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Wei Ge, Hong Yang, Xiaobo Zhu, Mingguo Ma and Yuli Yang
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Chang Huang, Yun Chen, Shiqiang Zhang, Linyi Li, Kaifang Shi and Rui Liu
Capturing the dynamics of a lake-water area using remotely sensed images has always been an essential task. Most of the fine spatial resolution data are unsuitable for this purpose because of their low temporal resolution and limited scene coverage. A Vi...
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Le-Lin Li, Peng Liang, San Jiang and Ze-Qiang Chen
Under the influence of various forces, the conflict between Russia and Ukraine is violent and changeable. The obtaining of battlefield data by conventional means is difficult but necessary in order to ensure security, reliability, and comprehensiveness. ...
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Joan Checa and Oriol Nel·lo
The contribution shares the approach of critical urban studies that have conceptualized urbanization more as a process than as a sum of spatial forms. Thus, the contribution studies the urbanization process not only from the point of view of the physical...
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Joan Checa and Oriol Nel·lo
The contribution shares the approach of critical urban studies that have conceptualized urbanization more as a process than as a sum of spatial forms. Thus, the contribution studies the urbanization process not only from the point of view of the physical...
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Jie Zhu, Ziqi Lang, Shu Wang, Mengyao Zhu, Jiaming Na and Jiazhu Zheng
Night-time light data (NTL) have been extensively utilized to map urban fringe areas, but to date, there has not been a comprehensive evaluation of the existing spatial clustering methods for delineating the urban fringe using different types of night-ti...
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Yuling Ruan, Yanhong Zou, Minghui Chen and Jingya Shen
Urban area hotspots are considered to be an ideal proxy for spatial heterogeneity of human activity, which is vulnerable to urban expansion. Nighttime light (NTL) images have been extensively employed in monitoring current urbanization dynamics. However,...
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Linfeng Wang, Shengbo Chen, Lei Chen, Zibo Wang, Bin Liu and Yucheng Xu
Accurately mapping urban built-up areas is critical for monitoring urbanization and development. Previous studies have shown that Night light (NTL) data is effective in characterizing the extent of human activity. But its inherently low spatial resolutio...
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Sean McCarthy, Summer Crawford, Christopher Wood, Mark D. Lewis, Jason K. Jolliff, Paul Martinolich, Sherwin Ladner, Adam Lawson and Marcos Montes
Here we present a machine-learning-based method for utilizing traditional ocean-viewing satellites to perform automated atmospheric correction of nanosatellite data. These sensor convolution techniques are required because nanosatellites do not usually p...
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Francis Gohin, Philippe Bryère, Alain Lefebvre, Pierre-Guy Sauriau, Nicolas Savoye, Vincent Vantrepotte, Yann Bozec, Thierry Cariou, Pascal Conan, Sylvain Coudray, Gaelle Courtay, Sylvaine Françoise, Anne Goffart, Tania Hernández Fariñas, Maud Lemoine, Aude Piraud, Patrick Raimbault and Michael Rétho
The consistency of satellite and in situ time series of Chlorophyll-a (Chl-a), Turbidity and Total Suspended Matters (TSM) was investigated at 17 coastal stations throughout the year 2017. These stations covered different water types, from relatively cle...
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