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All Journal Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital International Journal of Remote Sensing and Earth Sciences (IJReSES)
Kuncoro Teguh Setiawan
Pusfatja, LAPAN
Computer Science & IT Earth & Planetary Sciences

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PEMANFAATAN METODE SEMI-ANALITIK UNTUK PENENTUAN BATIMETRI MENGGUNAKAN CITRA SATELIT RESOLUSI TINGGI Kuncoro Teguh Setiawan
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 18 No. 1 Juni 2021
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2021.v18.a3409

Abstract

Metode semi-analitik untuk mendeteksi batimetri menggunakan data citra satelit resolusi menengah merupakan pengembangan metode penentuan batimetri berbasis satelit. Metode ini memperhitungkan prinsip perambatan gelombang cahaya dalam air dan intensitas cahaya yang melaui kolom air akan berkurang secara eksponensial sebanding  dengan peningkatan kedalaman yang dilalui. Citra satelityang digunakan yaitu SPOT 7. Citra tersebut merupakan generasi terbaru satelit SPOT yang memiliki 4 saluran multispektral dengan resolusi spasial 6 meter. Oleh karena itu, citra resolusi tinggi ini diharapkan menghasilkan informasi batimetri di perairan laut dangkal lebih akurat. Metode semi-analitik yang digunakan untuk mendeteksi batimetri yaitu metode Benny dan Dawson. Metode ini menggunakan perbandingan  nilai reflektansi antara perairan dalam dengan perairan dangkal dengan memperhatikan koefisien atenuasi dan sudut elevasi dari satelit. Tujuan dari penelitian ini yaitu mendeteksi batimetri di perairan laut dangkal menggunakan metode Benny dan Dawson. Lokasi penelitian yaitu di Pulau Karimunjawa, Jepara, Jawa Tengah. Data yang digunakan adalah citra SPOT 7 akuisisi tanggal18 Mei 2017. Hasil penelitian menunjukkan bahwa dari ketiga kanal SPOT 7 menghasilkan  kisaran kedalaman 0 - 11,45 meter untuk band kanal biru, 0 - 10,49 meter untuk  kanal hijau  dan 0 -9.72 untuk kanal merah. Akurasi hasil deteksi batimetri dari kanal hijau menunjukkan hasil yang cukup baik hingga pada  kedalaman kurang dari 5 meter. Parameter kanal hijau dari algoritma Benny Dawson yang digunakan yaitu 0.3274 untuk Ld, 0.8932 untuk Lo, koefisien attenuasi sebesar 0.823 serta Cosec E' 0.6311272.
ESTIMASI BATIMETRI DARI DATA SPOT 7 STUDI KASUS PERAIRAN GILI MATRA NUSA TENGGARA BARAT Kuncoro Teguh Setiawan; Masita Dwi Mandini Manessa; Gathot Winarso; Nanin Anggraini; Gigih Girrastowo; Wikanti Astriningrum; Herianto Herianto; Syamsu Rosid; A. Harsono Supardjo
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 15 No. 2 Desember 2018
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.473 KB) | DOI: 10.30536/j.pjpdcd.2018.v15.a3008

Abstract

Indonesia merupakan negara kepulauan dengan ribuan pulau besar dan kecil yang memliki perairan laut dangkal. Salah satu informasi yang dibutuhkan dari pulau-pulau tersebut adalah peta batimetri khususnya diperairan laut dangkal. Informasi tersebut masih sangat terbatas pada skala yang besar untuk skala yang lebih detil masih sangat terbatas. Untuk menyelesaikan permasalahan tersebut dibutuhkan teknogi penginderaan jauh. Salah satu pemanfaatan teknologi penginderaan jauh adalah untuk menghasilkan informasi batimetri. Banyak metode yang dapat digunakan untuk menghasilkan informasi batimetri dengan teknologi tersebut. Metode yang digunakan dalam penelitian ini adalah metode regresi linier berganda (MLR) yang dikembangkan oleh Lyzenga, 2006. Data yang akan di gunakan adalah citra satelit SPOT 7 di Perairan Laut Dangkal Gili Trawangan, Gili Meno dan Gili Air Pulau Lombok Provinsi Nusa Tenggara Barat. Metode penentuan batimetri tersebut dilakukan pada data kedalaman insitu dengan melakukan dua modifikasi yaitu yang pertama dengan tidak memperhatikan jenis objek habitat dasar dan yang kedua memperhatikan objek habitat dasar karang, lamun, makroalga dan substrat.Hasil dari penelitian ini memberikan korelasi R2 yang meningkat dari 0,721 menjadi 0,786 serta penuruanan nilai kesalahan RMSE dari 3,3 meter menjadi 2,9 meter.
BATHYMETRY EXTRACTION FROM SPOT 7 SATELLITE IMAGERY USING RANDOM FOREST METHODS Kuncoro Teguh Setiawan; Nana Suwargana; Devica Natalia Br. Ginting; Masita Dwi Mandini Manessa; Nanin Anggraini; Syifa Wismayati Adawiah; Atriyon Julzarika; Surahman Surahman; Syamsu Rosid; Agustinus Harsono Supardjo
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 16, No 1 (2019)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (819.189 KB) | DOI: 10.30536/j.ijreses.2019.v16.a3085

