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

88 results

Time (local)	Label
2000-01-10 09:57:23	ga_ls7e_ard_3-0-0_098071_2000-01-10_final
2000-01-15 10:18:18	ga_ls7e_ard_3-0-0_101077_2000-01-15_final
2000-06-29 11:16:57	ga_ls7e_ard_3-0-0_111072_2000-06-29_final
2000-08-05 09:58:28	ga_ls7e_ard_3-0-0_098078_2000-08-05_final
2000-10-21 09:25:04	ga_ls7e_ard_3-0-0_093074_2000-10-20_final
2001-12-15 09:00:23	ga_ls7e_ard_3-0-0_089078_2001-12-14_final
2002-03-06 09:46:17	ga_ls7e_ard_3-0-0_096084_2002-03-06_final
2003-01-13 11:14:29	ga_ls7e_ard_3-0-0_111074_2003-01-13_final
2003-02-09 10:56:12	ga_ls7e_ard_3-0-0_108074_2003-02-09_final
2004-05-13 10:38:12	ga_ls7e_ard_3-0-0_105074_2004-05-13_final
2004-07-07 10:44:35	ga_ls7e_ard_3-1-0_106075_2004-07-07_final
2004-09-10 09:46:14	ga_ls7e_ard_3-0-0_097069_2004-09-10_final
2004-12-05 09:12:25	ga_ls7e_ard_3-0-0_091076_2004-12-04_final
2004-12-30 09:10:26	ga_ls7e_ard_3-0-0_090086_2004-12-29_final
2005-02-17 09:47:11	ga_ls7e_ard_3-0-0_097069_2005-02-17_final
2005-03-12 09:53:51	ga_ls7e_ard_3-0-0_098070_2005-03-12_final
2005-04-05 10:42:49	ga_ls7e_ard_3-0-0_106069_2005-04-05_final
2005-05-30 09:13:15	ga_ls7e_ard_3-0-0_091077_2005-05-29_final
2005-05-31 09:59:17	ga_ls7e_ard_3-0-0_098084_2005-05-31_final
2005-06-26 10:35:25	ga_ls7e_ard_3-0-0_104082_2005-06-26_final
2005-09-20 09:53:13	ga_ls7e_ard_3-0-0_098070_2005-09-20_final
2005-10-26 09:34:41	ga_ls7e_ard_3-0-0_094085_2005-10-26_final
2005-11-24 10:37:45	ga_ls7e_ard_3-0-0_105072_2005-11-24_final
2005-12-07 10:09:42	ga_ls7e_ard_3-0-0_100079_2005-12-07_final
2005-12-14 10:12:42	ga_ls7e_ard_3-0-0_101071_2005-12-14_final
2007-03-25 11:41:20	ga_ls7e_ard_3-0-0_115074_2007-03-25_final
2008-01-09 11:26:01	ga_ls7e_ard_3-0-0_113067_2008-01-09_final
2008-08-16 10:17:02	ga_ls7e_ard_3-0-0_101083_2008-08-16_final
2009-03-29 09:24:30	ga_ls7e_ard_3-0-0_092088_2009-03-28_final
2009-06-14 10:29:28	ga_ls7e_ard_3-0-0_103080_2009-06-14_final
2009-09-29 10:08:14	ga_ls7e_ard_3-0-0_100074_2009-09-29_final
2009-11-01 09:14:05	ga_ls7e_ard_3-0-0_091077_2009-10-31_final
2010-02-17 09:44:19	ga_ls7e_ard_3-0-0_095087_2010-02-17_final
2010-03-09 09:18:58	ga_ls7e_ard_3-0-0_091085_2010-03-08_final
2010-06-14 09:55:05	ga_ls7e_ard_3-0-0_098067_2010-06-14_final
2010-08-08 10:02:56	ga_ls7e_ard_3-0-0_099071_2010-08-08_final
2010-10-27 10:05:36	ga_ls7e_ard_3-0-0_099077_2010-10-27_final
2011-01-04 10:22:28	ga_ls7e_ard_3-0-0_102071_2011-01-04_final
2011-01-10 11:25:31	ga_ls7e_ard_3-0-0_112074_2011-01-10_final
2011-03-01 11:12:38	ga_ls7e_ard_3-1-0_110072_2011-03-01_final
2011-03-21 10:47:32	ga_ls7e_ard_3-0-0_106071_2011-03-21_final
2011-04-04 09:27:04	ga_ls7e_ard_3-0-0_092086_2011-04-03_final
2011-05-24 09:12:41	ga_ls7e_ard_3-0-0_090081_2011-05-23_final
2011-12-11 10:40:23	ga_ls7e_ard_3-0-0_105068_2011-12-11_final
