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

87 results

Time (local)	Label
1999-08-10 10:03:14	ga_ls7e_ard_3-0-0_099070_1999-08-10_final
1999-12-26 09:04:09	ga_ls7e_ard_3-0-0_089077_1999-12-25_final
2000-02-23 10:21:28	ga_ls7e_ard_3-0-0_102070_2000-02-23_final
2000-03-05 10:06:07	ga_ls7e_ard_3-0-0_099078_2000-03-05_final
2001-01-27 10:52:17	ga_ls7e_ard_3-0-0_107075_2001-01-27_final
2001-02-12 10:52:11	ga_ls7e_ard_3-0-0_107075_2001-02-12_final
2001-09-17 10:44:28	ga_ls7e_ard_3-0-0_106076_2001-09-17_final
2001-11-10 10:06:57	ga_ls7e_ard_3-0-0_100075_2001-11-10_final
2001-11-20 10:44:30	ga_ls7e_ard_3-0-0_106076_2001-11-20_final
2002-05-22 10:50:28	ga_ls7e_ard_3-0-0_107075_2002-05-22_final
2002-07-02 10:44:25	ga_ls7e_ard_3-0-0_106076_2002-07-02_final
2002-07-26 09:55:59	ga_ls7e_ard_3-0-0_098079_2002-07-26_final
2002-10-21 09:58:07	ga_ls7e_ard_3-0-0_099070_2002-10-21_final
2003-01-16 10:08:08	ga_ls7e_ard_3-0-0_100078_2003-01-16_final
2003-02-22 10:23:43	ga_ls7e_ard_3-0-0_103070_2003-02-22_final
2003-07-31 09:39:02	ga_ls7e_ard_3-0-0_096067_2003-07-31_final
2003-10-07 10:55:41	ga_ls7e_ard_3-0-0_108074_2003-10-07_final
2003-11-26 10:42:16	ga_ls7e_ard_3-0-0_106070_2003-11-26_final
2003-12-27 11:40:53	ga_ls7e_ard_3-0-0_115077_2003-12-27_final
2004-04-04 10:29:41	ga_ls7e_ard_3-0-0_104068_2004-04-04_final
2004-08-31 10:50:30	ga_ls7e_ard_3-0-0_107075_2004-08-31_final
2004-09-07 09:23:21	ga_ls7e_ard_3-0-0_092089_2004-09-06_final
2004-12-30 10:44:55	ga_ls7e_ard_3-1-0_106075_2004-12-30_final
2005-01-22 10:51:34	ga_ls7e_ard_3-0-0_107076_2005-01-22_final
2005-02-02 10:29:54	ga_ls7e_ard_3-0-0_104068_2005-02-02_final
2005-03-07 11:12:59	ga_ls7e_ard_3-0-0_111067_2005-03-07_final
2005-03-19 10:05:37	ga_ls7e_ard_3-0-0_099084_2005-03-19_final
2005-04-19 10:57:28	ga_ls7e_ard_3-1-0_108075_2005-04-19_final
2005-07-17 10:53:35	ga_ls7e_ard_3-0-0_107081_2005-07-17_final
2005-07-25 10:03:20	ga_ls7e_ard_3-0-0_099079_2005-07-25_final
2005-09-10 10:54:39	ga_ls7e_ard_3-0-0_108069_2005-09-10_final
2005-11-04 11:02:18	ga_ls7e_ard_3-0-0_109072_2005-11-04_final
2005-12-03 10:34:25	ga_ls7e_ard_3-0-0_104079_2005-12-03_final
2006-02-10 10:51:48	ga_ls7e_ard_3-0-0_107075_2006-02-10_final
2006-09-29 10:54:59	ga_ls7e_ard_3-0-0_108069_2006-09-29_final
2006-11-21 11:15:17	ga_ls7e_ard_3-0-0_111072_2006-11-21_final
2006-11-27 09:04:34	ga_ls7e_ard_3-0-0_089085_2006-11-26_final
2007-05-16 09:37:34	ga_ls7e_ard_3-0-0_095074_2007-05-16_final
2007-06-15 11:32:42	ga_ls7e_ard_3-0-0_113084_2007-06-15_final
2007-06-16 10:33:05	ga_ls7e_ard_3-0-0_104074_2007-06-16_final
2007-07-02 10:32:40	ga_ls7e_ard_3-0-0_104073_2007-07-02_final
2007-07-08 11:37:15	ga_ls7e_ard_3-0-0_114080_2007-07-08_final
2007-07-24 09:53:07	ga_ls7e_ard_3-0-0_098067_2007-07-24_final
