An Automated Approach Using Topographic Position Index (TPI) for Landform Mapping (Case Study: Gede Watershed, Malang Regency, East Java, Indonesia)

Muddarisna, Nurul; Yuniwati, Eny Dyah; Masruroh, Heni; Oktaviansyah, Aulia Rachman

doi:10.1088/1755-1315/412/1/012027

Cited by 13 publications

(7 citation statements)

References 9 publications

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“…Typologies of landslides in the study area are rotational and translational landslides. The two slides include active and inactive landslides and are used for agricultural land with local agroforestry plantations [23], [24]. Each type of landslide has its own characteristics based on the association of roads, rivers and local agroforestry in the landslide body.…”

Section: Landslide Databasementioning

confidence: 99%

Landslide Inventory and Disaster Management Based on Community Participation for Sustainability Environment in the Volcanic Area

Masruroh,

Sumarmi,

Bachri

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Landslides are still an essential problem for areas with rough morphology. There are several ways to map landslide vulnerability that can be used to reduce disaster risk. To produce maps with high accuracy is one of the challenges. This study proposes a community-based landslide inventory mapping approach. Communities are important in providing information about disaster events and are essential to disaster management. The aims of this study are 1) to conduct field investigations for the community for landslide inventory; 2) to identify and analyze the role of the community in disaster risk reduction for a sustainable environment. The method used in this research is using participatory mapping (P-GIS) and focus group discussion. The community is participatively asked to reconstruct past landslides. Community-based landslide data inventory using geospatial technology in the form of remote sensing imagery as support. The results of community participation showed that there were 138 landslides with translational and rotational landslide typologies. There is a community role in reducing the risk of landslides through the Taji Village Disaster Preparedness Community (SIBAT). The management model for land management carried out by the community is based on the principles of environmental sustainability in the form of easy application, local-based materials, local-based culture, and local-based knowledge, and provides sufficient economic income.

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Section: Landslide Databasementioning

confidence: 99%

Landslide Inventory and Disaster Management Based on Community Participation for Sustainability Environment in the Volcanic Area

Masruroh,

Sumarmi,

Bachri

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Topographical variables such as slope and aspect were computed using ArcGIS version 10.5.1. Topographic Position Index (TPI), Topographic Wetness Index (TWI), Topographic Ruggedness Index (TRI) and Topographic Roughness were computed using QGIS version 3.0 (Guisan et al 1999;Mokarram, Roshan & Negahban 2015;Muddarisna et al 2020;Radułaa, Szymura & Szymura 2018;Riley, DeGloria & Elliot 1999). The TPI computes the differences of elevation at a specific pixel (central pixel) and the average elevation around it within a defined radius (Gallant & Wilson 2000;Weiss 2001).…”

Section: Environmental Data Setsmentioning

confidence: 99%

The spatial distribution of the woodland communities and their associated environmental drivers in the Golden Gate Highlands National Park, South Africa

Daemane

Ramoelo

Adelabu

2021

Koedoe

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The extreme variability in the topography, altitude and climatic conditions in the temperate Grassland Mountains of Southern Africa is associated with the complex mosaic of grassland communities with pockets of woodland patches. Understanding the relationships between plant communities and environmental parameters is essential in biodiversity conservation, especially for current and future climate change predictions. This article focused on the spatial distribution of woodland communities and their associated environmental drivers in the Golden Gate Highlands (GGHNP) National Park in South Africa. A generalized linear model (GLM) assuming a binomial distribution, was used to determine the optimal environmental variables influencing the spatial distribution of the woodland communities. The Coefficient of Variation (CV) was relatively higher for the topographic ruggedness index (68.78%), topographic roughness index (68.03), aspect (60.04%), coarse fragments (37.46%) and the topographic wetness index (31.33) whereas soil pH, bulk density, sandy and clay contents had relatively less variation (2.39%, 3.23%, 7.56% and 8.46% respectively). In determining the optimal number of environmental variables influencing the spatial distribution of woodland communities, roughness index, topographic wetness index, soil coarse fragments, soil organic carbon, soil cation exchange capacity and remote-sensing based vegetation condition index were significant (p 0.05) and positively correlated with the woodland communities. Soil nitrogen, clay content, soil pH, fire and elevation were also significant but negatively correlated with the woodland communities. The area under the curve (AUC) of the receiver operating characteristics (ROC) was 0.81. This was indicative of a Parsimonious Model with explanatory predictive power for determination of optimal environmental variables in vegetation ecology.Conservation implications: The isolated woodland communities are sources of floristic diversity and important biogeographical links between larger forest areas in the wider Drakensberg region. They provide suitable habitats for a larger number of forest species and harbour some of the endemic tree species of South Africa. They also provide watershed protection and other important ecosystem services. Understanding the drivers influencing the spatial distribution and persistence of these woodland communities is therefore key to conservation planning in the area.

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“…Unfortunately, in Jelenia Góra city, most of the areas intended for development are located outside the scenic absorptivity areas, which, if invested in, in accordance with the intended purpose, can have a negative impact on the landscape of Jelenia Góra city perceived from the Karkonosze Mountains. In recent years, the TPI is commonly used in geomorphology to classify landforms [34,35,[38][39][40][41][42]. In this paper, landforms analysis was used as a factor indicating the character of the city landscape.…”

Section: Assessment Of the Landscape Of Jelenia Góra City In Terms Of...mentioning

confidence: 99%

Assessment of Landscape Character and Absorptivity Based on Digital Terrain Model Analysis—Case Study of Jelenia Góra City in Poland

Budzik

Krajewski

2021

Sustainability

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In an era of significant growth in the availability of spatial data and continued advances in computing technologies, opportunities for new interpretations and solutions to the landscape research problems posed worldwide are emerging. This paper presents different possibilities of applying digital terrain model (DTM) data in research of various aspects of landscape. For this purpose, two different methods were proposed. The first was to identify a set of components of the Jelenia Góra city landscape character on the basis of the topographic position index and spatial distribution of land cover, while the second was to assess the landscape of Jelenia Góra city in terms of the possibility of adopting new elements, using the author’s scenic absorptivity method. The results indicate the structure of the components of the landscape character of Jelenia Góra city together with its spatial distribution, which also allowed for the delineation of landscape units. The scenic absorptivity analysis showed that there are isolated areas within Jelenia Góra city that are capable of accommodating significant size elements that would not adversely affect the city landscape. In conclusion, DTM data are able to significantly improve research methods in landscape studies.

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An Automated Approach Using Topographic Position Index (TPI) for Landform Mapping (Case Study: Gede Watershed, Malang Regency, East Java, Indonesia)

Cited by 13 publications

References 9 publications

Landslide Inventory and Disaster Management Based on Community Participation for Sustainability Environment in the Volcanic Area

Landslide Inventory and Disaster Management Based on Community Participation for Sustainability Environment in the Volcanic Area

The spatial distribution of the woodland communities and their associated environmental drivers in the Golden Gate Highlands National Park, South Africa

Assessment of Landscape Character and Absorptivity Based on Digital Terrain Model Analysis—Case Study of Jelenia Góra City in Poland

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