oa Multispectral Index Change Detection for Groundwater Monitoring Borehole Localisations Using Google Earth Engine Interactive Application (By the Example of San River Basin)

References

1. Adhikari, R. K., Mohanasundaram, S., & Shrestha, S. (2020). Impacts of land-use changes on groundwater recharge in the Ho Chi Minh city, Vietnam.Environmental Research, 185, 109440. https://doi.org/10.1016/j.envres.2020.109440.
   [Google Scholar]
2. Amani, M., et al. (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, 5326–350. https://doi.org/10.1109/JSTARS.2020.3021052.
   [Google Scholar]
3. DavybidaL. (2022). Analysis of relationship between multispectral drought indices and groundwater levels in the Carpathian region (Ukraine).2022 International Conference of Young Professionals, GeoTerrace 2022. https://doi.org/10.3997/2214-4609.2022590027.
   [Google Scholar]
4. Davybida, L., Worsa-Kozak, M., Górniak-Zimroz, J., & Michalak, A. (2021). Spatial and Temporal Trend Analysis of Meteorological, Hydrological and Hydrogeological Data (by the Example of the San River Basin).Conference Proceedings International Conference of Young Professionals “GeoTerrace-2021”.https://doi.org/10.3997/2214-4609.20215K3039.
   [Google Scholar]
5. Elbeih, S. F., & El-Zeiny, A. M. (2018). Qualitative assessment of groundwater quality based on land use spectral retrieved indices: Case study Sohag Governorate, Egypt.Remote Sensing Applications: Society and Environment, 10, 82–92. https://doi.org/10.1016/j.rsase.2018.03.001.
   [Google Scholar]
6. Gorelick, N., Hancher, M., Dixon, M., et al. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone.Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031.
   [Google Scholar]
7. Liaqat, M. U., Mohamed, M. M., Chowdhury, R., Elmahdy, S. I., Khan, Q., & Ansari, R. (2021). Impact of land use/land cover changes on groundwater resources in Al Ain region of the United Arab Emirates using remote sensing and GIS techniques.Groundwater for Sustainable Development, 14. https://doi.org/10.1016/j.gsd.2021.100587.
   [Google Scholar]
8. Pham-Duc, B., Nguyen, H., Phan, H., et al. (2023). Trends and applications of Google Earth Engine in remote sensing and Earth science research: a bibliometric analysis using Scopus database.Earth Sci Inform, 16, 2355–2371. https://doi.org/10.1007/s12145-023-01035-2.
   [Google Scholar]
9. Seeyan, S., Shwan, M., Merkel, B., & Abo, R. (2014). Investigation of the Relationship between Groundwater Level Fluctuation and Vegetation Cover by using NDVI for Shaqlawa Basin, Kurdistan Region – Iraq.Journal of Geography and Geology, 6. https://doi.org/10.5539/jgg.v6n3p187.
   [Google Scholar]
10. Siddik, M. S., Tulip, S. S., Rahman, A., Islam, M. N., Haghighi, A. T., & Mustafa, S. M. T. (2022). The impact of land use and land cover change on groundwater recharge in northwestern Bangladesh.Journal of Environmental Management, 315, 115130. https://doi.org/10.1016/j.jenvman.2022.115130.
    [Google Scholar]