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
1999-10-20 10:14:11	ga_ls7e_ard_3-0-0_100082_1999-10-20_final
1999-12-07 10:14:11	ga_ls7e_ard_3-0-0_100082_1999-12-07_final
2000-01-08 10:14:08	ga_ls7e_ard_3-0-0_100082_2000-01-08_final
2000-04-13 10:13:36	ga_ls7e_ard_3-0-0_100082_2000-04-13_final
2000-10-06 10:11:42	ga_ls7e_ard_3-0-0_100082_2000-10-06_final
2001-06-19 10:10:49	ga_ls7e_ard_3-0-0_100082_2001-06-19_final
2002-04-19 10:10:04	ga_ls7e_ard_3-0-0_100082_2002-04-19_final
2002-05-05 10:10:08	ga_ls7e_ard_3-0-0_100082_2002-05-05_final
2002-06-06 10:09:53	ga_ls7e_ard_3-0-0_100082_2002-06-06_final
2002-07-08 10:09:43	ga_ls7e_ard_3-0-0_100082_2002-07-08_final
2002-08-25 10:09:20	ga_ls7e_ard_3-0-0_100082_2002-08-25_final
2002-10-28 10:09:05	ga_ls7e_ard_3-0-0_100082_2002-10-28_final
2003-04-06 10:10:03	ga_ls7e_ard_3-0-0_100082_2003-04-06_final
2003-08-12 10:09:42	ga_ls7e_ard_3-1-0_100082_2003-08-12_final
2004-02-20 10:10:24	ga_ls7e_ard_3-0-0_100082_2004-02-20_final
2004-08-14 10:10:06	ga_ls7e_ard_3-0-0_100082_2004-08-14_final
2004-10-17 10:09:56	ga_ls7e_ard_3-0-0_100082_2004-10-17_final
2005-04-11 10:10:53	ga_ls7e_ard_3-0-0_100082_2005-04-11_final
2005-11-05 10:10:41	ga_ls7e_ard_3-0-0_100082_2005-11-05_final
2006-03-13 10:11:24	ga_ls7e_ard_3-0-0_100082_2006-03-13_final
2006-03-29 10:11:22	ga_ls7e_ard_3-0-0_100082_2006-03-29_final
2006-07-19 10:11:03	ga_ls7e_ard_3-0-0_100082_2006-07-19_final
2006-12-26 10:11:30	ga_ls7e_ard_3-0-0_100082_2006-12-26_final
2007-05-19 10:11:38	ga_ls7e_ard_3-0-0_100082_2007-05-19_final
2007-12-13 10:11:35	ga_ls7e_ard_3-0-0_100082_2007-12-13_final
2009-05-08 10:11:43	ga_ls7e_ard_3-0-0_100082_2009-05-08_final
2010-03-24 10:13:28	ga_ls7e_ard_3-0-0_100082_2010-03-24_final
2010-10-18 10:13:42	ga_ls7e_ard_3-0-0_100082_2010-10-18_final
2011-01-06 10:14:31	ga_ls7e_ard_3-0-0_100082_2011-01-06_final
2011-01-22 10:14:38	ga_ls7e_ard_3-0-0_100082_2011-01-22_final
2011-02-23 10:14:47	ga_ls7e_ard_3-0-0_100082_2011-02-23_final
2011-04-12 10:14:55	ga_ls7e_ard_3-0-0_100082_2011-04-12_final
2011-04-28 10:14:54	ga_ls7e_ard_3-0-0_100082_2011-04-28_final
2011-07-17 10:14:49	ga_ls7e_ard_3-0-0_100082_2011-07-17_final
2012-04-30 10:15:43	ga_ls7e_ard_3-0-0_100082_2012-04-30_final
2012-09-05 10:16:39	ga_ls7e_ard_3-0-0_100082_2012-09-05_final
2012-10-07 10:16:56	ga_ls7e_ard_3-0-0_100082_2012-10-07_final
2013-04-01 10:17:20	ga_ls7e_ard_3-0-0_100082_2013-04-01_final
2013-07-06 10:16:45	ga_ls7e_ard_3-0-0_100082_2013-07-06_final
2013-09-24 10:17:01	ga_ls7e_ard_3-0-0_100082_2013-09-24_final
2015-07-28 10:21:03	ga_ls7e_ard_3-0-0_100082_2015-07-28_final
2016-05-27 10:23:46	ga_ls7e_ard_3-0-0_100082_2016-05-27_final
2017-05-30 10:23:50	ga_ls7e_ard_3-0-0_100082_2017-05-30_final
2017-08-18 10:23:54	ga_ls7e_ard_3-0-0_100082_2017-08-18_final
2017-09-19 10:23:52	ga_ls7e_ard_3-0-0_100082_2017-09-19_final
2018-12-27 10:16:41	ga_ls7e_ard_3-0-0_100082_2018-12-27_final
2019-03-01 10:14:42	ga_ls7e_ard_3-1-0_100082_2019-03-01_final
2019-03-17 10:14:11	ga_ls7e_ard_3-1-0_100082_2019-03-17_final
2019-06-05 10:11:16	ga_ls7e_ard_3-0-0_100082_2019-06-05_final
2019-08-24 10:08:08	ga_ls7e_ard_3-1-0_100082_2019-08-24_final
