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
2000-04-10 09:41:34	ga_ls7e_ard_3-1-0_095079_2000-04-10_final
2000-05-12 09:42:07	ga_ls7e_ard_3-0-0_095081_2000-05-12_final
2000-05-28 09:41:33	ga_ls7e_ard_3-0-0_095080_2000-05-28_final
2000-09-17 09:41:20	ga_ls7e_ard_3-0-0_095083_2000-09-17_final
2000-10-03 09:40:25	ga_ls7e_ard_3-0-0_095081_2000-10-03_final
2001-01-07 09:39:14	ga_ls7e_ard_3-0-0_095078_2001-01-07_final
2002-09-07 09:37:10	ga_ls7e_ard_3-1-0_095079_2002-09-07_final
2002-10-25 09:36:36	ga_ls7e_ard_3-0-0_095078_2002-10-25_final
2002-11-10 09:36:41	ga_ls7e_ard_3-0-0_095078_2002-11-10_final
2002-12-12 09:37:02	ga_ls7e_ard_3-0-0_095078_2002-12-12_final
2003-07-24 09:37:19	ga_ls7e_ard_3-0-0_095078_2003-07-24_final
2003-08-09 09:37:11	ga_ls7e_ard_3-0-0_095078_2003-08-09_final
2003-10-12 09:36:53	ga_ls7e_ard_3-0-0_095078_2003-10-12_final
2004-08-11 09:37:36	ga_ls7e_ard_3-0-0_095078_2004-08-11_final
2004-08-11 09:38:00	ga_ls7e_ard_3-1-0_095079_2004-08-11_final
2005-02-03 09:38:17	ga_ls7e_ard_3-0-0_095078_2005-02-03_final
2005-10-01 09:37:52	ga_ls7e_ard_3-0-0_095078_2005-10-01_final
2006-05-13 09:38:52	ga_ls7e_ard_3-0-0_095078_2006-05-13_final
2009-01-29 09:38:34	ga_ls7e_ard_3-0-0_095078_2009-01-29_final
2009-03-02 09:39:15	ga_ls7e_ard_3-1-0_095079_2009-03-02_final
2010-06-09 09:40:56	ga_ls7e_ard_3-0-0_095078_2010-06-09_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
2011-08-31 09:42:10	ga_ls7e_ard_3-0-0_095078_2011-08-31_final
2012-02-07 09:42:54	ga_ls7e_ard_3-0-0_095078_2012-02-07_final
2012-02-23 09:43:20	ga_ls7e_ard_3-1-0_095079_2012-02-23_final
2012-03-10 09:43:17	ga_ls7e_ard_3-1-0_095079_2012-03-10_final
2013-03-13 09:45:20	ga_ls7e_ard_3-1-0_095079_2013-03-13_final
2013-03-29 09:45:38	ga_ls7e_ard_3-0-0_095080_2013-03-29_final
2013-09-21 09:45:41	ga_ls7e_ard_3-0-0_095081_2013-09-21_final
2014-06-04 09:46:12	ga_ls7e_ard_3-0-0_095078_2014-06-04_final
2014-06-20 09:46:13	ga_ls7e_ard_3-0-0_095078_2014-06-20_final
2014-10-26 09:47:18	ga_ls7e_ard_3-1-0_095079_2014-10-26_final
2015-06-07 09:48:22	ga_ls7e_ard_3-0-0_095078_2015-06-07_final
2016-03-05 09:50:48	ga_ls7e_ard_3-0-0_095078_2016-03-05_final
2016-08-28 09:51:52	ga_ls7e_ard_3-1-0_095079_2016-08-28_final
2017-02-04 09:50:47	ga_ls7e_ard_3-0-0_095078_2017-02-04_final
2017-06-28 09:51:27	ga_ls7e_ard_3-0-0_095078_2017-06-28_final
2017-08-31 09:51:25	ga_ls7e_ard_3-0-0_095078_2017-08-31_final
2018-10-21 09:45:28	ga_ls7e_ard_3-0-0_095077_2018-10-21_final
2019-01-25 09:42:52	ga_ls7e_ard_3-0-0_095077_2019-01-25_final
2019-04-15 09:41:05	ga_ls7e_ard_3-1-0_095079_2019-04-15_final
2019-06-02 09:38:29	ga_ls7e_ard_3-0-0_095077_2019-06-02_final
2019-06-02 09:38:53	ga_ls7e_ard_3-0-0_095078_2019-06-02_final
2019-12-11 09:31:11	ga_ls7e_ard_3-1-0_095079_2019-12-11_final
2020-01-28 09:28:45	ga_ls7e_ard_3-1-0_095079_2020-01-27_final
2020-04-17 09:23:36	ga_ls7e_ard_3-1-0_095077_2020-04-16_final
2020-06-20 09:20:35	ga_ls7e_ard_3-1-0_095079_2020-06-19_final
2020-07-22 09:18:15	ga_ls7e_ard_3-1-0_095078_2020-07-21_final
2021-02-09 09:42:22	ga_ls7e_ard_3-2-0_101080_2021-02-09_final
2021-03-03 09:02:25	ga_ls7e_ard_3-2-0_095077_2021-03-02_final
