Abstract
Geospatial technology empowered by its own modern tools has contributed a lot for the benefit of humankind and society. In real world, geospatial technologies intersect with digital technologies for enabling many processes in several applications. Geospatial technologies and digital technologies although are self-driving but the cross linkages can help in solving many complex problems. The empowerment of geospatial technologies in conjunction with key Information and Communication Technologies (ICT) has not been widely pondered over. This paper discusses the influence and significance of geospatial technology and digital technologies in conjunction with one another. The paper is also one of the pioneers in discussing conjunction of all key digital technologies with geospatial in single work. Hardware founded technologies like Internet of Things (IoT), Wireless Sensor Networks (WSN), Robotics and Unmanned Aerial Vehicle (UAV) and software based technologies like Artificial Intelligence (AI), Machine Learning (ML), Data Science and Data Analytics are deliberated in this paper. Other than providing introduction to processes of these technologies, coalition of location parameter and related tools is discussed. The discussions of conjunction are further supported by well-established real life implementations in government or business sector.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adler L (2016) How smart city Barcelona brought the internet of things to life. https://datasmart.ash.harvard.edu/news/article/how-smart-city-barcelona-brought-the-internet-of-things-to-life-789. Last accessed 31 Jan 2022
Bhanumathi V, Kalaivanan K (2019) The role of geospatial technology with IoT for precision agriculture. In: Cloud computing for geospatial big data analytics. Springer, Cham, pp 225–25
Boulos MNK, Peng G, VoPham T (2019) An overview of GeoAI applications in health and healthcare. Int J Health Geogr 18(1):1–9
Brady OJ, Kharisma DD, Wilastonegoro NN, O’Reilly KM, Hendrickx E, Bastos LS et al (2020) The cost-effectiveness of controlling dengue in Indonesia using wMel Wolbachia released at scale: a modelling study. BMC Med 18(1):1–12
Cao L (2016) Data science and analytics: a new era. Int J Data Sci Anal 1(1):1–2
Chandrasekar A, Kutty MG (2013) Studies on the impacts of 3D-VAR assimilation of satellite observations on the simulation of monsoon depressions over India. In: Data assimilation for atmospheric, oceanic and hydrologic applications, vol 2. Springer, Berlin, Heidelberg, pp 643–705
Dutta A, Tannivar M, Hande B, Sengupta D, Maji A, Shree O, Sarkar M (2021) Robotic arm utilization in global covid-19 management. In: 2021 5th international conference on electronics, materials engineering & nano-technology (IEMENTech). pp 1–7
Baudoin Y, Habib MK (Eds) (2010) Using robots in hazardous environments: Landmine detection, de-mining and other applications. Elsevier
Fazio M, Puliafito A (2015) Cloud4sens: a cloud-based architecture for sensor controlling and monitoring. IEEE Commun Mag 53(3):41–47
Fink W, Dohm JM, Tarbell MA, Hare TM, Baker VR (2005) Next-generation robotic planetary reconnaissance missions: a paradigm shift. Planet Space Sci 53(14–15):1419–1426
GarcÃa RO, ValentÃn L, Serrano SA, Palacios-Alonso MA, Sucar LE (2017) Geovisualization for smart video surveillance. ISPRS Ann Photogramm, Remote Sens & Spat Inf Sciences 4
GIS in Defense Installation and Environmental Management: https://www.esri.com/content/dam/esrisites/sitecore-archive/Files/Pdfs/industries/defense/pdfs/gis-in-defense-installation.pdf. Last accessed 31 Jan 2022
Greenwood F, Nelson EL, Greenough PG (2020) Flying into the hurricane: A case study of UAV use in damage assessment during the 2017 hurricanes in Texas and Florida. PLoS ONE 15(2):e0227808
Haverkort BR, Zimmermann A (2017) Smart industry: How ICT will change the game! IEEE Internet Comput 21(1):8–10
https://www.areaverda.cat/en. Last accessed 31 Jan 2022
IBM: Industry Insights: 2.5 quintillion bytes of data created every day. How does CPG & Retail manage it? https://www.ibm.com/blogs/insights-on-business/consumer-products/2-5-quintillion-bytes-of-data-created-every-day-how-does-cpg-retail-manage-it/. Last accessed 31 Jan 2022
