Search ga_ls7e_ard_3 whole collection

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

First 100 results (query limit)

Time (local)	Label
1999-10-29 11:44:05	ga_ls7e_ard_3-0-0_115075_1999-10-29_final
1999-11-30 11:43:59	ga_ls7e_ard_3-0-0_115075_1999-11-30_final
2000-10-31 11:42:46	ga_ls7e_ard_3-0-0_115078_2000-10-31_final
2000-12-15 11:12:18	ga_ls7e_ard_3-0-0_110079_2000-12-15_final
2002-11-17 11:17:29	ga_ls7e_ard_3-0-0_112067_2002-11-17_final
2002-12-05 11:07:46	ga_ls7e_ard_3-0-0_110073_2002-12-05_final
2003-02-05 11:24:52	ga_ls7e_ard_3-0-0_112084_2003-02-05_final
2003-02-14 11:14:22	ga_ls7e_ard_3-0-0_111073_2003-02-14_final
2003-08-05 11:39:35	ga_ls7e_ard_3-0-0_115075_2003-08-05_final
2003-08-18 11:08:43	ga_ls7e_ard_3-0-0_110075_2003-08-18_final
2003-08-20 10:59:08	ga_ls7e_ard_3-0-0_108082_2003-08-20_final
2003-11-25 11:41:04	ga_ls7e_ard_3-0-0_115078_2003-11-25_final
2003-12-24 11:09:10	ga_ls7e_ard_3-0-0_110075_2003-12-24_final
2003-12-27 11:40:06	ga_ls7e_ard_3-0-0_115075_2003-12-27_final
2004-03-09 11:36:38	ga_ls7e_ard_3-0-0_114081_2004-03-09_final
2004-05-03 11:40:47	ga_ls7e_ard_3-0-0_115076_2004-05-03_final
2004-05-23 11:17:39	ga_ls7e_ard_3-0-0_111080_2004-05-23_final
2004-09-19 11:24:05	ga_ls7e_ard_3-0-0_112082_2004-09-19_final
2005-01-14 11:41:48	ga_ls7e_ard_3-0-0_115078_2005-01-14_final
2005-04-10 11:04:31	ga_ls7e_ard_3-0-0_109077_2005-04-10_final
2005-05-06 11:42:00	ga_ls7e_ard_3-0-0_115078_2005-05-06_final
2005-06-11 11:15:34	ga_ls7e_ard_3-0-0_111074_2005-06-11_final
2005-08-23 11:12:46	ga_ls7e_ard_3-0-0_110083_2005-08-23_final
2006-01-01 11:40:57	ga_ls7e_ard_3-0-0_115075_2006-01-01_final
2006-04-20 11:10:42	ga_ls7e_ard_3-0-0_110076_2006-04-20_final
2006-05-08 10:59:36	ga_ls7e_ard_3-0-0_108079_2006-05-08_final
2006-07-02 11:03:37	ga_ls7e_ard_3-0-0_109074_2006-07-02_final
2006-07-09 11:09:45	ga_ls7e_ard_3-0-0_110074_2006-07-09_final
2006-08-31 11:31:39	ga_ls7e_ard_3-0-0_113083_2006-08-31_final
2007-01-20 11:41:27	ga_ls7e_ard_3-0-0_115075_2007-01-20_final
2007-01-24 11:15:10	ga_ls7e_ard_3-0-0_111071_2007-01-24_final
2007-02-05 11:42:22	ga_ls7e_ard_3-1-0_115077_2007-02-05_final
2007-04-26 11:42:05	ga_ls7e_ard_3-0-0_115076_2007-04-26_final
2007-07-31 11:41:44	ga_ls7e_ard_3-0-0_115076_2007-07-31_final
2008-01-11 11:16:03	ga_ls7e_ard_3-0-0_111073_2008-01-11_final
2008-12-10 11:30:17	ga_ls7e_ard_3-0-0_113080_2008-12-10_final
2009-01-31 11:02:18	ga_ls7e_ard_3-0-0_109071_2009-01-31_final
2009-03-16 11:25:49	ga_ls7e_ard_3-0-0_113067_2009-03-16_final
2009-03-25 11:25:17	ga_ls7e_ard_3-0-0_112081_2009-03-25_final
2009-04-17 11:28:48	ga_ls7e_ard_3-0-0_113074_2009-04-17_final
2009-06-08 11:07:21	ga_ls7e_ard_3-0-0_109082_2009-06-08_final
2010-04-17 10:58:10	ga_ls7e_ard_3-0-0_108070_2010-04-17_final
2010-12-30 11:45:57	ga_ls7e_ard_3-0-0_115079_2010-12-30_final
2011-02-15 10:59:23	ga_ls7e_ard_3-0-0_108070_2011-02-15_final
2011-03-17 11:16:15	ga_ls7e_ard_3-0-0_110081_2011-03-17_final
2012-08-01 11:19:50	ga_ls7e_ard_3-0-0_111071_2012-08-01_final
2012-08-26 11:13:32	ga_ls7e_ard_3-0-0_110070_2012-08-26_final
2013-02-16 11:28:28	ga_ls7e_ard_3-0-0_112074_2013-02-16_final
2013-03-25 11:47:39	ga_ls7e_ard_3-0-0_115076_2013-03-25_final
