[Personnel: Last_Name='EROS DATA CENTER']
Phenology Study of the Conterminous United StatesEntry ID: USGS_EROS_Phenological
Abstract: The use of satellite imagery provides a unique vantage point for observing seasonal dynamics of the landscape. The U.S. Geological Survey's EROS Data Center has developed a data set of seasonal metrics derived from multitemporal Advanced Very High Resolution Radiometer (AVHRR) Normalized Difference Vegetation Index (NDVI) observations for the conterminous United States. NDVI values are first ... composited over a 2-week time period to reduce cloud contamination, atmospheric perturbations, and variable illumination and viewing geometry. The data are then smoothed to facilitate time-series analyses (Swets and others, 1999) and derivation of the seasonal metrics (Reed et. al., 1994). A set of 12 seasonal metrics (e.g., total integrated NDVI, start of season, end of season) are then derived from the smoothed NDVI values. The data are free and currently include the following (for years 1989 to current):
Bi-weekly smoothed NDVI
Total Integrated NDVI
Start of Season Date
End of Season Date
Start of Season NDVI
[Summary provided by the USGS.]
Data Set Citation
Dataset Originator/Creator: U.S. Geological Survey
Dataset Title: Phenology Study of the Conterminous United States
Dataset Publisher: U.S. Geological SurveyOnline Resource: http://edc2.usgs.gov/phenological/
BIOSPHERE > VEGETATION > FOREST COMPOSITION/VEGETATION STRUCTURE
BIOSPHERE > VEGETATION > VEGETATION COVER
BIOSPHERE > VEGETATION > VEGETATION INDEX > NDVI
BIOSPHERE > VEGETATION > PLANT PHENOLOGY
BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > PHOTOSYNTHESIS
BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > PRIMARY PRODUCTION > NET PRIMARY PRODUCTION
ISO Topic Category
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be aware that temporal changes may have occurred since the data was collected and that some parts of these data may no longer represent actual surface conditions.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
Distribution Media: Online
Fees: No fees
Role: DIF AUTHOR
Phone: (301) 614-6898
Email: Tyler.B.Stevens at nasa.gov
NASA Goddard Space Flight Center Global Change Master Directory
Province or State: MD
Postal Code: 20771
Role: TECHNICAL CONTACT
Email: reed at usgs.gov
EROS Data Center
City: Sioux Falls
Province or State: SD
Postal Code: 57198
Reed, B.C., and E. Bartels, 1999. Phenological Characterization (abs.) in Proceedings of Pecora 14 Conference, Denver, Colorado, December 1999.
Schwartz, M.D. and B.C. Reed, 1999. Surface phenology and satellite sensor-derived onset of greenness: an initial comparison. International Journal of Remote Sensing, Vol. 20, No. 17, pp. 3451-3457.
Swets, D.L., B.C. Reed, J.R. Rowland, S.E. Marko, 1999. A weighted least-squares approach to temporal smoothing of NDVI. In 1999 ASPRS Annual Conference, From Image to Information, Portland, Oregon, May 17-21, 1999, Proceedings: Bethesda, Maryland, American Society for Photogrammetry and Remote Sensing, CD-ROM, 1 disc.
Reed, B.C., 1998. Derivation of phenological metrics. Proceedings of the Northern Great Plains Regional Workshop on Climate Change and Climate Variability. pp. 47-56.
Yang, L., B.K. Wylie, L.L. Tieszen, B.C. Reed, 1998. An analysis of relationships among climate forcing and time-integrated NDVI of grasslands over the U.S. Northern and Central Great Plains. Remote Sensing of Environment, 65: 25-37.
Reed, B.C., 1997. Applications of the U.S. Geological Survey's global land cover product. Acta Astronautica, Vol. 41, Nos. 4-10, pp. 671-680.
Reed, B.C. and K. Sayler, 1997. A method for deriving phenological metrics from satellite data, Colorado 1991-1995. Impact of Climate Change and Land Use in the Southwestern United States, an electronic workshop. ( http://geochange.er.usgs.gov/sw/impacts/biology/Phenological-CO/)
Reed, B.C. and Yang, L. 1997. Seasonal Vegetation Characteristics of the United States. Geocarto International 12(2): 65-71.
Tieszen, L.L, B.C. Reed, N.B. Bliss, B.K. Wylie, and D.D DeJong 1997. NDVI Characteristics, potential C3 and C4 grass production and d13C values in grassland land cover classes of the Great Plains. Ecological Applications. 7(1)m 1997, pp. 59-78.
Outland, J.C., L.L. Tieszen, D.D. DeJong, and B.C. Reed, 1997. A functional analysis of ecosystem performance in selected Kuchler types of the Northern Great Plains - NDVI and metrics of land cover classes [abs], in Pecora Thirteen, Human interactions with the Environment - Perspectives from Space, Sioux Falls, South Dakota, August 20-22, 1996, Proceedings: Bethesda, Maryland, American Society of Photogrammetry and Remote Sensing.
Reed, B.C., T.R. Loveland, and L.L. Tieszen, 1996. An approach for using AVHRR data to monitor U.S. Great Plains grasslands: Geocarto International, v. 11, no. 3, p. 13-22.
Reed, B.C., J.F. Brown, D. VanderZee, T.L. Loveland, J.W. Merchant, D.O. Ohlen, 1994. "Measuring phenological variability from satellite imagery," Journal of Vegetation Science 5: 703-714.
Creation and Review Dates
DIF Creation Date: 2007-05-08
Last DIF Revision Date: 2008-05-27