1Department of Oceanography, Faculty of Fisheries and Marine Sciences, Universitas Diponegoro, Indonesia
2Undergraduate Program of Oceanography, Faculty of Fisheries and Marine Science, Universitas Diponegoro, Indonesia
3Physical Oceanography Laboratory, Faculty of Science, University of the Ryukyus, Japan
4 Coastal Processes Research Group, Research Center for Oceanography, National Research and Innovation Agency, Indonesia
BibTex Citation Data :
@article{IK.IJMS56599, author = {Lilik Maslukah and M. Firouz Dimas Sadewo and Baskoro Rochaddi and Sugeng Widada and Anindya Wirasatriya and Ulung Jantama Wisha}, title = {Estimation of Suspended Particulate Matter Using Landsat 9 Imagery: Generating Algorithms and Spatio-Temporal Distributions}, journal = {ILMU KELAUTAN: Indonesian Journal of Marine Sciences}, volume = {29}, number = {1}, year = {2024}, keywords = {Algorithm; spatial analysis; Landsat 9; Banjir Kanal Timur}, abstract = { The fluctuation of suspended particulate matter (SPM) is essential to the biogeochemical cycle and ecological health of coastal waters. Anthropogenic activities potentially trigger an increase in SPM, so it needs to be monitored continuously. Spatial and temporal monitoring of SPM can be carried out cost-effectively with broad coverage using a remote sensing application. This study aims to build the SPM algorithm and estimate its temporal variability. The algorithm model in this study is based on an empirical formula between field data and reflectance data with the same acquisition. Water samples were taken from 100 stations in July 2022. Half were used for model building and the other for model validation. Suspended Particulate Matter was determined gravimetrically and estimated their temporal variability was based on Landsat 9 image records from December 2021 - November 2022. The results of the analysis show that the best algorithm for SPM estimation can be built based on coastal aerosol canals (B1), blue canals (B2), and green canals (B3) with the accuracy test result of (R 2 = 0.68; RMSE = 5.551 mg.L -1 ; MAPE= 7.07%; Bias= 0.28). The SPM temporal fluctuations were generally higher in the west monsoon and lowered in the east monsoon, ranging from 30 to 70 mg.L -1 . On the other hand, the spatial distribution shows a higher magnitude in the estuary than in the offshore waters, with a deviation of about 30 mg.L -1 . Regional authorities can use the results obtained to improve the management of coastal water quality and monitoring systems. }, issn = {2406-7598}, pages = {15--28} doi = {10.14710/ik.ijms.29.1.15-28}, url = {https://ejournal.undip.ac.id/index.php/ijms/article/view/56599} }
Refworks Citation Data :
The fluctuation of suspended particulate matter (SPM) is essential to the biogeochemical cycle and ecological health of coastal waters. Anthropogenic activities potentially trigger an increase in SPM, so it needs to be monitored continuously. Spatial and temporal monitoring of SPM can be carried out cost-effectively with broad coverage using a remote sensing application. This study aims to build the SPM algorithm and estimate its temporal variability. The algorithm model in this study is based on an empirical formula between field data and reflectance data with the same acquisition. Water samples were taken from 100 stations in July 2022. Half were used for model building and the other for model validation. Suspended Particulate Matter was determined gravimetrically and estimated their temporal variability was based on Landsat 9 image records from December 2021 - November 2022. The results of the analysis show that the best algorithm for SPM estimation can be built based on coastal aerosol canals (B1), blue canals (B2), and green canals (B3) with the accuracy test result of (R2 = 0.68; RMSE = 5.551 mg.L-1; MAPE= 7.07%; Bias= 0.28). The SPM temporal fluctuations were generally higher in the west monsoon and lowered in the east monsoon, ranging from 30 to 70 mg.L-1. On the other hand, the spatial distribution shows a higher magnitude in the estuary than in the offshore waters, with a deviation of about 30 mg.L-1. Regional authorities can use the results obtained to improve the management of coastal water quality and monitoring systems.
Article Metrics:
Last update:
Last update: 2024-12-11 19:29:54
Copy this form and after filling it, please send it to ijms@live.undip.ac.id:
COPYRIGHT TRANSFER STATEMENT
When this article is accepted for publication, its copyright is transferred to ILMU KELAUTAN Indonesian Journal of Marine Sciences, UNDIP. The copyright transfer covers the non exclusive right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature.
The author warrants that this article is original and that the author has full power to publish. The author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. In regard to all kind of plagiarism in this manuscript, if any, only the author(s) will take full responsibility. If the article is based on or part of student’s skripsi, thesis or dissertation, the student needs to sign as his/her agreement that his/her works is going to be published.
Title of article :...........................................................................................................................Name of Author(s) :...........................................................................................................................Author’s signature :...........................................................................................................................Date :...........................................................................................................................
View My Stats