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Brightness of Nighttime Lights as a Proxy for Freight Traffic: A Case Study of China.

, , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (1): 206-212 (2014)

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Brightness of Nighttime Lights as a Proxy for Freight Traffic: A Case Study of China., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (1): 206-212 (2014)These lit areas are undeveloped: Delimiting China's urban extents from thresholded nighttime light imagery., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)Improving Nighttime Light Imagery With Location-Based Social Media Data., , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (4): 2161-2172 (2019)Correcting Incompatible DN Values and Geometric Errors in Nighttime Lights Time-Series Images., , and . IEEE Trans. Geosci. Remote. Sens., 53 (4): 2039-2049 (2015)Estimation of virtual water contained in international trade products using nighttime imagery., and . Int. J. Appl. Earth Obs. Geoinformation, (2012)Remote sensing and social sensing for socioeconomic systems: A comparison study between nighttime lights and location-based social media at the 500 m spatial resolution., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)Population Mapping with Multisensor Remote Sensing Images and Point-Of-Interest Data., , , , , , , and . Remote. Sens., 11 (5): 574 (2019)Mapping China's Electronic Power Consumption Using Points of Interest and Remote Sensing Data., , , , , and . Remote. Sens., 13 (6): 1058 (2021)