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
1999-07-17 09:20:04	ga_ls7e_ard_3-1-0_091086_1999-07-16_final
2000-01-14 09:31:03	ga_ls7e_ard_3-1-0_094067_2000-01-14_final
2000-01-17 11:44:48	ga_ls7e_ard_3-1-0_115077_2000-01-17_final
2000-04-03 09:30:43	ga_ls7e_ard_3-1-0_094067_2000-04-03_final
2000-12-31 09:28:39	ga_ls7e_ard_3-1-0_094067_2000-12-30_final
2001-06-12 11:41:37	ga_ls7e_ard_3-1-0_115077_2001-06-12_final
2001-10-31 09:26:30	ga_ls7e_ard_3-1-0_094067_2001-10-30_final
2002-01-23 10:44:27	ga_ls7e_ard_3-1-0_106075_2002-01-23_final
2002-09-19 11:39:46	ga_ls7e_ard_3-1-0_115077_2002-09-19_final
2003-01-22 09:26:43	ga_ls7e_ard_3-1-0_094067_2003-01-21_final
2003-08-16 09:46:35	ga_ls7e_ard_3-1-0_096086_2003-08-16_final
2003-09-30 09:15:27	ga_ls7e_ard_3-1-0_091086_2003-09-29_final
2004-01-29 09:09:45	ga_ls7e_ard_3-1-0_090085_2004-01-28_final
2004-02-26 09:27:20	ga_ls7e_ard_3-1-0_094067_2004-02-25_final
2004-08-15 09:16:04	ga_ls7e_ard_3-1-0_091086_2004-08-14_final
2004-09-21 11:07:43	ga_ls7e_ard_3-1-0_110072_2004-09-21_final
2004-09-23 09:20:52	ga_ls7e_ard_3-1-0_092083_2004-09-22_final
2004-10-27 09:09:29	ga_ls7e_ard_3-1-0_090085_2004-10-26_final
2005-02-12 09:27:48	ga_ls7e_ard_3-1-0_094067_2005-02-11_final
2005-04-03 10:57:35	ga_ls7e_ard_3-1-0_108075_2005-04-03_final
2005-05-12 11:06:08	ga_ls7e_ard_3-1-0_109081_2005-05-12_final
2005-07-10 09:10:07	ga_ls7e_ard_3-1-0_090085_2005-07-09_final
2005-09-21 10:36:05	ga_ls7e_ard_3-1-0_105069_2005-09-21_final
2006-02-10 10:52:12	ga_ls7e_ard_3-1-0_107076_2006-02-10_final
2006-02-13 09:48:13	ga_ls7e_ard_3-1-0_096086_2006-02-13_final
2006-09-18 09:36:19	ga_ls7e_ard_3-1-0_095073_2006-09-18_final
2006-10-11 09:47:34	ga_ls7e_ard_3-1-0_096086_2006-10-11_final
2007-05-13 09:09:05	ga_ls7e_ard_3-1-0_090080_2007-05-12_final
2007-09-25 09:17:02	ga_ls7e_ard_3-1-0_091086_2007-09-24_final
2008-03-01 09:22:39	ga_ls7e_ard_3-1-0_093068_2008-02-29_final
2008-05-24 09:02:51	ga_ls7e_ard_3-1-0_089081_2008-05-23_final
2008-07-02 09:11:27	ga_ls7e_ard_3-1-0_090088_2008-07-01_final
2008-11-26 11:18:34	ga_ls7e_ard_3-1-0_111082_2008-11-26_final
2010-03-30 09:30:25	ga_ls7e_ard_3-1-0_094067_2010-03-30_final
2011-01-09 09:09:21	ga_ls7e_ard_3-1-0_089089_2011-01-08_final
2011-06-23 11:01:30	ga_ls7e_ard_3-1-0_108075_2011-06-23_final
2012-02-07 09:40:54	ga_ls7e_ard_3-1-0_095073_2012-02-07_final
2012-07-09 09:32:56	ga_ls7e_ard_3-1-0_094067_2012-07-09_final
2013-01-05 10:51:45	ga_ls7e_ard_3-1-0_106075_2013-01-05_final
2013-04-16 09:36:01	ga_ls7e_ard_3-1-0_093087_2013-04-16_final
2013-07-16 09:16:04	ga_ls7e_ard_3-1-0_090085_2013-07-15_final
2014-01-04 11:15:33	ga_ls7e_ard_3-1-0_110072_2014-01-04_final
2014-07-02 11:49:31	ga_ls7e_ard_3-1-0_115077_2014-07-02_final
2014-09-20 10:14:02	ga_ls7e_ard_3-1-0_099085_2014-09-20_final
2015-05-19 10:55:02	ga_ls7e_ard_3-1-0_106075_2015-05-19_final
2015-06-19 11:51:37	ga_ls7e_ard_3-1-0_115077_2015-06-19_final
2016-07-04 11:21:40	ga_ls7e_ard_3-1-0_110072_2016-07-04_final
2017-03-01 11:21:11	ga_ls7e_ard_3-1-0_110072_2017-03-01_final
2017-03-21 10:57:47	ga_ls7e_ard_3-1-0_106075_2017-03-21_final
2018-03-20 11:20:15	ga_ls7e_ard_3-1-0_110072_2018-03-20_final
