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
1999-10-30 10:48:28	ga_ls7e_ard_3-1-0_106075_1999-10-30_final
2000-01-18 10:48:22	ga_ls7e_ard_3-1-0_106075_2000-01-18_final
2000-02-03 10:48:22	ga_ls7e_ard_3-1-0_106075_2000-02-03_final
2000-05-09 10:47:43	ga_ls7e_ard_3-1-0_106075_2000-05-09_final
2001-03-12 09:37:07	ga_ls7e_ard_3-1-0_095073_2001-03-12_final
2003-12-31 09:35:42	ga_ls7e_ard_3-1-0_095073_2003-12-31_final
2004-02-27 10:16:59	ga_ls7e_ard_3-1-0_101083_2004-02-27_final
2004-05-15 10:28:38	ga_ls7e_ard_3-1-0_103081_2004-05-15_final
2005-02-12 09:30:12	ga_ls7e_ard_3-1-0_094073_2005-02-12_final
2005-08-26 11:41:15	ga_ls7e_ard_3-1-0_115077_2005-08-26_final
2005-09-12 10:44:40	ga_ls7e_ard_3-1-0_106075_2005-09-12_final
2006-03-06 11:42:06	ga_ls7e_ard_3-1-0_115077_2006-03-06_final
2006-08-14 10:45:15	ga_ls7e_ard_3-1-0_106075_2006-08-14_final
2006-12-19 10:06:06	ga_ls7e_ard_3-1-0_099084_2006-12-19_final
2006-12-20 10:45:46	ga_ls7e_ard_3-1-0_106075_2006-12-20_final
2007-12-21 09:22:35	ga_ls7e_ard_3-1-0_092083_2007-12-20_final
2008-01-24 10:45:56	ga_ls7e_ard_3-1-0_106075_2008-01-24_final
2009-06-03 10:46:01	ga_ls7e_ard_3-1-0_106075_2009-06-03_final
2009-06-06 11:19:43	ga_ls7e_ard_3-1-0_111082_2009-06-06_final
2009-11-06 11:09:36	ga_ls7e_ard_3-1-0_110072_2009-11-06_final
2010-02-22 10:00:07	ga_ls7e_ard_3-1-0_098080_2010-02-22_final
2010-09-08 09:27:20	ga_ls7e_ard_3-1-0_092090_2010-09-07_final
2010-09-18 10:00:25	ga_ls7e_ard_3-1-0_098080_2010-09-18_final
2010-09-22 11:11:23	ga_ls7e_ard_3-1-0_110072_2010-09-22_final
2011-02-17 10:49:02	ga_ls7e_ard_3-1-0_106075_2011-02-17_final
2011-06-30 09:33:33	ga_ls7e_ard_3-1-0_093087_2011-06-30_final
2011-08-01 09:33:29	ga_ls7e_ard_3-1-0_093087_2011-08-01_final
2012-04-08 10:49:39	ga_ls7e_ard_3-1-0_106075_2012-04-08_final
2012-05-29 11:23:46	ga_ls7e_ard_3-1-0_111082_2012-05-29_final
2012-06-07 11:13:26	ga_ls7e_ard_3-1-0_110072_2012-06-07_final
2012-07-29 10:50:30	ga_ls7e_ard_3-1-0_106075_2012-07-29_final
2012-09-18 09:42:15	ga_ls7e_ard_3-1-0_095073_2012-09-18_final
2012-12-20 10:51:42	ga_ls7e_ard_3-1-0_106075_2012-12-20_final
2013-02-25 09:42:57	ga_ls7e_ard_3-1-0_095073_2013-02-25_final
2013-04-27 10:51:30	ga_ls7e_ard_3-1-0_106075_2013-04-27_final
2013-07-19 11:24:38	ga_ls7e_ard_3-1-0_111082_2013-07-19_final
2014-01-08 09:17:08	ga_ls7e_ard_3-1-0_090085_2014-01-07_final
2014-04-17 09:43:54	ga_ls7e_ard_3-1-0_095073_2014-04-17_final
2014-09-08 11:26:56	ga_ls7e_ard_3-1-0_111082_2014-09-08_final
2014-12-10 10:53:59	ga_ls7e_ard_3-1-0_106075_2014-12-10_final
2015-03-03 09:45:41	ga_ls7e_ard_3-1-0_095073_2015-03-03_final
2015-05-24 09:39:29	ga_ls7e_ard_3-1-0_093087_2015-05-24_final
2015-09-27 09:46:46	ga_ls7e_ard_3-1-0_095073_2015-09-27_final
2015-11-07 11:19:40	ga_ls7e_ard_3-1-0_110072_2015-11-07_final
2015-11-20 09:16:54	ga_ls7e_ard_3-1-0_089089_2015-11-19_final
2016-07-13 09:42:35	ga_ls7e_ard_3-1-0_093087_2016-07-13_final
2016-08-14 09:42:39	ga_ls7e_ard_3-1-0_093087_2016-08-14_final
2016-12-19 10:32:29	ga_ls7e_ard_3-1-0_102073_2016-12-19_final
2017-12-12 11:38:39	ga_ls7e_ard_3-1-0_112084_2017-12-12_final
2018-02-20 09:22:10	ga_ls7e_ard_3-1-0_090085_2018-02-19_final
