Abstract
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 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.
Highlights
With the development of urbanization and social and economic development, monitoring of urban expansion based on remote sensing images is important
Chang Bianrong and Li Rendong analyzed the spacetime characteristics of construction land expansion in Wuhan [2], using object-oriented classification method to extract construction land [2], using ESI, EII, EDI and SDE spatial analysis method shows that the early expansion has evolved to the northeast-southwest direction [2], and there is no directional conclusion in the later stage [2], which provides a basis for the decisionmaking of various government agencies in the later period; Chen Zheng et al For example, the remote sensing image data and nighttime lighting data were used to extract town information [1], distinguish between urban land and non-urban land, and analyze the characteristics of urban space-time expansion [1]; Sun Shanlei and others take the Hangzhou Bay area as an example
Based on the 2018 multi-source high-resolution remote sensing imagery to extract the impervious surface of Anhui Province, it can be seen from the extraction accuracy that the Sentinel-2 data, the Landsat data and the LUOJIA-1 data combination have 11 bands to the impervious surface
Summary
With the development of urbanization and social and economic development, monitoring of urban expansion based on remote sensing images is important. Effective monitoring of urban expansion on a regional scale can provide scientific reference for land planning and ecological environmental protection, and has important practical significance [1]. Chang Bianrong and Li Rendong analyzed the spacetime characteristics of construction land expansion in Wuhan [2], using object-oriented classification method to extract construction land [2], using ESI, EII, EDI and SDE spatial analysis method shows that the early expansion has evolved to the northeast-southwest direction [2], and there is no directional conclusion in the later stage [2], which provides a basis for the decisionmaking of various government agencies in the later period; Chen Zheng et al For example, the remote sensing image data and nighttime lighting data were used to extract town information [1], distinguish between urban land and non-urban land, and analyze the characteristics of urban space-time expansion [1]; Sun Shanlei and others take the Hangzhou Bay area as an example.
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