PelaSIG, a QGIS plugin for marine megafauna census: application to the aerial ACCOBAMS Survey Initiative dataset

• Published in: Frontiers in Marine Science Vol. 10
• Main Authors: Nivière, Manon, Blanchard, Ariane, Jraifi, Oussama, Van Canneyt, Olivier, Dorémus, Ghislain, Spitz, Jérôme, Mansoux, Bruno, Panigada, Simone, Laran, Sophie
• Format: Journal Article
• Language: English
• Published: Lausanne Frontiers Research Foundation 23.01.2024; Frontiers Media; Frontiers Media S.A
• Subjects: Aerial surveying; Aquatic birds; Aquatic reptiles; Data exchange; Datasets; Design; Geographic information systems; Geographical information systems; GIS; Information systems; Life Sciences; line transect survey; Marine mammals; Megafauna; Open source software; plugin; Polls & surveys; QGIS; Quality control; Remote sensing; Seabirds; spatial ecology; Surveys; Turtles; GIS; line transect survey; plugin; QGIS; marine megafauna; QGIS plugin tools line transect survey spatial ecology GIS marine megafauna Mediterranean Sea; tools; spatial ecology; Mediterranean Sea
• ISSN: 2296-7745; 2296-7745
• DOI: 10.3389/fmars.2023.1270335

The distribution of wild animals and their monitoring over large areas raises many logistical and technical difficulties that hinder the collection of observation data. The use of Geographic Information Systems (GIS) has increased significantly in recent years. QGIS, an open-source GIS software dedicated to the processing of geospatial data, enables the development of dedicated plugins for specific workflows. The open-source PelaSIG plugin has been developed in Python for QGIS 3 to facilitate and standardise the different steps before and after distance sampling surveys. It brings together a set of tools for survey preparation, automatic data checking, visualisation and presentation of survey effort and sightings to provide an adapted workflow. This plugin is currently designed to process dedicated aerial datasets collected with the SAMMOA software during marine megafauna surveys (i.e., marine mammals, seabirds, elasmobranchs, sea turtles, etc.). Here, we first describe the different tools already available, and then, we present an application with the dataset from the aerial survey of the ACCOBAMS Survey Initiative (ASI) conducted in 2018 over the Mediterranean Sea and using a multi-target protocol.