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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

83 results

Time (local)	Label
1999-08-08 10:20:47	ga_ls7e_ard_3-0-0_101083_1999-08-08_final
2000-12-22 09:34:51	ga_ls7e_ard_3-0-0_095067_2000-12-22_final
2001-07-18 09:33:44	ga_ls7e_ard_3-0-0_095067_2001-07-18_final
2001-08-14 10:56:24	ga_ls7e_ard_3-0-0_108074_2001-08-14_final
2001-11-27 10:50:19	ga_ls7e_ard_3-0-0_107075_2001-11-27_final
2001-12-08 08:55:42	ga_ls7e_ard_3-0-0_088082_2001-12-07_final
2002-01-28 11:02:32	ga_ls7e_ard_3-0-0_109074_2002-01-28_final
2002-09-02 10:59:07	ga_ls7e_ard_3-0-0_108083_2002-09-02_final
2003-01-22 11:05:36	ga_ls7e_ard_3-0-0_110067_2003-01-22_final
2003-08-12 10:08:06	ga_ls7e_ard_3-0-0_100078_2003-08-12_final
2003-09-23 10:44:11	ga_ls7e_ard_3-0-0_106076_2003-09-23_final
2004-01-29 10:45:03	ga_ls7e_ard_3-0-0_106076_2004-01-29_final
2004-03-15 10:56:48	ga_ls7e_ard_3-0-0_108074_2004-03-15_final
2004-11-24 11:08:57	ga_ls7e_ard_3-0-0_110074_2004-11-24_final
2004-12-29 11:42:08	ga_ls7e_ard_3-0-0_115079_2004-12-29_final
2005-01-24 10:39:12	ga_ls7e_ard_3-0-0_105076_2005-01-24_final
2005-01-25 11:18:52	ga_ls7e_ard_3-0-0_112067_2005-01-25_final
2005-03-10 10:07:00	ga_ls7e_ard_3-0-0_100072_2005-03-10_final
2005-04-21 10:45:31	ga_ls7e_ard_3-0-0_106076_2005-04-21_final
2005-05-07 10:45:35	ga_ls7e_ard_3-0-0_106076_2005-05-07_final
2005-05-08 09:51:58	ga_ls7e_ard_3-0-0_097081_2005-05-08_final
2005-09-21 10:39:40	ga_ls7e_ard_3-0-0_105078_2005-09-21_final
2005-12-01 10:43:10	ga_ls7e_ard_3-0-0_106070_2005-12-01_final
2006-01-02 10:45:44	ga_ls7e_ard_3-0-0_106076_2006-01-02_final
2006-01-10 09:54:23	ga_ls7e_ard_3-0-0_098071_2006-01-10_final
2006-03-31 09:57:25	ga_ls7e_ard_3-0-0_098078_2006-03-31_final
2006-04-09 09:48:00	ga_ls7e_ard_3-0-0_097070_2006-04-09_final
2006-06-09 09:23:28	ga_ls7e_ard_3-0-0_092086_2006-06-08_final
2006-06-19 09:59:43	ga_ls7e_ard_3-0-0_098084_2006-06-19_final
2006-09-10 10:23:49	ga_ls7e_ard_3-0-0_103068_2006-09-10_final
2006-12-15 10:26:01	ga_ls7e_ard_3-0-0_103072_2006-12-15_final
2008-03-19 10:49:54	ga_ls7e_ard_3-0-0_107070_2008-03-19_final
2008-06-14 09:23:12	ga_ls7e_ard_3-0-0_092086_2008-06-13_final
2008-12-03 09:47:08	ga_ls7e_ard_3-0-0_096085_2008-12-03_final
2008-12-29 10:19:40	ga_ls7e_ard_3-0-0_102073_2008-12-29_final
2009-03-25 09:40:49	ga_ls7e_ard_3-0-0_096067_2009-03-25_final
2009-04-25 10:40:11	ga_ls7e_ard_3-0-0_105076_2009-04-25_final
2009-07-12 10:50:06	ga_ls7e_ard_3-0-0_107070_2009-07-12_final
2009-08-05 10:03:20	ga_ls7e_ard_3-0-0_099077_2009-08-05_final
2009-08-29 10:51:56	ga_ls7e_ard_3-0-0_107075_2009-08-29_final
2009-09-24 09:51:42	ga_ls7e_ard_3-0-0_097079_2009-09-24_final
