Records |
Author  |
Cardiel, N. |
Title |
Star Formation in Central Cluster Galaxies |
Type |
Journal Article |
Year |
1999 |
Publication |
Universidad Complutense de Madrid, Spain |
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Remote Sensing |
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LoNNe @ kagoburian @ |
Serial |
910 |
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Author  |
Cardiel, N.; Gorgas, J.; Gallego J.; Serrano, A.; Zamorano, J.; Garcia-Vargas, M.-L.; Gomez-Cambronero, P.; Filgueira, J.M. |
Title |
Proper handling of random errors and distortions in astronomical data analysis. |
Type |
Report |
Year |
2002 |
Publication |
Astronomical Telescopes and Instrumentation |
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Pages |
297â304 |
Keywords |
Remote Sensing |
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LoNNe @ kagoburian @ |
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911 |
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Author  |
Ceola, S.; Laio, F.; Montanari, A. |
Title |
Satellite nighttime lights reveal increasing human exposure to floods worldwide |
Type |
Journal Article |
Year |
2014 |
Publication |
Geophysical Research Letters |
Abbreviated Journal |
Geophys. Res. Lett. |
Volume |
41 |
Issue |
20 |
Pages |
7184-7190 |
Keywords |
remote sensing |
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0094-8276 |
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LoNNe @ christopher.kyba @ |
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1068 |
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Author  |
Ceola, S.; Montanari, A.; Parajka, J.; Viglione, A.; Blöschl, G.; Laio, F. |
Title |
Human signatures derived from nighttime lights along the Eastern Alpine river network in Austria and Italy |
Type |
Conference Article |
Year |
2016 |
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Keywords |
Remote Sensing; Society; nightlights; human presence; river network; Strahler order; DMSP-OLS; OLS; DMSP-OLS; Austria; Italy; Eastern Alpine |
Abstract |
Understanding how human settlements and economic activities are distributed with reference to the geographical location of streams and rivers is of fundamental relevance for several issues, such as flood risk management, drought management related to increased water demands by human population, fluvial ecosystem services, water pollution and water exploitation. Besides the spatial distribution, the evolution in time of the human presence constitutes an additional key question. This work aims at understanding and analysing the spatial and temporal evolution of human settlements and associated economic activity, derived from nighttime lights, in the Eastern Alpine region. Nightlights, available at a fine spatial resolution and for a 22-year period, constitute an
excellent data base, which allows one to explore in details human signatures. In this experiment, nightlights are associated to five distinct distance-from-river classes. Our results clearly point out an overall enhancement of human presence across the considered distance classes during the last 22 years, though presenting some differences among the study regions. In particular, the river network delineation, by considering different groups of river pixels based on the Strahler order, is found to play a central role in the identification of nightlight spatio-temporal trends. |
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Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali, Università di Bologna, Bologna, Italy |
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International Association of Hydrological Sciences |
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English |
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English |
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7th International Water Resources Management Conference of ICWRS, 18â20 May 2016, Bochum, Germany |
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IDA @ john @ |
Serial |
1432 |
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Author  |
Chai, B.; Seto, K.C. |
Title |
Conceptualizing and characterizing micro-urbanization: A new perspective applied to Africa |
Type |
Journal Article |
Year |
2019 |
Publication |
Landscape and Urban Planning |
Abbreviated Journal |
Landscape and Urban Planning |
Volume |
190 |
Issue |
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Pages |
103595 |
Keywords |
Remote Sensing |
Abstract |
Sustainable Development Goals (SDG) require sustainable urban development and management for better human life quality. Small urban settlements—those with fewer than 500,000 people—are home to 26.5% of the world’s population. Yet, relatively little research attention has been paid to understanding the structure and dynamics of these smaller cities. In this paper, we propose a new concept, micro-urbanization, to fill this knowledge gap, and develop a methodology to characterize and map it using dense remote sensing time series data and landscape pattern metrics. We define micro-urbanization as a process of urban land change that has five primary characteristics: small, patchy, far from main urban areas, with limited geographic connection with existing urban areas and low urban intensity. We apply the method to two rapidly urbanizing countries in Africa, Nigeria and the Democratic Republic of the Congo. Results show that the methodology is capable of detecting micro-urbanization with relatively high spatial and temporal accuracy. |
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0169-2046 |
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Call Number |
GFZ @ kyba @ |
Serial |
2581 |
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