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Phenology Study of the Conterminous United States

Entry ID: USGS_EROS_Phenological

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Summary

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 ...

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Description: Smoothed NDVI Composite Data.

Multimedia Sample

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Caption: NDVI Composite Map

Geographic Coverage

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Spatial coordinates

N: 51.0

S: 25.0

E: -68.0

W: -128.0

Data Set Citation

Dataset Originator/Creator: U.S. Geological Survey

Dataset Title: Phenology Study of the Conterminous United States

Dataset Publisher: U.S. Geological Survey

Online Resource: http://edc2.usgs.gov/phenological/

Location Keywords

CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA

Science Keywords

BIOSPHERE > VEGETATION > FOREST COMPOSITION/VEGETATION STRUCTURE

BIOSPHERE > VEGETATION > VEGETATION COVER

ISO Topic Category

BIOTA

Instrument

AVHRR > Advanced Very High Resolution Radiometer

Project

ESIP > Earth Science Information Partners Program

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be aware that temporal changes may have occurred since the data was collected and that some parts of these data may no longer represent actual surface conditions.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.

Ancillary Keywords

Phenology

Biology

Data Set Progress

COMPLETE

Originating Center

USGS

Data Center

Earth Resources Observation and Science Center, U.S. Geological Survey, U.S. Department of the Interior

Data Center URL: http://eros.usgs.gov/

Data Center Personnel
Name: EROS CENTER Phone: 605-594-6151 Phone: 800-252-4547 Fax: 605-594-6589 Email: lta at usgs.gov Contact Address: LTA Customer Services U.S. Geological Survey EROS Center 47914 252nd Street City: Sioux Falls Province or State: SD Postal Code: 57198-0001 Country: USA

Distribution

Distribution Media: Online

Fees: No fees

Personnel

TYLER B. STEVENS

Role: DIF AUTHOR

Phone: (301) 614-6898

Fax: 301-614-5268

Email: Tyler.B.Stevens at nasa.gov

Contact Address:

NASA Goddard Space Flight Center

Global Change Master Directory

City: Greenbelt

Province or State: MD

Postal Code: 20771

Country: USA

BRADLEY REED

Role: TECHNICAL CONTACT

Phone: 605-594-6012

Fax: 605-594-6529

Email: reed at usgs.gov

Contact Address:

EROS Data Center

City: Sioux Falls

Province or State: SD

Postal Code: 57198

Country: USA

Publications/References

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

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