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
1999-10-22 11:37:28	ga_ls7e_ard_3-0-0_114074_1999-10-22_final
1999-11-23 11:39:48	ga_ls7e_ard_3-0-0_114080_1999-11-23_final
2000-01-03 11:34:27	ga_ls7e_ard_3-0-0_113082_2000-01-03_final
2000-05-01 11:36:55	ga_ls7e_ard_3-0-0_114074_2000-05-01_final
2000-07-04 11:37:26	ga_ls7e_ard_3-0-0_114077_2000-07-04_final
2000-07-20 11:38:00	ga_ls7e_ard_3-1-0_114079_2000-07-20_final
2000-07-27 11:43:12	ga_ls7e_ard_3-1-0_115077_2000-07-27_final
2000-12-20 11:31:39	ga_ls7e_ard_3-0-0_113081_2000-12-20_final
2001-02-13 11:36:15	ga_ls7e_ard_3-0-0_114077_2001-02-13_final
2002-04-05 11:34:36	ga_ls7e_ard_3-0-0_114077_2002-04-05_final
2002-04-21 11:34:36	ga_ls7e_ard_3-0-0_114077_2002-04-21_final
2002-10-30 11:34:00	ga_ls7e_ard_3-0-0_114078_2002-10-30_final
2002-12-26 11:30:23	ga_ls7e_ard_3-0-0_113083_2002-12-26_final
2003-05-10 11:34:10	ga_ls7e_ard_3-0-0_114076_2003-05-10_final
2004-01-14 11:29:45	ga_ls7e_ard_3-0-0_113080_2004-01-14_final
2006-02-20 11:30:31	ga_ls7e_ard_3-0-0_113079_2006-02-20_final
2006-12-12 11:35:35	ga_ls7e_ard_3-0-0_114076_2006-12-12_final
2007-09-03 11:31:08	ga_ls7e_ard_3-0-0_113081_2007-09-03_final
2008-05-23 11:35:46	ga_ls7e_ard_3-0-0_114077_2008-05-23_final
2008-10-07 11:30:19	ga_ls7e_ard_3-0-0_113082_2008-10-07_final
2009-01-09 11:41:40	ga_ls7e_ard_3-0-0_115077_2009-01-09_final
2009-06-11 11:32:16	ga_ls7e_ard_3-0-0_114067_2009-06-11_final
2009-09-08 11:30:36	ga_ls7e_ard_3-0-0_113079_2009-09-08_final
2009-10-17 11:37:11	ga_ls7e_ard_3-0-0_114080_2009-10-17_final
2009-10-17 11:37:35	ga_ls7e_ard_3-0-0_114081_2009-10-17_final
2010-05-13 11:37:57	ga_ls7e_ard_3-0-0_114077_2010-05-13_final
2011-12-03 11:34:11	ga_ls7e_ard_3-0-0_113079_2011-12-03_final
2012-10-02 11:36:03	ga_ls7e_ard_3-0-0_113079_2012-10-02_final
2013-07-08 11:42:27	ga_ls7e_ard_3-0-0_114080_2013-07-08_final
2013-09-26 11:41:58	ga_ls7e_ard_3-0-0_114078_2013-09-26_final
2014-01-09 11:38:04	ga_ls7e_ard_3-0-0_113082_2014-01-09_final
2014-08-05 11:40:05	ga_ls7e_ard_3-0-0_113084_2014-08-05_final
2014-08-12 11:43:05	ga_ls7e_ard_3-0-0_114076_2014-08-12_final
2015-01-28 11:39:53	ga_ls7e_ard_3-0-0_113081_2015-01-28_final
2015-12-14 11:41:36	ga_ls7e_ard_3-0-0_113079_2015-12-14_final
2017-02-18 11:43:13	ga_ls7e_ard_3-0-0_113081_2017-02-18_final
2017-03-29 11:48:51	ga_ls7e_ard_3-0-0_114079_2017-03-29_final
2017-09-14 11:43:26	ga_ls7e_ard_3-0-0_113080_2017-09-14_final
2018-05-03 11:46:39	ga_ls7e_ard_3-0-0_114078_2018-05-03_final
2018-07-15 11:39:58	ga_ls7e_ard_3-0-0_113080_2018-07-15_final
2018-09-24 11:43:08	ga_ls7e_ard_3-0-0_114076_2018-09-24_final
2018-10-10 11:43:57	ga_ls7e_ard_3-0-0_114079_2018-10-10_final
2020-01-01 11:26:19	ga_ls7e_ard_3-1-0_114076_2020-01-01_final
2020-12-01 10:24:07	ga_ls7e_ard_3-1-0_107079_2020-12-01_final
2020-12-04 09:17:07	ga_ls7e_ard_3-1-0_096082_2020-12-03_final
2020-12-04 10:53:36	ga_ls7e_ard_3-1-0_112076_2020-12-04_final
2020-12-04 10:55:12	ga_ls7e_ard_3-1-0_112080_2020-12-04_final
2021-01-05 10:52:28	ga_ls7e_ard_3-1-0_112079_2021-01-05_final
2021-01-06 09:53:11	ga_ls7e_ard_3-1-0_103070_2021-01-06_final
2021-01-09 10:26:16	ga_ls7e_ard_3-1-0_108076_2021-01-09_final
