personnel:McGuire, A. David (Graduate Student Advisor)
Verbyla, Dave L. (Graduate Student Advisor)
Abstract:The data are ArcGIS shapefiles by USGS quadrangle within 9 study regions: Arctic Coastal Plain, Stevens Village area, Yukon Flats, Minto Flats, Denali Flats, Talkeetna, Innoko Flats, Tetlin Flats, and Copper River Basin. Each shapefile polygon represents the shoreline of a pond as visually interpreted from each georectified remotely sensed image. All images were rectified based on at least 25 control points from 1:63 360 USGS digital raster graphics topographic maps using a second-order polynomial with a RMS error of less than one satellite image pixel (30 meters). All closed-basin ponds greater than 0.2 hectares were visually delineated and manually traced as polygons using ArcGIS. Each pond polygon has an ID and Hectares field representing the pond ID and area in hectares for the time period of the remotely sensed image.
Methods:The data were downloaded for the North America continent and then subset to the Alaska region. Maximum NDVI values for each year from 1May through 30 September were determined for each pixel using ArcGIS 9.2 Cell Statistics tool. The maximum annual NDVI values were then reprojected from the North American Albers projection to the the Alaska Albers NAD83 projection using nearest neighbor resampling with ArcGIS 9.2 project tool. Each NDVI values is scaled as Integer(NDVI*10000), thus a original NDVI floating point value of 0.5 is 5000 in the dataset. NDVI values can range from 0 to 10,000 in the dataset.
Experimental Design:
1950s for each study region using 1:40,000 scale panchromatic aerial photography acquired from USGS in Anchorage Alaska and then scanned at 600 dpi scanning density. Arctic Coastal Plain Region: 3Aug1999 Landsat ETM+, Tetlin flats Region: 4Aug1999 Landsat ETM+, Denali Flats, Yukon Flats, Stevens Village, Minto Flats, and Talkeetna Regions: 16Aug2000 Landsat ETM+, Innoko Flats Region: 18Aug2001, Copper River Basin: 7Aug2001
Keywords:primary production, remote sensing
Categories:GIS, Hydrology
Study Period:1950-01-01 to 2001-08-18
Bounding Box:
West Longitude: -180°
North Latitude: 75°
East Longitude: -120°
South Latitude: 50°
Datum: NAD83
Site References:

Alaska: This is the state of Alaska and adjoining provinces. Primarly used in large scale projects involving cultural regions, modeling, or GIS/Remote Sensing projects.

Data Columns:
Data File(s): (59.99M)
Image File(s): There are no image files available with this data package.
Supplemental File(s): There are no supplemental files available with this data package.
Metadata Formats: Full Metadata (HTML format)
EML (Ecological Metadata Language - XML format)
Public Release:2008-12-10
Network Data ID:knb-lter-bnz.346.17

Riordan, B., Verbyla,D.L., and McGuire, A.D. 2006. Shrinking ponds in subarctic Alaska based on 1950-2002 remotely sensed images. Journal of Geophysical Research-Biogeosciences. 111:G04002

Verbyla, D. 2008. The greening and browning of Alaska based on 1982-2003 satellite data. Global Ecology and Biogeography 17:547-555. DOI: 10.1111/j.1466-8238.2008.00396.x

Data Citation:Riordan, Brian; Verbyla, Dave L. 2008. Pond Area Estimates: Nine Study Regions in Alaska for 3 time periods (1950s, 1978-1982, 1999-2001) using remotely sensed images, Bonanza Creek LTER - University of Alaska Fairbanks. BNZ:346,
Data Acknowledgement:Data are provided by the Bonanza Creek LTER, a partnership between the University of Alaska Fairbanks, and the U.S. Forest Service. Significant funding for collection of these data was provided by the National Science Foundation Long-Term Ecological Research program (NSF Grant numbers DEB-1026415, DEB-0620579, DEB-0423442, DEB-0080609, DEB-9810217, DEB-9211769, DEB-8702629) and by the USDA Forest Service, Pacific Northwest Research Station (Agreement # RJVA-PNW-01-JV-11261952-231).
UAF is an affirmative action/equal opportunity employer and educational institution.