Comparison of UAV and WorldView-3 Imagery for Mangrove Species Mapping in Mundupesisir Coastal, Cirebon
Muhamad Faqih Hidayatullah (a*), Umar Abdurrahman (a), Indrawan Fadhil Pratyaksa (a), Mochamad Riam Badriana (a), Chung Kyun Jeon (a, b), Ivonne Milichristi Radjawane (a, c), Han San Park (a,b)

a) Korea-Indonesia Marine Technology Cooperation Research Center (MTCRC), Cirebon Center, Indonesia
*E-mail: faqihhidayatullah[at]mtcrc.center

b) Korea Institute of Ocean Science and Technology, Busan, Korea
c) Faculty of Earth Science and Technology, Bandung Institute of Technology, Bandung, Indonesia

Abstract

One of the efforts for monitoring and managing mangrove areas is mapping the mangrove areas in Cirebon at the species level. This aims to explore the potential and efforts for rehabilitation, as well as an inventory of the biodiversity of mangrove areas in Cirebon, one of which is in Mundupesisir Village. Moreover, mapping of mangrove species in Cirebon is rarely studied. Therefore, the study site was located in the mangrove Kasih Sayang area, Mundupesisir Village, Cirebon Regency, West Java. High resolution remote sensing data can be used to more efficiently map mangrove species. The approach that can be used is the Geographic Object-Based Imagery Analysis (GEOBIA) method. This research aims to (1) map mangrove species using Unmanned Aerial Vehicle (UAV) data, (2) map mangrove species using WorldView-3 imagery data, and (3) compare the accuracy assessment values of mangrove species mapping results between UAV data and WorldView-3 imagery. UAV data (0.1 m) has a visible image (RGB) band, while WorldView-3 (0.5 m) is a multispectral image that has 8 bands. Field data collection was obtained and collected at purposive random sampling to identify different species based on their physical characteristics. The GEOBIA approach used includes segmentation and classification processes. The segmentation algorithm was used multiresolution segmentation. While the classification was used the Nearest Neighbor algorithm based on segmentation results. The results of GEOBIA approach successfully mapped three dominant species in the mangrove Kasih Sayang area, Mundupesisir, Cirebon, namely Avicennia marina, Rhizophora mucronata, and Acrostichum aureum.

Keywords: Mangrove species, Cirebon coastal area, WorldView-3, UAV, GEOBIA

Topic: Ocean Remote Sensing and Marine Technology