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
1999-06-30 11:51:16	ga_ls7e_ard_3-0-0_116078_1999-06-30_final
2000-07-11 11:43:54	ga_ls7e_ard_3-0-0_115078_2000-07-11_final
2001-03-24 11:42:35	ga_ls7e_ard_3-0-0_115078_2001-03-24_final
2001-12-05 11:39:40	ga_ls7e_ard_3-0-0_115075_2001-12-05_final
2002-10-05 11:38:55	ga_ls7e_ard_3-0-0_115075_2002-10-05_final
2003-07-20 11:40:57	ga_ls7e_ard_3-0-0_115078_2003-07-20_final
2003-11-18 11:35:38	ga_ls7e_ard_3-0-0_114080_2003-11-18_final
2003-11-25 11:39:29	ga_ls7e_ard_3-0-0_115074_2003-11-25_final
2003-12-11 11:41:33	ga_ls7e_ard_3-0-0_115079_2003-12-11_final
2004-05-19 11:39:59	ga_ls7e_ard_3-0-0_115074_2004-05-19_final
2004-06-08 09:35:29	ga_ls7e_ard_3-0-0_095072_2004-06-08_final
2005-05-06 11:40:25	ga_ls7e_ard_3-0-0_115074_2005-05-06_final
2005-10-22 11:36:38	ga_ls7e_ard_3-0-0_114081_2005-10-22_final
2006-01-26 11:36:59	ga_ls7e_ard_3-0-0_114080_2006-01-26_final
2006-09-30 11:41:26	ga_ls7e_ard_3-1-0_115077_2006-09-30_final
2006-11-01 11:42:33	ga_ls7e_ard_3-0-0_115079_2006-11-01_final
2006-12-03 11:42:06	ga_ls7e_ard_3-1-0_115077_2006-12-03_final
2007-01-20 11:41:27	ga_ls7e_ard_3-0-0_115075_2007-01-20_final
2007-02-05 11:43:10	ga_ls7e_ard_3-0-0_115079_2007-02-05_final
2007-06-17 09:34:40	ga_ls7e_ard_3-0-0_095067_2007-06-17_final
2007-10-12 11:34:22	ga_ls7e_ard_3-0-0_114074_2007-10-12_final
2007-11-04 11:41:13	ga_ls7e_ard_3-0-0_115075_2007-11-04_final
2007-12-06 11:41:04	ga_ls7e_ard_3-0-0_115074_2007-12-06_final
2007-12-31 11:34:58	ga_ls7e_ard_3-0-0_114074_2007-12-31_final
2007-12-31 11:37:22	ga_ls7e_ard_3-0-0_114080_2007-12-31_final
2008-05-07 11:36:16	ga_ls7e_ard_3-0-0_114078_2008-05-07_final
2008-06-01 11:29:31	ga_ls7e_ard_3-0-0_113077_2008-06-01_final
2008-10-05 11:41:30	ga_ls7e_ard_3-0-0_115079_2008-10-05_final
2009-05-21 09:40:26	ga_ls7e_ard_3-0-0_095081_2009-05-21_final
2009-06-11 11:36:39	ga_ls7e_ard_3-0-0_114078_2009-06-11_final
2009-06-22 09:42:24	ga_ls7e_ard_3-0-0_095086_2009-06-22_final
2009-06-27 11:37:25	ga_ls7e_ard_3-0-0_114080_2009-06-27_final
2009-07-08 09:42:21	ga_ls7e_ard_3-0-0_095086_2009-07-08_final
2010-08-27 08:59:00	ga_ls7e_ard_3-0-0_088081_2010-08-26_final
2010-12-23 11:39:18	ga_ls7e_ard_3-0-0_114078_2010-12-23_final
2011-10-18 09:37:43	ga_ls7e_ard_3-0-0_095067_2011-10-18_final
2012-08-16 09:01:53	ga_ls7e_ard_3-0-0_088081_2012-08-15_final
2012-12-28 11:41:11	ga_ls7e_ard_3-0-0_114075_2012-12-28_final
2013-08-20 09:47:44	ga_ls7e_ard_3-0-0_095087_2013-08-20_final
2013-11-04 11:46:55	ga_ls7e_ard_3-0-0_115074_2013-11-04_final
2014-05-08 11:43:28	ga_ls7e_ard_3-0-0_114078_2014-05-08_final
2014-07-22 09:49:09	ga_ls7e_ard_3-0-0_095085_2014-07-22_final
2015-10-25 11:51:34	ga_ls7e_ard_3-0-0_115075_2015-10-25_final
2015-11-03 11:42:18	ga_ls7e_ard_3-0-0_114067_2015-11-03_final
2015-11-28 11:43:19	ga_ls7e_ard_3-0-0_113084_2015-11-28_final
2016-03-17 11:54:54	ga_ls7e_ard_3-0-0_115079_2016-03-17_final
2016-03-21 09:46:32	ga_ls7e_ard_3-0-0_095067_2016-03-21_final
2016-10-27 11:53:30	ga_ls7e_ard_3-0-0_115074_2016-10-27_final
2016-12-14 11:53:15	ga_ls7e_ard_3-0-0_115074_2016-12-14_final
2016-12-18 09:49:13	ga_ls7e_ard_3-1-0_095073_2016-12-18_final
