Abstract
Mânuka 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 mânuka experiment plot in Lake Waikare catchment to understand the role of Mânuka trees in mitigating pollution and climate change effects. We evaluate experiment plots with and without Mânuka trees. We compare soil moisture sensors in both these areas and calculate soil water retention and soil loss.
| Original language | English |
|---|---|
| Title of host publication | 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350389678 |
| DOIs | |
| Publication status | Published - 1 Jan 2024 |
| Externally published | Yes |
| Event | 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024 - Wellington, New Zealand Duration: 8 Apr 2024 → 10 Apr 2024 |
Publication series
| Name | 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024 |
|---|
Conference
| Conference | 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024 |
|---|---|
| Country/Territory | New Zealand |
| City | Wellington |
| Period | 8/04/24 → 10/04/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- remote sensing
- soil loss
- soil water retention
- vegetation indices
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