A fast candidate viewpoints filtering algorithm for multiple viewshed site planning

Wang, Yiwen; Dou, Wanfeng

doi:10.1080/13658816.2019.1664743

Cited by 21 publications

(7 citation statements)

References 23 publications

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“…In a relatively diverse landscape, this detail seems to be sufficient, although it is still difficult to find works with such accuracy, especially for Poland [52]. Moreover, since the computation (1996), much effort has been put in by later works to develop faster and more efficient GIS tools related to view line tracking and zooming, reference plane analysis, and view partitioning into blocks [53][54][55][56]. For example, Miller and Law [57] performed an interesting analysis of view structure by building a 3D terrain model and calculating visibility shares of specific land cover types according to Corine Land Cover.…”

Section: Discussionmentioning

confidence: 99%

Multi-Item Assessment of Physiognomic Diversity of Geocomplexes as a Comprehensive Method of Visual-Aesthetic Landscape Assessment

Śleszyński

2021

Geographies

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The paper presents the development of conceptual, theoretical, and methodological foundations of a complex and novel method for evaluating visual–aesthetic values of landscape. The novelty lies in the combination of methods for assessing the overall attractiveness of the landscape (geocomplex) and the view field (as seen from an observation point). The analysis was carried out for a highly environmentally diverse fragment of the Małopolska Upland (central Poland). The proposed method of evaluation is in two-stage procedure. At the first stage, the visual attractiveness of landscape units (geocomplexes distinguished on the basis of relief and land cover types) was calculated. The assessment took into account the diversity of landscape form and content (shape of the unit, contrast of landscape boundaries, vertical differentiation of relief and land cover, typological richness of vegetation). In the second stage, first, the view extent was determined using a specially written computer program from multiple points on a map in an assumed grid every 50 m. More than 3200 measurements were taken in a transect from an area of 8 sq. km for an area enclosing 77 sq. km. Then, in each of these 3.2 thousand delineated view reaches, the unit values of the physiognomic–aesthetic evaluation of the landscapes seen by the observer (first-stage evaluation) were counted. The developed method tries to make a conceptual–theoretical and methodological contribution to the study of physiognomy and aesthetics of landscapes, as the evaluation combines the aspects of surface and point attractiveness. Hence, the proposed method has a comprehensive character and can be a universal platform for physiognomic and landscape evaluation, also for practical purposes, e.g., nature protection, tourism development and spatial planning.

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Section: Discussionmentioning

confidence: 99%

Multi-Item Assessment of Physiognomic Diversity of Geocomplexes as a Comprehensive Method of Visual-Aesthetic Landscape Assessment

Śleszyński

2021

Geographies

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“…rocky locations or inside a water surface etc.). The proposal of new algorithms for the reduction of candidate points is still underway [80][81].…”

Section: Discussionmentioning

confidence: 99%

Review of Geoinformatics-Based Forest Fire Management Tools for Integrated Fire Analysis

Sakellariou¹,

Sfougaris²,

Christopoulou³

2021

Pol. J. Environ. Stud.

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Wildfires of high severity can have profound implications on natural and human environment affecting the quality of life; the health of living beings; and the prosperity of any society. Consequently, specific strategies, tactics and techniques should always be adopted for the alleviation of this critical phenomenon. Hence, the aim of the paper is the review of the most common geoinformatics-based techniques contributing to an integrated fire analysis through four pillars. The first one is related with the fire exposure on the ground, primarily analyzing the fire susceptibility in terms of fire risk and burn probability maps; The second one examines the fire effects on the most critical ecological and anthropogenic resources and infrastructures. The third pillar combines two effective geospatial tools supporting the wildfire prevention and suppression, such as the visibility analysis for early detection of fire hotspots and the network analysis for strategic and operational planning of fire events. Last, the Earth-Observation module, through the spatiotemporal monitoring and prediction of land use changes, permits the planners to evaluate the underlying pressures (fires, urbanization) against forests developing the appropriate planning guidelines. In the meantime, new perspectives emerge. Novel machine learning algorithms and remote sensing data techniques are expected to improve the fire risk/probability credibility enhancing the more precise identification of fire effects to any resource. The integration of specific geographic criteria (e.g. topography, accessibility) and programming techniques (e.g. maximizing the visible area) to visibility analysis would empower the immediate fire detection. New technologies such as the adoption of drones would be a cost-effective tool for quick retrieval of vital geo-data. Network analysis could propose financially and environmentally efficient location schemes of fire agencies and resources.

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“…To overcome this, 2D isovist could be replaced by 2D viewshed analysis, which takes the height of a surface model into account; however, as noted by Weitkamp [102], viewshed does not calculate visible space, but visible landscape elements. An algorithm for deriving a viewshed minimal viewpoint set (equivalent to MIS) was proposed by Wang and Dou [103], as well as Shi and Xue [104]. The viewshed approach uses a candidate viewpoint filtering strategy to avoid a rapid increase in the number of viewpoints as the digital surface model resolution increases.…”

Section: Discussionmentioning

confidence: 99%

Introducing GEOBIA to Landscape Imageability Assessment: A Multi-Temporal Case Study of the Nature Reserve “Kózki”, Poland

et al. 2020

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Geographic object-based image analysis (GEOBIA) is a primary remote sensing tool utilized in land-cover mapping and change detection. Land-cover patches are the primary data source for landscape metrics and ecological indicator calculations; however, their application to visual landscape character (VLC) indicators was little investigated to date. To bridge the knowledge gap between GEOBIA and VLC, this paper puts forward the theoretical concept of using viewpoint as a landscape imageability indicator into the practice of a multi-temporal land-cover case study and explains how to interpret the indicator. The study extends the application of GEOBIA to visual landscape indicator calculations. In doing so, eight different remote sensing imageries are the object of GEOBIA, starting from a historical aerial photograph (1957) and CORONA declassified scene (1965) to contemporary (2018) UAV-delivered imagery. The multi-temporal GEOBIA-delivered land-cover patches are utilized to find the minimal isovist set of viewpoints and to calculate three imageability indicators: the number, density, and spacing of viewpoints. The calculated indicator values, viewpoint rank, and spatial arrangements allow us to describe the scale, direction, rate, and reasons for VLC changes over the analyzed 60 years of landscape evolution. We found that the case study nature reserve (“Kózki”, Poland) landscape imageability transformed from visually impressive openness to imageability due to the impression of several landscape rooms enclosed by forest walls. Our results provide proof that the number, rank, and spatial arrangement of viewpoints constitute landscape imageability measured with the proposed indicators. Discussing the method’s technical limitations, we believe that our findings contribute to a better understanding of land-cover change impact on visual landscape structure dynamics and further VLC indicator development.

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A fast candidate viewpoints filtering algorithm for multiple viewshed site planning

Cited by 21 publications

References 23 publications

Multi-Item Assessment of Physiognomic Diversity of Geocomplexes as a Comprehensive Method of Visual-Aesthetic Landscape Assessment

Multi-Item Assessment of Physiognomic Diversity of Geocomplexes as a Comprehensive Method of Visual-Aesthetic Landscape Assessment

Review of Geoinformatics-Based Forest Fire Management Tools for Integrated Fire Analysis

Introducing GEOBIA to Landscape Imageability Assessment: A Multi-Temporal Case Study of the Nature Reserve “Kózki”, Poland

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