GCRI · Oceans and Coasts

Coastal engineering

Environmental and coastal engineering design defences, drainage, wastewater treatment and nature-based coastal protection. In this field they turn ocean evidence into options for protecting people and reducing pollution at the coast.

01Register

Coastal engineering on the record.

Method recordSTEM method
  1. MethodWater and environmental engineering
  2. Applied inOceans and Coasts
  3. Canonical pageSTEM Commons
02Application

What water and environmental engineering does here.

Water and environmental engineering designs systems for water supply, wastewater treatment, drainage and pollution control. It protects public health and ecosystems while meeting the demands of cities, industry and agriculture. In oceans and coasts, climate and hazards and biodiversity and nature, environmental engineering connects hydrological hazards to service continuity and public health. It informs investment in water infrastructure that supports food, energy and urban resilience. The canonical description is on the STEM Commons.

Coastal defence options

Seawalls, dikes, beach nourishment, managed realignment and mangrove restoration are compared for protection, cost, adaptability and effects on neighbouring coasts.

Coastal wastewater planning

Sewage and stormwater discharges are assessed for their contribution to coastal pollution and options for treatment.

Adaptation pathways

Sequences of coastal measures are planned with triggers for switching as sea level rises, keeping options open.

03Geography

Water now in Pacific Island states.

Rain, flood water and root-zone soil moisture over Pacific Island states, from NASA GIBS. Each layer carries its own date.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 3

Water now, for this page

About this layer
Evidence
Estimated
Source
GPM IMERG (NASA GES DISC)
Provider
NASA GES DISC
Licence
NASA open data
Vintage
daily; Satellite estimate, near real time
Newest at build
2026-10-12
Resolution
about 2 km grid
Uncertainty
Satellite estimate, near real time. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds leave gaps)
Source
VIIRS Global Flood Product (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite detection; clouds leave gaps
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite detection; clouds leave gaps. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Modelled
Source
SMAP Level 4 (NASA NSIDC DAAC)
Provider
NASA NSIDC DAAC
Licence
NASA open data
Vintage
daily; Model with satellite data assimilated
Newest at build
2026-10-11
Resolution
about 2 km grid
Uncertainty
Model with satellite data assimilated. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Modelled (latest year GIBS publishes)
Source
MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
Provider
NASA LP DAAC
Licence
NASA open data
Vintage
yearly; Satellite classification; latest year GIBS publishes
Newest at build
2024-01-01
Resolution
about 500 m grid
Uncertainty
Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed
Source
GHRSST MUR25 (NASA JPL PO.DAAC)
Provider
NASA JPL PO.DAAC
Licence
NASA open data
Vintage
daily; Satellite analysis
Newest at build
2026-10-12
Resolution
about 2 km grid
Uncertainty
Satellite analysis of how far sea temperature departs from its usual value for the date shown; a marine heat indicator, not a coral bleaching alert.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed
Source
VIIRS NOAA-20 corrected reflectance (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite image
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

Water now, framed on Pacific Island states.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · NASA JPL OPERA DIST-ALERTSources and licences

  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • SMAP Level 4 soil moisture and snow mass, NASA Global Modeling and Assimilation Office; distributed by the NASA National Snow and Ice Data Center DAAC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • GHRSST Level 4 MUR analyses, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • Live: NASA EONET Events are indicative, not authority warnings.
  • Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • River discharge forecast, 30 days with range (GloFAS via Open-Meteo): Contains modified Copernicus Emergency Management Service information 2026; not a flood warning.
  • Past year, daily temperature (ERA5 via Open-Meteo): Contains modified Copernicus Climate Change Service information 2026.
  • Past year, daily temperature and sunshine (NASA POWER): These data were obtained from the NASA Langley Research Center (LaRC) POWER Project funded through the NASA Earth Science/Applied Science Program..
  • Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
  • Optional layers (14 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Root-zone soil moisture, 0 to 100 cm: SMAP Level 4, NASA NSIDC DAAC · 11 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC · 12 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026

04Data

What the method consumes.

Datasets and records used by water and environmental engineering on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.

DataRoleLabel
Extreme sea levels and wavesDesign conditionsESTIMATED
Coastal asset dataProtected valuesPublished statistics
Discharge recordsPollution loadsREPORTED
05Monitor

Field sampling.

The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.

