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Eleven years of mangrove–mudflat dynamics on the mud volcano-induced prograding delta in east java, indonesia

Integrating uav and satellite imagery

Journal Article (2021)
Author(s)

Sebrian Mirdeklis Beselly (IHE Delft Institute for Water Education, TU Delft - Coastal Engineering, Brawijaya University)

Mick van der Wegen (Deltares, IHE Delft Institute for Water Education)

Uwe Grueters (Justus Liebig University Giessen)

Johan Reyns (Deltares, IHE Delft Institute for Water Education)

Jasper Dijkstra (Deltares)

Dano Roelvink (Deltares, TU Delft - Coastal Engineering, IHE Delft Institute for Water Education)

Research Group
Coastal Engineering
DOI related publication
https://doi.org/10.3390/rs13061084
More Info
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Publication Year
2021
Language
English
Research Group
Coastal Engineering
Issue number
6
Volume number
13
Article number
1084
Pages (from-to)
1-28
Downloads counter
423
Collections
Institutional Repository
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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.