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Journal : IPTEK The Journal for Technology and Science

Estimation of Total Suspended Sediment and Chlorophyll-A Concentration from Landsat 8-Oli: The Effect of Atmospher and Retrieval Algorithm Lalu Muhamad Jaelani; Resti Limehuwey; Nia Kurniadin; Adjie Pamungkas; Eddy Setyo Koenhardono; Aries Sulisetyono
IPTEK The Journal for Technology and Science Vol 27, No 1 (2016)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (710.683 KB) | DOI: 10.12962/j20882033.v27i1.1217

Abstract

Total Suspended Sediment (TSS) and Chlorophyll-a (Chl-a) are globally knows as a key parameters for regular seawater monitoring. Considering the high temporal and spatial variation of water constituent, remote sensing technique is an efficient and accurate method for extracting water physical parameter. A high accurate estimated data derived from remote sensing depends on an accurate atmospheric correction algorithm and physical parameter retrieval algorithms. In this research, we evaluated the accuracy of atmospheric corrected product of NASA as well as develop algorithms for estimating TSS and Chl-a concentration over Poteran and Gili Iyang island water using Landsat-8 OLI data. The data used in this study was collected from Poteran’s waters (9 stations) on April 22, 2015 and Gili Iyang’s waters (six stations) on October 15, 2015. Low correlation between in situ and Landsat Rrs(λ) (R2= 0.106) indicated that atmospheric correction algorithm performed by NASA has a limitation. The TSS concentration retrieval algorithm produced acceptable accuracy both over Poteran’s Waters (RE of 4.60% and R2 of 0.628) and over Gili Iyang’s waters (RE of 14.82% and R2 of 0.345). Although the R2 lower than 0.5, the relative error was more accurate than the minimum requirement of 30%. Whereas, The Chl-a concentration retrieval algorithm produced acceptable result over Poteran (RE of 13.87% and R2 of 0.416) and failed over Gili Iyang’s waters (RE of 99.140 and R2 of 0.090). The low correlation between TSS or Chl-a measured and estimated TSS or Chl-a concentration were caused not only by performance of the developed TSS and Chl-a estimation retrieval algorithm but also the effect and accuracy of atmospheric corrected reflectance of Landsat product.
Co-Authors Abdiel Hardwin Dito Ade Reza Rachmat Adhe Reza Rachmat Ahmad Ikhfan Efendi Ahmad Rizky Alfian Amien Widodo Anggi Dela Ayu Puspita Anisa Hapsari Kusumastuti Aries Sulisetyono Cahyo, Prio Nur Dewi Rupyanti Sinaga Dira Arumsani Eddy Setyo Koenhardono, Eddy Setyo Eko Santoso Erma Fitria Rini Erma Fitria Rini Fahmi Alam Wildany Irsya Fery Irfan Nurrahman Gde Abhicanika Pranata Dyaksa Hanoraga, Tony Haryo Sulistyarso Hilmi, Al Hilal I Dewa Made Frendika Septanaya I Made Sukma Pradipta Jaelani, Lalu Muhamad Kesumaning Dyah Larasati Ketut Dewi Martha Erly Lukman Yusuf M Muhktasor Medhiansyah Putra Prawira Mega Utami Ciptaningrum Mega Utami Ciptaningrum Michael Christianus Giyai Mohammad Emil Widya Pradana Mohammad Muhaimin Mohammad Riziq Syihab Mohammad Sodiq Muhammad Hidayat Isa Muhammad Ifaldy Amrila Zulkarnain Nabila Azzahra Tiara Diska Nanda Gayuk Candy Naomi Zakina Nia Kurniadin Niko Irjaya Desmonda Novia Destriani Novia Destriani Nurlaela, Siti Nurlaili Humaidah Nury Ahdiya Rif'ati Nyimas Martha Olfiana Prananda Navitas Prima Tama Setyasa Prio Nur Cahyo Putri Rizky Fadilla Rachman Adhi Nugroho Rahel Putri Pamungkas Resti Limehuwey Rimadewi Suprihardjo Rimadewi Suprihardjo Rini, Erma Fitria Rivan Aji Wahyu Dyan Syafitri Rizki Nur Thoyibah Rizki Satryanto Rosmayani Noor Latifah Ruth Lane Sabrina Chaerani Astuti Santika Purwitaningsih Santika Purwitaningsih Sarah Bekessy Shafira Aulia Rosyida Irawan Ummi Fadlilah K Vely Kukinul Siswanto Veranita Hadyanti Utami Wahyu Widya Kusuma Yudha Ardian