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
2000-05-24 11:43:58	ga_ls7e_ard_3-1-0_115077_2000-05-24_final
2000-09-17 09:42:56	ga_ls7e_ard_3-0-0_095087_2000-09-17_final
2001-10-02 11:39:30	ga_ls7e_ard_3-0-0_115075_2001-10-02_final
2002-04-21 11:34:12	ga_ls7e_ard_3-0-0_114076_2002-04-21_final
2002-11-06 11:39:05	ga_ls7e_ard_3-0-0_115075_2002-11-06_final
2004-02-22 11:35:19	ga_ls7e_ard_3-0-0_114078_2004-02-22_final
2004-09-17 11:35:15	ga_ls7e_ard_3-0-0_114079_2004-09-17_final
2004-09-28 09:39:23	ga_ls7e_ard_3-1-0_095083_2004-09-28_final
2005-05-10 09:40:00	ga_ls7e_ard_3-0-0_095082_2005-05-10_final
2006-08-01 09:37:17	ga_ls7e_ard_3-0-0_095075_2006-08-01_final
2006-09-02 09:41:12	ga_ls7e_ard_3-0-0_095085_2006-09-02_final
2007-01-20 11:42:15	ga_ls7e_ard_3-1-0_115077_2007-01-20_final
2007-04-10 11:41:20	ga_ls7e_ard_3-0-0_115074_2007-04-10_final
2007-11-08 09:37:39	ga_ls7e_ard_3-0-0_095075_2007-11-08_final
2008-03-04 11:36:48	ga_ls7e_ard_3-0-0_114079_2008-03-04_final
2008-04-12 11:41:20	ga_ls7e_ard_3-0-0_115075_2008-04-12_final
2008-05-14 11:41:36	ga_ls7e_ard_3-0-0_115076_2008-05-14_final
2008-06-03 09:41:51	ga_ls7e_ard_3-0-0_095086_2008-06-03_final
2008-07-10 11:35:41	ga_ls7e_ard_3-0-0_114078_2008-07-10_final
2008-07-21 09:36:31	ga_ls7e_ard_3-0-0_095074_2008-07-21_final
2008-10-05 11:40:18	ga_ls7e_ard_3-0-0_115076_2008-10-05_final
2009-08-14 11:36:47	ga_ls7e_ard_3-0-0_114079_2009-08-14_final
2009-11-13 09:42:58	ga_ls7e_ard_3-0-0_095087_2009-11-13_final
2009-11-18 11:36:52	ga_ls7e_ard_3-0-0_114078_2009-11-18_final
2010-02-22 11:37:00	ga_ls7e_ard_3-0-0_114075_2010-02-22_final
2010-10-31 09:42:07	ga_ls7e_ard_3-0-0_095080_2010-10-31_final
2010-12-07 11:40:23	ga_ls7e_ard_3-0-0_114081_2010-12-07_final
2011-09-21 11:39:53	ga_ls7e_ard_3-0-0_114079_2011-09-21_final
2011-12-21 09:44:17	ga_ls7e_ard_3-0-0_095082_2011-12-21_final
2013-10-03 11:46:39	ga_ls7e_ard_3-0-0_115074_2013-10-03_final
2014-04-13 11:49:03	ga_ls7e_ard_3-1-0_115077_2014-04-13_final
2014-04-17 09:49:05	ga_ls7e_ard_3-0-0_095086_2014-04-17_final
2016-01-17 09:52:27	ga_ls7e_ard_3-0-0_095083_2016-01-17_final
2016-08-28 09:49:05	ga_ls7e_ard_3-0-0_095072_2016-08-28_final
2016-09-09 11:54:42	ga_ls7e_ard_3-0-0_115077_2016-09-09_final
2016-10-04 11:47:23	ga_ls7e_ard_3-0-0_114074_2016-10-04_final
2016-10-04 11:48:59	ga_ls7e_ard_3-0-0_114078_2016-10-04_final
2016-12-02 09:48:54	ga_ls7e_ard_3-0-0_095072_2016-12-02_final
2017-07-03 11:49:17	ga_ls7e_ard_3-0-0_114079_2017-07-03_final
2018-06-04 11:44:56	ga_ls7e_ard_3-0-0_114075_2018-06-04_final
2018-10-17 11:48:21	ga_ls7e_ard_3-0-0_115075_2018-10-17_final
2018-10-17 11:48:45	ga_ls7e_ard_3-0-0_115076_2018-10-17_final
2018-11-27 11:41:14	ga_ls7e_ard_3-0-0_114075_2018-11-27_final
2018-12-08 09:46:19	ga_ls7e_ard_3-0-0_095082_2018-12-08_final
2018-12-29 11:41:32	ga_ls7e_ard_3-0-0_114078_2018-12-29_final
2019-02-10 09:41:11	ga_ls7e_ard_3-0-0_095074_2019-02-10_final
2019-02-26 09:44:17	ga_ls7e_ard_3-1-0_095083_2019-02-26_final
2019-05-01 09:42:29	ga_ls7e_ard_3-0-0_095084_2019-05-01_final
2019-05-06 11:37:19	ga_ls7e_ard_3-0-0_114078_2019-05-06_final
2019-06-18 09:40:18	ga_ls7e_ard_3-0-0_095083_2019-06-18_final
