{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T09:43:56Z","timestamp":1776419036410,"version":"3.51.2"},"reference-count":32,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2022,11,27]],"date-time":"2022-11-27T00:00:00Z","timestamp":1669507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["XDA19090139"],"award-info":[{"award-number":["XDA19090139"]}]},{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["XDA19070202"],"award-info":[{"award-number":["XDA19070202"]}]},{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["42071312"],"award-info":[{"award-number":["42071312"]}]},{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["No. 31, JTT [2018]"],"award-info":[{"award-number":["No. 31, JTT [2018]"]}]},{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["2021YFB3900503"],"award-info":[{"award-number":["2021YFB3900503"]}]},{"name":"National Natural Science Foundation of China","award":["XDA19090139"],"award-info":[{"award-number":["XDA19090139"]}]},{"name":"National Natural Science Foundation of China","award":["XDA19070202"],"award-info":[{"award-number":["XDA19070202"]}]},{"name":"National Natural Science Foundation of China","award":["42071312"],"award-info":[{"award-number":["42071312"]}]},{"name":"National Natural Science Foundation of China","award":["No. 31, JTT [2018]"],"award-info":[{"award-number":["No. 31, JTT [2018]"]}]},{"name":"National Natural Science Foundation of China","award":["2021YFB3900503"],"award-info":[{"award-number":["2021YFB3900503"]}]},{"name":"Hainan Hundred Special Project","award":["XDA19090139"],"award-info":[{"award-number":["XDA19090139"]}]},{"name":"Hainan Hundred Special Project","award":["XDA19070202"],"award-info":[{"award-number":["XDA19070202"]}]},{"name":"Hainan Hundred Special Project","award":["42071312"],"award-info":[{"award-number":["42071312"]}]},{"name":"Hainan Hundred Special Project","award":["No. 31, JTT [2018]"],"award-info":[{"award-number":["No. 31, JTT [2018]"]}]},{"name":"Hainan Hundred Special Project","award":["2021YFB3900503"],"award-info":[{"award-number":["2021YFB3900503"]}]},{"name":"National Key R&amp;D Program of China","award":["XDA19090139"],"award-info":[{"award-number":["XDA19090139"]}]},{"name":"National Key R&amp;D Program of China","award":["XDA19070202"],"award-info":[{"award-number":["XDA19070202"]}]},{"name":"National Key R&amp;D Program of China","award":["42071312"],"award-info":[{"award-number":["42071312"]}]},{"name":"National Key R&amp;D Program of China","award":["No. 31, JTT [2018]"],"award-info":[{"award-number":["No. 31, JTT [2018]"]}]},{"name":"National Key R&amp;D Program of China","award":["2021YFB3900503"],"award-info":[{"award-number":["2021YFB3900503"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Road information plays a fundamental role in many applications. However, at present, it is difficult to extract road information from the traditional nighttime light images in view of their low spatial and spectral resolutions. To fill the gap in high-resolution nighttime light (NTL) data, the Sustainable Development Goals Satellite-1(SDGSAT-1) developed by the Chinese Academy of Sciences (CAS) was successfully launched on 5 November 2021. With 40 m spatial resolution, NTL data acquired by the Glimmer Imager Usual (GIU) sensor on the SDGSAT-1 provide a new data source for road extraction. To evaluate the ability of SDGSAT-1 NTL data to extract road information, we proposed a new road extraction method named Band Operation and Marker-based Watershed Segmentation Algorithm (BO-MWSA). Comparing with support vector machine (SVM) and optimum threshold (OT) algorithms, the results showed that: (1) the F1 scores of the roads in the test area extracted by SVM, OT, and BO-MWSA were all over 70%, indicating that SDGSAT-1\/GIU data could be used as a data source for road extraction. (2) The F1 score of road extraction by BO-MWSA is 84.65%, which is 11.02% and 9.43% higher than those of SVM and OT, respectively. In addition, the F1 scores of BO-MWSA road extraction in Beijing and Wuhan are both more than 84%, indicating that BO-MWSA is an effective method for road extraction using NTL imagery. (3) In road extraction experiments for Lhasa, Beijing, and Wuhan, the results showed that the greater the traffic flow was, the lower the accuracy of the extracted roads became. Therefore, BO-MWSA is an effective method for road extraction using SDGSAT-1 NTL data.<\/jats:p>","DOI":"10.3390\/rs14236015","type":"journal-article","created":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T07:01:30Z","timestamp":1669618890000},"page":"6015","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Research on Road Extraction Method Based on Sustainable Development Goals Satellite-1 Nighttime Light Data"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2155-0370","authenticated-orcid":false,"given":"Dingkun","family":"Chang","sequence":"first","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"International Research Center of Big Data for Sustainable Development Goals, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6084-1889","authenticated-orcid":false,"given":"Qinjun","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"International Research Center of Big Data for Sustainable Development Goals, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Key Laboratory of the Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Sanya 572029, China"}]},{"given":"Jingyi","family":"Yang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"International Research Center of Big Data for Sustainable Development Goals, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"given":"Wentao","family":"Xu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"International Research Center of Big Data for Sustainable Development Goals, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Wang, S., Yang, H., Wu, Q., Zheng, Z., Wu, Y., and Li, J. 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