Analysis of landslide potential due to changes of land use/land cover at the Kuranji watershed, Padang using normalized difference built-up index (NDBI)

Andriani, Andriani; Putra, Geri Despita; Ramadhani, Salsabila; Ismael,; Putra, Hendri Gusti

doi:10.1051/e3sconf/202133103007

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…The geographical location of the Kuranji Watershed, which is located in a strategic location in the city of Padang, has an impact on the rapid development of settlements and roads [16]. Infrastructure development in the Kuranji watershed affects runoff and runoff coefficient; one of the factors that trigger erosion and landslides is high runoff.…”

Section: Land Use/land Cover Kuranji Watershed At 2020mentioning

confidence: 99%

Effect of physical environmental characteristics on landslide potential in Kuranji Watershed, Padang-West Sumatera

Andriani,

Rahmadani,

Trio Syuheri

et al. 2023

E3S Web Conf.

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West Sumatra is one province prone to natural disasters, including landslides. Changes in environmental characteristics such as slope geometry conditions, vegetation density, and changes in land use will affect the coefficient of runoff and rainwater filtration, thus triggering landslides. In addition, natural factors such as geological conditions, soil types, rainfall, seismicity, and others significantly affect the potential for landslides. This study aims to analyze the potential for landslides due to changes in the characteristics of the physical environment in the Kuranji Watershed, Padang. Data on the characteristics of the physical environment and its changes were collected from various sources and then analyzed to determine changes in the characteristics of the physical environment in the Kuranji watershed, Padang. Mapping of the physical characteristics of the research area includes soil type, rainfall, geological conditions, seismicity factors, the topography of the area, changes in land use and vegetation density, and their influence on the potential for landslide hazards. The study results are thematic geospatial information on landslide-prone areas in the Kuranji watershed, Padang. This mapping can be used as a reference for disaster mitigation and spatial planning in Padang City, especially in the Kuranji watershed.

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Section: Land Use/land Cover Kuranji Watershed At 2020mentioning

confidence: 99%

Effect of physical environmental characteristics on landslide potential in Kuranji Watershed, Padang-West Sumatera

Andriani,

Rahmadani,

Trio Syuheri

et al. 2023

E3S Web Conf.

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“…Another indicator that can be used as an indicator of tsunami vulnerability is the Normalized Difference Built-up Index (NDBI). In this study [20], this indicator was used to measure the density of built-up land. Several previous studies have applied various approaches to improve NDVI, NDWI, MNDWI, NDBI, and MSAVI.…”

Section: Introductionmentioning

confidence: 99%

Tsunami Vulnerability and Risk Assessment in Banyuwangi District using machine learning and Landsat 8 image data

Wibowo,

Prasetyo,

Sembiring

2023

matrik

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The tsunami is a disaster that often occurs in Indonesia, there are no valid indicators to assess and monitor coastal areas based on functional land use and based on land cover which refers to the biophysical characteristics of the earth's surface. One of the recommended methods is the vegetation index. Vegetation index is a method from LULC that can be used to provide information on how severe the impact of the tsunami was on the area.In this study, an increase in the vegetation index was carried out using machine learning. The purpose of this study was to develop a tsunami vulnerability assessment model using the Vegetation Index extracted from Landsat 8 satellite imagery optimized with KNN, Random Forest and SVM. The stages of study, are: 1)extraction Landsat 8 images using algorithms NDVI, NDBI, NDWI, MSAVI, and MNDWI; 2) prediction of vegetation indices using KNN, Random Forest, and SVM algorithms. 3) accuracy testing using the MSE, RMSE, and MAE,4) spatial prediction using the Kriging function and 5) tsunami modelling vulnerability indicators. The results of this study indicate that the NDVI interpolation value is 0 - 0.1 which is defined as vegetation density, biomass growth, and moderate to low vegetation health. the NDWI value is 0.02 - 0.08 and the MNDWI value is 0.02 - 0.09 which is interpreted as the presence of surface water along the coast. MSAVI is a value of 0.1 – 0 which is defined as the absence of vegetation. The NDBI interpolation value is -0.05 - (-0.08) which is interpreted as the existence of built-up land with social and economic activities. From the results of research on the 10 areas studied, there are 3 areas with conditions that have a high level of tsunami vulnerability. 2 areas with medium vulnerability and 5 areas with low vulnerability to tsunami.

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Recent Dynamics of Suburban Advancement and Building Densification in Relation to Landslide Exposure in the Main Cities of North-East Romania

BĂNICĂ,

ISTRATE,

MUNTELE

et al. 2024

JSSP

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We live in a complex and highly dynamic risk society, and given the massive environmental changes, exposure to hazards has become a critical concept that is part of all risk assessments made from a spatial perspective. In urban studies, evaluating exposure to different risk phenomena influences targeted policies and planning that can shape cities while making them safer. As in other post-socialist countries, in Romania, cities have had a highly divergent recent evolution, including processes such as urban shrinkage, the suburban advancement of cities, and urban sprawl. Focusing on seven cities from the North-East Region of Romania, the current paper is an exploratory study regarding the dynamics of exposure to landslides in relation to suburban advancement and densification of cities. Using the official statistics, available GIS databases and information based on satellite images illustrating urban land use changes in the last 20 years, the paper includes a general overview of the overall evolution of urban areas against landslide probability, followed by a more in-depth assessment of specific areas that were subject to functional change and currently include buildings that are susceptible to be affected by landslides. The results and conclusions converge towards the idea that the identified exposed areas, where actual ground movements are currently registered, need special attention from experts and authorities to identify and manage risks. The significance of our findings is underscored by their potential to inform and guide more effective territorial management and urban land use planning strategies.

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Analysis of landslide potential due to changes of land use/land cover at the Kuranji watershed, Padang using normalized difference built-up index (NDBI)

Cited by 3 publications

References 3 publications

Effect of physical environmental characteristics on landslide potential in Kuranji Watershed, Padang-West Sumatera

Effect of physical environmental characteristics on landslide potential in Kuranji Watershed, Padang-West Sumatera

Tsunami Vulnerability and Risk Assessment in Banyuwangi District using machine learning and Landsat 8 image data

Recent Dynamics of Suburban Advancement and Building Densification in Relation to Landslide Exposure in the Main Cities of North-East Romania

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