Jabbar WA, Alsibai MH, Amran NSS, Mahayadin SK (2018) Design and implementation of IoT-based automation system for smart home. In: 2018 International symposium on networks, computers and communications (ISNCC). pp 1–6
Janowicz K, Gao S, McKenzie G, Hu Y, Bhaduri B (2020) GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond. Int J Geogr Inf Sci 34(4):625–636
Kamilaris A, Ostermann FO (2018) Geospatial analysis and the internet of things. ISPRS Int J Geo Inf 7(7):269
Kochhar A, Kaur P, Singh P, Sharma S (2018) Protocols for wireless sensor networks: A survey. J Telecommun Inf Technol
Kucuk S (2020) Introductory chapter: Medical robots in surgery and rehabilitation. Med Robot-New Achievements
LaGrone N (2020) How geospatial technology and AI are transforming Medicine (2020). https://www.azavea.com/blog/2020/01/17/geospatial-technology-and-ai-transforming-medicine/. Last accessed 31 Jan 2022
Lau CH (2019) 5 steps of a data science project lifecycle. https://towardsdatascience.com/5-steps-of-a-data-science-project-lifecycle-26c50372b492. Last accessed 31 Jan 2022
Lella J, Mandla VR, Zhu X (2017) Solid waste collection/transport optimization and vegetation land cover estimation using Geographic Information System (GIS): A case study of a proposed smart-city. Sustain Cities Soc 35:336–349
Lwin KK, Sekimoto Y, Takeuchi W, Zettsu K (2019) City geospatial dashboard: IoT and big data analytics for geospatial solutions provider in disaster management. In: 2019 International conference on information and communication technologies for disaster management (ICT-DM). pp 1–4
Madakam S, Holmukhe RM, Jaiswal DK (2019) The future digital work force: robotic process automation (RPA). JISTEM-J Inf Syst Technol Management 16
Magrin CE., Del Conte G, Todt E (2021) Creating a digital twin as an open source learning tool for mobile robotics. In: 2021 Latin American Robotics Symposium (LARS), 2021 Brazilian Symposium on Robotics (SBR), and 2021 Workshop on Robotics in Education (WRE). pp 13–18
Maier D, Kleiner A (2010) Improved GPS sensor model for mobile robots in urban terrain. In: 2010 IEEE international conference on robotics and automation. pp 4385–4390
Malche T, Maheshwary P (2017) Internet of Things (IoT) for building smart home system. In: 2017 International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC). pp 65–70
Marr B (2018) How much data do we create every day? The mind-blowing stats everyone should read. https://www.forbes.com/sites/bernardmarr/2018/05/21/how-much-data-do-we-create-every-day-the-mind-blowing-stats-everyone-should-read/?sh=476778be60ba. Last accessed 31 Jan 2022
Merlin PW (2009) Ikhana: Unmanned aircraft system western states fire missions. National Aeronautics and Space Administration, Washington, D.C. (2009). https://history.nasa.gov/monograph44.pdf. Last accessed 31 Jan 2022
National Aeronautics and Space Administration: NASA Animates World Path of Smoke and Aerosols from Australian Fires (2020). https://www.nasa.gov/feature/goddard/2020/nasa-animates-world-path-of-smoke-and-aerosols-from-australian-fires. Last accessed 31 Jan 2022
Niu S, Luo Y, Dietze MC, Keenan TF, Shi Z, Li J, III FSC (2014) The role of data assimilation in predictive ecology. Ecosphere 5(5):1–16
Okwori M, Behfarnia A, Eslami A (2020) Towards microscale NFC-Enabled IoT sensors: Physical and MAC layer design analysis. IEEE Access. 8:88076–88084
Puiu D, Barnaghi P, Tönjes R, Kümper D, Ali MI, Mileo A, Parreira JX, Fischer M, Kolozali S, Farajidavar N et al (2016) Citypulse: Large scale data analytics framework for smart cities. IEEE Access. 4:1086–1108
Richly K, Teusner R, Immer A, Windheuser F, Wolf L (2015) Optimizing routes of public transportation systems by analyzing the data of taxi rides. In: Proceedings of the 1st international ACM SIGSPATIAL workshop on smart cities and urban analytics. pp 70–76
Rieke M, Bigagli L, Herle S, Jirka S, Kotsev A, Liebig T, Malewski C et al (2018) Geospatial IoT—The need for event-driven architectures in contemporary spatial data infrastructures. ISPRS Int J GeoInformation 7(10):385. https://doi.org/10.3390/ijgi7100385
