@inproceedings{806cde6ba96d44768de75aa746c3684f,
title = "The impact of M{\^a}nuka-dominated riparian on lake's water quality - a multi-source remote sensing approach",
abstract = "M{\^a}nuka trees in riparian plantings on lake banks can improve water quality and its ecosystem. In this study, we used multisource remote sensing data analysis on a m{\^a}nuka experiment plot in Lake Waikare catchment to understand the role of M{\^a}nuka trees in mitigating pollution and climate change effects. We evaluate experiment plots with and without M{\^a}nuka trees. We compare soil moisture sensors in both these areas and calculate soil water retention and soil loss.",
keywords = "remote sensing, soil loss, soil water retention, vegetation indices",
author = "Simna Rassak and Alvaro Orsi and Albert Bifet and Gines, \{Maria Jesus Gutierrez\} and Kristin Bohm and Wang, \{Kevin I.Kai\} and Akshat Bisht",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024 ; Conference date: 08-04-2024 Through 10-04-2024",
year = "2024",
month = jan,
day = "1",
doi = "10.1109/MIGARS61408.2024.10544620",
language = "English",
series = "2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024",
}
