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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

52 results

Time (local)	Label
2000-06-07 10:19:18	ga_ls7e_ard_3-0-0_101082_2000-06-07_final
2000-11-01 10:46:21	ga_ls7e_ard_3-0-0_106076_2000-11-01_final
2001-12-22 10:44:40	ga_ls7e_ard_3-0-0_106076_2001-12-22_final
2001-12-31 10:35:11	ga_ls7e_ard_3-0-0_105068_2001-12-31_final
2003-01-08 10:53:51	ga_ls7e_ard_3-0-0_108069_2003-01-08_final
2004-03-15 10:56:48	ga_ls7e_ard_3-0-0_108074_2004-03-15_final
2004-06-19 10:56:34	ga_ls7e_ard_3-0-0_108074_2004-06-19_final
2004-10-02 09:17:26	ga_ls7e_ard_3-0-0_091090_2004-10-01_final
2004-11-21 10:37:12	ga_ls7e_ard_3-0-0_105072_2004-11-21_final
2005-01-06 10:51:08	ga_ls7e_ard_3-0-0_107075_2005-01-06_final
2005-06-11 11:15:10	ga_ls7e_ard_3-0-0_111073_2005-06-11_final
2006-02-17 10:55:37	ga_ls7e_ard_3-0-0_108069_2006-02-17_final
2006-07-16 11:13:04	ga_ls7e_ard_3-0-0_111067_2006-07-16_final
2007-01-14 09:03:55	ga_ls7e_ard_3-0-0_089083_2007-01-13_final
2007-06-26 09:36:04	ga_ls7e_ard_3-0-0_094086_2007-06-26_final
2007-07-03 11:15:07	ga_ls7e_ard_3-0-0_111071_2007-07-03_final
2007-09-05 11:19:10	ga_ls7e_ard_3-1-0_111082_2007-09-05_final
2008-02-14 09:26:43	ga_ls7e_ard_3-0-0_093078_2008-02-13_final
2008-03-08 09:31:34	ga_ls7e_ard_3-0-0_094075_2008-03-08_final
2008-04-16 09:36:55	ga_ls7e_ard_3-1-0_095073_2008-04-16_final
2008-05-07 09:53:47	ga_ls7e_ard_3-0-0_098069_2008-05-07_final
2008-06-30 09:23:50	ga_ls7e_ard_3-0-0_092088_2008-06-29_final
2008-08-09 10:11:18	ga_ls7e_ard_3-0-0_100084_2008-08-09_final
2009-04-24 09:58:31	ga_ls7e_ard_3-1-0_098080_2009-04-24_final
2009-08-15 10:39:58	ga_ls7e_ard_3-0-0_105076_2009-08-15_final
2010-03-21 09:44:33	ga_ls7e_ard_3-0-0_095087_2010-03-21_final
2010-12-09 09:43:34	ga_ls7e_ard_3-0-0_096067_2010-12-09_final
2011-01-12 09:36:41	ga_ls7e_ard_3-0-0_094080_2011-01-12_final
2011-06-24 10:03:04	ga_ls7e_ard_3-0-0_099068_2011-06-24_final
2011-07-01 10:15:13	ga_ls7e_ard_3-0-0_100083_2011-07-01_final
2012-09-13 09:29:40	ga_ls7e_ard_3-0-0_092088_2012-09-12_final
2012-09-22 09:21:10	ga_ls7e_ard_3-0-0_091082_2012-09-21_final
2012-12-07 11:25:16	ga_ls7e_ard_3-1-0_111082_2012-12-07_final
2013-01-08 11:21:03	ga_ls7e_ard_3-0-0_111071_2013-01-08_final
2014-04-29 10:10:20	ga_ls7e_ard_3-0-0_099077_2014-04-29_final
2015-06-18 09:33:52	ga_ls7e_ard_3-0-0_092088_2015-06-18_final
2015-06-30 09:57:49	ga_ls7e_ard_3-1-0_096086_2015-06-30_final
2015-07-13 09:27:24	ga_ls7e_ard_3-0-0_091087_2015-07-12_final
2015-09-07 10:13:24	ga_ls7e_ard_3-0-0_099078_2015-09-07_final
2016-11-22 10:50:44	ga_ls7e_ard_3-0-0_105072_2016-11-22_final
2018-06-03 11:05:17	ga_ls7e_ard_3-0-0_107084_2018-06-03_final
2018-10-09 10:59:31	ga_ls7e_ard_3-0-0_107076_2018-10-09_final
2019-01-30 09:58:03	ga_ls7e_ard_3-0-0_098069_2019-01-30_final
2019-04-03 09:19:35	ga_ls7e_ard_3-1-0_091086_2019-04-02_final
2019-06-14 10:05:10	ga_ls7e_ard_3-0-0_099083_2019-06-14_final
2019-09-18 09:59:16	ga_ls7e_ard_3-1-0_099078_2019-09-18_final
2020-03-29 08:54:36	ga_ls7e_ard_3-1-0_090079_2020-03-28_final
2020-07-19 10:25:13	ga_ls7e_ard_3-1-0_106075_2020-07-19_final
2020-09-22 09:25:25	ga_ls7e_ard_3-1-0_097075_2020-09-21_final
2021-08-04 09:28:38	ga_ls7e_ard_3-2-0_101082_2021-08-03_final
2021-10-18 08:58:41	ga_ls7e_ard_3-2-0_098070_2021-10-17_final
2022-01-17 10:10:43	ga_ls7e_ard_3-2-1_111071_2022-01-17_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