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
1999-07-09 11:44:47	ga_ls7e_ard_3-0-0_115077_1999-07-09_final
1999-12-04 09:40:02	ga_ls7e_ard_3-0-0_095074_1999-12-04_final
2000-03-30 11:39:09	ga_ls7e_ard_3-0-0_114079_2000-03-30_final
2000-12-06 09:42:17	ga_ls7e_ard_3-0-0_095086_2000-12-06_final
2001-03-12 09:37:31	ga_ls7e_ard_3-0-0_095074_2001-03-12_final
2001-04-25 11:42:04	ga_ls7e_ard_3-0-0_115077_2001-04-25_final
2001-05-20 11:36:52	ga_ls7e_ard_3-0-0_114080_2001-05-20_final
2002-05-02 09:38:50	ga_ls7e_ard_3-0-0_095081_2002-05-02_final
2002-06-19 09:35:42	ga_ls7e_ard_3-0-0_095074_2002-06-19_final
2002-10-25 09:38:59	ga_ls7e_ard_3-0-0_095084_2002-10-25_final
2002-11-26 09:37:47	ga_ls7e_ard_3-0-0_095080_2002-11-26_final
2003-01-13 09:38:00	ga_ls7e_ard_3-0-0_095080_2003-01-13_final
2003-12-04 11:35:18	ga_ls7e_ard_3-0-0_114079_2003-12-04_final
2006-08-06 11:35:54	ga_ls7e_ard_3-0-0_114078_2006-08-06_final
2006-09-30 11:41:02	ga_ls7e_ard_3-0-0_115076_2006-09-30_final
2007-11-08 09:38:51	ga_ls7e_ard_3-0-0_095078_2007-11-08_final
2008-03-15 09:37:44	ga_ls7e_ard_3-0-0_095075_2008-03-15_final
2008-03-15 09:40:08	ga_ls7e_ard_3-0-0_095081_2008-03-15_final
2009-04-19 09:41:09	ga_ls7e_ard_3-0-0_095083_2009-04-19_final
2009-06-02 11:42:27	ga_ls7e_ard_3-1-0_115077_2009-06-02_final
2010-02-22 11:39:00	ga_ls7e_ard_3-0-0_114080_2010-02-22_final
2010-03-21 09:42:57	ga_ls7e_ard_3-0-0_095083_2010-03-21_final
2010-08-28 09:43:27	ga_ls7e_ard_3-0-0_095084_2010-08-28_final
2011-04-14 11:41:02	ga_ls7e_ard_3-0-0_114081_2011-04-14_final
2011-07-03 11:39:45	ga_ls7e_ard_3-0-0_114078_2011-07-03_final
2011-08-15 09:40:36	ga_ls7e_ard_3-0-0_095074_2011-08-15_final
2012-04-11 09:43:38	ga_ls7e_ard_3-0-0_095080_2012-04-11_final
2012-12-23 09:45:44	ga_ls7e_ard_3-0-0_095080_2012-12-23_final
2014-07-11 11:43:45	ga_ls7e_ard_3-0-0_114078_2014-07-11_final
2014-10-10 09:45:33	ga_ls7e_ard_3-0-0_095075_2014-10-10_final
2015-03-03 09:50:28	ga_ls7e_ard_3-0-0_095085_2015-03-03_final
2015-03-24 11:46:28	ga_ls7e_ard_3-0-0_114081_2015-03-24_final
2015-05-06 09:49:44	ga_ls7e_ard_3-0-0_095082_2015-05-06_final
2015-06-23 09:50:24	ga_ls7e_ard_3-0-0_095083_2015-06-23_final
2015-12-21 11:48:17	ga_ls7e_ard_3-0-0_114080_2015-12-21_final
2016-02-18 09:49:05	ga_ls7e_ard_3-0-0_095074_2016-02-18_final
2016-03-21 09:50:55	ga_ls7e_ard_3-0-0_095078_2016-03-21_final
2017-09-28 11:54:36	ga_ls7e_ard_3-1-0_115077_2017-09-28_final
2018-04-12 09:51:59	ga_ls7e_ard_3-0-0_095084_2018-04-12_final
2018-05-19 11:47:11	ga_ls7e_ard_3-0-0_114080_2018-05-19_final
2018-06-11 11:51:47	ga_ls7e_ard_3-1-0_115077_2018-06-11_final
2018-07-17 09:45:54	ga_ls7e_ard_3-1-0_095073_2018-07-17_final
2018-10-05 09:48:15	ga_ls7e_ard_3-0-0_095083_2018-10-05_final
2018-12-24 09:43:04	ga_ls7e_ard_3-0-0_095075_2018-12-24_final
2019-02-26 09:45:05	ga_ls7e_ard_3-1-0_095085_2019-02-26_final
2019-08-10 11:34:27	ga_ls7e_ard_3-0-0_114080_2019-08-10_final
2019-08-21 09:33:46	ga_ls7e_ard_3-1-0_095073_2019-08-21_final
2019-08-26 11:33:46	ga_ls7e_ard_3-1-0_114080_2019-08-26_final
2019-09-27 11:32:22	ga_ls7e_ard_3-1-0_114080_2019-09-27_final
2021-03-01 09:17:19	ga_ls7e_ard_3-2-0_097083_2021-02-28_final
