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Raldi Hendro Koestoer, Raldi Hendro
Sekolah Ilmu Lingkungan, Universitas Indonesia
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Journal : Applied Information System and Management

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Water Quality Assessment of Remote Sensing Techniques: A Comparative Insight Between Yangtze of China and Porong of Indonesia Putri, Niken Anissa; Koestoer, Raldi Hendro
Applied Information System and Management (AISM) Vol. 6 No. 2 (2023): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v6i2.31386

Abstract

The river water quality, exceptionally the total suspended solid (TSS) in China and Indonesia, has deteriorated due to human activities. Remote sensing makes it easier for observers to monitor river water quality, especially TSS. However, measuring the river water quality by remote sensing is still in the model and algorithm development stage in China and Indonesia. This study aims to identify the river water quality on remote sensing in China's Yangtze River and Porong River, East Java, Indonesia, and to analyze comparisons of river water quality on remote sensing in Yangtze River, China, and Porong River, East Java, Indonesia. This method uses a literature review based on journals, articles, and primary sources to review related literature on TSS concentrations in rivers and remote sensing in China and Indonesia. River water monitoring methods can measure the TSS in China and Indonesia using remote sensing. Many water quality models for waterways are based on different satellite images. In the Yangtze Downstream River, the algorithm of TSS uses the latest random forest on Landsat-8. The algorithm of TSS in the Porong River estuary used linear regression on sentinel-2 imagery. These TSS algorithms can more precisely assess TSS in water quality for scientific studies. The results show that the latest random forest is a more precise remote sensing algorithm in China than Linear regression in Indonesia. The suspended solid models and remote sensing images such as China's MODIS, Landsat-8, and MERIS are accurate in China. Therefore, developing more precise remote sensing techniques, total suspended solid models composed of Wiggin's Algorithm and Markert Algorithm, NDWI Algorithm, and remote sensing imagery such as Sentinel-2 and Landsat-8 in Indonesia is crucial to determine total suspended solids. The researchers additionally contribute to advanced research toward advancing suitable remote sensing techniques in various areas in Indonesia.
Co-Authors Abdul Mukti Agustin, Nina Analissa Huwaina Andria Wardani, Laras Andriyanto, Dimas Anggorojati, Ayodya Satryo Aritenang, Wendy Arumbinang, Nimas Ayu Astuty, Yulia Indri Benito Rio Avianto Benito Rio Avianto Djoko Harmantyo Dwita Sutjiningsih Fatma Lestari Fauzia, Assyifa Gulo, Edison Reinkarnasi Gunanda, Arkha Hadinata*, Jaka Hayati Sari Hasibuan Indratmoko, Satria Iwa Garniwa Iwan Freddy Sidabutar Jatna Supriatna KOSUKE MIZUNO, KOSUKE Kristi Siagian Laras Andria Wardani Lukijanto, Lukijanto M. Bayu Rizky Prayoga Mahawan Karuniasa Maria Agnes MAULANA, PRECIOUS DOUGLAS Moira Moeliono, Moira Muhammad Idris Mukti, Abdul Nabiha Zain Muhamad Noverita Dian Takarina Dian Takarina Nurina Rachmita Octaviana, Indra Saktia Pambudi, Andi Setyo Pramudhian Firdaus Prita Ayu Permatasari, Prita Ayu Putri, Niken Anissa Putri, Tri Riska Renita Purwanti, Renita Retno Setiowati Rina Muthia Harahap, Rina Muthia Saleha Saleha Sasongko, Mochamad Agung Shahboz, Ashurzoda Siagian, Kristi Sidabutar, Iwan Freddy Siregar, Pahrian Ganawira Siregar, Ronald Sodri, Ahyahudin SOEDARJANTO, Muchamad Saparis Sri Hayyu Alynda Heryati Sudarwati, Lilik Supriyanto Supriyanto Supriyanto Supriyanto Sutisna, Muhammad Aziz Rizal Suyud Warno Utomo Syakila, Alfi Tito Latif Indra Tri Ligayanti Wiguna, Dede Prabowo Yazid, Hana Yudhista, Rizaldy Yudhista Yuliyanti, Rifa Diana