Analysis on evolutionary process of Liaohe Delta wetlands based on geographic information system (GIS) and remote sensing (RS)

Author(s):  
Jiujun Lv ◽  
Yansong Wang ◽  
Yinhai Lang ◽  
Huiwang Gao
2009 ◽  
Vol 7 ◽  
pp. 61-66
Author(s):  
Pushkar K Pradhan

Introduction: The Central Department of Geography (CDG) at Kirtipur is one of the leading Departments of the Faculty of Humanities and Social Sciences, Tribhuvan University. The Department was established in 1958. Since then, it has been actively serving the country in higher education and research. CDG runs regular Master’s and PhD programmes in Geography. It is a pioneer Department in running courses - Geographic Information System (GIS) and Remote Sensing (RS) in the country. Being a central department, it has to look after the academic programmes and activities of 22 Departments of Geography under the Tribhuvan University’s constituent campuses spreading across different parts of the country, where there are proficiency certificate and bachelor level studies. Of these, the Department of Geography at Prithvi Narayan Campus, Pokhara also runs regular Master’s degree, in addition to proficiency certificate and bachelor levels. This paper portrays the academic activities concerning with strengthening of geography subject being held at CDG from October 2008 onward.The Geographical Journal of Nepal, Vol. 7, 2009: 61-66


2021 ◽  
Vol 13 (9) ◽  
pp. 1818
Author(s):  
Lisha Ding ◽  
Lei Ma ◽  
Longguo Li ◽  
Chao Liu ◽  
Naiwen Li ◽  
...  

Flash floods are among the most dangerous natural disasters. As climate change and urbanization advance, an increasing number of people are at risk of flash floods. The application of remote sensing and geographic information system (GIS) technologies in the study of flash floods has increased significantly over the last 20 years. In this paper, more than 200 articles published in the last 20 years are summarized and analyzed. First, a visualization analysis of the literature is performed, including a keyword co-occurrence analysis, time zone chart analysis, keyword burst analysis, and literature co-citation analysis. Then, the application of remote sensing and GIS technologies to flash flood disasters is analyzed in terms of aspects such as flash flood forecasting, flash flood disaster impact assessments, flash flood susceptibility analyses, flash flood risk assessments, and the identification of flash flood disaster risk areas. Finally, the current research status is summarized, and the orientation of future research is also discussed.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Recchioni ◽  
V Castello ◽  
S Del Vecchio ◽  
V Ciaccio ◽  
A M Donia ◽  
...  

Abstract Issue Geographic information systems (GIS) and remote sensing technologies are increasingly used in Public Health epidemiology, showing a great potential in anticipating and responding to actual and future challenges for the public health system and in improving health services' excellence. According to the evidences collected within a wide meta-research carried on of relevant literature (”GIS geographic information system” and “GIS geographic information system and training” on Pubmed; “epidemiologist use of GIS and training” and “epidemiologist use of gis” on Google Scholar),GIS and new sensing technologies are mostly used to: map air and water pollution, map diseases prevalence, predict infection diseases and vector-spread diseases in big areas, study health service coverage and preparedness in emergencies, map cities and study urban health, study climate changes for decision making. Description of the Problem Specific skills and training are required to address the use of GIS and new sensing technologies.The specific aim of our study is to identify the professional profile of a new figure, called 'Geomatic Epidemiologist' and to define its professional and educational standards, as well as the relevant training programs. Results Data collection and analysis of INAPP and ESCO databases about existing professional profiles (starting from 2016) has allowed drafting a first qualification schema and profile. The profile has been defined according to the 4C model (elaborated by Univaq) distinguishing between Hard Skills (technical knowledge and skills),Soft Skills (cognitive, individual and social) and interpersonal behaviors. Conclusions Profile will be validated with relevant stakeholders and Public Health professionals in order to deepen the understanding of the main competences required to study health issues with GIS and related technologies; to this extent, a questionnaire has been elaborated to evaluate relevance, frequency and complexity of each component of the profile Key messages Developing cross-disciplinary profiles, (i.e. the Geomatic Epidemiologist) integrating clusters of competences (holistic approach). Public health research challenges and excellence.


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