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Delving into Geospatial Data Services: Monitoring Earth for Covid-19 Impact Measure and Decision Making
Abstract
Geospatial technologies are crucial for many applications and can facilitate decision-making to benefit society. When the Covid-19 pandemic restricted most of the services, geospatial technologies like satellite remote sensing, geographical information systems, and other allied technologies were found essential. They speed up many critical decision-making processes in the fight against the pandemic. This paper explores the significant contributions from the geospatial aspects throughout the pandemic in various research domains. The potential applications of geospatial technology to assist humanity during the pandemic are thoroughly examined. We categorized the entire study into i) environmental monitoring services, ii) disease control and management services, and iii) forecasting and decision-making services. Many valuable findings are derived based on the systematic review of some remarkable works. The outcome helps us understand how decision-making and forecasting are essential in the fight against the pandemic, with profound implications for future multidisciplinary research using geospatial technology.
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Shruti Kanga, Gowhar Meraj, Sudhanshu, Majid Farooq, M. S. Nathawat, and Suraj Kumar Singh. (2021). "Analysing the Risk to COVID‐19 Infection using Remote Sensing and GIS." Risk Analysis. 41(5), 801-813, doi.org/10.1111/risa.13724.
Swapan Talukdar et al. (2020). "Modelling the Global Air Quality Conditions in Perspective of COVID-19 Stimulated Lockdown Periods using Remote Sensing Data." Research Square. doi:10.21203/rs.3.rs-70252/v1.
Qian Liu et al. (2020). "An Environmental Data Collection for COVID-19 Pandemic Research." MDPI, Data. 5(68), doi:10.3390/data5030068.
T. Lan, G. Shao, L. Tang, Z. Xu, W. Zhu, and L. Liu. (2021). "Quantifying Spatio-temporal Changes in Human Activities Induced by COVID-19 Pandemic using Daily Nighttime Light Data." IEEE Journal of Sel. Topics in Applied Earth Observations and Remote Sens. 14: 2740-2753, doi:10.1109/JSTARS.2021.3060038.
Cheng Fan et al. (2020). "The Impact of the Control Measures during the COVID-19 outbreak on Air Pollution in China." MDPI, Remote Sensing. 12: 1613, doi:10.3390/rs12101613.
Abirlal Metya, Panini Dagupta, Santanu Halder, S. Chakraborty, and Yogesh K. Tiwari. (2020). “COVID 19 Lockdowns Improve Air Quality in the South East Asian Regions as Seen by the Remote Sensing Satellites.” Special Issue on COVID 19 Aerosol Drivers, Impacts and Mitigation (IV). 20(8): 1772–1782.
Avid Roman-Gonzalez, Angel F. Navarro-Raymundo, and Natalia I. Vargas-Cuentas. (2020). "Air Pollution Monitoring in Peru Using Satellite Data During the Quarantine Due to COVID-19." IEEE Aerospace and Electronic Systems Magazine. 35(12), doi:10.1109/MAES.2020.3018895.
Gordana Kaplan, and Zehra Yigit Avdan. (2020). "Covid 19: Spaceborne Nitrogen Di-oxide over Turkey." Eskişehir Technical University Journal of Science and Technology, A- Applied Sciences and Engineering. 21(2): 251 - 255, doi:10.18038/Estubtda.724450.
Hasan Raja Naqvi, Manali Datta, Guneet Mutreja, Masood Ahsan Siddiqui, Daraksha Fatima Naqvi, and Afsar Raza Naqvi. (2021). "Improved Air Quality and Associated Mortalities in India under Covid-19 Lockdown." Environmental Pollution. 268: 115691, doi: 10.1016/j.envpol.2020.115691.
Y. Sathe, P. Gupta, M. Bawase, L. Lamsal, F. Patadia, and S. Thipse. (2021). "Surface and Satellite Observations of Air Pollution in India during COVID-19 Lockdown - Implication to Air Quality." Sustain Cities Society. 66: 102688, doi:10.1016/j.scs.2020.102688.
Filonchyk, M., Hurynovich, V., and Yan, H. (2021). “Impact of Covid-19 Lockdown on Air Quality in the Poland, Eastern Europe.” Environmental Research. 198: 110454, doi: 10.1016/j.envres.2020.110454.
Represa, N.S.; Della Ceca, L.S.; Abril, G.; García Ferreyra, M.F.; and Scavuzzo, C.M. (2021). "Atmospheric Pollutants Assessment during the COVID-19 Lockdown Using Remote Sensing and Ground-based Measurements in Buenos Aires, Argentina." Special Issue on COVID 19 Aerosol Drivers, Impacts and Mitigation (XI). 21(3), 200486, doi:10.4209/aaqr.2020.07.0486.
