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
1999-09-15 09:43:13	ga_ls7e_ard_3-0-0_095082_1999-09-15_final
1999-12-20 09:37:20	ga_ls7e_ard_3-0-0_095067_1999-12-20_final
2000-03-05 11:44:36	ga_ls7e_ard_3-0-0_115077_2000-03-05_final
2004-02-13 11:40:19	ga_ls7e_ard_3-0-0_115075_2004-02-13_final
2004-02-17 09:40:42	ga_ls7e_ard_3-0-0_095085_2004-02-17_final
2004-05-23 09:35:59	ga_ls7e_ard_3-1-0_095073_2004-05-23_final
2004-06-08 09:40:40	ga_ls7e_ard_3-0-0_095085_2004-06-08_final
2005-05-10 09:40:48	ga_ls7e_ard_3-0-0_095084_2005-05-10_final
2005-06-27 09:39:24	ga_ls7e_ard_3-0-0_095081_2005-06-27_final
2005-07-29 09:41:00	ga_ls7e_ard_3-0-0_095085_2005-07-29_final
2005-08-19 11:36:43	ga_ls7e_ard_3-0-0_114081_2005-08-19_final
2005-09-27 11:39:53	ga_ls7e_ard_3-0-0_115074_2005-09-27_final
2005-12-02 11:31:38	ga_ls7e_ard_3-0-0_113083_2005-12-02_final
2006-09-07 11:34:37	ga_ls7e_ard_3-0-0_114075_2006-09-07_final
2006-09-14 11:41:33	ga_ls7e_ard_3-0-0_115077_2006-09-14_final
2006-10-16 11:40:18	ga_ls7e_ard_3-0-0_115074_2006-10-16_final
2007-01-24 09:37:52	ga_ls7e_ard_3-0-0_095075_2007-01-24_final
2007-03-29 09:41:20	ga_ls7e_ard_3-0-0_095083_2007-03-29_final
2007-08-16 11:41:14	ga_ls7e_ard_3-0-0_115075_2007-08-16_final
2007-12-31 11:35:22	ga_ls7e_ard_3-0-0_114075_2007-12-31_final
2008-02-12 09:42:41	ga_ls7e_ard_3-0-0_095087_2008-02-12_final
2008-06-19 09:36:30	ga_ls7e_ard_3-1-0_095073_2008-06-19_final
2008-09-19 11:41:16	ga_ls7e_ard_3-0-0_115078_2008-09-19_final
2008-09-23 09:38:02	ga_ls7e_ard_3-1-0_095079_2008-09-23_final
2008-12-24 11:40:46	ga_ls7e_ard_3-0-0_115075_2008-12-24_final
2009-03-23 11:36:26	ga_ls7e_ard_3-0-0_114078_2009-03-23_final
2009-04-01 11:31:30	ga_ls7e_ard_3-0-0_113081_2009-04-01_final
2009-08-07 11:31:26	ga_ls7e_ard_3-0-0_113081_2009-08-07_final
2009-08-25 09:40:34	ga_ls7e_ard_3-0-0_095082_2009-08-25_final
2009-12-15 09:41:23	ga_ls7e_ard_3-0-0_095082_2009-12-15_final
2010-02-15 11:33:57	ga_ls7e_ard_3-0-0_113083_2010-02-15_final
2010-04-18 11:43:01	ga_ls7e_ard_3-0-0_115074_2010-04-18_final
2010-04-27 11:36:49	ga_ls7e_ard_3-0-0_114074_2010-04-27_final
2010-09-09 11:44:41	ga_ls7e_ard_3-0-0_115078_2010-09-09_final
2010-09-18 11:37:19	ga_ls7e_ard_3-0-0_114075_2010-09-18_final
2010-12-23 11:38:54	ga_ls7e_ard_3-0-0_114077_2010-12-23_final
2011-02-20 09:44:40	ga_ls7e_ard_3-0-0_095084_2011-02-20_final
2011-03-20 11:44:22	ga_ls7e_ard_3-0-0_115074_2011-03-20_final
2011-04-30 11:41:02	ga_ls7e_ard_3-0-0_114081_2011-04-30_final
2011-07-14 09:41:31	ga_ls7e_ard_3-0-0_095076_2011-07-14_final
2011-08-04 11:39:16	ga_ls7e_ard_3-0-0_114077_2011-08-04_final
2012-03-24 11:35:46	ga_ls7e_ard_3-0-0_113082_2012-03-24_final
2012-08-01 09:41:20	ga_ls7e_ard_3-0-0_095072_2012-08-01_final
2013-07-24 11:42:20	ga_ls7e_ard_3-0-0_114080_2013-07-24_final
2013-10-21 11:38:05	ga_ls7e_ard_3-0-0_113083_2013-10-21_final
2013-12-15 11:42:09	ga_ls7e_ard_3-0-0_114077_2013-12-15_final
2014-10-15 11:43:24	ga_ls7e_ard_3-0-0_114076_2014-10-15_final
2014-10-22 11:48:53	ga_ls7e_ard_3-0-0_115074_2014-10-22_final
2014-11-27 09:45:31	ga_ls7e_ard_3-0-0_095074_2014-11-27_final
2015-11-03 11:47:06	ga_ls7e_ard_3-0-0_114079_2015-11-03_final
