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
1999-11-05 11:51:28	ga_ls7e_ard_3-0-0_116078_1999-11-05_final
1999-12-09 11:40:20	ga_ls7e_ard_3-0-0_114081_1999-12-09_final
1999-12-25 11:39:04	ga_ls7e_ard_3-0-0_114078_1999-12-25_final
2000-08-28 11:43:44	ga_ls7e_ard_3-0-0_115079_2000-08-28_final
2001-01-12 11:36:18	ga_ls7e_ard_3-0-0_114077_2001-01-12_final
2001-04-02 11:34:44	ga_ls7e_ard_3-0-0_114074_2001-04-02_final
2001-09-09 11:30:25	ga_ls7e_ard_3-0-0_114067_2001-09-09_final
2002-01-31 11:35:49	ga_ls7e_ard_3-0-0_114080_2002-01-31_final
2002-03-11 11:41:43	ga_ls7e_ard_3-0-0_115079_2002-03-11_final
2002-03-20 11:35:46	ga_ls7e_ard_3-0-0_114080_2002-03-20_final
2002-03-29 11:30:27	ga_ls7e_ard_3-0-0_113082_2002-03-29_final
2002-10-30 11:33:36	ga_ls7e_ard_3-0-0_114077_2002-10-30_final
2003-01-11 11:28:49	ga_ls7e_ard_3-0-0_113079_2003-01-11_final
2003-02-19 11:33:18	ga_ls7e_ard_3-0-0_114074_2003-02-19_final
2003-03-16 11:29:34	ga_ls7e_ard_3-0-0_113080_2003-03-16_final
2003-07-22 11:30:58	ga_ls7e_ard_3-0-0_113084_2003-07-22_final
2004-02-15 11:29:33	ga_ls7e_ard_3-0-0_113079_2004-02-15_final
2005-11-16 11:30:44	ga_ls7e_ard_3-0-0_113081_2005-11-16_final
2006-02-20 11:30:07	ga_ls7e_ard_3-0-0_113078_2006-02-20_final
2006-04-25 11:30:04	ga_ls7e_ard_3-0-0_113078_2006-04-25_final
2007-08-02 11:30:33	ga_ls7e_ard_3-0-0_113079_2007-08-02_final
2008-07-03 11:31:59	ga_ls7e_ard_3-0-0_113084_2008-07-03_final
2008-10-21 11:41:35	ga_ls7e_ard_3-0-0_115079_2008-10-21_final
2008-12-10 11:29:53	ga_ls7e_ard_3-0-0_113079_2008-12-10_final
2010-11-05 11:38:00	ga_ls7e_ard_3-0-0_114076_2010-11-05_final
2011-05-09 11:34:02	ga_ls7e_ard_3-0-0_113079_2011-05-09_final
2011-07-19 11:40:56	ga_ls7e_ard_3-0-0_114081_2011-07-19_final
2011-09-14 11:34:07	ga_ls7e_ard_3-0-0_113080_2011-09-14_final
2011-09-28 11:45:14	ga_ls7e_ard_3-0-0_115077_2011-09-28_final
2012-12-19 11:48:07	ga_ls7e_ard_3-1-0_115077_2012-12-19_final
2014-03-21 11:42:44	ga_ls7e_ard_3-0-0_114077_2014-03-21_final
2015-04-18 11:40:04	ga_ls7e_ard_3-0-0_113080_2015-04-18_final
2016-08-01 11:49:14	ga_ls7e_ard_3-0-0_114079_2016-08-01_final
2016-12-16 11:42:28	ga_ls7e_ard_3-0-0_113078_2016-12-16_final
2017-02-02 11:42:26	ga_ls7e_ard_3-0-0_113079_2017-02-02_final
2017-12-10 11:47:50	ga_ls7e_ard_3-0-0_114076_2017-12-10_final
2018-10-03 11:37:56	ga_ls7e_ard_3-0-0_113079_2018-10-03_final
2019-01-07 11:35:05	ga_ls7e_ard_3-0-0_113078_2019-01-07_final
2019-01-23 11:34:34	ga_ls7e_ard_3-0-0_113078_2019-01-23_final
2020-11-28 09:51:50	ga_ls7e_ard_3-1-0_102075_2020-11-28_final
2020-12-22 10:40:40	ga_ls7e_ard_3-1-0_110078_2020-12-22_final
2021-01-03 09:24:06	ga_ls7e_ard_3-1-0_098074_2021-01-02_final
2021-01-09 10:24:17	ga_ls7e_ard_3-1-0_108071_2021-01-09_final
2021-01-23 08:59:57	ga_ls7e_ard_3-2-0_094079_2021-01-22_final
2021-01-26 09:28:14	ga_ls7e_ard_3-2-0_099073_2021-01-25_final
2021-02-06 09:12:05	ga_ls7e_ard_3-2-0_096081_2021-02-05_final
2021-02-13 09:18:08	ga_ls7e_ard_3-2-0_097082_2021-02-12_final
2021-02-25 09:39:09	ga_ls7e_ard_3-2-0_101075_2021-02-25_final
2021-03-10 10:46:55	ga_ls7e_ard_3-2-0_112077_2021-03-10_final
2021-03-12 10:34:48	ga_ls7e_ard_3-2-0_110078_2021-03-12_final
