Enhancing hydrological model efficiency through satellite image classification
Author:
Affiliation:
1. Dept.of Civil Eng., K.N. Toosi University of Technology, Tehran, Iran
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/02626667.2024.2397543
Reference31 articles.
1. Ahmad A. Sakidin H. Sari M. Y. A. & Sufahani S. F. (2021) Naïve Bayes classification of high-resolution aerial imagery. International Journal of Advanced Computer Science and Applications 12(11). Science and Information (SAI) Organization Limited.
2. Al-Doski J. Mansorl S. B. & Shafri H. Z. M. (2013) Image classification in remote sensing. Department of Civil Engineering Faculty of Engineering University Putra Malaysia 3(10).
3. Borah D. K. & Bera M. (2004) Watershed-scale hydrologic and nonpoint-source pollution models: Review of applications. Transactions of the ASAE 47(3) 789–803. American Society of Agricultural and Biological Engineers.
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