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
1999-07-29 09:42:52	ga_ls7e_ard_3-0-0_095081_1999-07-29_final
2000-05-12 09:39:19	ga_ls7e_ard_3-0-0_095074_2000-05-12_final
2000-12-06 09:38:18	ga_ls7e_ard_3-0-0_095076_2000-12-06_final
2001-03-28 09:38:09	ga_ls7e_ard_3-0-0_095076_2001-03-28_final
2001-05-31 09:39:21	ga_ls7e_ard_3-0-0_095080_2001-05-31_final
2002-08-22 09:32:31	ga_ls7e_ard_3-0-0_095067_2002-08-22_final
2003-01-29 09:39:42	ga_ls7e_ard_3-0-0_095084_2003-01-29_final
2003-08-30 11:35:22	ga_ls7e_ard_3-0-0_114080_2003-08-30_final
2004-06-08 09:37:05	ga_ls7e_ard_3-0-0_095076_2004-06-08_final
2004-12-01 09:37:31	ga_ls7e_ard_3-0-0_095077_2004-12-01_final
2005-02-08 11:36:34	ga_ls7e_ard_3-0-0_114080_2005-02-08_final
2005-03-07 09:37:42	ga_ls7e_ard_3-0-0_095076_2005-03-07_final
2005-07-13 09:37:25	ga_ls7e_ard_3-0-0_095076_2005-07-13_final
2005-07-25 11:42:13	ga_ls7e_ard_3-0-0_115079_2005-07-25_final
2006-07-16 09:38:11	ga_ls7e_ard_3-0-0_095077_2006-07-16_final
2006-07-16 09:38:35	ga_ls7e_ard_3-0-0_095078_2006-07-16_final
2006-09-18 09:37:07	ga_ls7e_ard_3-0-0_095075_2006-09-18_final
2006-12-23 09:37:24	ga_ls7e_ard_3-0-0_095074_2006-12-23_final
2007-04-14 09:38:55	ga_ls7e_ard_3-0-0_095077_2007-04-14_final
2007-07-03 09:39:26	ga_ls7e_ard_3-1-0_095079_2007-07-03_final
2009-09-26 09:39:20	ga_ls7e_ard_3-1-0_095079_2009-09-26_final
2009-10-12 09:38:05	ga_ls7e_ard_3-0-0_095076_2009-10-12_final
2009-10-28 09:38:21	ga_ls7e_ard_3-0-0_095076_2009-10-28_final
2009-11-13 09:39:23	ga_ls7e_ard_3-0-0_095078_2009-11-13_final
2010-03-10 11:39:31	ga_ls7e_ard_3-0-0_114081_2010-03-10_final
2010-07-11 09:39:01	ga_ls7e_ard_3-1-0_095073_2010-07-11_final
2011-04-09 09:41:13	ga_ls7e_ard_3-0-0_095075_2011-04-09_final
2011-06-12 09:42:47	ga_ls7e_ard_3-1-0_095079_2011-06-12_final
2011-06-28 09:43:31	ga_ls7e_ard_3-0-0_095081_2011-06-28_final
2011-10-30 11:45:22	ga_ls7e_ard_3-1-0_115077_2011-10-30_final
2011-12-05 09:44:57	ga_ls7e_ard_3-0-0_095084_2011-12-05_final
2012-01-22 09:44:00	ga_ls7e_ard_3-0-0_095081_2012-01-22_final
2012-03-26 09:43:43	ga_ls7e_ard_3-0-0_095080_2012-03-26_final
2012-09-02 09:45:19	ga_ls7e_ard_3-0-0_095081_2012-09-02_final
2013-10-23 09:43:16	ga_ls7e_ard_3-0-0_095074_2013-10-23_final
2013-11-08 09:43:45	ga_ls7e_ard_3-0-0_095075_2013-11-08_final
2014-01-11 09:44:28	ga_ls7e_ard_3-0-0_095076_2014-01-11_final
2014-01-27 09:44:48	ga_ls7e_ard_3-0-0_095076_2014-01-27_final
2014-06-04 09:46:36	ga_ls7e_ard_3-1-0_095079_2014-06-04_final
2014-09-13 11:44:39	ga_ls7e_ard_3-0-0_114080_2014-09-13_final
2014-11-27 09:46:43	ga_ls7e_ard_3-0-0_095077_2014-11-27_final
2014-11-27 09:49:55	ga_ls7e_ard_3-0-0_095085_2014-11-27_final
2015-02-15 09:48:41	ga_ls7e_ard_3-0-0_095081_2015-02-15_final
2015-10-29 09:48:25	ga_ls7e_ard_3-0-0_095076_2015-10-29_final
2015-12-16 09:48:47	ga_ls7e_ard_3-0-0_095075_2015-12-16_final
2015-12-16 09:49:11	ga_ls7e_ard_3-0-0_095076_2015-12-16_final
2016-06-09 09:52:56	ga_ls7e_ard_3-0-0_095082_2016-06-09_final
2016-06-25 09:52:10	ga_ls7e_ard_3-0-0_095080_2016-06-25_final
2016-10-15 09:52:21	ga_ls7e_ard_3-0-0_095080_2016-10-15_final
2018-06-15 09:49:42	ga_ls7e_ard_3-0-0_095081_2018-06-15_final
