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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
2000-01-26 10:02:08	ga_ls7e_ard_3-0-0_098083_2000-01-26_final
2000-02-22 11:18:18	ga_ls7e_ard_3-0-0_111073_2000-02-22_final
2000-02-28 10:42:02	ga_ls7e_ard_3-0-0_105075_2000-02-28_final
2001-01-28 09:54:16	ga_ls7e_ard_3-0-0_098069_2001-01-28_final
2002-02-17 10:36:16	ga_ls7e_ard_3-0-0_105070_2002-02-17_final
2002-06-15 10:04:26	ga_ls7e_ard_3-0-0_099084_2002-06-15_final
2004-02-08 11:18:35	ga_ls7e_ard_3-0-0_112067_2004-02-08_final
2005-01-14 11:42:12	ga_ls7e_ard_3-0-0_115079_2005-01-14_final
2005-02-21 11:03:22	ga_ls7e_ard_3-0-0_109074_2005-02-21_final
2005-03-30 11:24:43	ga_ls7e_ard_3-0-0_112081_2005-03-30_final
2005-09-16 10:22:19	ga_ls7e_ard_3-0-0_102081_2005-09-16_final
2006-02-03 10:48:47	ga_ls7e_ard_3-0-0_106083_2006-02-03_final
2006-03-22 10:03:37	ga_ls7e_ard_3-0-0_099078_2006-03-22_final
2006-05-24 09:23:55	ga_ls7e_ard_3-1-0_092087_2006-05-23_final
2006-10-27 11:19:09	ga_ls7e_ard_3-0-0_112067_2006-10-27_final
2007-01-04 10:00:09	ga_ls7e_ard_3-0-0_099069_2007-01-04_final
2008-07-18 09:11:15	ga_ls7e_ard_3-0-0_090088_2008-07-17_final
2008-10-24 08:55:57	ga_ls7e_ard_3-0-0_088082_2008-10-23_final
2009-01-25 10:03:16	ga_ls7e_ard_3-0-0_099078_2009-01-25_final
2009-09-12 11:04:17	ga_ls7e_ard_3-0-0_109075_2009-09-12_final
2011-03-16 10:29:24	ga_ls7e_ard_3-0-0_103072_2011-03-16_final
2011-09-06 10:45:08	ga_ls7e_ard_3-0-0_105081_2011-09-06_final
2011-11-26 11:23:10	ga_ls7e_ard_3-0-0_112067_2011-11-26_final
2014-05-26 11:32:49	ga_ls7e_ard_3-0-0_112082_2014-05-26_final
2015-05-10 09:26:40	ga_ls7e_ard_3-1-0_091086_2015-05-09_final
2015-05-27 10:02:48	ga_ls7e_ard_3-0-0_098068_2015-05-27_final
2015-06-12 10:06:32	ga_ls7e_ard_3-0-0_098077_2015-06-12_final
2016-01-31 11:41:26	ga_ls7e_ard_3-0-0_113077_2016-01-31_final
2016-07-22 11:10:32	ga_ls7e_ard_3-1-0_108075_2016-07-22_final
2017-09-03 10:19:31	ga_ls7e_ard_3-0-0_100071_2017-09-03_final
2017-10-08 09:16:19	ga_ls7e_ard_3-0-0_089083_2017-10-07_final
2017-11-15 10:16:31	ga_ls7e_ard_3-0-0_099079_2017-11-15_final
2018-01-15 09:40:12	ga_ls7e_ard_3-1-0_094067_2018-01-15_final
2018-07-06 11:41:08	ga_ls7e_ard_3-0-0_114067_2018-07-06_final
2019-03-04 10:45:30	ga_ls7e_ard_3-1-0_105082_2019-03-04_final
2019-04-21 09:05:47	ga_ls7e_ard_3-0-0_089084_2019-04-20_final
2019-06-30 10:02:11	ga_ls7e_ard_3-0-0_099077_2019-06-30_final
2020-01-28 09:23:57	ga_ls7e_ard_3-1-0_095067_2020-01-27_final
2020-02-15 10:52:21	ga_ls7e_ard_3-1-0_109074_2020-02-15_final
2020-05-12 10:57:36	ga_ls7e_ard_3-1-0_110084_2020-05-12_final
2021-03-18 09:54:03	ga_ls7e_ard_3-2-0_104070_2021-03-18_final
2021-05-11 09:17:41	ga_ls7e_ard_3-2-0_098083_2021-05-10_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years