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Use two linked but separate evidence streams: a wave-exposure analysis to estimate the forcing a site experiences, and repeat shoreline surveys to measure the resulting position of the shore. For enclosed or semi-enclosed waters, NOAA’s Wave Exposure Model (WEMo) combines wind, bathymetry and local depth effects to estimate wind-generated wave height and energy. Shoreline change requires a defined shoreline indicator, a consistent tidal datum, georeferenced observations and a baseline collected before construction. Neither a model output nor a single before-and-after shoreline map proves that restoration caused the change; attribution requires a suitable reference design and consideration of storms, sediment supply, hydrology and other drivers.
What you are measuring
“Wave exposure” and “shoreline change” answer different questions. Wave exposure describes the physical forcing that reaches a site. Shoreline monitoring describes where a chosen shore indicator is located at each observation date and how that position moves. Keeping those evidence streams distinct prevents a common error: treating a modeled wave-energy value as if it were a field observation, or treating a measured shoreline shift as proof that a restoration feature produced it.
- Wave exposure: the wind-generated wave conditions a site is likely to experience, represented by variables such as wave height and derived wave energy.
- Shoreline position: the location of a specified boundary at a specified tidal elevation or operational feature, such as the seaward edge of emergent marsh vegetation.
- Shoreline change: displacement of that same indicator between dates, reported with direction, magnitude and the elapsed time.
- Restoration effect: an inference that requires comparison with an appropriate baseline and, where possible, reference or control locations and information about other coastal drivers.
Write the monitoring question before selecting equipment. A question about whether a marsh edge is retreating across an entire project footprint needs different coverage from a question about scour at a single structure. A performance criterion, habitat boundary or permitting requirement may also dictate the indicator and schedule.
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What NOAA WEMo provides
NOAA’s Wave Exposure Model (WEMo) is designed to estimate wind-generated wave conditions in estuaries, lakes and other enclosed or semi-enclosed waters. It combines wind input, shoreline geometry, bathymetry and local depth-related effects to estimate wave height and derived wave energy. Those outputs can be used to map spatial exposure, explore chronic or extreme wind scenarios and stratify a field-sampling plan.
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The current NOAA overview describes a rebuilt, R-based approach, but does not establish a release number. Check the current WEMo documentation, input requirements, geographic suitability and any validation information when you set up an analysis. Treat every result as a model estimate, not a direct measurement. In particular, do not assume that a tool intended for enclosed or semi-enclosed waters represents every open-coast wave-climate question.
Prepare and document WEMo inputs
A defensible run has an input record that another analyst can inspect. At minimum, document:
- the shoreline or water-body geometry used by the model;
- the bathymetry source, coverage, vertical reference and processing;
- the wind dataset, time period, spatial resolution and treatment of missing data;
- the scenario represented, such as a long-term or “chronic” condition, an extreme wind condition or a storm-surge-related case;
- the coordinate reference system and any resampling or interpolation;
- the WEMo documentation or release information consulted; and
- quality checks, sensitivity tests and any validation against observations.
Use a common spatial grid and coordinate reference system when comparing WEMo output with shoreline or habitat maps. Preserve the raw input layers and the processing script or parameter file so a later monitoring round can be reproduced.
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Field sensors can provide observations at selected points, but the material available for this guide does not prescribe a universal sensor type, deployment depth, sampling interval or duration. Those choices depend on fetch, depth, boat traffic, ice, turbidity, storm exposure, access, power and the decision the data must support.
Use observations to check or refine a model where the decision is sensitive to local conditions, where bathymetry is uncertain, or where waves are affected by structures and vegetation that are poorly represented in the model inputs. Record sensor location, mounting elevation or depth, clock reference, sampling and averaging settings, deployment and recovery dates, maintenance, data gaps and the water-level reference. A short deployment can characterize conditions at that location; it cannot automatically represent the full project footprint or every season.
