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Estimating mussel mound distribution and geometric properties in coastal salt marshes by using UAV-Lidar point clouds.

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第一作者： Daniele,Pinton

第一单位： Department of Civil and Coastal Engineering, University of Florida, PO Box 116580, Gainesville 32611, FL, USA. Electronic address: daniele.pinton@ufl.edu.

作者： Daniele,Pinton ^[1] ; Alberto,Canestrelli ^[2] ; Sydney,Williams ^[3] ; Christine,Angelini ^[4] ; Benjamin,Wilkinson ^[5]

作者单位： Department of Civil and Coastal Engineering, University of Florida, PO Box 116580, Gainesville 32611, FL, USA. Electronic address: daniele.pinton@ufl.edu. ^[1] Department of Civil and Coastal Engineering, University of Florida, PO Box 116580, Gainesville 32611, FL, USA. Electronic address: alberto.canestrelli@essie.ufl.edu. ^[2] Department of Environmental Engineering Sciences, University of Florida, PO Box 116580, Gainesville 32611, FL, USA. Electronic address: sydney.williams@ufl.edu. ^[3] Department of Environmental Engineering Sciences, University of Florida, PO Box 116580, Gainesville 32611, FL, USA. Electronic address: christine.angelini@essie.ufl.edu. ^[4] School of Forest Resources and Conservation, University of Florida, PO Box, Gainesville 32611, FL, USA. Electronic address: benew@ufl.edu. ^[5]

关键词 Coastal restoration Geukensia demissa Green infrastructure Light Detection and Ranging (Lidar)Mussel mounds Random Forest Remote sensing Ribbed mussels Salt marshes Unmanned Aerial Vehicle (UAV)

医学主题词动物(Animals);湿地(Wetlands);生物多样性(Biodiversity);无脊椎动物(Invertebrates);贻贝科(Mytilidae);时间因素(Time Factors);生态系统(Ecosystem)

DOI 10.1016/j.scitotenv.2023.163707

PMID 37105489

发布时间 2023-06-05

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