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
2000-01-30 09:31:02	ga_ls7e_ard_3-1-0_094067_2000-01-30_final
2000-09-10 09:28:56	ga_ls7e_ard_3-1-0_094067_2000-09-09_final
2001-01-20 10:46:05	ga_ls7e_ard_3-1-0_106075_2001-01-20_final
2003-04-12 09:26:59	ga_ls7e_ard_3-1-0_094067_2003-04-11_final
2003-12-29 11:29:44	ga_ls7e_ard_3-1-0_113080_2003-12-29_final
2004-01-11 10:55:16	ga_ls7e_ard_3-1-0_108071_2004-01-11_final
2004-02-28 10:55:28	ga_ls7e_ard_3-1-0_108071_2004-02-28_final
2004-05-15 10:28:38	ga_ls7e_ard_3-1-0_103081_2004-05-15_final
2005-01-18 09:36:12	ga_ls7e_ard_3-1-0_095073_2005-01-18_final
2005-02-25 09:02:34	ga_ls7e_ard_3-1-0_089081_2005-02-24_final
2005-04-17 09:30:10	ga_ls7e_ard_3-1-0_094073_2005-04-17_final
2006-06-25 10:57:53	ga_ls7e_ard_3-1-0_108075_2006-06-25_final
2006-10-17 10:45:05	ga_ls7e_ard_3-1-0_106075_2006-10-17_final
2006-12-19 10:06:06	ga_ls7e_ard_3-1-0_099084_2006-12-19_final
2007-03-04 09:48:40	ga_ls7e_ard_3-1-0_096086_2007-03-04_final
2007-10-29 09:06:03	ga_ls7e_ard_3-1-0_089089_2007-10-28_final
2008-02-19 09:48:26	ga_ls7e_ard_3-1-0_096086_2008-02-19_final
2008-10-31 10:40:20	ga_ls7e_ard_3-1-0_105080_2008-10-31_final
2008-11-19 09:27:26	ga_ls7e_ard_3-1-0_094067_2008-11-18_final
2009-05-07 09:30:27	ga_ls7e_ard_3-1-0_093087_2009-05-07_final
2009-06-03 10:46:01	ga_ls7e_ard_3-1-0_106075_2009-06-03_final
2009-07-10 09:30:23	ga_ls7e_ard_3-1-0_093087_2009-07-10_final
2009-12-08 09:29:06	ga_ls7e_ard_3-1-0_094067_2009-12-07_final
2011-03-01 11:12:38	ga_ls7e_ard_3-1-0_110072_2011-03-01_final
2011-10-09 09:51:23	ga_ls7e_ard_3-1-0_096086_2011-10-09_final
2013-04-23 09:34:08	ga_ls7e_ard_3-1-0_094067_2013-04-23_final
2014-03-18 09:36:55	ga_ls7e_ard_3-1-0_093087_2014-03-18_final
2014-05-12 09:35:31	ga_ls7e_ard_3-1-0_094067_2014-05-12_final
2015-01-23 09:36:48	ga_ls7e_ard_3-1-0_094067_2015-01-23_final
2015-05-18 11:51:27	ga_ls7e_ard_3-1-0_115077_2015-05-18_final
2015-10-24 11:08:18	ga_ls7e_ard_3-1-0_108075_2015-10-24_final
2016-02-13 11:08:13	ga_ls7e_ard_3-1-0_108071_2016-02-13_final
2016-07-20 11:21:41	ga_ls7e_ard_3-1-0_110072_2016-07-20_final
2016-09-10 10:58:17	ga_ls7e_ard_3-1-0_106075_2016-09-10_final
2016-09-26 10:58:20	ga_ls7e_ard_3-1-0_106075_2016-09-26_final
2016-12-24 10:53:46	ga_ls7e_ard_3-1-0_105080_2016-12-24_final
2017-01-25 09:14:56	ga_ls7e_ard_3-1-0_089081_2017-01-24_final
2017-03-01 09:40:18	ga_ls7e_ard_3-1-0_094067_2017-03-01_final
2017-03-05 10:57:41	ga_ls7e_ard_3-1-0_106075_2017-03-05_final
2017-07-11 10:58:15	ga_ls7e_ard_3-1-0_106075_2017-07-11_final
2017-11-30 11:10:27	ga_ls7e_ard_3-1-0_108075_2017-11-30_final
2017-12-14 11:21:29	ga_ls7e_ard_3-1-0_110072_2017-12-14_final
2018-05-30 09:46:48	ga_ls7e_ard_3-1-0_095073_2018-05-30_final
2018-07-26 09:37:10	ga_ls7e_ard_3-1-0_094067_2018-07-26_final
2018-08-15 10:54:09	ga_ls7e_ard_3-1-0_106075_2018-08-15_final
2018-11-15 11:16:49	ga_ls7e_ard_3-1-0_110075_2018-11-15_final
2019-01-18 09:32:55	ga_ls7e_ard_3-1-0_094067_2019-01-18_final
2019-02-26 11:19:11	ga_ls7e_ard_3-1-0_111073_2019-02-26_final
2019-02-26 11:19:35	ga_ls7e_ard_3-1-0_111074_2019-02-26_final
2019-03-03 09:56:17	ga_ls7e_ard_3-1-0_098067_2019-03-03_final
