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

95 results

Time (local)	Label
1999-09-19 09:17:21	ga_ls7e_ard_3-0-0_091079_1999-09-18_final
1999-10-05 09:17:55	ga_ls7e_ard_3-0-0_091080_1999-10-04_final
1999-10-23 09:08:57	ga_ls7e_ard_3-0-0_089089_1999-10-22_final
1999-11-24 09:06:28	ga_ls7e_ard_3-0-0_089083_1999-11-23_final
1999-12-27 09:43:24	ga_ls7e_ard_3-0-0_096067_1999-12-27_final
2000-05-08 11:43:22	ga_ls7e_ard_3-0-0_115075_2000-05-08_final
2001-05-15 09:34:17	ga_ls7e_ard_3-0-0_095067_2001-05-15_final
2001-08-12 09:27:08	ga_ls7e_ard_3-1-0_094067_2001-08-11_final
2001-08-15 09:59:33	ga_ls7e_ard_3-0-0_099071_2001-08-15_final
2001-11-13 09:04:35	ga_ls7e_ard_3-1-0_089089_2001-11-12_final
2002-03-27 11:41:37	ga_ls7e_ard_3-0-0_115079_2002-03-27_final
2002-04-16 09:33:11	ga_ls7e_ard_3-0-0_095067_2002-04-16_final
2002-09-07 09:32:23	ga_ls7e_ard_3-0-0_095067_2002-09-07_final
2003-01-09 09:57:51	ga_ls7e_ard_3-0-0_099068_2003-01-09_final
2003-04-01 09:46:17	ga_ls7e_ard_3-0-0_097069_2003-04-01_final
2003-11-09 09:59:36	ga_ls7e_ard_3-0-0_099072_2003-11-09_final
2003-11-20 09:40:26	ga_ls7e_ard_3-0-0_096070_2003-11-20_final
2003-11-29 09:33:05	ga_ls7e_ard_3-0-0_095067_2003-11-29_final
2004-01-19 10:06:17	ga_ls7e_ard_3-0-0_100072_2004-01-19_final
2004-02-06 11:36:31	ga_ls7e_ard_3-0-0_114081_2004-02-06_final
2004-09-04 10:28:09	ga_ls7e_ard_3-0-0_103081_2004-09-04_final
2005-01-25 09:41:10	ga_ls7e_ard_3-0-0_096070_2005-01-25_final
2005-10-28 10:59:38	ga_ls7e_ard_3-0-0_108081_2005-10-28_final
2005-11-17 10:29:56	ga_ls7e_ard_3-0-0_104068_2005-11-17_final
2005-11-19 10:22:46	ga_ls7e_ard_3-0-0_102081_2005-11-19_final
2006-03-01 11:25:33	ga_ls7e_ard_3-0-0_112082_2006-03-01_final
2006-04-01 09:02:11	ga_ls7e_ard_3-0-0_089079_2006-03-31_final
2006-12-20 09:12:05	ga_ls7e_ard_3-0-0_090088_2006-12-19_final
2006-12-24 10:20:16	ga_ls7e_ard_3-0-0_102073_2006-12-24_final
2006-12-24 10:23:27	ga_ls7e_ard_3-0-0_102081_2006-12-24_final
2007-05-18 09:25:35	ga_ls7e_ard_3-0-0_093075_2007-05-17_final
2007-05-28 10:01:23	ga_ls7e_ard_3-0-0_099072_2007-05-28_final
2007-06-04 10:07:34	ga_ls7e_ard_3-0-0_100072_2007-06-04_final
2007-09-25 10:54:20	ga_ls7e_ard_3-0-0_107082_2007-09-25_final
2008-02-28 09:37:49	ga_ls7e_ard_3-0-0_095075_2008-02-28_final
2008-03-26 10:56:30	ga_ls7e_ard_3-0-0_108071_2008-03-26_final
2008-05-02 11:15:21	ga_ls7e_ard_3-0-0_111072_2008-05-02_final
2008-11-26 09:33:42	ga_ls7e_ard_3-0-0_095067_2008-11-26_final
2008-12-05 11:13:17	ga_ls7e_ard_3-0-0_110084_2008-12-05_final
2009-02-04 10:38:47	ga_ls7e_ard_3-0-0_105074_2009-02-04_final
2009-03-04 09:29:18	ga_ls7e_ard_3-0-0_093085_2009-03-03_final
2009-04-08 09:54:51	ga_ls7e_ard_3-0-0_098071_2009-04-08_final
2009-04-24 11:37:24	ga_ls7e_ard_3-0-0_114080_2009-04-24_final
2009-07-29 11:37:40	ga_ls7e_ard_3-0-0_114081_2009-07-29_final
2009-12-21 09:04:25	ga_ls7e_ard_3-0-0_089082_2009-12-20_final
2010-06-11 11:05:52	ga_ls7e_ard_3-0-0_109074_2010-06-11_final
2010-08-31 10:11:34	ga_ls7e_ard_3-0-0_100077_2010-08-31_final
