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
1999-08-19 11:38:39	ga_ls7e_ard_3-0-0_114077_1999-08-19_final
2000-06-29 09:38:28	ga_ls7e_ard_3-1-0_095073_2000-06-29_final
2002-01-26 09:39:15	ga_ls7e_ard_3-0-0_095082_2002-01-26_final
2002-08-27 11:34:36	ga_ls7e_ard_3-0-0_114079_2002-08-27_final
2003-10-12 09:38:29	ga_ls7e_ard_3-0-0_095082_2003-10-12_final
2003-11-09 11:40:29	ga_ls7e_ard_3-1-0_115077_2003-11-09_final
2003-12-31 09:40:30	ga_ls7e_ard_3-0-0_095085_2003-12-31_final
2004-02-01 09:39:29	ga_ls7e_ard_3-0-0_095082_2004-02-01_final
2004-02-17 09:41:30	ga_ls7e_ard_3-0-0_095087_2004-02-17_final
2004-06-04 11:41:55	ga_ls7e_ard_3-0-0_115079_2004-06-04_final
2004-08-11 09:36:24	ga_ls7e_ard_3-0-0_095075_2004-08-11_final
2004-10-03 11:35:35	ga_ls7e_ard_3-0-0_114080_2004-10-03_final
2005-05-31 11:31:24	ga_ls7e_ard_3-0-0_114067_2005-05-31_final
2006-05-29 09:40:27	ga_ls7e_ard_3-0-0_095082_2006-05-29_final
2006-06-30 09:37:31	ga_ls7e_ard_3-0-0_095075_2006-06-30_final
2006-07-12 11:40:37	ga_ls7e_ard_3-0-0_115074_2006-07-12_final
2006-11-05 09:41:24	ga_ls7e_ard_3-0-0_095085_2006-11-05_final
2006-11-26 11:35:28	ga_ls7e_ard_3-0-0_114076_2006-11-26_final
2006-12-07 09:42:31	ga_ls7e_ard_3-0-0_095087_2006-12-07_final
2007-11-29 11:34:51	ga_ls7e_ard_3-0-0_114074_2007-11-29_final
2008-03-31 09:41:20	ga_ls7e_ard_3-0-0_095084_2008-03-31_final
2008-05-30 11:41:05	ga_ls7e_ard_3-0-0_115075_2008-05-30_final
2008-09-03 11:40:13	ga_ls7e_ard_3-0-0_115075_2008-09-03_final
2008-12-08 11:41:25	ga_ls7e_ard_3-1-0_115077_2008-12-08_final
2009-03-18 09:37:23	ga_ls7e_ard_3-0-0_095074_2009-03-18_final
2009-03-30 11:41:28	ga_ls7e_ard_3-0-0_115075_2009-03-30_final
2009-07-24 09:37:29	ga_ls7e_ard_3-0-0_095074_2009-07-24_final
2009-11-13 09:37:23	ga_ls7e_ard_3-1-0_095073_2009-11-13_final
2009-12-15 09:43:23	ga_ls7e_ard_3-0-0_095087_2009-12-15_final
2010-07-16 11:36:51	ga_ls7e_ard_3-0-0_114074_2010-07-16_final
2010-09-02 11:36:54	ga_ls7e_ard_3-0-0_114074_2010-09-02_final
2010-10-27 11:44:06	ga_ls7e_ard_3-0-0_115076_2010-10-27_final
2010-10-31 09:40:31	ga_ls7e_ard_3-0-0_095076_2010-10-31_final
2011-11-08 11:40:06	ga_ls7e_ard_3-0-0_114079_2011-11-08_final
2012-07-12 11:47:09	ga_ls7e_ard_3-0-0_115078_2012-07-12_final
2013-12-10 09:43:09	ga_ls7e_ard_3-1-0_095073_2013-12-10_final
2014-02-17 11:43:45	ga_ls7e_ard_3-0-0_114080_2014-02-17_final
2014-07-11 11:42:09	ga_ls7e_ard_3-0-0_114074_2014-07-11_final
2016-01-17 09:48:51	ga_ls7e_ard_3-0-0_095074_2016-01-17_final
2016-02-18 09:52:16	ga_ls7e_ard_3-0-0_095082_2016-02-18_final
2016-03-21 09:52:55	ga_ls7e_ard_3-0-0_095083_2016-03-21_final
2016-05-13 11:47:25	ga_ls7e_ard_3-0-0_114075_2016-05-13_final
2016-10-04 11:48:59	ga_ls7e_ard_3-0-0_114078_2016-10-04_final
2016-12-07 11:48:42	ga_ls7e_ard_3-0-0_114078_2016-12-07_final
2017-03-20 11:53:00	ga_ls7e_ard_3-0-0_115074_2017-03-20_final
2017-03-24 09:53:24	ga_ls7e_ard_3-0-0_095084_2017-03-24_final
2018-01-06 09:52:54	ga_ls7e_ard_3-0-0_095083_2018-01-06_final
2018-04-24 11:51:24	ga_ls7e_ard_3-0-0_115074_2018-04-24_final
2018-04-28 09:50:55	ga_ls7e_ard_3-0-0_095082_2018-04-28_final
2018-08-07 11:43:45	ga_ls7e_ard_3-0-0_114075_2018-08-07_final
