Water count and water prevalence - NSW

This dataset indicates the presence and persistence of water across New South Wales between 1988 and 2012. 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. For example, one of the necessary steps in the NSW State-wide Landcover and Trees Study (SLATS), which monitors vegetation change and is used in the production of vegetation maps, involves removing non-vegetative features such as water bodies through water masking. Water count The water count product is based on water index and water masks for NSW (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 in the 25yr period (1 Jan 1988 to 31 Dec 2012). 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 Prevalence The water prevalence product is extracted from the water count product and provides a measure of the relative persistence of water in the landscape (e.g. from always present to rarely and never present). There are 12 classes representing the percentage of time a pixel has had water present out of the total number of observations for that pixel (i.e Band 1/Band 2 of the water count product). Water prevalence mapping provides information for multiple, wide-reaching applications. For example, distance to locations of persistent water bodies can be modelled as a contributing indicator of potential biodiversity refugia. Files align with Landsat paths and rows (see https://www.usgs.gov/core-science-systems/nli/landsat/landsat-tools), with files for water count denoted 'dd7' and water prevalence 'ddh'.
 
Citation proposal
. .

Simple

Date ( Creation )
1988-11-19T00:00:00
Date ( Publication )
2016-06-20T00:00:00
Date ( Revision )
2016-06-20T00:00:00
Edition
1.0.0 

  Publisher

  Author

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 
Credit
This work was funded by Local Land Services and completed by the Joint Remote Sensing Research Program and the NSW Office of Environment and Heritage. Landsat data was sourced from the United States Geological Survey. 
Status
Completed  

  Point of contact

Topic category
  • Environment
  • Geoscientific information
  • Imagery base maps earth cover
Description
New South Wales, Australia 
N
S
E
W


Time period
1988-01-012012-01-01 
  • water count ,
  • Unitless ,
  • TM ,
  • ,
  • LANDSAT-5
  • water prevalence ,
  • Unitless ,
  • ETM+ ,
  • ,
  • LANDSAT-7
GCMD Earth Science and Earth Science Services Keywords
  • EARTH SCIENCE REANALYSES/ASSIMILATION MODELS ,
  • BIOSPHERE ,
  • WATER MANAGEMENT ,
  • SURFACE WATER FEATURES ,
  • FLOOD FREQUENCY ,
  • INUNDATION
Temporal Resolution
  • Weekly - < Monthly
ANZSRC Fields of Research
  • Freshwater Ecology ,
  • Agricultural Land Management ,
  • Surfacewater Hydrology ,
  • Wildlife and Habitat Management
Title
Creative Commons Attribution 4.0 International Licence 
Alternate title
CC-BY 
Edition
4.0 
Website

Access constraints
License  
Use constraints
Other restrictions  
Other constraints
These data can be freely downloaded and used subject to the CC BY licence. Attribution and citation is required. Please send citations of publications arising from work that use these data to tern@uq.edu.au . 
Other constraints
Known Issues - Map accuracy - the water mask classified raining data with 1.4% misclassification. - Artificial striping in Landsat 7 imagery, associated with the edges of flight paths. - Ghosting - where a single date of poorly rectified Landsat images causes an offset in the water mask by some distance to the rest of the time series. This is particularly apparent for permanent water bodies such as wide river channels and large dams. 
Other constraints
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. 
Title
Australian Government Security Classification System 
Edition date
2018-11-01T00:00:00  
Website

Classification
Unclassified  
Handling description
OFFICIAL (Australian Government Security Classification System) 
Language
English  
Character encoding
UTF8  
Supplemental Information
Files align with Landsat paths and rows (see https://www.usgs.gov/core-science-systems/nli/landsat/landsat-tools), with files for water count denoted 'dd7' and water prevalence 'ddh'. 
Distribution format
  • IMG

OnLine resource

Water count and water prevalence

OnLine resource

Landsat Path Row KML files

OnLine resource
Fisher, A., N. Flood, and T. Danaher. (2016) Comparing Landsat Water Index Methods for Automated Water Classification in Eastern Australia. Remote Sensing of Environment. doi:10.1016/j.rse.2015.12.055

OnLine resource
NSW OEH (2015) Water count and water prevalence fact sheet

OnLine resource
band_descriptions_and_filenaming_convention_UTM-v01.txt

band_descriptions_and_filenaming_convention

Hierarchy level
Dataset  
Statement
The following issues were identified: Map accuracy - the water mask classified training data with 1.4% misclassification. Artificial striping in Landsat 7 imagery, associated with the edges of flight paths. Ghosting - where a single date of poorly rectified Landsat images causes an offset in the water mask by some distance to the rest of the time series. This is particularly apparent for permanent water bodies such as wide river channels and large dams. 

mdb:MD_Metadata

Metadata identifier
urn:uuid / 4e391ec1-87a5-4bfb-9b51-997b87473494

  Point of contact

Resource scope
Dataset  
Metadata linkage

Point-of-truth metadata URL

Date info ( Creation )
2020-11-12T00:00:00
Date info ( Revision )
2021-09-23T01:57:42
Title
ISO 19115.1:2015 Geographic information - Metadata - Fundamentals 
Edition
1.0 
Title
ISO 19115-3:2016 
Edition
1.0 

    Overviews

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