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
1999-10-14 09:14:05	ga_ls7e_ard_3-0-0_090086_1999-10-13_final
2000-02-03 09:13:52	ga_ls7e_ard_3-0-0_090086_2000-02-02_final
2000-03-22 09:13:42	ga_ls7e_ard_3-1-0_090086_2000-03-21_final
2000-05-25 09:13:03	ga_ls7e_ard_3-0-0_090086_2000-05-24_final
2000-07-28 09:12:17	ga_ls7e_ard_3-0-0_090086_2000-07-27_final
2000-11-01 09:11:27	ga_ls7e_ard_3-0-0_090086_2000-10-31_final
2000-12-03 09:11:26	ga_ls7e_ard_3-0-0_090086_2000-12-02_final
2001-01-20 09:11:36	ga_ls7e_ard_3-0-0_090086_2001-01-19_final
2001-06-13 09:10:41	ga_ls7e_ard_3-0-0_090086_2001-06-12_final
2002-03-28 09:09:54	ga_ls7e_ard_3-0-0_090086_2002-03-27_final
2002-04-29 09:09:55	ga_ls7e_ard_3-0-0_090086_2002-04-28_final
2002-11-23 09:09:14	ga_ls7e_ard_3-0-0_090086_2002-11-22_final
2003-04-16 09:09:50	ga_ls7e_ard_3-0-0_090086_2003-04-15_final
2003-08-06 09:09:28	ga_ls7e_ard_3-0-0_090086_2003-08-05_final
2003-11-26 09:09:46	ga_ls7e_ard_3-0-0_090086_2003-11-25_final
2004-06-21 09:10:07	ga_ls7e_ard_3-0-0_090086_2004-06-20_final
2004-07-23 09:10:01	ga_ls7e_ard_3-0-0_090086_2004-07-22_final
2005-05-07 09:10:42	ga_ls7e_ard_3-0-0_090086_2005-05-06_final
2005-10-14 09:10:11	ga_ls7e_ard_3-0-0_090086_2005-10-13_final
2006-05-26 09:11:09	ga_ls7e_ard_3-0-0_090086_2006-05-25_final
2006-07-13 09:10:54	ga_ls7e_ard_3-0-0_090086_2006-07-12_final
2006-08-14 09:10:46	ga_ls7e_ard_3-0-0_090086_2006-08-13_final
2008-04-29 09:11:10	ga_ls7e_ard_3-0-0_090086_2008-04-28_final
2008-07-02 09:10:39	ga_ls7e_ard_3-0-0_090086_2008-07-01_final
2008-12-25 09:10:40	ga_ls7e_ard_3-0-0_090086_2008-12-24_final
2009-04-16 09:11:26	ga_ls7e_ard_3-0-0_090086_2009-04-15_final
2009-07-21 09:11:23	ga_ls7e_ard_3-0-0_090086_2009-07-20_final
2009-08-22 09:11:16	ga_ls7e_ard_3-0-0_090086_2009-08-21_final
2010-05-21 09:13:12	ga_ls7e_ard_3-0-0_090086_2010-05-20_final
2011-02-01 09:14:29	ga_ls7e_ard_3-0-0_090086_2011-01-31_final
2011-05-08 09:14:42	ga_ls7e_ard_3-0-0_090086_2011-05-07_final
2011-09-13 09:14:22	ga_ls7e_ard_3-0-0_090086_2011-09-12_final
2012-04-08 09:15:09	ga_ls7e_ard_3-0-0_090086_2012-04-07_final
2012-11-02 09:16:56	ga_ls7e_ard_3-0-0_090086_2012-11-01_final
2013-04-27 09:17:00	ga_ls7e_ard_3-0-0_090086_2013-04-26_final
2013-08-17 09:16:24	ga_ls7e_ard_3-0-0_090086_2013-08-16_final
2014-04-30 09:18:18	ga_ls7e_ard_3-0-0_090086_2014-04-29_final
2014-06-17 09:18:29	ga_ls7e_ard_3-0-0_090086_2014-06-16_final
2014-09-05 09:18:44	ga_ls7e_ard_3-0-0_090086_2014-09-04_final
2014-10-07 09:19:01	ga_ls7e_ard_3-0-0_090086_2014-10-06_final
2014-10-23 09:19:10	ga_ls7e_ard_3-0-0_090086_2014-10-22_final
2015-08-07 09:20:54	ga_ls7e_ard_3-0-0_090086_2015-08-06_final
2016-01-14 09:22:42	ga_ls7e_ard_3-0-0_090086_2016-01-13_final
2016-05-05 09:23:28	ga_ls7e_ard_3-0-0_090086_2016-05-04_final
2016-08-25 09:23:45	ga_ls7e_ard_3-0-0_090086_2016-08-24_final
2016-09-26 09:23:50	ga_ls7e_ard_3-0-0_090086_2016-09-25_final
2016-10-28 09:23:47	ga_ls7e_ard_3-0-0_090086_2016-10-27_final
2016-12-31 09:23:24	ga_ls7e_ard_3-0-0_090086_2016-12-30_final
2017-09-13 09:23:41	ga_ls7e_ard_3-0-0_090086_2017-09-12_final
2017-11-16 09:23:41	ga_ls7e_ard_3-0-0_090086_2017-11-15_final
