Analisis Pentingnya Standar Koreksi Geometrik Citra Satelit Resolusi Menengah Dan Kebutuhan Manfaat Bagi Pengguna

Lukiawan, Reza; Purwanto, Endi Hari; Ayundyahrini, Meilinda

doi:10.31153/js.v21i1.735

Cited by 7 publications

(6 citation statements)

References 2 publications

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“…Landsat imagery is a medium-resolution remote sensing image that consistently records remote sensing data 9 . Landsat imagery used in this study namely Landsat 5 TM, Landsat 7 ETM, and Landsat 8 OLI.…”

Section: Remote Sensing Datamentioning

confidence: 99%

Dynamics of multi-temporal analysis of coastal wetland area change using cloud computing

Novenda,

Farda,

Yudhanto

2024

Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet

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Wetland areas play a crucial role in ecological development and land utilization. The availability of wetlands is urgently needed, as they are vital for maintaining ecosystem integrity. However, land conversion poses a significant threat to wetland management in Indonesia. This study focuses on the rapid changes in land use occurring in Bekasi Regency, which is undergoing extensive development as an industrial center. The dynamic nature of human needs, coupled with advancements in technology, has led to the conversion of wetland areas into new land uses, thereby posing a threat to the natural environment. This research aims to examine the changes in land use dynamics within the Bekasi wetlands area from 1988 to 2022. The detection of changes was performed by integrating Landsat data and using the transformation index indicator methods on a cloud computing platform, specifically the Google Earth Engine (GEE). The results indicate that wetland degradation in northern Bekasi Regency has resulted in a reduction of over 11.5% of wetland area. Concurrently, the non-wetland area has experienced an increase, spanning approximately 3,224.40 hectares, while the wetland area has shown a decreasing trend, covering 3,828.80 hectares.

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Section: Remote Sensing Datamentioning

confidence: 99%

Dynamics of multi-temporal analysis of coastal wetland area change using cloud computing

Novenda,

Farda,

Yudhanto

2024

Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet

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“…The data processing stages are as follows. (a) If atmospheric disturbances are the primary cause of inaccuracy in a given image, radiometric correction can bring the pixel values closer to what they will be in the field (Lukiawan et al, 2019). (b) Images captured in 2016 and 2021 were cropped to reflect the scope of the research.…”

Section: Data Collection and Processingmentioning

confidence: 99%

Analysis of Environmental Criticality Index (ECI) and Distribution of Slums in Yogyakarta and Surrounding Areas Using Multitemporal Landsat Imagery

Saputra,

Jumadi,

Sari

2023

Advances in Social Science, Education and Humanities Research

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The environmental challenges arising due to urbanization and population growth have emerged. Reasons for this include rising temperature, high population, and changes in land use to built-up land. Many people prefer to live in cities because they provide better opportunities for work, living standards, and access to facilities like healthcare and education. Yogyakarta and its neighboring areas have witnessed the rise of slum settlements due to these factors. Extreme dense buildings, low building quality, and misaligned land use have all contributed to the environmentally critical status of slum settlements. This study aims to dissect the environmental criticality map of Yogyakarta's slums in 2016 and 2021. Using the Land Surface Temperature (LST) and Built-up Index (BU) methods, this study collected Environmental Criticality Index (ECI) data, to which a Modified Normalized Difference Water Index (MNDWI) was applied to filter out bodies of water. Following the study's findings, the downtown areas fell into the high-criticality zone due to their dense built-up land, low vegetation, and high surface temperature. Slums in Yogyakarta and its suburbs were concentrated in places bordering large waterways, including the Gadjah Wong, Code, and Winongo Rivers. Generally speaking, city centers and their surrounding suburbs contained most settlements. Extremely high critical environmental conditions were present in urban slums, whereas suburban slums have moderate to high critical conditions.

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“…Geometric correction is used to reposition the pixels in their place, and radiometric correction is used to remove noise in the image due to distortion [6]. The geometric correction is a bottom-tracking correction.…”

Section: Geometric and Radiometric Correctionsmentioning

confidence: 99%

Side scan sonar data quantification for seabed classification in Yos Sudarso Bay, Jayapura

Salsabila,

Manik,

Mulyadi

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Side Scan Sonar (SSS) is an instrument that is usually used in surveys to perform seabed imaging. SSS was able to show two-dimensional images of the seabed with contour, topographic, and target conditions simultaneously. This technology is capable of distinguishing seabed types such as rocks, sand, or others. In addition, the usefulness of this technology can also detect the existence of marine pipes and cables, shallow structures of the seabed, dredges, environmental studies, military, archaeology, fisheries, and mining. The aims of this research were to identify and interpret the seabed, measure the acoustic backscatter (dB) and amplitude (mV) of the seabed substrate, and compute SSS data using Continuous Wavelet Transform (CWT) in the Yos Sudarso Bay, Jayapura. Processing data was performed by radiometric Beam Angle Correction (BAC), Automatic Gain Control (AGC), and geometric (bottom tracking) corrections using SonarWiz 7 software. Pre-processed SSS data were then converted to XtfToSegy and the amplitude values were exported by SeiSee software, and CWT was calculated using Matlab. Amplitude data was visualized using Microsoft Excel to display a relation between amplitude, time, and CWT graph. The results of seabed detection were three areas of sand and one coral target. The amplitude value of sand 1 ranged from 4319 to 30976 mV with the = backscatter value was -17.10 dB. The amplitude value of sand 2 ranged from 1411 to 12288 mV with the backscatter value was -18.79 dB. The amplitude value of sand 3 ranged from 1391.625 to 12032 mV with the backscatter value was -18.70 dB. The amplitude of the coral ranged from 24960 to 32640 mV with the backscatter value was -2.30 dB. The CWT analysis results show that the yellow-coloured coral’s energy represents a rougher and harder object. The energy generated from the blue-coloured sand represents the object has smooth and non-hardening characteristics.

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Analisis Pentingnya Standar Koreksi Geometrik Citra Satelit Resolusi Menengah Dan Kebutuhan Manfaat Bagi Pengguna

Cited by 7 publications

References 2 publications

Dynamics of multi-temporal analysis of coastal wetland area change using cloud computing

Dynamics of multi-temporal analysis of coastal wetland area change using cloud computing

Analysis of Environmental Criticality Index (ECI) and Distribution of Slums in Yogyakarta and Surrounding Areas Using Multitemporal Landsat Imagery

Side scan sonar data quantification for seabed classification in Yos Sudarso Bay, Jayapura

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