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
1999-11-24 09:05:40	ga_ls7e_ard_3-1-0_089081_1999-11-23_final
2002-02-01 09:01:43	ga_ls7e_ard_3-1-0_089081_2002-01-31_final
2003-11-19 09:01:32	ga_ls7e_ard_3-1-0_089081_2003-11-18_final
2004-03-03 10:30:23	ga_ls7e_ard_3-1-0_104070_2004-03-03_final
2004-11-12 09:09:37	ga_ls7e_ard_3-1-0_090085_2004-11-11_final
2005-02-15 11:41:36	ga_ls7e_ard_3-1-0_115077_2005-02-15_final
2005-02-28 11:08:47	ga_ls7e_ard_3-1-0_110072_2005-02-28_final
2005-03-16 11:10:00	ga_ls7e_ard_3-1-0_110075_2005-03-16_final
2005-04-20 11:41:31	ga_ls7e_ard_3-1-0_115077_2005-04-20_final
2005-10-30 10:44:54	ga_ls7e_ard_3-1-0_106075_2005-10-30_final
2005-11-09 11:25:41	ga_ls7e_ard_3-1-0_112084_2005-11-09_final
2005-12-01 10:45:10	ga_ls7e_ard_3-1-0_106075_2005-12-01_final
2006-03-12 09:30:08	ga_ls7e_ard_3-1-0_093087_2006-03-12_final
2006-05-31 09:30:05	ga_ls7e_ard_3-1-0_093087_2006-05-31_final
2007-01-08 09:37:01	ga_ls7e_ard_3-1-0_095073_2007-01-08_final
2007-07-21 09:29:48	ga_ls7e_ard_3-1-0_093086_2007-07-20_final
2007-08-25 09:58:06	ga_ls7e_ard_3-1-0_098080_2007-08-25_final
2007-09-30 11:08:51	ga_ls7e_ard_3-1-0_110072_2007-09-30_final
2007-10-30 11:26:13	ga_ls7e_ard_3-1-0_112084_2007-10-30_final
2008-02-09 09:11:00	ga_ls7e_ard_3-1-0_090085_2008-02-08_final
2009-03-07 09:59:01	ga_ls7e_ard_3-1-0_098082_2009-03-07_final
2009-05-08 10:12:31	ga_ls7e_ard_3-1-0_100084_2009-05-08_final
2009-07-10 09:29:59	ga_ls7e_ard_3-1-0_093086_2009-07-09_final
2010-02-26 11:11:07	ga_ls7e_ard_3-1-0_110072_2010-02-26_final
2011-02-01 09:14:05	ga_ls7e_ard_3-1-0_090085_2011-01-31_final
2011-02-09 10:01:33	ga_ls7e_ard_3-1-0_098080_2011-02-09_final
2011-09-18 09:33:18	ga_ls7e_ard_3-1-0_093087_2011-09-18_final
2011-11-21 09:33:41	ga_ls7e_ard_3-1-0_093087_2011-11-21_final
2011-12-11 09:06:41	ga_ls7e_ard_3-1-0_089081_2011-12-10_final
2012-04-01 09:10:13	ga_ls7e_ard_3-1-0_089089_2012-03-31_final
2012-05-06 11:13:40	ga_ls7e_ard_3-1-0_110072_2012-05-06_final
2012-08-03 09:35:00	ga_ls7e_ard_3-1-0_093087_2012-08-03_final
2013-01-08 09:42:58	ga_ls7e_ard_3-1-0_095073_2013-01-08_final
2013-02-05 10:12:32	ga_ls7e_ard_3-1-0_099085_2013-02-05_final
2014-07-08 09:37:33	ga_ls7e_ard_3-1-0_093087_2014-07-08_final
2014-12-22 11:17:39	ga_ls7e_ard_3-1-0_110072_2014-12-22_final
2015-12-13 10:56:43	ga_ls7e_ard_3-1-0_106075_2015-12-13_final
2016-03-21 09:48:56	ga_ls7e_ard_3-1-0_095073_2016-03-21_final
2016-04-19 10:57:53	ga_ls7e_ard_3-1-0_106075_2016-04-19_final
2018-03-02 11:33:38	ga_ls7e_ard_3-1-0_112074_2018-03-02_final
2018-10-07 09:37:26	ga_ls7e_ard_3-1-0_093087_2018-10-07_final
2018-12-05 09:16:42	ga_ls7e_ard_3-1-0_090085_2018-12-04_final
2018-12-05 10:51:35	ga_ls7e_ard_3-1-0_106075_2018-12-05_final
2019-01-16 11:31:01	ga_ls7e_ard_3-1-0_112084_2019-01-16_final
2019-02-10 09:40:47	ga_ls7e_ard_3-1-0_095073_2019-02-10_final
2019-02-19 11:14:49	ga_ls7e_ard_3-1-0_110077_2019-02-19_final
2019-02-26 11:19:11	ga_ls7e_ard_3-1-0_111073_2019-02-26_final
2019-03-01 10:10:42	ga_ls7e_ard_3-1-0_100072_2019-03-01_final
2019-03-07 09:34:14	ga_ls7e_ard_3-1-0_094074_2019-03-07_final
2019-03-07 11:13:31	ga_ls7e_ard_3-1-0_110075_2019-03-07_final
