Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Jeffrey L. Privette"'
Autor:
Ge Peng, Jeffrey L. Privette, Curt Tilmes, Sky Bristol, Tom Maycock, John J. Bates, Scott Hausman, Otis Brown, Edward J. Kearns
Publikováno v:
Data Science Journal, Vol 17 (2018)
Scientific data stewardship is an important part of long-term preservation and the use/reuse of digital research data. It is critical for ensuring trustworthiness of data, products, and services, which is important for decision-making. Recent U.S. fe
Externí odkaz:
https://doaj.org/article/89c5fedf19314e7f92e4ac0321cebb9d
Publikováno v:
Data Science Journal, Vol 13, Pp 231-253 (2015)
This paper presents a stewardship maturity assessment model in the form of a matrix for digital environmental datasets. Nine key components are identified based on requirements imposed on digital environmental data and information that are cared for
Externí odkaz:
https://doaj.org/article/ccd41d6d1f8849a592c63a889865bfee
Publikováno v:
Bulletin of the American Meteorological Society. 97:1573-1581
The key objective of the NOAA Climate Data Record (CDR) program is the sustained production of high-quality, multidecadal time series data describing the global atmosphere, oceans, and land surface that can be used for informed decision-making. The c
Autor:
Curt Tilmes, Ge Peng, Edward J. Kearns, Tom Maycock, John J. Bates, R. Sky Bristol, Scott Hausman, Otis B. Brown, Jeffrey L. Privette
Publikováno v:
Data Science Journal; Vol 17 (2018); 15
Data science journal
Data Science Journal, Vol 17 (2018)
Data science journal
Data Science Journal, Vol 17 (2018)
Scientific data stewardship is an important part of long-term preservation and the use/reuse of digital research data. It is critical for ensuring trustworthiness of data, products, and services, which is important for decision-making. Recent U.S. fe
Autor:
Robert Radocinski, Pierre C. Guillevic, J. Biard, Frank-M. Göttsche, Jeffrey L. Privette, Ivan Csiszar, Yunyue Yu, Albert Olioso, Glynn Hulley, Simon J. Hook, Miguel O. Román
Publikováno v:
Remote Sensing of Environment
Remote Sensing of Environment, Elsevier, 2014, 154, pp.19-37. ⟨10.1016/j.rse.2014.08.013⟩
Remote Sensing of Environment, Elsevier, 2014, 154, pp.19-37. ⟨10.1016/j.rse.2014.08.013⟩
Thermal infrared satellite observations of the Earth's surface are widely used to retrieve Land Surface Temperature (LST) and monitor LST changes around the world. Since January 2012, the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the
Autor:
Frank-M. Göttsche, Glynn Hulley, Jean-Philippe Gastellu-Etchegorry, Pierre C. Guillevic, Annika Bork-Unkelbach, Jeffrey L. Privette, Folke Olesen
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 10:1464-1468
Thermal infrared satellite observations of the Earth's surface are key components in estimating the surface skin temperature over global land areas. However, depending on sun illumination and viewing directional configurations, satellites measure dif
Autor:
Steve Ansari, Drew Saunders, Nancy A. Ritchey, Edward J. Kearns, Tom Maycock, Philip Jones, Ge Peng, Kenneth S. Casey, Jeffrey L. Privette
Publikováno v:
D-Lib Magazine.
Ensuring and improving quality and usability is an important part of scientific stewardship of digital environmental data products, but the roles of the responsible parties — those who manage quality and usability — have been evolving over time a
Autor:
Konstantin Y. Vinnikov, Jeffrey L. Privette, Dan Tarpley, Yuhong Tian, Lawrence E. Flynn, Hui Xu, Yunyue Yu, Ming Chen, Donglian Sun
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 50:704-713
Validation of satellite land surface temperature (LST) is a challenge because of spectral, spatial, and temporal variabilities of land surface emissivity. Highly accurate in situ LST measurements are required for validating satellite LST products but
Autor:
Eric Vermote, Suresh K. SanthanaVannan, Robert B. Cook, Jeffrey L. Privette, Alexei Lyapustin, Crystal L. Schaaf, Yujie Wang
Publikováno v:
Remote Sensing of Environment. 114:2791-2801
Using MODIS data and the AERONET-based Surface Reflectance Validation Network (ASRVN), this work studies errors of MODIS atmospheric correction caused by the Lambertian approximation. On one hand, this approximation greatly simplifies the radiative t
Autor:
Peter S. Curtis, Andrew D. Richardson, Thomas Kolb, Danilo Dragoni, Miguel O. Román, Jeffrey L. Privette, Tim Wilson, Lianhong Gu, Kenneth J. Davis, Crystal B. Schaaf, Rob Braswell, Tilden P. Meyers, Curtis E. Woodcock, Xiaoyuan Yang, Alan H. Strahler, David Y. Hollinger, Steven C. Wofsy, Michael L. Goulden, J. William Munger
Publikováno v:
Remote Sensing of Environment. 113:2476-2498
A new methodology for establishing the spatial representativeness of tower albedo measurements that are routinely used in validation of satellite retrievals from global land surface albedo and reflectance anisotropy products is presented. This method