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The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

42 results

Time (local)	Label
2000-12-03 10:46:19	ga_ls7e_ard_3-0-0_106076_2000-12-03_final
2001-04-09 10:03:12	ga_ls7e_ard_3-0-0_099077_2001-04-09_final
2002-11-22 10:01:15	ga_ls7e_ard_3-0-0_099077_2002-11-22_final
2003-09-22 10:01:19	ga_ls7e_ard_3-0-0_099077_2003-09-22_final
2003-09-23 10:43:47	ga_ls7e_ard_3-1-0_106075_2003-09-23_final
2004-01-29 10:45:03	ga_ls7e_ard_3-0-0_106076_2004-01-29_final
2004-03-01 10:41:56	ga_ls7e_ard_3-0-0_106068_2004-03-01_final
2004-05-03 10:03:05	ga_ls7e_ard_3-0-0_099079_2004-05-03_final
2004-10-11 10:44:30	ga_ls7e_ard_3-0-0_106076_2004-10-11_final
2004-10-18 10:50:25	ga_ls7e_ard_3-0-0_107075_2004-10-18_final
2004-11-11 09:59:40	ga_ls7e_ard_3-0-0_099071_2004-11-11_final
2005-04-05 10:45:37	ga_ls7e_ard_3-0-0_106076_2005-04-05_final
2005-07-17 09:17:53	ga_ls7e_ard_3-0-0_091089_2005-07-16_final
2005-12-01 10:45:34	ga_ls7e_ard_3-0-0_106076_2005-12-01_final
2006-01-26 09:56:54	ga_ls7e_ard_3-0-0_098077_2006-01-26_final
2006-06-25 09:23:24	ga_ls7e_ard_3-0-0_092086_2006-06-24_final
2007-01-27 10:08:24	ga_ls7e_ard_3-0-0_100074_2007-01-27_final
2009-07-03 09:24:13	ga_ls7e_ard_3-0-0_092087_2009-07-02_final
2010-04-02 10:03:20	ga_ls7e_ard_3-0-0_099072_2010-04-02_final
2010-05-28 09:20:35	ga_ls7e_ard_3-0-0_091089_2010-05-27_final
2010-06-15 09:06:39	ga_ls7e_ard_3-0-0_089085_2010-06-14_final
2011-04-18 09:34:13	ga_ls7e_ard_3-0-0_094073_2011-04-18_final
2012-02-01 10:21:56	ga_ls7e_ard_3-0-0_101083_2012-02-01_final
2012-09-05 10:14:39	ga_ls7e_ard_3-0-0_100077_2012-09-05_final
2013-01-19 11:03:18	ga_ls7e_ard_3-0-0_108073_2013-01-19_final
2013-11-20 10:05:18	ga_ls7e_ard_3-0-0_099067_2013-11-20_final
2014-05-22 10:17:03	ga_ls7e_ard_3-0-0_100078_2014-05-22_final
2014-08-26 10:16:54	ga_ls7e_ard_3-0-0_100077_2014-08-26_final
2016-07-23 10:11:43	ga_ls7e_ard_3-0-0_099067_2016-07-23_final
2017-05-23 10:15:37	ga_ls7e_ard_3-0-0_099077_2017-05-23_final
2017-08-02 10:21:56	ga_ls7e_ard_3-0-0_100077_2017-08-02_final
2018-05-10 10:13:49	ga_ls7e_ard_3-0-0_099078_2018-05-10_final
2018-05-27 10:55:37	ga_ls7e_ard_3-1-0_106075_2018-05-27_final
2019-06-07 09:57:15	ga_ls7e_ard_3-0-0_098078_2019-06-07_final
2019-12-14 10:01:08	ga_ls7e_ard_3-1-0_100077_2019-12-14_final
2020-01-10 09:42:47	ga_ls7e_ard_3-1-0_097081_2020-01-10_final
2020-04-01 09:22:32	ga_ls7e_ard_3-1-0_095072_2020-03-31_final
2020-05-06 09:53:46	ga_ls7e_ard_3-1-0_100078_2020-05-06_final
2020-07-12 08:42:35	ga_ls7e_ard_3-1-0_089080_2020-07-11_final
2020-09-11 09:45:53	ga_ls7e_ard_3-1-0_100078_2020-09-11_final
2021-02-27 09:27:26	ga_ls7e_ard_3-2-0_099077_2021-02-26_final
2021-12-31 09:33:29	ga_ls7e_ard_3-2-1_104082_2021-12-31_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years