Wachidatin Nisaul Chusnah, Hone-Jay Chu, Tatas & Lalu Muhamad Jaelani Chlorophyll-a concentration for quantifying phytoplankton biomass is commonly used as an indicator for evaluating the trophic level of lakes and water quality. This research aimed to develop a high spatiotemporal-resolution model for the retrieval of chlorophyll-a in inland water. Firstly, the machine learning based models considering Sentinel-2 Multispectral Instrument and Sentinel-3... Continue Reading →
Monitoring of Lake Water Quality Through Streamlit Web Application (Case Study: Lake Matano And Lake Towuti, South Sulawesi)
Lalu Muhamad Jaelani, Martanti Aji Pangestu The Indonesian government, through the National Medium Term Development Plan (RPJMN) 2015-2019, stated that water reservation, including the function of lakes, is one of the priorities. Lakes are not only functioned to maintain the ecological balance but also to provide water, protein, mineral, energy sources, and even tourism to... Continue Reading →
Using GIS to Understand Healthcare Access Variations in Flood Situation in Surabaya
Nurwatik Nurwatik 1,*Jung-Hong Hong 2,Lalu Muhamad Jaelani 1,Hepi Hapsari Handayani 1,Agung Budi Cahyono 1 and Mohammad Rohmaneo Darminto 1 1Department of Geomatics Engineering, Faculty of Civil, Planning, and Geo Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia. 2Department of Geomatics, National Cheng Kung University, Tainan City 701, Taiwan This paper proposes to identify the variation of accessibility to healthcare facilities based on... Continue Reading →
Spatio-temporal analysis of nitrogen dioxide (NO2) from Sentinel-5P imageries using Google Earth Engine changes during the COVID-19 social restriction policy in jakarta
Moh Faisal, Lalu Muhamad Jaelani Department of Geomatics Engineering, Faculty of Civil Planning and Geo-Engineering, Institut Teknologi Sepuluh Nopember Surabaya, 60111, Indonesia The number of cases due to COVID-19 is increasing, especially in Jakarta, requiring the government to establish a policy of social restrictions. The policy impacting the mobility of people using motor vehicles becomes limited, affecting air... Continue Reading →
Pseudoinvariant feature selection for cross-sensor optical satellite images
Pseudoinvariant feature selection for cross-sensor optical satellite images Lino Garda Denaro; Bo-Yi Lin; Muhammad Aldila Syariz; Lalu Muhamad Jaelani; Chao-Hung Lin Abstract Processing of multitemporal satellite images generally suffers from uncertainties caused by differences in illumination and observation angles, as well as variation in atmospheric conditions. Moreover, satellite images acquired from different sensors contain not only the uncertainties but... Continue Reading →
Spectral-consistent relative radiometric normalization for multitemporal Landsat 8 imagery
Spectral-consistent relative radiometric normalization for multitemporal Landsat 8 imagery Author links open overlay panelMuhammad AldilaSyarizaBo-YiLinaLino GardaDenaroaLalu MuhamadJaelanibManhVan NguyenacChao-HungLina Show more https://doi.org/10.1016/j.isprsjprs.2018.11.007Get rights and content Abstract Radiometric normalization is a fundamental and important preprocessing method for remote sensing applications using multitemporal satellite images due to uncertainties of at-sensor radiances caused by different sun angles and atmospheric conditions. In case the atmospheric model and ground measurements... Continue Reading →
Satellite-Based Water Quality Mapping from Sequential Simulation with Parameter Outlier Removal
Satellite-Based Water Quality Mapping from Sequential Simulation with Parameter Outlier Removal Hone-Jay Chu, Mạnh Van Nguyen & Lalu Muhamad Jaelani Water Resources Management (2019)Cite this article Abstract The satellite-based regression model provides the data model that identifies water quality for inland and coastal waters. However, the satellite regression usually depends on the selection of observation, satellite data,... Continue Reading →
PM2. 5 Pollutant in Asia—A Comparison of Metropolis Cities in Indonesia and Taiwan
PM2.5 Pollutant in Asia—A Comparison of Metropolis Cities in Indonesia and Taiwan by Widya Liadira Kusuma 1,Wu Chih-Da 2,Zeng Yu-Ting 3,Handayani Hepi Hapsari 1 andJaelani Lalu Muhamad 1,* 1Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember (ITS), Surabaya 60111, Indonesia 2Department of Geomatics, National Cheng Kung University, Tainan 70101, Taiwan 3National Health Research Inst., No. 35, Keyan Rd, Zhunan, Miaoli County 35053, Taiwan... Continue Reading →
Multi-Temporal Chlorophyll-A Monitoring in Lake Matano and Towuti Using Landsat 8 OLI Imagery
Multi-Temporal Chlorophyll-A Monitoring in Lake Matano and Towuti Using Landsat 8 OLI Imagery Lalu Muhamad JaelaniDept. of Geomatics Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia, 60111 Rossita Yuli RatnaningsihDept. of Geomatics Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia, 60111 DOI: https://doi.org/10.30871/jagi.v3i1.1065 Keywords: Water Quality Monitoring, Chlorophyll-a, Landsat-8, Multi-temporal monitoring, Matano, Towuti Abstract Lake Matano and Towuti are... Continue Reading →
Estimasi Konsentrasi Klorofil-a menggunakan Refined Neural Network (Studi Kasus: Perairan Danau Kasumigaura)
Estimasi Konsentrasi Klorofil-a menggunakan Refined Neural Network (Studi Kasus: Perairan Danau Kasumigaura) Muhammad Aldila Syariz Lino Garda Denaro Salwa Nabilah Dewinta Heriza Lalu Muhamad Jaelani Chao-Hung Lin Keywords: Neural network, network refinement, IDW, MERIS Abstract Estimation of Chlorophyll-a Concentration using Refined Neural Network (Case Study: Lake Kasumigaura) Chlorophyll-a has been became one of clinical in-water constituents... Continue Reading →
Lalu Muhamad Jaelani 