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
1999-09-22 09:51:06	ga_ls7e_ard_3-1-0_096086_1999-09-22_final
2000-01-07 11:07:22	ga_ls7e_ard_3-0-0_109076_2000-01-07_final
2001-09-04 09:39:48	ga_ls7e_ard_3-0-0_095084_2001-09-04_final
2002-04-19 10:08:04	ga_ls7e_ard_3-0-0_100077_2002-04-19_final
2002-04-27 10:56:45	ga_ls7e_ard_3-0-0_108075_2002-04-27_final
2002-09-20 10:43:21	ga_ls7e_ard_3-1-0_106075_2002-09-20_final
2003-02-02 10:50:20	ga_ls7e_ard_3-0-0_107075_2003-02-02_final
2003-02-05 11:24:28	ga_ls7e_ard_3-0-0_112083_2003-02-05_final
2003-03-05 10:08:02	ga_ls7e_ard_3-0-0_100077_2003-03-05_final
2003-04-05 11:02:28	ga_ls7e_ard_3-0-0_109074_2003-04-05_final
2003-08-11 11:04:31	ga_ls7e_ard_3-0-0_109080_2003-08-11_final
2004-03-25 09:53:49	ga_ls7e_ard_3-0-0_098071_2004-03-25_final
2004-05-19 10:00:19	ga_ls7e_ard_3-0-0_099072_2004-05-19_final
2004-06-29 09:58:21	ga_ls7e_ard_3-0-0_098083_2004-06-29_final
2004-07-07 10:41:47	ga_ls7e_ard_3-0-0_106068_2004-07-07_final
2004-08-17 10:38:36	ga_ls7e_ard_3-0-0_105076_2004-08-17_final
2004-11-24 11:10:32	ga_ls7e_ard_3-0-0_110078_2004-11-24_final
2005-01-18 11:15:29	ga_ls7e_ard_3-0-0_111074_2005-01-18_final
2005-04-05 10:45:13	ga_ls7e_ard_3-1-0_106075_2005-04-05_final
2005-07-21 10:25:16	ga_ls7e_ard_3-0-0_103072_2005-07-21_final
2005-10-17 11:15:14	ga_ls7e_ard_3-0-0_111074_2005-10-17_final
2005-11-02 11:15:03	ga_ls7e_ard_3-0-0_111073_2005-11-02_final
2005-11-14 10:00:12	ga_ls7e_ard_3-0-0_099071_2005-11-14_final
2005-12-20 09:34:02	ga_ls7e_ard_3-0-0_095067_2005-12-20_final
2006-03-29 10:12:10	ga_ls7e_ard_3-0-0_100084_2006-03-29_final
2006-08-24 11:21:55	ga_ls7e_ard_3-0-0_112074_2006-08-24_final
2006-10-23 10:08:54	ga_ls7e_ard_3-0-0_100077_2006-10-23_final
2006-12-15 10:26:01	ga_ls7e_ard_3-0-0_103072_2006-12-15_final
2007-03-11 11:32:57	ga_ls7e_ard_3-0-0_113084_2007-03-11_final
2007-04-14 11:16:12	ga_ls7e_ard_3-0-0_111073_2007-04-14_final
2007-06-22 09:53:12	ga_ls7e_ard_3-0-0_098067_2007-06-22_final
2008-02-15 10:09:35	ga_ls7e_ard_3-0-0_100077_2008-02-15_final
2008-09-07 09:33:23	ga_ls7e_ard_3-0-0_095067_2008-09-07_final
2008-12-24 10:03:05	ga_ls7e_ard_3-0-0_099078_2008-12-24_final
2010-05-04 10:05:18	ga_ls7e_ard_3-0-0_099077_2010-05-04_final
2010-10-15 11:22:27	ga_ls7e_ard_3-0-0_111084_2010-10-15_final
2010-12-02 09:37:19	ga_ls7e_ard_3-0-0_095067_2010-12-02_final
2011-04-28 10:10:31	ga_ls7e_ard_3-0-0_100071_2011-04-28_final
2011-07-14 09:45:55	ga_ls7e_ard_3-0-0_095087_2011-07-14_final
2011-12-25 10:57:42	ga_ls7e_ard_3-0-0_107080_2011-12-25_final
2012-06-15 10:26:52	ga_ls7e_ard_3-0-0_102079_2012-06-15_final
2013-04-28 09:59:52	ga_ls7e_ard_3-0-0_097085_2013-04-28_final
2014-01-28 10:30:04	ga_ls7e_ard_3-0-0_102081_2014-01-28_final
2014-03-23 09:47:30	ga_ls7e_ard_3-0-0_096067_2014-03-23_final
2014-08-05 10:01:12	ga_ls7e_ard_3-0-0_097084_2014-08-05_final
2014-08-19 11:50:26	ga_ls7e_ard_3-0-0_115079_2014-08-19_final
2014-10-31 11:39:59	ga_ls7e_ard_3-0-0_114067_2014-10-31_final
2015-02-10 11:06:38	ga_ls7e_ard_3-0-0_108075_2015-02-10_final
2015-02-28 10:51:39	ga_ls7e_ard_3-0-0_106068_2015-02-28_final
2015-02-28 10:57:14	ga_ls7e_ard_3-0-0_106082_2015-02-28_final