Field sampling

Oceans and coasts · Coastal engineering · Run R-1357

Three sites overdueGCRI · Oceans and Coasts

Sampling sites

red: result above guideline

Circle size: exposure value · exampleN

Latest results

S-18Extreme11.48Below
S-32Marine2.67Below
S-50Fish3.99Below
S-37Coral3.67Above

Trend at selected site

Field sampling: the screen’s structure, terms and states for Oceans and coasts.Example names and illustrative values; a design, not a record or a live system.
06Validation

How results are checked.

Designs are verified against regulatory standards and pilot testing. Network models are calibrated with field pressure and flow measurements.

CheckHow it is done
Design standard reviewDefence designs state the sea level and wave conditions used
Downdrift effectsEffects of structures on neighbouring coasts are assessed
Pathway triggersAdaptation triggers are linked to monitored indicators

Ageing assets and incomplete records limit model accuracy. Emerging contaminants and changing rainfall patterns challenge existing designs.

07Twin and cascade simulator

Model coastal engineering as a system. Run the cascade.

Assembled from the Nexus Standards area profile Oceans and coasts risk standards: the hazards it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.

Hazards

  • Sea-level rise
  • Storm surge
  • Coastal erosion
  • Heatwave
  • Ocean acidification
  • Harmful algal bloom
  • Extreme fire weather (set off downstream)
  • Wildfire (set off downstream)
  • Heat-driven grid stress (set off downstream)
  • Agricultural drought (set off downstream)
  • Flash drought (set off downstream)
  • Snow drought (set off downstream)
  • Ground-level ozone episode (set off downstream)
  • Meteorological drought (set off downstream)
  • River flood (set off downstream)
  • Coastal flood (set off downstream)
  • Estuary flood (set off downstream)
  • Mass displacement (set off downstream)

Controls

  • NS-0 Constitution and principles
  • NS-1 The UNI and the artefact catalogue (grammar v0.2: domain, sector, region and environment segments)
  • NS-3 Risk record UNIs (grammar, legacy crosswalk, allocation authority)
  • NS-3b Dataset and product metadata profile (STAC, DCAT, PROV-O)
  • NS-5 Figure, map and visualisation standard (with the UI/UX kit)
  • NS-9 Contextual UNIs (deployments, instances, programme instances)
  • NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)
  • NRS-X3 Oceans and coasts risk
  • NRS-H11 Hazard family: Coastal and sea-level hazards (NHS-1 water.coastal)
  • NRS-H79 Hazard family: Mental health crises (NHS-1 health.mental)
  • NRS-H12 Hazard family: Ocean-state extremes (NHS-1 water.ocean-state)
  • NRS-H67 Hazard family: Ocean circulation and marine tipping (NHS-1 planet.ocean-tipping)
  • NRS-K18 Domain pack profile: Oceans coastal (DOMAIN-018)

Observation

  • Copernicus Marine Service ocean products (listed for reference)
  • Coral Reef Watch daily 5 km heat stress products (listed for reference)
  • PSMSL tide gauge mean sea level records (listed for reference)
  • GEBCO global bathymetric grid (listed for reference)
  • Argo float profiles (listed for reference)
  • Average marine acidity (pH) measured at agreed suite of representative sampling stations
  • Index of coastal eutrophication and floating plastic debris density
  • Direct economic loss attributed to disasters in relation to GDP, including damage to critical infrastructure

Example geography

  • Pacific Island states: 150 hexagonal cells
  • Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
  • Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
  • Rain rate, last half hour (IMERG), NASA GIBS
  • Surface air temperature, daytime (AIRS), NASA GIBS
09Risk and response

Coupled risk, applied response.

The sectors coastal storm surge touches and how strongly they depend on each other: what a study has to observe and model together.

Choose a context

ACoupled risk across six sectors10 / 15 relations

Sectors · Coastal storm surgeStress

Illustrative: a teaching cascade over teaching values, not measurements.
BApplied response across six pillars12 / 18 handoffs

Pillars · Coastal storm surgeKPI

Illustrative applications; the values are published benchmarks, cited in the readout.

In this contextDependence or handoff, heavier is strongerOutside this context

Context

Coastal storm surge

Mangroves and dunes absorb the surge; where they are gone, ports, substations and water intakes take it.

W · E · I · F · H · B

Risk

Sectors
5 of 6
Relations
10 of 15
Coupling
0.64 share of total

Hover a corner, a line or a row to trace it across both sides.

