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
2000-04-06 11:44:26	ga_ls7e_ard_3-1-0_115077_2000-04-06_final
2000-05-28 11:17:14	ga_ls7e_ard_3-0-0_111072_2000-05-28_final
2002-03-26 10:57:10	ga_ls7e_ard_3-0-0_108076_2002-03-26_final
2002-12-24 11:40:20	ga_ls7e_ard_3-1-0_115077_2002-12-24_final
2003-01-09 11:40:20	ga_ls7e_ard_3-1-0_115077_2003-01-09_final
2003-08-25 11:15:16	ga_ls7e_ard_3-0-0_111076_2003-08-25_final
2003-08-27 11:02:30	ga_ls7e_ard_3-0-0_109075_2003-08-27_final
2003-12-10 10:56:17	ga_ls7e_ard_3-0-0_108074_2003-12-10_final
2004-01-12 11:40:07	ga_ls7e_ard_3-0-0_115075_2004-01-12_final
2004-02-06 11:34:08	ga_ls7e_ard_3-0-0_114075_2004-02-06_final
2004-04-05 11:14:56	ga_ls7e_ard_3-0-0_111073_2004-04-05_final
2004-09-28 11:14:17	ga_ls7e_ard_3-0-0_111073_2004-09-28_final
2004-10-07 11:08:47	ga_ls7e_ard_3-0-0_110075_2004-10-07_final
2004-12-03 11:02:51	ga_ls7e_ard_3-0-0_109074_2004-12-03_final
2004-12-19 11:01:22	ga_ls7e_ard_3-0-0_109070_2004-12-19_final
2005-01-18 11:15:29	ga_ls7e_ard_3-0-0_111074_2005-01-18_final
2005-04-10 11:03:20	ga_ls7e_ard_3-0-0_109074_2005-04-10_final
2005-04-26 11:03:17	ga_ls7e_ard_3-0-0_109074_2005-04-26_final
2005-09-08 11:09:26	ga_ls7e_ard_3-0-0_110075_2005-09-08_final
2005-12-11 11:21:53	ga_ls7e_ard_3-0-0_112074_2005-12-11_final
2006-02-15 11:08:22	ga_ls7e_ard_3-0-0_110070_2006-02-15_final
2006-06-10 11:41:14	ga_ls7e_ard_3-0-0_115075_2006-06-10_final
2007-04-26 11:42:05	ga_ls7e_ard_3-0-0_115076_2007-04-26_final
2007-05-28 11:41:52	ga_ls7e_ard_3-0-0_115076_2007-05-28_final
2007-06-22 11:37:17	ga_ls7e_ard_3-0-0_114080_2007-06-22_final
2007-10-09 11:02:14	ga_ls7e_ard_3-0-0_109071_2007-10-09_final
2008-10-18 11:07:02	ga_ls7e_ard_3-0-0_110070_2008-10-18_final
2008-11-10 11:14:46	ga_ls7e_ard_3-0-0_111073_2008-11-10_final
2008-12-08 11:41:49	ga_ls7e_ard_3-0-0_115078_2008-12-08_final
2009-03-02 11:15:20	ga_ls7e_ard_3-0-0_111072_2009-03-02_final
2009-03-18 11:16:16	ga_ls7e_ard_3-0-0_111074_2009-03-18_final
2009-04-30 11:01:32	ga_ls7e_ard_3-0-0_108083_2009-04-30_final
2009-11-29 11:16:28	ga_ls7e_ard_3-0-0_111073_2009-11-29_final
2009-12-15 11:16:16	ga_ls7e_ard_3-0-0_111072_2009-12-15_final
2010-04-18 11:43:49	ga_ls7e_ard_3-0-0_115076_2010-04-18_final
2010-09-22 11:12:35	ga_ls7e_ard_3-0-0_110075_2010-09-22_final
2010-12-20 11:08:46	ga_ls7e_ard_3-0-0_109079_2010-12-20_final
2011-02-18 11:32:18	ga_ls7e_ard_3-0-0_113075_2011-02-18_final
2011-06-23 11:01:30	ga_ls7e_ard_3-1-0_108075_2011-06-23_final
2011-06-30 11:08:02	ga_ls7e_ard_3-0-0_109076_2011-06-30_final
2011-11-19 11:18:31	ga_ls7e_ard_3-0-0_111071_2011-11-19_final
2011-11-24 11:35:31	ga_ls7e_ard_3-0-0_114067_2011-11-24_final
2012-02-09 11:08:38	ga_ls7e_ard_3-0-0_109076_2012-02-09_final
2012-03-31 11:35:57	ga_ls7e_ard_3-0-0_114067_2012-03-31_final
2012-04-11 11:18:56	ga_ls7e_ard_3-0-0_111071_2012-04-11_final
2012-08-26 11:15:32	ga_ls7e_ard_3-0-0_110075_2012-08-26_final
2013-08-20 11:19:02	ga_ls7e_ard_3-0-0_111068_2013-08-20_final
2014-02-19 11:32:09	ga_ls7e_ard_3-0-0_112082_2014-02-19_final
2014-05-26 11:26:50	ga_ls7e_ard_3-0-0_112067_2014-05-26_final
2015-01-09 11:08:54	ga_ls7e_ard_3-0-0_108081_2015-01-09_final
