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Assessment of Change in Urban Green Spaces Using Sentinel 2 MSI Data and GIS Techniques: A Case Study in Thanh Hoa City, Vietnam

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents the results of an assessment of change in urban green spaces in Thanh Hoa city (Vietnam). Sentinel 2 MSI data in 2015 and 2021 are used to calculate 3 parameters: percentage of green, weight of green types, and weight of proximity to green. These parameters are used to calculate the Weighted Urban Green Space Index (WUGSI). The final result shows the distribution of green space in the study area consisted of very high-quality green, high-quality green, moderate quality green, and low quality green. The obtained results show that the quality of urban green space in Thanh Hoa city has changed significantly in the period 2015-2021, in which the area with category “low quality green space” increased from 7.17% up to 9.48%; areas with category “very high-quality green space” reduced from 65.02% to 47.39%.
Rocznik
Tom
Strony
251--260
Opis fizyczny
Bibliogr. 17 poz., rys., tab.
Twórcy
  • Hanoi University of Mining and Geology, 18 Vien street, Hanoi, Vietnam
  • Le Quy Don Technical University, 236 Hoang Quoc Viet street, Hanoi, Vietnam
  • Le Quy Don Technical University, 236 Hoang Quoc Viet street, Hanoi, Vietnam
autor
  • Thu Dau Mot University, Binh Duong, Vietnam
Bibliografia
  • 1. Duong Thi Loi, Pham Anh Tuan, Gupta., K., 2015. Development of an index for assessment of urban green spacesat city level, International Journal of Remote Sensing Applications, 5: 78-88.
  • 2. Gupta, K., Kumar, P., Pathan, S.K., Sharma, K.P., 2012. Urban neighborhood green index – A measure of green space in urban areas, Landscape and Urban Planning, 105(3): 325-335
  • 3. Rouse J.W., Hass R.H., Schell, J.A., Deering, D.W., 1973. Monitoring vegetation systems in the Great Plains with ERTS. In: Earth Resources Technology Satellite-1 Symposium, 3, WashingtonDC, 309-317.
  • 4. As-syakur Abd. R., Adnyana, I.W., Arthana, I.W., Nuarsa, I.W., 2012. Enhanced built - up and bareness index (EBBI) for mapping built - up and bare land in an urban area, Remote Sensing, 4: 2957-2970.
  • 5. Trinh Le Hung, Le Thi Thu Ha, Le Duc Loc, Nguyen Thanh Long, 2021. A development of the Enhanced Built-up and Bareness Index (EBBI) based on combination of multi-resolution Landsat 8 and Sentinel 2 MSI images, Journal of Mining and Earth Sciences, 62(1): 1-9.
  • 6. Xu, H., 2008. A new index for delineating built-up land features in satellite imagery, International Journal of Remote Sensing, 29: 4269-4276.
  • 7. Zha, Y., Gao,J., Ni, S., 2003. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery, International Journal of Remote Sensing, 24(3): 583-594.
  • 8. Zhao, H., Chen, X., 2005. Use of Normalized Difference Bareness Index in quickly mapping bare areas from TM/ETM+, International Geoscience and Remote Sensing Symposium (IGARSS) 3, 1666-1668, DOI: 10.1109/IGARSS.2005.1526319.
  • 9. Le, H.Thu Thi, Hoang, L.Van and Nguyen, T.Van 2021. Object-oriented classification for land cover of North Thang Long Industrial area using Worldview-2 data (in Vietnamese). Journal of Mining and Earth Sciences. 62, 1 (Feb, 2021), 10-18. DOI:https://doi.org/10.46326/JMES.2021.62(1).02.
  • 10. Nguyen, N.Viet and Trinh, H.Le 2020. Determination of water quality parameters in the Tan Rai exploiting area (Lam Dong province) using Sentinel-2 MSI and Landsat 8 data (in Vietnamese). Journal of Mining and Earth Sciences. 61, 2 (Apr, 2020), 126-134. DOI:https://doi.org/10.46326/JMES.2020.61(2).14.
  • 11. Li, X., Meng, Q., Li, W., Zhang, C., Jansco, T., Mavromatis S., 2014. An explorative study on the proximity of buildings to green spaces in urban areas using remotely sensed imagery, Annals of GIS, 20(3): 193-203.
  • 12. https://thanhhoa.gov.vn/portal/Pages/default.aspx
  • 13. https://scihub.copernicus.eu/dhus/#/home
  • 14. Pahlevan, N., Sarkar, S., Franz, B., Balasubramanian, S., He, J., 2017. Sentinel-2 MultiSpectral Instrument (MSI) data processing for aquatic science applications: Demonstrations and validations, Remote Sensing of Environment, 201: 47-56.
  • 15. Meng, Q., Yu, Q., Li, X., 2014. Urban green space remote sensing retrieval with LIDAR and multispectral satellite data, Open GIS Conference, Szekesfehervar, Hungary.
  • 16. Saaty, T.L., 1970. How to make a decision: The Analytic Hierarchy Process, European Journal of Operational Research, 48: 9-26.
  • 17. Saaty, T.L., 2008. Decision making with the Analytic Hierarchy Process, International Journal of Services Sciences, 1(1): 83-98.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1fe5570a-4408-4b87-bf45-b5f732a37791
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