Showing papers by "Jun Yang published in 2017"
TL;DR: In this article, the spatial distribution of urban green space and land surface temperature (LST) in Dalian City, China, were obtained through remote sensing interpretation and inversion.
164 citations
TL;DR: Wang et al. as mentioned in this paper employed the Delphi-analytic hierarchy process (AHP) evaluation method and a spatial analysis method to study the spatial differences of snow and ice tourism suitability in China.
Abstract: Ice, snow, and rime are wonders of the cold season in an alpine climate zone and climate landscape. With its pure, spectacular, and magical features, these regions attract numerous tourists. Ice and snow landscapes can provide not only visually-stimulating experiences for people, but also opportunities for outdoor play and movement. In China, ice and snow tourism is a new type of recreation; however, the establishment of snow and ice in relation to the suitability of the surrounding has not been clearly expressed. Based on multi-source data, such as tourism, weather, and traffic data, this paper employs the Delphi-analytic hierarchy process (AHP) evaluation method and a spatial analysis method to study the spatial differences of snow and ice tourism suitability in China. China’s ice and snow tourism is located in the latitude from 35°N to 53.33°N and latitude 41.5°N to 45°N and longitude 82°E to 90°E, with the main focus on latitude and terrain factors. A poor fit is concentrated at latitude 20.45°N to 35°N and longitude 100°E to 122°E; the difference is that the latitude is low and affected by the Japanese warm current. The analysis of the suitability of ice and snow tourism can be employed as a reference for the development of ice and snow tourism.
16 citations
TL;DR: A new method based on an efficient vector-raster overlay algorithm (VROA-based method) to calculate the surface areas of irregularly shaped land use patches to satisfy the requirements of large-scale engineering applications is proposed.
Abstract: The Earth’s surface is uneven, and conventional area calculation methods are based on the assumption that the projection plane area can be obtained without considering the actual undulation of the Earth’s surface and by simplifying the Earth’s shape to be a standard ellipsoid. However, the true surface area is important for investigating and evaluating land resources. In this study, the authors propose a new method based on an efficient vector-raster overlay algorithm (VROA-based method) to calculate the surface areas of irregularly shaped land use patches. In this method, a surface area raster file is first generated based on the raster-based digital elevation model (raster-based DEM). Then, a vector-raster overlay algorithm (VROA) is used that considers the precise clipping of raster cells using the vector polygon boundary. Xiantao City, Luotian County, and the Shennongjia Forestry District, which are representative of a plain landform, a hilly topography, and a mountain landscape, respectively, are selected to calculate the surface area. Compared with a traditional method based on triangulated irregular networks (TIN-based method), our method significantly reduces the processing time. In addition, our method effectively improves the accuracy compared with another traditional method based on raster-based DEM (raster-based method). Therefore, the method satisfies the requirements of large-scale engineering applications.
5 citations