An offline–online Web-GIS Android application for  fast data acquisition of landslide hazard and risk

Olyazadeh, Roya; Sudmeier-Rieux, Karen; Jaboyedoff, Michel; Derron, Marc‐Henri; Devkota, Sanjaya

doi:10.5194/nhess-17-549-2017

Cited by 23 publications

(18 citation statements)

References 22 publications

(33 reference statements)

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“…While the dedicated GNSS devices described in the previous section were ubiquitous in natural resources until recent years, positioning via the GNSS chip present in most modern mobile devices and tablets is now increasingly common [55][56][57]. Mobile-based apps such as Avenza Maps ® store georeferenced, custom maps in GeoTIFF or GeoPDF format on mobile devices, allowing users to view positions on a smartphone or tablet rather than on a conventional, dedicated GNSS unit [58,59].…”

Section: Gnss-smartphone and Tablet-based Mappingmentioning

confidence: 99%

Positioning Methods and the Use of Location and Activity Data in Forests

Keefe

Wempe

Becker

et al. 2019

Forests

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In this paper, we provide an overview of positioning systems for moving resources in forest and fire management and review the related literature. Emphasis is placed on the accuracy and range of different localization and location-sharing methods, particularly in forested environments and in the absence of conventional cellular or internet connectivity. We then conduct a second review of literature and concepts related to several emerging, broad themes in data science, including the terms location-based services (LBS), geofences, wearable technology, activity recognition, mesh networking, the Internet of Things (IoT), and big data. Our objective in this second review is to inform how these broader concepts, with implications for networking and analytics, may help to advance natural resource management and science in the future. Based on methods, themes, and concepts that arose in our systematic reviews, we then augmented the paper with additional literature from wildlife and fisheries management, as well as concepts from video object detection, relative positioning, and inventory-tracking that are also used as forms of localization. Based on our reviews of positioning technologies and emerging data science themes, we present a hierarchical model for collecting and sharing data in forest and fire management, and more broadly in the field of natural resources. The model reflects tradeoffs in range and bandwidth when recording, processing, and communicating large quantities of data in time and space to support resource management, science, and public safety in remote areas. In the hierarchical approach, wearable devices and other sensors typically transmit data at short distances using Bluetooth, Bluetooth Low Energy (BLE), or ANT wireless, and smartphones and tablets serve as intermediate data collection and processing hubs for information that can be subsequently transmitted using radio networking systems or satellite communication. Data with greater spatial and temporal complexity is typically processed incrementally at lower tiers, then fused and summarized at higher levels of incident command or resource management. Lastly, we outline several priority areas for future research to advance big data analytics in natural resources.

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Section: Gnss-smartphone and Tablet-based Mappingmentioning

confidence: 99%

Positioning Methods and the Use of Location and Activity Data in Forests

Keefe

Wempe

Becker

et al. 2019

Forests

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“…Information acquisition is challenging in the development of such a database because it depends on several people working in the field, such as road menders, railway maintenance workers, and forestry workers, who may have lit-tle time or interest in filling in the relevant attributes of the database. Hence, improvements to the database quality are possible using new tools such as offline collaborative We-bGIS (Balram and Dragicevic, 2006;Pirotti et al, 2011;Aye et al, 2016;Olyazadeh et al, 2017), which can facilitate event data collection directly in the field using smartphones.…”

Section: General Discussion Of Natural Hazards and Transportation Netmentioning

confidence: 99%

“…In some cases, the sensitivity increased, for example, after two tourists were killed on Gotthard highway in 2006 when a portion of the Eiger summit collapsed. This made journalists prone to focusing on slope mass movements (RTS, 2006a, b;Liniger and Bieri, 2006;Oppikofer et al, 2008). Conversely, when many events occur simultaneously during intense storms, only the most significant disasters are reported in the press.…”

Section: Completeness Of the Databasementioning

confidence: 99%

Natural hazard events affecting transportation networks in Switzerland from 2012 to 2016

Voumard

Derron

Jaboyedoff

2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Switzerland is threatened by many natural hazards. Many events occur in built-up environments, affecting infrastructure, buildings, and transportation networks, occasionally producing expensive damages. This expense is why large landslides are generally well studied and monitored in Switzerland to reduce the financial and human risks. However, there is a lack of data on small events, which have recently affected roads and railways. Therefore, in this study, all of the reported natural hazard events that have affected Swiss transportation networks since 2012 were collected in a database. More than 800 events affecting roads and railways were recorded within in a 5-year period from 2012 to 2016. These events are classified into six classes: earth flow, debris flow, rockfall, flood, snow avalanche, and others. Data from Swiss online press articles were sorted by Google Alerts. The search was based on more than 30 keywords in three languages (Italian, French, and German). After verification that the article was related to an actual event that affected a road or a railway track, it was studied in detail. We collected information on more than 170 attributes of events, such as the event date, event type, event localization, meteorological conditions, impacts and damages on the track, and human damages. From this database, a variety of trends over the 5-year period can be observed in the event attributes, particularly the spatial and temporal distributions of the events, and their consequences on traffic (closure duration, deviation, costs of direct damage). The database is imperfect due to the short period of data collection, but it highlights the non-negligible impact of small natural hazard events on roads and railways in Switzerland at a national level. This database contributes to understanding and quantification of these types of events and better integration in risk assessment.

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“…People are now living in a connected world and the technology is already in the hands of people; however, it was argued that investment in trained volunteers who could provide valid data was an essential requirement. Olyazadeh et al [27] developed a mobile GIS application for rapid landslide data collection, such as landside type, feature, volume, date, and patterns, so that landslide inventory maps can be created with the help of the general public.…”

Section: Related Workmentioning

confidence: 99%

Share Our Cultural Heritage (SOCH): Worldwide 3D Heritage Reconstruction and Visualization via Web and Mobile GIS

Dhonju

Xiao

Mills

et al. 2018

IJGI

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Despite being of paramount importance to humanity, tangible cultural heritage is often at risk from natural and anthropogenic threats worldwide. As a result, heritage discovery and conservation remain a huge challenge for both developed and developing countries, with heritage sites often inadequately cared for, be it due to a lack of resources, nonrecognition of the value by local people or authorities, human conflict, or some other reason. This paper presents an online geo-crowdsourcing system, termed Share Our Cultural Heritage (SOCH), which can be utilized for large-scale heritage documentation and sharing. Supported by web and mobile GIS, cultural heritage data such as textual stories, locations, and images can be acquired via portable devices. These data are georeferenced and presented to the public via web-mapping. Using photogrammetric modelling, acquired images are used to reconstruct heritage structures or artefacts into 3D digital models, which are then visualized on the SOCH web interface to enable public interaction. This end-to-end system incubates an online virtual community to encourage public engagement, raise awareness, and stimulate cultural heritage ownership. It also provides valuable resources for cultural heritage exploitation, management, education, and monitoring over time.

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An offline–online Web-GIS Android application for fast data acquisition of landslide hazard and risk

Cited by 23 publications

References 22 publications

Positioning Methods and the Use of Location and Activity Data in Forests

Positioning Methods and the Use of Location and Activity Data in Forests

Natural hazard events affecting transportation networks in Switzerland from 2012 to 2016

Share Our Cultural Heritage (SOCH): Worldwide 3D Heritage Reconstruction and Visualization via Web and Mobile GIS

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