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
1999-11-23 11:37:24	ga_ls7e_ard_3-0-0_114074_1999-11-23_final
1999-11-30 11:44:47	ga_ls7e_ard_3-1-0_115077_1999-11-30_final
2000-02-02 11:44:47	ga_ls7e_ard_3-0-0_115077_2000-02-02_final
2000-02-18 11:44:41	ga_ls7e_ard_3-0-0_115077_2000-02-18_final
2000-06-25 11:42:57	ga_ls7e_ard_3-0-0_115075_2000-06-25_final
2001-02-04 11:42:26	ga_ls7e_ard_3-1-0_115077_2001-02-04_final
2001-12-21 11:40:41	ga_ls7e_ard_3-1-0_115077_2001-12-21_final
2002-08-27 11:33:48	ga_ls7e_ard_3-0-0_114077_2002-08-27_final
2003-05-26 11:34:31	ga_ls7e_ard_3-0-0_114077_2003-05-26_final
2003-08-14 11:34:14	ga_ls7e_ard_3-0-0_114077_2003-08-14_final
2004-01-21 11:36:26	ga_ls7e_ard_3-0-0_114081_2004-01-21_final
2005-01-23 11:35:13	ga_ls7e_ard_3-0-0_114077_2005-01-23_final
2005-03-21 11:31:20	ga_ls7e_ard_3-0-0_113082_2005-03-21_final
2005-04-13 11:36:36	ga_ls7e_ard_3-0-0_114080_2005-04-13_final
2006-05-02 11:36:40	ga_ls7e_ard_3-0-0_114079_2006-05-02_final
2006-06-19 11:36:12	ga_ls7e_ard_3-0-0_114078_2006-06-19_final
2006-10-25 11:35:52	ga_ls7e_ard_3-0-0_114078_2006-10-25_final
2007-04-12 11:32:57	ga_ls7e_ard_3-0-0_113084_2007-04-12_final
2007-05-05 11:37:27	ga_ls7e_ard_3-0-0_114080_2007-05-05_final
2008-06-01 11:32:18	ga_ls7e_ard_3-0-0_113084_2008-06-01_final
2008-09-19 11:40:05	ga_ls7e_ard_3-0-0_115075_2008-09-19_final
2008-10-30 11:33:57	ga_ls7e_ard_3-0-0_114075_2008-10-30_final
2009-09-22 11:41:45	ga_ls7e_ard_3-0-0_115076_2009-09-22_final
2010-09-18 11:37:43	ga_ls7e_ard_3-0-0_114076_2010-09-18_final
2010-12-23 11:38:54	ga_ls7e_ard_3-0-0_114077_2010-12-23_final
2011-05-07 11:45:37	ga_ls7e_ard_3-1-0_115077_2011-05-07_final
2011-12-17 11:45:50	ga_ls7e_ard_3-1-0_115077_2011-12-17_final
2012-01-11 11:40:39	ga_ls7e_ard_3-0-0_114079_2012-01-11_final
2012-05-02 11:39:30	ga_ls7e_ard_3-0-0_114075_2012-05-02_final
2012-10-09 11:41:52	ga_ls7e_ard_3-0-0_114078_2012-10-09_final
2013-05-14 11:38:19	ga_ls7e_ard_3-0-0_113084_2013-05-14_final
2013-06-15 11:38:06	ga_ls7e_ard_3-0-0_113084_2013-06-15_final
2013-07-17 11:37:49	ga_ls7e_ard_3-0-0_113084_2013-07-17_final
2013-08-09 11:39:49	ga_ls7e_ard_3-0-0_114074_2013-08-09_final
2013-09-26 11:40:46	ga_ls7e_ard_3-0-0_114075_2013-09-26_final
2014-11-07 11:49:26	ga_ls7e_ard_3-0-0_115075_2014-11-07_final
2014-12-18 11:43:32	ga_ls7e_ard_3-0-0_114075_2014-12-18_final
2015-02-04 11:43:19	ga_ls7e_ard_3-0-0_114074_2015-02-04_final
2015-06-28 11:44:39	ga_ls7e_ard_3-0-0_114075_2015-06-28_final
2015-08-22 11:51:03	ga_ls7e_ard_3-0-0_115075_2015-08-22_final
2016-02-14 11:53:29	ga_ls7e_ard_3-0-0_115076_2016-02-14_final
2016-11-05 11:48:27	ga_ls7e_ard_3-0-0_114077_2016-11-05_final
2016-12-07 11:47:54	ga_ls7e_ard_3-0-0_114076_2016-12-07_final
2017-07-19 11:47:41	ga_ls7e_ard_3-0-0_114075_2017-07-19_final
2017-09-28 11:54:36	ga_ls7e_ard_3-1-0_115077_2017-09-28_final
2018-02-05 11:44:04	ga_ls7e_ard_3-0-0_113084_2018-02-05_final
2018-07-13 11:50:46	ga_ls7e_ard_3-0-0_115076_2018-07-13_final
2018-11-27 11:40:50	ga_ls7e_ard_3-0-0_114074_2018-11-27_final
2019-10-20 11:36:00	ga_ls7e_ard_3-1-0_115076_2019-10-20_final
2019-12-16 11:28:45	ga_ls7e_ard_3-1-0_114080_2019-12-16_final
