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
2001-07-16 11:27:47	ga_ls7e_ard_3-0-0_113074_2001-07-16_final
2004-11-13 11:27:23	ga_ls7e_ard_3-0-0_113074_2004-11-13_final
2005-07-20 11:24:29	ga_ls7e_ard_3-0-0_112081_2005-07-20_final
2006-09-16 11:31:34	ga_ls7e_ard_3-0-0_113083_2006-09-16_final
2007-05-30 11:31:53	ga_ls7e_ard_3-0-0_113082_2007-05-30_final
2007-07-08 11:37:15	ga_ls7e_ard_3-0-0_114080_2007-07-08_final
2007-07-31 11:42:56	ga_ls7e_ard_3-0-0_115079_2007-07-31_final
2008-10-07 11:27:08	ga_ls7e_ard_3-0-0_113074_2008-10-07_final
2008-11-24 11:30:30	ga_ls7e_ard_3-0-0_113081_2008-11-24_final
2009-06-04 11:31:17	ga_ls7e_ard_3-0-0_113080_2009-06-04_final
2009-07-13 11:32:10	ga_ls7e_ard_3-0-0_114067_2009-07-13_final
2009-10-17 11:32:00	ga_ls7e_ard_3-0-0_114067_2009-10-17_final
2010-05-29 11:33:58	ga_ls7e_ard_3-0-0_114067_2010-05-29_final
2010-06-23 11:30:37	ga_ls7e_ard_3-0-0_113074_2010-06-23_final
2010-09-11 11:27:56	ga_ls7e_ard_3-0-0_113067_2010-09-11_final
2010-11-12 11:44:17	ga_ls7e_ard_3-0-0_115076_2010-11-12_final
2011-07-12 11:31:58	ga_ls7e_ard_3-0-0_113074_2011-07-12_final
2012-03-24 11:29:47	ga_ls7e_ard_3-0-0_113067_2012-03-24_final
2012-04-09 11:29:42	ga_ls7e_ard_3-0-0_113067_2012-04-09_final
2012-04-16 11:35:53	ga_ls7e_ard_3-0-0_114067_2012-04-16_final
2013-05-21 11:37:41	ga_ls7e_ard_3-0-0_114067_2013-05-21_final
2013-11-20 11:46:59	ga_ls7e_ard_3-0-0_115074_2013-11-20_final
2014-02-01 11:43:53	ga_ls7e_ard_3-0-0_114080_2014-02-01_final
2014-05-08 11:41:52	ga_ls7e_ard_3-0-0_114074_2014-05-08_final
2014-05-17 11:32:59	ga_ls7e_ard_3-0-0_113067_2014-05-17_final
2015-06-19 11:51:37	ga_ls7e_ard_3-1-0_115077_2015-06-19_final
2015-07-23 11:41:47	ga_ls7e_ard_3-0-0_113083_2015-07-23_final
2015-12-30 11:39:49	ga_ls7e_ard_3-0-0_113074_2015-12-30_final
2016-04-29 11:38:13	ga_ls7e_ard_3-0-0_112083_2016-04-29_final
2016-10-04 11:50:11	ga_ls7e_ard_3-0-0_114081_2016-10-04_final
2016-10-13 11:44:23	ga_ls7e_ard_3-0-0_113082_2016-10-13_final
2016-10-29 11:43:31	ga_ls7e_ard_3-0-0_113080_2016-10-29_final
2017-10-16 11:41:05	ga_ls7e_ard_3-0-0_113074_2017-10-16_final
2017-12-01 11:55:18	ga_ls7e_ard_3-0-0_115079_2017-12-01_final
2017-12-12 11:38:39	ga_ls7e_ard_3-1-0_112084_2017-12-12_final
2018-02-21 11:37:07	ga_ls7e_ard_3-0-0_113067_2018-02-21_final
2018-03-09 11:39:44	ga_ls7e_ard_3-0-0_113074_2018-03-09_final
2018-05-28 11:42:27	ga_ls7e_ard_3-0-0_113084_2018-05-28_final
2018-10-19 11:32:46	ga_ls7e_ard_3-0-0_113067_2018-10-19_final
2019-01-30 11:38:55	ga_ls7e_ard_3-0-0_114074_2019-01-30_final
2019-09-18 11:38:33	ga_ls7e_ard_3-1-0_115079_2019-09-18_final
2019-12-07 11:34:35	ga_ls7e_ard_3-1-0_115078_2019-12-07_final
2020-02-04 11:15:03	ga_ls7e_ard_3-1-0_112083_2020-02-04_final
2020-03-14 11:15:34	ga_ls7e_ard_3-1-0_113074_2020-03-14_final
2020-04-22 11:21:56	ga_ls7e_ard_3-1-0_114080_2020-04-22_final
2020-05-01 11:10:01	ga_ls7e_ard_3-1-0_113067_2020-05-01_final
2020-11-24 08:41:58	ga_ls7e_ard_3-1-0_090085_2020-11-23_final
2020-11-24 10:16:27	ga_ls7e_ard_3-1-0_106074_2020-11-24_final
2020-11-25 10:59:38	ga_ls7e_ard_3-1-0_113074_2020-11-25_final
2020-11-27 09:13:03	ga_ls7e_ard_3-1-0_095086_2020-11-26_final