2018-07-30 09:19:58	ga_ls7e_ard_3-0-0_090086_2018-07-29_final
2018-10-02 09:18:37	ga_ls7e_ard_3-0-0_090086_2018-10-01_final
2019-02-07 09:15:10	ga_ls7e_ard_3-0-0_090086_2019-02-06_final
2019-02-23 09:14:41	ga_ls7e_ard_3-1-0_090086_2019-02-22_final
2019-03-11 09:14:10	ga_ls7e_ard_3-1-0_090086_2019-03-10_final
2019-03-27 09:13:39	ga_ls7e_ard_3-1-0_090086_2019-03-26_final
2019-07-01 09:10:07	ga_ls7e_ard_3-0-0_090086_2019-06-30_final
2019-09-03 09:07:30	ga_ls7e_ard_3-1-0_090086_2019-09-02_final
2019-09-19 09:06:48	ga_ls7e_ard_3-1-0_090086_2019-09-18_final
2019-10-05 09:06:07	ga_ls7e_ard_3-1-0_090086_2019-10-04_final
2019-10-21 09:05:27	ga_ls7e_ard_3-1-0_090086_2019-10-20_final
2019-11-06 09:04:44	ga_ls7e_ard_3-1-0_090086_2019-11-05_final
2019-11-22 09:04:00	ga_ls7e_ard_3-1-0_090086_2019-11-21_final
2019-12-08 09:03:13	ga_ls7e_ard_3-1-0_090086_2019-12-07_final
2019-12-24 09:02:24	ga_ls7e_ard_3-1-0_090086_2019-12-23_final
2020-01-09 09:01:34	ga_ls7e_ard_3-1-0_090086_2020-01-08_final
2020-01-25 09:00:47	ga_ls7e_ard_3-1-0_090086_2020-01-24_final
2020-02-26 08:59:08	ga_ls7e_ard_3-1-0_090086_2020-02-25_final
2020-03-13 08:58:17	ga_ls7e_ard_3-1-0_090086_2020-03-12_final
2020-03-29 08:57:23	ga_ls7e_ard_3-1-0_090086_2020-03-28_final
2020-04-14 08:56:28	ga_ls7e_ard_3-1-0_090086_2020-04-13_final
2020-05-16 08:54:33	ga_ls7e_ard_3-1-0_090086_2020-05-15_final
2020-07-03 08:51:42	ga_ls7e_ard_3-1-0_090086_2020-07-02_final
2020-07-19 08:50:44	ga_ls7e_ard_3-1-0_090086_2020-07-18_final
2020-08-04 08:49:44	ga_ls7e_ard_3-1-0_090086_2020-08-03_final
2020-08-20 08:48:43	ga_ls7e_ard_3-1-0_090086_2020-08-19_final
2020-09-05 08:47:40	ga_ls7e_ard_3-1-0_090086_2020-09-04_final
2020-09-21 08:46:36	ga_ls7e_ard_3-1-0_090086_2020-09-20_final
2020-10-23 08:44:33	ga_ls7e_ard_3-1-0_090086_2020-10-22_final
2020-11-08 08:43:29	ga_ls7e_ard_3-1-0_090086_2020-11-07_final
2020-11-24 08:42:22	ga_ls7e_ard_3-1-0_090086_2020-11-23_final
2020-12-26 08:39:59	ga_ls7e_ard_3-1-0_090086_2020-12-25_final
2021-01-27 08:37:44	ga_ls7e_ard_3-2-0_090086_2021-01-26_final
2021-02-28 08:35:20	ga_ls7e_ard_3-2-0_090086_2021-02-27_final
2021-04-01 08:32:47	ga_ls7e_ard_3-2-0_090086_2021-03-31_final
2021-04-17 08:31:27	ga_ls7e_ard_3-2-0_090086_2021-04-16_final
2021-05-03 08:30:06	ga_ls7e_ard_3-2-0_090086_2021-05-02_final
2021-05-19 08:28:46	ga_ls7e_ard_3-2-0_090086_2021-05-18_final
2021-06-04 08:27:24	ga_ls7e_ard_3-2-0_090086_2021-06-03_final
2021-07-06 08:24:46	ga_ls7e_ard_3-2-0_090086_2021-07-05_final
2021-07-22 08:23:23	ga_ls7e_ard_3-2-0_090086_2021-07-21_final
2021-08-07 08:21:59	ga_ls7e_ard_3-2-0_090086_2021-08-06_final
2021-08-23 08:20:34	ga_ls7e_ard_3-2-0_090086_2021-08-22_final
2021-09-08 08:19:11	ga_ls7e_ard_3-2-0_090086_2021-09-07_final
2021-09-24 08:17:46	ga_ls7e_ard_3-2-0_090086_2021-09-23_final
2021-10-10 08:16:21	ga_ls7e_ard_3-2-0_090086_2021-10-09_final
2021-11-11 08:13:24	ga_ls7e_ard_3-2-0_090086_2021-11-10_final
2021-12-13 08:10:21	ga_ls7e_ard_3-2-1_090086_2021-12-12_final
2021-12-29 08:08:46	ga_ls7e_ard_3-2-1_090086_2021-12-28_final
2022-01-14 08:07:13	ga_ls7e_ard_3-2-1_090086_2022-01-13_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