2020-12-15 10:35:02	ga_ls7e_ard_3-1-0_109078_2020-12-15_final
2021-01-19 09:24:58	ga_ls7e_ard_3-1-0_098079_2021-01-18_final
2021-01-19 09:26:57	ga_ls7e_ard_3-1-0_098084_2021-01-18_final
2021-01-21 10:50:08	ga_ls7e_ard_3-2-0_112076_2021-01-21_final
2021-01-23 09:03:09	ga_ls7e_ard_3-2-0_094087_2021-01-22_final
2021-02-22 10:50:33	ga_ls7e_ard_3-2-0_112083_2021-02-22_final
2021-02-23 09:52:28	ga_ls7e_ard_3-2-0_103077_2021-02-23_final
2021-03-05 08:51:06	ga_ls7e_ard_3-2-0_093080_2021-03-04_final
2021-03-07 10:15:28	ga_ls7e_ard_3-2-0_107075_2021-03-07_final
2021-03-12 08:59:31	ga_ls7e_ard_3-2-0_094087_2021-03-11_final
2021-03-17 10:53:21	ga_ls7e_ard_3-2-0_113079_2021-03-17_final
2021-03-31 11:03:46	ga_ls7e_ard_3-2-0_115077_2021-03-31_final
2021-04-01 08:31:35	ga_ls7e_ard_3-2-0_090083_2021-03-31_final
2021-04-13 08:54:31	ga_ls7e_ard_3-2-0_094081_2021-04-12_final
2021-04-22 10:22:52	ga_ls7e_ard_3-2-0_109072_2021-04-22_final
2021-05-10 08:37:18	ga_ls7e_ard_3-2-0_091090_2021-05-09_final
2021-05-11 10:53:22	ga_ls7e_ard_3-2-0_114075_2021-05-11_final
2021-05-20 09:09:08	ga_ls7e_ard_3-2-0_097079_2021-05-19_final
2021-06-10 09:23:31	ga_ls7e_ard_3-2-0_100073_2021-06-09_final
2021-06-16 08:48:45	ga_ls7e_ard_3-2-0_094080_2021-06-15_final
2021-06-18 08:35:49	ga_ls7e_ard_3-2-0_092079_2021-06-17_final
2021-06-19 09:17:24	ga_ls7e_ard_3-2-0_099075_2021-06-18_final
2021-07-08 09:44:19	ga_ls7e_ard_3-2-0_104069_2021-07-08_final
2021-07-08 09:45:07	ga_ls7e_ard_3-2-0_104071_2021-07-08_final
2021-07-20 10:09:37	ga_ls7e_ard_3-2-0_108073_2021-07-20_final
2021-07-27 08:36:42	ga_ls7e_ard_3-2-0_093074_2021-07-26_final
2021-08-03 08:39:29	ga_ls7e_ard_3-2-0_094067_2021-08-02_final
2021-08-10 08:50:13	ga_ls7e_ard_3-2-0_095080_2021-08-09_final
2021-08-22 09:14:17	ga_ls7e_ard_3-2-0_099081_2021-08-21_final
2021-09-02 08:53:36	ga_ls7e_ard_3-2-0_096078_2021-09-01_final
2021-09-04 10:19:33	ga_ls7e_ard_3-2-0_110077_2021-09-04_final
2021-09-12 09:28:36	ga_ls7e_ard_3-2-0_102075_2021-09-11_final
2021-09-21 09:21:13	ga_ls7e_ard_3-2-0_101074_2021-09-20_final
2021-09-29 08:31:04	ga_ls7e_ard_3-2-0_093074_2021-09-28_final
2021-10-05 09:32:20	ga_ls7e_ard_3-2-0_103074_2021-10-05_final
2021-10-15 10:06:56	ga_ls7e_ard_3-2-0_109070_2021-10-15_final
2021-10-18 10:39:10	ga_ls7e_ard_3-2-0_114074_2021-10-18_final
2021-10-29 08:42:20	ga_ls7e_ard_3-2-0_095078_2021-10-28_final
2021-11-01 09:13:45	ga_ls7e_ard_3-2-0_100080_2021-10-31_final
2021-12-08 09:28:46	ga_ls7e_ard_3-2-1_103080_2021-12-07_final
2021-12-10 09:14:13	ga_ls7e_ard_3-2-1_101075_2021-12-09_final
2022-01-02 09:16:56	ga_ls7e_ard_3-2-1_102072_2022-01-01_final
2022-01-26 10:06:04	ga_ls7e_ard_3-2-1_110077_2022-01-26_final
2022-01-29 10:35:28	ga_ls7e_ard_3-2-1_115074_2022-01-29_final
2022-02-06 08:12:44	ga_ls7e_ard_3-2-1_091090_2022-02-05_final
2022-02-09 08:39:44	ga_ls7e_ard_3-2-1_096081_2022-02-08_final
2022-02-23 08:50:18	ga_ls7e_ard_3-2-1_098080_2022-02-22_final
2022-02-23 10:26:47	ga_ls7e_ard_3-2-1_114074_2022-02-23_final
2022-02-27 10:02:05	ga_ls7e_ard_3-2-1_110075_2022-02-27_final
2022-03-11 10:27:13	ga_ls7e_ard_3-2-1_114079_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years