Print Email Facebook Twitter Eleven years of mangrove–mudflat dynamics on the mud volcano-induced prograding delta in east java, indonesia Title Eleven years of mangrove–mudflat dynamics on the mud volcano-induced prograding delta in east java, indonesia: Integrating uav and satellite imagery Author Beselly, S.M. (TU Delft Coastal Engineering; IHE Delft Institute for Water Education; Brawijaya University) van der Wegen, Mick (IHE Delft Institute for Water Education; Deltares) Grueters, Uwe (Justus Liebig University Giessen) Reyns, J.A.H. (IHE Delft Institute for Water Education; Deltares) Dijkstra, Jasper (Deltares) Roelvink, D. (TU Delft Coastal Engineering; IHE Delft Institute for Water Education; Deltares) Date 2021 Abstract This article presents a novel approach to explore mangrove dynamics on a prograding delta by integrating unmanned aerial vehicle (UAV) and satellite imagery. The Porong Delta in Indonesia has a unique geographical setting with rapid delta development and expansion of the mangrove belt. This is due to an unprecedented mud load from the LUSI mud volcanic eruption. The mangrove dynamics analysis combines UAV-based Structure from Motion (SfM) photogrammetry and 11 years (2009–2019) satellite imagery cloud computing analysis by Google Earth Engine (GEE). Our analysis shows unique, high-spatiotemporal-resolution mangrove extent maps. The SfM pho-togrammetry analysis leads to a 3D representation of the mangrove canopy and an estimate of mangrove biophysical properties with accurate height and individual position of the mangroves stand. GEE derived vegetation indices resulted in high (three-monthly) resolution mangrove coverage dynamics over 11 years (2009–2019), yielding a value of more than 98% for the overall, producer and consumer accuracy. Combining the satellite-derived age maps and the UAV-derived spatial tree structure allowed us to monitor the mangrove dynamics on a rapidly prograding delta along with its structural attributes. This analysis is of essential value to ecologists, coastal managers, and poli-cymakers. Subject Google Earth EngineMangrovesRemote sensingSfM PhotogrammetryUAV To reference this document use: http://resolver.tudelft.nl/uuid:c098bf6f-b04d-4dea-a6c9-7b6bcc6447fb DOI https://doi.org/10.3390/rs13061084 ISSN 2072-4292 Source Remote Sensing, 13 (6), 1-28 Part of collection Institutional Repository Document type journal article Rights © 2021 S.M. Beselly, Mick van der Wegen, Uwe Grueters, J.A.H. Reyns, Jasper Dijkstra, D. Roelvink Files PDF remotesensing_13_01084_v3.pdf 10.26 MB Close viewer /islandora/object/uuid:c098bf6f-b04d-4dea-a6c9-7b6bcc6447fb/datastream/OBJ/view