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
1999-08-19 11:38:15	ga_ls7e_ard_3-0-0_114076_1999-08-19_final
1999-12-02 11:34:50	ga_ls7e_ard_3-0-0_113083_1999-12-02_final
1999-12-16 11:44:10	ga_ls7e_ard_3-0-0_115075_1999-12-16_final
2000-01-17 11:44:00	ga_ls7e_ard_3-0-0_115075_2000-01-17_final
2000-12-04 11:32:22	ga_ls7e_ard_3-0-0_113083_2000-12-04_final
2001-10-27 11:34:32	ga_ls7e_ard_3-0-0_114078_2001-10-27_final
2001-11-07 09:40:00	ga_ls7e_ard_3-0-0_095085_2001-11-07_final
2001-11-19 11:40:08	ga_ls7e_ard_3-0-0_115076_2001-11-19_final
2002-08-06 09:36:10	ga_ls7e_ard_3-0-0_095076_2002-08-06_final
2002-08-18 11:39:22	ga_ls7e_ard_3-0-0_115075_2002-08-18_final
2002-12-28 09:37:56	ga_ls7e_ard_3-0-0_095080_2002-12-28_final
2003-01-18 11:35:05	ga_ls7e_ard_3-0-0_114079_2003-01-18_final
2003-09-26 09:38:11	ga_ls7e_ard_3-0-0_095081_2003-09-26_final
2003-12-15 09:36:22	ga_ls7e_ard_3-0-0_095075_2003-12-15_final
2003-12-15 09:36:46	ga_ls7e_ard_3-0-0_095076_2003-12-15_final
2004-02-01 09:33:29	ga_ls7e_ard_3-0-0_095067_2004-02-01_final
2004-11-15 09:36:08	ga_ls7e_ard_3-0-0_095074_2004-11-15_final
2004-11-15 09:36:32	ga_ls7e_ard_3-0-0_095075_2004-11-15_final
2005-01-02 09:40:09	ga_ls7e_ard_3-0-0_095083_2005-01-02_final
2005-09-29 11:31:30	ga_ls7e_ard_3-0-0_113084_2005-09-29_final
2005-10-01 09:38:40	ga_ls7e_ard_3-0-0_095080_2005-10-01_final
2006-07-28 11:41:42	ga_ls7e_ard_3-1-0_115077_2006-07-28_final
2006-09-18 09:39:07	ga_ls7e_ard_3-0-0_095080_2006-09-18_final
2007-03-13 09:38:07	ga_ls7e_ard_3-0-0_095075_2007-03-13_final
2007-10-07 09:34:05	ga_ls7e_ard_3-0-0_095067_2007-10-07_final
2007-10-28 11:34:58	ga_ls7e_ard_3-0-0_114075_2007-10-28_final
2007-12-10 09:41:52	ga_ls7e_ard_3-0-0_095085_2007-12-10_final
2008-02-24 11:42:14	ga_ls7e_ard_3-0-0_115077_2008-02-24_final
2008-02-26 11:31:28	ga_ls7e_ard_3-0-0_113081_2008-02-26_final
2008-12-17 11:36:08	ga_ls7e_ard_3-0-0_114079_2008-12-17_final
2009-01-02 11:35:03	ga_ls7e_ard_3-0-0_114076_2009-01-02_final
2009-04-17 11:31:35	ga_ls7e_ard_3-0-0_113081_2009-04-17_final
2009-07-24 09:41:52	ga_ls7e_ard_3-0-0_095085_2009-07-24_final
2010-05-06 11:33:24	ga_ls7e_ard_3-0-0_113081_2010-05-06_final
2010-07-11 09:43:48	ga_ls7e_ard_3-0-0_095085_2010-07-11_final
2010-10-31 09:42:07	ga_ls7e_ard_3-0-0_095080_2010-10-31_final
2010-12-02 09:43:42	ga_ls7e_ard_3-0-0_095083_2010-12-02_final
2011-01-24 11:39:58	ga_ls7e_ard_3-0-0_114079_2011-01-24_final
2011-02-25 11:40:07	ga_ls7e_ard_3-0-0_114079_2011-02-25_final
2011-05-07 11:46:25	ga_ls7e_ard_3-0-0_115079_2011-05-07_final
2011-05-16 11:38:35	ga_ls7e_ard_3-0-0_114075_2011-05-16_final
2012-04-16 11:39:05	ga_ls7e_ard_3-0-0_114075_2012-04-16_final
2012-07-12 11:45:57	ga_ls7e_ard_3-0-0_115075_2012-07-12_final
2013-02-14 11:40:50	ga_ls7e_ard_3-0-0_114074_2013-02-14_final
2013-05-16 09:42:17	ga_ls7e_ard_3-0-0_095072_2013-05-16_final
2013-08-20 09:46:56	ga_ls7e_ard_3-0-0_095085_2013-08-20_final
2013-09-01 11:47:29	ga_ls7e_ard_3-0-0_115077_2013-09-01_final
2013-09-05 09:42:20	ga_ls7e_ard_3-1-0_095073_2013-09-05_final
2014-02-28 09:48:42	ga_ls7e_ard_3-0-0_095086_2014-02-28_final
2014-03-21 11:41:56	ga_ls7e_ard_3-0-0_114075_2014-03-21_final
