Aquamonitor using OpenEO on C-Scale
has assertion: assertion
has provenance: provenance
has publication info: pubinfo
type: Nanopublication
created: 2026-05-11T16:12:16.130+02:00
creator: RoCrateBot
type: FAIRDigitalObject
type: RoCrateNanopub

Hydrology
type: DefinedTerm

Applied sciences
type: DefinedTerm

Earth observation
type: DefinedTerm

Horizon 2020
doi: 10.13039/501100007601
type: Organization

GitHub link
date created: 2023-04-14 08:04:12.716903+00:00
date modified: 2023-04-14 08:04:14.258695+00:00
license: no-permission
sd date published: 2023-04-14 08:04:12.716903+00:00
type: Resource
type: MediaObject
type: SWDocumentation

Copernicus - eoSC AnaLytics Engine
title: Copernicus - eoSC AnaLytics Engine
type: Grant

POINT (4.380591809749604 51.98576224073843)
latitude: 4.380591809749604
longitude: 51.98576224073843
type: GeoCoordinates

POINT (4.380591809749604 51.98576224073843)
type: Place

Aquamonitor using OpenEO on C-Scale
about: Hydrology
about: Applied sciences
about: Earth observation
content size: 337358
date created: 2023-04-14 07:48:33.499868+00:00
date modified: 2025-10-17 20:05:13.567415+00:00
date published: 2023-04-14 07:48:33.499868+00:00
description: With this notebook a user can easily deploy a workflow that produces satellite derived land surface changes for a geographic area of interest. The resultant output of the workflow visualises where surface water has become land (due to accretion, land reclamation, droughts) or vice versa where land has become surface water (due to erosion, reservoir construction). The service is based on the paper by Donchyts et al. (2016): "Earth's surface water change over the past 30 years". More information about the application can be found at https://www.deltares.nl/en/software/aqua-monitor/. And a Google Earth Engine implementation of the application can be found at https://aqua-monitor.appspot.com/
encoding format: application/ld+json
funding: Copernicus - eoSC AnaLytics Engine
has part: GitHub link
license: no-permission
main entity: Jupyter Notebook
publisher: en
creation mode: MANUAL
type: ResearchObject
type: LiveRO
type: WorkflowResearchObject
type: Dataset
template: https://w3id.org/ro/terms/earth-science#WorkflowCentricResearchObjectTemplate
cite-as: Langemeijer, Jaap. "Aquamonitor using OpenEO on C-Scale." ROHub. Apr 14 ,2023. https://w3id.org/ro-id/bf39cd09-14d8-4a9c-8d52-d50ef322ab4c.

https://w3id.org/ro-id/bf39cd09-14d8-4a9c-8d52-d50ef322ab4c/a3e9caad-f8f7-42c7-b10d-ac8ff11126e4
as WKT: POINT (4.380591809749604 51.98576224073843)
type: Geometry
type: Point

biblio
type: Folder
type: Dataset

config
type: Folder
type: Dataset

datasets
type: Folder
type: Dataset

workflows
type: Folder
type: Dataset

results
type: Folder
type: Dataset

main
type: Folder
type: Dataset

nested
type: Folder
type: Dataset

inputs
type: Folder
type: Dataset

components
type: Folder
type: Dataset

Aquamonitor Notebook
content size: 35155
date created: 2023-04-14 08:08:38.291783+00:00
date modified: 2023-09-27 12:41:22.338274+00:00
license: no-permission
sd date published: 2023-04-14 08:08:38.291783+00:00
type: Resource
type: MediaObject
type: JupyterNotebook

aqua_monitor.png
content size: 317065
date created: 2023-04-14 08:00:30.954682+00:00
date modified: 2023-04-14 08:00:32.198700+00:00
encoding format: image/png
license: no-permission
sd date published: 2023-04-14 08:00:30.954682+00:00
type: Sketch
type: Resource
type: MediaObject

