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Mapping Flooded Paddy-Rice Fields in the Landscape between Turin and Milan: A GIS-Based Method for Detecting Scenic Routes for Experiential Tourism 基于gis的体验式旅游景区路线检测方法——都灵-米兰水稻田景观地图绘制

GI_Forum Pub Date : 2021-06-29 DOI: 10.1553/giscience2021_01_s169

A. Scandiffio

{"title":"Mapping Flooded Paddy-Rice Fields in the Landscape between Turin and Milan: A GIS-Based Method for Detecting Scenic Routes for Experiential Tourism","authors":"A. Scandiffio","doi":"10.1553/giscience2021_01_s169","DOIUrl":"https://doi.org/10.1553/giscience2021_01_s169","url":null,"abstract":"The current research aims to explore the potential of ESA Sentinel-2 time-series satellite imagery, for detecting the seasonal landscape changes of paddy-rice fields, in the north-west of Italy, by using GIS mapping tools. On a regional scale context, paddy-rice mapping has several implications for agricultural monitoring, precision farming, food production, water management and climate change. However, it also concerns theirs high scenic value in the landscape perception, which can be a great resource for sustainable tourism. The defining characteristic of paddy-rice is that rice plants grow on flooded soils. In the field of slow tourism, such a temporary site-specific condition of the landscape can become an unconventional tourist destination. The research has been applied to territories in between cities: Turin and Milan, where the phenomenon of paddy-rice flooding, in the spring season, generates an outstanding scenic perception of the rural landscape. The research shows the effectiveness of the GIS workflow to compute the vegetation indices, which are sensitive for mapping flooded paddy-rice fields. The final outcome is a thematic map highlighting the scenic routes in the existing road network that allows experiencing such seasonal landscape conditions.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73804198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Energy from Biomass: Assessing Sustainability by Geoinformation Technology 生物质能源:利用地理信息技术评估可持续性

GI_Forum Pub Date : 2021-06-29 DOI: 10.1553/giscience2021_01_s120

M. Hirschmugl, Carina Sobe, L. Traverso, David Cifuentes, A. Calera, C. Khawaja, M. Colangeli

{"title":"Energy from Biomass: Assessing Sustainability by Geoinformation Technology","authors":"M. Hirschmugl, Carina Sobe, L. Traverso, David Cifuentes, A. Calera, C. Khawaja, M. Colangeli","doi":"10.1553/giscience2021_01_s120","DOIUrl":"https://doi.org/10.1553/giscience2021_01_s120","url":null,"abstract":"Sustainable Development Goal (SDG) target 7.2 requests a substantial increase in the share of renewable energy in the global energy mix by 2030. Renewable energy production in all sectors has to be evaluated for its contribution to reach this target. Biomass for energy production has gained a bad reputation over the past years due to the “food versus fuel” debate or reported unsustainable practices. The BIOPLAT-EU project is employing geoinformation technologies combined with sustainability and economic expertise to more accurately evaluate the sustainability of bioenergy value chains. The project has three main parts: first, the generation of a pan-European map of marginal, underutilized, and contaminated (MUC) lands potentially usable for bioenergy production. This is realized by employing remote sensing time series, existing Copernicus, and other spatial data sets. Second, the generation of a web-based geographical information system (GIS) connecting the MUC lands with other important information sources necessary to assess sustainability. Thisrd, the sustainability assessment includes not only typical social and environmental sustainability indicators like soil, water, or greenhouse gas emissions, but also economic sustainability indicators like employment. Current financial barriers are addressed by integrating innovative financing solutions considering SDG target 12.A.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85844820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advantages of 360° Virtual Forest Tours to Supplement Academic Forestry Education 360°虚拟森林之旅对林业学术教育的补充优势

GI_Forum Pub Date : 2021-01-01 DOI: 10.1553/giscience2021_02_s34

Torben Foehrder, J. Mund, P. Spathelf

引用次数: 0

Towards Dynamic Isochrone Mapping Accounting for Uncertainty 考虑不确定性的动态等时线映射

GI_Forum Pub Date : 2021-01-01 DOI: 10.1553/giscience2021_02_s193

David Li, Matthias Budde, Julian Bruns

引用次数: 0

Extracting and Geocoding Locations in Social Media Posts: A Comparative Analysis 社交媒体帖子中的位置提取和地理编码:比较分析

