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
1999-09-13 11:34:53	ga_ls7e_ard_3-0-0_113083_1999-09-13_final
2000-04-10 09:40:22	ga_ls7e_ard_3-0-0_095076_2000-04-10_final
2000-10-01 11:32:29	ga_ls7e_ard_3-0-0_113083_2000-10-01_final
2001-11-19 11:41:20	ga_ls7e_ard_3-0-0_115079_2001-11-19_final
2002-09-19 11:39:22	ga_ls7e_ard_3-0-0_115076_2002-09-19_final
2002-12-12 09:39:50	ga_ls7e_ard_3-0-0_095085_2002-12-12_final
2003-05-21 09:35:28	ga_ls7e_ard_3-1-0_095073_2003-05-21_final
2003-07-24 09:40:54	ga_ls7e_ard_3-0-0_095087_2003-07-24_final
2003-08-09 09:39:59	ga_ls7e_ard_3-0-0_095085_2003-08-09_final
2003-12-27 11:41:41	ga_ls7e_ard_3-0-0_115079_2003-12-27_final
2004-02-17 09:40:42	ga_ls7e_ard_3-0-0_095085_2004-02-17_final
2004-03-02 11:31:35	ga_ls7e_ard_3-0-0_113084_2004-03-02_final
2004-07-15 11:35:35	ga_ls7e_ard_3-0-0_114079_2004-07-15_final
2005-03-12 11:34:20	ga_ls7e_ard_3-0-0_114074_2005-03-12_final
2005-04-24 09:41:08	ga_ls7e_ard_3-0-0_095085_2005-04-24_final
2005-05-31 11:36:11	ga_ls7e_ard_3-0-0_114079_2005-05-31_final
2005-07-28 08:56:08	ga_ls7e_ard_3-0-0_088081_2005-07-27_final
2005-10-17 09:40:44	ga_ls7e_ard_3-0-0_095085_2005-10-17_final
2006-02-11 11:35:28	ga_ls7e_ard_3-0-0_114076_2006-02-11_final
2006-07-05 11:37:18	ga_ls7e_ard_3-0-0_114081_2006-07-05_final
2007-01-13 11:35:38	ga_ls7e_ard_3-0-0_114076_2007-01-13_final
2007-01-13 11:36:50	ga_ls7e_ard_3-0-0_114079_2007-01-13_final
2007-03-25 11:41:44	ga_ls7e_ard_3-0-0_115075_2007-03-25_final
2007-05-16 09:39:34	ga_ls7e_ard_3-1-0_095079_2007-05-16_final
2007-09-21 09:36:35	ga_ls7e_ard_3-1-0_095073_2007-09-21_final
2007-11-22 11:32:37	ga_ls7e_ard_3-0-0_113084_2007-11-22_final
2008-01-27 09:42:20	ga_ls7e_ard_3-0-0_095086_2008-01-27_final
2008-02-24 11:41:50	ga_ls7e_ard_3-0-0_115076_2008-02-24_final
2008-07-05 09:36:19	ga_ls7e_ard_3-1-0_095073_2008-07-05_final
2008-10-05 11:41:30	ga_ls7e_ard_3-0-0_115079_2008-10-05_final
2009-07-13 11:32:10	ga_ls7e_ard_3-0-0_114067_2009-07-13_final
2010-03-17 11:44:33	ga_ls7e_ard_3-0-0_115078_2010-03-17_final
2010-12-16 11:34:40	ga_ls7e_ard_3-0-0_113082_2010-12-16_final
2011-03-23 09:00:41	ga_ls7e_ard_3-0-0_088082_2011-03-22_final
2011-04-09 09:40:49	ga_ls7e_ard_3-0-0_095074_2011-04-09_final
2011-09-16 09:40:05	ga_ls7e_ard_3-1-0_095073_2011-09-16_final
2012-06-26 11:46:05	ga_ls7e_ard_3-0-0_115076_2012-06-26_final
2012-08-01 09:42:32	ga_ls7e_ard_3-0-0_095075_2012-08-01_final
2012-09-17 09:02:11	ga_ls7e_ard_3-0-0_088081_2012-09-16_final
2012-11-21 09:45:35	ga_ls7e_ard_3-0-0_095080_2012-11-21_final
2012-12-21 11:38:10	ga_ls7e_ard_3-0-0_113083_2012-12-21_final
2013-01-23 09:02:55	ga_ls7e_ard_3-0-0_088081_2013-01-22_final
2014-04-17 09:44:18	ga_ls7e_ard_3-0-0_095074_2014-04-17_final
2014-07-06 09:48:43	ga_ls7e_ard_3-0-0_095084_2014-07-06_final
2015-01-03 11:45:09	ga_ls7e_ard_3-0-0_114079_2015-01-03_final
2015-01-12 11:41:00	ga_ls7e_ard_3-0-0_113084_2015-01-12_final
2015-11-26 11:51:40	ga_ls7e_ard_3-0-0_115074_2015-11-26_final
2016-04-02 11:54:34	ga_ls7e_ard_3-0-0_115078_2016-04-02_final
2016-04-20 11:43:57	ga_ls7e_ard_3-0-0_113082_2016-04-20_final
2017-01-19 09:54:05	ga_ls7e_ard_3-0-0_095086_2017-01-19_final
