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
2000-03-30 11:38:45	ga_ls7e_ard_3-1-0_114078_2000-03-30_final
2000-08-21 11:37:15	ga_ls7e_ard_3-0-0_114078_2000-08-21_final
2004-02-06 11:35:19	ga_ls7e_ard_3-0-0_114078_2004-02-06_final
2004-06-29 11:35:14	ga_ls7e_ard_3-0-0_114078_2004-06-29_final
2004-07-15 11:35:12	ga_ls7e_ard_3-0-0_114078_2004-07-15_final
2004-08-16 11:35:01	ga_ls7e_ard_3-0-0_114078_2004-08-16_final
2005-10-22 11:35:26	ga_ls7e_ard_3-0-0_114078_2005-10-22_final
2006-06-03 11:36:16	ga_ls7e_ard_3-0-0_114078_2006-06-03_final
2006-11-10 11:36:05	ga_ls7e_ard_3-0-0_114078_2006-11-10_final
2007-05-05 11:36:39	ga_ls7e_ard_3-0-0_114078_2007-05-05_final
2008-02-01 11:36:33	ga_ls7e_ard_3-0-0_114078_2008-02-01_final
2008-02-17 11:36:29	ga_ls7e_ard_3-0-0_114078_2008-02-17_final
2008-12-17 11:35:44	ga_ls7e_ard_3-0-0_114078_2008-12-17_final
2009-03-23 11:36:26	ga_ls7e_ard_3-0-0_114078_2009-03-23_final
2009-07-29 11:36:28	ga_ls7e_ard_3-0-0_114078_2009-07-29_final
2010-08-01 11:38:26	ga_ls7e_ard_3-0-0_114078_2010-08-01_final
2010-08-17 11:38:27	ga_ls7e_ard_3-0-0_114078_2010-08-17_final
2010-10-20 11:38:39	ga_ls7e_ard_3-0-0_114078_2010-10-20_final
2011-01-24 11:39:34	ga_ls7e_ard_3-0-0_114078_2011-01-24_final
2011-03-13 11:39:47	ga_ls7e_ard_3-0-0_114078_2011-03-13_final
2011-09-05 11:39:34	ga_ls7e_ard_3-0-0_114078_2011-09-05_final
2011-10-07 11:39:26	ga_ls7e_ard_3-0-0_114078_2011-10-07_final
2012-03-31 11:40:20	ga_ls7e_ard_3-0-0_114078_2012-03-31_final
2012-05-02 11:40:42	ga_ls7e_ard_3-0-0_114078_2012-05-02_final
2012-06-19 11:40:40	ga_ls7e_ard_3-0-0_114078_2012-06-19_final
2012-09-23 11:41:44	ga_ls7e_ard_3-0-0_114078_2012-09-23_final
2013-10-28 11:42:17	ga_ls7e_ard_3-0-0_114078_2013-10-28_final
2014-04-06 11:43:12	ga_ls7e_ard_3-0-0_114078_2014-04-06_final
2014-07-11 11:43:45	ga_ls7e_ard_3-0-0_114078_2014-07-11_final
2014-08-28 11:43:50	ga_ls7e_ard_3-0-0_114078_2014-08-28_final
2014-12-18 11:44:44	ga_ls7e_ard_3-0-0_114078_2014-12-18_final
2015-02-04 11:44:55	ga_ls7e_ard_3-0-0_114078_2015-02-04_final
2015-07-30 11:45:59	ga_ls7e_ard_3-0-0_114078_2015-07-30_final
2015-11-19 11:47:00	ga_ls7e_ard_3-0-0_114078_2015-11-19_final
2016-11-21 11:48:45	ga_ls7e_ard_3-0-0_114078_2016-11-21_final
2016-12-23 11:48:36	ga_ls7e_ard_3-0-0_114078_2016-12-23_final
2017-03-13 11:48:23	ga_ls7e_ard_3-0-0_114078_2017-03-13_final
2018-01-27 11:48:00	ga_ls7e_ard_3-0-0_114078_2018-01-27_final
2018-04-01 11:47:11	ga_ls7e_ard_3-0-0_114078_2018-04-01_final
2018-06-20 11:45:50	ga_ls7e_ard_3-0-0_114078_2018-06-20_final
2018-08-07 11:44:57	ga_ls7e_ard_3-0-0_114078_2018-08-07_final
2018-08-23 11:44:38	ga_ls7e_ard_3-0-0_114078_2018-08-23_final
2019-03-03 11:39:34	ga_ls7e_ard_3-1-0_114078_2019-03-03_final
2019-03-19 11:39:02	ga_ls7e_ard_3-1-0_114078_2019-03-19_final
2019-07-25 11:34:18	ga_ls7e_ard_3-0-0_114078_2019-07-25_final
2019-08-26 11:32:59	ga_ls7e_ard_3-1-0_114078_2019-08-26_final
2019-09-11 11:32:17	ga_ls7e_ard_3-1-0_114078_2019-09-11_final
2019-09-27 11:31:35	ga_ls7e_ard_3-1-0_114078_2019-09-27_final
2019-10-13 11:30:55	ga_ls7e_ard_3-1-0_114078_2019-10-13_final
2019-10-29 11:30:14	ga_ls7e_ard_3-1-0_114078_2019-10-29_final