2009-12-11 10:05:14	ga_ls7e_ard_3-0-0_099080_2009-12-11_final
2009-12-11 11:43:43	ga_ls7e_ard_3-0-0_115079_2009-12-11_final
2009-12-31 09:35:41	ga_ls7e_ard_3-0-0_095067_2009-12-31_final
2010-02-28 10:59:34	ga_ls7e_ard_3-0-0_108074_2010-02-28_final
2010-04-18 10:01:44	ga_ls7e_ard_3-0-0_099068_2010-04-18_final
2011-07-20 10:43:19	ga_ls7e_ard_3-0-0_105076_2011-07-20_final
2012-06-30 09:38:58	ga_ls7e_ard_3-0-0_095067_2012-06-30_final
2012-07-09 11:13:00	ga_ls7e_ard_3-0-0_110070_2012-07-09_final
2012-09-11 11:14:31	ga_ls7e_ard_3-1-0_110072_2012-09-11_final
2013-02-05 10:05:45	ga_ls7e_ard_3-0-0_099068_2013-02-05_final
2013-07-31 10:08:22	ga_ls7e_ard_3-0-0_099077_2013-07-31_final
2015-02-27 11:51:39	ga_ls7e_ard_3-0-0_115079_2015-02-27_final
2015-06-11 09:27:40	ga_ls7e_ard_3-0-0_091088_2015-06-10_final
2016-01-18 10:29:44	ga_ls7e_ard_3-0-0_102068_2016-01-18_final
2016-05-01 11:20:41	ga_ls7e_ard_3-0-0_110070_2016-05-01_final
2016-06-20 09:35:37	ga_ls7e_ard_3-0-0_092085_2016-06-20_final
2016-09-16 10:22:24	ga_ls7e_ard_3-0-0_100078_2016-09-16_final
2017-02-25 11:43:53	ga_ls7e_ard_3-0-0_114067_2017-02-25_final
2017-09-22 10:51:59	ga_ls7e_ard_3-0-0_105075_2017-09-22_final
2017-12-07 11:16:10	ga_ls7e_ard_3-0-0_109074_2017-12-07_final
2018-01-27 10:11:31	ga_ls7e_ard_3-0-0_098084_2018-01-27_final
2018-02-12 11:43:23	ga_ls7e_ard_3-0-0_114067_2018-02-12_final
2018-06-28 10:55:02	ga_ls7e_ard_3-1-0_106075_2018-06-28_final
2018-08-24 10:50:35	ga_ls7e_ard_3-0-0_105082_2018-08-24_final
2018-09-05 11:12:16	ga_ls7e_ard_3-0-0_109075_2018-09-05_final
2019-01-18 09:35:43	ga_ls7e_ard_3-0-0_094074_2019-01-18_final
2019-03-23 11:16:35	ga_ls7e_ard_3-1-0_110084_2019-03-23_final
2019-04-20 10:01:26	ga_ls7e_ard_3-0-0_098084_2019-04-20_final
2019-05-13 10:04:45	ga_ls7e_ard_3-0-0_099079_2019-05-13_final
2019-09-18 09:58:52	ga_ls7e_ard_3-1-0_099077_2019-09-18_final
2020-02-25 09:51:13	ga_ls7e_ard_3-1-0_099077_2020-02-25_final
2020-03-07 09:28:06	ga_ls7e_ard_3-1-0_096067_2020-03-06_final
2020-10-10 10:50:23	ga_ls7e_ard_3-1-0_111074_2020-10-10_final
2020-10-11 09:57:30	ga_ls7e_ard_3-1-0_102081_2020-10-11_final
2020-12-05 09:55:07	ga_ls7e_ard_3-1-0_103069_2020-12-05_final
2020-12-13 09:06:16	ga_ls7e_ard_3-1-0_095072_2020-12-12_final
2020-12-30 09:51:53	ga_ls7e_ard_3-1-0_102081_2020-12-30_final
2021-06-20 09:57:47	ga_ls7e_ard_3-2-0_106068_2021-06-20_final
2021-12-12 09:00:04	ga_ls7e_ard_3-2-1_099071_2021-12-11_final
2022-01-14 08:02:50	ga_ls7e_ard_3-2-1_090075_2022-01-13_final
2022-01-14 09:41:42	ga_ls7e_ard_3-2-1_106075_2022-01-14_final
2022-03-18 08:53:24	ga_ls7e_ard_3-2-1_099078_2022-03-17_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years