2019-03-10 10:03:27	ga_ls7e_ard_3-1-0_099070_2019-03-10_final
2019-03-12 11:31:30	ga_ls7e_ard_3-1-0_113074_2019-03-12_final
2019-03-19 11:40:14	ga_ls7e_ard_3-1-0_114081_2019-03-19_final
2019-03-23 11:12:35	ga_ls7e_ard_3-1-0_110074_2019-03-23_final
2019-08-30 11:10:29	ga_ls7e_ard_3-1-0_110084_2019-08-30_final
2019-09-03 10:42:00	ga_ls7e_ard_3-1-0_106075_2019-09-03_final
2019-09-30 10:19:29	ga_ls7e_ard_3-1-0_103068_2019-09-30_final
2019-10-05 10:37:49	ga_ls7e_ard_3-1-0_106068_2019-10-05_final
2019-10-05 10:38:37	ga_ls7e_ard_3-1-0_106070_2019-10-05_final
2019-10-06 11:23:26	ga_ls7e_ard_3-1-0_113074_2019-10-06_final
2019-10-07 10:27:22	ga_ls7e_ard_3-1-0_104073_2019-10-07_final
2019-10-20 09:58:19	ga_ls7e_ard_3-1-0_099079_2019-10-20_final
2019-11-01 10:22:55	ga_ls7e_ard_3-1-0_103080_2019-11-01_final
2019-11-03 10:11:40	ga_ls7e_ard_3-1-0_101083_2019-11-03_final
2019-11-05 09:58:01	ga_ls7e_ard_3-1-0_099080_2019-11-05_final
2019-11-06 09:05:32	ga_ls7e_ard_3-1-0_090088_2019-11-05_final
2019-11-06 10:37:38	ga_ls7e_ard_3-1-0_106071_2019-11-06_final
2019-11-29 10:42:20	ga_ls7e_ard_3-1-0_107070_2019-11-29_final
2019-12-15 10:41:57	ga_ls7e_ard_3-1-0_107071_2019-12-15_final
2019-12-23 11:34:10	ga_ls7e_ard_3-1-0_115079_2019-12-23_final
2019-12-24 09:02:01	ga_ls7e_ard_3-1-0_090085_2019-12-23_final
2019-12-24 10:35:18	ga_ls7e_ard_3-1-0_106071_2019-12-24_final
2019-12-24 10:36:30	ga_ls7e_ard_3-1-0_106074_2019-12-24_final
2019-12-26 10:25:38	ga_ls7e_ard_3-1-0_104078_2019-12-26_final
2020-01-08 09:54:51	ga_ls7e_ard_3-1-0_099080_2020-01-08_final
2020-01-09 10:34:04	ga_ls7e_ard_3-1-0_106070_2020-01-09_final
2020-01-22 10:04:32	ga_ls7e_ard_3-1-0_101075_2020-01-22_final
2020-01-22 10:05:20	ga_ls7e_ard_3-1-0_101077_2020-01-22_final
2020-01-28 11:06:02	ga_ls7e_ard_3-1-0_111075_2020-01-28_final
2020-02-06 10:59:00	ga_ls7e_ard_3-1-0_110074_2020-02-06_final
2020-02-09 09:52:51	ga_ls7e_ard_3-1-0_099079_2020-02-09_final
2020-02-09 11:31:20	ga_ls7e_ard_3-1-0_115078_2020-02-09_final
2020-02-10 10:34:04	ga_ls7e_ard_3-1-0_106074_2020-02-10_final
2020-02-23 10:06:05	ga_ls7e_ard_3-1-0_101083_2020-02-23_final
2020-02-25 09:53:37	ga_ls7e_ard_3-1-0_099083_2020-02-25_final
2020-03-20 10:36:58	ga_ls7e_ard_3-1-0_107071_2020-03-20_final
2020-03-26 10:01:57	ga_ls7e_ard_3-1-0_101077_2020-03-26_final
2020-03-30 09:34:12	ga_ls7e_ard_3-1-0_097070_2020-03-30_final
2020-04-04 09:52:52	ga_ls7e_ard_3-1-0_100071_2020-04-04_final
2020-04-05 10:40:51	ga_ls7e_ard_3-1-0_107083_2020-04-05_final
2020-04-06 09:39:35	ga_ls7e_ard_3-1-0_098069_2020-04-06_final
2020-04-07 08:47:30	ga_ls7e_ard_3-1-0_089078_2020-04-06_final
2020-04-22 11:22:20	ga_ls7e_ard_3-1-0_114081_2020-04-22_final
2020-04-26 10:53:47	ga_ls7e_ard_3-1-0_110072_2020-04-26_final
2022-03-26 08:04:01	ga_ls7e_ard_3-2-1_091080_2022-03-25_final
2022-03-27 08:46:23	ga_ls7e_ard_3-2-1_098078_2022-03-26_final
2022-03-27 10:26:04	ga_ls7e_ard_3-2-1_114080_2022-03-27_final
2022-03-30 09:14:36	ga_ls7e_ard_3-2-1_103072_2022-03-29_final
2022-04-03 10:29:58	ga_ls7e_ard_3-2-1_115076_2022-04-03_final
2022-04-04 09:31:03	ga_ls7e_ard_3-2-1_106068_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