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
2000-09-15 11:33:02	ga_ls7e_ard_3-0-0_113084_2000-09-15_final
2001-05-31 09:37:21	ga_ls7e_ard_3-0-0_095075_2001-05-31_final
2002-12-28 09:32:45	ga_ls7e_ard_3-0-0_095067_2002-12-28_final
2003-08-14 11:33:02	ga_ls7e_ard_3-0-0_114074_2003-08-14_final
2003-11-02 11:34:38	ga_ls7e_ard_3-0-0_114078_2003-11-02_final
2005-08-10 11:41:22	ga_ls7e_ard_3-1-0_115077_2005-08-10_final
2005-10-15 11:30:45	ga_ls7e_ard_3-0-0_113082_2005-10-15_final
2005-10-17 09:36:21	ga_ls7e_ard_3-0-0_095074_2005-10-17_final
2006-10-16 11:41:30	ga_ls7e_ard_3-1-0_115077_2006-10-16_final
2007-05-28 11:41:28	ga_ls7e_ard_3-0-0_115075_2007-05-28_final
2007-10-21 11:31:06	ga_ls7e_ard_3-0-0_113081_2007-10-21_final
2007-11-06 11:30:52	ga_ls7e_ard_3-0-0_113080_2007-11-06_final
2008-03-15 09:41:43	ga_ls7e_ard_3-0-0_095085_2008-03-15_final
2008-09-23 09:39:13	ga_ls7e_ard_3-0-0_095082_2008-09-23_final
2008-10-23 11:27:15	ga_ls7e_ard_3-0-0_113074_2008-10-23_final
2008-12-26 11:30:25	ga_ls7e_ard_3-0-0_113080_2008-12-26_final
2009-07-08 09:40:21	ga_ls7e_ard_3-0-0_095081_2009-07-08_final
2009-07-13 11:35:22	ga_ls7e_ard_3-0-0_114075_2009-07-13_final
2009-10-28 09:40:45	ga_ls7e_ard_3-0-0_095082_2009-10-28_final
2009-11-18 11:35:40	ga_ls7e_ard_3-0-0_114075_2009-11-18_final
2010-01-21 11:36:14	ga_ls7e_ard_3-0-0_114074_2010-01-21_final
2010-02-06 11:37:38	ga_ls7e_ard_3-0-0_114077_2010-02-06_final
2010-03-01 11:43:38	ga_ls7e_ard_3-0-0_115076_2010-03-01_final
2010-03-01 11:44:26	ga_ls7e_ard_3-0-0_115078_2010-03-01_final
2010-05-13 11:38:45	ga_ls7e_ard_3-0-0_114079_2010-05-13_final
2010-12-30 11:44:45	ga_ls7e_ard_3-0-0_115076_2010-12-30_final
2011-04-25 09:46:00	ga_ls7e_ard_3-0-0_095087_2011-04-25_final
2011-10-23 11:38:22	ga_ls7e_ard_3-0-0_114075_2011-10-23_final
2011-11-19 09:41:13	ga_ls7e_ard_3-0-0_095075_2011-11-19_final
2012-05-02 11:41:30	ga_ls7e_ard_3-0-0_114080_2012-05-02_final
2012-08-01 09:41:44	ga_ls7e_ard_3-1-0_095073_2012-08-01_final
2012-08-15 11:36:22	ga_ls7e_ard_3-0-0_113081_2012-08-15_final
2012-10-04 09:48:01	ga_ls7e_ard_3-0-0_095087_2012-10-04_final
2013-03-09 11:46:57	ga_ls7e_ard_3-0-0_115074_2013-03-09_final
2013-04-14 09:48:00	ga_ls7e_ard_3-0-0_095086_2013-04-14_final
2013-06-13 11:46:52	ga_ls7e_ard_3-0-0_115075_2013-06-13_final
2013-06-22 11:42:38	ga_ls7e_ard_3-0-0_114080_2013-06-22_final
2013-10-07 09:43:30	ga_ls7e_ard_3-0-0_095075_2013-10-07_final
2013-12-24 11:34:50	ga_ls7e_ard_3-0-0_113074_2013-12-24_final
2014-11-11 09:45:03	ga_ls7e_ard_3-1-0_095073_2014-11-11_final
2014-12-02 11:44:36	ga_ls7e_ard_3-0-0_114078_2014-12-02_final
2015-03-01 11:40:30	ga_ls7e_ard_3-0-0_113082_2015-03-01_final
2015-05-22 09:50:15	ga_ls7e_ard_3-0-0_095083_2015-05-22_final
2015-09-11 09:52:18	ga_ls7e_ard_3-0-0_095087_2015-09-11_final
2015-09-27 09:52:22	ga_ls7e_ard_3-0-0_095087_2015-09-27_final
2015-10-11 11:42:33	ga_ls7e_ard_3-0-0_113084_2015-10-11_final
2015-11-30 09:51:18	ga_ls7e_ard_3-0-0_095082_2015-11-30_final
2015-12-21 11:46:17	ga_ls7e_ard_3-0-0_114075_2015-12-21_final
2016-03-17 11:53:19	ga_ls7e_ard_3-0-0_115075_2016-03-17_final
2016-05-20 11:54:01	ga_ls7e_ard_3-0-0_115076_2016-05-20_final
