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
2000-05-08 11:43:46	ga_ls7e_ard_3-0-0_115076_2000-05-08_final
2000-09-22 11:36:41	ga_ls7e_ard_3-0-0_114078_2000-09-22_final
2002-02-23 11:41:18	ga_ls7e_ard_3-0-0_115078_2002-02-23_final
2002-07-17 11:39:33	ga_ls7e_ard_3-0-0_115075_2002-07-17_final
2003-10-01 11:33:12	ga_ls7e_ard_3-0-0_114075_2003-10-01_final
2003-12-04 11:33:42	ga_ls7e_ard_3-0-0_114075_2003-12-04_final
2004-09-08 11:40:41	ga_ls7e_ard_3-1-0_115077_2004-09-08_final
2005-05-06 11:41:37	ga_ls7e_ard_3-1-0_115077_2005-05-06_final
2005-08-19 11:34:20	ga_ls7e_ard_3-0-0_114075_2005-08-19_final
2006-03-06 11:40:54	ga_ls7e_ard_3-0-0_115074_2006-03-06_final
2006-07-05 11:36:54	ga_ls7e_ard_3-0-0_114080_2006-07-05_final
2007-04-03 11:37:33	ga_ls7e_ard_3-0-0_114080_2007-04-03_final
2007-05-12 11:41:12	ga_ls7e_ard_3-0-0_115074_2007-05-12_final
2008-09-28 11:35:48	ga_ls7e_ard_3-0-0_114080_2008-09-28_final
2008-10-05 11:39:31	ga_ls7e_ard_3-0-0_115074_2008-10-05_final
2009-06-18 11:41:14	ga_ls7e_ard_3-0-0_115074_2009-06-18_final
2010-11-05 11:38:48	ga_ls7e_ard_3-0-0_114078_2010-11-05_final
2010-12-30 11:44:22	ga_ls7e_ard_3-0-0_115075_2010-12-30_final
2011-02-09 11:38:27	ga_ls7e_ard_3-0-0_114075_2011-02-09_final
2011-05-23 11:45:35	ga_ls7e_ard_3-1-0_115077_2011-05-23_final
2011-09-28 11:46:02	ga_ls7e_ard_3-0-0_115079_2011-09-28_final
2011-11-24 11:40:18	ga_ls7e_ard_3-0-0_114079_2011-11-24_final
2012-01-18 11:45:37	ga_ls7e_ard_3-0-0_115076_2012-01-18_final
2012-03-15 11:39:08	ga_ls7e_ard_3-0-0_114075_2012-03-15_final
2012-07-28 11:45:43	ga_ls7e_ard_3-0-0_115074_2012-07-28_final
2012-10-09 11:41:52	ga_ls7e_ard_3-0-0_114078_2012-10-09_final
2013-04-10 11:46:50	ga_ls7e_ard_3-0-0_115074_2013-04-10_final
2013-10-12 11:42:12	ga_ls7e_ard_3-0-0_114078_2013-10-12_final
2014-02-17 11:43:45	ga_ls7e_ard_3-0-0_114080_2014-02-17_final
2015-01-03 11:43:33	ga_ls7e_ard_3-0-0_114075_2015-01-03_final
2016-10-11 11:53:34	ga_ls7e_ard_3-0-0_115074_2016-10-11_final
2017-06-08 11:53:48	ga_ls7e_ard_3-0-0_115075_2017-06-08_final
2017-09-21 11:49:12	ga_ls7e_ard_3-0-0_114079_2017-09-21_final
2018-03-16 11:48:13	ga_ls7e_ard_3-0-0_114080_2018-03-16_final
2018-04-08 11:51:40	ga_ls7e_ard_3-0-0_115074_2018-04-08_final
2018-04-24 11:52:12	ga_ls7e_ard_3-0-0_115076_2018-04-24_final
2018-06-11 11:50:59	ga_ls7e_ard_3-0-0_115075_2018-06-11_final
2018-07-13 11:49:58	ga_ls7e_ard_3-0-0_115074_2018-07-13_final
2019-01-14 11:41:51	ga_ls7e_ard_3-0-0_114080_2019-01-14_final
2019-02-22 11:45:13	ga_ls7e_ard_3-1-0_115076_2019-02-22_final
2019-05-06 11:37:19	ga_ls7e_ard_3-0-0_114078_2019-05-06_final
2019-10-20 11:35:12	ga_ls7e_ard_3-1-0_115074_2019-10-20_final
2019-11-14 11:29:06	ga_ls7e_ard_3-1-0_114077_2019-11-14_final
2020-01-24 11:30:57	ga_ls7e_ard_3-1-0_115075_2020-01-24_final
2020-08-12 11:14:21	ga_ls7e_ard_3-1-0_114078_2020-08-12_final
2020-11-24 10:15:39	ga_ls7e_ard_3-1-0_106072_2020-11-24_final
2020-11-30 09:39:44	ga_ls7e_ard_3-1-0_100076_2020-11-30_final
2020-12-25 09:33:17	ga_ls7e_ard_3-1-0_099080_2020-12-25_final
2020-12-29 09:07:54	ga_ls7e_ard_3-1-0_095079_2020-12-28_final
2020-12-30 09:50:17	ga_ls7e_ard_3-1-0_102077_2020-12-30_final