2019-09-09 10:07:27	ga_ls7e_ard_3-1-0_100082_2019-09-09_final
2019-09-25 10:06:44	ga_ls7e_ard_3-1-0_100082_2019-09-25_final
2019-10-11 10:06:05	ga_ls7e_ard_3-1-0_100082_2019-10-11_final
2019-10-27 10:05:23	ga_ls7e_ard_3-1-0_100082_2019-10-27_final
2019-11-12 10:04:40	ga_ls7e_ard_3-1-0_100082_2019-11-12_final
2019-11-28 10:03:55	ga_ls7e_ard_3-1-0_100082_2019-11-28_final
2019-12-14 10:03:07	ga_ls7e_ard_3-1-0_100082_2019-12-14_final
2019-12-30 10:02:18	ga_ls7e_ard_3-1-0_100082_2019-12-30_final
2020-01-15 10:01:29	ga_ls7e_ard_3-1-0_100082_2020-01-15_final
2020-01-31 10:00:41	ga_ls7e_ard_3-1-0_100082_2020-01-31_final
2020-02-16 09:59:52	ga_ls7e_ard_3-1-0_100082_2020-02-16_final
2020-03-19 09:58:09	ga_ls7e_ard_3-1-0_100082_2020-03-19_final
2020-04-04 09:57:15	ga_ls7e_ard_3-1-0_100082_2020-04-04_final
2020-04-20 09:56:19	ga_ls7e_ard_3-1-0_100082_2020-04-20_final
2020-05-06 09:55:22	ga_ls7e_ard_3-1-0_100082_2020-05-06_final
2020-06-23 09:52:30	ga_ls7e_ard_3-1-0_100082_2020-06-23_final
2020-07-09 09:51:32	ga_ls7e_ard_3-1-0_100082_2020-07-09_final
2020-07-25 09:50:34	ga_ls7e_ard_3-1-0_100082_2020-07-25_final
2020-08-10 09:49:33	ga_ls7e_ard_3-1-0_100082_2020-08-10_final
2020-08-26 09:48:32	ga_ls7e_ard_3-1-0_100082_2020-08-26_final
2020-09-11 09:47:29	ga_ls7e_ard_3-1-0_100082_2020-09-11_final
2020-09-27 09:46:26	ga_ls7e_ard_3-1-0_100082_2020-09-27_final
2020-10-13 09:45:25	ga_ls7e_ard_3-1-0_100082_2020-10-13_final
2020-10-29 09:44:21	ga_ls7e_ard_3-1-0_100082_2020-10-29_final
2020-11-14 09:43:16	ga_ls7e_ard_3-1-0_100082_2020-11-14_final
2020-11-30 09:42:08	ga_ls7e_ard_3-1-0_100082_2020-11-30_final
2020-12-16 09:40:56	ga_ls7e_ard_3-1-0_100082_2020-12-16_final
2021-01-17 09:38:40	ga_ls7e_ard_3-1-0_100082_2021-01-17_final
2021-02-02 09:37:30	ga_ls7e_ard_3-2-0_100082_2021-02-02_final
2021-02-18 09:36:18	ga_ls7e_ard_3-2-0_100082_2021-02-18_final
2021-03-22 09:33:48	ga_ls7e_ard_3-2-0_100082_2021-03-22_final
2021-04-07 09:32:30	ga_ls7e_ard_3-2-0_100082_2021-04-07_final
2021-04-23 09:31:09	ga_ls7e_ard_3-2-0_100082_2021-04-23_final
2021-05-25 09:28:27	ga_ls7e_ard_3-2-0_100082_2021-05-24_final
2021-06-10 09:27:07	ga_ls7e_ard_3-2-0_100082_2021-06-09_final
2021-06-26 09:25:48	ga_ls7e_ard_3-2-0_100082_2021-06-25_final
2021-07-12 09:24:27	ga_ls7e_ard_3-2-0_100082_2021-07-11_final
2021-07-28 09:23:04	ga_ls7e_ard_3-2-0_100082_2021-07-27_final
2021-08-13 09:21:39	ga_ls7e_ard_3-2-0_100082_2021-08-12_final
2021-08-29 09:20:16	ga_ls7e_ard_3-2-0_100082_2021-08-28_final
2021-09-14 09:18:52	ga_ls7e_ard_3-2-0_100082_2021-09-13_final
2021-09-30 09:17:25	ga_ls7e_ard_3-2-0_100082_2021-09-29_final
2021-10-16 09:16:01	ga_ls7e_ard_3-2-0_100082_2021-10-15_final
2021-11-01 09:14:33	ga_ls7e_ard_3-2-0_100082_2021-10-31_final
2021-11-17 09:13:01	ga_ls7e_ard_3-2-1_100082_2021-11-16_final
2021-12-03 09:11:29	ga_ls7e_ard_3-2-1_100082_2021-12-02_final
2021-12-19 09:09:58	ga_ls7e_ard_3-2-1_100082_2021-12-18_final
2022-01-04 09:08:21	ga_ls7e_ard_3-2-1_100082_2022-01-03_final
2022-02-05 09:05:16	ga_ls7e_ard_3-2-1_100082_2022-02-04_final
2022-03-09 09:02:06	ga_ls7e_ard_3-2-1_100082_2022-03-08_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