Urban-Rural Fringe Recognition with the Integration of Optical and Nighttime Lights Data

Spatial identification of urban-rural fringes (URF) is crucial for monitoring urban sprawl and mapping out urban management planning. This paper proposes an efficient approach for extracting URF, integrating optical and nighttime lights (NTL) data. Results illustrate that the proposed approach is an effective and practical algorithm for URF identification. The findings highlight the potential of combining optical and NTL data for earth observation, which provide opportunities for new applications.

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