2017-04-09 09:48:42	ga_ls7e_ard_3-0-0_095072_2017-04-09_final
2017-07-30 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-07-30_final
2018-11-22 09:47:08	ga_ls7e_ard_3-0-0_095083_2018-11-22_final
2019-02-22 11:46:25	ga_ls7e_ard_3-1-0_115079_2019-02-22_final
2019-05-15 11:32:23	ga_ls7e_ard_3-0-0_113082_2019-05-15_final
2019-05-22 11:37:05	ga_ls7e_ard_3-0-0_114079_2019-05-22_final
2019-07-16 11:39:15	ga_ls7e_ard_3-0-0_115074_2019-07-16_final
2019-07-18 11:30:00	ga_ls7e_ard_3-0-0_113082_2019-07-18_final
2019-08-01 11:38:36	ga_ls7e_ard_3-0-0_115074_2019-08-01_final
2020-01-12 09:28:20	ga_ls7e_ard_3-1-0_095076_2020-01-11_final
2020-04-15 11:16:33	ga_ls7e_ard_3-1-0_113081_2020-04-15_final
2020-05-24 11:17:35	ga_ls7e_ard_3-1-0_114074_2020-05-24_final
2020-06-02 11:14:04	ga_ls7e_ard_3-1-0_113082_2020-06-02_final
2020-07-11 11:17:32	ga_ls7e_ard_3-1-0_114081_2020-07-11_final
2020-12-11 11:02:27	ga_ls7e_ard_3-1-0_113084_2020-12-11_final
2021-01-30 09:05:13	ga_ls7e_ard_3-2-0_095078_2021-01-29_final
2021-02-11 09:26:40	ga_ls7e_ard_3-2-0_099072_2021-02-10_final
2021-02-19 10:19:05	ga_ls7e_ard_3-2-0_107081_2021-02-19_final
2021-03-04 09:42:00	ga_ls7e_ard_3-2-0_102068_2021-03-04_final
2021-03-15 11:04:40	ga_ls7e_ard_3-2-0_115076_2021-03-15_final
2021-03-19 09:04:20	ga_ls7e_ard_3-2-0_095085_2021-03-18_final
2021-04-05 09:44:13	ga_ls7e_ard_3-2-0_102080_2021-04-05_final
2021-04-29 08:55:33	ga_ls7e_ard_3-2-0_094087_2021-04-28_final
2021-06-08 09:38:50	ga_ls7e_ard_3-2-0_102080_2021-06-08_final
2021-07-02 10:24:18	ga_ls7e_ard_3-2-0_110075_2021-07-02_final
2021-07-07 09:05:08	ga_ls7e_ard_3-2-0_097079_2021-07-06_final
2021-07-18 10:20:57	ga_ls7e_ard_3-2-0_110070_2021-07-18_final
2021-08-23 09:54:16	ga_ls7e_ard_3-2-0_106073_2021-08-23_final
2021-08-29 09:15:52	ga_ls7e_ard_3-2-0_100071_2021-08-28_final
2021-09-04 10:17:33	ga_ls7e_ard_3-2-0_110072_2021-09-04_final
2021-09-07 09:11:18	ga_ls7e_ard_3-2-0_099077_2021-09-06_final
2021-09-23 09:12:16	ga_ls7e_ard_3-2-0_099083_2021-09-22_final
2021-10-11 08:59:07	ga_ls7e_ard_3-2-0_097085_2021-10-10_final
2021-10-24 10:00:21	ga_ls7e_ard_3-2-0_108071_2021-10-24_final
2021-10-24 10:01:56	ga_ls7e_ard_3-2-0_108075_2021-10-24_final
2021-10-29 08:40:44	ga_ls7e_ard_3-2-0_095074_2021-10-28_final
2021-11-07 10:12:12	ga_ls7e_ard_3-2-0_110073_2021-11-07_final
2021-11-13 09:34:32	ga_ls7e_ard_3-2-1_104073_2021-11-13_final
2021-11-16 10:09:32	ga_ls7e_ard_3-2-1_109084_2021-11-16_final
2021-11-28 10:32:18	ga_ls7e_ard_3-2-1_113082_2021-11-28_final
2021-12-20 08:15:03	ga_ls7e_ard_3-2-1_091084_2021-12-19_final
2021-12-22 09:38:11	ga_ls7e_ard_3-2-1_105076_2021-12-22_final
2021-12-25 08:29:30	ga_ls7e_ard_3-2-1_094075_2021-12-24_final
2022-01-03 10:04:29	ga_ls7e_ard_3-2-1_109083_2022-01-03_final
2022-01-13 09:02:08	ga_ls7e_ard_3-2-1_099084_2022-01-12_final
2022-01-31 10:26:06	ga_ls7e_ard_3-2-1_113082_2022-01-31_final
2022-02-07 08:52:42	ga_ls7e_ard_3-2-1_098082_2022-02-06_final
2022-02-16 10:24:51	ga_ls7e_ard_3-2-1_113083_2022-02-16_final
2022-02-27 10:02:05	ga_ls7e_ard_3-2-1_110075_2022-02-27_final
2022-03-01 09:52:43	ga_ls7e_ard_3-2-1_108083_2022-03-01_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