|   | 
Details
   web
Records
Author (up) Gillespie, T.W.; Willis, K.S.; Ostermann-Kelm, S.; Longcore, T.; Federico, F.; Lee, L.; MacDonald, G.M.
Title Inventorying and Monitoring Nighttime Light Distribution and Dynamics in the Mediterranean Coast Network of Southern California Type Journal Article
Year 2017 Publication Natural Areas Journal Abbreviated Journal Natural Areas Journal
Volume 37 Issue 3 Pages 350-360
Keywords Remote Sensing
Abstract Light pollution has been of increasing concern as it relates to protected areas. As such, natural resource managers need information on the distribution, intensity, and dynamics of nighttime lights in protected areas. We examine the extent of nighttime light brightness from 1992 to 2012 in the Mediterranean Coast Network (Santa Monica Mountains National Recreation Area, Channel Islands National Park, and Cabrillo National Monument) using the Defense Meteorological Satellite Program (DMSP) Operational Linescan System, which has provided global annual nighttime light imagery at 0.9 km pixel resolution. Nighttime lights appeared stable in Santa Monica Mountains National Recreation Area, decreased in Cabrillo National Monument, and are extremely low in Channel Islands National Park. However, the mean brightness values in Santa Monica Mountains National Recreation Area and Cabrillo National Monument were very high compared to all other National Parks. Indeed, both were comparable to the two National Parks in the USA with the highest mean brightness values (Cuyahoga Valley National Park, Hot Springs National Park). Monitoring night light extent, intensity, time series, and change detection using remote sensing should be a standard practice for all protected areas managed by the National Park Service due to the no-cost nature of the data and ease at which analyses can be undertaken. The DMSP data and calibrated products can be used to monitor long-term changes in light distribution and intensity while the higher-resolution Visible Infrared Imaging Radiometer Suite data can be used to show changes in light distribution and density throughout the year and can be used to test how policy or ordinance changes impact light pollution.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0885-8608 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @ Serial 1679
Permanent link to this record
 

 
Author (up) You, X.; Monahan, K.M.
Title A thirst for development: mapping water stress using night-time stable lights as predictors of province-level water stress in China Type Journal Article
Year 2017 Publication Area Abbreviated Journal Area
Volume 49 Issue 4 Pages 477-485
Keywords Remote Sensing
Abstract Given the rapid development within China, the inequality of available water resources has been increasingly of interest. Current methods for assessing water stress are inadequate for province‐scale rapid monitoring. A more responsive indicator at a finer scale is needed to understand the distribution of water stress in China. This paper selected Defense Meteorological Satellite Program Operational Line‐scan System night‐time stable lights as a proxy for water stress at the province level in China from 2004 to 2012, as night‐time lights are closely linked with population density, electricity consumption and other social, economic and environmental indicators associated with water stress. The linear regression results showed the intensity of night‐time lights can serve as a predictive tool to assess water stress across provinces with an R2 from 0.797 to 0.854. The model worked especially well in some regions, such as East China, North China and South West China. Nonetheless, confounding factors interfered with the predictive relationship, including population density, level of economic development, natural resource endowment and industrial structures, etc. The model was not greatly improved by building a multi‐variable linear regression including agricultural and industrial indicators. A straightforward predictor of water stress using remotely sensed data was developed.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0004-0894 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2030
Permanent link to this record