2019-08-21 09:34:10	ga_ls7e_ard_3-0-0_095074_2019-08-21_final
2019-08-21 09:37:46	ga_ls7e_ard_3-0-0_095083_2019-08-21_final
2019-10-29 11:29:02	ga_ls7e_ard_3-1-0_114075_2019-10-29_final
2019-11-09 09:33:54	ga_ls7e_ard_3-1-0_095082_2019-11-09_final
2019-12-11 09:32:22	ga_ls7e_ard_3-1-0_095082_2019-12-11_final
2020-04-17 09:25:12	ga_ls7e_ard_3-1-0_095081_2020-04-16_final
2020-07-27 11:14:10	ga_ls7e_ard_3-1-0_114075_2020-07-27_final
2020-08-07 09:15:15	ga_ls7e_ard_3-1-0_095073_2020-08-06_final
2021-02-10 10:25:33	ga_ls7e_ard_3-2-0_108080_2021-02-10_final
2021-02-13 10:56:37	ga_ls7e_ard_3-2-0_113081_2021-02-13_final
2021-03-11 09:48:26	ga_ls7e_ard_3-2-0_103070_2021-03-11_final
2021-04-02 10:53:15	ga_ls7e_ard_3-2-0_113082_2021-04-02_final
2021-04-15 08:41:11	ga_ls7e_ard_3-2-0_092079_2021-04-14_final
2021-05-17 08:37:18	ga_ls7e_ard_3-2-0_092076_2021-05-16_final
2021-05-19 10:00:51	ga_ls7e_ard_3-2-0_106069_2021-05-19_final
2021-06-15 09:45:15	ga_ls7e_ard_3-2-0_103082_2021-06-15_final
2021-06-27 08:29:18	ga_ls7e_ard_3-2-0_091080_2021-06-26_final
2021-07-02 08:47:25	ga_ls7e_ard_3-2-0_094080_2021-07-01_final
2021-08-15 09:04:19	ga_ls7e_ard_3-2-0_098070_2021-08-14_final
2021-08-16 09:48:41	ga_ls7e_ard_3-2-0_105073_2021-08-16_final
2021-08-19 10:23:19	ga_ls7e_ard_3-2-0_110083_2021-08-19_final
2021-08-26 10:25:18	ga_ls7e_ard_3-2-0_111074_2021-08-26_final
2021-09-02 08:54:00	ga_ls7e_ard_3-2-0_096079_2021-09-01_final
2021-09-13 10:14:34	ga_ls7e_ard_3-2-0_109082_2021-09-13_final
2021-09-17 09:44:18	ga_ls7e_ard_3-2-0_105069_2021-09-17_final
2021-09-20 10:16:32	ga_ls7e_ard_3-2-0_110073_2021-09-20_final
2021-09-25 10:38:37	ga_ls7e_ard_3-2-0_113083_2021-09-25_final
2021-09-27 08:47:35	ga_ls7e_ard_3-2-0_095084_2021-09-26_final
2021-09-28 09:27:58	ga_ls7e_ard_3-2-0_102077_2021-09-27_final
2021-10-18 10:40:46	ga_ls7e_ard_3-2-0_114078_2021-10-18_final
2021-10-24 10:05:32	ga_ls7e_ard_3-2-0_108084_2021-10-24_final
2021-10-31 10:11:04	ga_ls7e_ard_3-2-0_109084_2021-10-31_final
2021-11-01 09:14:33	ga_ls7e_ard_3-2-0_100082_2021-10-31_final
2021-11-07 08:37:42	ga_ls7e_ard_3-2-0_094084_2021-11-06_final
2021-11-13 09:35:44	ga_ls7e_ard_3-2-1_104076_2021-11-13_final
2021-11-18 09:51:23	ga_ls7e_ard_3-2-1_107070_2021-11-18_final
2021-11-25 10:01:40	ga_ls7e_ard_3-2-1_108082_2021-11-25_final
2021-11-30 08:42:28	ga_ls7e_ard_3-2-1_095086_2021-11-29_final
2021-11-30 10:16:57	ga_ls7e_ard_3-2-1_111075_2021-11-30_final
2021-12-07 08:46:24	ga_ls7e_ard_3-2-1_096082_2021-12-06_final
2021-12-21 08:58:36	ga_ls7e_ard_3-2-1_098085_2021-12-20_final
2022-01-12 08:19:46	ga_ls7e_ard_3-2-1_092086_2022-01-11_final
2022-01-24 08:36:57	ga_ls7e_ard_3-2-1_096070_2022-01-23_final
2022-01-29 08:59:23	ga_ls7e_ard_3-2-1_099081_2022-01-28_final
2022-02-02 10:07:58	ga_ls7e_ard_3-2-1_111068_2022-02-02_final
2022-02-07 08:47:07	ga_ls7e_ard_3-2-1_098068_2022-02-06_final
2022-02-10 09:18:30	ga_ls7e_ard_3-2-1_103070_2022-02-09_final
2022-02-15 08:01:14	ga_ls7e_ard_3-2-1_090079_2022-02-14_final
2022-03-20 08:43:39	ga_ls7e_ard_3-2-1_097085_2022-03-19_final
2022-03-31 08:24:29	ga_ls7e_ard_3-2-1_094086_2022-03-30_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