DEA Water Observations Statistics 3.1.6

projects/geoscience-aus-cat/assets/ga_ls_wo_fq_cyear_3
info

This dataset is part of a Publisher Catalog, and not managed by Google. Contact Geoscience Australia for bugs or view more datasets from the Geoscience Australia Catalog. Learn more about Publisher datasets.

Catalog Owner
Geoscience Australia
Dataset Availability
1987-01-01T00:00:00Z–2022-01-01T00:00:00Z
Dataset Provider
Contact
https://www.ga.gov.au/contact-us
Earth Engine Snippet
ee.ImageCollection("projects/geoscience-aus-cat/assets/ga_ls_wo_fq_cyear_3")
Tags
australia ga geoscience-aus-cat landsat-derived publisher-dataset water

Description

Digital Earth Australia (DEA) Water Observations uses an algorithm to classify each pixel from Landsat satellite imagery as 'wet', 'dry', or 'invalid'. Water Observations Statistics provides information on how many times each year the Landsat satellites were able to clearly see an area, how many times those observations were wet, and what that means for the percentage of time that water was observed in the landscape.

Combining the classified pixels into summaries covering each year gives the information on where water is usually, and where it is rarely. As no confidence filtering is applied to this product, it is affected by noise where misclassifications have occurred in the input water classifications, and can be difficult to interpret on its own.

For more information, please see the DEA Water Observations Statistics Landsat

This product is part of the Digital Earth Australia Program

Bands

Resolution
25 meters

Bands

Name Units Min Max Description
count_clear count -32768* 32767*

Clear count: how many times an area could be clearly seen.
count_wet count -32768* 32767*

Wet count: how many times water was detected in observations that were clear.
frequency % 0 1

Water frequency: what percentage of clear observations were detected as wet.
* estimated min or max value

Terms of Use

Terms of Use

CC-BY-4.0

Citations

Citations:

  • Mueller, N., Lewis, A., Roberts, D., Ring, S., Melrose, R., Sixsmith, J., Lymburner, L., McIntyre, A., Tan, P., Curnow, S., & Ip, A. (2016). Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia. Remote Sensing of Environment, 174, 341-352 doi:10.1016/j.rse.2015.11.003

DOIs

Explore with Earth Engine

Code Editor (JavaScript)

var water_obs = ee.ImageCollection('projects/geoscience-aus-cat/assets/ga_ls_wo_fq_cyear_3');

var gray = 150;
var background = ee.Image.rgb(gray, gray, gray).visualize({ min: 0, max: 255 });

var visualization_frequency = {
  bands: ['frequency'],
  min: 0.0,
  max: 1.0,
  palette: ['ffffff', 'ffbbbb', '0000ff']
};

var point = ee.Geometry.Point([113.651455, -26.024137]);

var image = water_obs.filterBounds(point)
                     .filterDate('2010-01-01', '2011-01-01')
                     .first()
                     .visualize(visualization_frequency);
                     
Map.centerObject(image, 12);
var imageWithBackground = ee.ImageCollection([background, image]).mosaic();
Map.addLayer(imageWithBackground, {}, 'Water Frequency ratio');
Open in Code Editor
Digital Earth Australia (DEA) Water Observations uses an algorithm to classify each pixel from Landsat satellite imagery as 'wet', 'dry', or 'invalid'. Water Observations Statistics provides information on how many times each year the Landsat satellites were able to clearly see an area, how many times those observations were wet, …
projects/geoscience-aus-cat/assets/ga_ls_wo_fq_cyear_3, australia,ga,geoscience-aus-cat,landsat-derived,publisher-dataset,water
1987-01-01T00:00:00Z/2022-01-01T00:00:00Z
-44.41 108.81 -9.13 157.82
Google Earth Engine