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
1999-07-31 09:32:55	ga_ls7e_ard_3-1-0_093087_1999-07-31_final
1999-08-27 10:48:31	ga_ls7e_ard_3-1-0_106075_1999-08-27_final
2003-05-21 11:17:57	ga_ls7e_ard_3-1-0_111082_2003-05-21_final
2003-11-18 09:53:58	ga_ls7e_ard_3-1-0_098073_2003-11-18_final
2004-01-25 09:30:04	ga_ls7e_ard_3-1-0_094074_2004-01-25_final
2004-10-07 11:07:36	ga_ls7e_ard_3-1-0_110072_2004-10-07_final
2004-12-05 10:49:19	ga_ls7e_ard_3-1-0_107071_2004-12-05_final
2005-01-24 09:05:30	ga_ls7e_ard_3-1-0_089089_2005-01-23_final
2005-06-04 09:30:09	ga_ls7e_ard_3-1-0_094073_2005-06-04_final
2005-09-05 09:02:04	ga_ls7e_ard_3-1-0_089081_2005-09-04_final
2005-12-29 11:08:50	ga_ls7e_ard_3-1-0_110072_2005-12-29_final
2006-02-08 11:06:33	ga_ls7e_ard_3-1-0_109081_2006-02-08_final
2006-04-16 09:58:08	ga_ls7e_ard_3-1-0_098080_2006-04-16_final
2006-09-15 10:45:07	ga_ls7e_ard_3-1-0_106075_2006-09-15_final
2006-10-17 10:45:05	ga_ls7e_ard_3-1-0_106075_2006-10-17_final
2006-12-14 11:26:25	ga_ls7e_ard_3-1-0_112084_2006-12-14_final
2007-01-31 11:26:11	ga_ls7e_ard_3-1-0_112083_2007-01-31_final
2007-06-19 09:29:53	ga_ls7e_ard_3-1-0_093086_2007-06-18_final
2007-10-23 09:36:41	ga_ls7e_ard_3-1-0_095073_2007-10-23_final
2008-03-28 09:10:50	ga_ls7e_ard_3-1-0_090085_2008-03-27_final
2008-08-19 10:44:43	ga_ls7e_ard_3-1-0_106075_2008-08-19_final
2009-01-12 10:30:55	ga_ls7e_ard_3-1-0_104070_2009-01-12_final
2010-02-06 09:59:57	ga_ls7e_ard_3-1-0_098080_2010-02-06_final
2010-02-14 10:47:29	ga_ls7e_ard_3-1-0_106075_2010-02-14_final
2010-03-30 11:11:18	ga_ls7e_ard_3-1-0_110072_2010-03-30_final
2010-05-10 09:29:47	ga_ls7e_ard_3-1-0_093081_2010-05-09_final
2010-10-01 09:32:14	ga_ls7e_ard_3-1-0_093087_2010-10-01_final
2010-10-21 09:05:21	ga_ls7e_ard_3-1-0_089081_2010-10-20_final
2011-10-15 10:48:51	ga_ls7e_ard_3-1-0_106075_2011-10-15_final
2012-01-03 10:49:36	ga_ls7e_ard_3-1-0_106075_2012-01-03_final
2012-06-16 09:34:27	ga_ls7e_ard_3-1-0_093087_2012-06-16_final
2012-10-22 09:35:50	ga_ls7e_ard_3-1-0_093087_2012-10-22_final
2012-12-20 09:16:49	ga_ls7e_ard_3-1-0_090085_2012-12-19_final
2013-09-12 11:31:52	ga_ls7e_ard_3-1-0_112084_2013-09-12_final
2014-07-19 10:53:07	ga_ls7e_ard_3-1-0_106075_2014-07-19_final
2015-06-09 09:39:37	ga_ls7e_ard_3-1-0_093087_2015-06-09_final
2016-03-14 11:21:11	ga_ls7e_ard_3-1-0_110072_2016-03-14_final
2016-08-25 10:58:15	ga_ls7e_ard_3-1-0_106075_2016-08-25_final
2016-09-18 10:10:51	ga_ls7e_ard_3-1-0_098080_2016-09-18_final
2017-03-15 11:38:26	ga_ls7e_ard_3-1-0_112084_2017-03-15_final
2017-08-01 11:19:09	ga_ls7e_ard_3-1-0_109081_2017-08-01_final
2017-09-13 10:58:10	ga_ls7e_ard_3-1-0_106075_2017-09-13_final
2017-09-25 11:21:42	ga_ls7e_ard_3-1-0_110072_2017-09-25_final
2018-10-14 11:16:20	ga_ls7e_ard_3-1-0_110072_2018-10-14_final
2018-12-01 11:15:13	ga_ls7e_ard_3-1-0_110072_2018-12-01_final
2019-02-17 11:26:02	ga_ls7e_ard_3-1-0_112074_2019-02-17_final
2019-03-10 10:07:26	ga_ls7e_ard_3-1-0_099080_2019-03-10_final
2019-03-26 10:01:43	ga_ls7e_ard_3-1-0_099067_2019-03-26_final
2019-03-28 09:50:53	ga_ls7e_ard_3-1-0_097071_2019-03-28_final
2019-08-24 10:08:32	ga_ls7e_ard_3-1-0_100083_2019-08-24_final