2018-12-24 09:43:28	ga_ls7e_ard_3-0-0_095076_2018-12-24_final
2018-12-24 09:44:16	ga_ls7e_ard_3-0-0_095078_2018-12-24_final
2019-01-25 09:43:16	ga_ls7e_ard_3-0-0_095078_2019-01-25_final
2019-03-30 09:41:39	ga_ls7e_ard_3-1-0_095079_2019-03-30_final
2019-05-17 09:39:28	ga_ls7e_ard_3-0-0_095078_2019-05-17_final
2019-09-06 09:33:53	ga_ls7e_ard_3-1-0_095075_2019-09-06_final
2020-02-13 09:27:32	ga_ls7e_ard_3-1-0_095078_2020-02-12_final
2020-05-03 09:21:27	ga_ls7e_ard_3-1-0_095074_2020-05-02_final
2020-06-04 09:22:19	ga_ls7e_ard_3-1-0_095081_2020-06-03_final
2020-11-11 09:10:59	ga_ls7e_ard_3-1-0_095078_2020-11-10_final
2021-02-24 10:36:03	ga_ls7e_ard_3-2-0_110078_2021-02-24_final
2021-04-08 08:36:47	ga_ls7e_ard_3-2-0_091082_2021-04-07_final
2021-04-11 09:05:51	ga_ls7e_ard_3-2-0_096078_2021-04-10_final
2021-04-26 08:22:07	ga_ls7e_ard_3-2-0_089080_2021-04-25_final
2021-04-29 08:51:10	ga_ls7e_ard_3-2-0_094076_2021-04-28_final
2021-04-29 08:51:34	ga_ls7e_ard_3-2-0_094077_2021-04-28_final
2021-05-02 09:23:49	ga_ls7e_ard_3-2-0_099081_2021-05-01_final
2021-05-13 10:42:50	ga_ls7e_ard_3-2-0_112080_2021-05-13_final
2021-05-18 09:20:04	ga_ls7e_ard_3-2-0_099075_2021-05-17_final
2021-05-28 09:58:41	ga_ls7e_ard_3-2-0_105081_2021-05-28_final
2021-06-12 09:09:24	ga_ls7e_ard_3-2-0_098069_2021-06-11_final
2021-07-07 10:42:25	ga_ls7e_ard_3-2-0_113075_2021-07-07_final
2021-07-07 10:43:37	ga_ls7e_ard_3-2-0_113078_2021-07-07_final
2021-07-16 10:35:52	ga_ls7e_ard_3-2-0_112076_2021-07-16_final
2021-07-18 10:23:44	ga_ls7e_ard_3-2-0_110077_2021-07-18_final
2021-07-24 09:46:08	ga_ls7e_ard_3-2-0_104077_2021-07-24_final
2021-07-31 09:52:06	ga_ls7e_ard_3-2-0_105078_2021-07-31_final
2021-08-09 09:41:32	ga_ls7e_ard_3-2-0_104069_2021-08-09_final
2021-08-13 09:18:03	ga_ls7e_ard_3-2-0_100073_2021-08-12_final
2021-08-17 08:54:11	ga_ls7e_ard_3-2-0_096076_2021-08-16_final
2021-08-17 08:54:58	ga_ls7e_ard_3-2-0_096078_2021-08-16_final
2021-08-17 10:33:03	ga_ls7e_ard_3-2-0_112076_2021-08-17_final
2021-08-24 09:02:57	ga_ls7e_ard_3-2-0_097084_2021-08-23_final
2021-09-02 08:55:36	ga_ls7e_ard_3-2-0_096083_2021-09-01_final
2021-10-18 09:03:29	ga_ls7e_ard_3-2-0_098082_2021-10-17_final
2021-10-20 10:27:01	ga_ls7e_ard_3-2-0_112075_2021-10-20_final
2021-10-29 10:20:01	ga_ls7e_ard_3-2-0_111075_2021-10-29_final
2021-10-30 09:24:18	ga_ls7e_ard_3-2-0_102075_2021-10-29_final
2021-11-23 08:33:45	ga_ls7e_ard_3-2-1_094078_2021-11-22_final
2021-12-18 10:04:29	ga_ls7e_ard_3-2-1_109079_2021-12-18_final
2021-12-23 10:23:20	ga_ls7e_ard_3-2-1_112081_2021-12-23_final
2021-12-30 08:47:32	ga_ls7e_ard_3-2-1_097075_2021-12-29_final
2022-01-05 09:47:55	ga_ls7e_ard_3-2-1_107073_2022-01-05_final
2022-01-21 09:48:49	ga_ls7e_ard_3-2-1_107079_2022-01-21_final
2022-02-09 08:38:32	ga_ls7e_ard_3-2-1_096078_2022-02-08_final
2022-02-11 08:27:34	ga_ls7e_ard_3-2-1_094082_2022-02-10_final
2022-02-18 10:09:55	ga_ls7e_ard_3-2-1_111077_2022-02-18_final
2022-02-25 08:37:21	ga_ls7e_ard_3-2-1_096079_2022-02-24_final
2022-03-22 08:28:43	ga_ls7e_ard_3-2-1_095079_2022-03-21_final
2022-03-31 10:00:34	ga_ls7e_ard_3-2-1_110079_2022-03-31_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