2016-01-23 10:51:08	ga_ls7e_ard_3-0-0_105075_2016-01-23_final
2016-03-13 10:41:55	ga_ls7e_ard_3-0-0_103082_2016-03-13_final
2016-04-06 11:29:03	ga_ls7e_ard_3-0-0_111076_2016-04-06_final
2016-08-05 11:22:55	ga_ls7e_ard_3-0-0_110075_2016-08-05_final
2016-08-28 11:31:09	ga_ls7e_ard_3-0-0_111080_2016-08-28_final
2016-09-15 11:16:26	ga_ls7e_ard_3-0-0_109074_2016-09-15_final
2016-09-19 10:52:31	ga_ls7e_ard_3-0-0_105076_2016-09-19_final
2016-11-01 10:32:20	ga_ls7e_ard_3-0-0_102072_2016-11-01_final
2016-11-14 11:41:00	ga_ls7e_ard_3-0-0_113074_2016-11-14_final
2017-03-09 10:35:24	ga_ls7e_ard_3-0-0_102081_2017-03-09_final
2017-03-13 10:11:30	ga_ls7e_ard_3-0-0_098083_2017-03-13_final
2017-09-12 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-09-12_final
2018-01-05 10:48:08	ga_ls7e_ard_3-0-0_104082_2018-01-05_final
2018-03-12 10:34:30	ga_ls7e_ard_3-0-0_102081_2018-03-12_final
2018-03-24 10:54:16	ga_ls7e_ard_3-0-0_106069_2018-03-24_final
2018-04-28 09:47:19	ga_ls7e_ard_3-1-0_095073_2018-04-28_final
2018-05-10 10:09:25	ga_ls7e_ard_3-0-0_099067_2018-05-10_final
2018-06-05 10:49:17	ga_ls7e_ard_3-0-0_105075_2018-06-05_final
2018-08-23 11:40:15	ga_ls7e_ard_3-0-0_114067_2018-08-23_final
2019-01-02 11:14:18	ga_ls7e_ard_3-1-0_110072_2019-01-02_final
2019-02-10 11:19:40	ga_ls7e_ard_3-0-0_111073_2019-02-10_final
2019-02-16 10:42:48	ga_ls7e_ard_3-1-0_105074_2019-02-16_final
2019-02-28 11:07:33	ga_ls7e_ard_3-1-0_109075_2019-02-28_final
2019-03-14 11:22:40	ga_ls7e_ard_3-1-0_111083_2019-03-14_final
2019-04-20 11:39:07	ga_ls7e_ard_3-0-0_114081_2019-04-20_final
2019-05-10 09:37:09	ga_ls7e_ard_3-0-0_094087_2019-05-10_final
2019-06-22 10:54:19	ga_ls7e_ard_3-0-0_107083_2019-06-22_final
2019-11-25 11:08:03	ga_ls7e_ard_3-1-0_111072_2019-11-25_final
2019-12-01 10:29:29	ga_ls7e_ard_3-1-0_105069_2019-12-01_final
2019-12-04 11:01:50	ga_ls7e_ard_3-1-0_110073_2019-12-04_final
2020-01-24 09:55:40	ga_ls7e_ard_3-1-0_099084_2020-01-24_final
2020-01-26 09:38:01	ga_ls7e_ard_3-1-0_097071_2020-01-26_final
2020-03-11 10:45:14	ga_ls7e_ard_3-1-0_108075_2020-03-11_final
2020-03-29 10:35:04	ga_ls7e_ard_3-1-0_106083_2020-03-29_final
2020-04-07 10:27:35	ga_ls7e_ard_3-1-0_105081_2020-04-07_final
2020-06-04 09:16:44	ga_ls7e_ard_3-1-0_095067_2020-06-03_final
2020-07-04 09:34:30	ga_ls7e_ard_3-1-0_097085_2020-07-04_final
2021-02-26 10:22:20	ga_ls7e_ard_3-2-0_108075_2021-02-26_final
2021-05-19 10:05:39	ga_ls7e_ard_3-2-0_106081_2021-05-19_final
2021-08-10 10:23:55	ga_ls7e_ard_3-2-0_111067_2021-08-10_final
2021-08-21 10:07:36	ga_ls7e_ard_3-2-0_108075_2021-08-21_final
2021-09-11 10:22:43	ga_ls7e_ard_3-2-0_111071_2021-09-11_final
2021-10-13 08:39:24	ga_ls7e_ard_3-2-0_095067_2021-10-12_final
2021-11-09 10:02:26	ga_ls7e_ard_3-2-0_108080_2021-11-09_final
2022-01-22 08:52:42	ga_ls7e_ard_3-2-1_098078_2022-01-21_final
2022-01-26 10:04:28	ga_ls7e_ard_3-2-1_110073_2022-01-26_final
2022-02-04 10:01:47	ga_ls7e_ard_3-2-1_109084_2022-02-04_final
2022-02-07 08:47:31	ga_ls7e_ard_3-2-1_098069_2022-02-06_final
2022-02-13 08:12:12	ga_ls7e_ard_3-2-1_092075_2022-02-12_final
2022-03-02 08:50:38	ga_ls7e_ard_3-2-1_099067_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years