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
1999-10-07 10:41:39	ga_ls7e_ard_3-1-0_105073_1999-10-07_final
2000-02-12 10:41:20	ga_ls7e_ard_3-0-0_105073_2000-02-12_final
2000-05-02 10:40:53	ga_ls7e_ard_3-0-0_105073_2000-05-02_final
2000-06-03 10:40:30	ga_ls7e_ard_3-0-0_105073_2000-06-03_final
2000-07-05 10:40:13	ga_ls7e_ard_3-0-0_105073_2000-07-05_final
2000-09-07 10:39:21	ga_ls7e_ard_3-0-0_105073_2000-09-07_final
2000-11-10 10:38:56	ga_ls7e_ard_3-0-0_105073_2000-11-10_final
2000-12-28 10:39:03	ga_ls7e_ard_3-0-0_105073_2000-12-28_final
2001-06-06 10:38:15	ga_ls7e_ard_3-0-0_105073_2001-06-06_final
2002-07-27 10:36:51	ga_ls7e_ard_3-1-0_105073_2002-07-27_final
2002-08-28 10:36:34	ga_ls7e_ard_3-1-0_105073_2002-08-28_final
2002-09-13 10:36:30	ga_ls7e_ard_3-1-0_105073_2002-09-13_final
2002-11-16 10:36:35	ga_ls7e_ard_3-1-0_105073_2002-11-16_final
2002-12-18 10:36:51	ga_ls7e_ard_3-1-0_105073_2002-12-18_final
2004-11-05 10:37:30	ga_ls7e_ard_3-0-0_105073_2004-11-05_final
2005-03-29 10:38:16	ga_ls7e_ard_3-0-0_105073_2005-03-29_final
2006-02-28 10:38:42	ga_ls7e_ard_3-0-0_105073_2006-02-28_final
2007-01-30 10:38:56	ga_ls7e_ard_3-0-0_105073_2007-01-30_final
2007-07-09 10:38:49	ga_ls7e_ard_3-0-0_105073_2007-07-09_final
2007-12-16 10:38:55	ga_ls7e_ard_3-0-0_105073_2007-12-16_final
2008-09-29 10:37:22	ga_ls7e_ard_3-0-0_105073_2008-09-29_final
2008-12-18 10:38:07	ga_ls7e_ard_3-0-0_105073_2008-12-18_final
2009-07-14 10:38:56	ga_ls7e_ard_3-0-0_105073_2009-07-14_final
2011-01-09 10:41:51	ga_ls7e_ard_3-0-0_105073_2011-01-09_final
2012-02-29 10:42:44	ga_ls7e_ard_3-0-0_105073_2012-02-29_final
2012-10-10 10:44:15	ga_ls7e_ard_3-0-0_105073_2012-10-10_final
2012-10-26 10:44:26	ga_ls7e_ard_3-0-0_105073_2012-10-26_final
2012-11-11 10:44:30	ga_ls7e_ard_3-0-0_105073_2012-11-11_final
2012-11-27 10:44:36	ga_ls7e_ard_3-0-0_105073_2012-11-27_final
2014-05-09 10:45:51	ga_ls7e_ard_3-0-0_105073_2014-05-09_final
2014-08-29 10:46:13	ga_ls7e_ard_3-0-0_105073_2014-08-29_final
2014-10-16 10:46:35	ga_ls7e_ard_3-0-0_105073_2014-10-16_final
2015-08-16 10:48:27	ga_ls7e_ard_3-0-0_105073_2015-08-16_final
2017-03-30 10:50:51	ga_ls7e_ard_3-0-0_105073_2017-03-30_final
2017-04-15 10:50:57	ga_ls7e_ard_3-0-0_105073_2017-04-15_final
2017-07-04 10:51:16	ga_ls7e_ard_3-0-0_105073_2017-07-04_final
2017-07-20 10:51:16	ga_ls7e_ard_3-0-0_105073_2017-07-20_final
2017-11-09 10:51:13	ga_ls7e_ard_3-0-0_105073_2017-11-09_final
2018-01-12 10:50:37	ga_ls7e_ard_3-0-0_105073_2018-01-12_final
2018-03-01 10:49:59	ga_ls7e_ard_3-0-0_105073_2018-03-01_final
2018-04-18 10:49:18	ga_ls7e_ard_3-0-0_105073_2018-04-18_final
2018-07-23 10:47:36	ga_ls7e_ard_3-0-0_105073_2018-07-23_final
2018-09-09 10:46:40	ga_ls7e_ard_3-0-0_105073_2018-09-09_final
2018-11-28 10:44:48	ga_ls7e_ard_3-0-0_105073_2018-11-28_final
2018-12-30 10:43:54	ga_ls7e_ard_3-0-0_105073_2018-12-30_final
2019-02-16 10:42:24	ga_ls7e_ard_3-1-0_105073_2019-02-16_final
2019-03-04 10:41:55	ga_ls7e_ard_3-1-0_105073_2019-03-04_final
2019-03-20 10:41:23	ga_ls7e_ard_3-1-0_105073_2019-03-20_final
2019-08-27 10:35:19	ga_ls7e_ard_3-1-0_105073_2019-08-27_final
2019-09-12 10:34:37	ga_ls7e_ard_3-1-0_105073_2019-09-12_final
