About this document
2024 - May - Predictive Modelling of Water Clarity Based On Remote Sensing Data Using Artificial Neural Network A Case Study in Saguling Reservoir by firman is a document available to read on EtoBox.
This study presents a predictive modeling approach using Artificial Neural Network (ANN) to assess water clarity in Saguling Reservoir, Indonesia, utilizing remote sensing data. The ANN model demonstrated strong predictive capabilities, particularly during the rainy season, with R2 values of 0.94 and 0.83 for rainy and dry seasons, respectively. The research emphasizes the importance of sustainable water management and monitoring to address water quality challenges in the region.
- Author
- firman
- Language
- EN