A study on the degree of traveling support and influencing factors for inhabitants living in the arctic-alpine areas: Taking Gannan Tibetan Autonomous Prefecture as an example

Xueyan, 赵雪雁 Zhao; Dongze, 李东泽 Li; Wei, 李威 Li; Jiangping, 严江平 Yan

doi:10.5846/stxb201810312354

Cited by 2 publications

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“…Li found that network attention data of scenic spots presents a "precursor effect" in time [8], Yan [9], Chen [10] and others used GIS technology to analyze the temporal characteristics and spatial differences of network attention. Subsequently, some scholars have carried out a series of studies on the influencing factors of network attention [11][12][13]. In a word, the network attention data of scenic spots provides a large amount of data basis for scholars to carry out related research, and has good theoretical and practical significance for the study of tourists' tourism behavior and scenic spot planning.…”

Section: Introductionmentioning

confidence: 99%

Temporal and spatial characteristics of network attention in GuiLin Lijiang scenic spot

Qin

Liu²,

Qin³

2023

Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022)

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Based on the Baidu index, this article obtained the national network attention data of Guilin Lijiang Scenic Spot from 2011 to 2021, and analyzed the spatiotemporal distribution characteristics of the network attention by combining the seasonal concentration index and the Herfindahl index. The results showed that: (1) The inter-annual variation of the network attention of Guilin Lijiang Scenic Spot fluctuated greatly, with a tortuous upward trend from 2011 to 2019, a gradual downward trend from 2019 to 2021, while the seasonal and monthly changes of network attention were not significant. (2) The spatial aggregation of the network attention of Guilin Lijiang Scenic Spot is not high, it presents a spatial distribution pattern of "close and developed regions have high attention, remote and undeveloped regions have low attention."

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Section: Introductionmentioning

confidence: 99%

Temporal and spatial characteristics of network attention in GuiLin Lijiang scenic spot

Qin

Liu²,

Qin³

2023

Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022)

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“…The average annual temperature in Gannan Plateau region is 1-13 ℃, and most areas are below 3℃. The climate is cold and humid, and the average annual precipitation is 440 ~ 800mm, which is the region with the most abundant precipitation in Gansu Province [9] .Gannan forest area is the largest forest area in Gansu Province, accounting for about 30% of the total forest area and 45% of the total forest storage [10]. It has long been the largest timber base in Gansu Province.…”

Section: Introductionmentioning

confidence: 99%

Forest canopy information extraction in Gannan Plateau based on UAV high-resolution images

Wu¹,

Han²

2023

International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023)

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In order to explore the feasibility of applying UAV remote sensing and object-oriented canopy extraction technology to forest areas with different canopy densities, 26 forest plots located in Gannan Plateau were selected and divided into two categories of coniferous forests with medium and high canopy densities. ESP tool was used to screen the optimal segmentation scale for multi-scale segmentation, and the feature space was optimized for object-oriented classification. The east-west and north-south crown amplitudes on quadrat scale were extracted in ArcGIS. The extracted crown amplitude was compared with the field measured data to evaluate the accuracy. The results were as follows: In UAV image extraction, the fitting values R2 and RMSE of east and west canopy width and measured values were 0.865 and 1.025m, respectively, and the fitting values R2 and RMSE of north and south canopy width were 0.867 and 1.235m, respectively. The R2 and RMSE of east and west canopy width with high canopy closure were 0.828 and 1.145m, respectively, and the R2 and RMSE of north and south canopy width were 0.787 and 1.523m, respectively. The extraction effect of the plots with medium canopy closure was better than that of the plots with high canopy closure, and both of the two canopy closure met the accuracy requirements. The results show that the automatic extraction method of canopy parameter information based on UAV remote sensing image is efficient and reliable, and has important practical significance in forest resources investigation.

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A study on the degree of traveling support and influencing factors for inhabitants living in the arctic-alpine areas: Taking Gannan Tibetan Autonomous Prefecture as an example

Cited by 2 publications

References 0 publications

Temporal and spatial characteristics of network attention in GuiLin Lijiang scenic spot

Temporal and spatial characteristics of network attention in GuiLin Lijiang scenic spot

Forest canopy information extraction in Gannan Plateau based on UAV high-resolution images

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