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

85 results

Time (local)	Label
1999-11-20 11:07:22	ga_ls7e_ard_3-0-0_109076_1999-11-20_final
1999-12-08 09:19:46	ga_ls7e_ard_3-0-0_091085_1999-12-07_final
2000-01-31 10:16:41	ga_ls7e_ard_3-0-0_101073_2000-01-31_final
2000-12-07 10:23:58	ga_ls7e_ard_3-0-0_102082_2000-12-07_final
2001-08-16 10:41:37	ga_ls7e_ard_3-0-0_106068_2001-08-16_final
2002-04-28 10:02:20	ga_ls7e_ard_3-0-0_099078_2002-04-28_final
2002-08-12 09:01:05	ga_ls7e_ard_3-1-0_089081_2002-08-11_final
2002-11-05 09:22:07	ga_ls7e_ard_3-0-0_092088_2002-11-04_final
2003-08-16 09:46:35	ga_ls7e_ard_3-1-0_096086_2003-08-16_final
2003-11-23 10:16:32	ga_ls7e_ard_3-0-0_101083_2003-11-23_final
2003-12-30 10:34:55	ga_ls7e_ard_3-0-0_104082_2003-12-30_final
2004-01-30 09:48:38	ga_ls7e_ard_3-0-0_097074_2004-01-30_final
2004-03-18 11:27:43	ga_ls7e_ard_3-0-0_113074_2004-03-18_final
2004-09-10 11:27:07	ga_ls7e_ard_3-0-0_113074_2004-09-10_final
2004-10-26 10:04:42	ga_ls7e_ard_3-0-0_099084_2004-10-26_final
2005-03-03 10:00:24	ga_ls7e_ard_3-0-0_099071_2005-03-03_final
2005-10-19 11:02:54	ga_ls7e_ard_3-0-0_109074_2005-10-19_final
2005-11-13 10:57:49	ga_ls7e_ard_3-0-0_108076_2005-11-13_final
2006-02-09 10:06:56	ga_ls7e_ard_3-0-0_100071_2006-02-09_final
2006-03-19 11:14:00	ga_ls7e_ard_3-0-0_110084_2006-03-19_final
2006-03-22 09:59:37	ga_ls7e_ard_3-0-0_099068_2006-03-22_final
2006-05-11 09:54:01	ga_ls7e_ard_3-0-0_097085_2006-05-11_final
2006-06-04 09:06:09	ga_ls7e_ard_3-1-0_089089_2006-06-03_final
2006-07-13 09:12:30	ga_ls7e_ard_3-0-0_090090_2006-07-12_final
2006-08-23 10:39:27	ga_ls7e_ard_3-0-0_105076_2006-08-23_final
2006-10-27 11:21:56	ga_ls7e_ard_3-0-0_112074_2006-10-27_final
2006-12-02 09:22:21	ga_ls7e_ard_3-0-0_092083_2006-12-01_final
2007-01-08 11:15:30	ga_ls7e_ard_3-0-0_111072_2007-01-08_final
2007-01-21 10:47:50	ga_ls7e_ard_3-0-0_106080_2007-01-21_final
2007-01-24 11:16:22	ga_ls7e_ard_3-0-0_111074_2007-01-24_final
2007-02-26 10:22:56	ga_ls7e_ard_3-0-0_102079_2007-02-26_final
2008-08-19 09:11:49	ga_ls7e_ard_3-0-0_090090_2008-08-18_final
2008-10-30 09:56:15	ga_ls7e_ard_3-0-0_098078_2008-10-30_final
2008-11-14 09:16:24	ga_ls7e_ard_3-1-0_091086_2008-11-13_final
2009-02-10 09:58:59	ga_ls7e_ard_3-0-0_099067_2009-02-10_final
2009-02-27 09:11:07	ga_ls7e_ard_3-0-0_090086_2009-02-26_final
2009-06-08 11:03:22	ga_ls7e_ard_3-0-0_109072_2009-06-08_final
2009-06-15 09:34:38	ga_ls7e_ard_3-0-0_094082_2009-06-15_final
2009-08-27 11:07:29	ga_ls7e_ard_3-0-0_109083_2009-08-27_final
2009-12-04 09:55:22	ga_ls7e_ard_3-0-0_098071_2009-12-04_final
2010-06-06 10:44:56	ga_ls7e_ard_3-0-0_106068_2010-06-06_final
2010-07-27 11:21:54	ga_ls7e_ard_3-0-0_111083_2010-07-27_final