2015-05-08 11:13:29	ga_ls7e_ard_3-0-0_109075_2015-05-08_final
2015-06-07 11:25:39	ga_ls7e_ard_3-0-0_111074_2015-06-07_final
2015-08-26 11:25:32	ga_ls7e_ard_3-0-0_111073_2015-08-26_final
2016-04-02 11:52:58	ga_ls7e_ard_3-0-0_115074_2016-04-02_final
2016-08-30 11:16:48	ga_ls7e_ard_3-0-0_109075_2016-08-30_final
2016-09-09 11:54:19	ga_ls7e_ard_3-0-0_115076_2016-09-09_final
2017-01-03 11:27:58	ga_ls7e_ard_3-0-0_111073_2017-01-03_final
2017-01-21 11:14:12	ga_ls7e_ard_3-0-0_109070_2017-01-21_final
2017-03-06 11:37:46	ga_ls7e_ard_3-0-0_113067_2017-03-06_final
2017-10-29 11:10:35	ga_ls7e_ard_3-0-0_108075_2017-10-29_final
2018-07-13 11:51:34	ga_ls7e_ard_3-0-0_115078_2018-07-13_final
2018-09-12 11:16:18	ga_ls7e_ard_3-0-0_110070_2018-09-12_final
2018-09-19 11:23:31	ga_ls7e_ard_3-0-0_111073_2018-09-19_final
2018-11-22 11:20:02	ga_ls7e_ard_3-0-0_111068_2018-11-22_final
2018-12-20 11:47:59	ga_ls7e_ard_3-0-0_115078_2018-12-20_final
2019-04-22 11:21:06	ga_ls7e_ard_3-0-0_112067_2019-04-22_final
2019-10-31 11:16:35	ga_ls7e_ard_3-1-0_112075_2019-10-31_final
2020-02-06 10:59:00	ga_ls7e_ard_3-1-0_110074_2020-02-06_final
2020-03-16 11:02:42	ga_ls7e_ard_3-1-0_111073_2020-03-16_final
2020-06-29 10:47:58	ga_ls7e_ard_3-1-0_110067_2020-06-29_final
2020-08-05 11:10:37	ga_ls7e_ard_3-1-0_113083_2020-08-05_final
2020-10-19 10:44:02	ga_ls7e_ard_3-1-0_110075_2020-10-19_final
2020-11-23 09:32:04	ga_ls7e_ard_3-1-0_099071_2020-11-23_final
2020-12-17 10:19:20	ga_ls7e_ard_3-1-0_107070_2020-12-17_final
2020-12-18 09:26:25	ga_ls7e_ard_3-1-0_098077_2020-12-17_final
2020-12-26 08:40:47	ga_ls7e_ard_3-1-0_090088_2020-12-25_final
2021-01-05 09:08:48	ga_ls7e_ard_3-1-0_096067_2021-01-04_final
2021-01-30 09:03:14	ga_ls7e_ard_3-2-0_095073_2021-01-29_final
2021-02-20 09:22:12	ga_ls7e_ard_3-2-0_098078_2021-02-19_final
2021-02-21 10:06:35	ga_ls7e_ard_3-2-0_105081_2021-02-21_final
2021-02-24 10:32:51	ga_ls7e_ard_3-2-0_110070_2021-02-24_final
2021-02-27 09:25:27	ga_ls7e_ard_3-2-0_099072_2021-02-26_final
2021-03-03 09:00:49	ga_ls7e_ard_3-2-0_095073_2021-03-02_final
2021-03-09 08:28:03	ga_ls7e_ard_3-2-0_089085_2021-03-08_final
2021-03-24 10:59:46	ga_ls7e_ard_3-2-0_114081_2021-03-24_final
2021-05-06 09:00:45	ga_ls7e_ard_3-2-0_095086_2021-05-05_final
2021-06-08 09:39:38	ga_ls7e_ard_3-2-0_102082_2021-06-08_final
2021-08-07 09:56:52	ga_ls7e_ard_3-2-0_106076_2021-08-07_final
2021-10-25 10:45:54	ga_ls7e_ard_3-2-0_115077_2021-10-25_final
2021-11-04 09:39:35	ga_ls7e_ard_3-2-0_105068_2021-11-04_final
2021-12-09 08:30:39	ga_ls7e_ard_3-2-1_094074_2021-12-08_final
2021-12-12 10:42:08	ga_ls7e_ard_3-2-1_115079_2021-12-12_final
2022-01-13 09:00:32	ga_ls7e_ard_3-2-1_099080_2022-01-12_final
2022-02-05 09:01:16	ga_ls7e_ard_3-2-1_100072_2022-02-04_final
2022-02-12 09:08:43	ga_ls7e_ard_3-2-1_101077_2022-02-11_final
2022-02-14 08:56:33	ga_ls7e_ard_3-2-1_099078_2022-02-13_final
2022-02-20 09:54:59	ga_ls7e_ard_3-2-1_109071_2022-02-20_final
2022-02-22 09:42:50	ga_ls7e_ard_3-2-1_107072_2022-02-22_final
2022-02-24 09:31:52	ga_ls7e_ard_3-2-1_105076_2022-02-24_final
2022-03-26 08:04:01	ga_ls7e_ard_3-2-1_091080_2022-03-25_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