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
1999-10-17 09:39:45	ga_ls7e_ard_3-1-0_095073_1999-10-17_final
1999-10-17 11:18:38	ga_ls7e_ard_3-0-0_111073_1999-10-17_final
1999-11-14 11:44:54	ga_ls7e_ard_3-1-0_115077_1999-11-14_final
2000-04-22 11:44:42	ga_ls7e_ard_3-0-0_115078_2000-04-22_final
2000-06-13 09:44:15	ga_ls7e_ard_3-0-0_095087_2000-06-13_final
2001-07-09 11:18:50	ga_ls7e_ard_3-0-0_112067_2001-07-09_final
2001-11-30 11:20:48	ga_ls7e_ard_3-0-0_112074_2001-11-30_final
2001-12-14 11:36:05	ga_ls7e_ard_3-0-0_114081_2001-12-14_final
2002-04-28 11:40:49	ga_ls7e_ard_3-0-0_115077_2002-04-28_final
2003-01-27 11:26:57	ga_ls7e_ard_3-0-0_113074_2003-01-27_final
2003-03-07 11:30:35	ga_ls7e_ard_3-0-0_114067_2003-03-07_final
2003-10-24 11:39:33	ga_ls7e_ard_3-0-0_115075_2003-10-24_final
2004-03-16 11:42:04	ga_ls7e_ard_3-0-0_115079_2004-03-16_final
2004-10-30 09:35:38	ga_ls7e_ard_3-1-0_095073_2004-10-30_final
2004-11-29 11:27:32	ga_ls7e_ard_3-0-0_113074_2004-11-29_final
2004-12-13 11:41:35	ga_ls7e_ard_3-0-0_115078_2004-12-13_final
2004-12-17 11:15:18	ga_ls7e_ard_3-0-0_111074_2004-12-17_final
2005-02-17 11:32:03	ga_ls7e_ard_3-0-0_113084_2005-02-17_final
2005-07-11 11:27:52	ga_ls7e_ard_3-0-0_113074_2005-07-11_final
2006-01-10 11:35:16	ga_ls7e_ard_3-0-0_114076_2006-01-10_final
2006-01-28 11:19:27	ga_ls7e_ard_3-0-0_112067_2006-01-28_final
2006-02-06 09:36:49	ga_ls7e_ard_3-1-0_095073_2006-02-06_final
2006-02-13 11:22:43	ga_ls7e_ard_3-0-0_112075_2006-02-13_final
2006-06-10 11:42:25	ga_ls7e_ard_3-0-0_115078_2006-06-10_final
2006-09-30 11:41:50	ga_ls7e_ard_3-0-0_115078_2006-09-30_final
2006-12-19 11:42:59	ga_ls7e_ard_3-0-0_115079_2006-12-19_final
2007-06-15 11:32:42	ga_ls7e_ard_3-0-0_113084_2007-06-15_final
2007-08-18 11:25:40	ga_ls7e_ard_3-0-0_113067_2007-08-18_final
2007-10-07 09:41:40	ga_ls7e_ard_3-0-0_095086_2007-10-07_final
2007-11-13 11:31:56	ga_ls7e_ard_3-0-0_114067_2007-11-13_final
2007-11-13 11:37:07	ga_ls7e_ard_3-0-0_114080_2007-11-13_final
2008-01-23 11:41:33	ga_ls7e_ard_3-0-0_115075_2008-01-23_final
2008-04-23 11:25:58	ga_ls7e_ard_3-0-0_112083_2008-04-23_final
2008-05-18 11:15:40	ga_ls7e_ard_3-0-0_111073_2008-05-18_final
2008-09-07 11:19:03	ga_ls7e_ard_3-0-0_111084_2008-09-07_final
2009-07-04 11:41:59	ga_ls7e_ard_3-0-0_115076_2009-07-04_final
2009-08-09 11:15:04	ga_ls7e_ard_3-0-0_111071_2009-08-09_final
2009-09-24 11:28:35	ga_ls7e_ard_3-0-0_113074_2009-09-24_final
2010-02-13 11:44:41	ga_ls7e_ard_3-0-0_115079_2010-02-13_final
2010-04-06 11:17:30	ga_ls7e_ard_3-0-0_111072_2010-04-06_final
2010-12-14 11:45:49	ga_ls7e_ard_3-0-0_115079_2010-12-14_final
2011-07-29 09:00:36	ga_ls7e_ard_3-0-0_088082_2011-07-28_final
2011-12-17 11:44:38	ga_ls7e_ard_3-0-0_115074_2011-12-17_final
2011-12-21 11:19:35	ga_ls7e_ard_3-0-0_111073_2011-12-21_final
2012-02-19 11:46:56	ga_ls7e_ard_3-0-0_115079_2012-02-19_final
2012-09-18 11:25:31	ga_ls7e_ard_3-0-0_111084_2012-09-18_final
2013-07-19 11:20:15	ga_ls7e_ard_3-0-0_111071_2013-07-19_final
2014-06-03 09:04:08	ga_ls7e_ard_3-0-0_088081_2014-06-02_final
2014-10-17 11:33:52	ga_ls7e_ard_3-0-0_112083_2014-10-17_final
2015-08-22 11:52:15	ga_ls7e_ard_3-0-0_115078_2015-08-22_final