2014-07-22 09:48:45	ga_ls7e_ard_3-0-0_095084_2014-07-22_final
2016-03-01 11:54:45	ga_ls7e_ard_3-0-0_115079_2016-03-01_final
2016-04-18 11:54:18	ga_ls7e_ard_3-1-0_115077_2016-04-18_final
2016-09-02 11:44:31	ga_ls7e_ard_3-0-0_114067_2016-09-02_final
2016-11-16 09:54:07	ga_ls7e_ard_3-0-0_095085_2016-11-16_final
2017-02-20 09:53:12	ga_ls7e_ard_3-0-0_095084_2017-02-20_final
2017-07-19 11:48:53	ga_ls7e_ard_3-0-0_114078_2017-07-19_final
2017-08-15 09:50:36	ga_ls7e_ard_3-0-0_095076_2017-08-15_final
2017-10-14 11:54:38	ga_ls7e_ard_3-1-0_115077_2017-10-14_final
2018-07-01 09:50:59	ga_ls7e_ard_3-0-0_095085_2018-07-01_final
2018-08-02 09:49:13	ga_ls7e_ard_3-0-0_095082_2018-08-02_final
2019-08-21 09:36:58	ga_ls7e_ard_3-0-0_095081_2019-08-21_final
2019-12-09 11:23:43	ga_ls7e_ard_3-1-0_113082_2019-12-09_final
2020-03-28 11:27:09	ga_ls7e_ard_3-1-0_115074_2020-03-28_final
2020-07-02 11:22:40	ga_ls7e_ard_3-1-0_115077_2020-07-02_final
2021-03-10 09:05:39	ga_ls7e_ard_3-2-0_096071_2021-03-09_final
2021-03-11 09:48:26	ga_ls7e_ard_3-2-0_103070_2021-03-11_final
2021-04-06 10:23:24	ga_ls7e_ard_3-2-0_109070_2021-04-06_final
2021-04-07 09:33:17	ga_ls7e_ard_3-2-0_100084_2021-04-07_final
2021-04-09 09:18:46	ga_ls7e_ard_3-2-0_098079_2021-04-08_final
2021-05-25 09:28:27	ga_ls7e_ard_3-2-0_100082_2021-05-24_final
2021-05-29 09:00:59	ga_ls7e_ard_3-2-0_096076_2021-05-28_final
2021-05-31 08:51:39	ga_ls7e_ard_3-2-0_094084_2021-05-30_final
2021-06-04 08:25:48	ga_ls7e_ard_3-2-0_090082_2021-06-03_final
2021-06-14 08:56:05	ga_ls7e_ard_3-2-0_096067_2021-06-13_final
2021-06-15 09:40:04	ga_ls7e_ard_3-2-0_103069_2021-06-15_final
2021-06-18 08:37:01	ga_ls7e_ard_3-2-0_092082_2021-06-17_final
2021-06-21 09:06:29	ga_ls7e_ard_3-2-0_097079_2021-06-20_final
2021-06-28 09:09:17	ga_ls7e_ard_3-2-0_098072_2021-06-27_final
2021-07-04 10:12:10	ga_ls7e_ard_3-2-0_108076_2021-07-04_final
2021-07-20 10:08:01	ga_ls7e_ard_3-2-0_108069_2021-07-20_final
2021-08-12 10:17:21	ga_ls7e_ard_3-2-0_109082_2021-08-12_final
2021-08-15 10:47:11	ga_ls7e_ard_3-2-0_114080_2021-08-15_final
2021-09-18 08:50:59	ga_ls7e_ard_3-2-0_096075_2021-09-17_final
2021-10-09 09:07:16	ga_ls7e_ard_3-2-0_099074_2021-10-08_final
2021-10-17 08:19:31	ga_ls7e_ard_3-2-0_091080_2021-10-16_final
2021-11-05 08:46:40	ga_ls7e_ard_3-2-0_096075_2021-11-04_final
2021-11-16 08:27:04	ga_ls7e_ard_3-2-1_093075_2021-11-15_final
2021-11-26 10:42:51	ga_ls7e_ard_3-2-1_115077_2021-11-26_final
2021-11-29 09:32:36	ga_ls7e_ard_3-2-1_104072_2021-11-29_final
2021-11-30 08:42:04	ga_ls7e_ard_3-2-1_095085_2021-11-29_final
2021-12-02 08:28:43	ga_ls7e_ard_3-2-1_093083_2021-12-01_final
2021-12-14 08:50:43	ga_ls7e_ard_3-2-1_097079_2021-12-13_final
2021-12-25 08:32:42	ga_ls7e_ard_3-2-1_094083_2021-12-24_final
2021-12-27 08:19:44	ga_ls7e_ard_3-2-1_092082_2021-12-26_final
2021-12-27 09:57:25	ga_ls7e_ard_3-2-1_108079_2021-12-27_final
2022-02-06 09:47:37	ga_ls7e_ard_3-2-1_107080_2022-02-06_final
2022-02-09 08:39:20	ga_ls7e_ard_3-2-1_096080_2022-02-08_final
2022-02-10 09:22:29	ga_ls7e_ard_3-2-1_103080_2022-02-09_final
2022-03-15 10:03:17	ga_ls7e_ard_3-2-1_110082_2022-03-15_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