Sajkowski M, Frania K, Stenzel T, Góral M (2021) Image processing based control system for wheeled mobile robots. In: 2021 IEEE 19th international power electronics and motion control conference (PEMC). pp 731–736
Saravanan R, Sujatha P (2018) A state of art techniques on machine learning algorithms: a perspective of supervised learning approaches in data classification. In: 2018 second international conference on intelligent computing and control systems (ICICCS). pp 945–949
Sharma P, Singh R, Srivastava A (2021) Analyzing the role of geospatial technology in smart city development. In: Geospatial technology and smart cities. Springer, Cham, pp 1–20
Sikder AK, Petracca G, Aksu H, Jaeger T, Uluagac AS (2018) A survey on sensor-based threats to internet-of-things (IoT) devices and applications. arXiv preprint arXiv:1802.02041
Singh R (2019) Where deep learning meets GIS. https://www.esri.com/about/newsroom/arcwatch/where-deep-learning-meets-gis/. Last accessed 31 Jan 2022
Sisinni E, Saifullah A, Han S, Jennehag U, Gidlund M (2018) Industrial internet of things: Challenges, opportunities, and directions. IEEE Trans Industr Inf 14(11):4724–4734
Snapdragon 820E embedded platform. https://www.qualcomm.com/media/documents/files/snapdragon-820e-embedded-platform-product-brief.pdf. Last accessed 31 Jan 2022
Stoyanova M, Nikoloudakis Y, Panagiotakis S, Pallis E, Markakis EK (2020) A survey on the internet of things (IoT) forensics: challenges, approaches, and open issues. IEEE Commun Surv & Tutorials 22(2):1191–1221
Tariq H, Abdaoui A, Touati F, Al-Hitmi MAE, Crescini D, Mnaouer AB (2020) Design and implementation of cadastral geo-spatial IoT network gateway analyzer for urban scale infrastructure health monitoring. In: 2020 10th annual computing and communication workshop and conference (CCWC). pp 0858–0863
Tostes AIJ, de LP Duarte-Figueiredo F, Assunção R, Salles J, Loureiro AA (2013) From data to knowledge: City-wide traffic flows analysis and prediction using bing maps. In: Proceedings of the 2nd ACM SIGKDD international workshop on urban computing. pp 1–8
Tuning the BALLADE geospatial infrastructure for plug-in electric vehicles. http://sensorsandsystems.com/tuning-the-ballade-geospatial-infrastructure-for-plug-in-electric-vehicles/. Last accessed 31 Jan 2022
VoPham T, Hart JE, Laden F, Chiang YY (2018) Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology. Environ Health 17(1):1–6
Wickramasinghe CS, Amarasinghe K, Marino DL, Rieger C, Manic M (2021) Explainable unsupervised machine learning for cyber-physical systems. IEEE Access. 9:131824–131843
Worthington TA, Andradi-Brown DA, Bhargava R, Buelow C, Bunting P, Duncan C et al (2020) Harnessing big data to support the conservation and rehabilitation of mangrove forests globally. One Earth. 2(5):429–443
Yu C, Helwig EJ (2021) The role of AI technology in prediction, diagnosis and treatment of colorectal cancer. Artif Intell Review:1–21
Yu X, Park SK, Lee YH (2013) Parameter estimation using an evolutionary algorithm for QPF in a tropical cyclone. In: Data assimilation for atmospheric, oceanic and hydrologic applications, vol 2. Springer, Berlin, Heidelberg, pp 707–715
Yucel I, Onen A, Yilmaz KK, Gochis DJ (2015) Calibration and evaluation of a flood forecasting system: Utility of numerical weather prediction model, data assimilation and satellite-based rainfall. J Hydrol 523:49–66
Zhang Z (2018) Artificial neural network. In: Zhang Z (ed) Multivariate time series analysis in climate and environmental research. Springer, Cham, pp 1–35. https://doi.org/10.1007/978-3-319-67340-0_1
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Kochhar, A., Patel, S., Singh, H., Litoria, P.K., Pateriya, B. (2024). Empowerment of Geospatial Technologies in Conjunction with Information and Communication Technologies (ICT). In: Shit, P.K., et al. Geospatial Practices in Natural Resources Management. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-38004-4_26
Download citation
DOI: https://doi.org/10.1007/978-3-031-38004-4_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-38003-7
Online ISBN: 978-3-031-38004-4
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)