2012-04-25 11:36:20	ga_ls7e_ard_3-0-0_113083_2012-04-25_final
2012-05-24 09:25:40	ga_ls7e_ard_3-0-0_092080_2012-05-23_final
2012-10-08 09:23:18	ga_ls7e_ard_3-0-0_091087_2012-10-07_final
2012-12-19 10:12:02	ga_ls7e_ard_3-0-0_099084_2012-12-19_final
2013-02-25 11:23:50	ga_ls7e_ard_3-0-0_111078_2013-02-25_final
2013-08-05 10:24:07	ga_ls7e_ard_3-0-0_102070_2013-08-05_final
2013-10-03 10:06:34	ga_ls7e_ard_3-0-0_099071_2013-10-03_final
2014-03-12 10:07:56	ga_ls7e_ard_3-0-0_099072_2014-03-12_final
2014-04-02 10:29:50	ga_ls7e_ard_3-0-0_102080_2014-04-02_final
2014-12-30 10:30:57	ga_ls7e_ard_3-0-0_102079_2014-12-30_final
2015-09-13 09:31:58	ga_ls7e_ard_3-0-0_093067_2015-09-13_final
2015-11-07 11:19:16	ga_ls7e_ard_3-0-0_110071_2015-11-07_final
2015-12-14 11:39:36	ga_ls7e_ard_3-0-0_113074_2015-12-14_final
2016-01-09 10:40:35	ga_ls7e_ard_3-0-0_103080_2016-01-09_final
2016-07-13 11:16:40	ga_ls7e_ard_3-0-0_109075_2016-07-13_final
2016-09-07 10:29:47	ga_ls7e_ard_3-0-0_101081_2016-09-07_final
2016-10-04 10:06:54	ga_ls7e_ard_3-0-0_098070_2016-10-04_final
2016-11-12 10:18:29	ga_ls7e_ard_3-0-0_099084_2016-11-12_final
2016-12-08 09:15:47	ga_ls7e_ard_3-0-0_089082_2016-12-07_final
2017-02-11 11:34:10	ga_ls7e_ard_3-0-0_112074_2017-02-11_final
2018-04-24 10:10:55	ga_ls7e_ard_3-0-0_099070_2018-04-24_final
2018-05-04 10:50:12	ga_ls7e_ard_3-0-0_105076_2018-05-04_final
2018-07-29 10:09:37	ga_ls7e_ard_3-0-0_099071_2018-07-29_final
2018-10-02 10:55:06	ga_ls7e_ard_3-0-0_106080_2018-10-02_final
2018-11-08 11:10:00	ga_ls7e_ard_3-0-0_109073_2018-11-08_final
2018-12-16 10:31:33	ga_ls7e_ard_3-0-0_103072_2018-12-16_final
2019-04-13 11:34:00	ga_ls7e_ard_3-0-0_113083_2019-04-13_final
2019-04-28 10:46:59	ga_ls7e_ard_3-1-0_106075_2019-04-28_final
2019-06-11 11:08:28	ga_ls7e_ard_3-0-0_110071_2019-06-11_final
2019-07-20 09:36:41	ga_ls7e_ard_3-0-0_095077_2019-07-20_final
2019-09-24 09:25:07	ga_ls7e_ard_3-1-0_093086_2019-09-23_final
2019-10-26 09:23:46	ga_ls7e_ard_3-1-0_093086_2019-10-25_final
2020-04-28 10:46:05	ga_ls7e_ard_3-1-0_108084_2020-04-28_final
2020-08-12 09:32:41	ga_ls7e_ard_3-1-0_098071_2020-08-12_final
2020-08-25 09:07:20	ga_ls7e_ard_3-1-0_093087_2020-08-24_final
2020-11-08 08:42:17	ga_ls7e_ard_3-1-0_090083_2020-11-07_final
2020-12-24 08:53:17	ga_ls7e_ard_3-1-0_092088_2020-12-23_final
2021-01-03 11:02:58	ga_ls7e_ard_3-1-0_114074_2021-01-03_final
2021-02-13 10:55:02	ga_ls7e_ard_3-2-0_113077_2021-02-13_final
2021-03-24 10:59:46	ga_ls7e_ard_3-2-0_114081_2021-03-24_final
2021-05-12 08:20:23	ga_ls7e_ard_3-2-0_089079_2021-05-11_final
2021-05-15 10:28:18	ga_ls7e_ard_3-2-0_110075_2021-05-15_final
2022-02-20 08:18:06	ga_ls7e_ard_3-2-1_093076_2022-02-19_final
2022-03-15 10:00:54	ga_ls7e_ard_3-2-1_110076_2022-03-15_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