EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 403 (2023) E3S Web Conf., 403 (2023) 06003 References
Open Access
Issue
E3S Web Conf.
Volume 403, 2023
XII International Scientific and Practical Forum “Environmentally Sustainable Cities and Settlements: Problems and Solutions” (ESCP-2023)
Article Number 06003
Number of page(s) 12
Section Ecological Cycle: Renewable Heat and Electricity, Waste Water, Vegetation and Cultivation
DOI https://doi.org/10.1051/e3sconf/202340306003
Published online 25 July 2023
  1. Huang, X., et al., Combining Pixel- and Object-Based Machine Learning for Identification of Water-Body Types From Urban High-Resolution Remote-Sensing Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015. 8: p. 1–14. [CrossRef] [Google Scholar]
  2. Anusha, B.N., et al., Geospatial approaches for monitoring and mapping of water resources in semi-arid regions of Southern India. Environmental Challenges, 2022. 8: p. 100569. [CrossRef] [Google Scholar]
  3. Li, J., et al., Satellite Detection of Surface Water Extent: A Review of Methodology. 2022. 14(7): p. 1148. [Google Scholar]
  4. Chen, C., et al., Extraction of Water Body Information from Remote Sensing Imagery While Considering Greenness and Wetness Based on Tasseled Cap Transformation. 2022. 14(13): p. 3001. [Google Scholar]
  5. Khare, D., et al., URBAN WATER RESOURCES MANAGEMENT FOR SUSTAINABLE DEVELOPMENT. Convergence, 2016. 13: p. 35–51. [Google Scholar]
  6. Nam, P.M.o.V., the approval of the adjustment of the general planning of hanoi city to 2020, Viet Nam. Decision, 1998. [Google Scholar]
  7. Nam, P.M.V., Regarding the approval of the construction planning of the Hanoi Capital region to 2020 and vision to 2050. Number: 490/QD-TTg Decision 2008. [Google Scholar]
  8. Li, L., et al., Water Body Extraction from Very High Spatial Resolution Remote Sensing Data Based on Fully Convolutional Networks. 2019. 11(10): p. 1162. [Google Scholar]
  9. Wu, W., et al., Two-Step Urban Water Index (TSUWI): A New Technique for High-Resolution Mapping of Urban Surface Water. 2018. 10(11): p. 1704. [Google Scholar]
  10. Billson, J., et al., Water Body Extraction from Sentinel-2 Imagery with Deep Convolutional Networks and Pixelwise Category Transplantation. 2023. 15(5): p. 1253. [Google Scholar]
  11. Read, J.M. and M. Torrado, Remote Sensing, in International Encyclopedia of Human Geography, R. Kitchin and N. Thrift, Editors. 2009, Elsevier: Oxford. p. 335–346. [CrossRef] [Google Scholar]
  12. Zhang, Z. and J.C. Moore, Chapter 4 - Remote Sensing, in Mathematical and Physical Fundamentals of Climate Change, Z. Zhang and J.C. Moore, Editors. 2015, Elsevier: Boston. p. 111–124. [CrossRef] [Google Scholar]
  13. Bijeesh, T.V. and K.N. Narasimhamurthy, Surface water detection and delineation using remote sensing images: a review of methods and algorithms. Sustainable Water Resources Management, 2020. 6(4): p. 68. [CrossRef] [Google Scholar]
  14. Acharya, T.D., et al. Change detection of lakes in Pokhara, Nepal using Landsat data. in Proceedings. 2016. MDPI. [Google Scholar]
  15. Albertini, C., Andrea Gioia, Vito Iacobellis, and Salvatore Manfreda Detection of Surface Water and Floods with Multispectral Satellites. Remote Sensing 2022. 14, no. 23: 6005. [CrossRef] [Google Scholar]
  16. Shen, G., et al., Water Body Mapping Using Long Time Series Sentinel-1 SAR Data in Poyang Lake. 2022. 14(12): p. 1902. [Google Scholar]
  17. Sun, T., et al., Mapping Prospective Areas of Water Resources and Monitoring Land Use/Land Cover Changes in an Arid Region Using Remote Sensing and GIS Techniques. 2022. 14(15): p. 2435. [Google Scholar]
  18. Ramaraju, A., et al., Spatial analysis of surface water quality in and around GHMC using GIS. 2015. [Google Scholar]
  19. Maguire, D.J., ArcGIS: General Purpose GIS Software System. 2008. [Google Scholar]
  20. Hay, G.J., Visualizing 3-D texture: a three dimensional structural approach to model forest texture. 1995. [Google Scholar]
  21. Blaschke, T., Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 2010. 65(1): p. 2–16. [CrossRef] [Google Scholar]
  22. Gamanya, R., P. De Maeyer, and M. De Dapper, Object-oriented change detection for the city of Harare, Zimbabwe. Expert Systems with Applications, 2009. 36(1): p. 571–588. [CrossRef] [Google Scholar]
  23. Liu, Y., et al., Review of remotely sensed imagery classification patterns based on object-oriented image analysis. Chinese Geographical Science, 2006. 16(3): p. 282–288. [CrossRef] [Google Scholar]
  24. McHugh, M., Interrater reliability: The kappa statistic. Biochemia medica : časopis Hrvatskoga društva medicinskih biokemičara / HDMB, 2012. 22: p. 276–282. [Google Scholar]
  25. Basu, A. and S. Das, Chapter 22 - Afforestation, revegetation, and regeneration: a case study on Purulia district, West Bengal (India), in Modern Cartography Series, G.S. Bhunia, et al., Editors. 2021, Academic Press. p. 497–524. [CrossRef] [Google Scholar]
  26. Ben-David, A., Comparison of classification accuracy using Cohen’s Weighted Kappa. Expert Systems with Applications, 2008. 34: p. 825–832. [CrossRef] [Google Scholar]
  27. Paul, S.S., Application of remote sensing and GIS analysis for investigating urbanization induced surface water body change in and around Dhaka city, Bangladesh. Proceedings of the 12th International Environmental Specialty Conference, Canadian Society for Civil Engineering, 2012. [Google Scholar]
  28. Rawat, J.S. and M. Kumar, Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Science, 2015. 18(1): p. 77–84. [CrossRef] [Google Scholar]
  29. Weng, Q.J.I.J.O.R.S., A remote sensing? GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. 2001. 22(10): p. 1999–2014. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.