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
1999-09-15 11:18:07	ga_ls7e_ard_3-0-0_111072_1999-09-15_final
1999-12-03 08:59:57	ga_ls7e_ard_3-0-0_088082_1999-12-02_final
2000-02-05 08:59:54	ga_ls7e_ard_3-0-0_088082_2000-02-04_final
2000-03-27 11:09:05	ga_ls7e_ard_3-1-0_109081_2000-03-27_final
2001-03-28 11:15:26	ga_ls7e_ard_3-0-0_111072_2001-03-28_final
2001-09-13 11:08:27	ga_ls7e_ard_3-0-0_110074_2001-09-13_final
2001-11-28 11:35:59	ga_ls7e_ard_3-0-0_114081_2001-11-28_final
2003-01-22 11:11:35	ga_ls7e_ard_3-0-0_110082_2003-01-22_final
2003-10-03 11:20:26	ga_ls7e_ard_3-0-0_112074_2003-10-03_final
2003-10-10 11:29:41	ga_ls7e_ard_3-0-0_113082_2003-10-10_final
2003-10-26 11:26:49	ga_ls7e_ard_3-0-0_113074_2003-10-26_final
2003-11-20 11:23:42	ga_ls7e_ard_3-0-0_112081_2003-11-20_final
2004-02-19 11:03:38	ga_ls7e_ard_3-0-0_109076_2004-02-19_final
2004-05-16 11:07:30	ga_ls7e_ard_3-0-0_110070_2004-05-16_final
2004-08-29 11:05:40	ga_ls7e_ard_3-0-0_109082_2004-08-29_final
2004-12-17 11:14:30	ga_ls7e_ard_3-0-0_111072_2004-12-17_final
2005-01-09 11:21:39	ga_ls7e_ard_3-0-0_112074_2005-01-09_final
2005-01-11 11:08:30	ga_ls7e_ard_3-1-0_110072_2005-01-11_final
2005-05-09 08:56:45	ga_ls7e_ard_3-0-0_088082_2005-05-08_final
2005-08-23 11:13:10	ga_ls7e_ard_3-0-0_110084_2005-08-23_final
2005-09-08 11:12:13	ga_ls7e_ard_3-0-0_110082_2005-09-08_final
2005-11-07 11:31:15	ga_ls7e_ard_3-0-0_114067_2005-11-07_final
2006-02-02 11:42:24	ga_ls7e_ard_3-0-0_115078_2006-02-02_final
2006-03-26 09:36:53	ga_ls7e_ard_3-1-0_095073_2006-03-26_final
2006-04-11 09:42:01	ga_ls7e_ard_3-0-0_095086_2006-04-11_final
2007-01-15 11:26:04	ga_ls7e_ard_3-0-0_112083_2007-01-15_final
2007-02-25 11:15:46	ga_ls7e_ard_3-0-0_111072_2007-02-25_final
2007-05-09 11:08:43	ga_ls7e_ard_3-0-0_110070_2007-05-09_final
2007-05-18 11:04:52	ga_ls7e_ard_3-0-0_109076_2007-05-18_final
2007-09-14 11:08:07	ga_ls7e_ard_3-0-0_110070_2007-09-14_final
2007-11-24 11:13:53	ga_ls7e_ard_3-0-0_111068_2007-11-24_final
2008-01-20 11:11:03	ga_ls7e_ard_3-0-0_110076_2008-01-20_final
2008-02-28 11:15:30	ga_ls7e_ard_3-0-0_111072_2008-02-28_final
2008-06-05 11:07:09	ga_ls7e_ard_3-0-0_109083_2008-06-05_final
2008-06-12 11:08:05	ga_ls7e_ard_3-0-0_110070_2008-06-12_final
2008-06-19 11:16:59	ga_ls7e_ard_3-0-0_111077_2008-06-19_final
2008-12-24 11:41:10	ga_ls7e_ard_3-0-0_115076_2008-12-24_final
2009-03-30 11:41:52	ga_ls7e_ard_3-0-0_115076_2009-03-30_final
2010-03-19 11:34:11	ga_ls7e_ard_3-0-0_113083_2010-03-19_final
2010-03-28 11:24:27	ga_ls7e_ard_3-0-0_112074_2010-03-28_final
2010-05-01 11:09:18	ga_ls7e_ard_3-0-0_110067_2010-05-01_final
2010-05-29 11:39:09	ga_ls7e_ard_3-0-0_114080_2010-05-29_final
2011-01-15 11:44:30	ga_ls7e_ard_3-0-0_115075_2011-01-15_final
2011-04-07 11:29:17	ga_ls7e_ard_3-0-0_113067_2011-04-07_final
2011-08-30 09:00:06	ga_ls7e_ard_3-0-0_088081_2011-08-29_final
2011-11-28 11:10:49	ga_ls7e_ard_3-0-0_110067_2011-11-28_final
2012-09-18 11:19:08	ga_ls7e_ard_3-0-0_111068_2012-09-18_final
2013-11-23 09:03:21	ga_ls7e_ard_3-0-0_088082_2013-11-22_final
2014-02-12 11:23:18	ga_ls7e_ard_3-0-0_111075_2014-02-12_final
2014-06-19 09:04:32	ga_ls7e_ard_3-0-0_088082_2014-06-18_final
