Specification of Map Generalization from Large Scale to Small Scale Based on Existing Data

Susetyo, Danang Budi; Hidayat, Fahrul

doi:10.1088/1755-1315/280/1/012026

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…It can then be used to produce topography and slope information [17]. At the first stage of spatial land use planning in which data has not been widely available at regional level, soil information at reconnaissance with scale of 250, 000 can be used for spatial planning [18][19][20] and one of basic data that can be used for land identification and evaluation include landform information [17]. Therefore, in this study, slope, as part of landform, is then considered in agricultural land use planning in addition to determine type of agriculture [21,22].…”

Section: Methodsmentioning

confidence: 99%

Agricultural Land Use Planning on Sustained Basis Using Landform and Land Evaluation Approach with Geospatial Analysis (a case study in East Barito District, Central Kalimantan Province)

Bhermana,

Nursafingi,

Purwoko

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Spatial planning for agricultural land use is required since the region with its land resource has an opportunity to be opened and cultivated. On the other side, balanced environment should be maintained in order to achieve sustainability for future use. Land resources information can then be used as basic information and prerequisite for analysis and evaluation in planning process. Because of the lack of data, this study was conducted to generate and provide land resource information. Landform approach using raster surface analysis and slope classification derived from digital elevation model (DEM) was then used to determine agricultural land regions. Procedure of land suitability evaluation in addition to geographic information system (GIS) technology were applied to define specific kind of use for lands. In the case of East Barito as study areas, mainly on the basis of landform analysis, the region can be classified into 6 slope classes i.e. <3%; 3-8%; 9-15%; 16-25%; 26-40%; dan >40%. The result of land suitability evaluation integrated into GIS environment establish that arable lands is still available with total area of 226,211 hectare (59.11%) of total study areas. Furthermore, the region can then be delineated for group of commodities involving food crops, estate crops, and forest as well with each total area 62,291 hectares (17.96%), 183,107 hectares (52.78%) and 101,513 hectares (29.26%), respectively. Several restrictive factors that should be considered include slopping lands and peat depth. Any appropriate and specific programs for agricultural development can then be formulated in land use planning process.

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Section: Methodsmentioning

confidence: 99%

Agricultural Land Use Planning on Sustained Basis Using Landform and Land Evaluation Approach with Geospatial Analysis (a case study in East Barito District, Central Kalimantan Province)

Bhermana,

Nursafingi,

Purwoko

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…For generalization, the guidelines of the European Environment Agency (EEA) prepared for the vecorization and generalization of CORINE Land Cover (CLC) classes [30] were used. When necessary, the following operations were made on large-scale maps: aggregation, amalgamation, classification, merging, selection, simplification [31,32]. Our experience was that on maps with a 1:28,800 scale, the size of the smallest vectorizable patches is c. 0.25 hectare.…”

Section: Methods To Study Land Use/land Cover Changementioning

confidence: 99%

Long-Term Land Use and Landscape Pattern Changes in a Marshland of Hungary

2021

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This paper presents the trends of landscape change in the marshes on the southern shore of Lake Balaton, a wetland profoundly transformed by human activities. The study does not only deal with alterations in the areal proportions of land use classes but also quantitatively analyses landscape pattern, comparing landscape metrics on different dates. Based on the findings, proposals for rehabilitation are made. Through the restoration of wetland habitats, the provision level of ecosystem services can be raised. Landscape change was investigated from 1783 to 2020. For this purpose, archive maps were digitized, CORINE land cover datasets corrected by Sentinel-2 imagery were employed and from the vector data, the proportions of land use classes were calculated. For landscape pattern perimeter, area, neighbourhood and diversity metrics were used, calculated by ArcGIS vLATE plugin. It was pointed out that in land cover, the share of wetlands considerably declined over the centuries but in recent decades somewhat expanded. In the 20th century, grasslands were the predominant land use class, but with the spread of other categories, land use has become more complex. Landscape metrics show an increased fragmentation of natural habitats, a higher number of patches and edge density, leading to higher landscape diversity. Rehabilitation proposals include the establishment of rainwater retention reservoirs, the conversion of arable land which cannot be cultivated profitably to close-to-natural classes (first of all, grasslands) and the plantation of gallery forests of native tree species along canals. In comparison with other regions, similar temporal trends and spatial distributions are observed. For instance, the internationally well-known transformation of the Doñana wetland started later but was more intensive than in Hungary.

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“…As has been previously mentioned, a recent push towards nation-wide large-scale mapping (up to 1:5000 scale) in Indonesia has sparked interest in cost-feasible solutions [21]. Some of the considered methods include high-resolution satellite imagery [22] and UAVs [23].…”

Section: Related Workmentioning

confidence: 99%

Automatic Workflow for Roof Extraction and Generation of 3D CityGML Models from Low-Cost UAV Image-Derived Point Clouds

Murtiyoso

Veriandi

Suwardhi

et al. 2020

IJGI

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Developments in UAV sensors and platforms in recent decades have stimulated an upsurge in its application for 3D mapping. The relatively low-cost nature of UAVs combined with the use of revolutionary photogrammetric algorithms, such as dense image matching, has made it a strong competitor to aerial lidar mapping. However, in the context of 3D city mapping, further 3D modeling is required to generate 3D city models which is often performed manually using, e.g., photogrammetric stereoplotting. The aim of the paper was to try to implement an algorithmic approach to building point cloud segmentation, from which an automated workflow for the generation of roof planes will also be presented. 3D models of buildings are then created using the roofs’ planes as a base, therefore satisfying the requirements for a Level of Detail (LoD) 2 in the CityGML paradigm. Consequently, the paper attempts to create an automated workflow starting from UAV-derived point clouds to LoD 2-compatible 3D model. Results show that the rule-based segmentation approach presented in this paper works well with the additional advantage of instance segmentation and automatic semantic attribute annotation, while the 3D modeling algorithm performs well for low to medium complexity roofs. The proposed workflow can therefore be implemented for simple roofs with a relatively low number of planar surfaces. Furthermore, the automated approach to the 3D modeling process also helps to maintain the geometric requirements of CityGML such as 3D polygon coplanarity vis-à-vis manual stereoplotting.

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Specification of Map Generalization from Large Scale to Small Scale Based on Existing Data

Cited by 4 publications

References 24 publications

Agricultural Land Use Planning on Sustained Basis Using Landform and Land Evaluation Approach with Geospatial Analysis (a case study in East Barito District, Central Kalimantan Province)

Agricultural Land Use Planning on Sustained Basis Using Landform and Land Evaluation Approach with Geospatial Analysis (a case study in East Barito District, Central Kalimantan Province)

Long-Term Land Use and Landscape Pattern Changes in a Marshland of Hungary

Automatic Workflow for Roof Extraction and Generation of 3D CityGML Models from Low-Cost UAV Image-Derived Point Clouds

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