2019-03-07 09:39:25	ga_ls7e_ard_3-1-0_094087_2019-03-07_final
2019-03-11 09:10:35	ga_ls7e_ard_3-1-0_090077_2019-03-10_final
2019-03-12 09:56:36	ga_ls7e_ard_3-1-0_097084_2019-03-12_final
2019-03-28 11:30:58	ga_ls7e_ard_3-1-0_113074_2019-03-28_final
2019-08-09 09:14:45	ga_ls7e_ard_3-1-0_091086_2019-08-08_final
2019-08-14 11:07:34	ga_ls7e_ard_3-1-0_110075_2019-08-14_final
2019-09-14 10:25:22	ga_ls7e_ard_3-1-0_103081_2019-09-14_final
2019-09-21 10:26:03	ga_ls7e_ard_3-1-0_104068_2019-09-21_final
2019-09-22 11:10:27	ga_ls7e_ard_3-1-0_111071_2019-09-22_final
2019-09-24 09:21:55	ga_ls7e_ard_3-1-0_093078_2019-09-23_final
2019-09-28 10:31:55	ga_ls7e_ard_3-1-0_105068_2019-09-28_final
2019-10-10 10:59:21	ga_ls7e_ard_3-1-0_109076_2019-10-10_final
2019-10-12 09:13:36	ga_ls7e_ard_3-1-0_091090_2019-10-11_final
2019-10-24 09:31:02	ga_ls7e_ard_3-1-0_095073_2019-10-24_final
2019-10-28 09:12:07	ga_ls7e_ard_3-1-0_091088_2019-10-27_final
2019-11-04 09:17:59	ga_ls7e_ard_3-1-0_092088_2019-11-03_final
2019-11-04 10:49:41	ga_ls7e_ard_3-1-0_108070_2019-11-04_final
2019-11-08 10:23:59	ga_ls7e_ard_3-1-0_104068_2019-11-08_final
2019-11-11 10:57:09	ga_ls7e_ard_3-1-0_109074_2019-11-11_final
2019-11-14 09:52:37	ga_ls7e_ard_3-1-0_098083_2019-11-14_final
2019-11-17 10:17:24	ga_ls7e_ard_3-1-0_103068_2019-11-17_final
2019-11-21 09:56:28	ga_ls7e_ard_3-1-0_099078_2019-11-21_final
2019-11-29 10:42:20	ga_ls7e_ard_3-1-0_107070_2019-11-29_final
2019-12-13 10:56:24	ga_ls7e_ard_3-1-0_109076_2019-12-13_final
2019-12-14 10:01:08	ga_ls7e_ard_3-1-0_100077_2019-12-14_final
2019-12-30 09:58:18	ga_ls7e_ard_3-1-0_100072_2019-12-30_final
2020-01-01 09:50:14	ga_ls7e_ard_3-1-0_098083_2020-01-01_final
2020-01-03 09:33:23	ga_ls7e_ard_3-1-0_096072_2020-01-03_final
2020-01-04 10:14:59	ga_ls7e_ard_3-1-0_103068_2020-01-04_final
2020-01-21 10:59:00	ga_ls7e_ard_3-1-0_110072_2020-01-21_final
2020-01-23 09:13:15	ga_ls7e_ard_3-1-0_092086_2020-01-22_final
2020-01-24 09:48:53	ga_ls7e_ard_3-1-0_099067_2020-01-24_final
2020-01-28 11:04:26	ga_ls7e_ard_3-1-0_111071_2020-01-28_final
2020-02-06 10:59:00	ga_ls7e_ard_3-1-0_110074_2020-02-06_final
2020-02-09 09:52:27	ga_ls7e_ard_3-1-0_099078_2020-02-09_final
2020-02-18 09:48:36	ga_ls7e_ard_3-1-0_098085_2020-02-18_final
2020-02-21 10:17:45	ga_ls7e_ard_3-1-0_103081_2020-02-21_final
2020-02-22 10:56:34	ga_ls7e_ard_3-1-0_110070_2020-02-22_final
2020-03-04 10:38:38	ga_ls7e_ard_3-1-0_107073_2020-03-04_final
2020-03-09 10:57:18	ga_ls7e_ard_3-1-0_110074_2020-03-09_final
2020-03-25 10:54:50	ga_ls7e_ard_3-1-0_110070_2020-03-25_final
2020-04-02 10:04:08	ga_ls7e_ard_3-1-0_102068_2020-04-02_final
2020-04-15 11:10:58	ga_ls7e_ard_3-1-0_113067_2020-04-15_final
2020-04-22 09:44:15	ga_ls7e_ard_3-1-0_098083_2020-04-22_final
2020-06-20 09:23:46	ga_ls7e_ard_3-1-0_095087_2020-06-19_final
2021-02-26 10:21:56	ga_ls7e_ard_3-2-0_108074_2021-02-26_final
2021-03-30 10:22:59	ga_ls7e_ard_3-2-0_108083_2021-03-30_final
2021-04-02 10:50:03	ga_ls7e_ard_3-2-0_113074_2021-04-02_final
2021-04-23 09:26:45	ga_ls7e_ard_3-2-0_100071_2021-04-22_final
2021-05-19 10:03:39	ga_ls7e_ard_3-2-0_106076_2021-05-19_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