Zhao, X. et al. (2022). "Tropospheric and Surface Nitrogen Dioxide Changes in the Greater Toronto Area during the First Two Years of the COVID-19 Pandemic." MDPI, Remote Sensing. 14: 1625, doi: 10.3390/rs14071625.
Yasin F. Elshorbany, Hannah C. Kapper, Jerald R. Ziemke, and Scott A. Parr. (2021). "The Status of Air Quality in the United States during the COVID-19 Pandemic - A Remote Sensing Perspective." MDPI, Remote Sensing. 13, 369, doi:10.3390/rs13030369.
Lu, D.; Mao, W.; Zheng, L.; Xiao, W.; Zhang, L.; and Wei, J. (2021). "Ambient PM2.5 Estimates and Variations during COVID-19 Pandemic in the Yangtze River Delta using Machine Learning and Big Data." MDPI, Remote Sensing. 13: 1423, doi:10.3390/rs13081423.
Islam Abou El-Magd, and Naglaa Zanaty. (2020). "Impacts of Short-Term Lockdown during COVID-19 on Air Quality in Egypt." The Egyptian Journal of Remote Sensing and Space Sciences, doi:10.1016/j.ejrs.2020.10.003.
G. K. Moore. (1980). "Satellite Remote Sensing of Water Turbidity." Hydrol. Sci. Bull. 25(4), 407-421.
G. Tripathi, A. Chandra Pandey, and B. Ranjan Parida. (2020). "Spatio-Temporal Analysis of Turbidity in Ganga River in Patna, Bihar Using Sentinel-2 Satellite Data Linked with Covid-19 Pandemic." IEEE- India Geoscience and Remote Sensing Symposium (InGARSS). 29-32, doi:10.1109/InGARSS48198.2020.9358965.
Poonam Wagh, Jency M. Sojan, Sriram J. Babu, Renu Valsala, Suman Bhatia and Roshan Srivastav. (2020). "Indicative Lake Water Quality Assessment using Remote Sensing Images - Effect of COVID-19 Lockdown." MDPI, Water. 13(1): 73, doi:10.3390/w13010073.
Ali P. Yunus, Yoshifumi Masago, and Yasuaki Hijioka. (2020). "COVID-19 and Surface Water Quality- Improved Lake Water Quality during the Lockdown." Science of the Total Environment. 731, doi:10.1016/j.scitotenv.2020.139012.
Muduli et al. (2021). "Water Quality Assessment of the Ganges River during COVID 19 Lockdown." International Journal of Environmental Science and Technology. doi: 10.1007/s13762-021-03245-x.
Hanqiu Xu, Guangzhi Xu, Xiaole Wen, Xiujuan Hu, and Yifan Wang. (2021). "Lockdown Effects on Total Suspended Solids Concentrations in the Lower-Min River (China) during COVID-19 using Time Series Remote Sensing Images." International Journal of Applied Earth Observation and Geoinformation. 98: 102301, doi:10.1016/j.jag.2021.102301.
Priyank Pravin Patel, Sayoni Mondal, and Krishna Gopal Ghos. (2020). "Some Respite for India's Dirtiest River? Examining the Yamuna's Water Quality at Delhi during the Covid-19 Lockdown Period." Sci. Total Environ. 744: 140851. doi:10.1016/j.scitotenv.2020.140851.
Y. Wang et al. (2020). "Monitoring Crop-growth during the Period of the Rapid Spread of COVID-19 in China by Remote Sensing." IEEE Journal of Sel. Topics in Applied Earth Observations and Remote Sens. 13: 6195-6205, doi:10.1109/JSTARS.2020.3029434.
A T Hammad, G Falchetta, and I B M Wirawan. (2021). "Back to the fields? Increased Agricultural Land Greenness after a COVID-19 Lockdown." Environmental Research Community. 3: 051007, doi:10.1088/2215-7620/abffa4.
Saxena, S., Rabha, A., Tahlani, P.et al. (2021). "Crop Situation in India, Before, During, and After COVID-19 Lockdown - as Seen from the Satellite Data of ResourceSat-2 AWiFS." Journal of Indian Society of Remote Sensing. 49: 365–376, doi:10.1007/s12524-020-01213-5.
Ram Avtar, Deepak Singh, Deha Agus Umarhadi, et al. (2021). "Impact of Covid-19 Lockdown on the Fisheries Sector - A Case Study from Three Harbors in Western India." MDPI, Remote Sensing. 13: 183, doi:10.3390/rs13020183.
Alexandra Langford, Scott Waldron, Sulfahri, and Hasnawati Saleh. (2021). "Monitoring the COVID-19-Affected Indonesian Seaweed Industry using Remote Sensing Data." Marine Policy. 127: 104431, doi:10.1016/j.marpol.2021.104431.
