Comprehensive evaluation of the urban built-up areas mapping ability from Luojia 1-01 nighttime light imagery over China

doi:10.11947/j.AGCS.2023.20210221

Abstract

Abstract: The urban built-up areas are physical spaces for human activities, which is a critical indicator for monitoring the progress of urbanization. Furthermore, nighttime light imagery is an effective data source for mapping urban built-up areas (BUA). LJ1-01 (hereinafter referred to as LJ1), the first global professional nighttime light (NTL) remote sensing satellite, has a finer resolution than the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor on the Suomi National Polar-orbiting Partnership (NPP) satellite. Currently, studies focusing on the BUA extraction from LJ1 are limited in spatial coverage and lack of systematic large-scale evaluation. This study aims at achieving the first assessment of LJ1 for urban BUA mapping over China, including multiple biomes and city levels, with the results of NPP as comparisons. In addition, the performance of integrating both NTL datasets (LJ1 and NPP) is also discussed. The results show that LJ1 achieves lower recall ratio than NPP (that suffers from an enhanced blooming effect) at the 100 m resolution, while the precision of LJ1 is higher than that of NPP except for the small cities, owing to the higher spatial resolution of LJ1 and its capability in capturing more spatial details. As for F₁ score, LJ1 performs worse than NPP except in mega/large cities. At the resolution of 500 m, the F₁ of LJ1 is generally lower than that of NPP. The results at both resolution levels demonstrate that the combined utilization of LJ1 and NPP outperforms their individual use in the urban BUA extraction.

Key words: built-up area mapping, nighttime light, LJ1-01, NPP/VIIRS

CLC Number:

P227

HU Ting, HUANG Xin, LI Dongrui, JIN Shuanggen, YAN Qingyun. Comprehensive evaluation of the urban built-up areas mapping ability from Luojia 1-01 nighttime light imagery over China[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(3): 432-442.

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