A landscape may appear open in a terrain-based visibility model while containing buildings, trees and other physical features that obstruct views in practice.
These above-ground features can influence whether a proposed development is potentially visible from surrounding locations. However, their effect on a viewshed calculation depends on whether they are represented in the model, how accurately they are described and whether the information reflects current conditions.
For architects, planners, developers and infrastructure project teams, understanding these assumptions is important when interpreting visibility results and determining whether additional site evidence is required.
Buildings and vegetation can obstruct modelled sightlines, but their presence in a dataset does not automatically establish reliable or permanent visual screening.
In Brief
Buildings and vegetation can interrupt sightlines between observation locations and nominated targets. Where these features are represented as obstructions in a visibility model, they may change the extent and distribution of calculated visibility.
Existing buildings can provide relatively defined physical screening, although their geometry, openings and potential future changes remain relevant.
Vegetation is more variable. Tree height, canopy density, seasonal foliage, growth and removal can influence how much visual screening exists in practice.
A viewshed model should therefore distinguish between the features represented in its input data and the screening conditions that can reasonably be relied upon for the assessment.
Modelling limitation: A tree canopy represented as a solid surface in an elevation model may block a calculated sightline even where some visibility is possible through foliage in real conditions. A modelled obstruction should not automatically be interpreted as complete visual screening.
An above-ground obstruction is a physical feature that may interrupt a modelled line of sight beyond the influence of the underlying terrain.
Common examples include buildings, tree canopies, walls, embankments, infrastructure elements and other elevated structures.
Whether these features influence a viewshed calculation depends on the modelling approach and the information used to represent them.
A bare-earth terrain model generally excludes buildings and vegetation. A suitable surface model or a combined modelling workflow may include selected above-ground features.
The presence or absence of these obstructions can materially affect the visibility pattern, particularly in urban or heavily vegetated settings.
Buildings can interrupt visibility by occupying the space between an observation point and a target.
In an urban environment, the height and arrangement of surrounding buildings may determine whether a nominated structure is potentially visible from streets, public spaces or neighbouring locations.
A visibility model that incorporates suitable building geometry can account for some of these physical obstructions.
However, the reliability of the result depends on how the buildings are represented. A coarse surface model may simplify roof shapes, omit narrow gaps or fail to capture smaller architectural features.
Existing building screening should also be interpreted in relation to the assessment purpose and whether the surrounding built environment is likely to change.
Trees and other vegetation can influence visibility by partially or substantially screening a sightline.
A mature tree canopy may obscure parts of a proposed structure from a particular viewpoint, while gaps between trees may allow intermittent views.
Vegetation is not necessarily a continuous or opaque obstruction. The relationship between canopy height, foliage density, branch structure and viewing direction can affect real-world screening.
A digital surface model may represent the upper canopy as an elevated surface without accurately describing the spaces beneath or within it.
For this reason, modelled vegetation screening should be distinguished from verified visual screening observed under relevant site conditions.
Many raster-based visibility calculations treat represented elevation surfaces as geometric obstructions.
Where the model contains a tree canopy, the calculated sightline may be classified as obstructed when it intersects that surface.
In reality, foliage may allow partial visibility, particularly where the canopy is sparse or the viewing direction passes through gaps between branches.
Some vegetation also changes substantially throughout the year. Deciduous trees may provide different screening conditions in leaf-on and leaf-off periods.
A standard surface-based viewshed does not necessarily simulate these differences. More detailed modelling or site verification may be required where vegetation transparency is material to the assessment.
Vegetation screening can change over time, even where the surrounding terrain remains unchanged.
Tree growth may increase canopy height or coverage. Pruning, disease, storm damage or removal may reduce screening. Seasonal foliage changes can also influence the degree of visibility through some species.
These factors matter because a viewshed calculation commonly represents a particular dataset or defined modelling scenario rather than every possible future condition.
Where screening is important to the interpretation of visibility, the assessment should consider whether the represented vegetation is existing, temporary, retained or subject to change.
It may be inappropriate to rely on vegetation as a permanent obstruction without sufficient evidence about its condition and likely retention.
Above-ground features may be represented using Digital Surface Models, three-dimensional building geometry or other project-specific datasets.
LiDAR and photogrammetric surveys can provide information about surface elevations, although the detail captured depends on acquisition conditions, processing and spatial resolution.
A Digital Surface Model may contain rooftop and canopy elevations, while a separate building model may provide more defined geometry for selected structures.
The selection of data should reflect the visibility question and the level of detail needed to represent relevant obstructions.
For the underlying distinction between bare-earth and surface elevation data, see Digital Terrain Models vs Digital Surface Models in Viewshed Analysis.
A model can only represent obstructions to the extent supported by its input information.
A coarse elevation dataset may simplify building outlines, merge neighbouring tree canopies or omit narrow gaps that influence local sightlines.
Higher-resolution data can provide more detail, but finer grid cells do not guarantee that all obstructions are accurately represented.
The acquisition date is also important. A dataset collected before a new building was constructed or after a tree was removed may not reflect the current physical setting.
Where the assessment relies on particular screening features, their presence, geometry and currency should be checked rather than inferred solely from the apparent detail of a digital model.
A viewshed assessment may need to distinguish between obstructions that currently exist and features proposed as part of a future development.
