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

80 results

Time (local)	Label
1999-11-30 10:06:42	ga_ls7e_ard_3-0-0_099079_1999-11-30_final
2000-08-28 10:01:40	ga_ls7e_ard_3-0-0_099071_2000-08-28_final
2001-06-16 09:36:22	ga_ls7e_ard_3-1-0_095073_2001-06-16_final
2001-07-05 10:09:04	ga_ls7e_ard_3-0-0_100078_2001-07-05_final
2002-09-15 10:27:16	ga_ls7e_ard_3-0-0_103081_2002-09-15_final
2002-10-06 09:05:12	ga_ls7e_ard_3-0-0_090077_2002-10-05_final
2002-11-12 09:27:54	ga_ls7e_ard_3-0-0_093087_2002-11-11_final
2003-02-25 09:22:30	ga_ls7e_ard_3-0-0_092087_2003-02-24_final
2003-10-17 09:57:56	ga_ls7e_ard_3-0-0_098084_2003-10-17_final
2003-12-31 11:12:36	ga_ls7e_ard_3-0-0_111068_2003-12-31_final
2004-02-06 09:58:50	ga_ls7e_ard_3-0-0_098084_2004-02-06_final
2004-02-09 10:28:33	ga_ls7e_ard_3-0-0_103081_2004-02-09_final
2004-08-17 10:38:12	ga_ls7e_ard_3-0-0_105075_2004-08-17_final
2004-11-18 10:08:15	ga_ls7e_ard_3-0-0_100077_2004-11-18_final
2004-12-28 10:56:28	ga_ls7e_ard_3-0-0_108073_2004-12-28_final
2005-03-03 10:00:48	ga_ls7e_ard_3-0-0_099072_2005-03-03_final
2005-03-19 09:59:38	ga_ls7e_ard_3-0-0_099069_2005-03-19_final
2005-08-24 10:15:09	ga_ls7e_ard_3-0-0_101078_2005-08-24_final
2005-10-07 09:01:06	ga_ls7e_ard_3-0-0_089079_2005-10-06_final
2005-12-16 10:00:21	ga_ls7e_ard_3-0-0_099071_2005-12-16_final
2005-12-18 09:47:11	ga_ls7e_ard_3-0-0_097069_2005-12-18_final
2006-04-04 11:07:10	ga_ls7e_ard_3-0-0_110067_2006-04-04_final
2006-05-06 11:08:22	ga_ls7e_ard_3-0-0_110070_2006-05-06_final
2006-07-24 10:28:45	ga_ls7e_ard_3-0-0_103080_2006-07-24_final
2006-09-03 10:19:40	ga_ls7e_ard_3-0-0_102073_2006-09-03_final
2006-09-10 10:23:49	ga_ls7e_ard_3-0-0_103068_2006-09-10_final
2006-11-14 09:30:32	ga_ls7e_ard_3-0-0_094073_2006-11-14_final
2007-07-31 11:42:08	ga_ls7e_ard_3-0-0_115077_2007-07-31_final
2007-09-06 10:23:08	ga_ls7e_ard_3-0-0_102081_2007-09-06_final
2007-11-21 10:44:57	ga_ls7e_ard_3-0-0_106073_2007-11-21_final
2008-03-27 10:00:28	ga_ls7e_ard_3-0-0_099070_2008-03-27_final
2009-01-08 09:23:54	ga_ls7e_ard_3-0-0_092088_2009-01-07_final
2009-01-19 10:36:44	ga_ls7e_ard_3-0-0_105069_2009-01-19_final
2009-11-29 09:38:22	ga_ls7e_ard_3-0-0_095075_2009-11-29_final
2010-01-10 10:16:31	ga_ls7e_ard_3-0-0_101076_2010-01-10_final
2010-07-23 10:02:33	ga_ls7e_ard_3-0-0_099070_2010-07-23_final
2010-11-06 09:04:18	ga_ls7e_ard_3-0-0_089078_2010-11-05_final
2010-12-24 09:06:24	ga_ls7e_ard_3-0-0_089082_2010-12-23_final
2010-12-30 10:03:29	ga_ls7e_ard_3-0-0_099070_2010-12-30_final
2011-04-09 09:40:02	ga_ls7e_ard_3-0-0_095072_2011-04-09_final
