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Featured researches published by Steven W. Running.


Ecosystems | 2002

Satellite Evidence of Phenological Differences Between Urbanized and Rural Areas of the Eastern United States Deciduous Broadleaf Forest

Michael A. White; Ramakrishna R. Nemani; Peter E. Thornton; Steven W. Running

We used a 10-year record (1990–99) of composited and cloud-screened reflectances from the Advanced Very High Resolution Radiometer (AVHRR) to test for phenological differences between urban and rural areas in the eastern United States deciduous broadleaf forest (DBF). We hypothesized that well-documented urban heat island effects would be associated with alterations in temperature-sensitive vegetation phenology. Our objectives were thus (a) to investigate possible differences in the start of the growing season (SOS) and end of the growing season (EOS) between the urban and DBF land covers, (b) to investigate related differences in greenness amplitude and fractional cover, and (c) to develop a generalized additive model (GAM) to predict the spatial variation of observed differences. By analyzing individual 1° latitude by 1° longitude blocks, we found that, on average, urbanization is associated with a growing season expansion of 7.6 days. Most of this effect is caused by an earlier SOS in urban areas. In all cases, urban regions had lower fractional cover and greenness amplitude. The GAM model failed to produce a viable model for differences in EOS, probably because it is dominated by photoperiod controls with only a minor temperature impact. SOS differences were predicted with an accuracy of about 2.4 days, with a GAM consisting of smoothed functions of mean annual average temperature, urban fractional cover, and the urban vs DBF greenness amplitude difference. We speculate that evidence of a phenological response to warming indicates that global warming, without reduction in DBF vegetation cover and greenness amplitude, may increase carbon sequestration in mesic deciduous forests.


Archive | 2003

User's Guide GPP and NPP (MOD17A2/A3) Products NASA MODIS Land Algorithm

Faith Ann Heinsch; Matthew Clark Reeves; Petr Votava; Sinkyu Kang; Cristina Milesi; Maosheng Zhao; Joseph M. Glassy; William M. Jolly; Rachel Andrea Loehman; Chad F. Bowker; John S. Kimball; Ramakrishna R. Nemani; Steven W. Running


In: Ramachandran, Bhaskar; Justice, Christopher O.; Abrams, Michael J., eds. Land Remote Sensing and Global Environmental Change: NASA's Earth Observing System and the Science of ASTER and MODIS. Remote Sensing and Digital Image Processing, vol. 11. Springer: 635-660. | 2011

MODIS-derived terrestrial primary production [chapter 28]

Maosheng Zhao; Steven W. Running; Faith Ann Heinsch; Ramakrishna R. Nemani


Archive | 2006

Preliminary Results from the CCSM Carbon-Land Model Intercomparison Project (C- LAMP)

Forrest M. Hoffman; Inez Y. Fung; James T. Randerson; Peter Edmond Thornton; Reto Stöckli; Faith Ann Heinsch; Steven W. Running; Kathy Hibbard; Jason St. John; Curtis Covey; James E. Foley; Wilfried M. Post; William W. Hargrove; David J. Erickson; Natalie M. Mahowald


Archive | 2003

VPD Estimation from Land Surface Temperature (MOD11) for global map of evapotranspiration and NPP.

Hiroshi Hashimoto; Ramakrishna R. Nemani; Fengjuan Yang; Robert A. Granger; Steven W. Running


Archive | 2006

Variations of Global Terrestrial Primary Production Observed by Moderate Resolution Imaging Spectroradiometer (MODIS) From 2000 to 2005

M. G. Zhao; Steven W. Running; Faith Ann Heinsch


Archive | 2005

Pan-Arctic Freeze/Thaw Algorithm Development Using AMSR-E Data and Satellite Remote Sensing Technique

M. L. Nirala; John S. Kimball; Steven W. Running; Kyle C. McDonald; Walter C. Oechel; Eni G. Njoku


Archive | 2005

Satellite Remote Sensing of Pan-arctic Vegetation Productivity, Soil Respiration and net CO2 Exchange Using MODIS and AMSR-E Data

M. L. Nirala; Faith Ann Heinsch; John S. Kimball; M. G. Zhao; Steven W. Running; Walter C. Oechel; Kyle C. McDonald; Eni G. Njoku


Archive | 2004

Sensitivity Of MODIS Global Terrestrial Primary Production To The Accuracy Of Meteorological Data Sets

M. G. Zhao; Ramakrishna R. Nemani; Steven W. Running


Archive | 1989

Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data. [Normalized Difference Vegetation Index]

Ramakrishna R. Nemani; Steven W. Running

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Kyle C. McDonald

City University of New York

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Eni G. Njoku

California Institute of Technology

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Christopher D. Elvidge

National Oceanic and Atmospheric Administration

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Lawrence E. Band

University of North Carolina at Chapel Hill

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