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
1999-08-14 09:42:52	ga_ls7e_ard_3-0-0_095081_1999-08-14_final
1999-08-30 09:44:56	ga_ls7e_ard_3-0-0_095086_1999-08-30_final
2000-02-06 09:41:57	ga_ls7e_ard_3-1-0_095079_2000-02-06_final
2000-03-09 09:43:45	ga_ls7e_ard_3-0-0_095084_2000-03-09_final
2000-09-17 09:41:44	ga_ls7e_ard_3-0-0_095084_2000-09-17_final
2001-08-03 09:40:18	ga_ls7e_ard_3-0-0_095084_2001-08-03_final
2002-09-23 09:38:58	ga_ls7e_ard_3-0-0_095084_2002-09-23_final
2003-02-14 09:40:16	ga_ls7e_ard_3-0-0_095085_2003-02-14_final
2003-08-25 09:36:47	ga_ls7e_ard_3-0-0_095077_2003-08-25_final
2005-02-03 09:38:41	ga_ls7e_ard_3-1-0_095079_2005-02-03_final
2005-05-10 09:38:25	ga_ls7e_ard_3-0-0_095078_2005-05-10_final
2005-10-01 09:37:28	ga_ls7e_ard_3-0-0_095077_2005-10-01_final
2006-03-26 09:39:17	ga_ls7e_ard_3-1-0_095079_2006-03-26_final
2006-06-30 09:38:42	ga_ls7e_ard_3-0-0_095078_2006-06-30_final
2006-08-01 09:38:53	ga_ls7e_ard_3-1-0_095079_2006-08-01_final
2007-01-08 09:41:49	ga_ls7e_ard_3-1-0_095085_2007-01-08_final
2007-06-01 09:41:03	ga_ls7e_ard_3-0-0_095083_2007-06-01_final
2007-07-19 09:39:23	ga_ls7e_ard_3-1-0_095079_2007-07-19_final
2007-10-23 09:37:53	ga_ls7e_ard_3-0-0_095076_2007-10-23_final
2008-01-27 09:38:44	ga_ls7e_ard_3-0-0_095077_2008-01-27_final
2008-05-02 09:39:16	ga_ls7e_ard_3-1-0_095079_2008-05-02_final
2008-10-25 09:37:14	ga_ls7e_ard_3-0-0_095077_2008-10-25_final
2009-08-25 09:39:22	ga_ls7e_ard_3-1-0_095079_2009-08-25_final
2009-09-10 09:38:10	ga_ls7e_ard_3-0-0_095076_2009-09-10_final
2009-12-15 09:39:47	ga_ls7e_ard_3-0-0_095078_2009-12-15_final
2010-06-09 09:40:56	ga_ls7e_ard_3-0-0_095078_2010-06-09_final
2010-08-12 09:41:24	ga_ls7e_ard_3-1-0_095079_2010-08-12_final
2011-01-03 09:42:23	ga_ls7e_ard_3-1-0_095079_2011-01-03_final
2011-02-04 09:42:36	ga_ls7e_ard_3-1-0_095079_2011-02-04_final
2011-05-11 09:41:59	ga_ls7e_ard_3-0-0_095077_2011-05-11_final
2011-11-03 09:42:59	ga_ls7e_ard_3-0-0_095080_2011-11-03_final
2012-02-07 09:42:54	ga_ls7e_ard_3-0-0_095078_2012-02-07_final
2012-03-26 09:42:55	ga_ls7e_ard_3-0-0_095078_2012-03-26_final
2012-05-13 09:43:06	ga_ls7e_ard_3-0-0_095077_2012-05-13_final
2013-02-25 09:44:09	ga_ls7e_ard_3-0-0_095076_2013-02-25_final
2014-05-03 09:47:13	ga_ls7e_ard_3-0-0_095081_2014-05-03_final
2014-06-04 09:47:24	ga_ls7e_ard_3-0-0_095081_2014-06-04_final
2015-03-03 09:48:28	ga_ls7e_ard_3-0-0_095080_2015-03-03_final
2015-03-19 09:47:48	ga_ls7e_ard_3-0-0_095078_2015-03-19_final
2015-05-22 09:47:27	ga_ls7e_ard_3-0-0_095076_2015-05-22_final
2015-06-23 09:47:12	ga_ls7e_ard_3-0-0_095075_2015-06-23_final
2015-08-26 09:48:15	ga_ls7e_ard_3-0-0_095077_2015-08-26_final
2016-08-28 09:51:28	ga_ls7e_ard_3-0-0_095078_2016-08-28_final
2016-12-18 09:51:13	ga_ls7e_ard_3-0-0_095078_2016-12-18_final
2017-03-24 09:50:37	ga_ls7e_ard_3-0-0_095077_2017-03-24_final
2017-05-27 09:52:31	ga_ls7e_ard_3-0-0_095081_2017-05-27_final
2017-08-15 09:52:12	ga_ls7e_ard_3-0-0_095080_2017-08-15_final
2017-11-19 09:51:22	ga_ls7e_ard_3-0-0_095078_2017-11-19_final
2018-07-17 09:46:42	ga_ls7e_ard_3-0-0_095075_2018-07-17_final
2018-10-05 09:46:39	ga_ls7e_ard_3-1-0_095079_2018-10-05_final
