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
2000-04-26 09:42:19	ga_ls7e_ard_3-0-0_095081_2000-04-26_final
2000-05-12 09:41:43	ga_ls7e_ard_3-0-0_095080_2000-05-12_final
2000-06-13 09:41:27	ga_ls7e_ard_3-0-0_095080_2000-06-13_final
2000-10-03 09:40:49	ga_ls7e_ard_3-0-0_095082_2000-10-03_final
2001-01-23 09:39:43	ga_ls7e_ard_3-1-0_095079_2001-01-23_final
2001-02-24 09:40:22	ga_ls7e_ard_3-0-0_095081_2001-02-24_final
2001-07-02 09:38:33	ga_ls7e_ard_3-1-0_095079_2001-07-02_final
2001-07-02 09:38:57	ga_ls7e_ard_3-0-0_095080_2001-07-02_final
2001-07-02 09:40:09	ga_ls7e_ard_3-0-0_095083_2001-07-02_final
2001-08-03 09:39:06	ga_ls7e_ard_3-0-0_095081_2001-08-03_final
2001-08-03 09:39:54	ga_ls7e_ard_3-0-0_095083_2001-08-03_final
2001-08-03 09:40:18	ga_ls7e_ard_3-0-0_095084_2001-08-03_final
2001-08-19 09:38:49	ga_ls7e_ard_3-0-0_095081_2001-08-19_final
2001-10-06 09:38:15	ga_ls7e_ard_3-0-0_095081_2001-10-06_final
2001-11-07 09:39:36	ga_ls7e_ard_3-0-0_095084_2001-11-07_final
2002-06-03 09:39:48	ga_ls7e_ard_3-1-0_095084_2002-06-03_final
2002-10-25 09:37:00	ga_ls7e_ard_3-1-0_095079_2002-10-25_final
2003-04-03 09:38:44	ga_ls7e_ard_3-0-0_095081_2003-04-03_final
2003-05-21 09:37:28	ga_ls7e_ard_3-0-0_095078_2003-05-21_final
2004-04-21 09:38:18	ga_ls7e_ard_3-1-0_095079_2004-04-21_final
2005-06-27 09:38:36	ga_ls7e_ard_3-1-0_095079_2005-06-27_final
2006-06-14 09:39:12	ga_ls7e_ard_3-1-0_095079_2006-06-14_final
2007-02-25 09:39:40	ga_ls7e_ard_3-1-0_095079_2007-02-25_final
2007-08-20 09:38:48	ga_ls7e_ard_3-0-0_095078_2007-08-20_final
2008-04-16 09:39:19	ga_ls7e_ard_3-1-0_095079_2008-04-16_final
2010-04-06 09:41:48	ga_ls7e_ard_3-0-0_095080_2010-04-06_final
2011-08-15 09:42:12	ga_ls7e_ard_3-0-0_095078_2011-08-15_final
2012-07-16 09:43:35	ga_ls7e_ard_3-0-0_095078_2012-07-16_final
2012-09-02 09:47:42	ga_ls7e_ard_3-0-0_095087_2012-09-02_final
2013-04-14 09:44:48	ga_ls7e_ard_3-0-0_095078_2013-04-14_final
2013-07-03 09:44:18	ga_ls7e_ard_3-0-0_095078_2013-07-03_final
2013-07-03 09:45:30	ga_ls7e_ard_3-0-0_095081_2013-07-03_final
2013-08-20 09:46:08	ga_ls7e_ard_3-0-0_095083_2013-08-20_final
2014-02-12 09:45:37	ga_ls7e_ard_3-0-0_095078_2014-02-12_final
2014-04-17 09:45:54	ga_ls7e_ard_3-0-0_095078_2014-04-17_final
2014-04-17 09:46:18	ga_ls7e_ard_3-1-0_095079_2014-04-17_final
2014-05-03 09:46:25	ga_ls7e_ard_3-1-0_095079_2014-05-03_final
2014-05-19 09:46:09	ga_ls7e_ard_3-0-0_095078_2014-05-19_final
2014-06-20 09:46:13	ga_ls7e_ard_3-0-0_095078_2014-06-20_final
2014-06-20 09:46:36	ga_ls7e_ard_3-1-0_095079_2014-06-20_final
2014-07-22 09:47:34	ga_ls7e_ard_3-0-0_095081_2014-07-22_final
2014-08-07 09:46:27	ga_ls7e_ard_3-0-0_095078_2014-08-07_final
2014-09-08 09:46:27	ga_ls7e_ard_3-0-0_095078_2014-09-08_final
2014-09-24 09:46:33	ga_ls7e_ard_3-0-0_095078_2014-09-24_final
2015-03-19 09:49:00	ga_ls7e_ard_3-0-0_095081_2015-03-19_final
2016-04-22 09:51:07	ga_ls7e_ard_3-0-0_095078_2016-04-22_final
2017-03-24 09:51:01	ga_ls7e_ard_3-0-0_095078_2017-03-24_final
2017-05-11 09:52:28	ga_ls7e_ard_3-0-0_095081_2017-05-11_final
2017-05-27 09:51:19	ga_ls7e_ard_3-0-0_095078_2017-05-27_final
2017-06-12 09:51:24	ga_ls7e_ard_3-0-0_095078_2017-06-12_final
