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
1999-12-04 09:44:02	ga_ls7e_ard_3-0-0_095084_1999-12-04_final
2000-01-05 09:40:50	ga_ls7e_ard_3-0-0_095076_2000-01-05_final
2000-01-05 09:41:14	ga_ls7e_ard_3-0-0_095077_2000-01-05_final
2000-02-06 09:42:21	ga_ls7e_ard_3-0-0_095080_2000-02-06_final
2000-09-17 09:42:08	ga_ls7e_ard_3-0-0_095085_2000-09-17_final
2000-10-19 09:37:23	ga_ls7e_ard_3-0-0_095074_2000-10-19_final
2000-11-20 09:40:43	ga_ls7e_ard_3-0-0_095082_2000-11-20_final
2001-07-02 09:40:09	ga_ls7e_ard_3-0-0_095083_2001-07-02_final
2001-08-19 09:38:25	ga_ls7e_ard_3-0-0_095080_2001-08-19_final
2002-05-14 11:39:32	ga_ls7e_ard_3-0-0_115074_2002-05-14_final
2002-05-30 11:39:25	ga_ls7e_ard_3-0-0_115074_2002-05-30_final
2003-04-19 09:38:20	ga_ls7e_ard_3-0-0_095080_2003-04-19_final
2004-04-05 09:37:39	ga_ls7e_ard_3-0-0_095077_2004-04-05_final
2004-10-14 09:36:35	ga_ls7e_ard_3-0-0_095076_2004-10-14_final
2005-04-24 09:38:45	ga_ls7e_ard_3-1-0_095079_2005-04-24_final
2005-08-14 09:36:32	ga_ls7e_ard_3-0-0_095074_2005-08-14_final
2007-04-30 09:40:27	ga_ls7e_ard_3-0-0_095081_2007-04-30_final
2007-12-10 09:39:53	ga_ls7e_ard_3-0-0_095080_2007-12-10_final
2008-03-15 09:38:08	ga_ls7e_ard_3-0-0_095076_2008-03-15_final
2008-03-31 09:38:09	ga_ls7e_ard_3-0-0_095076_2008-03-31_final
2008-08-06 09:38:25	ga_ls7e_ard_3-1-0_095079_2008-08-06_final
2008-08-06 09:39:13	ga_ls7e_ard_3-0-0_095081_2008-08-06_final
2009-04-03 09:38:17	ga_ls7e_ard_3-0-0_095076_2009-04-03_final
2009-06-06 09:38:02	ga_ls7e_ard_3-0-0_095075_2009-06-06_final
2009-07-24 09:40:16	ga_ls7e_ard_3-0-0_095081_2009-07-24_final
2009-08-09 09:38:35	ga_ls7e_ard_3-0-0_095077_2009-08-09_final
2009-09-10 09:38:58	ga_ls7e_ard_3-0-0_095078_2009-09-10_final
2010-01-16 09:39:08	ga_ls7e_ard_3-0-0_095075_2010-01-16_final
2010-08-28 09:41:04	ga_ls7e_ard_3-0-0_095078_2010-08-28_final
2010-08-28 09:41:28	ga_ls7e_ard_3-1-0_095079_2010-08-28_final
2010-08-28 09:43:03	ga_ls7e_ard_3-0-0_095083_2010-08-28_final
2011-12-21 09:43:05	ga_ls7e_ard_3-1-0_095079_2011-12-21_final
2012-01-06 09:45:13	ga_ls7e_ard_3-0-0_095084_2012-01-06_final
2012-05-13 09:44:42	ga_ls7e_ard_3-0-0_095081_2012-05-13_final
2012-05-25 11:46:35	ga_ls7e_ard_3-1-0_115077_2012-05-25_final
2012-06-30 09:43:45	ga_ls7e_ard_3-1-0_095079_2012-06-30_final
2012-09-02 09:44:07	ga_ls7e_ard_3-0-0_095078_2012-09-02_final
2012-11-05 09:43:26	ga_ls7e_ard_3-0-0_095075_2012-11-05_final
2012-11-05 09:43:50	ga_ls7e_ard_3-0-0_095076_2012-11-05_final
2012-11-21 09:47:11	ga_ls7e_ard_3-0-0_095084_2012-11-21_final
2013-03-29 09:44:26	ga_ls7e_ard_3-0-0_095077_2013-03-29_final
2014-08-23 09:45:13	ga_ls7e_ard_3-0-0_095075_2014-08-23_final
2014-10-10 09:47:57	ga_ls7e_ard_3-0-0_095081_2014-10-10_final
2014-10-26 09:46:06	ga_ls7e_ard_3-0-0_095076_2014-10-26_final
2014-11-27 09:47:07	ga_ls7e_ard_3-0-0_095078_2014-11-27_final
2015-06-23 09:47:36	ga_ls7e_ard_3-0-0_095076_2015-06-23_final
2015-09-11 09:47:30	ga_ls7e_ard_3-0-0_095075_2015-09-11_final
2017-01-03 09:53:04	ga_ls7e_ard_3-0-0_095083_2017-01-03_final
2017-04-25 09:51:36	ga_ls7e_ard_3-1-0_095079_2017-04-25_final
2017-08-15 09:52:36	ga_ls7e_ard_3-0-0_095081_2017-08-15_final
