| Title |
Near-infrared reflectance thresholding for macrophyte identification in temperate lakes using Sentinel-2 |
| Authors |
Levachou, Yahor ; Stonevičius, Edvinas |
| DOI |
10.1017/S0376892925100167 |
| Full Text |
|
| Is Part of |
Environmental conservation.. Cambridge : Cambridge University Press. 2025, Early Access, p. [1-6].. ISSN 0376-8929. eISSN 1469-4387 |
| Keywords [eng] |
aquatic vegetation ; decision tree ; lake ecosystem ; macrophytes ; remote sensing |
| Abstract [eng] |
Macrophytes serve as indicators of aquatic ecosystem health and are often employed in monitoring the condition of water bodies. Traditionally, such observations are conducted in situ, but remote sensing offers a cost-effective and scalable alternative. Here, an algorithm for macrophyte detection using satellite data was created; we utilized clustering, with its results serving as target labels for building a machine-learning model. We developed a model for macrophyte identification using reflectance data in the near-infrared band during spring and summer. The derived algorithm, employing Sentinel-2 satellite reflectance data, enables the identification of open water, submerged and floating macrophytes and emergent macrophytes. This approach enhances the efficiency and applicability of macrophyte assessment, bridging the gap between field observations and remote sensing for comprehensive aquatic ecosystem monitoring. |
| Published |
Cambridge : Cambridge University Press |
| Type |
Journal article |
| Language |
English |
| Publication date |
2025 |
| CC license |
|