2018-04-05 11:20:01	ga_ls7e_ard_3-1-0_110072_2018-04-05_final
2019-02-16 09:07:31	ga_ls7e_ard_3-1-0_089083_2019-02-15_final
2019-02-26 11:19:35	ga_ls7e_ard_3-1-0_111074_2019-02-26_final
2019-03-03 09:57:05	ga_ls7e_ard_3-1-0_098069_2019-03-03_final
2019-03-05 11:25:32	ga_ls7e_ard_3-1-0_112074_2019-03-05_final
2019-03-06 10:32:17	ga_ls7e_ard_3-1-0_103080_2019-03-06_final
2019-03-07 11:13:55	ga_ls7e_ard_3-1-0_110076_2019-03-07_final
2019-03-12 09:56:36	ga_ls7e_ard_3-1-0_097084_2019-03-12_final
2019-03-20 09:07:18	ga_ls7e_ard_3-1-0_089085_2019-03-19_final
2019-03-24 10:20:32	ga_ls7e_ard_3-1-0_101083_2019-03-24_final
2019-03-25 09:22:05	ga_ls7e_ard_3-1-0_092076_2019-03-24_final
2019-03-27 09:15:14	ga_ls7e_ard_3-1-0_090090_2019-03-26_final
2019-03-28 11:30:58	ga_ls7e_ard_3-1-0_113074_2019-03-28_final
2019-06-20 09:29:28	ga_ls7e_ard_3-1-0_093087_2019-06-19_final
2019-06-27 11:08:17	ga_ls7e_ard_3-1-0_110072_2019-06-27_final
2019-09-22 11:11:39	ga_ls7e_ard_3-1-0_111074_2019-09-22_final
2019-09-27 09:48:42	ga_ls7e_ard_3-1-0_098068_2019-09-27_final
2019-10-01 09:31:00	ga_ls7e_ard_3-1-0_094086_2019-10-01_final
2019-10-04 09:55:00	ga_ls7e_ard_3-1-0_099069_2019-10-04_final
2019-10-12 10:46:06	ga_ls7e_ard_3-1-0_107074_2019-10-12_final
2019-11-13 10:48:17	ga_ls7e_ard_3-1-0_107083_2019-11-13_final
2019-11-24 10:28:50	ga_ls7e_ard_3-1-0_104082_2019-11-24_final
2019-11-28 10:03:55	ga_ls7e_ard_3-1-0_100082_2019-11-28_final
2019-11-29 10:42:44	ga_ls7e_ard_3-1-0_107071_2019-11-29_final
2019-12-01 08:54:59	ga_ls7e_ard_3-1-0_089080_2019-11-30_final
2019-12-23 09:57:17	ga_ls7e_ard_3-1-0_099084_2019-12-23_final
2019-12-25 11:20:54	ga_ls7e_ard_3-1-0_113077_2019-12-25_final
2019-12-31 10:42:43	ga_ls7e_ard_3-1-0_107075_2019-12-31_final
2020-01-01 09:44:15	ga_ls7e_ard_3-1-0_098068_2020-01-01_final
2020-01-10 11:18:53	ga_ls7e_ard_3-1-0_113074_2020-01-10_final
2020-01-10 11:21:40	ga_ls7e_ard_3-1-0_113081_2020-01-10_final
2020-01-17 09:47:26	ga_ls7e_ard_3-1-0_098078_2020-01-17_final
2020-01-24 11:32:09	ga_ls7e_ard_3-1-0_115078_2020-01-24_final
2020-01-24 11:32:33	ga_ls7e_ard_3-1-0_115079_2020-01-24_final
2020-01-31 09:59:06	ga_ls7e_ard_3-1-0_100078_2020-01-31_final
2020-02-02 09:48:14	ga_ls7e_ard_3-1-0_098082_2020-02-02_final
2020-02-02 11:25:07	ga_ls7e_ard_3-1-0_114077_2020-02-02_final
2020-02-09 09:50:04	ga_ls7e_ard_3-1-0_099072_2020-02-09_final
2020-02-15 10:51:57	ga_ls7e_ard_3-1-0_109073_2020-02-15_final
2020-02-25 11:30:30	ga_ls7e_ard_3-1-0_115078_2020-02-25_final
2020-03-03 09:59:25	ga_ls7e_ard_3-1-0_100083_2020-03-03_final
2020-03-14 11:15:34	ga_ls7e_ard_3-1-0_113074_2020-03-14_final
2020-03-23 11:08:54	ga_ls7e_ard_3-1-0_112074_2020-03-23_final
2020-04-14 08:57:16	ga_ls7e_ard_3-1-0_090088_2020-04-13_final
2020-04-22 11:16:44	ga_ls7e_ard_3-1-0_114067_2020-04-22_final
2022-03-19 09:33:23	ga_ls7e_ard_3-2-1_106070_2022-03-19_final
2022-03-20 10:21:20	ga_ls7e_ard_3-2-1_113082_2022-03-20_final
2022-03-27 08:48:47	ga_ls7e_ard_3-2-1_098084_2022-03-26_final
2022-03-27 10:24:28	ga_ls7e_ard_3-2-1_114076_2022-03-27_final
2022-04-01 09:06:27	ga_ls7e_ard_3-2-1_101083_2022-03-31_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