Isaac Okyere et al. (2020). "Physical Distancing and Risk of COVID 19 in Small Scale Fisheries: A Remote Sensing Assessment in Coastal Ghana." Scientific Reports. 10:22407, doi:10.1038/s41598-020-79898-4.
Ahasan, R., and Hossain, M. M. (2021). “Leveraging GIS and Spatial Analysis for Informed Decision Making in COVID-19 Pandemic.” Health Policy and Technology. 10(1): 7–9, doi: 10.1016/j.hlpt.2020.11.009.
Zixin Hu, Qiyang Ge, Shudi Li, Li Jin, and Momiao Xiong. (2020). "Artificial Intelligence Forecasting of Covid-19 in China – Zixin." arXiv:2002.07112.
Nikolopoulos, K., Punia, S., Schäfers, A., Tsinopoulos, C., and Vasilakis, C. (2021). "Forecasting and Planning during a Pandemic- COVID-19 Growth Rates, Supply Chain Disruptions, and Governmental Decisions." European Journal of Operational Research. 290(1): 99–115, doi:10.1016/j.ejor.2020.08.001.
Yahya, BM, Yahya, FS and Thannoun, R.G. (2021). “COVID-19 Prediction Analysis using Artificial Intelligence Procedures and GIS Spatial Analyst- A Case Study for Iraq.” Applied Geomatics. doi:10.1007/s12518-021-00365-4.
Chenghu Zhou et al. (2020). "COVID-19: Challenges to GIS with Big Data." Geography and Sustainability. 1(1): 77-87, doi:10.1016/j.geosus.2020.03.005.
Yulu Chen, Rongjun Qin, Guixiang Zhang, and Hessah Albanwan. (2021). "Spatial-Temporal Analysis of Traffic Patterns during the Covid-19 Epidemic by Vehicle Detection using Planet Remote Sensing Satellite Images." MDPI, Remote Sensing. 13: 208, doi:10.3390/rs13020208.
Macioszek, E.; and Kurek, A. (2021). "Extracting Road Traffic Volume in the City Before and during Covid-19 through Video Remote Sensing." MDPI, Remote Sensing, 13, 2329. doi:10.3390/rs13122329.
Rodrigo Minetto, Maur´ıcio Pamplona Segundo, Gilbert Rotich, and Sudeep Sarkar. (2020). “Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemic.” IEEE Transactions on Big Data. 7, 56-68, doi:10.1109/TBDATA.2020.3032839.
Qian Liu et al. (2020). Spatio-temporal Patterns of COVID-19 Impact on Human Activities and Environment in Mainland China using Nighttime Light and Air Quality Data." MDPI, Remote Sensing. 12: 1576, doi:10.3390/rs12101576.
Christopher D. Elvidge, Tilottama Ghosh, Feng-Chi Hsu, Mikhail Zhizhin and Morgan Bazilian. (2020). "The Dimming of Lights in China during the COVID 19 Pandemic." MDPI, Remote Sensing. 12, 2851, doi:10.3390/rs12172851.
Andrea Pulella and Francescopaolo Sica. (2021). "Situational Awareness of Large Infrastructures Using Remote Sensing: The Rome–Fiumicino Airport during the COVID-19 Lockdown." MDPI, Remote Sensing. 13: 299, doi:10.3390/rs13020299.
William Straka III, Shobha K., Zigang W., Hai Z., Steven D. M. and Alexander W. (2021). "Examining the Economic and Environmental Impacts of Covid-19 using Earth Observation Data." MDPI, Remote Sensing. 13(1): 5, doi:10.3390/rs13010005.
R. Yin et al. (2020). "Night Time Light Imagery Reveals China's City Activity during the COVID-19 Pandemic Period in Early 2020." IEEE Journal of Sel. Topics in Applied Earth Observations and Remote Sens. 14: 5111-5122, doi:10.1109/JSTARS.2021.3078237.
Calabria et al. (2021). “Effects of the COVID-19 Lockdown on Urban Light Emissions- Ground and Satellite Comparison.” MDPI, Remote Sensing. 13(2): 258.
Sriram Babu Jallu, Riyaaz Uddien Shaik, Roshan Srivastav, and Gloria Pignatta. (2022). “Assessing the Effect Of Covid-19 Lockdown on Surface Urban Heat Island for Different Land Use /Cover Types Using Remote Sensing.” Energy Nexus, 5, 100056, doi:10.1016/j.nexus.2022.100056.
Shanableh, A. et al. (2022). "COVID-19 Lockdown and the Impact on Mobility, Air Quality, and Utility Consumption: A Case Study from Sharjah, United Arab Emirates." Sustainability, 14, 1767, doi:10.3390/su14031767.
Smith CD, and Mennis J. (2020). "Incorporating Geographic Information Science and Technology in Response to the COVID-19 Pandemic." Preventing Chronic Disease. 17: 200246, doi:10.5888/pcd17.200246.