C-SCALE Community
description: Enabling Copernicus Big Data Analytics through EOSC
type: community

implementation
type: Concept
norm score: 7.151230949589683
score: 6.1

satellite
type: Lemma
norm score: 8.957952468007313
score: 4.9

satellite
type: Concept
norm score: 6.682297772567409
score: 5.7

surface water
type: Lemma
norm score: 15.356489945155392
score: 8.4

monitor
type: Concept
norm score: 5.978898007033997
score: 5.1

2016
type: TimeReference

output of the workflow
type: Phrase
norm score: 25.471698113207548
score: 18.9

http
type: Concept
norm score: 10.082063305978899
score: 8.6

Google Earth Engine implementation
type: Phrase
norm score: 18.463611859838277
score: 13.7

output
type: Concept
norm score: 5.978898007033997
score: 5.1

land surface change
type: Phrase
norm score: 10.107816711590297
score: 7.5

reclamation
type: Concept
norm score: 4.2203985932004695
score: 3.6

workflow
type: Concept
norm score: 21.336459554513482
score: 18.2

surface
type: Concept
norm score: 6.916764361078546
score: 5.9

earth sciences
type: FieldOfResearch
norm score: 100.0
score: 0.9175669550895691

land reclamation
type: Phrase
norm score: 21.832884097035045
score: 16.2

reservoir construction
type: Phrase
norm score: 24.12398921832884
score: 17.9

armed forces
type: Domain
norm score: 52.94117647058823
score: 1.8

user
type: Concept
norm score: 6.56506447831184
score: 5.6

implementation
type: Lemma
norm score: 10.054844606946983
score: 5.5

over the past 30 years
type: TimeReference

construction
type: Concept
norm score: 5.744431418522861
score: 4.9

workflow
type: Lemma
norm score: 29.433272394881172
score: 16.1

http
type: Lemma
norm score: 14.076782449725776
score: 7.7

earth resources and remote sensing
type: NASA
norm score: 100.0
score: 0.9246182441711426

notebook
type: Lemma
norm score: 12.614259597806216
score: 6.9

geosciences
type: NASA
norm score: 100.0
score: 0.9246182441711426

With this notebook a user can easily deploy a workflow that produces satellite derived land surface changes for a geographic area of interest.
type: Sentence
norm score: 62.63616557734205
score: 57.5

geology
type: FieldOfResearch
norm score: 100.0
score: 0.9175669550895691

area
type: Concept
norm score: 5.275498241500586
score: 4.5

service
type: Concept
norm score: 4.6893317702227435
score: 4.0

laptop
type: Concept
norm score: 9.378663540445487
score: 8.0

https://w3id.org/ro-id/enrichment/df24466b-9de3-4b29-b3b0-743a53874eb1
name: The resultant output of the workflow visualises where surface water has become land (due to accretion, land reclamation, droughts) or vice versa where land has become surface water (due to erosion, reservoir construction)
type: Sentence
norm score: 22.984749455337692
score: 21.1

agriculture
type: Domain
norm score: 47.05882352941176
score: 1.6

Drought
type: IPTC
path: Disaster, accident and emergency incident/Disaster/Natural disasters/Drought

https://w3id.org/ro-id/enrichment/f76be61e-257e-40f8-9d1f-bd8e0d09d1b7
name: The service is based on the paper by Donchyts et al. (2016): "Earth's surface water change over the past 30 years". More information about the application can be found at https://www.deltares.nl/en/software/aqua-monitor/. And a Google Earth Engine implementation of the application can be found at https://aqua-monitor.appspot.com/
type: Sentence
norm score: 14.379084967320262
score: 13.2

surface
type: Lemma
norm score: 9.506398537477148
score: 5.2

Deltares
type: Agent

Jaap Langemeijer
type: Agent

service-account-enrichment
type: Agent

sig
has algorithm: RSA
signed by: RoCrateBot