2016-04-27 11:48:34	ga_ls7e_ard_3-0-0_114078_2016-04-27_final
2016-05-04 11:54:47	ga_ls7e_ard_3-0-0_115078_2016-05-04_final
2016-05-24 09:49:39	ga_ls7e_ard_3-0-0_095074_2016-05-24_final
2016-08-28 09:55:04	ga_ls7e_ard_3-0-0_095087_2016-08-28_final
2017-01-24 11:48:16	ga_ls7e_ard_3-0-0_114078_2017-01-24_final
2017-05-23 11:53:43	ga_ls7e_ard_3-0-0_115075_2017-05-23_final
2018-08-02 09:49:13	ga_ls7e_ard_3-0-0_095082_2018-08-02_final
2018-10-01 11:48:45	ga_ls7e_ard_3-0-0_115075_2018-10-01_final
2018-12-29 11:41:32	ga_ls7e_ard_3-0-0_114078_2018-12-29_final
2019-03-19 11:39:26	ga_ls7e_ard_3-1-0_114079_2019-03-19_final
2019-04-13 11:34:23	ga_ls7e_ard_3-0-0_113084_2019-04-13_final
2019-09-18 11:38:09	ga_ls7e_ard_3-1-0_115078_2019-09-18_final
2019-10-22 11:26:21	ga_ls7e_ard_3-1-0_113083_2019-10-22_final
2020-01-24 11:32:33	ga_ls7e_ard_3-1-0_115079_2020-01-24_final
2020-03-05 11:22:15	ga_ls7e_ard_3-1-0_114074_2020-03-05_final
2020-07-06 09:16:50	ga_ls7e_ard_3-1-0_095072_2020-07-05_final
2021-03-09 10:03:20	ga_ls7e_ard_3-2-0_105076_2021-03-09_final
2021-03-30 08:43:43	ga_ls7e_ard_3-2-0_092082_2021-03-29_final
2021-04-05 09:44:37	ga_ls7e_ard_3-2-0_102081_2021-04-05_final
2021-04-15 10:22:04	ga_ls7e_ard_3-2-0_108084_2021-04-15_final
2021-04-29 10:28:27	ga_ls7e_ard_3-2-0_110072_2021-04-29_final
2021-05-11 09:16:29	ga_ls7e_ard_3-2-0_098080_2021-05-10_final
2021-05-17 08:40:30	ga_ls7e_ard_3-2-0_092084_2021-05-16_final
2021-06-03 09:17:06	ga_ls7e_ard_3-2-0_099071_2021-06-02_final
2021-06-14 08:59:40	ga_ls7e_ard_3-2-0_096076_2021-06-13_final
2021-07-18 08:43:16	ga_ls7e_ard_3-2-0_094073_2021-07-17_final
2021-07-21 09:11:31	ga_ls7e_ard_3-2-0_099067_2021-07-20_final
2021-07-23 09:03:22	ga_ls7e_ard_3-2-0_097078_2021-07-22_final
2021-08-27 09:27:12	ga_ls7e_ard_3-2-0_102068_2021-08-26_final
2021-08-30 10:03:50	ga_ls7e_ard_3-2-0_107083_2021-08-30_final
2021-09-03 09:36:46	ga_ls7e_ard_3-2-0_103078_2021-09-03_final
2021-09-08 09:56:52	ga_ls7e_ard_3-2-0_106083_2021-09-08_final
2021-09-16 09:05:07	ga_ls7e_ard_3-2-0_098079_2021-09-15_final
2021-10-02 09:03:18	ga_ls7e_ard_3-2-0_098078_2021-10-01_final
2021-10-04 10:30:26	ga_ls7e_ard_3-2-0_112080_2021-10-04_final
2021-10-08 08:27:17	ga_ls7e_ard_3-2-0_092082_2021-10-07_final
2021-10-09 10:48:08	ga_ls7e_ard_3-2-0_115079_2021-10-09_final
2021-11-09 08:26:21	ga_ls7e_ard_3-2-0_092087_2021-11-08_final
2021-11-15 09:21:59	ga_ls7e_ard_3-2-1_102073_2021-11-14_final
2021-11-18 09:52:59	ga_ls7e_ard_3-2-1_107074_2021-11-18_final
2021-11-28 08:51:49	ga_ls7e_ard_3-2-1_097078_2021-11-27_final
2021-11-29 09:33:23	ga_ls7e_ard_3-2-1_104074_2021-11-29_final
2021-12-11 09:56:11	ga_ls7e_ard_3-2-1_108072_2021-12-11_final
2021-12-12 10:41:20	ga_ls7e_ard_3-2-1_115077_2021-12-12_final
2021-12-27 09:53:49	ga_ls7e_ard_3-2-1_108070_2021-12-27_final
2022-01-12 09:55:27	ga_ls7e_ard_3-2-1_108078_2022-01-12_final
2022-01-24 08:41:44	ga_ls7e_ard_3-2-1_096082_2022-01-23_final
2022-01-26 08:29:35	ga_ls7e_ard_3-2-1_094083_2022-01-25_final
2022-03-02 08:55:01	ga_ls7e_ard_3-2-1_099078_2022-03-01_final
2022-04-02 08:11:07	ga_ls7e_ard_3-2-1_092084_2022-04-01_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