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
1999-07-06 11:13:28	ga_ls7e_ard_3-0-0_110076_1999-07-06_final
2000-01-14 11:13:32	ga_ls7e_ard_3-0-0_110076_2000-01-14_final
2000-05-05 11:12:56	ga_ls7e_ard_3-0-0_110076_2000-05-05_final
2000-12-15 11:11:06	ga_ls7e_ard_3-0-0_110076_2000-12-15_final
2002-06-12 11:09:14	ga_ls7e_ard_3-0-0_110076_2002-06-12_final
2002-08-31 11:08:41	ga_ls7e_ard_3-1-0_110076_2002-08-31_final
2004-12-26 11:10:01	ga_ls7e_ard_3-0-0_110076_2004-12-26_final
2005-01-11 11:10:06	ga_ls7e_ard_3-0-0_110076_2005-01-11_final
2005-02-12 11:10:17	ga_ls7e_ard_3-0-0_110076_2005-02-12_final
2005-02-28 11:10:22	ga_ls7e_ard_3-0-0_110076_2005-02-28_final
2005-03-16 11:10:24	ga_ls7e_ard_3-0-0_110076_2005-03-16_final
2005-06-20 11:10:08	ga_ls7e_ard_3-0-0_110076_2005-06-20_final
2005-07-06 11:10:07	ga_ls7e_ard_3-0-0_110076_2005-07-06_final
2005-08-07 11:10:05	ga_ls7e_ard_3-0-0_110076_2005-08-07_final
2005-10-10 11:09:44	ga_ls7e_ard_3-0-0_110076_2005-10-10_final
2007-02-02 11:11:03	ga_ls7e_ard_3-0-0_110076_2007-02-02_final
2009-04-12 11:11:02	ga_ls7e_ard_3-0-0_110076_2009-04-12_final
2011-03-17 11:14:16	ga_ls7e_ard_3-0-0_110076_2011-03-17_final
2011-05-20 11:14:16	ga_ls7e_ard_3-0-0_110076_2011-05-20_final
2011-06-05 11:14:18	ga_ls7e_ard_3-0-0_110076_2011-06-05_final
2011-10-11 11:13:55	ga_ls7e_ard_3-0-0_110076_2011-10-11_final
2011-12-14 11:14:29	ga_ls7e_ard_3-0-0_110076_2011-12-14_final
2013-07-12 11:16:06	ga_ls7e_ard_3-0-0_110076_2013-07-12_final
2013-11-01 11:16:46	ga_ls7e_ard_3-0-0_110076_2013-11-01_final
2014-06-29 11:18:11	ga_ls7e_ard_3-0-0_110076_2014-06-29_final
2015-10-06 11:20:43	ga_ls7e_ard_3-0-0_110076_2015-10-06_final
2015-11-23 11:21:32	ga_ls7e_ard_3-0-0_110076_2015-11-23_final
2016-01-10 11:22:16	ga_ls7e_ard_3-0-0_110076_2016-01-10_final
2016-01-26 11:22:27	ga_ls7e_ard_3-0-0_110076_2016-01-26_final
2016-02-27 11:22:37	ga_ls7e_ard_3-0-0_110076_2016-02-27_final
2016-03-14 11:22:47	ga_ls7e_ard_3-0-0_110076_2016-03-14_final
2016-03-30 11:22:52	ga_ls7e_ard_3-0-0_110076_2016-03-30_final
2016-04-15 11:22:58	ga_ls7e_ard_3-0-0_110076_2016-04-15_final
2016-05-01 11:23:04	ga_ls7e_ard_3-0-0_110076_2016-05-01_final
2016-05-17 11:23:06	ga_ls7e_ard_3-0-0_110076_2016-05-17_final
2016-06-18 11:23:16	ga_ls7e_ard_3-0-0_110076_2016-06-18_final
2016-08-05 11:23:19	ga_ls7e_ard_3-0-0_110076_2016-08-05_final
2016-09-22 11:23:26	ga_ls7e_ard_3-0-0_110076_2016-09-22_final
2016-10-08 11:23:28	ga_ls7e_ard_3-0-0_110076_2016-10-08_final
2016-11-09 11:23:18	ga_ls7e_ard_3-0-0_110076_2016-11-09_final
2017-01-28 11:22:43	ga_ls7e_ard_3-0-0_110076_2017-01-28_final
2017-10-27 11:23:21	ga_ls7e_ard_3-0-0_110076_2017-10-27_final
2019-01-02 11:15:54	ga_ls7e_ard_3-0-0_110076_2019-01-02_final
2019-02-19 11:14:25	ga_ls7e_ard_3-1-0_110076_2019-02-19_final
2019-03-07 11:13:55	ga_ls7e_ard_3-1-0_110076_2019-03-07_final
2019-03-23 11:13:23	ga_ls7e_ard_3-1-0_110076_2019-03-23_final
2019-08-30 11:07:17	ga_ls7e_ard_3-1-0_110076_2019-08-30_final
2019-09-15 11:06:35	ga_ls7e_ard_3-1-0_110076_2019-09-15_final
2019-10-01 11:05:54	ga_ls7e_ard_3-1-0_110076_2019-10-01_final
2019-10-17 11:05:14	ga_ls7e_ard_3-1-0_110076_2019-10-17_final