2018-04-12 09:53:11	ga_ls7e_ard_3-0-0_095087_2018-04-12_final
2018-07-06 11:46:43	ga_ls7e_ard_3-0-0_114081_2018-07-06_final
2018-08-30 11:50:40	ga_ls7e_ard_3-0-0_115078_2018-08-30_final
2019-01-09 09:41:23	ga_ls7e_ard_3-0-0_095072_2019-01-09_final
2019-04-15 09:38:41	ga_ls7e_ard_3-1-0_095073_2019-04-15_final
2019-09-04 11:28:24	ga_ls7e_ard_3-1-0_113083_2019-09-04_final
2019-11-21 11:34:09	ga_ls7e_ard_3-1-0_115075_2019-11-21_final
2019-11-23 11:21:18	ga_ls7e_ard_3-1-0_113074_2019-11-23_final
2019-12-16 11:29:09	ga_ls7e_ard_3-1-0_114081_2019-12-16_final
2020-05-15 11:25:55	ga_ls7e_ard_3-1-0_115078_2020-05-15_final
2020-05-24 11:17:59	ga_ls7e_ard_3-1-0_114075_2020-05-24_final
2020-06-04 09:16:44	ga_ls7e_ard_3-1-0_095067_2020-06-03_final
2020-09-20 11:17:59	ga_ls7e_ard_3-1-0_115078_2020-09-20_final
2021-02-15 10:44:55	ga_ls7e_ard_3-2-0_111083_2021-02-15_final
2021-02-22 09:06:53	ga_ls7e_ard_3-2-0_096071_2021-02-21_final
2021-03-08 09:23:45	ga_ls7e_ard_3-2-0_098085_2021-03-07_final
2021-03-28 08:50:15	ga_ls7e_ard_3-2-0_094067_2021-03-27_final
2021-04-04 10:37:08	ga_ls7e_ard_3-2-0_111073_2021-04-04_final
2021-04-23 09:26:45	ga_ls7e_ard_3-2-0_100071_2021-04-22_final
2021-04-28 09:44:52	ga_ls7e_ard_3-2-0_103071_2021-04-28_final
2021-04-29 10:28:27	ga_ls7e_ard_3-2-0_110072_2021-04-29_final
2021-05-20 10:49:37	ga_ls7e_ard_3-2-0_113083_2021-05-20_final
2021-05-23 09:35:24	ga_ls7e_ard_3-2-0_102068_2021-05-23_final
2021-05-25 09:27:15	ga_ls7e_ard_3-2-0_100079_2021-05-24_final
2021-05-31 10:28:56	ga_ls7e_ard_3-2-0_110080_2021-05-31_final
2021-06-22 09:45:16	ga_ls7e_ard_3-2-0_104068_2021-06-22_final
2021-07-05 10:56:09	ga_ls7e_ard_3-2-0_115078_2021-07-05_final
2021-07-16 10:38:40	ga_ls7e_ard_3-2-0_112083_2021-07-16_final
2021-08-07 09:54:29	ga_ls7e_ard_3-2-0_106070_2021-08-07_final
2021-09-29 08:33:51	ga_ls7e_ard_3-2-0_093081_2021-09-28_final
2021-10-01 08:20:55	ga_ls7e_ard_3-2-0_091080_2021-09-30_final
2021-10-01 08:24:31	ga_ls7e_ard_3-2-0_091089_2021-09-30_final
2021-10-10 09:51:14	ga_ls7e_ard_3-2-0_106076_2021-10-10_final
2021-10-18 09:01:29	ga_ls7e_ard_3-2-0_098077_2021-10-17_final
2021-10-27 10:35:21	ga_ls7e_ard_3-2-0_113082_2021-10-27_final
2021-11-09 08:25:33	ga_ls7e_ard_3-2-0_092085_2021-11-08_final
2021-11-27 09:44:44	ga_ls7e_ard_3-2-1_106071_2021-11-27_final
2021-12-06 08:02:26	ga_ls7e_ard_3-2-1_089080_2021-12-05_final
2021-12-17 09:17:44	ga_ls7e_ard_3-2-1_102070_2021-12-16_final
2021-12-27 09:59:01	ga_ls7e_ard_3-2-1_108083_2021-12-27_final
2021-12-28 09:02:06	ga_ls7e_ard_3-2-1_099080_2021-12-27_final
2021-12-28 10:39:46	ga_ls7e_ard_3-2-1_115077_2021-12-28_final
2022-01-01 10:13:27	ga_ls7e_ard_3-2-1_111074_2022-01-01_final
2022-01-14 09:38:55	ga_ls7e_ard_3-2-1_106068_2022-01-14_final
2022-01-24 10:21:01	ga_ls7e_ard_3-2-1_112083_2022-01-24_final
2022-02-20 09:56:58	ga_ls7e_ard_3-2-1_109076_2022-02-20_final
2022-03-03 09:34:35	ga_ls7e_ard_3-2-1_106069_2022-03-03_final
2022-03-07 09:09:28	ga_ls7e_ard_3-2-1_102069_2022-03-06_final
2022-03-19 09:33:23	ga_ls7e_ard_3-2-1_106070_2022-03-19_final
2022-04-01 09:01:39	ga_ls7e_ard_3-2-1_101071_2022-03-31_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