Quantifying Vegetation and Landscape Metrics with Hyperspatial Unmanned Aircraft System Imagery in a Coastal Oligohaline Marsh

Author:

Broussard Whitney P.ORCID,Visser Jenneke M.,Brooks Robert P.

Funder

University of Louisiana at Lafayette

Publisher

Springer Science and Business Media LLC

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics

Reference70 articles.

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2. Acosta, A., M.L. Carranza, and C.F. Izzi. 2005. Combining land cover mapping of coastal dunes with vegetation analysis. Applied Vegetation Science 8 (2): 133–138.

3. Ahmed, O.S., A. Shemrock, D. Chabot, C. Dillon, G. Williams, R. Wasson, and S.E. Franklin. 2017. Hierarchical land cover and vegetation classification using multispectral data acquired from an unmanned aerial vehicle. International Journal of Remote Sensing 38: 8–10.

4. American Society for Photogrammetry and Remote Sensing (ASPRS). 2015. ASPRS positional accuracy standards for digital geospatial data. Photogrammetric Engineering & Remote Sensing 81 (3): A1–A26.

5. Belluco, E., M. Camuffo, S. Ferrari, L. Modenese, S. Silvestri, A. Marani, and M. Marani. 2006. Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing. Remote Sensing of Environment 105 (1): 54–67.

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