2017-08-15 09:51:24	ga_ls7e_ard_3-0-0_095078_2017-08-15_final
2017-08-15 09:51:48	ga_ls7e_ard_3-1-0_095079_2017-08-15_final
2018-03-27 09:49:50	ga_ls7e_ard_3-0-0_095078_2018-03-27_final
2018-06-15 09:48:06	ga_ls7e_ard_3-0-0_095077_2018-06-15_final
2018-06-15 09:48:30	ga_ls7e_ard_3-0-0_095078_2018-06-15_final
2018-08-18 09:48:30	ga_ls7e_ard_3-0-0_095081_2018-08-18_final
2018-09-19 09:46:38	ga_ls7e_ard_3-0-0_095078_2018-09-19_final
2019-07-20 09:37:05	ga_ls7e_ard_3-0-0_095078_2019-07-20_final
2019-08-05 09:36:26	ga_ls7e_ard_3-0-0_095078_2019-08-05_final
2019-08-05 09:36:50	ga_ls7e_ard_3-1-0_095079_2019-08-05_final
2019-09-06 09:34:41	ga_ls7e_ard_3-1-0_095077_2019-09-06_final
2020-06-04 09:20:43	ga_ls7e_ard_3-1-0_095077_2020-06-03_final
2020-06-04 09:21:07	ga_ls7e_ard_3-1-0_095078_2020-06-03_final
2020-08-23 09:15:50	ga_ls7e_ard_3-1-0_095077_2020-08-22_final
2020-09-08 09:14:47	ga_ls7e_ard_3-1-0_095077_2020-09-07_final
2021-03-21 08:48:38	ga_ls7e_ard_3-2-0_093077_2021-03-20_final
2021-03-26 09:06:22	ga_ls7e_ard_3-2-0_096076_2021-03-25_final
2021-04-11 10:45:07	ga_ls7e_ard_3-2-0_112079_2021-04-11_final
2021-04-18 09:13:26	ga_ls7e_ard_3-2-0_097083_2021-04-17_final
2021-04-20 08:58:30	ga_ls7e_ard_3-2-0_095077_2021-04-19_final
2021-04-23 09:27:33	ga_ls7e_ard_3-2-0_100073_2021-04-22_final
2021-07-16 08:56:36	ga_ls7e_ard_3-2-0_096075_2021-07-15_final
2021-07-16 08:57:00	ga_ls7e_ard_3-2-0_096076_2021-07-15_final
2021-08-03 08:43:52	ga_ls7e_ard_3-2-0_094078_2021-08-02_final
2021-08-10 08:49:25	ga_ls7e_ard_3-2-0_095078_2021-08-09_final
2021-08-12 08:38:29	ga_ls7e_ard_3-2-0_093082_2021-08-11_final
2021-08-17 08:55:46	ga_ls7e_ard_3-2-0_096080_2021-08-16_final
2021-08-17 10:33:51	ga_ls7e_ard_3-2-0_112078_2021-08-17_final
2021-08-19 08:41:15	ga_ls7e_ard_3-2-0_094075_2021-08-18_final
2021-08-19 08:42:03	ga_ls7e_ard_3-2-0_094077_2021-08-18_final
2021-08-19 08:42:26	ga_ls7e_ard_3-2-0_094078_2021-08-18_final
2021-09-18 08:51:23	ga_ls7e_ard_3-2-0_096076_2021-09-17_final
2021-09-27 10:20:05	ga_ls7e_ard_3-2-0_111068_2021-09-27_final
2021-10-04 08:49:34	ga_ls7e_ard_3-2-0_096075_2021-10-03_final
2021-12-11 10:00:58	ga_ls7e_ard_3-2-1_108084_2021-12-11_final
2021-12-25 08:30:42	ga_ls7e_ard_3-2-1_094078_2021-12-24_final
2022-01-02 09:19:20	ga_ls7e_ard_3-2-1_102078_2022-01-01_final
2022-02-04 09:59:47	ga_ls7e_ard_3-2-1_109079_2022-02-04_final
2022-02-11 08:25:34	ga_ls7e_ard_3-2-1_094077_2022-02-10_final
2022-02-18 10:11:07	ga_ls7e_ard_3-2-1_111080_2022-02-18_final
2022-03-01 09:50:20	ga_ls7e_ard_3-2-1_108077_2022-03-01_final
2022-03-04 10:20:56	ga_ls7e_ard_3-2-1_113077_2022-03-04_final
2022-03-06 08:29:30	ga_ls7e_ard_3-2-1_095077_2022-03-05_final
2022-03-06 08:29:54	ga_ls7e_ard_3-2-1_095078_2022-03-05_final
2022-03-06 10:08:47	ga_ls7e_ard_3-2-1_111078_2022-03-06_final
2022-03-06 10:09:11	ga_ls7e_ard_3-2-1_111079_2022-03-06_final
2022-03-06 10:09:35	ga_ls7e_ard_3-2-1_111080_2022-03-06_final
2022-03-13 10:14:15	ga_ls7e_ard_3-2-1_112078_2022-03-13_final
2022-03-13 10:14:39	ga_ls7e_ard_3-2-1_112079_2022-03-13_final
2022-03-17 09:51:07	ga_ls7e_ard_3-2-1_108083_2022-03-17_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