Driven by Drones: Improving Mangrove Extent Maps Using High-Resolution Remote Sensing.
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Guerrero Martinez, Benigno
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This study investigated how different remote sensing techniques can be combined to accurately monitor mangroves. In this paper, we present a framework to use drone imagery to calculate correction factors which can improve the accuracy of satellite-based mangrove extent. We focus on semi-arid dwarf mangroves of Baja California Sur, Mexico, where the mangroves tend to be stunted in height and found in small patches, as well as larger forests. Using a DJI Phantom 4 Pro, we imaged mangroves and labeled the extent by manual classification in QGIS. Using ArcGIS, we compared satellite-based mangrove extent maps from Global Mangrove Watch (GMW) in 2016 and Mexico’s national government agency (National Commission for the Knowledge and Use of Biodiversity, CONABIO) in 2015, with extent maps generated from in situ drone studies in 2018 and 2019. We found that satellite-based extent maps generally overestimated mangrove coverage compared to that of drone-based maps. To correct this overestimation,.....
Sustainable Development Goals (SDG)14.5
Essential Ocean Variables (EOV)Mangrove cover and composition
Maturity LevelTRL 9 Actual system "mission proven" through successful mission operations (ground or space)
Best Practice TypeManual (incl. handbook, guide, cookbook etc)
CitationHsu, A.J.; Kumagai, J.; Favoretto, F.; Dorian, J.; Guerrero Martinez, B.; Aburto-Oropeza, O. (2020) Driven by Drones: Improving Mangrove Extent Maps Using High-Resolution. Remote Sensing,12:3986, 18pp DOI. http://dx.doi.org/10.3390/rs12233986
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