2018-09-03 09:44:59	ga_ls7e_ard_3-1-0_095073_2018-09-03_final
2018-10-21 09:47:28	ga_ls7e_ard_3-0-0_095082_2018-10-21_final
2019-01-09 09:42:35	ga_ls7e_ard_3-0-0_095075_2019-01-09_final
2019-05-22 11:32:18	ga_ls7e_ard_3-0-0_114067_2019-05-22_final
2019-07-25 11:32:42	ga_ls7e_ard_3-0-0_114074_2019-07-25_final
2019-08-21 09:34:10	ga_ls7e_ard_3-0-0_095074_2019-08-21_final
2019-11-30 11:29:56	ga_ls7e_ard_3-1-0_114081_2019-11-30_final
2019-12-16 11:26:45	ga_ls7e_ard_3-1-0_114075_2019-12-16_final
2020-01-01 11:27:55	ga_ls7e_ard_3-1-0_114080_2020-01-01_final
2020-04-17 09:25:12	ga_ls7e_ard_3-1-0_095081_2020-04-16_final
2020-08-23 09:18:13	ga_ls7e_ard_3-1-0_095083_2020-08-22_final
2020-11-23 11:13:20	ga_ls7e_ard_3-1-0_115077_2020-11-23_final
2020-11-27 09:12:39	ga_ls7e_ard_3-1-0_095085_2020-11-26_final
2021-02-12 08:33:22	ga_ls7e_ard_3-2-0_090078_2021-02-11_final
2021-02-28 10:09:02	ga_ls7e_ard_3-2-0_106073_2021-02-28_final
2021-03-01 09:15:43	ga_ls7e_ard_3-2-0_097079_2021-02-28_final
2021-03-05 10:26:47	ga_ls7e_ard_3-2-0_109072_2021-03-05_final
2021-03-17 10:55:20	ga_ls7e_ard_3-2-0_113084_2021-03-17_final
2021-04-06 10:24:36	ga_ls7e_ard_3-2-0_109073_2021-04-06_final
2021-04-19 09:50:37	ga_ls7e_ard_3-2-0_104068_2021-04-19_final
2021-04-20 09:01:42	ga_ls7e_ard_3-2-0_095085_2021-04-19_final
2021-04-28 09:44:04	ga_ls7e_ard_3-2-0_103069_2021-04-28_final
2021-05-17 10:18:58	ga_ls7e_ard_3-2-0_108083_2021-05-17_final
2021-05-31 08:50:51	ga_ls7e_ard_3-2-0_094082_2021-05-30_final
2021-06-20 09:59:47	ga_ls7e_ard_3-2-0_106073_2021-06-20_final
2021-06-21 09:06:53	ga_ls7e_ard_3-2-0_097080_2021-06-20_final
2021-07-22 08:24:59	ga_ls7e_ard_3-2-0_090090_2021-07-21_final
2021-08-07 09:59:16	ga_ls7e_ard_3-2-0_106082_2021-08-07_final
2021-08-08 08:59:10	ga_ls7e_ard_3-2-0_097071_2021-08-07_final
2021-08-14 08:27:08	ga_ls7e_ard_3-2-0_091085_2021-08-13_final
2021-08-14 10:01:38	ga_ls7e_ard_3-2-0_107074_2021-08-14_final
2021-08-23 09:54:16	ga_ls7e_ard_3-2-0_106073_2021-08-23_final
2021-09-07 10:48:59	ga_ls7e_ard_3-2-0_115074_2021-09-07_final
2021-09-07 10:49:47	ga_ls7e_ard_3-2-0_115076_2021-09-07_final
2021-10-04 08:52:45	ga_ls7e_ard_3-2-0_096083_2021-10-03_final
2021-10-06 10:19:06	ga_ls7e_ard_3-2-0_110083_2021-10-06_final
2021-10-10 09:50:02	ga_ls7e_ard_3-2-0_106073_2021-10-10_final
2021-10-24 10:05:32	ga_ls7e_ard_3-2-0_108084_2021-10-24_final
2021-11-01 09:14:33	ga_ls7e_ard_3-2-0_100082_2021-10-31_final
2021-11-05 08:45:52	ga_ls7e_ard_3-2-0_096073_2021-11-04_final
2021-11-12 08:52:58	ga_ls7e_ard_3-2-0_097077_2021-11-11_final
2021-11-16 10:09:08	ga_ls7e_ard_3-2-1_109083_2021-11-16_final
2021-12-05 10:35:02	ga_ls7e_ard_3-2-1_114075_2021-12-05_final
2021-12-23 08:45:39	ga_ls7e_ard_3-2-1_096084_2021-12-22_final
2022-01-10 10:06:24	ga_ls7e_ard_3-2-1_110074_2022-01-10_final
2022-01-30 08:06:52	ga_ls7e_ard_3-2-1_090089_2022-01-29_final
2022-02-05 09:04:28	ga_ls7e_ard_3-2-1_100080_2022-02-04_final
2022-02-09 08:37:20	ga_ls7e_ard_3-2-1_096075_2022-02-08_final
2022-03-01 09:52:43	ga_ls7e_ard_3-2-1_108083_2022-03-01_final
2022-03-19 09:34:35	ga_ls7e_ard_3-2-1_106073_2022-03-19_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