Construction of an Orthophoto-Draped 3D Model and Classification of Intertidal Habitats Using UAV Imagery in the Galapagos Archipelago

Author:

De Cock Andrée1ORCID,Vandeputte Ruth1,Bruneel Stijn1ORCID,De Cock Laure2ORCID,Liu Xingzhen1ORCID,Bermúdez Rafael34ORCID,Vanhaeren Nina2,De Wit Bart2,Ochoa Daniel5,De Maeyer Philippe2ORCID,Gautama Sidharta67ORCID,Goethals Peter1

Affiliation:

1. Department of Animal Sciences and Aquatic Ecology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Ghent, Belgium

2. Department of Geography, Faculty of Sciences, Ghent University, 9000 Ghent, Belgium

3. Facultad de Ingeniería Marítima y Ciencias del Mar, Escuela Superior Politécnica del Litoral ESPOL, Guayaquil ECO90211, Ecuador

4. Galapagos Marine Research and Exploration, GMaRE, Joint ESPOL-CDF Program, Charles Darwin Research Station, Puerto Ayora 200102, Ecuador

5. Facultad de Ingeniería Eléctrica y Computación, Escuela Superior Politécnica del Litoral (ESPOL,) Campus Gustavo Galindo Km 30.5 Vía Perimetral, Guayaquil 090101, Ecuador

6. Department of Industrial Systems Engineering and Product Design, Ghent University, 9052 Ghent, Belgium

7. FlandersMake@UGent—Corelab ISyE, 3920 Lommel, Belgium

Abstract

Worldwide, an increasing number of marine islands suffer from various pressures on the environment, driven by climate change and increasing land demands. The Galapagos Archipelago is one of the most iconic group of islands, yet population growth and tourism have resulted in a rising need for efficient environmental monitoring of its fragile ecosystems, such as the intertidal zone which harbors diverse and unique fauna. The purpose of this study was to investigate the image classification opportunities for these intertidal habitats using Uncrewed Aerial Vehicle (UAV) imagery. The data for this research were collected in Puerto Ayora on Santa Cruz in August 2017, the most urbanized island of the Galapagos. An orthophoto, a digital elevation model (DEM), and an orthophoto-draped 3D model of the intertidal zone were obtained using image registration software. Based on the orthophoto, an initial classification of the intertidal zone was performed using the spectral angle mapper algorithm. A habitat map with four classes (water, sand, rock, and vegetation) was created with an overall classification accuracy of 77%, indicating the suitability of UAV high resolution aerial imagery for the classification of intertidal habitats. The developed method could be applied to map and monitor other coastal regions and islands systems.

Funder

VLIR-UOS Biodiversity Network Ecuador

Special Research Fund of UGent

VLIR-UOS Global Minds

FWO

CWO

VLIR-UOS

Publisher

MDPI AG

Subject

Artificial Intelligence,Computer Science Applications,Aerospace Engineering,Information Systems,Control and Systems Engineering

Reference65 articles.

1. Creel, L. (2003). Ripple Effects: Population and Costal Regions, Population Reference Bureau.

2. Interactions between coastal and marine ecosystems and human population systems: Perspectives on how consumption mediates this interaction;Curran;Ambio,2002

3. A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units;Sayre;J. Oper. Oceanogr.,2019

4. Vulnerability to climate change of islands worldwide and its impact on the tree of life;Veron;Sci. Rep.,2019

5. Disentangling the environmental impact of different human disturbances: A case study on islands;Steibl;Sci. Rep.,2019

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