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
2000-01-10 11:37:52	ga_ls7e_ard_3-0-0_114075_2000-01-10_final
2000-05-28 09:43:33	ga_ls7e_ard_3-0-0_095085_2000-05-28_final
2001-08-19 09:35:13	ga_ls7e_ard_3-0-0_095072_2001-08-19_final
2002-01-10 09:40:45	ga_ls7e_ard_3-0-0_095086_2002-01-10_final
2002-09-03 11:40:00	ga_ls7e_ard_3-1-0_115077_2002-09-03_final
2003-12-11 11:40:45	ga_ls7e_ard_3-1-0_115077_2003-12-11_final
2004-05-07 09:37:59	ga_ls7e_ard_3-0-0_095078_2004-05-07_final
2004-05-28 11:34:59	ga_ls7e_ard_3-0-0_114077_2004-05-28_final
2004-07-15 11:34:48	ga_ls7e_ard_3-0-0_114077_2004-07-15_final
2004-08-27 09:39:57	ga_ls7e_ard_3-0-0_095084_2004-08-27_final
2004-10-14 09:40:10	ga_ls7e_ard_3-0-0_095085_2004-10-14_final
2004-11-04 11:33:55	ga_ls7e_ard_3-0-0_114075_2004-11-04_final
2005-03-23 09:41:41	ga_ls7e_ard_3-0-0_095086_2005-03-23_final
2005-05-26 09:40:23	ga_ls7e_ard_3-0-0_095083_2005-05-26_final
2005-08-10 11:41:22	ga_ls7e_ard_3-1-0_115077_2005-08-10_final
2005-10-13 11:41:05	ga_ls7e_ard_3-0-0_115077_2005-10-13_final
2005-11-18 09:39:30	ga_ls7e_ard_3-0-0_095081_2005-11-18_final
2005-12-16 11:42:25	ga_ls7e_ard_3-0-0_115079_2005-12-16_final
2006-02-22 09:40:52	ga_ls7e_ard_3-0-0_095083_2006-02-22_final
2006-04-23 11:40:49	ga_ls7e_ard_3-0-0_115074_2006-04-23_final
2006-06-14 09:40:00	ga_ls7e_ard_3-0-0_095081_2006-06-14_final
2006-11-26 11:35:52	ga_ls7e_ard_3-0-0_114077_2006-11-26_final
2007-02-09 09:40:23	ga_ls7e_ard_3-0-0_095081_2007-02-09_final
2007-03-29 09:38:08	ga_ls7e_ard_3-0-0_095075_2007-03-29_final
2007-06-06 11:36:05	ga_ls7e_ard_3-0-0_114077_2007-06-06_final
2007-11-20 11:41:46	ga_ls7e_ard_3-0-0_115076_2007-11-20_final
2008-01-11 09:42:21	ga_ls7e_ard_3-0-0_095086_2008-01-11_final
2008-02-17 11:36:53	ga_ls7e_ard_3-0-0_114079_2008-02-17_final
2008-03-31 09:40:32	ga_ls7e_ard_3-0-0_095082_2008-03-31_final
2008-05-18 09:34:23	ga_ls7e_ard_3-0-0_095067_2008-05-18_final
2011-04-09 09:44:49	ga_ls7e_ard_3-0-0_095084_2011-04-09_final
2011-08-11 11:44:13	ga_ls7e_ard_3-0-0_115074_2011-08-11_final
2011-11-19 09:44:01	ga_ls7e_ard_3-0-0_095082_2011-11-19_final
2012-03-15 11:39:08	ga_ls7e_ard_3-0-0_114075_2012-03-15_final
2013-01-08 09:46:57	ga_ls7e_ard_3-0-0_095083_2013-01-08_final
2013-03-13 09:43:20	ga_ls7e_ard_3-0-0_095074_2013-03-13_final
2013-03-18 11:43:08	ga_ls7e_ard_3-0-0_114080_2013-03-18_final
2013-08-25 11:40:25	ga_ls7e_ard_3-0-0_114075_2013-08-25_final
2013-10-19 11:48:02	ga_ls7e_ard_3-0-0_115077_2013-10-19_final
2013-11-29 11:42:07	ga_ls7e_ard_3-0-0_114077_2013-11-29_final
2014-12-09 11:50:24	ga_ls7e_ard_3-1-0_115077_2014-12-09_final
2014-12-13 09:50:26	ga_ls7e_ard_3-0-0_095086_2014-12-13_final
2015-01-30 09:43:04	ga_ls7e_ard_3-0-0_095067_2015-01-30_final
2015-01-30 09:49:03	ga_ls7e_ard_3-0-0_095082_2015-01-30_final
2015-09-27 09:52:22	ga_ls7e_ard_3-0-0_095087_2015-09-27_final
2015-11-03 11:45:06	ga_ls7e_ard_3-0-0_114074_2015-11-03_final
2017-02-04 09:53:35	ga_ls7e_ard_3-0-0_095085_2017-02-04_final
2018-02-03 11:53:40	ga_ls7e_ard_3-1-0_115077_2018-02-03_final
2018-02-12 11:47:46	ga_ls7e_ard_3-0-0_114078_2018-02-12_final
2018-05-10 11:51:06	ga_ls7e_ard_3-0-0_115074_2018-05-10_final
