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Shallow Water Mapper · LUWES

Explore shallow-water depths.

Turn satellite imagery into an initial view of shallow-water depth patterns. Shallow Water Mapper brings imagery, map processing and field reference points together to help plan the next survey.

  • Satellite imagery
  • Field reference data
Before you order
Shallow Water Mapper example showing predicted coastal depth layers and contours around Satonda
Example processing view: satellite imagery, predicted depth layer and contours. This is a saved example, not a live map.

From imagery to a first map

Three inputs to a better survey plan.

The aim is to understand patterns and identify areas for closer review. Reference measurements help assess how the estimates behave at your location.

01

Choose the area and imagery

Set the mapping boundary and select suitable Landsat or Sentinel imagery. Review dates, clouds and visible water conditions.

02

Prepare and estimate

Correct the imagery, inspect colour and near-infrared information, then run depth prediction and review the mapped patterns.

03

Compare with field points

Compare estimates with measured depth points. Use the findings to plan validation and further field work.

See what changes after processing.

These views show the same example area. The first provides geographic context; the second adds a predicted depth layer and contours for review.

01 · Satellite context

Satellite imagery of Satonda in the Shallow Water Mapper map view
The starting view: land, coast and surrounding water.

02 · Predicted depth layer

Depth prediction example with a colour legend and contour overlay around Satonda
Read the legend and processing settings. A colour alone does not establish a measured depth.

Plan a closer look

Identify areas where field depth measurements could add useful context.

Review the coast

Bring an initial map into planning, resource reviews and research discussions.

Keep results traceable

Record the imagery date, model settings and field reference points alongside the map.

Follow the evidence behind the map.

The working views make the processing steps visible. Expand the examples to inspect imagery layers and the comparison with measured depths.

Imagery and spectral layers

The example separates colour and near-infrared bands. Dates, cloud cover and image correction affect which information can support the analysis.

SWM interface showing Sentinel image layers and the imagery download settings
Comparison with field measurements

Each dot compares a model result with a reference depth. The scatter and fit statistics need to be assessed for this dataset; this example is not a general accuracy guarantee.

SWM comparison scatter plot between predicted raster values and reference depth Z

Water clarity, seabed conditions, waves, clouds and reference data affect the result. Use these maps for preliminary planning, with field validation and professional survey work where required.

Make an informed choice

Is satellite mapping suitable for your water area?

Shallow Water Mapper estimates shallow-water depth patterns from satellite imagery and field reference data. It can help assess a wider area before planning further surveys. Begin with the water conditions and intended use of the map so unsuitable areas are identified early.

Water clarity affects what the image can tell you

Cloud, reflected light, turbid water and a bottom that is not visible can limit image-based depth estimates. An assessment should check available image dates and usable coverage before promising a complete map. Deep or very cloudy water may need another survey method. Do not assume every coloured pixel represents a reliable depth measurement.

Field measurements are part of checking the result

Reference depths help build and check the estimation. Their dates, position and height reference must suit the imagery and project. Ask which points are used to develop the result and which independently check it. Tide or changing water level needs attention when relevant. A familiar-looking map is not a substitute for documented uncertainty and limits.

Agree what files and explanations you need

Discuss the area boundary, map scale, coordinate system, imagery, field work and output formats. Ask for usable-area masks, validation results and a clear account of locations that could not be assessed. Define whether the scope ends at an initial depth map or includes additional field surveys, report preparation and support for your mapping software.

Use the result within its agreed purpose

An initial map can help identify places to investigate, compare broad patterns and plan survey effort. It should not automatically be treated as a certified navigation, dredging or engineering survey. Ask whether the proposed method and validation meet the requirements of your decision. The quotation should separate imagery, processing, field work, review and further survey costs.

Questions before you buy

Does it measure depth directly like sonar?

No. It estimates depth from image information using a defined method and suitable reference data.

Can it map muddy water?

Turbidity can limit the method. Review sample imagery and coverage before deciding whether another survey is needed.

Do we still need field measurements?

Discuss suitable reference and independent checking data. Their availability determines how the result can be assessed.

Is the map suitable for navigation?

Do not assume that. Navigation requires the applicable survey and approval requirements, beyond an initial depth estimate.

Can we open the result in our GIS?

Agree supported formats, coordinate reference and required layers. GIS is software for working with geographic information.

What should a first assessment provide?

Usable imagery, likely coverage, reference-data needs, limitations and a clear scope for the next stage.

References for the explanation

These explain measurement or system principles. The equipment and service offered are confirmed in your quotation.

Which shallow-water area would you like to understand?

Share the area, purpose and field data you already have. We can discuss suitable imagery, validation and the expected mapping output.