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
1999-07-09 11:45:11	ga_ls7e_ard_3-0-0_115078_1999-07-09_final
1999-07-27 11:31:18	ga_ls7e_ard_3-0-0_113074_1999-07-27_final
1999-12-11 11:28:48	ga_ls7e_ard_3-0-0_112083_1999-12-11_final
2001-04-02 11:37:31	ga_ls7e_ard_3-0-0_114081_2001-04-02_final
2001-09-16 11:40:54	ga_ls7e_ard_3-0-0_115078_2001-09-16_final
2003-11-18 11:30:27	ga_ls7e_ard_3-0-0_114067_2003-11-18_final
2004-02-13 11:40:19	ga_ls7e_ard_3-0-0_115075_2004-02-13_final
2004-07-06 11:39:49	ga_ls7e_ard_3-0-0_115074_2004-07-06_final
2004-11-29 11:29:56	ga_ls7e_ard_3-0-0_113080_2004-11-29_final
2005-03-05 11:28:08	ga_ls7e_ard_3-0-0_113074_2005-03-05_final
2005-09-11 11:40:18	ga_ls7e_ard_3-0-0_115075_2005-09-11_final
2005-10-17 11:18:26	ga_ls7e_ard_3-1-0_111082_2005-10-17_final
2006-04-23 11:41:37	ga_ls7e_ard_3-0-0_115076_2006-04-23_final
2006-05-25 11:40:52	ga_ls7e_ard_3-0-0_115074_2006-05-25_final
2006-05-25 11:42:04	ga_ls7e_ard_3-1-0_115077_2006-05-25_final
2006-09-18 11:18:48	ga_ls7e_ard_3-1-0_111082_2006-09-18_final
2007-03-18 11:35:33	ga_ls7e_ard_3-0-0_114075_2007-03-18_final
2007-06-24 11:22:31	ga_ls7e_ard_3-0-0_112074_2007-06-24_final
2007-11-13 11:37:07	ga_ls7e_ard_3-0-0_114080_2007-11-13_final
2008-05-07 11:36:16	ga_ls7e_ard_3-0-0_114078_2008-05-07_final
2008-10-14 11:30:29	ga_ls7e_ard_3-0-0_114067_2008-10-14_final
2009-03-25 11:25:41	ga_ls7e_ard_3-0-0_112082_2009-03-25_final
2009-08-09 11:16:16	ga_ls7e_ard_3-0-0_111074_2009-08-09_final
2009-10-17 11:34:48	ga_ls7e_ard_3-0-0_114074_2009-10-17_final
2009-10-26 11:32:21	ga_ls7e_ard_3-0-0_113083_2009-10-26_final
2010-11-14 11:31:09	ga_ls7e_ard_3-0-0_113074_2010-11-14_final
2010-12-14 11:44:13	ga_ls7e_ard_3-0-0_115075_2010-12-14_final
2011-08-04 11:40:04	ga_ls7e_ard_3-0-0_114079_2011-08-04_final
2012-07-12 11:45:33	ga_ls7e_ard_3-0-0_115074_2012-07-12_final
2013-04-21 11:31:47	ga_ls7e_ard_3-0-0_112083_2013-04-21_final
2013-10-12 11:43:00	ga_ls7e_ard_3-0-0_114080_2013-10-12_final
2014-05-03 11:26:06	ga_ls7e_ard_3-0-0_111081_2014-05-03_final
2014-07-13 11:29:47	ga_ls7e_ard_3-0-0_112074_2014-07-13_final
2014-08-19 11:50:02	ga_ls7e_ard_3-0-0_115078_2014-08-19_final
2014-12-04 11:33:51	ga_ls7e_ard_3-0-0_112082_2014-12-04_final
2015-01-30 11:23:57	ga_ls7e_ard_3-0-0_111072_2015-01-30_final
2015-02-13 11:37:05	ga_ls7e_ard_3-0-0_113074_2015-02-13_final
2015-06-19 11:51:37	ga_ls7e_ard_3-1-0_115077_2015-06-19_final
2015-06-19 11:52:25	ga_ls7e_ard_3-0-0_115079_2015-06-19_final
2015-08-10 11:28:42	ga_ls7e_ard_3-0-0_111081_2015-08-10_final
2015-10-25 11:51:10	ga_ls7e_ard_3-0-0_115074_2015-10-25_final
2017-01-01 11:40:44	ga_ls7e_ard_3-0-0_113074_2017-01-01_final
2017-01-31 11:54:48	ga_ls7e_ard_3-0-0_115079_2017-01-31_final
2017-08-15 11:31:29	ga_ls7e_ard_3-0-0_111081_2017-08-15_final
2018-01-22 11:27:57	ga_ls7e_ard_3-0-0_111074_2018-01-22_final
2018-10-12 11:29:32	ga_ls7e_ard_3-0-0_112074_2018-10-12_final
2019-01-05 11:47:07	ga_ls7e_ard_3-1-0_115077_2019-01-05_final
2019-06-16 11:25:14	ga_ls7e_ard_3-0-0_113067_2019-06-16_final
2019-08-03 11:28:57	ga_ls7e_ard_3-0-0_113081_2019-08-03_final
2019-09-22 11:15:15	ga_ls7e_ard_3-1-0_111083_2019-09-22_final
