References

Amani, M., Maharjan, S., Allahbakhshi, H., Nascetti, A., and Ghorbanzadeh, O., 2020. ‘Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review.’ IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, pp.5326-5350.

Alaska Satellite Facility, 2019. How do I interpret SAR images? Available at: https://asf.alaska.edu/information/sar-information/how-do-i-read-sar-images/ [Accessed 13 January 2024].

Appeaning Addo, K., 2013. Assessing Coastal Vulnerability Index to Climate Change: the Case of Accra – Ghana. In: Proceedings of the 12th International Coastal Symposium, Plymouth, England, Journal of Coastal Research, Special Issue No. 65, pp.1892-1897.

Appeaning Addo, K. & Appeaning Addo, I., 2016. Coastal erosion management in Accra: Combining local knowledge and empirical research. Jàmbá: Journal of Disaster Risk Studies, 8(1), p.274. Available at: https://jamba.org.za/index.php/jamba/article/view/274 [Accessed 31 Jan. 2024].

Appeaning Addo, K., Walkden, M. & Mills, J.P., 2008. Detection, measurement and prediction of shoreline recession in Accra, Ghana. Journal of Photogrammetry and Remote Sensing, 63, pp.543–558.

Ayisi, E., 2022. As rising seas destroy Ghana’s coastal communities, researchers warn against a seawall-only solution. Mongabay. Available at: https://news.mongabay.com/2022/03/as-rising-seas-destroy-ghanas-coastal-communities-researchers-warn-against-a-seawall-only-solution/ [Accessed 31 Jan. 2024].

Bellini, V. et al., 2022. ‘Understanding basic principles of artificial intelligence: a practical guide for intensivists’, Acta Biomed, 93, p. 2022297.

Dellepiane, S., De Laurentiis, R. & Giordano, F., 2004. Coastline extraction from SAR images and a method for the evaluation of the coastline precision. Pattern Recognition Letters, 25(13), 1461-1470.

Dell’Acqua, F., and Gamba, P., 2003. Texture-Based Characterization of Urban Environments on Satellite SAR Images. IEEE Transactions on Geoscience and Remote Sensing, 41(1), pp. 153–159.

Donlon, C. et al., 2012. The Global Monitoring for Environment and Security (GMES) Sentinel-3 mission, Remote Sensing of Environment, årg. 120, s. 37–57.

Drone Survey Canada, n.d. Drone Survey & Aerial Survey Plant Variability. Available at: https://dronesurveycanada.ca/drone-survey-aerial-survey-plant-variability/ [Accessed 13 January 2024].

Evadzi, P.I.K., Zorita, E. & Hünicke, B., 2017. Quantifying and predicting the contribution of sea-level rise to shoreline change in Ghana: Information for coastal adaptation strategies. Journal of Coastal Research, 33(6), pp.1283–1291.

Fuladlu, K. & Altan, H., 2021. ‘Examining land surface temperature and relations with the major air pollutants: A remote sensing research in case of Tehran’, Urban Climate, 39, p. 100958.

GIS Geography, n.d. Remote Sensing Earth Observation Guide. Available at: https://gisgeography.com/remote-sensing-earth-observation-guide/ [Accessed 14 January 2024].

Goetz, S. J., Bunn, A. G., Fiske, G. J., & Houghton, R. A., 2005. Satellite-observed photosynthetic trends across boreal North America associated with climate and fire disturbance. Proceedings of the National Academy of Sciences, 102(38), 13521-13525.

“Ghana’s coastline, swallowed by the sea,” 2021. UNESCO Courier. Available at: https://courier.unesco.org/en/articles/ghanas-coastline-swallowed-sea [Accessed 31 Jan. 2024].

Government of Ghana Ministry of Local Government and Rural Development, 2012. National Urban Policy Framework. Available at: https://nupdb.urbanpolicyplatform.org/listings/Ghana [Accessed 31 Jan. 2024].

Gonzales, J., 2019. ‘How a sheriff in Brazil is using satellites to stop deforestation’. Available at: https://news.mongabay.com/2019/04/how-a-sheriff-in-brazil-is-using-satellites-to-stop-deforestation/ [Accessed 13 January 2024].

iMathWorks, n.d. How do electromagnetic waves wave. Available at: https://imathworks.com/physics/physics-how-do-electromagnetic-waves-wave/ [Accessed 13 January 2024].

Lan, Z. & Liu, Y., 2018. Study on multi-scale window determination for GLCM texture description in high-resolution remote sensing image geo-analysis supported by GIS and domain knowledge. ISPRS International Journal of Geo-Information, 7(5), pp.175.

Lu, D. & Weng, Q., 2007. A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing, 28(5), pp.823-870.

