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
1999-08-07 11:12:49	ga_ls7e_ard_3-0-0_110074_1999-08-07_final
1999-10-17 11:16:38	ga_ls7e_ard_3-0-0_111068_1999-10-17_final
2000-04-24 11:34:21	ga_ls7e_ard_3-0-0_113083_2000-04-24_final
2002-02-07 11:41:17	ga_ls7e_ard_3-0-0_115078_2002-02-07_final
2002-04-09 11:09:07	ga_ls7e_ard_3-0-0_110075_2002-04-09_final
2003-10-05 11:12:03	ga_ls7e_ard_3-0-0_110084_2003-10-05_final
2003-10-21 11:09:00	ga_ls7e_ard_3-0-0_110076_2003-10-21_final
2003-12-27 11:40:29	ga_ls7e_ard_3-0-0_115076_2003-12-27_final
2004-03-11 11:25:05	ga_ls7e_ard_3-0-0_112083_2004-03-11_final
2004-04-01 11:40:52	ga_ls7e_ard_3-0-0_115076_2004-04-01_final
2004-04-05 11:12:33	ga_ls7e_ard_3-0-0_111067_2004-04-05_final
2004-04-17 11:39:57	ga_ls7e_ard_3-0-0_115074_2004-04-17_final
2004-04-21 11:17:59	ga_ls7e_ard_3-0-0_111081_2004-04-21_final
2004-09-12 11:12:21	ga_ls7e_ard_3-0-0_111068_2004-09-12_final
2005-01-09 11:24:51	ga_ls7e_ard_3-0-0_112082_2005-01-09_final
2005-05-01 11:25:03	ga_ls7e_ard_3-0-0_112082_2005-05-01_final
2005-09-27 11:40:17	ga_ls7e_ard_3-0-0_115075_2005-09-27_final
2005-12-27 11:25:58	ga_ls7e_ard_3-0-0_112084_2005-12-27_final
2006-01-10 11:36:03	ga_ls7e_ard_3-0-0_114078_2006-01-10_final
2006-01-19 11:31:57	ga_ls7e_ard_3-0-0_113083_2006-01-19_final
2006-04-09 11:31:17	ga_ls7e_ard_3-0-0_113081_2006-04-09_final
2006-04-25 11:32:27	ga_ls7e_ard_3-0-0_113084_2006-04-25_final
2006-05-18 11:35:06	ga_ls7e_ard_3-0-0_114075_2006-05-18_final
2006-11-17 11:42:45	ga_ls7e_ard_3-0-0_115079_2006-11-17_final
2007-05-16 11:18:50	ga_ls7e_ard_3-0-0_111080_2007-05-16_final
2007-10-05 11:31:41	ga_ls7e_ard_3-0-0_113083_2007-10-05_final
2007-11-22 11:31:01	ga_ls7e_ard_3-0-0_113080_2007-11-22_final
2008-05-27 11:11:01	ga_ls7e_ard_3-0-0_110077_2008-05-27_final
2008-05-30 11:41:29	ga_ls7e_ard_3-0-0_115076_2008-05-30_final
2008-07-03 11:25:12	ga_ls7e_ard_3-0-0_113067_2008-07-03_final
2008-10-23 11:30:27	ga_ls7e_ard_3-0-0_113082_2008-10-23_final
2009-02-26 11:42:25	ga_ls7e_ard_3-0-0_115078_2009-02-26_final
2009-03-18 11:13:28	ga_ls7e_ard_3-0-0_111067_2009-03-18_final
2009-05-28 11:22:43	ga_ls7e_ard_3-0-0_112074_2009-05-28_final
2009-07-04 11:41:11	ga_ls7e_ard_3-0-0_115074_2009-07-04_final
2009-09-26 11:16:13	ga_ls7e_ard_3-0-0_111074_2009-09-26_final
2009-11-04 11:22:43	ga_ls7e_ard_3-0-0_112074_2009-11-04_final
2010-05-31 11:27:59	ga_ls7e_ard_3-0-0_112083_2010-05-31_final
2010-07-07 11:43:01	ga_ls7e_ard_3-0-0_115074_2010-07-07_final
2010-07-27 11:17:31	ga_ls7e_ard_3-0-0_111072_2010-07-27_final
2011-04-21 11:46:24	ga_ls7e_ard_3-0-0_115079_2011-04-21_final
2011-06-03 11:26:16	ga_ls7e_ard_3-0-0_112075_2011-06-03_final
2011-12-26 11:38:59	ga_ls7e_ard_3-0-0_114075_2011-12-26_final
2012-03-24 11:36:10	ga_ls7e_ard_3-0-0_113083_2012-03-24_final
2012-05-27 11:36:11	ga_ls7e_ard_3-0-0_113082_2012-05-27_final
2012-08-13 11:47:55	ga_ls7e_ard_3-0-0_115079_2012-08-13_final
2012-08-31 11:33:44	ga_ls7e_ard_3-0-0_113074_2012-08-31_final
2013-10-23 11:21:21	ga_ls7e_ard_3-0-0_111072_2013-10-23_final
2013-12-24 11:38:25	ga_ls7e_ard_3-0-0_113083_2013-12-24_final
2015-05-22 11:23:09	ga_ls7e_ard_3-0-0_111068_2015-05-22_final