2008-07-01 11:41:34	ga_ls7e_ard_3-0-0_115077_2008-07-01_final
2008-07-30 11:06:22	ga_ls7e_ard_3-0-0_110067_2008-07-30_final
2008-12-30 11:02:56	ga_ls7e_ard_3-0-0_109073_2008-12-30_final
2009-03-06 10:50:15	ga_ls7e_ard_3-0-0_107071_2009-03-06_final
2009-10-18 09:01:54	ga_ls7e_ard_3-0-0_089078_2009-10-17_final
2011-01-07 10:56:59	ga_ls7e_ard_3-0-0_107080_2011-01-07_final
2011-03-21 09:12:15	ga_ls7e_ard_3-0-0_090080_2011-03-20_final
2011-03-29 10:00:32	ga_ls7e_ard_3-0-0_098077_2011-03-29_final
2011-09-29 09:13:08	ga_ls7e_ard_3-0-0_090083_2011-09-28_final
2011-11-02 09:00:29	ga_ls7e_ard_3-0-0_088082_2011-11-01_final
2011-12-15 10:20:04	ga_ls7e_ard_3-0-0_101079_2011-12-15_final
2012-02-17 10:19:37	ga_ls7e_ard_3-0-0_101077_2012-02-17_final
2012-07-11 09:24:59	ga_ls7e_ard_3-0-0_092078_2012-07-10_final
2013-01-14 10:45:08	ga_ls7e_ard_3-0-0_105074_2013-01-14_final
2013-12-17 09:48:30	ga_ls7e_ard_3-0-0_096071_2013-12-17_final
2014-06-04 11:26:17	ga_ls7e_ard_3-0-0_111081_2014-06-04_final
2014-07-23 10:26:26	ga_ls7e_ard_3-0-0_102070_2014-07-23_final
2015-05-10 11:04:45	ga_ls7e_ard_3-0-0_107084_2015-05-10_final
2015-05-15 11:19:44	ga_ls7e_ard_3-0-0_110075_2015-05-15_final
2015-07-05 10:14:00	ga_ls7e_ard_3-0-0_099080_2015-07-05_final
2015-11-23 11:22:20	ga_ls7e_ard_3-0-0_110078_2015-11-23_final
2016-01-19 11:19:24	ga_ls7e_ard_3-0-0_109084_2016-01-19_final
2017-02-11 11:36:58	ga_ls7e_ard_3-0-0_112081_2017-02-11_final
2017-02-27 11:31:32	ga_ls7e_ard_3-0-0_112067_2017-02-27_final
2017-03-20 10:16:07	ga_ls7e_ard_3-0-0_099079_2017-03-20_final
2017-04-24 10:44:50	ga_ls7e_ard_3-0-0_104073_2017-04-24_final
2017-09-02 11:16:44	ga_ls7e_ard_3-0-0_109075_2017-09-02_final
2018-04-08 11:52:28	ga_ls7e_ard_3-0-0_115076_2018-04-08_final
2018-08-23 11:45:50	ga_ls7e_ard_3-0-0_114081_2018-08-23_final
2018-12-13 11:43:12	ga_ls7e_ard_3-0-0_114081_2018-12-13_final
2018-12-22 09:53:06	ga_ls7e_ard_3-0-0_097069_2018-12-22_final
2019-03-28 09:51:17	ga_ls7e_ard_3-1-0_097072_2019-03-28_final
2019-05-03 11:05:44	ga_ls7e_ard_3-0-0_109076_2019-05-03_final
2019-10-11 10:04:29	ga_ls7e_ard_3-1-0_100078_2019-10-11_final
2020-05-14 09:06:38	ga_ls7e_ard_3-1-0_092085_2020-05-13_final
2020-06-22 09:09:18	ga_ls7e_ard_3-1-0_093082_2020-06-21_final
2020-07-06 09:17:14	ga_ls7e_ard_3-1-0_095073_2020-07-05_final
2020-08-27 08:54:50	ga_ls7e_ard_3-1-0_091087_2020-08-26_final
2020-11-28 09:52:38	ga_ls7e_ard_3-1-0_102077_2020-11-28_final
2020-12-20 09:15:54	ga_ls7e_ard_3-1-0_096082_2020-12-19_final
2020-12-26 10:12:29	ga_ls7e_ard_3-1-0_106070_2020-12-26_final
2021-06-28 10:50:33	ga_ls7e_ard_3-2-0_114078_2021-06-28_final
2022-02-12 09:08:43	ga_ls7e_ard_3-2-1_101077_2022-02-11_final
2022-03-04 08:40:28	ga_ls7e_ard_3-2-1_097073_2022-03-03_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