G01 · METHOD · earth-observationGCRI dossier · service level R0
GCRIWater NexusEstablished
Method page · Earth observation and remote sensing

Earth observation and remote sensing in water

Satellites see the whole basin at once and return every few days: surface water, soil moisture, snow, vegetation stress and, after an event, the extent of the flood. Earth observation fills the gaps that thinning gauge networks leave.

Publisher
The Global Centre for Risk and Innovation
Field
Water, Climate and hazards, Critical infrastructure
Status
Established
Service level
R0: information and enquiries
Research workbench, illustrative interfaceAn illustrative research workbench: a compound drought and heat scenario with an observed history and a scenario range, a model card listing method, version, inputs, uncertainty and review, and three policy options compared side by side.SCENARIOCompound drought and heatWATER · ENERGY · HEALTH · ILLUSTRATIVEMODELLED1007550250T0T+1T+2T+3T+4T+5NOWOBSERVEDSCENARIO RANGEGRID STRESS INDEX · PLACEHOLDERMODEL CARDMETHODCoupled hydro-energyVERSIONv2.1INPUTSVersioned sourcesUNCERTAINTYEnsemble rangeREVIEWDomain reviewPOLICY OPTIONSDemand response01Reservoir rules02Hospital backup03

Water NexusWireframe of the working environment, not a live screen. Names and values are placeholders.

STEM methods
9
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
10
Platforms in shared fields at GCRI, GRF and GRA
Report series
3
Nexus Reports series it contributes to
01Application

Earth observation and remote sensing in water, climate and hazards and critical infrastructure.

Earth observation and remote sensing gather information about the Earth’s surface and atmosphere from airborne and spaceborne sensors. They provide consistent, repeatable measurements over areas that are hard to monitor on the ground. In water, climate and hazards and critical infrastructure, earth observation maps exposure, damage and environmental change across borders and sectors. It supports rapid assessment after disasters and long-term monitoring of risk drivers. The canonical description is on the STEM Commons.

Flood extent from radar

Synthetic-aperture radar sees through cloud. Change detection between a dry reference and the event image maps open water at ten metres, within hours of acquisition.

Surface water and reservoir monitoring

Optical time series track reservoir area and seasonal wetlands over decades, giving a storage proxy where operators do not publish levels.

Drought stress from vegetation and soil moisture

Vegetation indices, land-surface temperature and radiometer soil moisture are combined into drought indicators that agree, or disagree, with rainfall indices.

02Field

Water Nexus on the map.

Where this page’s subject sits in the world: boundaries and context now, the field layers when the interactive map loads.

Field · world viewDesign figure until live
World map, Equal Earth projectionLand and country boundaries from Natural Earth at 1:110 million, drawn in the Equal Earth projection with a fifteen degree graticule. The interactive map with its layers loads through the Nexus Foundry plugin.
GCRI · Water Nexus · fieldDESIGN FIGURE

MapWorld map in the Equal Earth projection, land and boundaries from Natural Earth (public domain). The interactive map loads through the Nexus Foundry plugin (globe or flat view).

03Canvas

The method as a run graph.

Data from the source register feeds the methods; calibration and an independent test gate the estimate and its limits; the decision stays with the competent authority.

Method canvas · Earth observation and remote sensing as applied hereDesign, not a record
Earth observation and remote sensing in Water Nexus: the method as a run graphData from the source register feeds the methods; calibration and an independent test gate the estimate and its limits; the decision stays with the competent authority. Design of the method’s use, not a record of a run.runs / water-nexus / stem / earth-observationDESIGN RUN+−FITPLAYLAYOUT · LRSOURCE REGISTEREARTH OBSERVATION AND REMOTE SENSINGVALIDATIONOUTPUTSAUTHORITYOptical…DATASETsource registerlabel carriedDONESynthetic apertu…DATASETsource registerlabel carriedDONEThermal infrared…DATASETsource registerlabel carriedDONEAirborne lidarDATASETsource registerlabel carriedDONEImage classifica…MODELEarth observation…assumptions statedRUNNINGSpectral index…MODELEarth observation…assumptions statedDONESynthetic apertu…MODELEarth observation…assumptions statedDONEChange detectionMODELEarth observation…assumptions statedDONECalibrationGATEfit on one periodtest on anotherGATEIndependent testGATEheld-out dataskill reportedQUEUEDEstimate with ra…DATASETuncertainty attachedlabel: MODELLEDQUEUEDLimits statementTASKwhat it cannot sayversionedQUEUEDDecisionDECISIONcompetent authorityunder its own rulesAUTHORITYRUN TIMELINE · ONE APPLICATIONDataFitTestEstimateDecideOptical…Synthetic aperture…Thermal infrared…Airborne lidarImage classificationSpectral index…Synthetic aperture…NOWINSPECTOR · SELECTED NODECalibration · gateOWNERWater Nexus · method stewardINPUTS4 method runsCHECKProducts are assessed against ground reference data using…EVIDENCEskill on the test period onlyUNLOCKSindependent test

Fig. 01Nodes carry their type, metrics and state; connectors show what feeds what; the gates are the validation steps; the timeline is one application. Design of the method’s use, not a record of a run.

04Data

What the method consumes.

Datasets and records used by earth observation and remote sensing on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.

DataRoleLabel
Sentinel-1 radarFlood extent, soil moistureOBSERVED
Sentinel-2 and Landsat opticalSurface water, vegetation stressOBSERVED
SMAP and SMOS radiometersSoil moistureMODELLED
GRACE-FO gravimetryTerrestrial water storage anomalyMODELLED
MODIS and VIIRSSnow cover, land-surface temperatureOBSERVED
05Validation

How results are checked.

Products are assessed against ground reference data using accuracy matrices and independent samples. Cross-calibration between sensors checks consistency over time.

CheckHow it is done
Ground referenceFlood masks are scored against surveyed high-water marks and gauge-derived extents
Cross-sensor consistencyProducts from different satellites are compared over the same period before a trend is quoted
Cloud and revisit gapsEvery product states its coverage; missing scenes are reported as no data, not as no change

Clouds, revisit gaps and mixed pixels limit what can be observed. Changes in sensors and processing can create artificial trends.

07Stewardship

Who maintains the method.

Space and Earth Observation stewards earth observation and remote sensing for the Consortium and reviews how it is applied across platforms.

08Connected

Where this page leads across the Consortium.

LinkRelationshipWhy
Earth observation and remote sensingCanonical method pagePlatform application links to the canonical method page.
Earth observation and remote sensing in space and earth observationSteward platformSpace and Earth Observation stewards this method.
09Questions

Questions and answers.

What are the limits of earth observation and remote sensing in this field?
Clouds, revisit gaps and mixed pixels limit what can be observed. Changes in sensors and processing can create artificial trends.
How are results checked?
Products are assessed against ground reference data using accuracy matrices and independent samples. Cross-calibration between sensors checks consistency over time.
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.
Water Nexus

Bring your expertise to this field.

The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.

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