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
1999-11-02 09:37:17	ga_ls7e_ard_3-0-0_095067_1999-11-02_final
1999-11-02 09:39:41	ga_ls7e_ard_3-1-0_095073_1999-11-02_final
2000-01-05 09:39:38	ga_ls7e_ard_3-1-0_095073_2000-01-05_final
2001-03-08 11:43:08	ga_ls7e_ard_3-0-0_115079_2001-03-08_final
2003-01-02 11:35:45	ga_ls7e_ard_3-0-0_114081_2003-01-02_final
2003-01-18 11:35:53	ga_ls7e_ard_3-0-0_114081_2003-01-18_final
2003-01-29 09:35:18	ga_ls7e_ard_3-1-0_095073_2003-01-29_final
2003-10-10 11:29:41	ga_ls7e_ard_3-0-0_113082_2003-10-10_final
2004-09-28 11:18:40	ga_ls7e_ard_3-0-0_111084_2004-09-28_final
2004-10-26 11:41:11	ga_ls7e_ard_3-0-0_115078_2004-10-26_final
2004-12-24 11:21:33	ga_ls7e_ard_3-0-0_112074_2004-12-24_final
2005-01-09 11:22:03	ga_ls7e_ard_3-0-0_112075_2005-01-09_final
2005-03-14 11:23:34	ga_ls7e_ard_3-0-0_112078_2005-03-14_final
2005-07-02 11:36:25	ga_ls7e_ard_3-0-0_114080_2005-07-02_final
2005-10-17 11:18:26	ga_ls7e_ard_3-1-0_111082_2005-10-17_final
2005-10-31 11:27:47	ga_ls7e_ard_3-0-0_113074_2005-10-31_final
2006-01-17 11:41:06	ga_ls7e_ard_3-0-0_115075_2006-01-17_final
2007-05-16 09:34:46	ga_ls7e_ard_3-0-0_095067_2007-05-16_final
2007-07-15 11:41:00	ga_ls7e_ard_3-0-0_115074_2007-07-15_final
2007-10-05 11:31:41	ga_ls7e_ard_3-0-0_113083_2007-10-05_final
2009-01-02 11:36:38	ga_ls7e_ard_3-0-0_114080_2009-01-02_final
2009-03-02 09:36:51	ga_ls7e_ard_3-1-0_095073_2009-03-02_final
2009-08-23 11:25:50	ga_ls7e_ard_3-0-0_113067_2009-08-23_final
2009-08-24 08:56:54	ga_ls7e_ard_3-0-0_088081_2009-08-23_final
2010-07-02 11:24:28	ga_ls7e_ard_3-0-0_112074_2010-07-02_final
2010-07-11 09:44:12	ga_ls7e_ard_3-0-0_095086_2010-07-11_final
2011-12-01 11:46:32	ga_ls7e_ard_3-0-0_115079_2011-12-01_final
2012-01-02 11:45:37	ga_ls7e_ard_3-0-0_115076_2012-01-02_final
2012-01-20 11:36:03	ga_ls7e_ard_3-0-0_113083_2012-01-20_final
2012-11-05 09:40:15	ga_ls7e_ard_3-0-0_095067_2012-11-05_final
2012-11-21 09:42:23	ga_ls7e_ard_3-0-0_095072_2012-11-21_final
2012-12-03 11:48:46	ga_ls7e_ard_3-0-0_115079_2012-12-03_final
2012-12-07 09:40:24	ga_ls7e_ard_3-0-0_095067_2012-12-07_final
2013-07-19 09:44:33	ga_ls7e_ard_3-1-0_095079_2013-07-19_final
2013-10-12 11:43:00	ga_ls7e_ard_3-0-0_114080_2013-10-12_final
2013-11-08 09:46:33	ga_ls7e_ard_3-0-0_095082_2013-11-08_final
2013-11-22 11:38:15	ga_ls7e_ard_3-0-0_113083_2013-11-22_final
2013-12-22 11:48:46	ga_ls7e_ard_3-0-0_115078_2013-12-22_final
2014-10-06 11:50:19	ga_ls7e_ard_3-0-0_115078_2014-10-06_final
2014-11-27 09:44:43	ga_ls7e_ard_3-0-0_095072_2014-11-27_final
2015-01-30 09:51:03	ga_ls7e_ard_3-0-0_095087_2015-01-30_final
2015-04-18 11:34:53	ga_ls7e_ard_3-0-0_113067_2015-04-18_final
2015-12-12 11:53:32	ga_ls7e_ard_3-0-0_115078_2015-12-12_final
2015-12-14 11:39:36	ga_ls7e_ard_3-0-0_113074_2015-12-14_final
2016-02-18 09:53:52	ga_ls7e_ard_3-0-0_095086_2016-02-18_final
2016-07-27 11:28:41	ga_ls7e_ard_3-0-0_111074_2016-07-27_final
2016-10-15 09:47:09	ga_ls7e_ard_3-0-0_095067_2016-10-15_final
2016-11-28 11:53:43	ga_ls7e_ard_3-0-0_115075_2016-11-28_final
2016-12-14 11:55:15	ga_ls7e_ard_3-0-0_115079_2016-12-14_final
2017-01-03 09:48:41	ga_ls7e_ard_3-0-0_095072_2017-01-03_final
