Mapping of Rhizophora stylosa in the Karimunjawa Mangrove Forest, Indonesia Using Spectral Reflectance Based on WorldView-2 Imagery
Penulis/Author
Prof. Muhammad Kamal, S.Si., M.GIS., Ph.D. (1); Dr.Sc. Sanjiwana Arjasakusuma, S.Si., M.GIS. (2)
Tanggal/Date
2025
Kata Kunci/Keyword
Abstrak/Abstract
Information regarding the species types and distribution of mangroves is essential for prioritizing biodiversity conservation and effective forest management. Remotely sensed data has been demonstrated to be a valuable tool in differentiating between mangrove and non-mangrove features. Nevertheless, the application of this data for the identification and mapping of specific mangrove species poses challenges, particularly when relying on field-based spectral reflectance measurements. This study seeks to achieve three primary objectives: (i) to collect spectral reflectance data for Rhizophora stylosa (Griff.) from field measurements, (ii) to develop a spectral library specifically for Rhizophora stylosa, and (iii) to map the distribution of this target species using WorldView-2 (WV-2) imagery. The spectral library for the targeted species was compiled utilizing a JAZ EL-350 portable field spectrometer, which operates across a wavelength range of 350 nm to 1024 nm. To ensure compatibility between the spectral data collected in the field and the WV-2 imagery, a spectral resampling technique was employed to standardize the number of spectral bands. Subsequently, the spectral angle mapper (SAM) algorithm was applied to the WV-2 imagery, using the resampled spectral data for Rhizophora stylosa to facilitate the spatial mapping of this species. The results indicate that Rhizophora stylosa can be effectively identified and mapped at an overall accuracy of 80% using both the spectral reflectance data obtained from field measurements and the WV-2 imagery. This study provides significant evidence supporting the feasibility of utilizing remote sensing data for the species-level mapping of mangroves based on the spectral reflectance characteristics of the targeted objects. By enhancing our understanding of mangrove species distribution, this research contributes to more informed conservation and management strategies for these vital ecosystems.
Bahasa Asli/Original Language
English
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
Kamal 2025 Mapping of Rhizophora stylosa in the Karimunjawa Mangrove Forest, Indonesia Using Spectral Reflectance Based on WorldView-2 Imagery.pdf