Abstract

The scope of this research is the application of the random forest method to SPOT 7 data to produce bathymetry information for shallow waters in Indonesia. The study aimed to analyze the effect of base objects in shallow marine habitats on estimating bathymetry from SPOT 7 satellite imagery. SPOT 7 satellite imagery of the shallow sea waters of Gili Matra, West Nusa Tenggara Province was used in this research. The estimation of bathymetry was carried out using two in-situ depth-data modifications, in the form of a random forest algorithm used both without and with benthic habitats (coral reefs, seagrass, macroalgae, and substrates). For bathymetry estimation from SPOT 7 data, the first modification (without benthic habitats) resulted in a 90.2% coefficient of determination (R2) and 1.57 RMSE, while the second modification (with benthic habitats) resulted in an 85.3% coefficient of determination (R2) and 2.48 RMSE. This research showed that the first modification achieved slightly better results than the second modification; thus, the benthic habitat did not significantly influence bathymetry estimation from SPOT 7 imagery.
MONITORING CHANGES IN CORAL REEF HABITAT COVER ON BERALAS PASIR ISLAND USING SPOT 4 AND SPOT 7 IMAGERY FROM 2011 AND 2018 Kuncoro Teguh Setiawan; Viv Djanat Prasita; Damai, Rosaria Ria
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 17, No 2 (2020)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2020.v17.a3428

Abstract

Beralas Pasir is part of the Regional Marine Conservation Area (KKLD), which was established by the Bintan Regency Government with Bintan Regent Decree No. 261 / VIII / 2007. Water tourism activities undertaken by tourists on the island have had an impact on the condition of the coral reefs, as have other factors, such as bauxite, granite and land sand mining activities around the island. This research aims to determine changes in the coral reef habitat cover and the condition of the coral reefs around Beralas Pasir Island with a remote sensing function, using SPOT 4 imagery acquired on June 1, 2011 and SPOT 7 imagery from April 5, 2020. Data collection of environmental parameters related to the coral reefs was also made. The image processing used the Lyzenga algorithm to simplify the image classification process. The percentage of coral live cover around the island ranges from 26% -53%; this has experienced a significant change, from 67,560 hectares in 2011 to 38,338 hectares in 2018, a total decrease in the area of 29,222 hectares. Some of the natural factors found in the research which have caused damage to the reefs were Drupella snails, the abundance of Caulerpa racemosaalgae, and sea urchins. The majority of the coral reef types consist of Non-Acropora: Coral Massive, Coral, Coral Foliose, Coral Encrusting, Acropora: Acropora Tabulate, Acropora Encrusting, and Acropora Digitate
ANALYSIS OF CLASSIFICATION METHODS FOR MAPPING SHALLOW WATER HABITATS USING SPOT-7 SATELLITE IMAGERY IN NUSA LEMBONGAN ISLAND, BALI Kuncoro Teguh Setiawan; Gathot Winarso; Andi Ibrahim; Anang Dwi Purwanto; I Made Parsa
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 19, No.1 (2022)
Publisher : Ikatan Geografi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3748

Abstract

Shallow water habitat maps are crucial for the sustainable management purposes of marine resources. The use of a better digital classification method can provide shallow water habitat maps with the best accuracy rate that is able to indicate actual conditions. Experts use the object-based classification method as an alternative to the pixel-based method. However, the pixel-based classification method continues to be relied upon by experts in obtaining benthic habitat conditions in shallow water. This study aims to analyze the classification results and examine the accuracy rate of shallow-water habitats distribution using SPOT-7 satellite imagery in Nusa Lembongan Island, Bali. Water column correction by Lyzenga 2006 was opted, while object-based and pixel-based classification was used in this study. The benthic habitat classification scheme uses four classes: substrate, seagrass, macroalgae, and coral. The results show different accuracy is obtained between pixel-based classification with maximum likelihood models and object-based classification with decision tree models. Mapping benthic habitats in Nusa Lembongan, Bali, with object-based classification and decision tree models, has higher accuracy than the other with 68%.
Co-Authors A. Harsono Supardjo Agustinus Harsono Supardjo Anang Dwi Purwanto Andi Ibrahim Atriyon Julzarika Damai, Rosaria Ria Devica Natalia Br. Ginting Gathot Winarso Gathot Winarso Gigih Girrastowo Herianto Herianto I Made Parsa Masita Dwi Mandini Manessa Nana Suwargana Nanin Anggraini Nanin Anggraini Surahman Surahman Syamsu Rosid Syamsu Rosid Syifa Wismayati Adawiah Viv Djanat Prasita Wikanti Astriningrum