2020-11-28 09:51:03	ga_ls7e_ard_3-1-0_102073_2020-11-28_final
2020-12-04 09:18:43	ga_ls7e_ard_3-1-0_096086_2020-12-03_final
2020-12-04 10:56:00	ga_ls7e_ard_3-1-0_112082_2020-12-04_final
2020-12-09 09:30:30	ga_ls7e_ard_3-1-0_099070_2020-12-09_final
2020-12-13 10:48:44	ga_ls7e_ard_3-1-0_111081_2020-12-13_final
2020-12-27 11:00:28	ga_ls7e_ard_3-1-0_113082_2020-12-27_final
2021-01-02 08:44:30	ga_ls7e_ard_3-1-0_091083_2021-01-01_final
2021-01-04 08:30:00	ga_ls7e_ard_3-1-0_089078_2021-01-03_final
2021-01-06 09:52:23	ga_ls7e_ard_3-1-0_103068_2021-01-06_final
2021-02-01 08:51:31	ga_ls7e_ard_3-2-0_093075_2021-01-31_final
2021-02-08 10:35:40	ga_ls7e_ard_3-2-0_110074_2021-02-08_final
2021-02-24 08:55:35	ga_ls7e_ard_3-2-0_094074_2021-02-23_final
2021-03-04 09:47:35	ga_ls7e_ard_3-2-0_102082_2021-03-04_final
2021-03-05 10:26:23	ga_ls7e_ard_3-2-0_109071_2021-03-05_final
2021-03-10 09:11:14	ga_ls7e_ard_3-2-0_096085_2021-03-09_final
2021-03-28 10:32:43	ga_ls7e_ard_3-2-0_110076_2021-03-28_final
2021-04-18 09:14:14	ga_ls7e_ard_3-2-0_097085_2021-04-17_final
2021-04-25 10:57:06	ga_ls7e_ard_3-2-0_114081_2021-04-25_final
2021-04-27 10:42:10	ga_ls7e_ard_3-2-0_112075_2021-04-27_final
2021-05-01 08:43:26	ga_ls7e_ard_3-2-0_092088_2021-04-30_final
2021-05-25 09:26:51	ga_ls7e_ard_3-2-0_100078_2021-05-24_final
2021-05-25 09:28:51	ga_ls7e_ard_3-2-0_100083_2021-05-24_final
2021-05-29 09:04:59	ga_ls7e_ard_3-2-0_096086_2021-05-28_final
2021-05-31 10:26:32	ga_ls7e_ard_3-2-0_110074_2021-05-31_final
2021-06-19 09:15:01	ga_ls7e_ard_3-2-0_099069_2021-06-18_final
2021-06-21 10:46:57	ga_ls7e_ard_3-2-0_113083_2021-06-21_final
2021-07-04 08:36:29	ga_ls7e_ard_3-2-0_092084_2021-07-03_final
2021-08-07 09:53:41	ga_ls7e_ard_3-2-0_106068_2021-08-07_final
2021-08-14 10:02:25	ga_ls7e_ard_3-2-0_107076_2021-08-14_final
2021-08-21 08:32:42	ga_ls7e_ard_3-2-0_092085_2021-08-20_final
2021-08-26 10:24:54	ga_ls7e_ard_3-2-0_111073_2021-08-26_final
2021-08-29 09:15:52	ga_ls7e_ard_3-2-0_100071_2021-08-28_final
2021-08-31 10:40:37	ga_ls7e_ard_3-2-0_114067_2021-08-31_final
2021-10-06 10:13:55	ga_ls7e_ard_3-2-0_110070_2021-10-06_final
2021-10-07 09:23:24	ga_ls7e_ard_3-2-0_101083_2021-10-06_final
2021-10-08 08:28:29	ga_ls7e_ard_3-2-0_092085_2021-10-07_final
2021-10-25 09:03:26	ga_ls7e_ard_3-2-0_099068_2021-10-24_final
2021-10-26 09:49:48	ga_ls7e_ard_3-2-0_106076_2021-10-26_final
2021-11-03 09:00:01	ga_ls7e_ard_3-2-0_098077_2021-11-02_final
2021-11-03 09:03:12	ga_ls7e_ard_3-2-0_098085_2021-11-02_final
2021-11-23 10:14:13	ga_ls7e_ard_3-2-1_110082_2021-11-23_final
2021-11-29 09:31:00	ga_ls7e_ard_3-2-1_104068_2021-11-29_final
2021-12-02 10:04:49	ga_ls7e_ard_3-2-1_109076_2021-12-02_final
2022-01-18 09:16:36	ga_ls7e_ard_3-2-1_102075_2022-01-17_final
2022-02-09 10:15:49	ga_ls7e_ard_3-2-1_112074_2022-02-09_final
2022-02-12 09:06:20	ga_ls7e_ard_3-2-1_101071_2022-02-11_final
2022-03-09 09:02:06	ga_ls7e_ard_3-2-1_100082_2022-03-08_final
2022-03-11 08:45:09	ga_ls7e_ard_3-2-1_098071_2022-03-10_final
2022-03-20 08:37:40	ga_ls7e_ard_3-2-1_097070_2022-03-19_final
2022-03-23 09:07:30	ga_ls7e_ard_3-2-1_102068_2022-03-22_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