2011-07-10 10:04:39	ga_ls7e_ard_3-0-0_099072_2011-07-10_final
2011-09-17 10:26:32	ga_ls7e_ard_3-0-0_102081_2011-09-17_final
2012-05-02 09:58:37	ga_ls7e_ard_3-0-0_098070_2012-05-02_final
2012-05-09 10:08:33	ga_ls7e_ard_3-0-0_099079_2012-05-09_final
2012-06-29 10:40:33	ga_ls7e_ard_3-0-0_104082_2012-06-29_final
2012-07-02 11:08:18	ga_ls7e_ard_3-0-0_109074_2012-07-02_final
2012-10-13 11:14:48	ga_ls7e_ard_3-1-0_110072_2012-10-13_final
2013-01-08 11:21:51	ga_ls7e_ard_3-0-0_111073_2013-01-08_final
2013-12-06 11:47:57	ga_ls7e_ard_3-0-0_115076_2013-12-06_final
2014-03-28 10:08:04	ga_ls7e_ard_3-0-0_099072_2014-03-28_final
2014-08-23 09:44:02	ga_ls7e_ard_3-0-0_095072_2014-08-23_final
2015-05-09 10:18:41	ga_ls7e_ard_3-0-0_100077_2015-05-09_final
2015-05-15 09:37:40	ga_ls7e_ard_3-1-0_094067_2015-05-15_final
2015-06-12 10:06:32	ga_ls7e_ard_3-0-0_098077_2015-06-12_final
2015-07-21 10:14:52	ga_ls7e_ard_3-0-0_099082_2015-07-21_final
2015-10-27 11:41:14	ga_ls7e_ard_3-0-0_113080_2015-10-27_final
2017-03-04 10:12:50	ga_ls7e_ard_3-0-0_099071_2017-03-04_final
2017-03-29 10:06:47	ga_ls7e_ard_3-0-0_098071_2017-03-29_final
2017-06-06 10:28:03	ga_ls7e_ard_3-0-0_101077_2017-06-06_final
2017-08-24 11:26:30	ga_ls7e_ard_3-0-0_110084_2017-08-24_final
2018-02-08 10:30:27	ga_ls7e_ard_3-0-0_102070_2018-02-08_final
2018-04-15 10:20:27	ga_ls7e_ard_3-0-0_100078_2018-04-15_final
2018-07-02 10:27:27	ga_ls7e_ard_3-0-0_102068_2018-07-02_final
2018-11-02 10:10:20	ga_ls7e_ard_3-0-0_099078_2018-11-02_final
2019-02-06 10:07:13	ga_ls7e_ard_3-0-0_099077_2019-02-06_final
2019-04-11 10:01:57	ga_ls7e_ard_3-0-0_099069_2019-04-11_final
2019-05-06 11:32:56	ga_ls7e_ard_3-0-0_114067_2019-05-06_final
2019-05-13 10:01:33	ga_ls7e_ard_3-0-0_099071_2019-05-13_final
2019-09-18 09:59:16	ga_ls7e_ard_3-1-0_099078_2019-09-18_final
2019-10-12 09:08:25	ga_ls7e_ard_3-1-0_091077_2019-10-11_final
2019-11-29 10:46:20	ga_ls7e_ard_3-1-0_107080_2019-11-29_final
2019-12-24 08:59:13	ga_ls7e_ard_3-1-0_090078_2019-12-23_final
2020-04-01 11:01:49	ga_ls7e_ard_3-1-0_111073_2020-04-01_final
2020-04-07 10:25:35	ga_ls7e_ard_3-1-0_105076_2020-04-07_final
2020-07-10 10:29:57	ga_ls7e_ard_3-1-0_107070_2020-07-10_final
2021-02-04 09:23:00	ga_ls7e_ard_3-2-0_098077_2021-02-03_final
2021-07-15 09:52:42	ga_ls7e_ard_3-2-0_105076_2021-07-15_final
2021-09-07 09:13:42	ga_ls7e_ard_3-2-0_099083_2021-09-06_final
2022-03-04 08:40:04	ga_ls7e_ard_3-2-1_097072_2022-03-03_final
2022-03-25 08:58:32	ga_ls7e_ard_3-2-1_100077_2022-03-24_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