In early 2013, the first global Suomi National Polar-orbiting Partnership (NPP) visible infrared imaging radiometer suite (VIIRS) nighttime light composite data were released. Up to present, few studies have been conducted to evaluate the ability of NPP-VIIRS data to estimate the amount of freight traffic. This paper provides an exploratory evaluation on the NPP-VIIRS data for estimating the total freight traffic (TFT) in China, in comparison with the results derived from the Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS) nighttime stable light composite data. We first corrected the original NPP-VIIRS data by employing a simple method to remove the outliers. The total nighttime light (TNL) which is measured by the sum value of all pixels from the nighttime light composite data was then regressed on TFT at the provincial level of China. Finally, the spatial distribution patterns of TFT were produced from the corrected NPP-VIIRS and DMSPOLS data, respectively, and validated by the TFT statistics of 244 prefectures. The results have demonstrated that the corrected NPP-VIIR
Go to Resource| Field | Value |
|---|---|
| Author(s) | Kaifang Shi, Bailang Yu, Yingjie Hu, Chang Huang, Yun Chen, Yixiu Huang, Zuoqi Chen, Jianping Wu |
| Last Updated | February 11, 2021, 19:10 (UTC) |
| Created | December 7, 2020, 22:42 (UTC) |
| Stable Link | https://d1wqtxts1xzle7.cloudfront.net/49750706/Modeling_and_mapping_total_freight_traffic_in_China_using_NPP_VIIRS_nighttime_light_composite_data.pdf?1477002339=&response-content-disposition=inline%3B+filename%3DModeling_and_mapping_total_freight_traff.pdf&Expires=1613068860&Signature=SjAXb8x4L5GANOPhTTcYR~l8vJ1MQu~CXV5p4QKER6tINnWfTtEpa7paOaKJ6TQn4MxO8zXYt9uBpzIkSudfBbbwe4k4sryBIBNHY2snag0fwIQDhKCHlFYOym~mAGGKLT9160XEZS5Xuk0g-aCMUgiYP8~TKPOUZFa~nHBwGmjNjdbNMEmggYoPoPOn0bBcKVBjQXwLtV8kPFdSKzEOtIYraaYISAPehiy1AoBXzuuNP4hCIZkF6e9gOsFZOwEri4Yp6Ras5LmVV661BigMuaIrSfECTwN0eCvEg0mG6UBJlWZ6TOZmKeoNXmw-Dp8LoQbdsuIT8FlbhUvaQg~nLw__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA |
| Date | 2015-03-19 |
| Publishing Body | GIScience & Remote Sensing |
| Content Type | Publications |
| Primary Category | Demographics & Socioeconomics |
| Sub Category | Socioeconomics |
| Country Name | China |
| Publishing Organization | New Light Technologies |