UAV and satellite remote sensing for inland water quality assessments: a literature review
Author:
Funder
NOAA
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10661-024-12342-6.pdf
Reference164 articles.
1. Abdelmalik, K. W. (2018). Role of statistical remote sensing for inland water quality parameters prediction. The Egyptian Journal of Remote Sensing and Space Science, 21(2), 193–200. https://doi.org/10.1016/J.EJRS.2016.12.002
2. Ansper, A., & Alikas, K. (2018). Retrieval of chlorophyll a from Sentinel-2 MSI data for the European union water framework directive reporting purposes. Remote Sensing, 11(1), 64. https://doi.org/10.3390/RS11010064
3. Arias-Rodriguez, L. F., Duan, Z., Díaz-Torres, J.d.J., Basilio Hazas, M., Huang, J., Kumar, B.U., . . . Disse, M. (2021). Integration of remote sensing and Mexican water quality monitoring system using an extreme learning machine. Sensors, 21(12), 4118. https://doi.org/10.3390/s21124118
4. Avdan, Z. Y., Kaplan, G., Goncu, S., & Avdan, g. (2019). Monitoring the water quality of small water bodies using high-resolution remote sensing data. ISPRS International Journal of Geo-Information, 8(12), 553. https://doi.org/10.3390/IJGI8120553
5. Banerjee, S., & Shanmugam, P. (2021). Novel method for reconstruction of hyperspectral resolution images from multispectral data for complex coastal and inland waters. Advances in Space Research, 67(1), 266–289. https://doi.org/10.1016/J.ASR.2020.09.045
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