Existing buildings and vegetation may be represented in available survey or surface data, subject to verification.
Proposed screening elements, such as new structures or landscaping, require separate assumptions about their location, height and geometry.
For vegetation, a proposed mature canopy should not be treated as equivalent to newly planted landscaping. Establishment time, species characteristics and likely growth conditions may affect future screening.
Where future screening is included, the model should clearly identify the assumed condition and distinguish it from the existing landscape.
Some projects may benefit from comparing visibility calculations under different obstruction assumptions.
For example, one model may examine terrain-based visibility, while another includes selected existing buildings or vegetation.
A comparison can help illustrate how represented screening features influence the calculated visibility pattern.
However, the comparison is only meaningful when other relevant settings remain consistent and the datasets are sufficiently reliable.
A reduction in modelled visibility should not automatically be interpreted as proof that the proposed development would be fully screened in real conditions.
For guidance on interpreting the resulting map classes, see How to Read and Interpret a Viewshed Map.
A viewshed methodology should explain whether buildings, vegetation and other above-ground features are represented in the model.
Where they are included, relevant information may include the data source, acquisition date, spatial resolution and any assumptions about the geometry or continuity of screening.
The methodology should distinguish between existing features, proposed features and simplified model representations.
Where screening assumptions are material to the result, additional evidence such as current site photography, survey information or field verification may be appropriate.
The broader principles and limitations of visibility modelling are discussed in Certified Energy's Viewshed Analysis Knowledge Pillar.
Both can obstruct visibility, but they differ in how reliably their screening characteristics can be represented.
| Characteristic | Buildings | Vegetation |
|---|---|---|
| Typical obstruction | Built form and structural surfaces | Trunks, branches and foliage |
| Geometry | Often relatively defined, subject to data quality | Irregular and variable canopy structure |
| Transparency | Generally opaque surfaces, with openings potentially relevant | May permit partial visibility through foliage |
| Change over time | Construction, alteration or demolition | Growth, pruning, seasonal change or removal |
| Common model input | Surface elevation or building geometry | Canopy elevation or vegetation data |
| Important limitation | Simplified or outdated built form | Canopy surface may overstate opacity |
| Verification focus | Existing geometry and current conditions | Canopy condition, density and likely retention |
☐ Identify whether above-ground screening is relevant to the assessment.
☐ Confirm whether the model includes buildings and vegetation.
☐ Identify the source and date of obstruction data.
☐ Review the resolution and reliability of represented building geometry.
☐ Check whether vegetation is treated as a solid surface.
☐ Consider foliage density and seasonal changes where relevant.
☐ Identify significant recent building or vegetation changes.
☐ Distinguish existing screening from proposed screening.
☐ Assess whether future retention of screening features is relevant.
☐ Determine whether site photography or field verification is needed.
☐ Document the assumptions and limitations of the visibility result.
A project may not have access to sufficiently detailed or current information about every building or tree within the study area.
Where screening data is incomplete, the modeller may need to use a more limited representation, obtain additional information or compare alternative scenarios.
For example, a terrain-based model may be used to examine potential visibility without relying on unverified vegetation screening. A separate scenario may then incorporate selected obstructions where suitable evidence is available.
The limitations of each scenario should be explained, particularly where the results are intended to inform planning or design decisions.
An absence of reliable obstruction data should not be concealed through assumptions that imply greater certainty than the available information supports.
Consider a proposed development on a hillside overlooking a residential area containing established houses and mature trees.
An initial terrain-based viewshed identifies several residential locations with potential visibility towards the proposed structure.
A second model incorporates available surface data representing existing rooftops and tree canopies. Some locations are then classified as non-visible because the modelled sightlines intersect those features.
Before relying on the second result, the project team reviews whether the buildings and trees are accurately represented and whether the surface data reflects current conditions.
Particular attention is given to vegetation because the model may treat canopy surfaces as solid obstructions even where partial visibility is possible through foliage.
The comparison helps explain the influence of represented screening, but does not establish that the development would be completely concealed from every location classified as non-visible.
This is a hypothetical example rather than a reported project outcome.
Frequently Asked Questions
It can. Buildings may be represented using suitable surface elevation data or separate geometry. A viewshed based only on bare-earth terrain generally does not include building screening.
It can include tree canopies where suitable vegetation or surface data is available. However, a standard model may not accurately represent gaps in foliage, seasonal changes or visibility beneath the canopy.
Yes. A model may classify a sightline as obstructed where it intersects a represented canopy surface. That classification does not necessarily establish complete visual screening under real-world conditions.
Differences may arise from data resolution, outdated building or vegetation information, simplified obstruction geometry or the treatment of tree canopies as opaque surfaces.
Proposed landscaping can be represented as a defined modelling scenario where appropriate information is available. The assumed plant height, canopy form and future condition should be documented rather than treated as existing screening.
Site verification may be appropriate where vegetation materially influences the assessment result. The need depends on the project scope, available evidence and significance of the screening assumptions.
Related Knowledge
Explore the wider principles, applications and limitations of visibility modelling.
Understand how terrain and surface elevation data represent different physical features.
See how different height assumptions influence modelled sightlines and visibility results.
Learn how to interpret visible and non-visible areas within the limitations of the model.
Professional Visibility Modelling
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