2017-05-27 09:49:20	ga_ls7e_ard_3-1-0_095073_2017-05-27_final
2017-10-02 09:54:11	ga_ls7e_ard_3-0-0_095085_2017-10-02_final
2017-11-15 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-11-15_final
2017-12-28 11:34:53	ga_ls7e_ard_3-0-0_112075_2017-12-28_final
2018-01-02 11:53:21	ga_ls7e_ard_3-0-0_115075_2018-01-02_final
2018-11-06 09:47:07	ga_ls7e_ard_3-0-0_095082_2018-11-06_final
2019-01-21 11:47:24	ga_ls7e_ard_3-0-0_115079_2019-01-21_final
2019-02-26 11:19:11	ga_ls7e_ard_3-1-0_111073_2019-02-26_final
2019-03-28 11:30:58	ga_ls7e_ard_3-1-0_113074_2019-03-28_final
2019-05-17 11:16:21	ga_ls7e_ard_3-0-0_111073_2019-05-17_final
2019-05-17 11:18:45	ga_ls7e_ard_3-0-0_111079_2019-05-17_final
2019-06-18 09:33:55	ga_ls7e_ard_3-0-0_095067_2019-06-18_final
2019-08-17 11:39:32	ga_ls7e_ard_3-0-0_115078_2019-08-17_final
2019-08-28 11:18:56	ga_ls7e_ard_3-1-0_112074_2019-08-28_final
2019-10-04 11:37:28	ga_ls7e_ard_3-1-0_115078_2019-10-04_final
2019-12-02 11:14:41	ga_ls7e_ard_3-1-0_112074_2019-12-02_final
2020-02-02 11:21:08	ga_ls7e_ard_3-1-0_114067_2020-02-02_final
2021-01-30 09:03:38	ga_ls7e_ard_3-2-0_095074_2021-01-29_final
2021-02-28 10:09:49	ga_ls7e_ard_3-2-0_106075_2021-02-28_final
2021-03-19 10:36:02	ga_ls7e_ard_3-2-0_111067_2021-03-19_final
2021-03-23 10:12:59	ga_ls7e_ard_3-2-0_107072_2021-03-23_final
2021-03-29 09:35:01	ga_ls7e_ard_3-2-0_101071_2021-03-29_final
2021-04-09 10:58:27	ga_ls7e_ard_3-2-0_114081_2021-04-09_final
2021-04-27 09:02:06	ga_ls7e_ard_3-2-0_096072_2021-04-26_final
2021-04-27 09:07:41	ga_ls7e_ard_3-2-0_096086_2021-04-26_final
2021-05-19 08:28:22	ga_ls7e_ard_3-2-0_090085_2021-05-18_final
2021-05-27 09:10:44	ga_ls7e_ard_3-2-0_098069_2021-05-26_final
2021-05-27 10:52:48	ga_ls7e_ard_3-2-0_114077_2021-05-27_final
2021-06-14 10:40:57	ga_ls7e_ard_3-2-0_112082_2021-06-14_final
2021-06-30 10:39:37	ga_ls7e_ard_3-2-0_112082_2021-06-30_final
2021-07-13 10:06:50	ga_ls7e_ard_3-2-0_107080_2021-07-13_final
2021-07-27 08:41:54	ga_ls7e_ard_3-2-0_093087_2021-07-26_final
2021-08-01 08:57:36	ga_ls7e_ard_3-2-0_096081_2021-07-31_final
2021-08-04 09:27:02	ga_ls7e_ard_3-2-0_101078_2021-08-03_final
2021-08-06 09:16:06	ga_ls7e_ard_3-2-0_099082_2021-08-05_final
2021-09-03 09:34:23	ga_ls7e_ard_3-2-0_103072_2021-09-03_final
2021-09-22 08:31:06	ga_ls7e_ard_3-2-0_092088_2021-09-21_final
2021-10-01 10:00:36	ga_ls7e_ard_3-2-0_107082_2021-10-01_final
2021-10-24 08:28:39	ga_ls7e_ard_3-2-0_092089_2021-10-23_final
2021-11-15 09:21:59	ga_ls7e_ard_3-2-1_102073_2021-11-14_final
2021-12-01 09:19:15	ga_ls7e_ard_3-2-1_102070_2021-11-30_final
2021-12-05 09:00:08	ga_ls7e_ard_3-2-1_098085_2021-12-04_final
2021-12-07 08:47:36	ga_ls7e_ard_3-2-1_096085_2021-12-06_final
2021-12-12 09:03:16	ga_ls7e_ard_3-2-1_099079_2021-12-11_final
2022-01-08 10:18:57	ga_ls7e_ard_3-2-1_112074_2022-01-08_final
2022-02-07 08:49:07	ga_ls7e_ard_3-2-1_098073_2022-02-06_final
2022-02-15 08:03:37	ga_ls7e_ard_3-2-1_090085_2022-02-14_final
2022-02-15 08:04:49	ga_ls7e_ard_3-2-1_090088_2022-02-14_final
2022-02-16 08:40:48	ga_ls7e_ard_3-2-1_097070_2022-02-15_final
2022-03-03 09:40:10	ga_ls7e_ard_3-2-1_106083_2022-03-03_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