2019-09-28 10:33:55	ga_ls7e_ard_3-1-0_105073_2019-09-28_final
2019-10-14 10:33:16	ga_ls7e_ard_3-1-0_105073_2019-10-14_final
2019-10-30 10:32:34	ga_ls7e_ard_3-1-0_105073_2019-10-30_final
2019-11-15 10:31:50	ga_ls7e_ard_3-1-0_105073_2019-11-15_final
2019-12-01 10:31:05	ga_ls7e_ard_3-1-0_105073_2019-12-01_final
2019-12-17 10:30:17	ga_ls7e_ard_3-1-0_105073_2019-12-17_final
2020-01-02 10:29:27	ga_ls7e_ard_3-1-0_105073_2020-01-02_final
2020-01-18 10:28:39	ga_ls7e_ard_3-1-0_105073_2020-01-18_final
2020-02-19 10:27:01	ga_ls7e_ard_3-1-0_105073_2020-02-19_final
2020-03-06 10:26:10	ga_ls7e_ard_3-1-0_105073_2020-03-06_final
2020-03-22 10:25:17	ga_ls7e_ard_3-1-0_105073_2020-03-22_final
2020-04-07 10:24:23	ga_ls7e_ard_3-1-0_105073_2020-04-07_final
2020-04-23 10:23:27	ga_ls7e_ard_3-1-0_105073_2020-04-23_final
2020-05-09 10:22:29	ga_ls7e_ard_3-1-0_105073_2020-05-09_final
2020-06-26 10:19:38	ga_ls7e_ard_3-1-0_105073_2020-06-26_final
2020-07-12 10:18:40	ga_ls7e_ard_3-1-0_105073_2020-07-12_final
2020-07-28 10:17:41	ga_ls7e_ard_3-1-0_105073_2020-07-28_final
2020-08-13 10:16:40	ga_ls7e_ard_3-1-0_105073_2020-08-13_final
2020-08-29 10:15:39	ga_ls7e_ard_3-1-0_105073_2020-08-29_final
2020-09-14 10:14:35	ga_ls7e_ard_3-1-0_105073_2020-09-14_final
2020-09-30 10:13:33	ga_ls7e_ard_3-1-0_105073_2020-09-30_final
2020-10-16 10:12:31	ga_ls7e_ard_3-1-0_105073_2020-10-16_final
2020-11-01 10:11:28	ga_ls7e_ard_3-1-0_105073_2020-11-01_final
2020-12-03 10:09:13	ga_ls7e_ard_3-1-0_105073_2020-12-03_final
2021-01-04 10:06:53	ga_ls7e_ard_3-1-0_105073_2021-01-04_final
2021-02-21 10:03:23	ga_ls7e_ard_3-2-0_105073_2021-02-21_final
2021-03-09 10:02:09	ga_ls7e_ard_3-2-0_105073_2021-03-09_final
2021-03-25 10:00:52	ga_ls7e_ard_3-2-0_105073_2021-03-25_final
2021-04-10 09:59:33	ga_ls7e_ard_3-2-0_105073_2021-04-10_final
2021-04-26 09:58:12	ga_ls7e_ard_3-2-0_105073_2021-04-26_final
2021-05-12 09:56:52	ga_ls7e_ard_3-2-0_105073_2021-05-12_final
2021-05-28 09:55:30	ga_ls7e_ard_3-2-0_105073_2021-05-28_final
2021-06-13 09:54:11	ga_ls7e_ard_3-2-0_105073_2021-06-13_final
2021-06-29 09:52:51	ga_ls7e_ard_3-2-0_105073_2021-06-29_final
2021-07-15 09:51:30	ga_ls7e_ard_3-2-0_105073_2021-07-15_final
2021-07-31 09:50:07	ga_ls7e_ard_3-2-0_105073_2021-07-31_final
2021-08-16 09:48:41	ga_ls7e_ard_3-2-0_105073_2021-08-16_final
2021-09-01 09:47:19	ga_ls7e_ard_3-2-0_105073_2021-09-01_final
2021-09-17 09:45:54	ga_ls7e_ard_3-2-0_105073_2021-09-17_final
2021-10-03 09:44:28	ga_ls7e_ard_3-2-0_105073_2021-10-03_final
2021-10-19 09:43:03	ga_ls7e_ard_3-2-0_105073_2021-10-19_final
2021-11-04 09:41:35	ga_ls7e_ard_3-2-0_105073_2021-11-04_final
2021-11-20 09:40:01	ga_ls7e_ard_3-2-1_105073_2021-11-20_final
2021-12-06 09:38:31	ga_ls7e_ard_3-2-1_105073_2021-12-06_final
2021-12-22 09:36:59	ga_ls7e_ard_3-2-1_105073_2021-12-22_final
2022-01-07 09:35:23	ga_ls7e_ard_3-2-1_105073_2022-01-07_final
2022-01-23 09:33:52	ga_ls7e_ard_3-2-1_105073_2022-01-23_final
2022-02-08 09:32:16	ga_ls7e_ard_3-2-1_105073_2022-02-08_final
2022-02-24 09:30:40	ga_ls7e_ard_3-2-1_105073_2022-02-24_final
2022-03-12 09:29:06	ga_ls7e_ard_3-2-1_105073_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