2018-11-06 09:45:55	ga_ls7e_ard_3-1-0_095079_2018-11-06_final
2019-11-09 09:32:43	ga_ls7e_ard_3-1-0_095079_2019-11-09_final
2019-11-25 09:31:58	ga_ls7e_ard_3-1-0_095079_2019-11-25_final
2019-12-11 09:31:11	ga_ls7e_ard_3-1-0_095079_2019-12-11_final
2020-08-07 09:17:15	ga_ls7e_ard_3-1-0_095078_2020-08-06_final
2020-08-23 09:16:38	ga_ls7e_ard_3-1-0_095079_2020-08-22_final
2020-10-10 09:13:30	ga_ls7e_ard_3-1-0_095079_2020-10-09_final
2020-11-11 09:11:23	ga_ls7e_ard_3-1-0_095079_2020-11-10_final
2021-02-25 09:41:09	ga_ls7e_ard_3-2-0_101080_2021-02-25_final
2021-02-26 10:23:08	ga_ls7e_ard_3-2-0_108077_2021-02-26_final
2021-02-26 10:23:32	ga_ls7e_ard_3-2-0_108078_2021-02-26_final
2021-03-12 08:55:55	ga_ls7e_ard_3-2-0_094078_2021-03-11_final
2021-03-24 09:20:53	ga_ls7e_ard_3-2-0_098081_2021-03-23_final
2021-03-28 08:53:27	ga_ls7e_ard_3-2-0_094075_2021-03-27_final
2021-04-03 09:56:21	ga_ls7e_ard_3-2-0_104079_2021-04-03_final
2021-04-19 09:53:01	ga_ls7e_ard_3-2-0_104074_2021-04-19_final
2021-04-24 10:14:19	ga_ls7e_ard_3-2-0_107082_2021-04-24_final
2021-04-29 10:30:50	ga_ls7e_ard_3-2-0_110078_2021-04-29_final
2021-06-06 09:50:34	ga_ls7e_ard_3-2-0_104078_2021-06-06_final
2021-06-14 09:00:04	ga_ls7e_ard_3-2-0_096077_2021-06-13_final
2021-06-14 09:00:52	ga_ls7e_ard_3-2-0_096079_2021-06-13_final
2021-07-08 09:46:19	ga_ls7e_ard_3-2-0_104074_2021-07-08_final
2021-07-27 10:17:59	ga_ls7e_ard_3-2-0_109080_2021-07-27_final
2021-08-07 09:57:40	ga_ls7e_ard_3-2-0_106078_2021-08-07_final
2021-08-23 09:55:52	ga_ls7e_ard_3-2-0_106077_2021-08-23_final
2021-08-23 09:57:51	ga_ls7e_ard_3-2-0_106082_2021-08-23_final
2021-08-24 08:59:45	ga_ls7e_ard_3-2-0_097076_2021-08-23_final
2021-08-24 09:02:33	ga_ls7e_ard_3-2-0_097083_2021-08-23_final
2021-08-27 09:30:24	ga_ls7e_ard_3-2-0_102076_2021-08-27_final
2021-09-03 09:37:10	ga_ls7e_ard_3-2-0_103079_2021-09-03_final
2021-09-04 08:40:40	ga_ls7e_ard_3-2-0_094077_2021-09-03_final
2021-09-06 10:07:25	ga_ls7e_ard_3-2-0_108078_2021-09-06_final
2021-09-09 08:57:58	ga_ls7e_ard_3-2-0_097075_2021-09-08_final
2021-09-10 09:41:32	ga_ls7e_ard_3-2-0_104076_2021-09-10_final
2021-09-11 08:47:26	ga_ls7e_ard_3-2-0_095080_2021-09-10_final
2021-09-15 10:00:26	ga_ls7e_ard_3-2-0_107078_2021-09-15_final
2021-10-03 09:47:40	ga_ls7e_ard_3-2-0_105081_2021-10-03_final
2021-10-06 08:37:50	ga_ls7e_ard_3-2-0_094077_2021-10-05_final
2021-10-20 08:48:33	ga_ls7e_ard_3-2-0_096076_2021-10-19_final
2021-10-20 08:48:57	ga_ls7e_ard_3-2-0_096077_2021-10-19_final
2021-10-27 08:53:41	ga_ls7e_ard_3-2-0_097075_2021-10-26_final
2021-10-31 08:31:23	ga_ls7e_ard_3-2-0_093082_2021-10-30_final
2021-11-27 09:48:44	ga_ls7e_ard_3-2-1_106081_2021-11-27_final
2021-11-30 10:18:33	ga_ls7e_ard_3-2-1_111079_2021-11-30_final
2021-12-07 08:44:00	ga_ls7e_ard_3-2-1_096076_2021-12-06_final
2022-02-09 08:37:44	ga_ls7e_ard_3-2-1_096076_2022-02-08_final
2022-02-17 09:25:57	ga_ls7e_ard_3-2-1_104075_2022-02-16_final
2022-02-27 08:24:24	ga_ls7e_ard_3-2-1_094078_2022-02-26_final
2022-03-01 09:50:20	ga_ls7e_ard_3-2-1_108077_2022-03-01_final
2022-03-20 10:18:56	ga_ls7e_ard_3-2-1_113076_2022-03-20_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