2016-02-14 11:52:41	ga_ls7e_ard_3-0-0_115074_2016-02-14_final
2016-04-29 11:34:37	ga_ls7e_ard_3-1-0_112074_2016-04-29_final
2016-05-29 11:49:30	ga_ls7e_ard_3-0-0_114080_2016-05-29_final
2016-09-13 11:27:36	ga_ls7e_ard_3-0-0_111071_2016-09-13_final
2017-03-08 09:46:32	ga_ls7e_ard_3-0-0_095067_2017-03-08_final
2018-01-20 11:43:08	ga_ls7e_ard_3-0-0_113081_2018-01-20_final
2018-05-28 11:42:04	ga_ls7e_ard_3-0-0_113083_2018-05-28_final
2018-12-20 11:48:23	ga_ls7e_ard_3-0-0_115079_2018-12-20_final
2019-02-24 11:32:00	ga_ls7e_ard_3-1-0_113074_2019-02-24_final
2019-06-09 11:25:18	ga_ls7e_ard_3-0-0_112082_2019-06-09_final
2019-08-03 11:23:22	ga_ls7e_ard_3-0-0_113067_2019-08-03_final
2019-09-18 11:38:09	ga_ls7e_ard_3-1-0_115078_2019-09-18_final
2019-10-24 09:28:38	ga_ls7e_ard_3-1-0_095067_2019-10-23_final
2019-11-14 11:25:07	ga_ls7e_ard_3-1-0_114067_2019-11-14_final
2019-11-25 09:29:34	ga_ls7e_ard_3-1-0_095073_2019-11-24_final
2020-01-08 11:31:44	ga_ls7e_ard_3-1-0_115075_2020-01-08_final
2020-02-09 11:31:20	ga_ls7e_ard_3-1-0_115078_2020-02-09_final
2020-05-19 09:17:41	ga_ls7e_ard_3-1-0_095067_2020-05-18_final
2020-06-04 09:24:18	ga_ls7e_ard_3-1-0_095086_2020-06-03_final
2020-11-11 10:48:16	ga_ls7e_ard_3-1-0_111074_2020-11-11_final
2021-03-10 09:09:14	ga_ls7e_ard_3-2-0_096080_2021-03-09_final
2021-03-11 09:49:14	ga_ls7e_ard_3-2-0_103072_2021-03-11_final
2021-03-13 09:41:06	ga_ls7e_ard_3-2-0_101083_2021-03-13_final
2021-03-16 08:31:41	ga_ls7e_ard_3-2-0_090080_2021-03-15_final
2021-03-28 08:55:26	ga_ls7e_ard_3-2-0_094080_2021-03-27_final
2021-04-16 09:25:58	ga_ls7e_ard_3-2-0_099083_2021-04-15_final
2021-04-26 09:56:12	ga_ls7e_ard_3-2-0_105068_2021-04-26_final
2021-06-11 08:31:25	ga_ls7e_ard_3-2-0_091082_2021-06-10_final
2021-06-23 10:29:38	ga_ls7e_ard_3-2-0_111071_2021-06-23_final
2021-06-23 10:34:26	ga_ls7e_ard_3-2-0_111083_2021-06-23_final
2021-07-21 10:54:47	ga_ls7e_ard_3-2-0_115078_2021-07-21_final
2021-07-31 09:50:55	ga_ls7e_ard_3-2-0_105075_2021-07-31_final
2021-08-09 09:43:08	ga_ls7e_ard_3-2-0_104073_2021-08-09_final
2021-10-22 08:34:48	ga_ls7e_ard_3-2-0_094073_2021-10-21_final
2021-11-03 10:34:54	ga_ls7e_ard_3-2-0_114067_2021-11-03_final
2021-11-09 09:58:27	ga_ls7e_ard_3-2-0_108070_2021-11-09_final
2021-12-06 09:39:19	ga_ls7e_ard_3-2-1_105075_2021-12-06_final
2021-12-27 09:53:49	ga_ls7e_ard_3-2-1_108070_2021-12-27_final
2021-12-29 09:44:27	ga_ls7e_ard_3-2-1_106078_2021-12-29_final
2022-01-03 09:59:41	ga_ls7e_ard_3-2-1_109071_2022-01-03_final
2022-01-10 08:27:31	ga_ls7e_ard_3-2-1_094074_2022-01-09_final
2022-01-17 08:32:15	ga_ls7e_ard_3-2-1_095072_2022-01-16_final
2022-01-22 08:49:54	ga_ls7e_ard_3-2-1_098071_2022-01-21_final
2022-01-22 08:52:18	ga_ls7e_ard_3-2-1_098077_2022-01-21_final
2022-01-22 10:32:46	ga_ls7e_ard_3-2-1_114081_2022-01-22_final
2022-01-27 09:09:33	ga_ls7e_ard_3-2-1_101075_2022-01-26_final
2022-02-07 10:28:47	ga_ls7e_ard_3-2-1_114075_2022-02-07_final
2022-02-12 09:06:20	ga_ls7e_ard_3-2-1_101071_2022-02-11_final
2022-02-22 08:08:20	ga_ls7e_ard_3-2-1_091083_2022-02-21_final
2022-03-08 09:55:01	ga_ls7e_ard_3-2-1_109075_2022-03-08_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