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
1999-07-02 11:39:44	ga_ls7e_ard_3-0-0_114080_1999-07-02_final
1999-07-29 09:44:28	ga_ls7e_ard_3-0-0_095085_1999-07-29_final
1999-08-17 11:51:26	ga_ls7e_ard_3-0-0_116078_1999-08-17_final
1999-09-15 09:44:25	ga_ls7e_ard_3-0-0_095085_1999-09-15_final
1999-12-20 09:44:31	ga_ls7e_ard_3-0-0_095085_1999-12-20_final
2000-06-13 09:39:28	ga_ls7e_ard_3-0-0_095075_2000-06-13_final
2000-10-19 09:39:23	ga_ls7e_ard_3-1-0_095079_2000-10-19_final
2000-11-20 09:39:31	ga_ls7e_ard_3-1-0_095079_2000-11-20_final
2001-03-12 09:40:19	ga_ls7e_ard_3-0-0_095081_2001-03-12_final
2001-03-17 11:35:17	ga_ls7e_ard_3-0-0_114075_2001-03-17_final
2001-07-18 09:37:44	ga_ls7e_ard_3-1-0_095077_2001-07-18_final
2001-07-23 11:36:42	ga_ls7e_ard_3-0-0_114081_2001-07-23_final
2001-08-08 11:35:37	ga_ls7e_ard_3-0-0_114079_2001-08-08_final
2002-01-26 09:38:03	ga_ls7e_ard_3-1-0_095079_2002-01-26_final
2002-09-28 11:34:46	ga_ls7e_ard_3-0-0_114080_2002-09-28_final
2003-08-25 09:37:11	ga_ls7e_ard_3-0-0_095078_2003-08-25_final
2003-09-26 09:36:35	ga_ls7e_ard_3-0-0_095077_2003-09-26_final
2003-10-28 09:37:12	ga_ls7e_ard_3-0-0_095078_2003-10-28_final
2003-12-31 09:38:06	ga_ls7e_ard_3-1-0_095079_2003-12-31_final
2004-02-17 09:38:18	ga_ls7e_ard_3-1-0_095079_2004-02-17_final
2004-05-07 09:40:22	ga_ls7e_ard_3-0-0_095084_2004-05-07_final
2004-08-27 09:37:58	ga_ls7e_ard_3-1-0_095079_2004-08-27_final
2004-08-27 09:40:21	ga_ls7e_ard_3-1-0_095085_2004-08-27_final
2005-09-15 09:37:51	ga_ls7e_ard_3-0-0_095078_2005-09-15_final
2005-10-17 09:37:33	ga_ls7e_ard_3-0-0_095077_2005-10-17_final
2006-03-10 09:39:18	ga_ls7e_ard_3-1-0_095079_2006-03-10_final
2007-03-13 09:39:43	ga_ls7e_ard_3-1-0_095079_2007-03-13_final
2007-09-05 09:41:04	ga_ls7e_ard_3-0-0_095084_2007-09-05_final
2008-06-24 11:35:04	ga_ls7e_ard_3-0-0_114076_2008-06-24_final
2009-08-09 09:37:47	ga_ls7e_ard_3-0-0_095075_2009-08-09_final
2010-01-16 09:39:55	ga_ls7e_ard_3-0-0_095077_2010-01-16_final
2010-02-17 09:42:43	ga_ls7e_ard_3-0-0_095083_2010-02-17_final
2010-06-09 09:40:08	ga_ls7e_ard_3-0-0_095076_2010-06-09_final
2010-08-01 11:38:50	ga_ls7e_ard_3-0-0_114079_2010-08-01_final
2011-05-27 09:42:47	ga_ls7e_ard_3-1-0_095079_2011-05-27_final
2012-08-01 09:43:44	ga_ls7e_ard_3-0-0_095078_2012-08-01_final
2013-06-01 09:43:20	ga_ls7e_ard_3-0-0_095075_2013-06-01_final
2013-09-21 09:43:18	ga_ls7e_ard_3-0-0_095075_2013-09-21_final
2013-10-07 09:44:18	ga_ls7e_ard_3-0-0_095077_2013-10-07_final
2014-10-10 09:46:21	ga_ls7e_ard_3-0-0_095077_2014-10-10_final
2014-11-27 09:47:31	ga_ls7e_ard_3-1-0_095079_2014-11-27_final
2015-05-06 09:48:56	ga_ls7e_ard_3-0-0_095080_2015-05-06_final
2015-06-07 09:48:22	ga_ls7e_ard_3-0-0_095078_2015-06-07_final
2015-06-23 09:46:48	ga_ls7e_ard_3-0-0_095074_2015-06-23_final
2016-05-24 09:53:38	ga_ls7e_ard_3-0-0_095084_2016-05-24_final
2016-12-02 09:52:06	ga_ls7e_ard_3-0-0_095080_2016-12-02_final
2017-03-08 09:52:07	ga_ls7e_ard_3-0-0_095081_2017-03-08_final
2017-04-09 09:49:54	ga_ls7e_ard_3-0-0_095075_2017-04-09_final
2017-05-11 09:52:28	ga_ls7e_ard_3-0-0_095081_2017-05-11_final
2017-06-17 11:48:03	ga_ls7e_ard_3-0-0_114076_2017-06-17_final