2019-09-02 11:38:03	ga_ls7e_ard_3-1-0_115076_2019-09-02_final
2019-09-08 09:23:26	ga_ls7e_ard_3-1-0_093080_2019-09-07_final
2019-09-18 09:55:41	ga_ls7e_ard_3-1-0_099069_2019-09-18_final
2019-09-22 09:32:22	ga_ls7e_ard_3-1-0_095073_2019-09-22_final
2019-10-01 11:04:18	ga_ls7e_ard_3-1-0_110072_2019-10-01_final
2019-10-05 10:39:01	ga_ls7e_ard_3-1-0_106071_2019-10-05_final
2019-10-13 09:52:50	ga_ls7e_ard_3-1-0_098080_2019-10-13_final
2019-10-15 11:16:53	ga_ls7e_ard_3-1-0_112074_2019-10-15_final
2019-10-24 11:10:19	ga_ls7e_ard_3-1-0_111074_2019-10-24_final
2019-10-26 09:23:22	ga_ls7e_ard_3-1-0_093085_2019-10-25_final
2019-11-02 11:04:08	ga_ls7e_ard_3-1-0_110075_2019-11-02_final
2019-11-05 11:36:06	ga_ls7e_ard_3-1-0_115078_2019-11-05_final
2019-11-15 08:57:45	ga_ls7e_ard_3-1-0_089085_2019-11-14_final
2019-11-17 10:22:35	ga_ls7e_ard_3-1-0_103081_2019-11-17_final
2019-11-23 09:46:25	ga_ls7e_ard_3-1-0_097084_2019-11-23_final
2019-11-30 11:28:21	ga_ls7e_ard_3-1-0_114077_2019-11-30_final
2019-12-07 09:56:06	ga_ls7e_ard_3-1-0_099079_2019-12-07_final
2019-12-07 09:56:30	ga_ls7e_ard_3-1-0_099080_2019-12-07_final
2019-12-08 10:40:54	ga_ls7e_ard_3-1-0_106083_2019-12-08_final
2019-12-09 09:45:38	ga_ls7e_ard_3-1-0_097084_2019-12-09_final
2019-12-15 10:45:08	ga_ls7e_ard_3-1-0_107079_2019-12-15_final
2019-12-23 09:55:41	ga_ls7e_ard_3-1-0_099080_2019-12-23_final
2019-12-25 11:19:42	ga_ls7e_ard_3-1-0_113074_2019-12-25_final
2019-12-25 11:20:06	ga_ls7e_ard_3-1-0_113075_2019-12-25_final
2019-12-31 10:42:19	ga_ls7e_ard_3-1-0_107074_2019-12-31_final
2020-01-02 08:54:58	ga_ls7e_ard_3-1-0_089084_2020-01-01_final
2020-01-15 10:02:17	ga_ls7e_ard_3-1-0_100084_2020-01-15_final
2020-01-25 09:01:35	ga_ls7e_ard_3-1-0_090088_2020-01-24_final
2020-01-30 10:51:34	ga_ls7e_ard_3-1-0_109070_2020-01-30_final
2020-02-06 10:58:12	ga_ls7e_ard_3-1-0_110072_2020-02-06_final
2020-02-13 11:02:25	ga_ls7e_ard_3-1-0_111068_2020-02-13_final
2020-02-15 10:56:20	ga_ls7e_ard_3-1-0_109084_2020-02-15_final
2020-02-18 09:42:13	ga_ls7e_ard_3-1-0_098069_2020-02-18_final
2020-02-18 11:25:53	ga_ls7e_ard_3-1-0_114081_2020-02-18_final
2020-02-21 10:17:45	ga_ls7e_ard_3-1-0_103081_2020-02-21_final
2020-03-03 09:55:50	ga_ls7e_ard_3-1-0_100074_2020-03-03_final
2020-03-04 10:38:38	ga_ls7e_ard_3-1-0_107073_2020-03-04_final
2020-03-09 10:57:18	ga_ls7e_ard_3-1-0_110074_2020-03-09_final
2020-03-10 10:00:26	ga_ls7e_ard_3-1-0_101071_2020-03-10_final
2020-03-12 09:53:09	ga_ls7e_ard_3-1-0_099084_2020-03-12_final
2020-03-21 11:21:22	ga_ls7e_ard_3-1-0_114074_2020-03-21_final
2020-04-13 09:44:58	ga_ls7e_ard_3-1-0_099068_2020-04-13_final
2020-04-14 08:57:40	ga_ls7e_ard_3-1-0_090089_2020-04-13_final
2020-04-15 11:16:09	ga_ls7e_ard_3-1-0_113080_2020-04-15_final
2020-04-23 08:49:46	ga_ls7e_ard_3-1-0_089086_2020-04-22_final
2020-04-29 09:45:13	ga_ls7e_ard_3-1-0_099071_2020-04-29_final
2022-03-17 08:13:26	ga_ls7e_ard_3-2-1_092086_2022-03-16_final
2022-03-24 08:19:22	ga_ls7e_ard_3-2-1_093087_2022-03-23_final
2022-03-30 09:13:01	ga_ls7e_ard_3-2-1_103068_2022-03-29_final
2022-04-03 10:31:10	ga_ls7e_ard_3-2-1_115079_2022-04-03_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