Drone-Based Monitoring and Redirecting System

Kumar, Adarsh; Jain, Saurabh

doi:10.1007/978-3-030-63339-4_6

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…The legal and policy-related challenges of UAV technology need to receive sufficient attention and regulation. This involves addressing privacy protection, security concerns, data collection and usage, environmental protection, intellectual property ownership, and airspace management [62][63][64]. For future research, it is important to take into account the previous elements to strengthen regulation and control on the use of UAV technology [65].…”

Section: Validationmentioning

confidence: 99%

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

Cock

Vandeputte

Bruneel

et al. 2023

Drones

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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.

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