2019-11-14 11:29:30	ga_ls7e_ard_3-1-0_114078_2019-11-14_final
2019-11-30 11:28:45	ga_ls7e_ard_3-1-0_114078_2019-11-30_final
2019-12-16 11:27:57	ga_ls7e_ard_3-1-0_114078_2019-12-16_final
2020-01-01 11:27:07	ga_ls7e_ard_3-1-0_114078_2020-01-01_final
2020-01-17 11:26:19	ga_ls7e_ard_3-1-0_114078_2020-01-17_final
2020-02-02 11:25:31	ga_ls7e_ard_3-1-0_114078_2020-02-02_final
2020-02-18 11:24:41	ga_ls7e_ard_3-1-0_114078_2020-02-18_final
2020-03-05 11:23:50	ga_ls7e_ard_3-1-0_114078_2020-03-05_final
2020-03-21 11:22:58	ga_ls7e_ard_3-1-0_114078_2020-03-21_final
2020-04-06 11:22:04	ga_ls7e_ard_3-1-0_114078_2020-04-06_final
2020-04-22 11:21:08	ga_ls7e_ard_3-1-0_114078_2020-04-22_final
2020-05-08 11:20:10	ga_ls7e_ard_3-1-0_114078_2020-05-08_final
2020-06-25 11:17:18	ga_ls7e_ard_3-1-0_114078_2020-06-25_final
2020-07-11 11:16:21	ga_ls7e_ard_3-1-0_114078_2020-07-11_final
2020-07-27 11:15:22	ga_ls7e_ard_3-1-0_114078_2020-07-27_final
2020-08-12 11:14:21	ga_ls7e_ard_3-1-0_114078_2020-08-12_final
2020-08-28 11:13:19	ga_ls7e_ard_3-1-0_114078_2020-08-28_final
2020-09-13 11:12:16	ga_ls7e_ard_3-1-0_114078_2020-09-13_final
2020-09-29 11:11:14	ga_ls7e_ard_3-1-0_114078_2020-09-29_final
2020-10-15 11:10:12	ga_ls7e_ard_3-1-0_114078_2020-10-15_final
2020-10-31 11:09:09	ga_ls7e_ard_3-1-0_114078_2020-10-31_final
2020-11-16 11:08:03	ga_ls7e_ard_3-1-0_114078_2020-11-16_final
2020-12-02 11:06:54	ga_ls7e_ard_3-1-0_114078_2020-12-02_final
2020-12-18 11:05:42	ga_ls7e_ard_3-1-0_114078_2020-12-18_final
2021-01-03 11:04:34	ga_ls7e_ard_3-1-0_114078_2021-01-03_final
2021-01-19 11:03:26	ga_ls7e_ard_3-1-0_114078_2021-01-19_final
2021-02-20 11:01:05	ga_ls7e_ard_3-2-0_114078_2021-02-20_final
2021-03-08 10:59:50	ga_ls7e_ard_3-2-0_114078_2021-03-08_final
2021-03-24 10:58:34	ga_ls7e_ard_3-2-0_114078_2021-03-24_final
2021-04-25 10:55:54	ga_ls7e_ard_3-2-0_114078_2021-04-25_final
2021-05-11 10:54:34	ga_ls7e_ard_3-2-0_114078_2021-05-11_final
2021-05-27 10:53:12	ga_ls7e_ard_3-2-0_114078_2021-05-27_final
2021-06-12 10:51:52	ga_ls7e_ard_3-2-0_114078_2021-06-12_final
2021-06-28 10:50:33	ga_ls7e_ard_3-2-0_114078_2021-06-28_final
2021-07-14 10:49:12	ga_ls7e_ard_3-2-0_114078_2021-07-14_final
2021-07-30 10:47:49	ga_ls7e_ard_3-2-0_114078_2021-07-30_final
2021-08-15 10:46:24	ga_ls7e_ard_3-2-0_114078_2021-08-15_final
2021-08-31 10:45:01	ga_ls7e_ard_3-2-0_114078_2021-08-31_final
2021-09-16 10:43:36	ga_ls7e_ard_3-2-0_114078_2021-09-16_final
2021-10-02 10:42:10	ga_ls7e_ard_3-2-0_114078_2021-10-02_final
2021-10-18 10:40:46	ga_ls7e_ard_3-2-0_114078_2021-10-18_final
2021-11-03 10:39:17	ga_ls7e_ard_3-2-0_114078_2021-11-03_final
2021-11-19 10:37:44	ga_ls7e_ard_3-2-1_114078_2021-11-19_final
2021-12-05 10:36:14	ga_ls7e_ard_3-2-1_114078_2021-12-05_final
2021-12-21 10:34:41	ga_ls7e_ard_3-2-1_114078_2021-12-21_final
2022-01-06 10:33:05	ga_ls7e_ard_3-2-1_114078_2022-01-06_final
2022-01-22 10:31:35	ga_ls7e_ard_3-2-1_114078_2022-01-22_final
2022-02-07 10:29:59	ga_ls7e_ard_3-2-1_114078_2022-02-07_final
2022-02-23 10:28:23	ga_ls7e_ard_3-2-1_114078_2022-02-23_final
2022-03-11 10:26:49	ga_ls7e_ard_3-2-1_114078_2022-03-11_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