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
2000-09-17 09:42:56	ga_ls7e_ard_3-0-0_095087_2000-09-17_final
2000-12-06 09:42:41	ga_ls7e_ard_3-0-0_095087_2000-12-06_final
2001-01-28 11:37:08	ga_ls7e_ard_3-0-0_114079_2001-01-28_final
2002-01-24 11:31:18	ga_ls7e_ard_3-0-0_113084_2002-01-24_final
2002-06-01 11:24:16	ga_ls7e_ard_3-0-0_113067_2002-06-01_final
2002-11-10 09:40:16	ga_ls7e_ard_3-0-0_095087_2002-11-10_final
2002-12-12 09:39:02	ga_ls7e_ard_3-0-0_095083_2002-12-12_final
2003-04-01 11:27:10	ga_ls7e_ard_3-0-0_113074_2003-04-01_final
2003-08-30 11:34:11	ga_ls7e_ard_3-0-0_114077_2003-08-30_final
2004-06-08 09:35:29	ga_ls7e_ard_3-0-0_095072_2004-06-08_final
2004-12-13 11:41:59	ga_ls7e_ard_3-0-0_115079_2004-12-13_final
2005-02-19 09:39:37	ga_ls7e_ard_3-0-0_095081_2005-02-19_final
2005-04-08 09:39:37	ga_ls7e_ard_3-0-0_095081_2005-04-08_final
2005-05-06 11:42:24	ga_ls7e_ard_3-0-0_115079_2005-05-06_final
2005-12-20 09:40:01	ga_ls7e_ard_3-0-0_095082_2005-12-20_final
2007-11-08 09:40:27	ga_ls7e_ard_3-0-0_095082_2007-11-08_final
2008-05-18 09:36:23	ga_ls7e_ard_3-0-0_095072_2008-05-18_final
2008-06-19 09:36:30	ga_ls7e_ard_3-1-0_095073_2008-06-19_final
2008-07-21 09:40:07	ga_ls7e_ard_3-0-0_095083_2008-07-21_final
2008-08-06 09:33:38	ga_ls7e_ard_3-0-0_095067_2008-08-06_final
2008-08-06 09:35:37	ga_ls7e_ard_3-0-0_095072_2008-08-06_final
2008-09-23 09:39:13	ga_ls7e_ard_3-0-0_095082_2008-09-23_final
2008-09-28 11:35:00	ga_ls7e_ard_3-0-0_114078_2008-09-28_final
2009-01-12 08:56:25	ga_ls7e_ard_3-0-0_088081_2009-01-11_final
2010-02-13 11:44:17	ga_ls7e_ard_3-0-0_115078_2010-02-13_final
2010-03-03 11:34:29	ga_ls7e_ard_3-0-0_113084_2010-03-03_final
2010-10-15 09:39:11	ga_ls7e_ard_3-1-0_095073_2010-10-15_final
2011-07-14 09:41:31	ga_ls7e_ard_3-0-0_095076_2011-07-14_final
2011-10-07 11:38:38	ga_ls7e_ard_3-0-0_114076_2011-10-07_final
2012-01-11 11:39:51	ga_ls7e_ard_3-0-0_114077_2012-01-11_final
2012-09-17 09:02:11	ga_ls7e_ard_3-0-0_088081_2012-09-16_final
2013-01-13 11:41:34	ga_ls7e_ard_3-0-0_114076_2013-01-13_final
2013-04-14 09:46:48	ga_ls7e_ard_3-0-0_095083_2013-04-14_final
2013-08-20 09:39:45	ga_ls7e_ard_3-0-0_095067_2013-08-20_final
2013-12-10 09:47:09	ga_ls7e_ard_3-0-0_095083_2013-12-10_final
2014-02-17 11:42:57	ga_ls7e_ard_3-0-0_114078_2014-02-17_final
2014-09-22 11:33:23	ga_ls7e_ard_3-0-0_113067_2014-09-22_final
2014-12-18 11:43:56	ga_ls7e_ard_3-0-0_114076_2014-12-18_final
2015-05-02 11:51:43	ga_ls7e_ard_3-0-0_115078_2015-05-02_final
2015-06-23 09:50:00	ga_ls7e_ard_3-0-0_095082_2015-06-23_final
2016-01-01 09:49:00	ga_ls7e_ard_3-0-0_095075_2016-01-01_final
2016-06-25 09:49:22	ga_ls7e_ard_3-1-0_095073_2016-06-25_final
2016-08-12 09:49:25	ga_ls7e_ard_3-1-0_095073_2016-08-12_final
2016-12-02 09:54:54	ga_ls7e_ard_3-0-0_095087_2016-12-02_final
2017-03-24 09:54:12	ga_ls7e_ard_3-0-0_095086_2017-03-24_final
2017-06-26 11:38:18	ga_ls7e_ard_3-0-0_113067_2017-06-26_final
2017-06-28 09:53:50	ga_ls7e_ard_3-0-0_095084_2017-06-28_final
2017-07-12 11:44:18	ga_ls7e_ard_3-0-0_113082_2017-07-12_final
2017-08-06 11:38:29	ga_ls7e_ard_3-0-0_112083_2017-08-06_final
2018-03-27 09:51:50	ga_ls7e_ard_3-0-0_095083_2018-03-27_final