2018-06-15 09:46:31	ga_ls7e_ard_3-1-0_095073_2018-06-15_final
2018-07-13 11:50:22	ga_ls7e_ard_3-0-0_115075_2018-07-13_final
2018-09-15 11:49:56	ga_ls7e_ard_3-0-0_115077_2018-09-15_final
2019-02-26 09:42:42	ga_ls7e_ard_3-1-0_095079_2019-02-26_final
2019-08-21 09:37:22	ga_ls7e_ard_3-0-0_095082_2019-08-21_final
2019-11-30 11:27:09	ga_ls7e_ard_3-1-0_114074_2019-11-30_final
2020-01-17 11:26:19	ga_ls7e_ard_3-1-0_114078_2020-01-17_final
2020-01-28 09:29:09	ga_ls7e_ard_3-1-0_095080_2020-01-27_final
2020-03-16 09:27:25	ga_ls7e_ard_3-1-0_095082_2020-03-15_final
2020-06-25 11:16:07	ga_ls7e_ard_3-1-0_114075_2020-06-25_final
2020-07-22 09:17:27	ga_ls7e_ard_3-1-0_095076_2020-07-21_final
2020-07-27 11:14:10	ga_ls7e_ard_3-1-0_114075_2020-07-27_final
2020-08-07 09:17:39	ga_ls7e_ard_3-1-0_095079_2020-08-06_final
2020-09-13 11:11:28	ga_ls7e_ard_3-1-0_114076_2020-09-13_final
2021-01-21 09:14:51	ga_ls7e_ard_3-2-0_096085_2021-01-20_final
2021-04-08 08:34:24	ga_ls7e_ard_3-2-0_091076_2021-04-07_final
2021-04-08 10:12:05	ga_ls7e_ard_3-2-0_107073_2021-04-08_final
2021-04-20 10:39:23	ga_ls7e_ard_3-2-0_111082_2021-04-20_final
2021-04-24 08:38:14	ga_ls7e_ard_3-2-0_091089_2021-04-23_final
2021-04-25 09:15:01	ga_ls7e_ard_3-2-0_098073_2021-04-24_final
2021-04-26 09:57:00	ga_ls7e_ard_3-2-0_105070_2021-04-26_final
2021-05-19 10:00:51	ga_ls7e_ard_3-2-0_106069_2021-05-19_final
2021-06-05 10:48:39	ga_ls7e_ard_3-2-0_113084_2021-06-05_final
2021-06-11 10:07:54	ga_ls7e_ard_3-2-0_107076_2021-06-11_final
2021-06-18 08:34:14	ga_ls7e_ard_3-2-0_092075_2021-06-17_final
2021-07-18 08:43:40	ga_ls7e_ard_3-2-0_094074_2021-07-17_final
2021-07-25 08:53:14	ga_ls7e_ard_3-2-0_095084_2021-07-24_final
2021-07-27 08:37:06	ga_ls7e_ard_3-2-0_093075_2021-07-26_final
2021-08-02 09:35:59	ga_ls7e_ard_3-2-0_103069_2021-08-02_final
2021-08-07 09:54:05	ga_ls7e_ard_3-2-0_106069_2021-08-07_final
2021-08-10 10:27:06	ga_ls7e_ard_3-2-0_111075_2021-08-10_final
2021-08-26 08:50:01	ga_ls7e_ard_3-2-0_095083_2021-08-25_final
2021-08-30 10:00:38	ga_ls7e_ard_3-2-0_107075_2021-08-30_final
2021-09-02 10:31:17	ga_ls7e_ard_3-2-0_112075_2021-09-02_final
2021-09-22 08:25:55	ga_ls7e_ard_3-2-0_092075_2021-09-21_final
2021-09-27 08:46:24	ga_ls7e_ard_3-2-0_095081_2021-09-26_final
2021-10-02 09:04:06	ga_ls7e_ard_3-2-0_098080_2021-10-01_final
2021-10-17 09:57:11	ga_ls7e_ard_3-2-0_107077_2021-10-17_final
2021-10-22 10:17:16	ga_ls7e_ard_3-2-0_110082_2021-10-22_final
2021-10-24 10:01:08	ga_ls7e_ard_3-2-0_108073_2021-10-24_final
2021-10-30 09:23:54	ga_ls7e_ard_3-2-0_102074_2021-10-29_final
2021-10-31 08:28:36	ga_ls7e_ard_3-2-0_093075_2021-10-30_final
2021-11-07 10:15:23	ga_ls7e_ard_3-2-0_110081_2021-11-07_final
2021-12-09 10:12:43	ga_ls7e_ard_3-2-1_110082_2021-12-09_final
2021-12-11 09:56:35	ga_ls7e_ard_3-2-1_108073_2021-12-11_final
2021-12-13 09:44:02	ga_ls7e_ard_3-2-1_106073_2021-12-13_final
2022-01-09 09:21:38	ga_ls7e_ard_3-2-1_103070_2022-01-08_final
2022-02-17 09:25:33	ga_ls7e_ard_3-2-1_104074_2022-02-16_final
2022-03-10 09:42:52	ga_ls7e_ard_3-2-1_107076_2022-03-10_final
2022-03-18 10:30:41	ga_ls7e_ard_3-2-1_115074_2022-03-18_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