Route

Applied to coastal storm surge

L · F · U · S · R · A

Response

Pillars
5 of 6
Handoffs
12 of 18
Loops
8 closed

Expected value

What is at stake
$390Ba year at least, in infrastructure disruption costs to households and firms in low- and middle-income countriesWorld Bank, Lifelines, 2019
Return on resilience
4 : 1benefit to costWorld Bank, Lifelines, 2019
Avoided loss
$80Bflood losses avoided a yearGlobal Commission on Adaptation, Adapt Now, 2019

Hover a pillar, a line or a row to read how it is applied.

A: a teaching cascade (shock 0.6, gain 0.35, four rounds) over teaching values for a typical city-region, not measurements. B: illustrative applications and the KPI each pillar answers for; values are published benchmarks, cited, not forecasts. Open events: NASA EONET, live.

10Stewardship

Who maintains the method.

Water Nexus stewards water and environmental engineering for the Consortium and reviews how it is applied across platforms.

11Methods and evidence

How coastal engineering is modelled, measured and tested.

The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.

Earth observation chain

How a satellite or sensor record becomes evidence on coastal engineering, and where each step adds uncertainty.

  1. 01 · Acquireorbit, sensor and revisitUncertainty: gaps from cloud and orbit
  2. 02 · Calibrateradiometric and geometricUncertainty: sensor drift
  3. 03 · Correctatmosphere and terrainUncertainty: aerosol and slope assumptions
  4. 04 · Retrieve or classifythe variable or the classUncertainty: model and training error
  5. 05 · Validateagainst ground truthUncertainty: sample design and size
  6. 06 · Publishwith error bars and lineageUncertainty: stated, never hidden
Processing chain in the CEOS Analysis Ready Data sense; each step records its uncertainty before a figure is drawn. A generic structure, not results.
FAIR guiding principles · GO FAIR and FORCE11W3C PROV · World Wide Web ConsortiumGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
13Process

How the process runs.

Process

Coastal engineering: Source to evidence record

A source is registered and assessed, its record labelled and classified, and a Digital Evidence Passport carries provenance; a correction reaches every dependent record.

  1. 01 Intake

    1. 01Identify the sourceSource · The source stewardDiscovery is not ingestion. Source identification records the source class, steward, institutional role and jurisdiction.
    2. 03Register the sourceStepRegistration makes a discovered source a governed participant in the evidence lifecycle. It implies no endorsement or certification.
  2. 02 Assessment

    1. 04Jurisdiction and rights classificationGateRights classification identifies licence, consent, confidentiality and reuse limits. The result determines access and routing.
    2. 05Evidence quality assessmentStepQuality assessment decides whether a record is fit for a defined use. Quality is multidimensional and never a single score.
    3. 06Evidence labelStepEvery finding carries one of nine evidence labels. Missing data is shown as missing, never as zero.
  3. 03 Record

    1. 07Evidence classificationRecordClassification gives records lifecycle states, such as source-verified, public-safe or restricted. States can coexist and set evidence use.
    2. 08Source release and identifierRecord · NXS-GRX (canonical data, provenance and risk)A source release records rights, temporal coverage and source lineage. A UNI is allocated through a catalogue and never typed by hand.
    3. 09Digital Evidence PassportRecordThe passport records provenance, quality, rights, jurisdiction, permitted use and history, so evidence keeps its context when it travels.
  4. 04 Use and correction

    1. 02Correction reaches dependent recordsStep · NXS-GRX (canonical data, provenance and risk)A source correction propagates to dependent cuts and products without rewriting old results.
    2. 10Public-safe reviewGatePublic-safe review decides whether a record can be shared publicly. It is a distinct stage and is not validation.

Data protocols: evidence lifecycle · Data protocols: core data objects and evidence records · The Global Risks Index (NXS-GRX)Designed programme process, not a record of operation. No cycle has run and every programme is at service level R0. A gate is a programme decision, never a public-authority approval, certification or deployment authorisation. The data-protocol pages describe a design, not a running system.

14Questions

Questions and answers.

What are the limits of water and environmental engineering in this field?
Ageing assets and incomplete records limit model accuracy. Emerging contaminants and changing rainfall patterns challenge existing designs.
How are results checked?
Designs are verified against regulatory standards and pilot testing. Network models are calibrated with field pressure and flow measurements.
Are the values on this page real?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
Where else is this method applied?
The canonical method page lists every platform that applies it.
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