Geospatial modelling environment

Author / Affiliation / Email Article Menu Font Type: Arial Georgia Verdana Open AccessEditorial by Duccio Rocchini Fondazione Edmund Mach, Research and Innovation Centre, Department of Biodiversity and Molecular Ecology, GIS and Remote Sensing Unit, Via E. Mach 1, 38010 S. Michele allAdige (TN), Italy Submission received: 22 November 2013 / Accepted: 23 November 2013 / Published: 6 February 2014 Geospatial modeling is an approach to apply analysis to monitor environmental change over time considering different fields of re-search, including computer science, remote sensing, ecology, environmental science, life science, geography (see [1,2] for a critique).The special issue was instigated to publish straightforward research on the matter in order to stimulate further discussion on the potential of geospatial modelling. Both theoretical and empirical papers are part of the issue with the support of the International Society for Photogrammetry and Remote Sensing, promoting an advanced forum for the science and technology of geographic information.Due to the complexity of the theme being treated, the final issue composes seven heterogeneous and stimulating papers on geospatial monitoring and modeling of environmental change.Table 1 attempts to summarize the focus of each of the articles published. Table 1. Summary of the papers published in the special issue. Table 1. Summary of the papers published in the special issue. First AuthorMain FrameThemeRef.Stuart Greenagriculturea novel 2D ranked pair plot of coordinates to show and analyze the geographic distribution of farms [3]Ludovico Fratelandscape ecologynatural forest e-growth analyzed by midpoint displacement algorithms[4]Pietro Zambellicomputer sciencePyGRASS library as an object-oriented Python Programming Interface (API) for Geographic Resources Analysis Support System (GRASS) Geographic Information System (GIS)[5]Shivani Agarwalurban ecologyapplication of multi-spectral GeoEye imagery for mapping urban tree species [6]Carlo Ricottalandscape ecologyapplication of the Rao quadratic diversity for multiscale analysis of land use changes[7]Matteo Abratecomputer scienceweb based services to digitally preserve historical aerial photographs[8]Mehul Bhattcomputer scienceconceptual models for representing geospatial events and their changes over time[9] Multitemporal environmental change is analyzed in very different manners in these papers covering both computer-science [5,8,9] and ecological/environmental main fields of research [3,4,6,7].The special issue included authors from 11 different institutions from the following countries: Germany, India, Ireland, Italy, Sweden, and USA. I am grateful to the whole Editorial office of the ISPRS International Journal of Geo-Information and to all the reviewers who supported the special issue with their skills, ensuring robust and challenging papers which will stimulate further discussion on geospatial monitoring and modelling of environmental change. Conflict of

Switch To Hindi --> 30 Jul 2022 7 min read For Prelims: Geospatial sector of India, Remote Sensing, GIS (Geographic Information System), GNSS (Global Navigation Satellite System), 3D modelling, New guidelines for the Geo-Spatial Sector in IndiaFor Mains: Geospatial sector of India - Challenges and Opportunities, Significance of Liberalisation in the Geospatial SectorWhy in News?Google Street View is launched in ten cities of India under the Guidelines of the National Geospatial Policy (NGP), 2021.NGP 2021 lets Indian companies collect map data and license it to others.What is Google Street View?About:Google Street View is an immersive 360-degree view of a location captured using special cameras mounted on vehicles or on backpacks by data collectors moving around the city streets.The images are then patched together to create 360-degree view which users can swipe through to get a detailed view of the location.It is available to view on Android and iOS using the app, or as a web viewer.Restrictions:Street View in India is not allowed for restricted areas like government properties, defence establishments and military areas.This means in a place like Delhi, the cantonment area will be out of bounds for Street View.Issues with Street View:Over the years a lot of privacy and other issues have been raised regarding Street View.A lot of these stem from people’s faces and other identifiable aspects, like car number plates and house numbers, being captured by the camera and being misused in different ways.There have also been security concerns about this kind of view being available, especially for sensitive locations.Along with India, Google has had issues with the local authorities in countries like Austria, Australia and Germany, though it has come back in most of these locations.What is National Geospatial Policy 2021?About:The National Geospatial Policy, 2021 liberalises the geospatial sector and democratises the datasets generated by use

Involved in any profitable organization or company that has any financial interest.ReferencesAzhar, H.; Mohammed, S.; Mohammed, L.A. Simulation of Floods in Delhi Segment of River Yamuna Using HEC-RAS. Am. J. Water Resour. 2018, 6, 162–168. [Google Scholar]Singh, S.K.; Kanga, S.; Đurin, B.; Kranjčić, N.; Chaurasia, R.; Markovinović, D. Flood risk modeling using HEC-RAS and geospatial techniques. E-ZBORNIK Electron. Collect. Pap. Fac. Civ. Eng. 2021, 11, 20–36. [Google Scholar] [CrossRef]Hamed, Y.; Hadji, R.; Redhaounia, B.; Zighmi, K.; Bâali, F.; El Gayar, A. Climate impact on surface and groundwater in North Africa: A global synthesis of findings and recommendations. Euro-Mediterr. J. Environ. Integr. 2018, 3, 1–15. [Google Scholar] [CrossRef] [Green Version]Hamed, Y.; Hadji, R.; Ncibi, K.; Hamad, A.; Ben Saad, A.; Melki, A.; Khelifi, F. Modelling of potential groundwater artificial recharge in the transboundary Algero-Tunisian Basin (Tebessa-Gafsa): The application of stable isotopes and hydroinformatics tools. Irrig. Drain. 2022, 71, 137–156. [Google Scholar] [CrossRef]Ashley, S.T.; Ashley, W.S. Flood fatalities in the United States. J. Appl. Meteorol. Climatol. 2008, 47, 805–818. [Google Scholar] [CrossRef]Seyedeh, S.; Thamer, A.; Mahmud, A.; Majid, K.; Amir, S. Integrated Modelling for Flood Hazard Mapping Using Watershed Modelling System. Am. J. Eng. Appl. Sci. 2008, 1, 149–156. [Google Scholar]Stefanidis, S.; Stathis, D. Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP). Nat. Hazards 2013, 68, 569–585. [Google Scholar] [CrossRef]IRFC. World Disasters Report; International Federation of Red Cross and Red Crescent Societies: Paris, France; Imprimerie Chirat: Lyon, France, 2003. [Google Scholar]ARDC. Natural Disaster Data Book

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