GI_Forum Pub Date : 2021-01-01 DOI: 10.1553/giscience2021_02_s167

H. N. Serere, Bernd Resch, C. Havas, Andreas Petutschnig

{"title":"Extracting and Geocoding Locations in Social Media Posts: A Comparative Analysis","authors":"H. N. Serere, Bernd Resch, C. Havas, Andreas Petutschnig","doi":"10.1553/giscience2021_02_s167","DOIUrl":"https://doi.org/10.1553/giscience2021_02_s167","url":null,"abstract":"Geo-social media have become an established data source for spatial analysis of geographic and social processes in various fields. However, only a small share of geo-social media data are explicitly georeferenced, which often compromises the reliability of the analysis results by excluding large volumes of data from the analysis. To increase the number of georeferenced tweets, inferred locations can be extracted from the texts of social media posts. We propose a customized workflow for location extraction from tweets and subsequent geocoding. We compare the results of two methods: DBpedia Spotlight (using linked Wikipedia entities), and spaCy combined with the geocoding methods of OpenStreetMap Nominatim. The results suggest that the workflow using spaCy and Nominatim identifies more locations than DBpedia Spotlight. For 50,616 tweets posted within California, USA, the granularity of the extracted locations is reasonable. However, several directions for future research were identified, including improved semantic analysis, the creation of a cascading workflow, and the need to integrate different data sources in order to increase reliability and spatial accuracy.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87443059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

‘This is a Great Place for Children. Here, They Can Play, Do What They Want, Have Fun and Other Things.’ Mapping Primary School Children’s Everyday Spaces 这是一个适合孩子们的好地方。在这里，他们可以玩，做他们想做的事，玩得开心和其他事情。绘制小学生的日常空间

GI_Forum Pub Date : 2021-01-01 DOI: 10.1553/giscience2021_02_s18

J. Pokraka, Torsten Kralemann–Poppell, Inga Gryl, Paula Schmidt

引用次数: 0

Orchard Meadow Trees: Tree Detection Using Deep Learning in ArcGIS Pro 果园草甸树:在ArcGIS Pro中使用深度学习的树检测

GI_Forum Pub Date : 2021-01-01 DOI: 10.1553/giscience2021_02_s82

S. Hennig

引用次数: 1

Dynamic Workflow Engine of Atmospheric Big Remote Sensing Data Processing Powered by Heterogenous Platform for High Performance Computing 基于异构高性能计算平台的大气大遥感数据处理动态工作流引擎

GI_Forum Pub Date : 2021-01-01 DOI: 10.1553/giscience2021_01_s112

Shenmin Zhang, Yong Xue, Xiran Zhou

引用次数: 0

A Web Application for Simulating Future Settlement Development 一个模拟未来住区发展的Web应用程序

GI_Forum Pub Date : 2021-01-01 DOI: 10.1553/giscience2021_02_s215

Yi-liang Deng, Wolfgang Spitzer, Sabine Gadocha, Thomas Prinz

{"title":"A Web Application for Simulating Future Settlement Development","authors":"Yi-liang Deng, Wolfgang Spitzer, Sabine Gadocha, Thomas Prinz","doi":"10.1553/giscience2021_02_s215","DOIUrl":"https://doi.org/10.1553/giscience2021_02_s215","url":null,"abstract":"With the growing residential development of urban areas and their hinterlands in the Alpine region, urban sprawl is a major concern. It is therefore essential for decision-making authorities and urban planners to monitor the demand for, and consumption of, the limited reserve of land zoned for residential buildings and the development of future settlements. Data such as demographic statistics, population forecasts, and geospatial data of the land reserve are required for this purpose. However, due to the variety of these data, tools for exploring them in an integrated and intuitive manner are rarely available. This paper introduces a web application designed to facilitate this task, a map-based strategical dashboard that was developed within the Alpine Building Centre project (Zentrum Alpines Bauen, www.alpinesbauen.at). The paper describes the application’s design goals, data preparation, architecture and user interface. With a use case in Oberndorf bei Salzburg, we demonstrate how the application visualizes the predicted future settlement situation based on existing housing patterns and population development forecasts. The use case also shows how the application allows simulation and evaluation of various scenarios for housing demand and zoned residential land use, thus assisting decision makers to devise spatial development concepts for balancing housing sufficiency and reducing urban sprawl. This paper aims to present the application as an approach of using an interactive map-based dashboard to present and utilize multidimensional data in the field of residential land use for the purposes of urban planning.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78411440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intellectual Resilience – Draft of a New Educational Approach for the Geography Classroom 智力弹性——一种新的地理课堂教育方法草案

GI_Forum Pub Date : 2021-01-01 DOI: 10.1553/giscience2021_02_s45

Daniel Raithofer, C. Hintermann

引用次数: 0