2021-03-19 10:40:26	ga_ls7e_ard_3-2-0_111078_2021-03-19_final
2021-03-27 09:49:09	ga_ls7e_ard_3-2-0_103075_2021-03-27_final
2021-04-02 09:12:22	ga_ls7e_ard_3-2-0_097077_2021-04-01_final
2021-04-03 09:57:09	ga_ls7e_ard_3-2-0_104081_2021-04-03_final
2021-04-04 09:01:26	ga_ls7e_ard_3-2-0_095081_2021-04-03_final
2021-04-06 10:26:36	ga_ls7e_ard_3-2-0_109078_2021-04-06_final
2021-04-11 09:08:38	ga_ls7e_ard_3-2-0_096085_2021-04-10_final
2021-04-14 09:35:18	ga_ls7e_ard_3-2-0_101075_2021-04-14_final
2021-04-18 09:12:14	ga_ls7e_ard_3-2-0_097080_2021-04-17_final
2021-04-27 10:42:34	ga_ls7e_ard_3-2-0_112076_2021-04-27_final
2021-04-29 08:53:33	ga_ls7e_ard_3-2-0_094082_2021-04-28_final
2021-05-02 11:01:53	ga_ls7e_ard_3-2-0_115079_2021-05-02_final
2021-05-15 10:30:18	ga_ls7e_ard_3-2-0_110080_2021-05-15_final
2021-05-16 09:32:36	ga_ls7e_ard_3-2-0_101075_2021-05-16_final
2021-05-20 09:08:21	ga_ls7e_ard_3-2-0_097077_2021-05-19_final
2021-05-22 08:56:13	ga_ls7e_ard_3-2-0_095078_2021-05-21_final
2021-05-26 08:31:33	ga_ls7e_ard_3-2-0_091079_2021-05-25_final
2021-06-06 09:46:58	ga_ls7e_ard_3-2-0_104069_2021-06-06_final
2021-06-13 09:54:11	ga_ls7e_ard_3-2-0_105073_2021-06-13_final
2021-06-15 09:43:39	ga_ls7e_ard_3-2-0_103078_2021-06-15_final
2021-06-28 09:13:16	ga_ls7e_ard_3-2-0_098082_2021-06-27_final
2021-06-30 09:01:09	ga_ls7e_ard_3-2-0_096083_2021-06-29_final
2021-07-20 10:10:48	ga_ls7e_ard_3-2-0_108076_2021-07-20_final
2021-07-22 08:21:24	ga_ls7e_ard_3-2-0_090081_2021-07-21_final
2021-08-02 09:36:47	ga_ls7e_ard_3-2-0_103071_2021-08-02_final
2021-08-09 09:44:44	ga_ls7e_ard_3-2-0_104077_2021-08-09_final
2021-08-16 09:47:53	ga_ls7e_ard_3-2-0_105071_2021-08-16_final
2021-08-26 10:27:18	ga_ls7e_ard_3-2-0_111079_2021-08-26_final
2021-09-06 10:07:01	ga_ls7e_ard_3-2-0_108077_2021-09-06_final
2021-09-07 09:12:54	ga_ls7e_ard_3-2-0_099081_2021-09-06_final
2021-09-09 09:00:46	ga_ls7e_ard_3-2-0_097082_2021-09-08_final
2021-09-09 10:36:51	ga_ls7e_ard_3-2-0_113075_2021-09-09_final
2021-09-30 09:13:50	ga_ls7e_ard_3-2-0_100073_2021-09-29_final
2021-10-02 09:04:53	ga_ls7e_ard_3-2-0_098082_2021-10-01_final
2021-10-03 09:47:40	ga_ls7e_ard_3-2-0_105081_2021-10-03_final
2021-10-11 08:58:19	ga_ls7e_ard_3-2-0_097083_2021-10-10_final
2021-10-12 09:35:54	ga_ls7e_ard_3-2-0_104069_2021-10-12_final
2021-10-15 10:11:44	ga_ls7e_ard_3-2-0_109082_2021-10-15_final
2021-10-16 09:13:13	ga_ls7e_ard_3-2-0_100075_2021-10-15_final
2021-10-21 09:30:55	ga_ls7e_ard_3-2-0_103074_2021-10-21_final
2021-10-26 09:48:12	ga_ls7e_ard_3-2-0_106072_2021-10-26_final
2021-10-31 08:30:11	ga_ls7e_ard_3-2-0_093079_2021-10-30_final
2021-12-16 10:17:02	ga_ls7e_ard_3-2-1_111079_2021-12-16_final
2021-12-20 09:53:08	ga_ls7e_ard_3-2-1_107082_2021-12-20_final
2022-01-01 08:36:34	ga_ls7e_ard_3-2-1_095079_2021-12-31_final
2022-01-01 10:14:39	ga_ls7e_ard_3-2-1_111077_2022-01-01_final
2022-01-26 10:06:28	ga_ls7e_ard_3-2-1_110078_2022-01-26_final
2022-01-27 09:11:33	ga_ls7e_ard_3-2-1_101080_2022-01-26_final
2022-02-24 09:32:40	ga_ls7e_ard_3-2-1_105078_2022-02-24_final
2022-04-01 09:04:51	ga_ls7e_ard_3-2-1_101079_2022-03-31_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