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 09:44:04	ga_ls7e_ard_3-0-0_095084_1999-11-02_final
2000-01-17 11:43:36	ga_ls7e_ard_3-0-0_115074_2000-01-17_final
2000-02-06 09:44:45	ga_ls7e_ard_3-0-0_095086_2000-02-06_final
2000-02-18 11:44:17	ga_ls7e_ard_3-0-0_115076_2000-02-18_final
2000-10-31 11:41:10	ga_ls7e_ard_3-0-0_115074_2000-10-31_final
2000-12-22 09:40:26	ga_ls7e_ard_3-0-0_095081_2000-12-22_final
2002-04-28 11:39:38	ga_ls7e_ard_3-0-0_115074_2002-04-28_final
2002-09-28 11:33:34	ga_ls7e_ard_3-0-0_114077_2002-09-28_final
2003-01-25 11:41:18	ga_ls7e_ard_3-0-0_115079_2003-01-25_final
2003-03-02 09:38:18	ga_ls7e_ard_3-0-0_095080_2003-03-02_final
2004-07-31 11:35:28	ga_ls7e_ard_3-0-0_114079_2004-07-31_final
2004-08-11 09:39:36	ga_ls7e_ard_3-0-0_095083_2004-08-11_final
2005-04-08 09:40:49	ga_ls7e_ard_3-0-0_095084_2005-04-08_final
2005-07-18 11:36:27	ga_ls7e_ard_3-0-0_114080_2005-07-18_final
2005-07-29 09:40:36	ga_ls7e_ard_3-0-0_095084_2005-07-29_final
2006-05-29 09:37:39	ga_ls7e_ard_3-0-0_095075_2006-05-29_final
2006-08-01 09:40:29	ga_ls7e_ard_3-0-0_095083_2006-08-01_final
2006-08-17 09:40:28	ga_ls7e_ard_3-0-0_095083_2006-08-17_final
2009-01-13 09:38:53	ga_ls7e_ard_3-1-0_095079_2009-01-13_final
2009-02-14 09:38:41	ga_ls7e_ard_3-0-0_095078_2009-02-14_final
2009-08-25 09:39:46	ga_ls7e_ard_3-0-0_095080_2009-08-25_final
2009-11-02 11:37:27	ga_ls7e_ard_3-0-0_114080_2009-11-02_final
2009-12-31 09:42:04	ga_ls7e_ard_3-0-0_095083_2009-12-31_final
2010-09-02 11:39:42	ga_ls7e_ard_3-0-0_114081_2010-09-02_final
2010-12-18 09:41:50	ga_ls7e_ard_3-0-0_095078_2010-12-18_final
2011-04-25 09:41:12	ga_ls7e_ard_3-0-0_095075_2011-04-25_final
2012-03-31 11:39:56	ga_ls7e_ard_3-0-0_114077_2012-03-31_final
2012-08-17 09:44:45	ga_ls7e_ard_3-0-0_095080_2012-08-17_final
2012-11-10 11:41:42	ga_ls7e_ard_3-0-0_114077_2012-11-10_final
2013-12-26 09:43:36	ga_ls7e_ard_3-0-0_095074_2013-12-26_final
2014-01-11 09:45:40	ga_ls7e_ard_3-1-0_095079_2014-01-11_final
2014-06-25 11:44:29	ga_ls7e_ard_3-0-0_114080_2014-06-25_final
2015-05-06 09:49:20	ga_ls7e_ard_3-0-0_095081_2015-05-06_final
2015-06-23 09:49:36	ga_ls7e_ard_3-0-0_095081_2015-06-23_final
2015-07-09 09:46:55	ga_ls7e_ard_3-0-0_095074_2015-07-09_final
2015-08-15 11:47:16	ga_ls7e_ard_3-0-0_114081_2015-08-15_final
2015-11-10 11:52:37	ga_ls7e_ard_3-1-0_115077_2015-11-10_final
2015-12-12 11:53:08	ga_ls7e_ard_3-1-0_115077_2015-12-12_final
2016-03-01 11:53:57	ga_ls7e_ard_3-1-0_115077_2016-03-01_final
2017-05-27 09:52:55	ga_ls7e_ard_3-0-0_095082_2017-05-27_final
2017-08-04 11:48:51	ga_ls7e_ard_3-0-0_114078_2017-08-04_final
2017-11-19 09:52:34	ga_ls7e_ard_3-0-0_095081_2017-11-19_final
2018-01-22 09:50:15	ga_ls7e_ard_3-0-0_095077_2018-01-22_final
2018-02-07 09:51:11	ga_ls7e_ard_3-0-0_095080_2018-02-07_final
2018-03-11 09:50:27	ga_ls7e_ard_3-1-0_095079_2018-03-11_final
2018-05-14 09:49:50	ga_ls7e_ard_3-0-0_095080_2018-05-14_final
2018-07-22 11:45:38	ga_ls7e_ard_3-0-0_114079_2018-07-22_final
2018-08-02 09:48:01	ga_ls7e_ard_3-1-0_095079_2018-08-02_final
2019-08-05 09:38:26	ga_ls7e_ard_3-0-0_095083_2019-08-05_final
2019-09-22 09:33:10	ga_ls7e_ard_3-1-0_095075_2019-09-22_final
