scholarly journals Design and Development of an Assistance Tool for Education on the Geospatial Information Technology

2014 ◽  
Vol 22 (2) ◽  
pp. 81-91
Author(s):  
Morishige Ota
Author(s):  
Sudip Pradhan ◽  
Birendra Bajracharya ◽  
Kiran Shakya ◽  
Bikram Shakya

AbstractOver the last few decades, the development of geospatial technologies has converged with a variety of formal information technology disciplines (Zwartjes in Eur J Geogr 9(4):138–151, 2018; Jackson and Schell in Directions Magazine, 2009). The rapidly growing location-based services seamlessly integrate data and technologies from Earth observation (EO), Geographic Information System (GIS), Geographic Position System (GPS), and wireless and mobile communications (Huang et al. in J Location Based Servi 12(2):63–93, 2018).


Author(s):  
Rajesh Bahadur Thapa ◽  
Poonam Tripathi ◽  
Mir A. Matin ◽  
Birendra Bajracharya ◽  
Betzy E. Hernandez Sandoval

AbstractThe innovative transformation in geospatial information technology (GIT) and Earth observation (EO) data provides a significant opportunity to study the Earth’s environment and enables an advanced understanding of natural and anthropogenic impacts on ecosystems at the local, regional, and global levels (Thapa et al. in Carbon Balance Manag 10(23):1–13, 2015; Flores et al. in SAR handbook: comprehensive methodologies for forest monitoring and biomass estimation. NASA Publication, 2019; Leibrand et al. in Front Environ Sci 7:123, 2019; Chap. 10.1007/978-3-030-73569-2_1). The major advantages of these technologies can be briefly categorized into five broad areas: multidisciplinary; innovative and emerging; providing platforms for analysis, modelling, and visualization; capability to support decision-making; and impact on policies.


2018 ◽  
Vol 1 ◽  
pp. 1-4
Author(s):  
Hiroshi Une ◽  
Takayuki Nakano

Geographic location is one of the most fundamental and indispensable information elements in the field of disaster response and prevention. For example, in the case of the Tohoku Earthquake in 2011, aerial photos taken immediately after the earthquake greatly improved information sharing among different government offices and facilitated rescue and recovery operations, and maps prepared after the disaster assisted in the rapid reconstruction of affected local communities. Thanks to the recent development of geospatial information technology, this information has become more essential for disaster response activities. Advancements in web mapping technology allows us to better understand the situation by overlaying various location-specific data on base maps on the web and specifying the areas on which activities should be focused. Through 3-D modelling technology, we can have a more realistic understanding of the relationship between disaster and topography. Geospatial information technology can sup-port proper preparation and emergency responses against disasters by individuals and local communities through hazard mapping and other information services using mobile devices. Thus, geospatial information technology is playing a more vital role on all stages of disaster risk management and responses. In acknowledging geospatial information’s vital role in disaster risk reduction, the Sendai Framework for Disaster Risk Reduction 2015–2030, adopted at the Third United Nations World Conference on Disaster Risk Reduction, repeatedly reveals the importance of utilizing geospatial information technology for disaster risk reduction. This presentation aims to report the recent practical applications of geospatial information technology for disaster risk management and responses.


2021 ◽  
Vol 1933 (1) ◽  
pp. 012010
Author(s):  
Nunu Nugraha ◽  
Dadan Nugraha ◽  
Dadang Hamdani ◽  
Roni Nursyamsu ◽  
Jerry Dounald Rahajaan

2019 ◽  
Vol 2 ◽  
pp. 1-7
Author(s):  
Morishige Ota

<p><strong>Abstract.</strong> The general feature model (GFM) and the general portrayal model (GPM) are defined in the geospatial information technology learning assistance tool called gittok. This paper introduces five proposals to integrate different types of features and associations in the GFM and GPM: 1) the extensional-schematization procedure enables to formulate application schemata by specifying its extension, that is, every object that falls under the screening guideline; 2) nongeographic feature type may be included in the application schema; 3) feature association type can be geographic or nongeographic in a similar way as feature type; 4) nongeographic features and/or associations can be represented as a one-dimensional map or list; 5) representation by the copy of the portrayal declaration associating with a super feature type to avoid duplication should be possible. These proposals will expand the discipline of geospatial information technology (GIT).</p>


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