2014-09-08 11:26:32	ga_ls7e_ard_3-0-0_111081_2014-09-08_final
2014-09-08 11:27:20	ga_ls7e_ard_3-0-0_111083_2014-09-08_final
2015-03-31 11:50:40	ga_ls7e_ard_3-0-0_115076_2015-03-31_final
2016-05-22 11:44:28	ga_ls7e_ard_3-0-0_113083_2016-05-22_final
2016-08-03 11:38:04	ga_ls7e_ard_3-0-0_112082_2016-08-03_final
2016-08-28 11:28:22	ga_ls7e_ard_3-0-0_111073_2016-08-28_final
2016-09-06 11:26:12	ga_ls7e_ard_3-0-0_110083_2016-09-06_final
2016-09-20 11:38:11	ga_ls7e_ard_3-0-0_112082_2016-09-20_final
2017-01-26 11:34:17	ga_ls7e_ard_3-0-0_112074_2017-01-26_final
2017-03-01 11:19:12	ga_ls7e_ard_3-0-0_110067_2017-03-01_final
2017-07-07 11:26:33	ga_ls7e_ard_3-0-0_110084_2017-07-07_final
2017-10-18 11:27:55	ga_ls7e_ard_3-0-0_111072_2017-10-18_final
2017-11-15 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-11-15_final
2017-11-28 11:22:25	ga_ls7e_ard_3-0-0_110074_2017-11-28_final
2018-05-30 09:51:59	ga_ls7e_ard_3-0-0_095086_2018-05-30_final
2018-10-30 11:15:59	ga_ls7e_ard_3-1-0_110072_2018-10-30_final
2019-04-01 11:10:06	ga_ls7e_ard_3-0-0_109084_2019-04-01_final
2019-08-21 11:12:15	ga_ls7e_ard_3-0-0_111072_2019-08-21_final
2019-08-28 11:18:56	ga_ls7e_ard_3-1-0_112074_2019-08-28_final
2019-10-01 11:05:54	ga_ls7e_ard_3-1-0_110076_2019-10-01_final
2019-11-02 11:07:19	ga_ls7e_ard_3-1-0_110083_2019-11-02_final
2019-12-02 11:14:41	ga_ls7e_ard_3-1-0_112074_2019-12-02_final
2020-02-22 10:58:10	ga_ls7e_ard_3-1-0_110074_2020-02-22_final
2020-08-16 10:47:47	ga_ls7e_ard_3-1-0_110074_2020-08-16_final
2020-11-04 10:42:10	ga_ls7e_ard_3-1-0_110073_2020-11-04_final
2021-02-17 10:28:48	ga_ls7e_ard_3-2-0_109074_2021-02-17_final
2021-03-13 09:40:42	ga_ls7e_ard_3-2-0_101082_2021-03-13_final
2021-03-19 09:00:21	ga_ls7e_ard_3-2-0_095075_2021-03-18_final
2021-03-23 08:35:42	ga_ls7e_ard_3-2-0_091076_2021-03-22_final
2021-04-09 09:21:10	ga_ls7e_ard_3-2-0_098085_2021-04-08_final
2021-04-10 10:01:09	ga_ls7e_ard_3-2-0_105077_2021-04-10_final
2021-06-06 09:52:09	ga_ls7e_ard_3-2-0_104082_2021-06-06_final
2021-07-02 10:21:07	ga_ls7e_ard_3-2-0_110067_2021-07-02_final
2021-07-06 08:21:10	ga_ls7e_ard_3-2-0_090077_2021-07-05_final
2021-07-29 08:28:10	ga_ls7e_ard_3-2-0_091084_2021-07-28_final
2021-08-28 10:13:10	ga_ls7e_ard_3-2-0_109075_2021-08-28_final
2021-11-05 08:44:40	ga_ls7e_ard_3-2-0_096070_2021-11-04_final
2021-11-07 08:33:19	ga_ls7e_ard_3-2-0_094073_2021-11-06_final
2021-11-09 10:02:02	ga_ls7e_ard_3-2-0_108079_2021-11-09_final
2021-11-16 10:05:32	ga_ls7e_ard_3-2-1_109074_2021-11-16_final
2021-12-09 10:09:56	ga_ls7e_ard_3-2-1_110075_2021-12-09_final
2021-12-30 10:26:01	ga_ls7e_ard_3-2-1_113074_2021-12-30_final
2022-01-27 09:10:21	ga_ls7e_ard_3-2-1_101077_2022-01-26_final
2022-02-15 09:38:30	ga_ls7e_ard_3-2-1_106075_2022-02-15_final
2022-02-22 08:09:56	ga_ls7e_ard_3-2-1_091087_2022-02-21_final
2022-03-06 10:05:59	ga_ls7e_ard_3-2-1_111071_2022-03-06_final
2022-03-17 09:47:32	ga_ls7e_ard_3-2-1_108074_2022-03-17_final
2022-03-21 09:25:37	ga_ls7e_ard_3-2-1_104082_2022-03-20_final
2022-03-22 10:07:12	ga_ls7e_ard_3-2-1_111078_2022-03-22_final
2022-03-24 09:54:15	ga_ls7e_ard_3-2-1_109077_2022-03-24_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