2021-02-12 10:10:15	ga_ls7e_ard_3-2-0_106073_2021-02-12_final
2021-02-17 10:32:00	ga_ls7e_ard_3-2-0_109082_2021-02-17_final
2021-02-20 11:00:41	ga_ls7e_ard_3-2-0_114077_2021-02-20_final
2021-02-23 09:50:52	ga_ls7e_ard_3-2-0_103073_2021-02-23_final
2021-02-24 10:35:39	ga_ls7e_ard_3-2-0_110077_2021-02-24_final
2021-02-28 10:08:38	ga_ls7e_ard_3-2-0_106072_2021-02-28_final
2021-03-01 10:56:12	ga_ls7e_ard_3-2-0_113083_2021-03-01_final
2021-03-15 09:27:23	ga_ls7e_ard_3-2-0_099080_2021-03-14_final
2021-03-16 10:07:46	ga_ls7e_ard_3-2-0_106073_2021-03-16_final
2021-03-28 08:53:03	ga_ls7e_ard_3-2-0_094074_2021-03-27_final
2021-03-28 10:34:43	ga_ls7e_ard_3-2-0_110081_2021-03-28_final
2021-04-06 08:50:07	ga_ls7e_ard_3-2-0_093084_2021-04-05_final
2021-04-18 09:11:50	ga_ls7e_ard_3-2-0_097079_2021-04-17_final
2021-04-18 10:51:07	ga_ls7e_ard_3-2-0_113080_2021-04-18_final
2021-05-06 09:00:21	ga_ls7e_ard_3-2-0_095085_2021-05-05_final
2021-05-06 10:32:27	ga_ls7e_ard_3-2-0_111068_2021-05-06_final
2021-05-22 10:36:17	ga_ls7e_ard_3-2-0_111081_2021-05-22_final
2021-05-29 09:00:35	ga_ls7e_ard_3-2-0_096075_2021-05-28_final
2021-06-01 09:30:50	ga_ls7e_ard_3-2-0_101074_2021-06-01_final
2021-06-12 09:14:12	ga_ls7e_ard_3-2-0_098081_2021-06-11_final
2021-06-12 10:51:52	ga_ls7e_ard_3-2-0_114078_2021-06-12_final
2021-06-12 10:52:16	ga_ls7e_ard_3-2-0_114079_2021-06-12_final
2021-07-09 10:28:18	ga_ls7e_ard_3-2-0_111071_2021-07-09_final
2021-07-10 09:33:47	ga_ls7e_ard_3-2-0_102074_2021-07-10_final
2021-07-15 08:17:01	ga_ls7e_ard_3-2-0_089084_2021-07-14_final
2021-07-17 09:41:22	ga_ls7e_ard_3-2-0_103079_2021-07-17_final
2021-07-23 09:01:46	ga_ls7e_ard_3-2-0_097074_2021-07-22_final
2021-08-16 09:50:17	ga_ls7e_ard_3-2-0_105077_2021-08-16_final
2021-08-22 09:12:17	ga_ls7e_ard_3-2-0_099076_2021-08-21_final
2021-09-02 08:56:00	ga_ls7e_ard_3-2-0_096084_2021-09-01_final
2021-10-18 10:39:10	ga_ls7e_ard_3-2-0_114074_2021-10-18_final
2021-10-28 09:34:51	ga_ls7e_ard_3-2-0_104070_2021-10-28_final
2021-10-31 08:28:12	ga_ls7e_ard_3-2-0_093074_2021-10-30_final
2021-11-03 08:58:49	ga_ls7e_ard_3-2-0_098074_2021-11-02_final
2021-11-05 08:48:16	ga_ls7e_ard_3-2-0_096079_2021-11-04_final
2021-11-11 08:13:00	ga_ls7e_ard_3-2-0_090085_2021-11-10_final
2021-11-20 09:41:37	ga_ls7e_ard_3-2-1_105077_2021-11-20_final
2021-11-30 10:16:57	ga_ls7e_ard_3-2-1_111075_2021-11-30_final
2021-12-01 09:20:51	ga_ls7e_ard_3-2-1_102074_2021-11-30_final
2021-12-13 08:09:33	ga_ls7e_ard_3-2-1_090084_2021-12-12_final
2021-12-23 10:24:08	ga_ls7e_ard_3-2-1_112083_2021-12-23_final
2021-12-27 08:19:20	ga_ls7e_ard_3-2-1_092081_2021-12-26_final
2021-12-27 08:22:32	ga_ls7e_ard_3-2-1_092089_2021-12-26_final
2022-01-03 08:24:24	ga_ls7e_ard_3-2-1_093080_2022-01-02_final
2022-01-26 08:31:11	ga_ls7e_ard_3-2-1_094087_2022-01-25_final
2022-02-10 09:19:18	ga_ls7e_ard_3-2-1_103072_2022-02-09_final
2022-02-26 09:17:43	ga_ls7e_ard_3-2-1_103072_2022-02-25_final
2022-03-03 09:37:47	ga_ls7e_ard_3-2-1_106077_2022-03-03_final
2022-03-08 09:57:25	ga_ls7e_ard_3-2-1_109081_2022-03-08_final
2022-03-24 08:18:58	ga_ls7e_ard_3-2-1_093086_2022-03-23_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years