气候变化领域集成服务门户(CCPortal): GEOMATIC TECHNIQUES for the OPTIMIZATION of SKI RESOURCES

CCPortal

DOI	10.5194/isprs-archives-XLIII-B2-2020-1009-2020
	GEOMATIC TECHNIQUES for the OPTIMIZATION of SKI RESOURCES
	Aicardi I.; Angeli S.; Grasso N.; Lingua A.M.; Maschio P.
发表日期	2020
ISSN	16821750
起始页码	1009
结束页码	1016
卷号	43 期号:B2
英文摘要	Climate change is already affecting the entire world, with extreme weather conditions such as drought, heat waves, heavy rain, floods and landslides becoming more frequent, including Europe. In according to Paris agreement and relative European announcement of Carbon neutrality (by 2050), the saving of water and energy supplies is a fundamental aspect in the management of resources in production, sports, hospitality facilities and so on. Some methodologies for the optimization of the consumption of natural resources are required. This article describes an activity aimed at measuring, monitoring and analysing the thickness of the snowpack on the ski slopes during the winter season to permit a sustainable approach of snowmaking in alpine ski areas . The authors propose a methodology based on the integration of multitemporal surface (ground/snow) survey by Autonomous Aerial Vehicle (AAV) and low cost GNSS receivers mounted on snow groomers for a RTK (Real Time Kinematic) solution. To obtain a complete snow surface digital models with poor detailed images on ski slopes, some pre-processing techniques have been analysed to locally improve contrast and details with a local high pass filtering. The methodology has been employed in two study areas (Limone Piemonte, Prato Nevoso) located in the province of Cuneo, in the southern alpine area of Piedmont. © 2020 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives.
英文关键词	aerial photogrammetry; GNSS; ski; snow depth; unmanned aerial vehicle (UAV)
scopus关键词	Antennas; Climate change; Extreme weather; Image enhancement; Snow making; Carbon neutralities; Detailed images; Extreme weather conditions; High-pass filtering; Multi-temporal; Pre-processing; Real time kinematic; Water and energies; High pass filters
来源期刊	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/176616
作者单位	DIATI, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, 10124, Italy; PIC4SeR, Politecnico di Torino Interdepartmental Centre for Service Robotics, Torino, Italy
推荐引用方式 GB/T 7714	Aicardi I.,Angeli S.,Grasso N.,et al. GEOMATIC TECHNIQUES for the OPTIMIZATION of SKI RESOURCES[J],2020,43(B2).
APA	Aicardi I.,Angeli S.,Grasso N.,Lingua A.M.,&Maschio P..(2020).GEOMATIC TECHNIQUES for the OPTIMIZATION of SKI RESOURCES.International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives,43(B2).
MLA	Aicardi I.,et al."GEOMATIC TECHNIQUES for the OPTIMIZATION of SKI RESOURCES".International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 43.B2(2020).