Current practices in UAS-based environmental monitoring

Goran Tmušić, Salvatore Manfreda*, Helge Aasen, Mike R. James, Gil Gonçalves, Eyal Ben-Dor, Anna Brook, Maria Polinova, Jose Juan Arranz, János Mészáros, Ruodan Zhuang, Kasper Johansen, Yoann Malbeteau, Isabel Pedroso de Lima, Corine Davids, Sorin Herban, Matthew F. McCabe

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

175 Scopus citations

Abstract

With the increasing role that unmanned aerial systems (UAS) are playing in data collection for environmental studies, two key challenges relate to harmonizing and providing standardized guidance for data collection, and also establishing protocols that are applicable across a broad range of environments and conditions. In this context, a network of scientists are cooperating within the framework of the Harmonious Project to develop and promote harmonized mapping strategies and disseminate operational guidance to ensure best practice for data collection and interpretation. The culmination of these efforts is summarized in the present manuscript. Through this synthesis study, we identify the many interdependencies of each step in the collection and processing chain, and outline approaches to formalize and ensure a successful workflow and product development. Given the number of environmental conditions, constraints, and variables that could possibly be explored from UAS platforms, it is impractical to provide protocols that can be applied universally under all scenarios. However, it is possible to collate and systematically order the fragmented knowledge on UAS collection and analysis to identify the best practices that can best ensure the streamlined and rigorous development of scientific products.

Original languageEnglish
Article number1001
JournalRemote Sensing
Volume12
Issue number6
DOIs
StatePublished - 1 Mar 2020

Funding

FundersFunder number
European Cooperation in Science and TechnologyCA16219
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNRP 73, 407340_172433
King Abdullah University of Science and Technology
Universidad Autónoma de Sinaloa

    Keywords

    • Effective workflow
    • Environmental monitoring
    • Guidelines
    • UAS-based mapping

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