2010-12-04 11:10:39	ga_ls7e_ard_3-0-0_109084_2010-12-04_final
2011-01-03 09:37:36	ga_ls7e_ard_3-0-0_095067_2011-01-03_final
2011-04-11 11:07:21	ga_ls7e_ard_3-0-0_109074_2011-04-11_final
2011-06-07 11:04:44	ga_ls7e_ard_3-0-0_108083_2011-06-07_final
2011-08-25 10:21:16	ga_ls7e_ard_3-0-0_101083_2011-08-25_final
2011-09-17 10:26:32	ga_ls7e_ard_3-0-0_102081_2011-09-17_final
2011-09-29 10:46:26	ga_ls7e_ard_3-0-0_106069_2011-09-29_final
2012-01-29 09:47:01	ga_ls7e_ard_3-0-0_096073_2012-01-29_final
2012-06-04 10:43:21	ga_ls7e_ard_3-0-0_105074_2012-06-04_final
2012-08-23 09:06:55	ga_ls7e_ard_3-0-0_089078_2012-08-22_final
2013-01-17 09:34:23	ga_ls7e_ard_3-1-0_094067_2013-01-17_final
2013-05-28 10:06:31	ga_ls7e_ard_3-0-0_099071_2013-05-28_final
2013-06-24 09:46:12	ga_ls7e_ard_3-0-0_096067_2013-06-24_final
2014-06-30 10:24:58	ga_ls7e_ard_3-0-0_101082_2014-06-30_final
2014-08-16 11:14:46	ga_ls7e_ard_3-0-0_110067_2014-08-16_final
2014-11-30 10:18:03	ga_ls7e_ard_3-0-0_100078_2014-11-30_final
2014-12-09 11:51:11	ga_ls7e_ard_3-0-0_115079_2014-12-09_final
2015-01-17 10:20:15	ga_ls7e_ard_3-0-0_100083_2015-01-17_final
2015-01-27 10:51:25	ga_ls7e_ard_3-0-0_106068_2015-01-27_final
2016-04-15 09:42:53	ga_ls7e_ard_3-0-0_094073_2016-04-15_final
2016-08-12 09:47:02	ga_ls7e_ard_3-0-0_095067_2016-08-12_final
2016-12-20 09:41:38	ga_ls7e_ard_3-0-0_093085_2016-12-20_final
2017-01-12 09:40:25	ga_ls7e_ard_3-1-0_094067_2017-01-12_final
2017-02-26 09:14:10	ga_ls7e_ard_3-0-0_089079_2017-02-25_final
2017-05-02 09:59:49	ga_ls7e_ard_3-0-0_096084_2017-05-02_final
2017-05-18 09:53:05	ga_ls7e_ard_3-0-0_096067_2017-05-18_final
2017-11-24 10:06:17	ga_ls7e_ard_3-0-0_098069_2017-11-24_final
2018-01-29 09:54:20	ga_ls7e_ard_3-0-0_096072_2018-01-29_final
2018-05-09 09:32:57	ga_ls7e_ard_3-0-0_092084_2018-05-09_final
2018-11-26 11:01:12	ga_ls7e_ard_3-0-0_107083_2018-11-26_final
2018-12-04 11:48:50	ga_ls7e_ard_3-0-0_115079_2018-12-04_final
2018-12-26 09:30:39	ga_ls7e_ard_3-0-0_093075_2018-12-26_final
2019-01-21 10:04:55	ga_ls7e_ard_3-0-0_099070_2019-01-21_final
2019-12-02 09:33:01	ga_ls7e_ard_3-1-0_096067_2019-12-02_final
2019-12-25 09:43:13	ga_ls7e_ard_3-1-0_097080_2019-12-25_final
2020-02-18 11:20:18	ga_ls7e_ard_3-1-0_114067_2020-02-18_final
2020-03-19 09:53:46	ga_ls7e_ard_3-1-0_100071_2020-03-19_final
2020-04-06 09:39:35	ga_ls7e_ard_3-1-0_098069_2020-04-06_final
2020-08-03 09:42:37	ga_ls7e_ard_3-1-0_099079_2020-08-03_final
2020-08-28 11:08:56	ga_ls7e_ard_3-1-0_114067_2020-08-28_final
2020-12-15 10:33:50	ga_ls7e_ard_3-1-0_109075_2020-12-15_final
2021-03-26 09:02:46	ga_ls7e_ard_3-2-0_096067_2021-03-25_final
2021-06-29 08:17:58	ga_ls7e_ard_3-2-0_089083_2021-06-28_final
2021-08-19 08:38:03	ga_ls7e_ard_3-2-0_094067_2021-08-18_final
2021-11-07 10:16:35	ga_ls7e_ard_3-2-0_110084_2021-11-07_final
2021-11-17 09:13:25	ga_ls7e_ard_3-2-1_100083_2021-11-16_final
2022-03-10 08:05:59	ga_ls7e_ard_3-2-1_091081_2022-03-09_final
2022-03-29 10:14:19	ga_ls7e_ard_3-2-1_112082_2022-03-29_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