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Author (up) Beresford, A.E.; Donald, P.F.; Buchanan, G.M.
Title Repeatable and standardised monitoring of threats to Key Biodiversity Areas in Africa using Google Earth Engine Type Journal Article
Year 2020 Publication Ecological Indicators Abbreviated Journal Ecological Indicators
Volume 109 Issue Pages 105763
Keywords Remote Sensing
Abstract Key Biodiversity Areas (KBAs) are sites that make significant contributions to the global persistence of biodiversity, but identification of sites alone is not sufficient to ensure their conservation. Monitoring is essential if pressures on these sites are to be identified, priorities set and appropriate responses developed. Here, we describe how analysis of freely available data on a cloud-processing platform (Google Earth Engine) can be used to assess changes in three example remotely sensed threat indicators (fire frequency, tree loss and night-time lights) over time on KBAs in Africa. We develop easily repeatable methods with shared code that could be applied across any geographic area and could be adapted and applied to other datasets as they become available. Fire frequency was found to have increased significantly on 12.4% of KBAs and 15.9% of ecoregions, whilst rates of forest loss increased significantly on 24.3% of KBAs and 22.6% of ecoregions. There was also evidence of significant increases in night-time lights on over half (53.3%) of KBAs and 39.6% of ecoregions between 1992 and 2013, and on 11.6% of KBAs and 53.0% of ecoregions between 2014 and 2018.
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 1470160X ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2707
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Author (up) Bergs, R.
Title Exploring the Spatial Economy by Night Type Report
Year 2016 Publication n/a Abbreviated Journal n/a
Volume n/a Issue n/a Pages n/a
Keywords Economics; DMSP; DMSP-OLS; remote sensing; spatial distribution
Abstract Night satellite images may offer an interesting tool to generate socio-economically relevant data and to analyse the evolution of space, e.g. cities or rural areas, and how spatial units interact over time. This paper is just an essay with preliminary ideas for discussion; the approach is explorative-methodological rather than one putting an empirical focus on a defined research item. Empirics discussed in this paper are just various examples collected from tinkering.

The DMSP-OLS images and adequate image analysis software such as ImageJ (in some cases to be complemented by further statistics software) provide a useful perspective for the analysis of spatial change. Since there is a stable and significant correlation between social and economic variables (population density, GDP PPP) and luminosity, such image analyses contain important information on spatial economic development. Analysis of night imagery is certainly not adequate to replace the statistical analysis of regional data, but it is a good tool to confirm and illustrate patterns of spatial heterogeneity and spatial dependence over time.
Address PRAC – Bergs & Issa Partnership Co., Bad Soden, Germany
Corporate Author Thesis
Publisher n/a Place of Publication Editor
Language English Summary Language English Original Title
Series Editor Series Title Planung & Forschung Spolicy Research & Consultancy Discussion Paper Series Abbreviated Series Title
Series Volume Series Issue Edition
ISSN n/a ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 1392
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Author (up) Bergs, R.; Issa, M.
Title What do night satellite images and small-scale grid data tell us about functional changes in the rural-urban environment and the economy? Case studies Frankfurt-Rhein/Main and Ljubljana Urban Region Type Journal Article
Year 2018 Publication Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing
Abstract This study addresses how nocturnal satellite imagery can be used in spatial analysis of rural-urban relations. It shows how a novel approach can be used to complement the prevalent traditional survey methods below the data resolution level of official regional statistics. The overarching aim is to contribute with a novel database and different empirical tools to broaden spatial information for decision-making in policy and planning at small spatial scale amongst municipalities. The accuracy of spatial information is expected to be substantially enhanced, paving ways for better rural-urban planning coordination and synergies.
Address
Corporate Author PRAC - Bergs & Issa Partnership Co. , Im Hopfengarten 19b, D - 65812 Bad Soden, Germany Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2047
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Author (up) Bharti, N.; Tatem, A.J.
Title Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria Type Journal Article
Year 2018 Publication Scientific Data Abbreviated Journal Sci Data
Volume 5 Issue Pages 180256
Keywords Remote Sensing
Abstract Dynamic measures of human populations are critical for global health management but are often overlooked, largely because they are difficult to quantify. Measuring human population dynamics can be prohibitively expensive in under-resourced communities. Satellite imagery can provide measurements of human populations, past and present, to complement public health analyses and interventions. We used anthropogenic illumination from publicly accessible, serial satellite nighttime images as a quantifiable proxy for seasonal population variation in five urban areas in Niger and Nigeria. We identified population fluxes as the mechanistic driver of regional seasonal measles outbreaks. Our data showed 1) urban illumination fluctuated seasonally, 2) corresponding population fluctuations were sufficient to drive seasonal measles outbreaks, and 3) overlooking these fluctuations during vaccination activities resulted in below-target coverage levels, incapable of halting transmission of the virus. We designed immunization solutions capable of achieving above-target coverage of both resident and mobile populations. Here, we provide detailed data on brightness from 2000-2005 for 5 cities in Niger and Nigeria and detailed methodology for application to other populations.
Address WorldPop, Department of Geography and Environment, University of Southampton; Flowminder Foundation, Southampton, SO17 1BJ, UK
Corporate Author Thesis
Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2052-4463 ISBN Medium
Area Expedition Conference
Notes PMID:30422123; PMCID:PMC6233255 Approved no
Call Number GFZ @ kyba @ Serial 2769
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Author (up) Bharti, N.; Tatem, A.J.; Ferrari, M.J.; Grais, R.F.; Djibo, A.; Grenfell, B.T.
Title Explaining seasonal fluctuations of measles in Niger using nighttime lights imagery Type Journal Article
Year 2011 Publication Science (New York, N.Y.) Abbreviated Journal Science
Volume 334 Issue 6061 Pages 1424-1427
Keywords Remote Sensing; Human Health; Cities; Emigration and Immigration; Epidemics; *Epidemiologic Methods; Humans; Light; Measles/*epidemiology/transmission; Niger/epidemiology; *Population Density; Remote Sensing Technology; *Seasons; Spacecraft
Abstract Measles epidemics in West Africa cause a significant proportion of vaccine-preventable childhood mortality. Epidemics are strongly seasonal, but the drivers of these fluctuations are poorly understood, which limits the predictability of outbreaks and the dynamic response to immunization. We show that measles seasonality can be explained by spatiotemporal changes in population density, which we measure by quantifying anthropogenic light from satellite imagery. We find that measles transmission and population density are highly correlated for three cities in Niger. With dynamic epidemic models, we demonstrate that measures of population density are essential for predicting epidemic progression at the city level and improving intervention strategies. In addition to epidemiological applications, the ability to measure fine-scale changes in population density has implications for public health, crisis management, and economic development.
Address Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. nbharti@princeton.edu
Corporate Author Thesis
Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0036-8075 ISBN Medium
Area Expedition Conference
Notes PMID:22158822; PMCID:PMC3891598 Approved no
Call Number GFZ @ kyba @ Serial 2770
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