Analysis of Sedimentation towards the Changes of Mangrove Area Using Multitemporal Remote Sensing Technology (A Case Study in Gresik Regency, East Java, Indonesia)

Bangun Muljo Sukojo, - Nurwatik, Nova Nurul Annisa

Abstract


Mangrove grows in coastal areas with the soil is resulted from the accumulation of mud substrate from the sedimentation process. Gresik Regency is a downstream area where the Bengawan Solo River flows, and there is the Java Sea that carries a lot of sediment material to the coast. As a result, sedimentation is forming new land increasingly that can be a place for mangroves to live. Therefore, in this study, the calculation of suspended sediment concentration and mangrove area in Gresik Regency during 2016-2019 uses Sentinel-2A satellite imagery. The purpose of these calculations is to determine the effect of sedimentation as suspended sediment on changes in the mangrove area. Mangrove area is obtained from the Maximum Likelihood supervised classification. While suspended sediment concentrations estimated from remote sensing data are obtained using four prior algorithms, they do not meet the specified accuracy requirement. This research shows that there have been changes in the mangrove area to increase and decrease during 2016-2019. The largest addition of area occurred in the period 2016-2017, which is 479.347 Ha, and the most reduction in the area occurred in the period 2018-2019, which is 534.087 Ha. The statistical test result proves that the suspended sediment as sedimentation affects the mangrove by 64.9% in the significance level of 5% or 95% confidence level.

Keywords


Mangrove; sentinel-2A; suspended sediment.

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References


S. P. Sari and D. Rosalina, “Mapping and Monitoring of Mangrove Density Changes on tin Mining Area,†Procedia Environ. Sci., vol. 33, pp. 436–442, 2016.

I. C. Feller, C. E. Lovelock, U. Berger, K. L. McKee, S. B. Joye, and M. C. Ball, “Biocomplexity in mangrove ecosystems,†Ann. Rev. Mar. Sci., vol. 2, no. 1, pp. 395–417, 2010.

M. D. Hossain and A. A. Nuruddin, “Review Article Soil and Mangrove : A Review,†J. Environ. Sci. Technol., vol. 9, no. 2, pp. 198–207, 2016.

A. L. Rakhmawati, “Sustainable Coastal Protection in Pasuruan City : Jetty Structure in Rejoso Estuary Sustainable Coastal Protection in Pasuruan City : Jetty Structure in Rejoso Estuary,†in IOP Conference Series: Earth and Environmental Science, 2019.

N. Anggraini, M. Hartuti, and S. Marpaung, “Pemantauan Distribusi Sedimentasi di Ujung Pangkah Kabupaten Gresik Menggunakan Data Landsat,†in Seminar Nasional Penginderaan Jauh, 2015, pp. 575–584.

N. Laili et al., “development of water quality parameter retrieval algorithms for estimating total suspended solids and chlorophyll-a concentration using landsat-8 imagery at poteran island water,†ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci., vol. 2, no. 2W2, pp. 55–62, 2015.

W. Li et al., “A comparison of land surface water mapping using the normalized difference water index from TM, ETM+ and ALI,†Remote Sens., vol. 5, no. 11, pp. 5530–5549, 2013.

S. Budhiman, T. W. Hobma, and Z. Vekerdy, “Remote sensing for Mapping TSM concentration in Mahakam Delta: an analytical approach,†13th Omi. Work. Valid. Appl. Satell. Data Mar. Resour. Conserv., no. January, pp. 5-1-5–14, 2004.

L. Indeswari, T. Hariyanto, and C. B. Pribadi, “Pemetaan Sebaran Total Suspended Solid ( TSS ) Menggunakan Citra Landsat Multitemporal dan Data In Situ ( Studi Kasus : Perairan Muara Sungai Porong, Sidoarjo,†J. Tek. ITS, vol. 7, no. 1, pp. C71–C72, 2018.

L. M. Jaelani and R. Y. Ratnaningsih, “Spatial and temporal analysis of water quality parameter using sentinel-2A data; Case study: Lake Matano and Towuti,†Int. J. Adv. Sci. Eng. Inf. Technol., vol. 8, no. 2, pp. 547–553, 2018.

T. Hariyanto, T. C. Krisna, C. B. Pribadi, A. Kurniawan, B. M. Sukojo, and M. Taufik, “Evaluation of Total Suspended Sediment (TSS) Distribution Using ASTER, ALOS, SPOT-4 Satellite Imagery in 2005-2012,†IOP Conf. Ser. Earth Environ. Sci., vol. 98, no. 1, 2017.

L. M. Jaelani, R. Limehuwey, N. Kurniadin, A. Pamungkas, E. S. Koenhardono, and A. Sulisetyono, “Estimation of Total Suspended Sediment and Chlorophyll-A Concentration from Landsat 8-Oli: The Effect of Atmospher and Retrieval Algorithm,†IPTEK J. Technol. Sci., vol. 27, no. 1, 2016.

L. M. Jaelani, B. Matsushita, W. Yang, and T. Fukushima, “An improved atmospheric correction algorithm for applying MERIS data to very turbid inland waters,†Int. J. Appl. Earth Obs. Geoinf., vol. 39, pp. 128–141, 2015.

G. Winarso and A. D. Purwanto, “Evaluation of Mangrove Damage Level Based on Landsat 8 Image,†Int. J. Remote Sens. Earth Sci., vol. 11, no. 2, p. 105, 2017.

J. R. Otukei and T. Blaschke, “Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms,†Int. J. Appl. Earth Obs. Geoinf., vol. 12, no. SUPPL. 1, pp. 27–31, 2010.

C. Liu, P. Frazier, and L. Kumar, “Comparative assessment of the measures of thematic classification accuracy,†Remote Sens. Environ., vol. 107, no. 4, pp. 606–616, 2007.

F. Nkomeje, “Comparative Performance of Multi-Source Reference Data to Assess the Accuracy of Classified Remotely Sensed Imagery: Example of Landsat 8 OLI Across Kigali City-Rwanda,†Int. J. Eng. Work. Kambohwell Publ. Enterp., vol. 4, no. 1, pp. 10–20, 2015.

S. Rauf, M. M. Pasra, and Yuliani, “Analysis of correlation between urban heat islands (UHI) with land-use using sentinel 2 time-series image in Makassar city,†IOP Conf. Ser. Earth Environ. Sci., vol. 419, no. 1, 2020.




DOI: http://dx.doi.org/10.18517/ijaseit.12.1.12286

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