University of Twente Student Theses
Effect of Segmentation Parameters and Spatial Resolution in Segmentation Accuracy and Landscape Heterogeneity Indices derived from UAV Imagery
Manivannan, Ganavarshini (2024) Effect of Segmentation Parameters and Spatial Resolution in Segmentation Accuracy and Landscape Heterogeneity Indices derived from UAV Imagery.
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| Abstract: | The growing rate of biodiversity loss highlights the importance of effective conservation initiatives, such as rewilding, to restore and preserve natural landscapes. Accurate land cover mapping is essential for these initiatives, as it helps to identify and understand landscape structures. This research focuses on analyzing the impact of shape and compactness on segmentation accuracy and the effect of spatial resolution on land cover classification accuracy. It also evaluates the sensitivity of landscape heterogeneous indices across various resolutions. The study findings indicate optimal segmentation parameterization of shape and compactness values, yielding the highest segmentation accuracy. High-resolution UAV imagery outperformed lower resolutions with a high segmentation accuracy. This high-resolution imagery captures fine-scale landscape features necessary for accurate classification and effective conservation planning. The study highlights a significant improvement in classification accuracy with higher-resolution UAV imagery. Furthermore, the study found that the values of landscape heterogeneity indices are sensitive to different spatial resolutions. Higher-resolution images provided a detailed understanding of landscape structure, capturing subtle variations critical for conservation efforts. Implementing these methodologies across different ecosystems can generalize and adapt this approach to various environmental monitoring projects. Keywords: UAV, Multi-Resolution Segmentation, Segmentation Accuracy, Segmentation Accuracy Metrics, Land Cover classification, Classification Accuracy, Spatial Resolution, Landscape Heterogeneity Indices, Environmental Monitoring. |
| Item Type: | Essay (Master) |
| Faculty: | ITC: Faculty of Geo-information Science and Earth Observation |
| Subject: | 43 environmental science, 50 technical science in general |
| Programme: | Geoinformation Science and Earth Observation MSc (75014) |
| Link to this item: | https://purl.utwente.nl/essays/101018 |
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