This paper presents an exploratory research project in visualizing the seasonal change of meadows using repeat multispectral drone surveys and aerials. The research case study site is the Alabama Meadows, a series of meadow test plots within the southeastern United States. Meadows are characterized by their complex biodiversity of grasses and forbs, sensitivity to disturbance, and maintenance through prescribed fire and/or mowing. Often misunderstood because of their dramatic seasonal changes, the focus of this study seeks to promote deeper understanding of meadows through repeat photography. Repeat drone surveys using multispectral imagery (MSPI) were conducted over a single growing season in 2024 with the objective of capturing the seasonal shifts of meadows. MSPI was explored because of how the imagery can enhance the visibility of foliage through the reflectance of near-infrared light from chlorophyll-rich leaves, enabling detection of subtle changes in meadow composition. This study examines how landscape architects can harness MSPI to promote and enhance our understanding of seasonal changes in complex landscapes.
| Autor / Author: | Hu, Frank |
| Institution / Institution: | Auburn University, Alabama/USA |
| Seitenzahl / Pages: | 9 |
| Sprache / Language: | Englisch |
| Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 11-2026 |
| Tagung / Conference: | Digital Landscape Architecture 2026 – Cutting Edge |
| Veranstaltungsort, -datum / Venue, Date: | University College Dublin (UCD), Ireland 28-05-26 - 29-05-26 |
| Schlüsselwörter (de): | |
| Keywords (en): | Multispectral imagery, drone surveying, meadow ecology, repeat monitoring, aerial photography |
| Paper review type: | Full Paper Review |
| DOI: | doi:10.14627/537770079 |
Diese Website nutzt Cookies, um ihre Dienste anbieten zu können und Zugriffe zu analysieren. Dabei ist uns der Datenschutz sehr wichtig.
Legen Sie hier Ihre Cookie-Einstellungen fest. Sie können Sie jederzeit auf der Seite Cookie-Informationen ändern.