2013-12-10 11:21:38	ga_ls7e_ard_3-0-0_111072_2013-12-10_final
2013-12-22 11:48:46	ga_ls7e_ard_3-0-0_115078_2013-12-22_final
2014-05-26 11:32:49	ga_ls7e_ard_3-0-0_112082_2014-05-26_final
2015-03-03 11:22:10	ga_ls7e_ard_3-0-0_111067_2015-03-03_final
2015-03-19 11:24:41	ga_ls7e_ard_3-0-0_111073_2015-03-19_final
2015-08-26 11:25:32	ga_ls7e_ard_3-0-0_111073_2015-08-26_final
2016-03-14 11:25:59	ga_ls7e_ard_3-0-0_110084_2016-03-14_final
2016-03-28 11:37:37	ga_ls7e_ard_3-0-0_112082_2016-03-28_final
2016-05-04 11:54:47	ga_ls7e_ard_3-0-0_115078_2016-05-04_final
2016-10-24 11:22:37	ga_ls7e_ard_3-0-0_110074_2016-10-24_final
2016-11-30 11:38:10	ga_ls7e_ard_3-0-0_113067_2016-11-30_final
2017-02-11 11:34:10	ga_ls7e_ard_3-0-0_112074_2017-02-11_final
2017-02-20 11:27:17	ga_ls7e_ard_3-0-0_111072_2017-02-20_final
2017-10-23 11:48:52	ga_ls7e_ard_3-0-0_114078_2017-10-23_final
2017-11-05 11:14:45	ga_ls7e_ard_3-0-0_109070_2017-11-05_final
2018-11-01 11:04:47	ga_ls7e_ard_3-0-0_108075_2018-11-01_final
2018-12-20 11:48:23	ga_ls7e_ard_3-0-0_115079_2018-12-20_final
2019-05-15 11:32:47	ga_ls7e_ard_3-0-0_113083_2019-05-15_final
2019-09-06 11:11:10	ga_ls7e_ard_3-1-0_111071_2019-09-06_final
2019-12-23 11:34:10	ga_ls7e_ard_3-1-0_115079_2019-12-23_final
2020-02-09 11:31:20	ga_ls7e_ard_3-1-0_115078_2020-02-09_final
2020-03-18 10:50:38	ga_ls7e_ard_3-1-0_109074_2020-03-18_final
2020-06-15 10:37:37	ga_ls7e_ard_3-1-0_108070_2020-06-15_final
2020-11-04 10:40:58	ga_ls7e_ard_3-1-0_110070_2020-11-04_final
2020-12-02 09:28:02	ga_ls7e_ard_3-1-0_098078_2020-12-01_final
2020-12-18 09:29:37	ga_ls7e_ard_3-1-0_098085_2020-12-17_final
2020-12-25 11:10:10	ga_ls7e_ard_3-1-0_115075_2020-12-25_final
2021-02-08 10:34:04	ga_ls7e_ard_3-2-0_110070_2021-02-08_final
2021-02-24 10:32:51	ga_ls7e_ard_3-2-0_110070_2021-02-24_final
2021-04-28 09:43:40	ga_ls7e_ard_3-2-0_103068_2021-04-28_final
2021-05-13 10:40:26	ga_ls7e_ard_3-2-0_112074_2021-05-13_final
2021-05-19 08:29:58	ga_ls7e_ard_3-2-0_090089_2021-05-18_final
2021-05-25 09:28:51	ga_ls7e_ard_3-2-0_100083_2021-05-24_final
2021-05-31 08:52:51	ga_ls7e_ard_3-2-0_094087_2021-05-30_final
2021-06-17 09:33:07	ga_ls7e_ard_3-2-0_101083_2021-06-17_final
2021-06-22 09:45:16	ga_ls7e_ard_3-2-0_104068_2021-06-22_final
2021-09-21 09:22:49	ga_ls7e_ard_3-2-0_101078_2021-09-20_final
2021-09-28 09:29:34	ga_ls7e_ard_3-2-0_102081_2021-09-27_final
2021-10-24 08:23:28	ga_ls7e_ard_3-2-0_092076_2021-10-23_final
2021-10-26 08:16:30	ga_ls7e_ard_3-2-0_090090_2021-10-25_final
2021-10-26 09:46:36	ga_ls7e_ard_3-2-0_106068_2021-10-26_final
2021-12-04 08:17:47	ga_ls7e_ard_3-2-1_091087_2021-12-03_final
2021-12-06 09:36:31	ga_ls7e_ard_3-2-1_105068_2021-12-06_final
2021-12-09 08:30:39	ga_ls7e_ard_3-2-1_094074_2021-12-08_final
2021-12-22 09:34:59	ga_ls7e_ard_3-2-1_105068_2021-12-22_final
2022-01-14 09:41:42	ga_ls7e_ard_3-2-1_106075_2022-01-14_final
2022-01-15 10:24:28	ga_ls7e_ard_3-2-1_113074_2022-01-15_final
2022-01-29 08:58:35	ga_ls7e_ard_3-2-1_099079_2022-01-28_final
2022-02-08 09:33:52	ga_ls7e_ard_3-2-1_105077_2022-02-08_final
2022-02-26 09:16:08	ga_ls7e_ard_3-2-1_103068_2022-02-25_final
2022-03-09 08:59:42	ga_ls7e_ard_3-2-1_100076_2022-03-08_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