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

First 100 results (query limit)

Time (local)	Label
2000-02-04 11:34:49	ga_ls7e_ard_3-0-0_113083_2000-02-04_final
2000-08-05 11:35:45	ga_ls7e_ard_3-0-0_114074_2000-08-05_final
2001-04-02 11:37:07	ga_ls7e_ard_3-0-0_114080_2001-04-02_final
2001-06-21 11:35:18	ga_ls7e_ard_3-0-0_114077_2001-06-21_final
2002-01-26 09:35:39	ga_ls7e_ard_3-1-0_095073_2002-01-26_final
2002-11-10 09:40:16	ga_ls7e_ard_3-0-0_095087_2002-11-10_final
2002-12-12 09:38:14	ga_ls7e_ard_3-0-0_095081_2002-12-12_final
2003-05-01 11:40:22	ga_ls7e_ard_3-0-0_115076_2003-05-01_final
2003-05-05 09:35:34	ga_ls7e_ard_3-1-0_095073_2003-05-05_final
2004-01-16 09:40:56	ga_ls7e_ard_3-0-0_095086_2004-01-16_final
2004-03-27 11:25:08	ga_ls7e_ard_3-0-0_112083_2004-03-27_final
2004-05-07 09:39:35	ga_ls7e_ard_3-0-0_095082_2004-05-07_final
2004-11-20 11:36:00	ga_ls7e_ard_3-0-0_114080_2004-11-20_final
2004-12-06 11:33:46	ga_ls7e_ard_3-0-0_114074_2004-12-06_final
2004-12-06 11:36:10	ga_ls7e_ard_3-0-0_114080_2004-12-06_final
2005-04-04 11:41:39	ga_ls7e_ard_3-1-0_115077_2005-04-04_final
2006-01-05 09:36:35	ga_ls7e_ard_3-1-0_095073_2006-01-05_final
2006-06-03 11:31:53	ga_ls7e_ard_3-0-0_114067_2006-06-03_final
2006-12-12 11:34:47	ga_ls7e_ard_3-0-0_114074_2006-12-12_final
2007-02-09 09:37:36	ga_ls7e_ard_3-0-0_095074_2007-02-09_final
2007-02-25 09:40:04	ga_ls7e_ard_3-0-0_095080_2007-02-25_final
2007-05-14 11:29:13	ga_ls7e_ard_3-0-0_113075_2007-05-14_final
2008-03-13 11:25:47	ga_ls7e_ard_3-0-0_113067_2008-03-13_final
2008-03-29 11:32:35	ga_ls7e_ard_3-0-0_113084_2008-03-29_final
2008-04-30 11:30:31	ga_ls7e_ard_3-0-0_113079_2008-04-30_final
2009-05-03 11:31:39	ga_ls7e_ard_3-0-0_113081_2009-05-03_final
2009-07-08 09:40:21	ga_ls7e_ard_3-0-0_095081_2009-07-08_final
2009-10-12 09:41:16	ga_ls7e_ard_3-0-0_095084_2009-10-12_final
2010-02-06 11:37:38	ga_ls7e_ard_3-0-0_114077_2010-02-06_final
2010-06-30 11:39:13	ga_ls7e_ard_3-0-0_114080_2010-06-30_final
2010-07-09 11:30:39	ga_ls7e_ard_3-0-0_113074_2010-07-09_final
2010-12-25 11:28:33	ga_ls7e_ard_3-0-0_112082_2010-12-25_final
2011-04-30 11:40:38	ga_ls7e_ard_3-0-0_114080_2011-04-30_final
2011-12-17 11:45:02	ga_ls7e_ard_3-0-0_115075_2011-12-17_final
2012-04-09 11:35:41	ga_ls7e_ard_3-0-0_113082_2012-04-09_final
2012-05-11 11:37:07	ga_ls7e_ard_3-0-0_113084_2012-05-11_final
2012-05-13 09:45:06	ga_ls7e_ard_3-0-0_095082_2012-05-13_final
2012-10-25 11:42:03	ga_ls7e_ard_3-0-0_114078_2012-10-25_final
2012-11-21 09:42:47	ga_ls7e_ard_3-1-0_095073_2012-11-21_final
2014-03-14 11:37:41	ga_ls7e_ard_3-0-0_113080_2014-03-14_final
2014-10-26 09:48:54	ga_ls7e_ard_3-0-0_095083_2014-10-26_final
2015-02-04 11:45:43	ga_ls7e_ard_3-0-0_114080_2015-02-04_final
2015-02-20 11:45:23	ga_ls7e_ard_3-0-0_114079_2015-02-20_final
2015-03-01 11:40:30	ga_ls7e_ard_3-0-0_113082_2015-03-01_final
2015-04-16 11:52:01	ga_ls7e_ard_3-0-0_115079_2015-04-16_final
2015-10-25 11:52:22	ga_ls7e_ard_3-1-0_115077_2015-10-25_final
2015-10-29 09:52:24	ga_ls7e_ard_3-0-0_095086_2015-10-29_final
2015-12-30 11:37:01	ga_ls7e_ard_3-0-0_113067_2015-12-30_final
2016-06-09 09:46:57	ga_ls7e_ard_3-0-0_095067_2016-06-09_final
2016-06-14 11:47:10	ga_ls7e_ard_3-0-0_114074_2016-06-14_final