2021-02-22 09:10:53	ga_ls7e_ard_3-2-0_096081_2021-02-21_final
2021-04-01 10:08:28	ga_ls7e_ard_3-2-0_106078_2021-04-01_final
2021-04-07 09:29:18	ga_ls7e_ard_3-2-0_100074_2021-04-06_final
2021-04-11 09:07:02	ga_ls7e_ard_3-2-0_096081_2021-04-10_final
2021-04-18 10:50:43	ga_ls7e_ard_3-2-0_113079_2021-04-18_final
2021-04-20 09:00:54	ga_ls7e_ard_3-2-0_095083_2021-04-19_final
2021-04-25 10:56:18	ga_ls7e_ard_3-2-0_114079_2021-04-25_final
2021-05-08 08:43:50	ga_ls7e_ard_3-2-0_093075_2021-05-07_final
2021-05-13 09:01:57	ga_ls7e_ard_3-2-0_096075_2021-05-12_final
2021-05-30 09:44:10	ga_ls7e_ard_3-2-0_103076_2021-05-30_final
2021-06-07 10:33:44	ga_ls7e_ard_3-2-0_111078_2021-06-07_final
2021-06-23 08:52:21	ga_ls7e_ard_3-2-0_095075_2021-06-22_final
2021-07-05 09:16:04	ga_ls7e_ard_3-2-0_099075_2021-07-04_final
2021-07-13 08:26:45	ga_ls7e_ard_3-2-0_091077_2021-07-12_final
2021-07-15 09:53:54	ga_ls7e_ard_3-2-0_105079_2021-07-15_final
2021-07-16 08:57:47	ga_ls7e_ard_3-2-0_096078_2021-07-15_final
2021-07-16 10:37:28	ga_ls7e_ard_3-2-0_112080_2021-07-16_final
2021-08-01 08:54:00	ga_ls7e_ard_3-2-0_096072_2021-07-31_final
2021-08-12 08:36:05	ga_ls7e_ard_3-2-0_093076_2021-08-11_final
2021-08-12 10:13:22	ga_ls7e_ard_3-2-0_109072_2021-08-12_final
2021-08-19 10:21:43	ga_ls7e_ard_3-2-0_110079_2021-08-19_final
2021-08-24 10:39:50	ga_ls7e_ard_3-2-0_113079_2021-08-24_final
2021-08-28 10:16:22	ga_ls7e_ard_3-2-0_109083_2021-08-28_final
2021-09-18 08:54:11	ga_ls7e_ard_3-2-0_096083_2021-09-17_final
2021-09-29 10:08:20	ga_ls7e_ard_3-2-0_109070_2021-09-29_final
2021-10-02 10:37:47	ga_ls7e_ard_3-2-0_114067_2021-10-02_final
2021-10-04 08:48:22	ga_ls7e_ard_3-2-0_096072_2021-10-03_final
2021-10-04 08:50:46	ga_ls7e_ard_3-2-0_096078_2021-10-03_final
2021-10-20 10:28:37	ga_ls7e_ard_3-2-0_112079_2021-10-20_final
2021-10-26 08:13:19	ga_ls7e_ard_3-2-0_090082_2021-10-25_final
2021-11-02 09:55:19	ga_ls7e_ard_3-2-0_107076_2021-11-02_final
2021-11-04 09:44:22	ga_ls7e_ard_3-2-0_105080_2021-11-04_final
2021-11-05 08:49:51	ga_ls7e_ard_3-2-0_096083_2021-11-04_final
2021-11-05 10:26:20	ga_ls7e_ard_3-2-0_112077_2021-11-05_final
2021-11-21 08:47:54	ga_ls7e_ard_3-2-1_096082_2021-11-20_final
2021-11-22 09:28:40	ga_ls7e_ard_3-2-1_103076_2021-11-21_final
2021-11-26 09:02:22	ga_ls7e_ard_3-2-1_099073_2021-11-25_final
2021-11-27 09:47:08	ga_ls7e_ard_3-2-1_106077_2021-11-27_final
2021-11-29 09:34:59	ga_ls7e_ard_3-2-1_104078_2021-11-29_final
2021-12-04 08:14:11	ga_ls7e_ard_3-2-1_091078_2021-12-03_final
2021-12-21 08:54:37	ga_ls7e_ard_3-2-1_098075_2021-12-20_final
2021-12-21 10:35:29	ga_ls7e_ard_3-2-1_114080_2021-12-21_final
2022-01-05 08:11:02	ga_ls7e_ard_3-2-1_091078_2022-01-04_final
2022-01-14 09:42:30	ga_ls7e_ard_3-2-1_106077_2022-01-14_final
2022-01-27 09:11:09	ga_ls7e_ard_3-2-1_101079_2022-01-26_final
2022-02-04 08:20:31	ga_ls7e_ard_3-2-1_093078_2022-02-03_final
2022-03-08 09:56:37	ga_ls7e_ard_3-2-1_109079_2022-03-08_final
2022-03-20 08:42:04	ga_ls7e_ard_3-2-1_097081_2022-03-19_final
2022-03-29 08:33:26	ga_ls7e_ard_3-2-1_096077_2022-03-28_final
2022-03-30 09:15:00	ga_ls7e_ard_3-2-1_103073_2022-03-29_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