2021-01-19 09:23:46	ga_ls7e_ard_3-1-0_098076_2021-01-18_final
2021-01-27 10:13:25	ga_ls7e_ard_3-2-0_106078_2021-01-27_final
2021-01-28 10:55:25	ga_ls7e_ard_3-2-0_113075_2021-01-28_final
2021-01-30 09:04:26	ga_ls7e_ard_3-2-0_095076_2021-01-29_final
2021-02-18 09:33:31	ga_ls7e_ard_3-2-0_100075_2021-02-18_final
2021-02-19 08:41:00	ga_ls7e_ard_3-2-0_091083_2021-02-18_final
2021-03-07 08:38:59	ga_ls7e_ard_3-2-0_091081_2021-03-06_final
2021-03-12 08:57:31	ga_ls7e_ard_3-2-0_094082_2021-03-11_final
2021-03-16 10:10:10	ga_ls7e_ard_3-2-0_106079_2021-03-16_final
2021-04-02 09:13:58	ga_ls7e_ard_3-2-0_097081_2021-04-01_final
2021-04-03 09:52:21	ga_ls7e_ard_3-2-0_104069_2021-04-03_final
2021-04-07 09:29:42	ga_ls7e_ard_3-2-0_100075_2021-04-06_final
2021-04-10 09:59:33	ga_ls7e_ard_3-2-0_105073_2021-04-10_final
2021-04-16 09:23:10	ga_ls7e_ard_3-2-0_099076_2021-04-15_final
2021-04-19 09:53:49	ga_ls7e_ard_3-2-0_104076_2021-04-19_final
2021-04-27 09:03:41	ga_ls7e_ard_3-2-0_096076_2021-04-26_final
2021-05-21 09:50:19	ga_ls7e_ard_3-2-0_104074_2021-05-21_final
2021-06-07 08:55:16	ga_ls7e_ard_3-2-0_095079_2021-06-06_final
2021-06-25 08:43:25	ga_ls7e_ard_3-2-0_093084_2021-06-24_final
2021-06-27 10:06:59	ga_ls7e_ard_3-2-0_107077_2021-06-27_final
2021-07-05 09:15:16	ga_ls7e_ard_3-2-0_099073_2021-07-04_final
2021-07-07 09:06:44	ga_ls7e_ard_3-2-0_097083_2021-07-06_final
2021-07-14 09:08:44	ga_ls7e_ard_3-2-0_098074_2021-07-13_final
2021-07-28 09:21:52	ga_ls7e_ard_3-2-0_100079_2021-07-27_final
2021-08-08 09:00:22	ga_ls7e_ard_3-2-0_097074_2021-08-07_final
2021-08-28 08:34:42	ga_ls7e_ard_3-2-0_093076_2021-08-27_final
2021-09-11 08:49:01	ga_ls7e_ard_3-2-0_095084_2021-09-10_final
2021-09-24 09:51:03	ga_ls7e_ard_3-2-0_106072_2021-09-24_final
2021-09-30 09:16:38	ga_ls7e_ard_3-2-0_100080_2021-09-29_final
2021-10-01 09:59:00	ga_ls7e_ard_3-2-0_107078_2021-10-01_final
2021-10-11 08:54:20	ga_ls7e_ard_3-2-0_097073_2021-10-10_final
2021-10-13 08:45:23	ga_ls7e_ard_3-2-0_095082_2021-10-12_final
2021-10-17 09:55:36	ga_ls7e_ard_3-2-0_107073_2021-10-17_final
2021-10-28 09:36:27	ga_ls7e_ard_3-2-0_104074_2021-10-28_final
2021-11-05 10:27:32	ga_ls7e_ard_3-2-0_112080_2021-11-05_final
2021-11-25 09:56:29	ga_ls7e_ard_3-2-1_108069_2021-11-25_final
2021-11-28 08:53:49	ga_ls7e_ard_3-2-1_097083_2021-11-27_final
2021-12-07 08:45:36	ga_ls7e_ard_3-2-1_096080_2021-12-06_final
2021-12-09 08:32:39	ga_ls7e_ard_3-2-1_094079_2021-12-08_final
2021-12-13 09:47:37	ga_ls7e_ard_3-2-1_106082_2021-12-13_final
2021-12-14 10:28:23	ga_ls7e_ard_3-2-1_113076_2021-12-14_final
2021-12-23 10:21:20	ga_ls7e_ard_3-2-1_112076_2021-12-23_final
2022-01-06 08:52:37	ga_ls7e_ard_3-2-1_098074_2022-01-05_final
2022-01-21 08:14:20	ga_ls7e_ard_3-2-1_091090_2022-01-20_final
2022-02-04 08:23:42	ga_ls7e_ard_3-2-1_093086_2022-02-03_final
2022-02-17 09:25:09	ga_ls7e_ard_3-2-1_104073_2022-02-16_final
2022-03-01 08:11:27	ga_ls7e_ard_3-2-1_092077_2022-02-28_final
2022-03-06 08:29:06	ga_ls7e_ard_3-2-1_095076_2022-03-05_final
2022-03-11 08:48:44	ga_ls7e_ard_3-2-1_098080_2022-03-10_final
2022-04-04 07:56:58	ga_ls7e_ard_3-2-1_090080_2022-04-03_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years