Do not combine unlike evidence without labeling it
A WEMo estimate, a point-sensor record and a shoreline displacement are different variables with different uncertainty. A useful report presents them in separate panels or tables, states the period and units for each, and then explains the physical connection being tested. For example, a map may show higher modeled exposure on one side of a site, while repeated surveys show whether that side also has greater edge retreat. That pattern is a hypothesis about mechanisms, not proof of causation by itself.
Define the shoreline before collecting a baseline
Select an operational shoreline indicator
A shoreline is not a universal line visible in every image. NOAA’s monitoring manual defines shoreline position relative to a particular tidal elevation and, for wetlands, identifies the lower or seaward extent of emergent marsh vegetation as a practical edge. You may instead need a waterline, a bank toe, a dune crest, a structure edge or another physical boundary. Choose the feature that matches the management question and document exactly how an analyst will identify it.
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Your indicator specification should state:
- the physical feature and whether it is landward or seaward of the habitat;
- the tidal elevation or water-level condition at which it is interpreted;
- how vegetation, wrack, shadows, wave run-up, floating material and gaps are handled;
- whether the line is digitized continuously or represented by points or transects;
- minimum mapping units and rules for ambiguous segments; and
- who reviews difficult locations and how disagreements are resolved.
Keep that definition unchanged across dates whenever possible. If a method or definition must change, maintain an overlap period or reprocess older data so the apparent movement is not simply a change in interpretation.
Use one vertical and horizontal reference framework
Every shoreline position needs a horizontal coordinate reference system and a vertical datum. Tidal stage, water level and survey elevation must be tied to a stated datum. NOAA’s guidance specifically warns that comparisons should use the same tidal datum; otherwise a different water level or elevation definition can look like shoreline movement.
Record the datum name and realization, coordinate reference system, geoid or transformation used for GNSS heights, control points, survey date and time, and observed or predicted water level. A later analyst should be able to determine whether two lines are genuinely comparable without guessing which reference was used.
Choose a shoreline method that matches the inference
| Method | Best use | Strengths | Limits and checks |
|---|---|---|---|
| Orthorectified aerial imagery | Mapping a broad project footprint or long shoreline segments | Large spatial coverage and repeatable image-based mapping | Requires accurate georeferencing and orthorectification, a defined shoreline indicator, suitable acquisition conditions and tidal-datum handling. NOAA’s cited manual recommends at least 1 m spatial resolution for shoreline-monitoring orthomagery; that recommendation is not an accuracy guarantee. |
| RTK GPS/GNSS ground survey | Small projects, accessible shorelines or direct mapping of a feature | Georeferenced points or continuous tracks can be collected in the field | Needs appropriate equipment, correction source, survey control, datum management, field access and trained processing. NOAA presents RTK GPS as an available approach, not a requirement for every project. |
| Fixed transects or reference stakes | Repeated measurements at wetlands or selected shoreline segments | Simple repeat geometry, efficient targeted observations and low data volume | Represents only the selected locations. Layout must capture spatial variation; stakes or other references must remain stable, and direction and indicator definitions must be consistent. |
Compare methods against the spatial extent, expected movement scale, target feature, vertical and horizontal reference systems, repeat schedule, access and safety, processing capacity and total cost. Do not rank one method as universally “most accurate” without a project-specific accuracy requirement and comparative evidence.
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Orthorectified imagery
For imagery, record the camera or platform, acquisition date and time, ground sampling distance, control and checkpoints, orthorectification process, sun and cloud conditions, water level and any portions obscured by tide, vegetation or turbidity. Map the same indicator with the same interpretation rules. At least 1 m spatial resolution is the recommendation stated in NOAA’s 2019 Gulf restoration manual for shoreline-monitoring orthomagery; projects needing to resolve a narrower feature may require a different specification justified by the decision.
RTK GNSS ground mapping
Before fieldwork, determine the required horizontal and vertical precision, correction source, control network, antenna height conventions and datum transformation. Plan access, safety and a method for navigating the edge without trampling habitat. Log occupation time, fix quality, satellite or correction interruptions, points rejected in the field and any line-generalization or smoothing applied during processing.