2018-07-21 09:26:18	ga_ls7e_ard_3-1-0_091086_2018-07-20_final
2018-10-21 11:26:21	ga_ls7e_ard_3-1-0_111082_2018-10-21_final
2018-12-02 10:21:58	ga_ls7e_ard_3-1-0_101078_2018-12-02_final
2019-02-26 09:42:42	ga_ls7e_ard_3-1-0_095079_2019-02-26_final
2019-07-24 09:15:24	ga_ls7e_ard_3-1-0_091086_2019-07-23_final
2019-08-27 10:33:19	ga_ls7e_ard_3-1-0_105068_2019-08-27_final
2019-09-01 09:19:33	ga_ls7e_ard_3-1-0_092085_2019-08-31_final
2019-09-08 11:00:19	ga_ls7e_ard_3-1-0_109075_2019-09-08_final
2019-09-14 10:24:10	ga_ls7e_ard_3-1-0_103078_2019-09-14_final
2019-09-28 08:58:14	ga_ls7e_ard_3-1-0_089081_2019-09-27_final
2019-10-04 09:54:36	ga_ls7e_ard_3-1-0_099068_2019-10-04_final
2019-10-08 09:36:06	ga_ls7e_ard_3-1-0_095084_2019-10-08_final
2019-10-17 11:04:26	ga_ls7e_ard_3-1-0_110074_2019-10-17_final
2019-10-19 10:50:23	ga_ls7e_ard_3-1-0_108070_2019-10-19_final
2019-10-20 09:55:08	ga_ls7e_ard_3-1-0_099071_2019-10-20_final
2019-10-20 09:55:31	ga_ls7e_ard_3-1-0_099072_2019-10-20_final
2019-10-25 10:14:15	ga_ls7e_ard_3-1-0_102073_2019-10-25_final
2019-10-30 08:56:53	ga_ls7e_ard_3-1-0_089081_2019-10-29_final
2019-10-31 09:41:18	ga_ls7e_ard_3-1-0_096084_2019-10-31_final
2019-11-04 09:16:24	ga_ls7e_ard_3-1-0_092084_2019-11-03_final
2019-11-05 11:34:54	ga_ls7e_ard_3-1-0_115075_2019-11-05_final
2019-11-10 10:11:32	ga_ls7e_ard_3-1-0_102068_2019-11-10_final
2019-11-13 09:10:12	ga_ls7e_ard_3-1-0_091085_2019-11-12_final
2019-11-17 10:18:35	ga_ls7e_ard_3-1-0_103071_2019-11-17_final
2019-11-27 09:21:54	ga_ls7e_ard_3-1-0_093085_2019-11-26_final
2019-11-29 09:05:51	ga_ls7e_ard_3-1-0_091076_2019-11-28_final
2019-11-30 11:29:56	ga_ls7e_ard_3-1-0_114081_2019-11-30_final
2019-12-09 09:40:03	ga_ls7e_ard_3-1-0_097070_2019-12-09_final
2019-12-15 09:05:03	ga_ls7e_ard_3-1-0_091076_2019-12-14_final
2019-12-24 09:00:49	ga_ls7e_ard_3-1-0_090082_2019-12-23_final
2019-12-25 11:20:06	ga_ls7e_ard_3-1-0_113075_2019-12-25_final
2020-01-19 09:32:35	ga_ls7e_ard_3-1-0_096072_2020-01-19_final
2020-01-20 10:14:36	ga_ls7e_ard_3-1-0_103069_2020-01-20_final
2020-02-01 10:44:42	ga_ls7e_ard_3-1-0_107084_2020-02-01_final
2020-02-02 11:25:07	ga_ls7e_ard_3-1-0_114077_2020-02-02_final
2020-02-17 10:38:41	ga_ls7e_ard_3-1-0_107071_2020-02-17_final
2020-02-27 09:39:33	ga_ls7e_ard_3-1-0_097079_2020-02-27_final
2020-03-14 09:34:42	ga_ls7e_ard_3-1-0_097069_2020-03-14_final
2020-03-19 09:58:57	ga_ls7e_ard_3-1-0_100084_2020-03-19_final
2020-03-30 09:37:24	ga_ls7e_ard_3-1-0_097078_2020-03-30_final
2020-04-02 10:05:20	ga_ls7e_ard_3-1-0_102071_2020-04-02_final
2020-04-03 10:48:08	ga_ls7e_ard_3-1-0_109070_2020-04-03_final
2020-04-12 09:08:33	ga_ls7e_ard_3-1-0_092085_2020-04-11_final
2020-04-14 08:57:40	ga_ls7e_ard_3-1-0_090089_2020-04-13_final
2020-04-22 09:38:15	ga_ls7e_ard_3-1-0_098068_2020-04-22_final
2020-04-26 09:15:18	ga_ls7e_ard_3-1-0_094073_2020-04-25_final
2021-02-26 10:22:20	ga_ls7e_ard_3-2-0_108075_2021-02-26_final
2021-03-27 09:51:32	ga_ls7e_ard_3-2-0_103081_2021-03-27_final
2021-03-31 09:22:54	ga_ls7e_ard_3-2-0_099072_2021-03-30_final
2022-03-22 08:26:19	ga_ls7e_ard_3-2-1_095073_2022-03-21_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