GF-1 images-based information extraction of natural roads in arid and semi-arid regions of the Mongolian Plateau: A case study of Gurvantes Soum, Mongolia

doi:10.6046/zrzyyg.2022117

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Abstract

Many unplanned natural roads, which are also known as temporary roads or unpaved roads, exist in the vast arid and semi-arid regions of the Mongolian Plateau. These natural roads, which were formed due to the arbitrary running of vehicles, will influence the surface ecology and its stability and aggravate land degradation in arid and semi-arid regions. They have a large quantity, are distributed irregularly, and tend to change with regional development. Therefore, there is an urgent need for the efficient and accurate information acquisition of natural roads in large-scale grassland regions, which is a challenge. Based on domestic high-resolution satellite (GF-1) images, this study extracted information on the natural roads in Mongolia using the object-oriented method. First, the data of GF-1 images covering the study area were preprocessed, and the image objects were segmented using the multiresolution segmentation method. Then, the characteristics of the natural roads were analyzed for information extraction. By calculating the parameters of spectral and geometric features and randomly selecting road samples to statistically analyze the characteristic values of samples, the parameters that could characterize the natural roads were selected to construct a set of rules for information extraction of roads. Finally, information on roads was extracted and optimized by combining multiple methods for classification, among which the nearest neighbor classification method was used for preliminary extraction while other classification algorithms such as threshold classification were used for optimization. Consequently, natural roads with a length of 3 708.745 km were extracted in the study area, with a density of 0.129 km/km². This result shows that the natural roads in the study area are densely distributed in the southeast and sparsely distributed in the north and west overall. These distribution characteristics are consistent with the actual production of coal mine enterprises and the living of local residents in the study area. Therefore, the method proposed in this study can extract almost complete information about natural roads in the study area and thus can be used as a reference for the information extraction of natural roads in vast arid and semi-arid regions of the Mongolian Plateau.

Keywords GF-1 image Mongolian Plateau natural road unpaved road road information extraction object-oriented

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Issue Date: 07 July 2023

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	Xiya LIANG
	Juanle WANG
	Pengfei LI
	Davaasuren DAVAADORJ

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Xiya LIANG,Juanle WANG,Pengfei LI, et al. GF-1 images-based information extraction of natural roads in arid and semi-arid regions of the Mongolian Plateau: A case study of Gurvantes Soum, Mongolia[J]. Remote Sensing for Natural Resources, 2023, 35(2): 122-131.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022117 OR https://www.gtzyyg.com/EN/Y2023/V35/I2/122

Tab.1 Main parameters of GF-1 satellites

Fig.1 Part of the image datas of the study area

Fig.2 The flow chart of road extraction

Fig.3 Image segmentation experiment

Fig.4 The result of optimal segmentation parameters combination

Fig.5 Calculation results of spectral characteristic parameters of image

Fig.6 Calculation results of image geometric feature parameters

Tab.2 Natural Road extraction rule set

Fig.7 Optimization of natural road wrong division

Fig.8 Road extraction distribution map of Gurvantes Soum in 2015

Fig.9 Overlay map of road distribution and elevation

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