Data

Water Count Time Series - Landsat, DES Algorithm, Queensland

Terrestrial Ecosystem Research Network
Department of Environment and Science (2017-2023), Queensland Government
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/551324f6-54ce-4810-bf0e-4f3fa12afef1&rft.title=Water Count Time Series - Landsat, DES Algorithm, Queensland&rft.identifier=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/551324f6-54ce-4810-bf0e-4f3fa12afef1&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=This dataset indicates the presence and persistence of water across Queensland between 1988 and 2022. Water is one of the world’s most important resources as it’s critical for human consumption, agriculture, the persistence of flora and fauna species and other ecosystem services. Information about the spatial distribution and prevalence of water is necessary for a range of business, modelling, monitoring, risk assessment, and conservation activities. The water count product is based on water index and water masks for Queensland (Danaher & Collett 2006) and represents the proportion of observations with water present across the Landsat time series as a fraction of total number of possible observations for the period 1 Jan 1988 to 31 Dec 2022. The product has two bands where band 1 is the number of times water was present across the time series, and band 2 is the count of unobscured (i.e. non-null) input pixels, or number of total observations for that pixel. Cloud, cloud-shadow, steep slopes and topographic shadow can obscure the ability to count water presence.Water mask - The automatic water mask available for detecting water and non-water signatures from Landsat satellite imagery for a single date. Water presence/absence is assessed for each 30 m Landsat pixel. This is the primary product used to develop the water count and water prevalence products, which are based on the Landsat time series (1 Jan 1989 to 31 Dec 2021). Water count - The water count product is calculated, per pixel, as the sum of number of observations with water present across the Landsat time series as a fraction of total number of possible observations for the period 1 Jan 1989 to 31 Dec 2021. Water prevalence - The water prevalence product is extracted from the water count product and classified by proportions of observations with water present.Progress Code: onGoingMaintenance and Update Frequency: biennially&rft.creator=Department of Environment and Science (2017-2023), Queensland Government &rft.date=2024&rft.edition=1&rft.coverage=Queensland&rft.coverage=northlimit=-9.5; southlimit=-29.2; westlimit=138; eastLimit=154; projection=EPSG:3577&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_rights=TERN services are provided on an as-is and as available basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. <br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting&rft_rights=Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.&rft_subject=inlandWaters&rft_subject=imageryBaseMapsEarthCover&rft_subject=SURFACE WATER&rft_subject=EARTH SCIENCE&rft_subject=TERRESTRIAL HYDROSPHERE&rft_subject=Surface water hydrology&rft_subject=LANDSAT-9&rft_subject=LANDSAT-7&rft_subject=LANDSAT-8&rft_subject=OLI&rft_subject=water count (Fraction)&rft_subject=Fraction&rft_subject=1 meter - < 30 meters&rft_subject=biennial&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 4.0 International Licence
http://creativecommons.org/licenses/by/4.0

TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting

Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

Access:

Open view details

unclassified

Contact Information

Street Address:
Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
QLD 4068
Australia
Ph: +61 7 3365 9097

esupport@tern.org.au

Brief description

This dataset indicates the presence and persistence of water across Queensland between 1988 and 2022. Water is one of the world’s most important resources as it’s critical for human consumption, agriculture, the persistence of flora and fauna species and other ecosystem services. Information about the spatial distribution and prevalence of water is necessary for a range of business, modelling, monitoring, risk assessment, and conservation activities. The water count product is based on water index and water masks for Queensland (Danaher & Collett 2006) and represents the proportion of observations with water present across the Landsat time series as a fraction of total number of possible observations for the period 1 Jan 1988 to 31 Dec 2022. The product has two bands where band 1 is the number of times water was present across the time series, and band 2 is the count of unobscured (i.e. non-null) input pixels, or number of total observations for that pixel. Cloud, cloud-shadow, steep slopes and topographic shadow can obscure the ability to count water presence.

Lineage

Water mask - The automatic water mask available for detecting water and non-water signatures from Landsat satellite imagery for a single date. Water presence/absence is assessed for each 30 m Landsat pixel. This is the primary product used to develop the water count and water prevalence products, which are based on the Landsat time series (1 Jan 1989 to 31 Dec 2021). Water count - The water count product is calculated, per pixel, as the sum of number of observations with water present across the Landsat time series as a fraction of total number of possible observations for the period 1 Jan 1989 to 31 Dec 2021. Water prevalence - The water prevalence product is extracted from the water count product and classified by proportions of observations with water present.

Progress Code: onGoing
Maintenance and Update Frequency: biennially

Notes

Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
U.S. Geological Survey (USGS) provided the Landsat imagery.
Purpose
The maps are intended for rural landscapes and are suited to many applications including: - property planning - local government planning - flood risk assessment and management - habitat identification and mapping - analyses of potential biodiversity refugia - analyses of landscape change and resilience.
Data Quality Information

Data Quality Assessment Result
local : Quality Result
The input imagery was processed to level L1T by the USGS. Geodetic accuracy of the product depends on the image quality and the accuracy, number, and distribution of the ground control points.

Created: 2023-01-17

Issued: 2024-10-17

Modified: 2024-10-17

Data time period: 1988-01-01

This dataset is part of a larger collection

Click to explore relationships graph

154,-9.5 154,-29.2 138,-29.2 138,-9.5 154,-9.5

146,-19.35

text: Queensland

Subjects

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