Fixed transects and stakes
Install references outside the area likely to move, survey their coordinates and elevations, and photograph their condition. Use the same transect bearings and stationing on every visit. Transects should be numerous or strategically placed enough to represent exposure zones, inlets, corners, sediment sources and other known gradients. A few convenient transects cannot support a claim about an entire restoration site unless the spatial inference is explicitly limited to those segments.
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A repeatable monitoring workflow
1. State the decision and scope
Write the performance question in measurable terms: which habitat or shoreline segment is included, what constitutes a change of concern, and whether the objective is description, maintenance, compliance or attribution to restoration. California Coastal Commission monitoring guidance organizes a plan around objectives, features, methods, schedule, reporting, maintenance and performance criteria. Use that structure to assign responsibilities before the first survey.
2. Collect a pre-implementation baseline
Gather shoreline, habitat, bathymetry, water-level and wave-exposure information during design and engineering where possible. The baseline should cover the same area and use the same indicator and references planned for later rounds. Note recent storms, construction disturbance, seasonal vegetation state and unusual water levels so the “before” condition is interpretable.
3. Add an as-built observation
Survey immediately after construction or installation, once the site can be accessed safely. Map the actual footprint, elevations, material placement, plantings, structures and any construction-related scour or fill. This as-built record separates the design condition from what was physically delivered and becomes the starting point for performance follow-up.
4. Choose follow-up timing for the site
There is no single schedule suitable for all restoration sites. Set visits according to the project objective, habitat response, expected natural variability, storm regime, seasonality, permitting requirements and trustee direction. A rapidly adjusting edge may need observations after major events and during early establishment; a stable site may justify longer intervals. State the trigger for an unscheduled survey, such as a defined storm, breach or maintenance action.
5. Survey with stable references and complete metadata
For each observation, preserve the source imagery or GNSS files, control information, datum, water level, instrument or camera details, field crew, weather, tide stage, processing software and version, edits and quality-control decisions. Use immutable identifiers for transects, stakes, image tiles and shoreline segments so records from different dates can be joined without manual name matching.
6. Process each date independently, then compare
Generate a shoreline line, point set or transect intersection for each date using the same indicator rules. Check geometry for gaps, spikes, self-intersections and accidental shifts caused by a changed projection. Overlay dates only after each has passed its own quality checks. Keep an edited copy and the original interpretation so a reviewer can see what changed.
7. Calculate displacement and rates
Report both direction and magnitude. For a transect, calculate the signed distance from the fixed reference along the predefined shore-normal direction; for mapped lines, use a documented shoreline-change method that produces comparable cross-shore displacement. If you annualize a result, show the elapsed time used in the calculation and label the value as a rate over that interval. A short record may capture an episodic storm response rather than a linear trend, so do not imply linear change unless the observation design supports it.
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Report the number of observations, spatial coverage, data exclusions and uncertainty or detection limit used by the project. A movement smaller than the combined positional and interpretation uncertainty should be described as not distinguishable from measurement uncertainty, not as confirmed stability or retreat.
8. Preserve spatial coverage appropriate to the claim
USGS work on GPS beach surveys emphasizes that accurate morphology may require both shore-parallel and shore-normal transects. Conventional land-based surveying can be impractical for dense three-dimensional coverage along long coastal segments. If your conclusion concerns volume, beach shape or an entire shoreline, a sparse set of cross-shore profiles may be insufficient. Match point density and transect orientation to the geometry of the inference, and state which areas were not measured.
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Use wave exposure to design shoreline sampling
After producing a wave-exposure surface, divide the restoration area into exposure classes or physically meaningful zones rather than sampling only the easiest locations. Include transitions, sheltered pockets, open fetch directions, structures, creek mouths and areas with different bathymetry. Use the model to prioritize observations, then test whether the selected zones actually differ in shoreline response.
For every exposure class, retain the wind scenario and time period. “High exposure” is incomplete without saying whether it represents a long-term distribution, a selected extreme wind, or a storm-surge condition. If the project uses several scenarios, keep their outputs separate; averaging them can hide the event that drives the observed erosion.