2016-10-20 11:48:57	ga_ls7e_ard_3-0-0_114078_2016-10-20_final
2017-03-20 11:55:00	ga_ls7e_ard_3-0-0_115079_2017-03-20_final
2017-05-07 11:53:16	ga_ls7e_ard_3-0-0_115074_2017-05-07_final
2017-06-24 11:53:27	ga_ls7e_ard_3-0-0_115074_2017-06-24_final
2017-09-05 11:50:02	ga_ls7e_ard_3-0-0_114081_2017-09-05_final
2017-11-01 11:44:40	ga_ls7e_ard_3-0-0_113083_2017-11-01_final
2018-06-04 11:44:56	ga_ls7e_ard_3-0-0_114075_2018-06-04_final
2018-09-01 11:40:40	ga_ls7e_ard_3-0-0_113084_2018-09-01_final
2018-09-26 11:32:20	ga_ls7e_ard_3-0-0_112080_2018-09-26_final
2018-10-28 11:32:47	ga_ls7e_ard_3-0-0_112083_2018-10-28_final
2018-11-11 11:43:38	ga_ls7e_ard_3-0-0_114080_2018-11-11_final
2018-12-22 11:37:10	ga_ls7e_ard_3-0-0_113082_2018-12-22_final
2018-12-24 09:45:04	ga_ls7e_ard_3-0-0_095080_2018-12-24_final
2018-12-29 11:41:32	ga_ls7e_ard_3-0-0_114078_2018-12-29_final
2019-03-03 11:40:45	ga_ls7e_ard_3-1-0_114081_2019-03-03_final
2020-02-13 09:25:32	ga_ls7e_ard_3-1-0_095073_2020-02-12_final
2020-04-17 09:25:36	ga_ls7e_ard_3-1-0_095082_2020-04-16_final
2020-04-24 11:11:03	ga_ls7e_ard_3-1-0_112084_2020-04-24_final
2020-09-08 09:18:23	ga_ls7e_ard_3-1-0_095086_2020-09-07_final
2020-11-07 11:13:15	ga_ls7e_ard_3-1-0_115074_2020-11-07_final
2020-11-16 11:07:39	ga_ls7e_ard_3-1-0_114077_2020-11-16_final
2021-02-21 10:03:23	ga_ls7e_ard_3-2-0_105073_2021-02-21_final
2021-02-26 08:47:03	ga_ls7e_ard_3-2-0_092084_2021-02-25_final
2021-03-22 09:34:36	ga_ls7e_ard_3-2-0_100084_2021-03-22_final
2021-03-23 10:12:11	ga_ls7e_ard_3-2-0_107070_2021-03-23_final
2021-03-23 10:14:35	ga_ls7e_ard_3-2-0_107076_2021-03-23_final
2021-04-17 08:32:39	ga_ls7e_ard_3-2-0_090089_2021-04-16_final
2021-04-25 10:56:42	ga_ls7e_ard_3-2-0_114080_2021-04-25_final
2021-06-04 10:04:41	ga_ls7e_ard_3-2-0_106082_2021-06-04_final
2021-06-17 09:30:44	ga_ls7e_ard_3-2-0_101077_2021-06-17_final
2021-06-20 08:24:30	ga_ls7e_ard_3-2-0_090082_2021-06-19_final
2021-06-21 10:46:09	ga_ls7e_ard_3-2-0_113081_2021-06-21_final
2021-08-05 08:30:32	ga_ls7e_ard_3-2-0_092076_2021-08-04_final
2021-08-20 09:27:13	ga_ls7e_ard_3-2-0_101082_2021-08-19_final
2021-09-22 10:02:48	ga_ls7e_ard_3-2-0_108070_2021-09-22_final
2021-09-24 09:51:51	ga_ls7e_ard_3-2-0_106074_2021-09-24_final
2021-10-21 09:28:55	ga_ls7e_ard_3-2-0_103069_2021-10-20_final
2021-11-17 09:09:01	ga_ls7e_ard_3-2-1_100072_2021-11-16_final
2021-11-28 08:53:01	ga_ls7e_ard_3-2-1_097081_2021-11-27_final
2021-12-16 10:15:26	ga_ls7e_ard_3-2-1_111075_2021-12-16_final
2021-12-28 08:59:18	ga_ls7e_ard_3-2-1_099073_2021-12-27_final
2022-01-03 10:04:29	ga_ls7e_ard_3-2-1_109083_2022-01-03_final
2022-01-15 08:48:23	ga_ls7e_ard_3-2-1_097081_2022-01-14_final
2022-01-19 09:58:34	ga_ls7e_ard_3-2-1_109072_2022-01-19_final
2022-02-02 08:31:29	ga_ls7e_ard_3-2-1_095074_2022-02-01_final
2022-02-06 08:12:20	ga_ls7e_ard_3-2-1_091089_2022-02-05_final
2022-02-08 09:32:16	ga_ls7e_ard_3-2-1_105073_2022-02-08_final
2022-02-15 09:38:06	ga_ls7e_ard_3-2-1_106074_2022-02-15_final
2022-03-02 08:53:01	ga_ls7e_ard_3-2-1_099073_2022-03-01_final
2022-03-06 08:32:18	ga_ls7e_ard_3-2-1_095084_2022-03-05_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