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
1999-09-27 11:44:36	ga_ls7e_ard_3-0-0_115076_1999-09-27_final
1999-12-02 11:34:26	ga_ls7e_ard_3-0-0_113082_1999-12-02_final
1999-12-20 09:44:55	ga_ls7e_ard_3-0-0_095086_1999-12-20_final
2000-05-24 11:44:22	ga_ls7e_ard_3-0-0_115078_2000-05-24_final
2000-08-14 11:32:43	ga_ls7e_ard_3-0-0_113082_2000-08-14_final
2000-08-21 11:32:51	ga_ls7e_ard_3-0-0_114067_2000-08-21_final
2000-09-17 09:42:32	ga_ls7e_ard_3-0-0_095086_2000-09-17_final
2000-11-20 09:37:07	ga_ls7e_ard_3-1-0_095073_2000-11-20_final
2000-12-02 11:41:34	ga_ls7e_ard_3-0-0_115075_2000-12-02_final
2000-12-06 09:42:41	ga_ls7e_ard_3-0-0_095087_2000-12-06_final
2001-05-20 11:35:40	ga_ls7e_ard_3-0-0_114077_2001-05-20_final
2001-08-31 11:39:54	ga_ls7e_ard_3-0-0_115075_2001-08-31_final
2001-12-25 09:35:53	ga_ls7e_ard_3-0-0_095074_2001-12-25_final
2002-01-08 11:31:10	ga_ls7e_ard_3-0-0_113084_2002-01-08_final
2002-01-24 11:30:54	ga_ls7e_ard_3-0-0_113083_2002-01-24_final
2002-01-24 11:31:18	ga_ls7e_ard_3-0-0_113084_2002-01-24_final
2002-10-25 09:39:47	ga_ls7e_ard_3-0-0_095086_2002-10-25_final
2002-11-08 11:29:31	ga_ls7e_ard_3-0-0_113082_2002-11-08_final
2002-12-12 09:39:26	ga_ls7e_ard_3-0-0_095084_2002-12-12_final
2003-01-25 11:39:42	ga_ls7e_ard_3-0-0_115075_2003-01-25_final
2003-03-16 11:30:22	ga_ls7e_ard_3-0-0_113082_2003-03-16_final
2004-09-28 09:35:00	ga_ls7e_ard_3-0-0_095072_2004-09-28_final
2004-12-01 09:39:30	ga_ls7e_ard_3-0-0_095082_2004-12-01_final
2006-06-29 08:57:03	ga_ls7e_ard_3-0-0_088082_2006-06-28_final
2006-09-07 11:31:25	ga_ls7e_ard_3-0-0_114067_2006-09-07_final
2006-11-05 09:41:48	ga_ls7e_ard_3-0-0_095086_2006-11-05_final
2007-02-23 11:32:54	ga_ls7e_ard_3-0-0_113084_2007-02-23_final
2007-05-12 11:42:47	ga_ls7e_ard_3-0-0_115078_2007-05-12_final
2007-09-01 11:40:43	ga_ls7e_ard_3-0-0_115074_2007-09-01_final
2008-01-11 09:41:33	ga_ls7e_ard_3-0-0_095084_2008-01-11_final
2008-01-25 11:32:23	ga_ls7e_ard_3-0-0_113083_2008-01-25_final
2008-03-15 09:37:20	ga_ls7e_ard_3-0-0_095074_2008-03-15_final
2008-07-01 11:41:58	ga_ls7e_ard_3-0-0_115078_2008-07-01_final
2008-12-17 11:34:56	ga_ls7e_ard_3-0-0_114076_2008-12-17_final
2009-02-10 11:42:15	ga_ls7e_ard_3-0-0_115078_2009-02-10_final
2009-05-05 09:42:48	ga_ls7e_ard_3-0-0_095087_2009-05-05_final
2009-06-06 09:40:50	ga_ls7e_ard_3-0-0_095082_2009-06-06_final
2009-10-12 09:41:16	ga_ls7e_ard_3-0-0_095084_2009-10-12_final
2009-10-28 09:41:56	ga_ls7e_ard_3-0-0_095085_2009-10-28_final
2009-11-09 11:42:56	ga_ls7e_ard_3-0-0_115078_2009-11-09_final
2010-03-05 09:40:52	ga_ls7e_ard_3-0-0_095078_2010-03-05_final
2010-03-21 09:40:34	ga_ls7e_ard_3-0-0_095077_2010-03-21_final
2010-07-11 09:41:01	ga_ls7e_ard_3-0-0_095078_2010-07-11_final
2011-07-03 11:35:21	ga_ls7e_ard_3-0-0_114067_2011-07-03_final
2011-10-17 09:00:25	ga_ls7e_ard_3-0-0_088082_2011-10-16_final
2011-10-30 11:44:10	ga_ls7e_ard_3-0-0_115074_2011-10-30_final
2012-01-06 09:40:26	ga_ls7e_ard_3-0-0_095072_2012-01-06_final
2012-01-11 11:41:03	ga_ls7e_ard_3-0-0_114080_2012-01-11_final
2012-06-03 11:41:00	ga_ls7e_ard_3-0-0_114079_2012-06-03_final
2013-01-07 09:03:18	ga_ls7e_ard_3-0-0_088082_2013-01-06_final
