Modeling of Total Suspended Solid based on Remote Sensing Reclamation Data of Teluk Lamong Port

Huda, Abiyani Choirul; Pratikto, Widi; Suntoyo, .; Dewi, Anggie V R; Putri, Destyariani Liana

doi:10.5220/0010047100370046

Cited by 1 publication

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“…This study aims to determine the impact of sedimentation based on the value and distribution of Total Suspended Solid (TSS) Muara Bengawan Solo Gresik with remote sensing satellite data technology (Huda et al, 2021). The usefulness of this research is expected to provide information for the development of infrastructure near the sea, as well as being able to know the level of water turbidity and know the thematic map of the distribution of Total Suspended Solids (TSS).…”

Section: Introductionmentioning

confidence: 99%

Comparison of Total Suspended Solids (TSS) in the estuary of the Bengawan Solo Gresik River using satellite image data

Sahid,

Zainab

2024

SLJIL

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Comparison of Total Suspended Solids (TSS) in Muara Bengawan Solo Gresik River Using Satellite Image Data. The estuary of the Bengawan Solo River, which is in Ujung Pangkah District, has undergone many changes every year. This is influenced by several factors, one of which is the process of settling (sedimentation) from the transport of material carried by river water along the watershed (DAS). Based on this background, efforts are needed to monitor the distribution of Total Suspended Solid (TSS) in the Bengawan Solo Gresik river estuary. The aim of this study is to determine the distribution of Total Suspended Solid (TSS) over 5 years to find the right formula to model the impact of this change, which can be addressed in the future. The method developed below is remote sensing technology with Landsat 8 satellite image data extracting digital number values that are converted into reflectance values to then find the optimal mathematical model algorithm with parameters from Total Suspended Solid (TSS). From the research that has been done, the following results are obtained: the red band reflectance has the best relationship value with TSS In Situ with an R square value of 0.0450. and the appropriate algorithm model for estimating TSS concentrations is the Linear model with the equation Y = 1311.3x + 447.93.

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Section: Introductionmentioning

confidence: 99%