2018-08-09 11:34:33	ga_ls7e_ard_3-0-0_112083_2018-08-09_final
2018-09-08 11:44:18	ga_ls7e_ard_3-0-0_114078_2018-09-08_final
2019-04-15 09:44:16	ga_ls7e_ard_3-0-0_095087_2019-04-15_final
2020-04-15 11:16:33	ga_ls7e_ard_3-1-0_113081_2020-04-15_final
2020-04-29 11:26:06	ga_ls7e_ard_3-1-0_115076_2020-04-29_final
2020-10-31 11:08:21	ga_ls7e_ard_3-1-0_114076_2020-10-31_final
2021-02-13 10:57:25	ga_ls7e_ard_3-2-0_113083_2021-02-13_final
2021-02-17 08:49:56	ga_ls7e_ard_3-2-0_093074_2021-02-16_final
2021-02-18 09:34:42	ga_ls7e_ard_3-2-0_100078_2021-02-18_final
2021-02-26 10:24:44	ga_ls7e_ard_3-2-0_108081_2021-02-26_final
2021-03-08 10:59:50	ga_ls7e_ard_3-2-0_114078_2021-03-08_final
2021-03-14 08:42:13	ga_ls7e_ard_3-2-0_092075_2021-03-13_final
2021-03-15 11:04:40	ga_ls7e_ard_3-2-0_115076_2021-03-15_final
2021-03-19 09:00:45	ga_ls7e_ard_3-2-0_095076_2021-03-18_final
2021-04-01 08:32:23	ga_ls7e_ard_3-2-0_090085_2021-03-31_final
2021-04-10 09:57:57	ga_ls7e_ard_3-2-0_105069_2021-04-10_final
2021-05-03 10:03:24	ga_ls7e_ard_3-2-0_106072_2021-05-03_final
2021-05-05 09:53:16	ga_ls7e_ard_3-2-0_104078_2021-05-05_final
2021-05-28 08:18:13	ga_ls7e_ard_3-2-0_089077_2021-05-27_final
2021-05-28 09:57:53	ga_ls7e_ard_3-2-0_105079_2021-05-28_final
2021-06-16 08:50:21	ga_ls7e_ard_3-2-0_094084_2021-06-15_final
2021-07-25 10:25:19	ga_ls7e_ard_3-2-0_111067_2021-07-25_final
2021-09-06 10:04:37	ga_ls7e_ard_3-2-0_108071_2021-09-06_final
2021-09-08 09:55:40	ga_ls7e_ard_3-2-0_106080_2021-09-08_final
2021-10-06 10:13:55	ga_ls7e_ard_3-2-0_110070_2021-10-06_final
2021-10-14 09:23:22	ga_ls7e_ard_3-2-0_102069_2021-10-13_final
2021-10-14 09:28:33	ga_ls7e_ard_3-2-0_102082_2021-10-13_final
2021-10-15 08:29:39	ga_ls7e_ard_3-2-0_093074_2021-10-14_final
2021-10-20 08:46:09	ga_ls7e_ard_3-2-0_096070_2021-10-19_final
2021-11-05 10:28:20	ga_ls7e_ard_3-2-0_112082_2021-11-05_final
2021-11-07 08:35:19	ga_ls7e_ard_3-2-0_094078_2021-11-06_final
2021-11-15 09:19:59	ga_ls7e_ard_3-2-1_102068_2021-11-14_final
2021-11-20 09:39:38	ga_ls7e_ard_3-2-1_105072_2021-11-20_final
2021-12-09 08:30:39	ga_ls7e_ard_3-2-1_094074_2021-12-08_final
2021-12-11 08:22:30	ga_ls7e_ard_3-2-1_092085_2021-12-10_final
2021-12-12 09:00:28	ga_ls7e_ard_3-2-1_099072_2021-12-11_final
2021-12-12 10:41:44	ga_ls7e_ard_3-2-1_115078_2021-12-12_final
2021-12-20 08:12:15	ga_ls7e_ard_3-2-1_091077_2021-12-19_final
2022-01-04 09:08:45	ga_ls7e_ard_3-2-1_100083_2022-01-03_final
2022-01-12 08:19:22	ga_ls7e_ard_3-2-1_092085_2022-01-11_final
2022-01-13 10:39:25	ga_ls7e_ard_3-2-1_115080_2022-01-13_final
2022-01-14 09:41:18	ga_ls7e_ard_3-2-1_106074_2022-01-14_final
2022-01-19 09:58:58	ga_ls7e_ard_3-2-1_109073_2022-01-19_final
2022-01-21 08:10:20	ga_ls7e_ard_3-2-1_091080_2022-01-20_final
2022-02-08 07:55:23	ga_ls7e_ard_3-2-1_089078_2022-02-07_final
2022-02-22 09:42:26	ga_ls7e_ard_3-2-1_107071_2022-02-22_final
2022-02-27 10:02:05	ga_ls7e_ard_3-2-1_110075_2022-02-27_final
2022-03-18 10:33:05	ga_ls7e_ard_3-2-1_115080_2022-03-18_final
2022-03-22 10:05:36	ga_ls7e_ard_3-2-1_111074_2022-03-22_final
2022-03-31 10:01:46	ga_ls7e_ard_3-2-1_110082_2022-03-31_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