2016-05-29 11:47:06	ga_ls7e_ard_3-0-0_114074_2016-05-29_final
2016-10-29 11:41:08	ga_ls7e_ard_3-0-0_113074_2016-10-29_final
2017-01-08 11:46:51	ga_ls7e_ard_3-0-0_114074_2017-01-08_final
2017-10-14 11:53:50	ga_ls7e_ard_3-0-0_115075_2017-10-14_final
2017-12-21 09:46:43	ga_ls7e_ard_3-0-0_095067_2017-12-21_final
2018-03-07 11:52:07	ga_ls7e_ard_3-0-0_115074_2018-03-07_final
2018-08-30 11:49:52	ga_ls7e_ard_3-0-0_115076_2018-08-30_final
2018-10-01 11:49:09	ga_ls7e_ard_3-0-0_115076_2018-10-01_final
2018-11-11 11:41:14	ga_ls7e_ard_3-0-0_114074_2018-11-11_final
2019-02-15 11:40:27	ga_ls7e_ard_3-0-0_114079_2019-02-15_final
2019-05-31 11:31:00	ga_ls7e_ard_3-0-0_113080_2019-05-31_final
2019-05-31 11:32:12	ga_ls7e_ard_3-0-0_113083_2019-05-31_final
2019-06-07 11:34:32	ga_ls7e_ard_3-0-0_114074_2019-06-07_final
2019-06-18 09:41:06	ga_ls7e_ard_3-0-0_095085_2019-06-18_final
2019-12-27 09:33:09	ga_ls7e_ard_3-1-0_095086_2019-12-27_final
2020-02-02 11:24:19	ga_ls7e_ard_3-1-0_114075_2020-02-02_final
2020-10-22 11:15:32	ga_ls7e_ard_3-1-0_115077_2020-10-22_final
2021-02-12 08:38:09	ga_ls7e_ard_3-2-0_090090_2021-02-11_final
2021-02-19 08:41:48	ga_ls7e_ard_3-2-0_091085_2021-02-18_final
2021-02-20 09:21:24	ga_ls7e_ard_3-2-0_098076_2021-02-19_final
2021-03-04 09:44:24	ga_ls7e_ard_3-2-0_102074_2021-03-04_final
2021-03-10 09:09:38	ga_ls7e_ard_3-2-0_096081_2021-03-09_final
2021-03-14 08:43:48	ga_ls7e_ard_3-2-0_092079_2021-03-13_final
2021-04-02 09:15:10	ga_ls7e_ard_3-2-0_097084_2021-04-01_final
2021-04-07 09:32:53	ga_ls7e_ard_3-2-0_100083_2021-04-07_final
2021-04-10 10:02:21	ga_ls7e_ard_3-2-0_105080_2021-04-10_final
2021-05-04 09:10:53	ga_ls7e_ard_3-2-0_097080_2021-05-03_final
2021-05-04 10:44:35	ga_ls7e_ard_3-2-0_113067_2021-05-04_final
2021-06-29 08:16:46	ga_ls7e_ard_3-2-0_089080_2021-06-28_final
2021-07-06 08:24:22	ga_ls7e_ard_3-2-0_090085_2021-07-05_final
2021-07-11 08:40:53	ga_ls7e_ard_3-2-0_093081_2021-07-10_final
2021-07-21 09:11:31	ga_ls7e_ard_3-2-0_099067_2021-07-20_final
2021-07-27 10:15:35	ga_ls7e_ard_3-2-0_109074_2021-07-27_final
2021-08-05 10:12:12	ga_ls7e_ard_3-2-0_108083_2021-08-05_final
2021-08-08 09:02:46	ga_ls7e_ard_3-2-0_097080_2021-08-07_final
2021-08-19 10:22:07	ga_ls7e_ard_3-2-0_110080_2021-08-19_final
2021-09-08 08:20:23	ga_ls7e_ard_3-2-0_090089_2021-09-07_final
2021-09-13 10:15:22	ga_ls7e_ard_3-2-0_109084_2021-09-13_final
2021-09-15 10:02:50	ga_ls7e_ard_3-2-0_107084_2021-09-15_final
2021-09-22 10:02:48	ga_ls7e_ard_3-2-0_108070_2021-09-22_final
2021-10-23 09:17:58	ga_ls7e_ard_3-2-0_101073_2021-10-22_final
2021-10-29 08:43:56	ga_ls7e_ard_3-2-0_095082_2021-10-28_final
2021-11-11 09:47:29	ga_ls7e_ard_3-2-0_106074_2021-11-11_final
2021-11-16 08:28:15	ga_ls7e_ard_3-2-1_093078_2021-11-15_final
2021-12-08 09:24:46	ga_ls7e_ard_3-2-1_103070_2021-12-07_final
2021-12-18 10:03:17	ga_ls7e_ard_3-2-1_109076_2021-12-18_final
2021-12-29 08:06:46	ga_ls7e_ard_3-2-1_090081_2021-12-28_final
2022-01-12 09:53:03	ga_ls7e_ard_3-2-1_108072_2022-01-12_final
2022-01-30 08:04:52	ga_ls7e_ard_3-2-1_090084_2022-01-29_final
2022-02-02 10:13:57	ga_ls7e_ard_3-2-1_111083_2022-02-02_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years