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arXiv · 2306.02794

NDUI+: A fused DMSP-VIIRS based global normalized difference urban index dataset

Manmeet Singh·Subhasis Ghosh·Harsh Kamath·Shivam Saxena·Vaisakh SB·Chandana Mitra·Naveen Sudharsan·Suryachandra Rao·Hassan Dashtian·Lori Magruder·Marshall Shepherd·Dev Niyogi
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Abstract

Urbanization is advancing rapidly, covering less than 2% of Earth's surface yet profoundly influencing global environments and experiencing disproportionate impacts from extreme weather events. Effective urban management and planning require high-resolution, temporally consistent datasets that capture the complexity of urban growth and dynamics. This study presents NDUI+, a novel global urban dataset addressing critical gaps in urban data continuity and quality. NDUI+ integrates data from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS), VIIRS Nighttime Light, and Landsat 7 NDVI using advanced remote sensing and deep learning techniques. The dataset resolves sensor discontinuity challenges, offering a seamless 30-meter spatial and annual temporal resolution time series from 1999 to the present. NDUI+ demonstrates high precision and granularity, aligning closely with high-resolution satellite data and capturing urban dynamics effectively. The dataset provides valuable insights for urban climate studies, IPCC assessments, and urbanization research, complementing resources like UT-GLOBUS for urban modeling.

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Manmeet Singh, Subhasis Ghosh, Harsh Kamath, Shivam Saxena, Vaisakh SB, Chandana Mitra, Naveen Sudharsan, Suryachandra Rao, Hassan Dashtian, Lori Magruder, Marshall Shepherd, Dev Niyogi. 2024-11-19. NDUI+: A fused DMSP-VIIRS based global normalized difference urban index dataset. https://arxiv.org/abs/2306.02794

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