2017-10-02 09:52:35	ga_ls7e_ard_3-0-0_095081_2017-10-02_final
2019-03-26 11:44:35	ga_ls7e_ard_3-1-0_115077_2019-03-26_final
2019-08-21 09:36:10	ga_ls7e_ard_3-1-0_095079_2019-08-21_final
2021-01-21 09:11:40	ga_ls7e_ard_3-2-0_096077_2021-01-20_final
2021-02-16 09:46:01	ga_ls7e_ard_3-2-0_102075_2021-02-16_final
2021-03-05 08:49:30	ga_ls7e_ard_3-2-0_093076_2021-03-04_final
2021-03-07 10:14:16	ga_ls7e_ard_3-2-0_107072_2021-03-07_final
2021-03-08 09:21:21	ga_ls7e_ard_3-2-0_098079_2021-03-07_final
2021-03-25 10:02:28	ga_ls7e_ard_3-2-0_105077_2021-03-25_final
2021-03-29 09:36:37	ga_ls7e_ard_3-2-0_101075_2021-03-29_final
2021-03-31 09:24:06	ga_ls7e_ard_3-2-0_099075_2021-03-30_final
2021-04-02 09:14:22	ga_ls7e_ard_3-2-0_097082_2021-04-01_final
2021-04-03 09:55:33	ga_ls7e_ard_3-2-0_104077_2021-04-03_final
2021-04-09 10:56:27	ga_ls7e_ard_3-2-0_114076_2021-04-09_final
2021-04-11 10:44:19	ga_ls7e_ard_3-2-0_112077_2021-04-11_final
2021-04-23 09:27:57	ga_ls7e_ard_3-2-0_100074_2021-04-22_final
2021-05-06 10:35:15	ga_ls7e_ard_3-2-0_111075_2021-05-06_final
2021-05-16 09:31:48	ga_ls7e_ard_3-2-0_101073_2021-05-16_final
2021-05-20 09:07:33	ga_ls7e_ard_3-2-0_097075_2021-05-19_final
2021-05-30 09:42:10	ga_ls7e_ard_3-2-0_103071_2021-05-30_final
2021-05-30 09:43:46	ga_ls7e_ard_3-2-0_103075_2021-05-30_final
2021-06-07 08:54:28	ga_ls7e_ard_3-2-0_095077_2021-06-06_final
2021-06-17 09:32:19	ga_ls7e_ard_3-2-0_101081_2021-06-17_final
2021-06-29 09:54:27	ga_ls7e_ard_3-2-0_105077_2021-06-29_final
2021-07-07 10:42:49	ga_ls7e_ard_3-2-0_113076_2021-07-07_final
2021-07-23 09:02:58	ga_ls7e_ard_3-2-0_097077_2021-07-22_final
2021-07-31 09:49:19	ga_ls7e_ard_3-2-0_105071_2021-07-31_final
2021-08-03 08:44:16	ga_ls7e_ard_3-2-0_094079_2021-08-02_final
2021-08-09 09:45:32	ga_ls7e_ard_3-2-0_104079_2021-08-09_final
2021-08-18 09:38:57	ga_ls7e_ard_3-2-0_103080_2021-08-18_final
2021-08-30 08:23:22	ga_ls7e_ard_3-2-0_091079_2021-08-29_final
2021-09-01 09:49:18	ga_ls7e_ard_3-2-0_105078_2021-09-01_final
2021-09-16 09:03:08	ga_ls7e_ard_3-2-0_098074_2021-09-15_final
2021-09-18 10:32:40	ga_ls7e_ard_3-2-0_112082_2021-09-18_final
2021-09-28 09:28:46	ga_ls7e_ard_3-2-0_102079_2021-09-27_final
2021-10-04 08:49:10	ga_ls7e_ard_3-2-0_096074_2021-10-03_final
2021-11-09 10:01:38	ga_ls7e_ard_3-2-0_108078_2021-11-09_final
2021-11-30 10:20:09	ga_ls7e_ard_3-2-1_111083_2021-11-30_final
2022-01-24 08:41:44	ga_ls7e_ard_3-2-1_096082_2022-01-23_final
2022-01-25 09:22:54	ga_ls7e_ard_3-2-1_103077_2022-01-24_final
2022-01-31 08:45:14	ga_ls7e_ard_3-2-1_097077_2022-01-30_final
2022-02-07 08:50:18	ga_ls7e_ard_3-2-1_098076_2022-02-06_final
2022-02-10 09:20:30	ga_ls7e_ard_3-2-1_103075_2022-02-09_final
2022-02-12 09:10:19	ga_ls7e_ard_3-2-1_101081_2022-02-11_final
2022-02-16 10:21:40	ga_ls7e_ard_3-2-1_113075_2022-02-16_final
2022-02-18 08:30:14	ga_ls7e_ard_3-2-1_095075_2022-02-17_final
2022-02-23 08:48:19	ga_ls7e_ard_3-2-1_098075_2022-02-22_final
2022-03-06 10:07:59	ga_ls7e_ard_3-2-1_111076_2022-03-06_final
2022-03-27 08:45:11	ga_ls7e_ard_3-2-1_098075_2022-03-26_final
2022-04-04 09:35:03	ga_ls7e_ard_3-2-1_106078_2022-04-04_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