2013-08-20 09:39:45	ga_ls7e_ard_3-0-0_095067_2013-08-20_final
2013-09-21 09:46:29	ga_ls7e_ard_3-0-0_095083_2013-09-21_final
2014-09-13 11:39:28	ga_ls7e_ard_3-0-0_114067_2014-09-13_final
2015-02-27 11:49:39	ga_ls7e_ard_3-0-0_115074_2015-02-27_final
2015-07-09 09:50:06	ga_ls7e_ard_3-0-0_095082_2015-07-09_final
2016-05-29 11:44:19	ga_ls7e_ard_3-0-0_114067_2016-05-29_final
2016-10-04 11:50:11	ga_ls7e_ard_3-0-0_114081_2016-10-04_final
2017-04-21 11:54:23	ga_ls7e_ard_3-1-0_115077_2017-04-21_final
2017-06-12 09:55:00	ga_ls7e_ard_3-0-0_095087_2017-06-12_final
2017-07-10 11:55:28	ga_ls7e_ard_3-0-0_115079_2017-07-10_final
2017-09-12 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-09-12_final
2017-12-01 11:53:42	ga_ls7e_ard_3-0-0_115075_2017-12-01_final
2018-06-13 11:41:23	ga_ls7e_ard_3-0-0_113082_2018-06-13_final
2018-10-05 09:41:52	ga_ls7e_ard_3-0-0_095067_2018-10-05_final
2019-03-03 11:35:10	ga_ls7e_ard_3-1-0_114067_2019-03-03_final
2019-05-01 09:38:30	ga_ls7e_ard_3-0-0_095074_2019-05-01_final
2019-07-09 11:30:33	ga_ls7e_ard_3-0-0_114067_2019-07-09_final
2020-01-01 11:22:44	ga_ls7e_ard_3-1-0_114067_2020-01-01_final
2020-08-07 09:20:51	ga_ls7e_ard_3-1-0_095087_2020-08-06_final
2021-02-13 09:13:21	ga_ls7e_ard_3-2-0_097070_2021-02-12_final
2021-02-17 08:50:44	ga_ls7e_ard_3-2-0_093076_2021-02-16_final
2021-03-06 09:31:29	ga_ls7e_ard_3-2-0_100073_2021-03-06_final
2021-03-12 10:33:36	ga_ls7e_ard_3-2-0_110075_2021-03-12_final
2021-05-05 09:53:16	ga_ls7e_ard_3-2-0_104078_2021-05-05_final
2021-05-13 10:37:39	ga_ls7e_ard_3-2-0_112067_2021-05-13_final
2021-06-08 09:38:50	ga_ls7e_ard_3-2-0_102080_2021-06-08_final
2021-06-17 09:32:43	ga_ls7e_ard_3-2-0_101082_2021-06-17_final
2021-06-18 10:16:18	ga_ls7e_ard_3-2-0_108083_2021-06-18_final
2021-06-27 10:04:11	ga_ls7e_ard_3-2-0_107070_2021-06-27_final
2021-07-23 10:43:51	ga_ls7e_ard_3-2-0_113082_2021-07-23_final
2021-07-30 10:48:37	ga_ls7e_ard_3-2-0_114080_2021-07-30_final
2021-08-10 10:29:30	ga_ls7e_ard_3-2-0_111081_2021-08-10_final
2021-08-26 08:43:38	ga_ls7e_ard_3-2-0_095067_2021-08-25_final
2021-08-29 09:16:16	ga_ls7e_ard_3-2-0_100072_2021-08-28_final
2021-09-22 08:30:18	ga_ls7e_ard_3-2-0_092086_2021-09-21_final
2021-10-03 09:45:40	ga_ls7e_ard_3-2-0_105076_2021-10-03_final
2021-10-26 09:52:11	ga_ls7e_ard_3-2-0_106082_2021-10-26_final
2021-11-07 10:12:59	ga_ls7e_ard_3-2-0_110075_2021-11-07_final
2021-12-03 09:09:54	ga_ls7e_ard_3-2-1_100078_2021-12-02_final
2021-12-13 09:45:38	ga_ls7e_ard_3-2-1_106077_2021-12-13_final
2022-01-05 09:47:31	ga_ls7e_ard_3-2-1_107072_2022-01-05_final
2022-01-14 08:04:49	ga_ls7e_ard_3-2-1_090080_2022-01-13_final
2022-01-15 08:45:12	ga_ls7e_ard_3-2-1_097073_2022-01-14_final
2022-01-21 09:47:37	ga_ls7e_ard_3-2-1_107076_2022-01-21_final
2022-01-25 09:20:07	ga_ls7e_ard_3-2-1_103070_2022-01-24_final
2022-01-31 10:22:55	ga_ls7e_ard_3-2-1_113074_2022-01-31_final
2022-03-12 09:29:54	ga_ls7e_ard_3-2-1_105075_2022-03-11_final
2022-03-13 10:16:39	ga_ls7e_ard_3-2-1_112084_2022-03-13_final
2022-03-20 08:43:39	ga_ls7e_ard_3-2-1_097085_2022-03-19_final
2022-03-24 09:53:03	ga_ls7e_ard_3-2-1_109074_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