2021-03-14 10:22:17	ga_ls7e_ard_3-2-0_108078_2021-03-14_final
2021-03-17 10:52:33	ga_ls7e_ard_3-2-0_113077_2021-03-17_final
2021-03-20 09:44:44	ga_ls7e_ard_3-2-0_102078_2021-03-20_final
2021-03-26 09:06:22	ga_ls7e_ard_3-2-0_096076_2021-03-25_final
2021-03-29 09:38:37	ga_ls7e_ard_3-2-0_101080_2021-03-29_final
2021-04-16 09:22:22	ga_ls7e_ard_3-2-0_099074_2021-04-15_final
2021-04-16 11:03:14	ga_ls7e_ard_3-2-0_115079_2021-04-16_final
2021-04-21 09:42:05	ga_ls7e_ard_3-2-0_102078_2021-04-21_final
2021-04-22 10:25:39	ga_ls7e_ard_3-2-0_109079_2021-04-22_final
2021-05-13 09:02:21	ga_ls7e_ard_3-2-0_096076_2021-05-12_final
2021-05-13 09:02:45	ga_ls7e_ard_3-2-0_096077_2021-05-12_final
2021-05-15 08:51:02	ga_ls7e_ard_3-2-0_094079_2021-05-14_final
2021-05-22 10:35:05	ga_ls7e_ard_3-2-0_111078_2021-05-22_final
2021-06-01 09:33:13	ga_ls7e_ard_3-2-0_101080_2021-06-01_final
2021-06-05 09:06:35	ga_ls7e_ard_3-2-0_097076_2021-06-04_final
2021-06-17 09:31:32	ga_ls7e_ard_3-2-0_101079_2021-06-17_final
2021-06-18 10:14:18	ga_ls7e_ard_3-2-0_108078_2021-06-18_final
2021-06-22 09:50:27	ga_ls7e_ard_3-2-0_104081_2021-06-22_final
2021-06-28 09:10:05	ga_ls7e_ard_3-2-0_098074_2021-06-27_final
2021-06-28 09:10:29	ga_ls7e_ard_3-2-0_098075_2021-06-27_final
2021-06-29 09:55:39	ga_ls7e_ard_3-2-0_105080_2021-06-29_final
2021-06-30 09:00:45	ga_ls7e_ard_3-2-0_096082_2021-06-29_final
2021-07-04 10:12:58	ga_ls7e_ard_3-2-0_108078_2021-07-04_final
2021-07-10 09:35:23	ga_ls7e_ard_3-2-0_102078_2021-07-10_final
2021-07-11 10:18:57	ga_ls7e_ard_3-2-0_109079_2021-07-11_final
2021-07-25 08:50:02	ga_ls7e_ard_3-2-0_095076_2021-07-24_final
2021-08-01 08:55:12	ga_ls7e_ard_3-2-0_096075_2021-07-31_final
2021-08-04 09:27:26	ga_ls7e_ard_3-2-0_101079_2021-08-03_final
2021-08-08 10:40:26	ga_ls7e_ard_3-2-0_113077_2021-08-08_final
2021-08-15 09:05:55	ga_ls7e_ard_3-2-0_098074_2021-08-14_final
2021-08-15 09:06:19	ga_ls7e_ard_3-2-0_098075_2021-08-14_final
2021-08-19 08:42:26	ga_ls7e_ard_3-2-0_094078_2021-08-18_final
2021-08-21 10:08:23	ga_ls7e_ard_3-2-0_108077_2021-08-21_final
2021-09-18 10:31:52	ga_ls7e_ard_3-2-0_112080_2021-09-18_final
2021-09-20 08:39:39	ga_ls7e_ard_3-2-0_094078_2021-09-19_final
2021-09-25 10:36:37	ga_ls7e_ard_3-2-0_113078_2021-09-25_final
2021-09-26 09:39:42	ga_ls7e_ard_3-2-0_104075_2021-09-26_final
2021-09-27 08:45:36	ga_ls7e_ard_3-2-0_095079_2021-09-26_final
2021-10-11 08:54:44	ga_ls7e_ard_3-2-0_097074_2021-10-10_final
2021-10-17 09:59:11	ga_ls7e_ard_3-2-0_107082_2021-10-17_final
2021-12-11 09:58:35	ga_ls7e_ard_3-2-1_108078_2021-12-11_final
2021-12-20 09:51:32	ga_ls7e_ard_3-2-1_107078_2021-12-20_final
2021-12-27 09:57:01	ga_ls7e_ard_3-2-1_108078_2021-12-27_final
2022-01-08 08:40:52	ga_ls7e_ard_3-2-1_096076_2022-01-07_final
2022-01-20 09:04:03	ga_ls7e_ard_3-2-1_100075_2022-01-19_final
2022-01-31 08:46:50	ga_ls7e_ard_3-2-1_097081_2022-01-30_final
2022-02-25 08:36:09	ga_ls7e_ard_3-2-1_096076_2022-02-24_final
2022-03-01 09:50:20	ga_ls7e_ard_3-2-1_108077_2022-03-01_final
2022-03-15 08:22:49	ga_ls7e_ard_3-2-1_094078_2022-03-14_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