Ahmed, N. et al. (2020). "A Survey of COVID-19 Contact Tracing Apps." IEEE Access. 8: 134577-134601, doi:10.1109/ACCESS.2020.3010226.
Shaoxiong Wang, Shuizi Ding, and Li Xion. (2020). "A New System for Surveillance and Digital Contact Tracing for COVID-19: Spatiotemporal Reporting Over Network and GPS." JMIR Mhealth Uhealth. 8(6): e19457, doi:10.2196/19457.
Huber M. (2020). "Drones Enlisted to Fight Corona Virus in China." General Aviation News - Aviation International News: https://www.ainonline.com/aviation-news/general-aviation/2020-02-07/drones-enlisted-fight-corona-virus-china.
Nunoo F. (2020). “Coronavirus Tips- How Ghana Dey use Drone Technology Fight Covid 19 Pandemic.” BBC News Pidgin - BBC News, https://www.bbc.com/pidgin/tori-52372336.
Reuters. (2020). "Ghana Turns to Drones to Enable Faster Coronavirus Testing." Reuters. https://www.reuters.com/article/us-health-coronavirus-ghana-drones/ghana-turns-to-drones-to-enable-faster-coronavirus-testing-idUSKBN2220H7.
Sri Anggraeni et al. (2020). "The Deployment of Drones in Sending Drugs and Patient Blood Samples Covid-19." Indonesian Journal of Science and Technology. 5(2): 193-200.
Sarfo, A.K., and Karuppannan, S. (2020). "Application of Geospatial Technologies in the COVID 19 Fight of Ghana." Trans Indian Natl. Acad. Eng. 5: 193–204, doi:10.1007/s41403-020-00145-3.
Hari Shankar Gangwar and P.K. Champati Ray. (2021). "Geographic Information System-based Analysis of COVID-19 Cases in India during Pre-lockdown, Lockdown, and Unlock Phases." International Journal of Infectious Diseases. 105: 424-435.
Jinha Jung, Murilo Maeda, Anjin Chang, Mahendra Bhandari, Akash Ashapure, and Juan Landivar-Bowles. (2021). "The Potential of Remote Sensing and Artificial Intelligence as Tools to Improve the Resilience of Agriculture Production Systems." Current Opinion in Biotechnology. 70: 15-22, doi:10.1016/j.copbio.2020.09.003.
Zhen, Z., Jin, J. M., and Liu, F. (2010). "The Application of Geographic Information System (GIS) in the Field of Public Health." In 2nd IITA International Conference on Geoscience and Remote Sensing. doi:10.1109/IITA-GRS.2010.5603111.
Shekh M. M. Islam, Francesco Fioranelli and Victor M. Lubecke. (2021). "Can Radar Remote Life Sensing Technology Help Combat COVID-19?" Frontiers in Communication Network. doi:10.3389/frcmn.2021.648181.
Nadia Abbaszadeh Tehrani, Abolfazl Mollalo, Farinaz Farhanj, Nooshin Pahlevanzadeh, and Milad Janalipour. (2021). "Time-Series Analysis of COVID-19 in Iran: A Remote Sensing Perspective." In book: COVID-19 Pandemic, Geospatial Information, and Community Resilience: Global Applications and Lessons. Taylor & Francis. doi: 10.1201/9781003181590.
Trupti Bhattacharjee and Indranil Bhattacharjee. (2021). "A Review: How Space Technology can Help in COVID-19 Pandemic (with Reference to Remote Sens. and GIS)." Journal of Remote Sensing & GIS. 10(3): 1000286.
Ivan Franch-Pardo, Brian M. Napoletano, Fernando Rosete-Verges, Lawal Billa. (2020). “Spatial Analysis and GIS in the Study of COVID-19 - A Review.” Science of The Total Environment. 739, 140033, doi:10.1016/j.scitotenv.2020.140033.
Dong E, Du H, and Gardner L. (2020). "An Interactive Web-based Dashboard to Track COVID-19 in Real Time." Lancet Infectious Disease. 20(5): 533–534.
Schmidtke, H.R. (2020). "Location-Aware Systems or Location-Based Services: A Survey with Applications to CoViD-19 Contact Tracking." Journal Reliable Intelligent Environment. 6: 191–214, doi:10.1007/s40860-020-00111-4.
Michael Hudecheck, Charlotta Sirén, Dietmar Grichnik, and Joakim Wincent. (2020). "Monitoring the COVID-19 Crisis from Space - A Comparison of Nighttime Light Emissions Across China, During the Early Months of COVID-19 Shows how Satellite Sensing Data can Provide Early Detection of Trouble." MIT Sloan Management Review.
Https://www.nasa.gov/feature/seeing-the-covid-19-pandemic-from-space.
DOI: http://dx.doi.org/10.52155/ijpsat.v37.2.5138
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