2021-03-16 10:09:46	ga_ls7e_ard_3-2-0_106078_2021-03-16_final
2021-03-24 10:59:22	ga_ls7e_ard_3-2-0_114080_2021-03-24_final
2021-03-27 09:50:20	ga_ls7e_ard_3-2-0_103078_2021-03-27_final
2021-04-04 10:38:19	ga_ls7e_ard_3-2-0_111076_2021-04-04_final
2021-04-25 09:15:25	ga_ls7e_ard_3-2-0_098074_2021-04-24_final
2021-04-26 08:23:19	ga_ls7e_ard_3-2-0_089083_2021-04-25_final
2021-05-13 10:37:39	ga_ls7e_ard_3-2-0_112067_2021-05-13_final
2021-05-17 08:38:30	ga_ls7e_ard_3-2-0_092079_2021-05-16_final
2021-05-17 08:39:18	ga_ls7e_ard_3-2-0_092081_2021-05-16_final
2021-05-27 10:53:36	ga_ls7e_ard_3-2-0_114079_2021-05-27_final
2021-06-06 09:47:22	ga_ls7e_ard_3-2-0_104070_2021-06-06_final
2021-06-07 10:35:20	ga_ls7e_ard_3-2-0_111082_2021-06-07_final
2021-06-09 10:22:25	ga_ls7e_ard_3-2-0_109081_2021-06-09_final
2021-06-10 09:24:43	ga_ls7e_ard_3-2-0_100076_2021-06-09_final
2021-06-15 09:40:27	ga_ls7e_ard_3-2-0_103070_2021-06-15_final
2021-06-18 08:38:13	ga_ls7e_ard_3-2-0_092085_2021-06-17_final
2021-06-18 10:15:06	ga_ls7e_ard_3-2-0_108080_2021-06-18_final
2021-06-23 10:28:27	ga_ls7e_ard_3-2-0_111068_2021-06-23_final
2021-06-27 10:08:11	ga_ls7e_ard_3-2-0_107080_2021-06-27_final
2021-07-17 09:39:46	ga_ls7e_ard_3-2-0_103075_2021-07-17_final
2021-07-29 10:02:39	ga_ls7e_ard_3-2-0_107073_2021-07-29_final
2021-08-01 08:53:12	ga_ls7e_ard_3-2-0_096070_2021-07-31_final
2021-09-14 09:18:04	ga_ls7e_ard_3-2-0_100080_2021-09-13_final
2021-09-15 08:23:09	ga_ls7e_ard_3-2-0_091082_2021-09-14_final
2021-09-17 09:47:30	ga_ls7e_ard_3-2-0_105077_2021-09-17_final
2021-09-22 10:06:23	ga_ls7e_ard_3-2-0_108079_2021-09-22_final
2021-09-27 08:44:00	ga_ls7e_ard_3-2-0_095075_2021-09-26_final
2021-10-07 09:19:24	ga_ls7e_ard_3-2-0_101073_2021-10-06_final
2021-10-08 10:05:22	ga_ls7e_ard_3-2-0_108080_2021-10-08_final
2021-10-17 08:18:43	ga_ls7e_ard_3-2-0_091078_2021-10-16_final
2021-11-03 10:37:42	ga_ls7e_ard_3-2-0_114074_2021-11-03_final
2021-12-07 08:42:00	ga_ls7e_ard_3-2-1_096071_2021-12-06_final
2021-12-07 08:43:12	ga_ls7e_ard_3-2-1_096074_2021-12-06_final
2021-12-07 08:44:24	ga_ls7e_ard_3-2-1_096077_2021-12-06_final
2021-12-10 09:13:25	ga_ls7e_ard_3-2-1_101073_2021-12-09_final
2021-12-11 10:00:10	ga_ls7e_ard_3-2-1_108082_2021-12-11_final
2021-12-20 08:13:51	ga_ls7e_ard_3-2-1_091081_2021-12-19_final
2021-12-21 08:53:49	ga_ls7e_ard_3-2-1_098073_2021-12-20_final
2021-12-23 08:43:39	ga_ls7e_ard_3-2-1_096079_2021-12-22_final
2021-12-29 09:45:15	ga_ls7e_ard_3-2-1_106080_2021-12-29_final
2022-01-07 09:34:59	ga_ls7e_ard_3-2-1_105072_2022-01-07_final
2022-01-10 08:28:43	ga_ls7e_ard_3-2-1_094077_2022-01-09_final
2022-01-17 10:14:43	ga_ls7e_ard_3-2-1_111081_2022-01-17_final
2022-01-25 09:24:06	ga_ls7e_ard_3-2-1_103080_2022-01-24_final
2022-02-09 08:36:56	ga_ls7e_ard_3-2-1_096074_2022-02-08_final
2022-02-27 08:23:36	ga_ls7e_ard_3-2-1_094076_2022-02-26_final
2022-03-08 08:16:33	ga_ls7e_ard_3-2-1_093076_2022-03-07_final
2022-03-19 07:59:17	ga_ls7e_ard_3-2-1_090082_2022-03-18_final
2022-03-27 08:47:11	ga_ls7e_ard_3-2-1_098080_2022-03-26_final
2022-03-31 08:21:41	ga_ls7e_ard_3-2-1_094079_2022-03-30_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