2019-11-02 11:04:32	ga_ls7e_ard_3-1-0_110076_2019-11-02_final
2019-11-18 11:03:48	ga_ls7e_ard_3-1-0_110076_2019-11-18_final
2019-12-04 11:03:02	ga_ls7e_ard_3-1-0_110076_2019-12-04_final
2019-12-20 11:02:13	ga_ls7e_ard_3-1-0_110076_2019-12-20_final
2020-01-05 11:01:23	ga_ls7e_ard_3-1-0_110076_2020-01-05_final
2020-01-21 11:00:36	ga_ls7e_ard_3-1-0_110076_2020-01-21_final
2020-02-06 10:59:48	ga_ls7e_ard_3-1-0_110076_2020-02-06_final
2020-02-22 10:58:58	ga_ls7e_ard_3-1-0_110076_2020-02-22_final
2020-03-09 10:58:06	ga_ls7e_ard_3-1-0_110076_2020-03-09_final
2020-03-25 10:57:13	ga_ls7e_ard_3-1-0_110076_2020-03-25_final
2020-04-10 10:56:19	ga_ls7e_ard_3-1-0_110076_2020-04-10_final
2020-04-26 10:55:22	ga_ls7e_ard_3-1-0_110076_2020-04-26_final
2020-05-12 10:54:24	ga_ls7e_ard_3-1-0_110076_2020-05-12_final
2020-06-29 10:51:33	ga_ls7e_ard_3-1-0_110076_2020-06-29_final
2020-07-15 10:50:35	ga_ls7e_ard_3-1-0_110076_2020-07-15_final
2020-07-31 10:49:35	ga_ls7e_ard_3-1-0_110076_2020-07-31_final
2020-08-16 10:48:35	ga_ls7e_ard_3-1-0_110076_2020-08-16_final
2020-09-01 10:47:33	ga_ls7e_ard_3-1-0_110076_2020-09-01_final
2020-09-17 10:46:29	ga_ls7e_ard_3-1-0_110076_2020-09-17_final
2020-10-03 10:45:27	ga_ls7e_ard_3-1-0_110076_2020-10-03_final
2020-10-19 10:44:25	ga_ls7e_ard_3-1-0_110076_2020-10-19_final
2020-11-04 10:43:22	ga_ls7e_ard_3-1-0_110076_2020-11-04_final
2020-12-06 10:41:05	ga_ls7e_ard_3-1-0_110076_2020-12-06_final
2020-12-22 10:39:53	ga_ls7e_ard_3-1-0_110076_2020-12-22_final
2021-01-07 10:38:46	ga_ls7e_ard_3-1-0_110076_2021-01-07_final
2021-02-08 10:36:28	ga_ls7e_ard_3-2-0_110076_2021-02-08_final
2021-02-24 10:35:15	ga_ls7e_ard_3-2-0_110076_2021-02-24_final
2021-03-12 10:34:00	ga_ls7e_ard_3-2-0_110076_2021-03-12_final
2021-03-28 10:32:43	ga_ls7e_ard_3-2-0_110076_2021-03-28_final
2021-04-13 10:31:24	ga_ls7e_ard_3-2-0_110076_2021-04-13_final
2021-04-29 10:30:02	ga_ls7e_ard_3-2-0_110076_2021-04-29_final
2021-05-15 10:28:42	ga_ls7e_ard_3-2-0_110076_2021-05-15_final
2021-05-31 10:27:20	ga_ls7e_ard_3-2-0_110076_2021-05-31_final
2021-07-02 10:24:42	ga_ls7e_ard_3-2-0_110076_2021-07-02_final
2021-07-18 10:23:20	ga_ls7e_ard_3-2-0_110076_2021-07-18_final
2021-08-03 10:21:57	ga_ls7e_ard_3-2-0_110076_2021-08-03_final
2021-08-19 10:20:31	ga_ls7e_ard_3-2-0_110076_2021-08-19_final
2021-09-04 10:19:09	ga_ls7e_ard_3-2-0_110076_2021-09-04_final
2021-09-20 10:17:44	ga_ls7e_ard_3-2-0_110076_2021-09-20_final
2021-10-06 10:16:18	ga_ls7e_ard_3-2-0_110076_2021-10-06_final
2021-10-22 10:14:53	ga_ls7e_ard_3-2-0_110076_2021-10-22_final
2021-11-07 10:13:23	ga_ls7e_ard_3-2-0_110076_2021-11-07_final
2021-11-23 10:11:49	ga_ls7e_ard_3-2-1_110076_2021-11-23_final
2021-12-09 10:10:20	ga_ls7e_ard_3-2-1_110076_2021-12-09_final
2021-12-25 10:08:47	ga_ls7e_ard_3-2-1_110076_2021-12-25_final
2022-01-10 10:07:12	ga_ls7e_ard_3-2-1_110076_2022-01-10_final
2022-01-26 10:05:40	ga_ls7e_ard_3-2-1_110076_2022-01-26_final
2022-02-11 10:04:03	ga_ls7e_ard_3-2-1_110076_2022-02-11_final
2022-02-27 10:02:29	ga_ls7e_ard_3-2-1_110076_2022-02-27_final
2022-03-15 10:00:54	ga_ls7e_ard_3-2-1_110076_2022-03-15_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