Wave exposure can also inform field safety and timing. A survey after a large event should document the event date and water level rather than being merged silently into a routine seasonal visit.
Separate observed change from restoration attribution
A repeated shoreline displacement establishes that the chosen indicator moved between observation dates. It does not establish why. Restoration may alter wave transmission, currents, sediment retention, vegetation anchoring or drainage, but the same shoreline can also respond to storms, regional water levels, sediment supply, vessel wakes, channel migration, subsidence and maintenance.
Build a reference or control comparison where feasible
Use nearby reference locations that share relevant physical drivers but are not affected by the intervention, or use a before–after/control–impact design when the geography permits. Match reference and restoration segments by habitat, exposure, orientation, elevation and sediment setting as closely as possible. NOAA guidance notes that reference or control sites can help calibrate and validate remote sensing and characterize spatial variation.
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Record storm history, river or tidal exchange, sediment inputs, dredging, shoreline armoring, vegetation management and water-level anomalies for every interval. The National Park Service describes shoreline markers as products of interacting coastal dynamics; a restoration conclusion should therefore identify the alternative drivers considered and the evidence for ruling them in or out.
Use cautious language for short or irregular records
“The edge moved 4 m landward between the two surveys” is an observation. “The restoration caused 4 m of retreat” is a causal claim that requires more evidence. If a storm occurred between visits, report the displacement as an interval response and analyze the event separately. If reference sites moved similarly, the result may reflect a broader driver rather than a site-specific treatment effect.
Quality-control checklist
- Is the monitoring question tied to a decision or performance criterion?
- Is the shoreline indicator defined in physical and tidal terms?
- Are the horizontal coordinate system and vertical tidal datum recorded and consistent?
- Were baseline and as-built conditions collected with comparable coverage?
- Are imagery acquisition conditions, orthorectification and control documented?
- Are GNSS correction source, control, antenna information and fix quality documented?
- Are transects and stakes stable, uniquely identified and surveyed in the same direction?
- Does the sampling density support the spatial claim being made?
- Are WEMo inputs, scenario, time period and geographic suitability documented?
- Are model estimates, sensor observations and shoreline positions reported as separate evidence types?
- Are storms, tides, sediment supply, hydrology and other disturbances recorded?
- Are displacement direction, magnitude, elapsed time and uncertainty reported together?
- Are exclusions, edits and processing steps reproducible?
- Does the attribution analysis include suitable reference locations or clearly state that it is descriptive only?
How to report results so they remain defensible
Present a site map showing the restoration footprint, shoreline segments, transects, control points, exposure zones and areas not surveyed. Pair it with a table containing observation date, water level or tidal condition, shoreline indicator, method, coverage, datum and quality flags. A second table can report displacement by segment, signed direction, elapsed time, annualized rate when justified, uncertainty and reference-site comparison.
Keep the wave-exposure analysis reproducible with an input inventory and scenario table. Show whether the output is estimated wave height, derived energy or another metric, and avoid placing units or thresholds on a map without defining the calculation. Explain which conclusions are direct observations, which are model estimates and which are interpretations that depend on assumptions.
For sites outside the Gulf region, treat NOAA’s 2019 and 2021 Gulf restoration manuals as methodological guidance rather than a substitute for local requirements. Confirm local tidal datums, habitat definitions, regulatory reporting rules, survey standards and imagery specifications before adopting their examples.
Bottom line for a restoration monitoring plan
Start with a defined shoreline indicator and a decision, establish a pre-construction baseline and an as-built record, then repeat georeferenced observations on a schedule matched to the site’s variability. Use WEMo where its enclosed- or semi-enclosed-water assumptions and inputs fit the question, and document whether the output represents chronic or extreme conditions. Choose imagery, RTK GNSS or fixed transects according to spatial coverage and access—not by assuming one method is universally best. Finally, treat movement as an observation until a baseline, reference design and analysis of storms and other drivers support a restoration attribution.
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