P
Paul M. Rich
Researcher at Los Alamos National Laboratory
Publications - 28
Citations - 4988
Paul M. Rich is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Geographic information system & Normalized Difference Vegetation Index. The author has an hindex of 17, co-authored 27 publications receiving 4567 citations. Previous affiliations of Paul M. Rich include University of Kansas.
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Journal ArticleDOI
Regional vegetation die-off in response to global-change-type drought
David D. Breshears,Neil S. Cobb,Paul M. Rich,Kevin P. Price,Craig D. Allen,Randy G. Balice,William H. Romme,Jude H. Kastens,M. Lisa Floyd,Jayne Belnap,Jayne Belnap,Jesse J. Anderson,Orrin Myers,Clifton W. Meyer +13 more
TL;DR: The results quantify a trigger leading to rapid, drought-induced die-off of overstory woody plants at subcontinental scale and highlight the potential for such die-offs to be more severe and extensive for future global-change-type drought under warmer conditions.
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Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA
TL;DR: In this paper, the authors examined temporal responses of remotely sensed NDVI to precipitation and temperature during a nine-year period (1989-97) in Kansas and found that average growing season NDVI values were highly correlated with precipitation received during the current growing season.
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A geometric solar radiation model with applications in agriculture and forestry
Pinde Fu,Paul M. Rich +1 more
TL;DR: In this paper, the authors focus on the application of this model for spatial interpolation of soil temperature measurements over complex topography at landscape scales and generate daily minimum and maximum soil temperature maps based on regression analyses.
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Spatial patterns of NDVI in response to precipitation and temperature in the central Great Plains
TL;DR: In this article, the authors examined spatial responses of NDVI to precipitation and temperature during a 9-year period (1989-1997) in Kansas and found that precipitation is a strong predictor of regional spatial patterns of NDV and, by inference, patterns of productivity.
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Topographic solar radiation models for GIS
Ralph Dubayah,Paul M. Rich +1 more
TL;DR: An overview of the effects of topography and plant canopies on solar radiation is presented along with a discussion of various options for obtaining the data necessary to drive specific solar radiation models.