2015-06-23 11:25:18	ga_ls7e_ard_3-0-0_111073_2015-06-23_final
2015-11-28 11:40:32	ga_ls7e_ard_3-0-0_113077_2015-11-28_final
2016-04-27 11:48:10	ga_ls7e_ard_3-0-0_114077_2016-04-27_final
2016-06-09 11:28:13	ga_ls7e_ard_3-0-0_111073_2016-06-09_final
2016-08-01 11:50:02	ga_ls7e_ard_3-0-0_114081_2016-08-01_final
2017-01-24 11:46:40	ga_ls7e_ard_3-0-0_114074_2017-01-24_final
2017-02-20 11:31:41	ga_ls7e_ard_3-0-0_111083_2017-02-20_final
2017-03-08 11:31:00	ga_ls7e_ard_3-0-0_111081_2017-03-08_final
2017-04-16 11:38:36	ga_ls7e_ard_3-0-0_112084_2017-04-16_final
2017-04-23 11:38:03	ga_ls7e_ard_3-0-0_113067_2017-04-23_final
2017-10-02 11:27:29	ga_ls7e_ard_3-0-0_111071_2017-10-02_final
2017-12-01 11:53:18	ga_ls7e_ard_3-0-0_115074_2017-12-01_final
2017-12-28 11:37:41	ga_ls7e_ard_3-0-0_112082_2017-12-28_final
2018-01-29 11:34:48	ga_ls7e_ard_3-0-0_112076_2018-01-29_final
2018-05-30 11:29:40	ga_ls7e_ard_3-0-0_111083_2018-05-30_final
2018-08-30 11:49:05	ga_ls7e_ard_3-0-0_115074_2018-08-30_final
2018-08-30 11:50:40	ga_ls7e_ard_3-0-0_115078_2018-08-30_final
2018-09-01 11:39:28	ga_ls7e_ard_3-0-0_113081_2018-09-01_final
2019-04-15 11:17:34	ga_ls7e_ard_3-0-0_111073_2019-04-15_final
2019-08-03 11:28:57	ga_ls7e_ard_3-0-0_113081_2019-08-03_final
2019-11-07 11:22:03	ga_ls7e_ard_3-1-0_113074_2019-11-07_final
2020-01-26 11:18:05	ga_ls7e_ard_3-1-0_113074_2020-01-26_final
2020-02-09 11:30:56	ga_ls7e_ard_3-1-0_115077_2020-02-09_final
2020-04-24 11:09:27	ga_ls7e_ard_3-1-0_112080_2020-04-24_final
2020-12-18 09:22:50	ga_ls7e_ard_3-1-0_098068_2020-12-17_final
2020-12-18 11:01:19	ga_ls7e_ard_3-1-0_114067_2020-12-18_final
2020-12-22 10:38:17	ga_ls7e_ard_3-1-0_110072_2020-12-22_final
2021-04-15 08:44:47	ga_ls7e_ard_3-2-0_092088_2021-04-14_final
2021-04-26 08:24:06	ga_ls7e_ard_3-2-0_089085_2021-04-25_final
2021-05-15 10:26:19	ga_ls7e_ard_3-2-0_110070_2021-05-15_final
2021-06-14 10:40:57	ga_ls7e_ard_3-2-0_112082_2021-06-14_final
2021-06-20 10:00:11	ga_ls7e_ard_3-2-0_106074_2021-06-20_final
2021-07-19 09:25:38	ga_ls7e_ard_3-2-0_101071_2021-07-18_final
2021-07-27 08:41:30	ga_ls7e_ard_3-2-0_093086_2021-07-26_final
2021-08-30 10:03:26	ga_ls7e_ard_3-2-0_107082_2021-08-30_final
2021-09-06 08:31:43	ga_ls7e_ard_3-2-0_092086_2021-09-05_final
2021-09-28 09:24:22	ga_ls7e_ard_3-2-0_102068_2021-09-27_final
2021-09-29 08:33:51	ga_ls7e_ard_3-2-0_093081_2021-09-28_final
2021-09-29 10:10:44	ga_ls7e_ard_3-2-0_109076_2021-09-29_final
2021-10-18 09:01:53	ga_ls7e_ard_3-2-0_098078_2021-10-17_final
2021-10-30 09:21:55	ga_ls7e_ard_3-2-0_102069_2021-10-29_final
2021-11-05 10:28:20	ga_ls7e_ard_3-2-0_112082_2021-11-05_final
2021-11-12 10:30:39	ga_ls7e_ard_3-2-1_113074_2021-11-12_final
2021-11-25 09:57:17	ga_ls7e_ard_3-2-1_108071_2021-11-25_final
2021-12-21 08:55:49	ga_ls7e_ard_3-2-1_098078_2021-12-20_final
2021-12-29 09:43:39	ga_ls7e_ard_3-2-1_106076_2021-12-29_final
2022-01-03 10:04:53	ga_ls7e_ard_3-2-1_109084_2022-01-03_final
2022-01-19 08:24:29	ga_ls7e_ard_3-2-1_093084_2022-01-18_final
2022-02-04 08:24:06	ga_ls7e_ard_3-2-1_093087_2022-02-03_final
2022-02-27 08:22:25	ga_ls7e_ard_3-2-1_094073_2022-02-26_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