MacLachlan, A. et al., 2017. ‘Urban Growth Dynamics in Perth, Western Australia: Using Applied Remote Sensing for Sustainable Future Planning’, Land, 6(1), p. 9.

Ministry of Works and Housing, 2019. 2019 Meet-the-Press Highlights. Available at: https://www.mwh.gov.gh/wp-content/uploads/2019/05/MEET-THE-PRESS-high-light-web-1.pdf [Accessed 31 Jan. 2024].

Modern Ghana, n.d. Rising Sea Levels: How coastal dwellers in Accra are coping. Available at: https://www.modernghana.com/news/1103977/rising-sea-levels-how-coastal-dwellers-in-accra.html [Accessed 31 Jan. 2024].

Moro, L.D. et al., 2022. Geospatial Analysis with Landsat Series and Sentinel-3B OLCI Satellites to Assess Changes in Land Use and Water Quality over Time in Brazil, Sustainability, årg. 14, nr. 15, s. 9733.

Mulero-Martinez, R. et al., 2022. The Use of Sentinel-3 Altimetry Data to Assess Wind Speed from the Weather Research and Forecasting (WRF) Model: Application over the Gulf of Cadiz, Remote Sensing, årg. 14, nr. 16, s. 4036.

Munshi, T., 2013. Built form, Travel Behaviour, and Low Carbon Development in Ahmedabad, India. DOI: 10.13140/2.1.1217.9845.

Nativí-Merchán, S. et al., 2021. Coastal erosion assessment using remote sensing and computational numerical model. Case of study: Libertador Bolivar, Ecuador. Ocean & Coastal Management, 214, p.105894.

Núñez, J.M. et al., 2019. High-Resolution Satellite Imagery Classification for Urban Form Detection. Available at: https://www.intechopen.com/chapters/64971 [Accessed 16 March 2024].

Ogashawara, I., 2019. “The Use of Sentinel-3 Imagery to Monitor Cyanobacterial Blooms”. In: Environments, 6.6, p. 60.

Paul, R., Machado, P. & Small, C., 2013. Identifying multi-decadal changes of the Sao Paulo urban agglomeration with mixed remote sensing techniques: spectral mixture analysis and night lights.

Ravanelli, R., Nascetti, A., Cirigliano, R.V., Di Rico, C., Leuzzi, G., Monti, P., & Crespi, M., 2018. Monitoring the Impact of Land Cover Change on Surface Urban Heat Island through Google Earth Engine: Proposal of a Global Methodology, First Applications, and Problems. Remote Sensing, 10(1488). DOI:10.3390/rs10091488.

Shahtahmassebi, A.R. et al., 2021. Remote sensing of urban green spaces: A review, Urban Forestry & Urban Greening, årg. 57, s. 126946.

Soni, D., 2018. Estimation of Rainfall-Runoff in a Watershed Using Remote Sensing and GIS.

Spatial Post, 2023. Types of Platforms In Remote Sensing: A Comprehensive Guide. Available at: https://www.spatialpost.com/types-of-platforms-in-remote-sensing/#google_vignette [Accessed 13 January 2024].

Tanim, A.H., McRae, C.B., Tavakol-Davani, H., and Goharian, E., 2022. Flood Detection in Urban Areas Using Satellite Imagery and Machine Learning. Water, 14(7), p.1140. Available at: https://doi.org/10.3390/w14071140.

Tempfli, K. et al., 2009. Principles of remote sensing: an introductory textbook. Enschede: International Institute for Geo-Information Science and Earth Observation.

Toth, C., 2018. The Future of Remote Sensing: Harnessing the Data Revolution. GeoActa, 42(2), pp.1-6.

United Nations Development Programme, n.d. Sustainable Development Goals. Available at: https://www.undp.org/sustainable-development-goals [Accessed 31 Jan. 2024].

USGS, n.d. What is Radiometric Resolution? Available at: https://www.usgs.gov/faqs/what-radiometric-resolution [Accessed 14 January 2024].

Wang, J., Ge, Y., Heuvelink, G.B.M., Zhou, C., and Brus, D., 2012. “Effect of the Sampling Design of Ground Control Points on the Geometric Correction of Remotely Sensed Imagery.” International Journal of Applied Earth Observation and Geoinformation, 18(August), pp. 91–100.

Weng, Q. & Lu, D., 2008. A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis, United States. International Journal of Applied Earth Observation and Geoinformation, 10(1), s. 68–83.

Zawadzki, L. and Ablain, M., 2016. “Accuracy of the mean sea level continuous record with future altimetric missions: Jason-3 vs. Sentinel-3a”. In: Ocean Science, 12(1), pp. 9-18.

Zeng, Y. et al., 2022. Optical vegetation indices for monitoring terrestrial ecosystems globally. Remote Sensing Applications: Society and Environment, 3(7), pp.477–493.