Zobrazeno 1 - 10
of 228
pro vyhledávání: '"E. Baugh"'
Autor:
Tilottama Ghosh, Kimberly E. Baugh, Christopher D. Elvidge, Mikhail Zhizhin, Alexey Poyda, Feng-Chi Hsu
Publikováno v:
Remote Sensing, Vol 13, Iss 24, p 5004 (2021)
Data collected by the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) sensors have been archived and processed by the Earth Observation Group (EOG) at the National Oceanic and Atmospheric Administration (NOAA) to m
Externí odkaz:
https://doaj.org/article/680afeb46d364c8cbcdd2f3dc2766e86
Publikováno v:
Remote Sensing, Vol 7, Iss 2, Pp 1855-1876 (2015)
The Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS) stable lights products are made using operational OLS data collected at high gain settings, resulting in sensor saturation on brightly lit areas, such as city centers
Externí odkaz:
https://doaj.org/article/f13120557f074552acd32239059e33df
Akademický článek
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Publikováno v:
Remote Sensing, Vol 5, Iss 9, Pp 4423-4449 (2013)
The Nightfire algorithm detects and characterizes sub-pixel hot sources using multispectral data collected globally, each night, by the Suomi National Polar Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS). The spectral bands utili
Externí odkaz:
https://doaj.org/article/49d891d520d24e4599527473978ad634
Autor:
Joshua D Eikenberg, Jyoti Savla, Elaina L Marinik, Kevin P Davy, John Pownall, Mary E Baugh, Kyle D Flack, Soheir Boshra, Richard A Winett, Brenda M Davy
Publikováno v:
PLoS ONE, Vol 11, Iss 2, p e0148009 (2016)
To determine if prediabetes phenotype influences improvements in glucose homeostasis with resistance training (RT).Older, overweight individuals with prediabetes (n = 159; aged 60±5 yrs; BMI 33±4 kg/m2) completed a supervised RT program twice per w
Externí odkaz:
https://doaj.org/article/54367f7cc79c4bb6832bc6aae3771e36
Publikováno v:
Current Opinion in Behavioral Sciences. 48:101227
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60dc0f9cb0d77b068e1d77e138ff81ea
https://doi.org/10.1016/j.cobeha.2022.101227
https://doi.org/10.1016/j.cobeha.2022.101227
Autor:
Benjamin T. Tuttle, Daniel Ziskin, Kimberly E. Baugh, Paul C. Sutton, Tilottama Ghosh, Christopher D. Elvidge
Publikováno v:
Energies, Vol 3, Iss 12, Pp 1895-1913 (2010)
The potential use of satellite observed nighttime lights for estimating carbon-dioxide (CO2) emissions has been demonstrated in several previous studies. However, the procedures for a moderate resolution (1 km2 grid cells) global map of fossil fuel C
Externí odkaz:
https://doaj.org/article/6cf7a3dcb93b49cc995920e303bc5fc5
Publikováno v:
Sensors, Vol 10, Iss 4, Pp 3961-3988 (2010)
We investigated the optimal spectral bands for the identification of lighting types and the estimation of four major indices used to measure the efficiency or character of lighting. To accomplish these objectives we collected high-resolution emission
Externí odkaz:
https://doaj.org/article/f219b98a3c2f4169a56bb0db2b4a435f
Autor:
Mikhail Zhizhin, Dee W. Pack, Edward H. Erwin, Benjamin T. Tuttle, Tilottama Ghosh, Kimberly E. Baugh, Daniel Ziskin, Christopher D. Elvidge
Publikováno v:
Energies, Vol 2, Iss 3, Pp 595-622 (2009)
We have produced annual estimates of national and global gas flaring and gas flaring efficiency from 1994 through 2008 using low light imaging data acquired by the Defense Meteorological Satellite Program (DMSP). Gas flaring is a widely used practice
Externí odkaz:
https://doaj.org/article/9379b888c6a14c5f9000091796ee8cd3
Autor:
Ramakrishna Nemani, Budhendra Bhaduri, Cristina Milesi, Ara T. Howard, Kimberly E. Baugh, Paul C. Sutton, Benjamin T. Tuttle, Christopher D. Elvidge
Publikováno v:
Sensors, Vol 7, Iss 9, Pp 1962-1979 (2007)
We present the first global inventory of the spatial distribution and density ofconstructed impervious surface area (ISA). Examples of ISA include roads, parking lots,buildings, driveways, sidewalks and other manmade surfaces. While high spatialresol
Externí odkaz:
https://doaj.org/article/beb7492623914b8f8f32937c28c1479f