2019-11-21 11:35:45	ga_ls7e_ard_3-1-0_115079_2019-11-21_final
2020-01-10 11:18:53	ga_ls7e_ard_3-1-0_113074_2020-01-10_final
2020-01-26 11:21:41	ga_ls7e_ard_3-1-0_113083_2020-01-26_final
2020-02-09 11:30:08	ga_ls7e_ard_3-1-0_115075_2020-02-09_final
2020-04-01 11:02:12	ga_ls7e_ard_3-1-0_111074_2020-04-01_final
2020-05-17 11:11:50	ga_ls7e_ard_3-1-0_113074_2020-05-17_final
2020-06-11 11:08:10	ga_ls7e_ard_3-1-0_112084_2020-06-11_final
2020-06-18 11:07:09	ga_ls7e_ard_3-1-0_113067_2020-06-18_final
2020-11-07 11:14:51	ga_ls7e_ard_3-1-0_115078_2020-11-07_final
2020-12-14 09:49:51	ga_ls7e_ard_3-1-0_102073_2020-12-14_final
2020-12-18 09:26:49	ga_ls7e_ard_3-1-0_098078_2020-12-17_final
2021-01-07 10:38:46	ga_ls7e_ard_3-1-0_110076_2021-01-07_final
2021-01-09 10:23:53	ga_ls7e_ard_3-1-0_108070_2021-01-09_final
2021-01-24 09:40:21	ga_ls7e_ard_3-2-0_101072_2021-01-24_final
2021-02-03 08:40:13	ga_ls7e_ard_3-2-0_091078_2021-02-02_final
2021-02-21 10:04:11	ga_ls7e_ard_3-2-0_105075_2021-02-21_final
2021-02-22 09:06:53	ga_ls7e_ard_3-2-0_096071_2021-02-21_final
2021-03-05 10:27:11	ga_ls7e_ard_3-2-0_109073_2021-03-05_final
2021-03-15 11:05:52	ga_ls7e_ard_3-2-0_115079_2021-03-15_final
2021-03-16 10:08:58	ga_ls7e_ard_3-2-0_106076_2021-03-16_final
2021-03-28 08:52:39	ga_ls7e_ard_3-2-0_094073_2021-03-27_final
2021-04-05 09:45:01	ga_ls7e_ard_3-2-0_102082_2021-04-05_final
2021-04-11 10:43:08	ga_ls7e_ard_3-2-0_112074_2021-04-11_final
2021-04-24 08:37:26	ga_ls7e_ard_3-2-0_091087_2021-04-23_final
2021-04-27 10:44:34	ga_ls7e_ard_3-2-0_112081_2021-04-27_final
2021-05-01 10:16:43	ga_ls7e_ard_3-2-0_108074_2021-05-01_final
2021-05-06 10:32:03	ga_ls7e_ard_3-2-0_111067_2021-05-06_final
2021-05-31 10:25:44	ga_ls7e_ard_3-2-0_110072_2021-05-31_final
2021-06-05 09:09:46	ga_ls7e_ard_3-2-0_097084_2021-06-04_final
2021-06-19 09:14:37	ga_ls7e_ard_3-2-0_099068_2021-06-18_final
2021-07-02 08:42:14	ga_ls7e_ard_3-2-0_094067_2021-07-01_final
2021-07-14 10:49:36	ga_ls7e_ard_3-2-0_114079_2021-07-14_final
2021-07-24 09:48:08	ga_ls7e_ard_3-2-0_104082_2021-07-24_final
2021-08-03 10:20:45	ga_ls7e_ard_3-2-0_110073_2021-08-03_final
2021-08-14 08:25:09	ga_ls7e_ard_3-2-0_091080_2021-08-13_final
2021-08-21 10:06:00	ga_ls7e_ard_3-2-0_108071_2021-08-21_final
2021-09-12 09:27:48	ga_ls7e_ard_3-2-0_102073_2021-09-11_final
2021-09-15 08:25:57	ga_ls7e_ard_3-2-0_091089_2021-09-14_final
2021-09-22 08:31:06	ga_ls7e_ard_3-2-0_092088_2021-09-21_final
2021-09-23 09:06:17	ga_ls7e_ard_3-2-0_099068_2021-09-22_final
2021-10-01 08:21:43	ga_ls7e_ard_3-2-0_091082_2021-09-30_final
2021-11-10 09:03:31	ga_ls7e_ard_3-2-0_099072_2021-11-09_final
2021-11-14 10:18:06	ga_ls7e_ard_3-2-1_111074_2021-11-14_final
2021-12-04 08:18:10	ga_ls7e_ard_3-2-1_091088_2021-12-03_final
2021-12-27 09:59:01	ga_ls7e_ard_3-2-1_108083_2021-12-27_final
2021-12-28 10:39:46	ga_ls7e_ard_3-2-1_115077_2021-12-28_final
2021-12-30 10:26:25	ga_ls7e_ard_3-2-1_113075_2021-12-30_final
2022-01-24 10:21:01	ga_ls7e_ard_3-2-1_112083_2022-01-24_final
2022-02-22 09:47:37	ga_ls7e_ard_3-2-1_107084_2022-02-22_final
2022-03-10 08:08:23	ga_ls7e_ard_3-2-1_091087_2022-03-09_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