Impervious surface extraction of multi-source high-resolution images in 2018 in Anhui Province

Fan Wang, Xiaofeng Jia, Mengya Li, Shijie Jia, J.Y. Liu, Z.B. Xu, D.Q. Chen
2019 E3S Web of Conferences  
With the development of the economy and the continuous improvement of social demand, the impervious area is more and more representative of the urbanization process and economic development level of the society. Anhui Province is a big province, and the impervious information is an essential element for an accurate understanding of economic development. To accurately understand the impervious surface and economic development level of Anhui Province, this study selects the training samples of
more » ... ining samples of Anhui province, trains the classifier, uses the classification algorithm of support vector machine, combines 2018 Sentinel-2 and Landsat8 in Matlab, and uses the LUOJIA-1 nighttime light data as auxiliary. The data was used to make land use planning maps for forests, farmland, impervious surfaces and water bodies in Anhui Province, and then the impervious information of the province in Anhui Province was extracted with high precision in 2018. Compared with the results of Sentinel-2&LUOJIA-1 and Landsat8&LUOJIA-1, it is proved that the combination of Sentinel-2, Landsat8 and LUOJIA-1 data can extract impervious information with high accuracy and high precision.
doi:10.1051/e3sconf/201913101084 fatcat:b445mpnrmjdrrnlecmrxctbdru