Multispectral UAV dataset for multi-temporal mangrove monitoring in the Cirebon Coastal Area, Indonesia (2025-2026).
6 affiliations
- 1Department of Marine, Faculty of Fisheries and Marine Sciences, Universitas Padjadjaran, Jatinangor, West Java, 45363, Indonesia.
- 2Center of Climate and Maritime Regional Management, Faculty of Fisheries and Marine Sciences, Universitas Padjadjaran, Jatinangor, West Java, 45363, Indonesia.
- 3Agro-Industrial Product Development, Politeknik Negeri Cilacap, Cilacap, Central Java, 53212, Indonesia.
- 4Blue Arc Global, South Jakarta, Jakarta, 12710, Indonesia.
- 5Korea-Indonesia Marine Technology Cooperation Research Center, Cirebon Center, West Java, 45611, Indonesia.
- 6Oceanography Study Program, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung, 40132, Indonesia.
Abstract
This article presents a multi-temporal unmanned aerial vehicle (UAV) multispectral dataset acquired over mangrove conservation patches in the Cirebon Coastal Area, West Java, Indonesia (Mundupesisir), covering two survey campaigns conducted on 5 May 2025 and 12 August 2026. Both campaigns employed a DJI Mavic 3 Enterprise Multispectral UAV, capturing four-band reflectance imagery (Green, Red, Red Edge, and Near-Infrared) alongside a high-resolution Red-Green-Blue (RGB) orthomosaic. The two campaigns covered the same Mundupesisir mangrove conservation area and were georeferenced using real-time kinematic (RTK) positioning, with ground control supported by nine primary RTK Rover control points expanded with additional points for image-by-image position correction. The dataset consists of calibrated single-band multispectral reflectance rasters in GeoTIFF format and compressed RGB orthomosaic composites in Enhanced Compressed Wavelet (ECW) format, each packaged as compressed archives (.rar) per campaign, together with Exchangeable Image File Format (EXIF) metadata and RTK control point coordinates. Data were processed using Pix4D v4.7.5 with consistent processing parameters applied across both campaigns. The collection supports vegetation index derivation, change detection, and validation of satellite-based mangrove monitoring approaches.
Related
- Fine-grained hierarchical crop type classification from integrated hyperspectral EnMAP data and multispectral sentinel-2 time series: A large-scale dataset and dual-stream transformer method
- Multi-temporal UAV multispectral phenotyping and machine learning for modeling cotton defoliation dynamics across diverse accessions
- Temporal and spatial variability in mudflat and mangrove foraminiferal eDNA communities in subtropical environments and their implication for sea-level reconstruction
- Rice multi-variety yield prediction using multi-temporal fusion of thermal infrared and multispectral UAV data based on random Forest feature selection
- Winter wheat yield prediction using temporal fusion of multispectral imagery and LiDAR point clouds acquired from a ground-based phenotyping platform
BibTeX
@article{abdurrahman2026multispectral,
title = {{Multispectral UAV dataset for multi-temporal mangrove monitoring in the Cirebon Coastal Area, Indonesia (2025-2026).}},
author = {Umar Abdurrahman and Mega Laksmini Syamsuddin and Subiyanto and Ismail Maqbul and Mochamad Rudyansyah Ismail and Athaurrahman Dzaky Wattiheluw and Muhamad Faqih Hidayatullah and Indrawan Fadhil Pratyaksa and Diyah Fatimah Oktaviani and Ivonne Milichristi Radjawane},
journal = {Data in brief},
year = {2026},
month = aug,
doi = {10.1016/j.dib.2026.113346},
url = {https://europepmc.org/article/MED/42926967},
note = {CC BY},
}
RIS
TY - JOUR
TI - Multispectral UAV dataset for multi-temporal mangrove monitoring in the Cirebon Coastal Area, Indonesia (2025-2026).
AU - Umar Abdurrahman
AU - Mega Laksmini Syamsuddin
AU - Subiyanto
AU - Ismail Maqbul
AU - Mochamad Rudyansyah Ismail
AU - Athaurrahman Dzaky Wattiheluw
AU - Muhamad Faqih Hidayatullah
AU - Indrawan Fadhil Pratyaksa
AU - Diyah Fatimah Oktaviani
AU - Ivonne Milichristi Radjawane
PY - 2026
DA - 2026/08/01
JO - Data in brief
DO - 10.1016/j.dib.2026.113346
UR - https://europepmc.org/article/MED/42926967
AB - This article presents a multi-temporal unmanned aerial vehicle (UAV) multispectral dataset acquired over mangrove conservation patches in the Cirebon Coastal Area, West Java, Indonesia (Mundupesisir), covering two survey campaigns conducted on 5 May 2025 and 12 August 2026. Both campaigns employed a DJI Mavic 3 Enterprise Multispectral UAV, capturing four-band reflectance imagery (Green, Red, Red Edge, and Near-Infrared) alongside a high-resolution Red-Green-Blue (RGB) orthomosaic. The two campaigns covered the same Mundupesisir mangrove conservation area and were georeferenced using real-time kinematic (RTK) positioning, with ground control supported by nine primary RTK Rover control points expanded with additional points for image-by-image position correction. The dataset consists of calibrated single-band multispectral reflectance rasters in GeoTIFF format and compressed RGB orthomosaic composites in Enhanced Compressed Wavelet (ECW) format, each packaged as compressed archives (.rar) per campaign, together with Exchangeable Image File Format (EXIF) metadata and RTK control point coordinates. Data were processed using Pix4D v4.7.5 with consistent processing parameters applied across both campaigns. The collection supports vegetation index derivation, change detection, and validation of satellite-based mangrove monitoring approaches.
SN - 2352-3409
ER -