2010-10-11 10:02:16	ga_ls7e_ard_3-0-0_099069_2010-10-11_final
2011-01-10 09:51:02	ga_ls7e_ard_3-0-0_096085_2011-01-10_final
2011-06-23 09:26:36	ga_ls7e_ard_3-0-0_092085_2011-06-22_final
2012-02-03 10:04:48	ga_ls7e_ard_3-0-0_099071_2012-02-03_final
2012-11-13 10:35:21	ga_ls7e_ard_3-0-0_103081_2012-11-13_final
2013-06-12 11:06:01	ga_ls7e_ard_3-0-0_108081_2013-06-12_final
2013-08-01 10:52:50	ga_ls7e_ard_3-0-0_106080_2013-08-01_final
2013-12-16 09:10:02	ga_ls7e_ard_3-0-0_089083_2013-12-15_final
2014-04-14 10:55:26	ga_ls7e_ard_3-0-0_106082_2014-04-14_final
2014-08-24 10:31:16	ga_ls7e_ard_3-0-0_102082_2014-08-24_final
2015-01-16 09:30:37	ga_ls7e_ard_3-0-0_093067_2015-01-16_final
2015-08-07 10:57:00	ga_ls7e_ard_3-0-0_106079_2015-08-07_final
2015-11-02 09:26:08	ga_ls7e_ard_3-0-0_091082_2015-11-01_final
2017-08-04 10:12:46	ga_ls7e_ard_3-0-0_098085_2017-08-04_final
2017-09-18 11:15:06	ga_ls7e_ard_3-0-0_109071_2017-09-18_final
2018-04-28 11:30:35	ga_ls7e_ard_3-0-0_111084_2018-04-28_final
2018-07-03 11:16:40	ga_ls7e_ard_3-0-0_109083_2018-07-03_final
2018-10-14 09:38:15	ga_ls7e_ard_3-0-0_094074_2018-10-14_final
2018-12-15 11:28:00	ga_ls7e_ard_3-0-0_112074_2018-12-15_final
2019-05-19 11:04:19	ga_ls7e_ard_3-0-0_109074_2019-05-19_final
2019-08-18 10:40:17	ga_ls7e_ard_3-0-0_106069_2019-08-18_final
2019-10-01 11:09:05	ga_ls7e_ard_3-1-0_110084_2019-10-01_final
2019-11-27 10:56:23	ga_ls7e_ard_3-1-0_109074_2019-11-27_final
2019-12-14 09:58:44	ga_ls7e_ard_3-1-0_100071_2019-12-14_final
2020-01-21 11:03:47	ga_ls7e_ard_3-1-0_110084_2020-01-21_final
2020-05-09 10:23:41	ga_ls7e_ard_3-1-0_105076_2020-05-09_final
2020-05-16 10:29:02	ga_ls7e_ard_3-1-0_106075_2020-05-16_final
2020-07-22 10:55:32	ga_ls7e_ard_3-1-0_111074_2020-07-22_final
2020-08-02 10:36:18	ga_ls7e_ard_3-1-0_108074_2020-08-02_final
2020-10-21 10:33:56	ga_ls7e_ard_3-1-0_108081_2020-10-21_final
2020-12-24 08:50:29	ga_ls7e_ard_3-1-0_092081_2020-12-23_final
2021-02-01 10:33:59	ga_ls7e_ard_3-2-0_109084_2021-02-01_final
2021-03-15 09:23:00	ga_ls7e_ard_3-2-0_099069_2021-03-14_final
2021-05-04 09:06:30	ga_ls7e_ard_3-2-0_097069_2021-05-03_final
2021-07-31 09:51:19	ga_ls7e_ard_3-2-0_105076_2021-07-31_final
2021-12-01 09:22:03	ga_ls7e_ard_3-2-1_102077_2021-11-30_final
2021-12-03 09:07:54	ga_ls7e_ard_3-2-1_100073_2021-12-02_final
2022-01-16 09:26:22	ga_ls7e_ard_3-2-1_104068_2022-01-15_final
2022-02-09 08:41:44	ga_ls7e_ard_3-2-1_096086_2022-02-08_final
2022-03-03 08:03:17	ga_ls7e_ard_3-2-1_090088_2022-03-02_final
2022-03-17 08:14:38	ga_ls7e_ard_3-2-1_092089_2022-03-16_final
2022-03-18 08:49:49	ga_ls7e_ard_3-2-1_099069_2022-03-17_final
2022-04-02 09:48:48	ga_ls7e_ard_3-2-1_108081_2022-04-02_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