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Remote sensing of mangroves using unmanned aerial vehicles: current state and future directions

Zimudzi , Edward and Sanders, Ian and Rollings, Nicholas and Omlin, Christian (2019) Remote sensing of mangroves using unmanned aerial vehicles: current state and future directions. Journal of Spatial Science, 64 . pp. 1-17. ISSN 1449-8596

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Mapping and identification of mangrove tree species have always played a crucial role in mangrove ecosystem conservation efforts, and several attempts have been made using remote sensing techniques for the acquisition of images and machine learning techniques for image processing with various levels of success. Remote sensing, combined with machine learning techniques have demonstrated ahighpotentialtomapandidentifytheseecosystems.Inthisresearch, we have conducted a systematic study with the goal of collecting all relevant research on mangrove species mapping and species identification using unmanned aerial vehicles (UAVs). Our objective is to understandcurrentresearchtopics,addressingthemethodsandtechniquesusedformangroveimagedataanalysis,researchgaps,andthe challengesandfuturedirectionsregardingmangrovespeciesmapping and identification from remote sensing images acquired using UAVs. This will assist future research directions in managing these most threatened and vulnerable mangrove ecosystems.

Item Type: Journal Article
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
G Geography. Anthropology. Recreation > GE Environmental Sciences
T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Geography, Earth Science and Environment
Depositing User: Nicholas Rollings
Date Deposited: 26 Jun 2019 02:53
Last Modified: 26 Jun 2019 02:54

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