2017-08-15 09:50:12	ga_ls7e_ard_3-0-0_095075_2017-08-15_final
2018-02-28 11:46:48	ga_ls7e_ard_3-0-0_114076_2018-02-28_final
2018-05-14 09:51:50	ga_ls7e_ard_3-0-0_095085_2018-05-14_final
2018-06-20 11:45:02	ga_ls7e_ard_3-0-0_114076_2018-06-20_final
2018-07-29 11:51:41	ga_ls7e_ard_3-0-0_115079_2018-07-29_final
2018-08-02 09:47:37	ga_ls7e_ard_3-0-0_095078_2018-08-02_final
2018-11-11 11:42:26	ga_ls7e_ard_3-0-0_114077_2018-11-11_final
2019-05-17 09:39:04	ga_ls7e_ard_3-0-0_095077_2019-05-17_final
2020-02-13 09:27:08	ga_ls7e_ard_3-1-0_095077_2020-02-12_final
2020-05-03 09:23:03	ga_ls7e_ard_3-1-0_095078_2020-05-02_final
2020-11-27 09:09:27	ga_ls7e_ard_3-1-0_095077_2020-11-26_final
2021-02-28 10:12:13	ga_ls7e_ard_3-2-0_106081_2021-02-28_final
2021-03-17 10:51:45	ga_ls7e_ard_3-2-0_113075_2021-03-17_final
2021-03-27 09:48:21	ga_ls7e_ard_3-2-0_103073_2021-03-27_final
2021-03-29 09:37:01	ga_ls7e_ard_3-2-0_101076_2021-03-29_final
2021-04-18 09:13:02	ga_ls7e_ard_3-2-0_097082_2021-04-17_final
2021-04-20 08:57:43	ga_ls7e_ard_3-2-0_095075_2021-04-19_final
2021-04-20 08:58:30	ga_ls7e_ard_3-2-0_095077_2021-04-19_final
2021-04-22 08:46:46	ga_ls7e_ard_3-2-0_093079_2021-04-21_final
2021-04-28 09:47:40	ga_ls7e_ard_3-2-0_103078_2021-04-28_final
2021-04-29 10:30:26	ga_ls7e_ard_3-2-0_110077_2021-04-29_final
2021-05-06 08:57:58	ga_ls7e_ard_3-2-0_095079_2021-05-05_final
2021-05-13 10:40:50	ga_ls7e_ard_3-2-0_112075_2021-05-13_final
2021-05-22 08:57:48	ga_ls7e_ard_3-2-0_095082_2021-05-21_final
2021-06-04 10:03:29	ga_ls7e_ard_3-2-0_106079_2021-06-04_final
2021-06-04 10:05:04	ga_ls7e_ard_3-2-0_106083_2021-06-04_final
2021-06-05 10:45:52	ga_ls7e_ard_3-2-0_113077_2021-06-05_final
2021-06-27 10:07:23	ga_ls7e_ard_3-2-0_107078_2021-06-27_final
2021-07-01 09:42:19	ga_ls7e_ard_3-2-0_103078_2021-07-01_final
2021-07-18 08:44:52	ga_ls7e_ard_3-2-0_094077_2021-07-17_final
2021-08-08 09:00:46	ga_ls7e_ard_3-2-0_097075_2021-08-07_final
2021-08-10 08:48:37	ga_ls7e_ard_3-2-0_095076_2021-08-09_final
2021-08-28 08:35:53	ga_ls7e_ard_3-2-0_093079_2021-08-27_final
2021-08-31 09:07:44	ga_ls7e_ard_3-2-0_098082_2021-08-30_final
2021-09-08 09:55:16	ga_ls7e_ard_3-2-0_106079_2021-09-08_final
2021-09-18 08:53:23	ga_ls7e_ard_3-2-0_096081_2021-09-17_final
2021-09-20 08:40:03	ga_ls7e_ard_3-2-0_094079_2021-09-19_final
2021-09-24 09:53:51	ga_ls7e_ard_3-2-0_106079_2021-09-24_final
2021-10-03 09:47:16	ga_ls7e_ard_3-2-0_105080_2021-10-03_final
2021-10-04 10:30:50	ga_ls7e_ard_3-2-0_112081_2021-10-04_final
2021-10-05 09:33:56	ga_ls7e_ard_3-2-0_103078_2021-10-05_final
2021-10-23 09:20:22	ga_ls7e_ard_3-2-0_101079_2021-10-22_final
2021-10-31 10:09:28	ga_ls7e_ard_3-2-0_109080_2021-10-31_final
2021-11-29 09:35:23	ga_ls7e_ard_3-2-1_104079_2021-11-29_final
2021-12-23 10:22:08	ga_ls7e_ard_3-2-1_112078_2021-12-23_final
2021-12-31 09:30:18	ga_ls7e_ard_3-2-1_104074_2021-12-31_final
2022-01-02 09:19:43	ga_ls7e_ard_3-2-1_102079_2022-01-01_final
2022-01-17 10:13:07	ga_ls7e_ard_3-2-1_111077_2022-01-17_final
2022-01-21 09:48:25	ga_ls7e_ard_3-2-1_107078_2022-01-21_final
2022-03-12 09:31:06	ga_ls7e_ard_3-2-1_105078_2022-03-12_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