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
1999-12-16 11:44:57	ga_ls7e_ard_3-1-0_115077_1999-12-16_final
2001-05-29 11:28:14	ga_ls7e_ard_3-0-0_113074_2001-05-29_final
2001-11-03 11:40:45	ga_ls7e_ard_3-0-0_115078_2001-11-03_final
2002-04-28 11:40:49	ga_ls7e_ard_3-0-0_115077_2002-04-28_final
2002-11-06 11:40:17	ga_ls7e_ard_3-0-0_115078_2002-11-06_final
2003-07-20 11:40:09	ga_ls7e_ard_3-0-0_115076_2003-07-20_final
2004-03-19 08:56:24	ga_ls7e_ard_3-0-0_088082_2004-03-18_final
2004-05-03 11:41:34	ga_ls7e_ard_3-0-0_115078_2004-05-03_final
2004-05-19 11:40:23	ga_ls7e_ard_3-0-0_115075_2004-05-19_final
2004-06-20 11:41:49	ga_ls7e_ard_3-1-0_115079_2004-06-20_final
2004-08-07 11:40:00	ga_ls7e_ard_3-0-0_115075_2004-08-07_final
2004-12-06 11:34:58	ga_ls7e_ard_3-0-0_114077_2004-12-06_final
2006-04-16 11:31:50	ga_ls7e_ard_3-0-0_114067_2006-04-16_final
2006-08-13 11:40:53	ga_ls7e_ard_3-0-0_115075_2006-08-13_final
2006-12-03 11:42:54	ga_ls7e_ard_3-0-0_115079_2006-12-03_final
2007-07-03 09:42:38	ga_ls7e_ard_3-0-0_095087_2007-07-03_final
2007-12-08 11:28:43	ga_ls7e_ard_3-0-0_113074_2007-12-08_final
2008-08-02 11:40:51	ga_ls7e_ard_3-0-0_115076_2008-08-02_final
2009-05-19 11:28:53	ga_ls7e_ard_3-0-0_113074_2009-05-19_final
2009-07-06 11:28:49	ga_ls7e_ard_3-0-0_113074_2009-07-06_final
2010-01-28 11:44:06	ga_ls7e_ard_3-0-0_115078_2010-01-28_final
2010-04-20 11:33:51	ga_ls7e_ard_3-0-0_113082_2010-04-20_final
2010-12-14 11:45:49	ga_ls7e_ard_3-0-0_115079_2010-12-14_final
2011-02-25 11:38:08	ga_ls7e_ard_3-0-0_114074_2011-02-25_final
2011-05-27 09:40:24	ga_ls7e_ard_3-1-0_095073_2011-05-27_final
2011-12-21 09:45:53	ga_ls7e_ard_3-0-0_095086_2011-12-21_final
2012-11-05 09:40:15	ga_ls7e_ard_3-0-0_095067_2012-11-05_final
2013-12-17 11:32:34	ga_ls7e_ard_3-1-0_112084_2013-12-17_final
2014-01-10 09:03:34	ga_ls7e_ard_3-0-0_088082_2014-01-09_final
2014-05-08 11:41:52	ga_ls7e_ard_3-0-0_114074_2014-05-08_final
2014-08-23 09:44:26	ga_ls7e_ard_3-1-0_095073_2014-08-23_final
2014-12-09 11:50:00	ga_ls7e_ard_3-0-0_115076_2014-12-09_final
2015-02-15 09:45:29	ga_ls7e_ard_3-1-0_095073_2015-02-15_final
2015-02-22 11:35:03	ga_ls7e_ard_3-0-0_112084_2015-02-22_final
2015-03-17 11:40:13	ga_ls7e_ard_3-0-0_113081_2015-03-17_final
2015-07-23 11:38:12	ga_ls7e_ard_3-0-0_113074_2015-07-23_final
2016-01-15 11:44:04	ga_ls7e_ard_3-0-0_113084_2016-01-15_final
2016-02-07 11:46:28	ga_ls7e_ard_3-0-0_114074_2016-02-07_final
2016-05-24 09:49:15	ga_ls7e_ard_3-1-0_095073_2016-05-24_final
2016-11-28 11:54:55	ga_ls7e_ard_3-0-0_115078_2016-11-28_final
2016-12-14 11:55:15	ga_ls7e_ard_3-0-0_115079_2016-12-14_final
2016-12-16 11:40:53	ga_ls7e_ard_3-0-0_113074_2016-12-16_final
2016-12-30 11:53:32	ga_ls7e_ard_3-0-0_115075_2016-12-30_final
2018-01-22 09:46:16	ga_ls7e_ard_3-0-0_095067_2018-01-22_final
2018-05-30 09:51:59	ga_ls7e_ard_3-0-0_095086_2018-05-30_final
2019-02-24 11:32:00	ga_ls7e_ard_3-1-0_113074_2019-02-24_final
2019-05-01 09:43:17	ga_ls7e_ard_3-0-0_095086_2019-05-01_final
2019-08-03 11:23:22	ga_ls7e_ard_3-0-0_113067_2019-08-03_final
2019-09-18 11:38:33	ga_ls7e_ard_3-1-0_115079_2019-09-18_final
2019-10-22 11:22:45	ga_ls7e_ard_3-1-0_113074_2019-10-22_final
2019-11-21 11:34:09	ga_ls7e_ard_3-1-0_115075_2019-11-21_final
2020-02-25 11:30:30	ga_ls7e_ard_3-1-0_115078_2020-02-25_final
2020-05-15 11:25:55	ga_ls7e_ard_3-1-0_115078_2020-05-15_final
2020-05-19 09:23:16	ga_ls7e_ard_3-1-0_095081_2020-05-18_final
2020-06-25 11:18:30	ga_ls7e_ard_3-1-0_114081_2020-06-25_final
2021-02-11 11:06:44	ga_ls7e_ard_3-2-0_115075_2021-02-11_final
2021-02-12 10:09:03	ga_ls7e_ard_3-2-0_106070_2021-02-12_final
2021-02-17 10:32:24	ga_ls7e_ard_3-2-0_109083_2021-02-17_final
2021-03-04 09:42:00	ga_ls7e_ard_3-2-0_102068_2021-03-04_final
2021-03-20 09:46:19	ga_ls7e_ard_3-2-0_102082_2021-03-20_final
2021-03-24 10:54:10	ga_ls7e_ard_3-2-0_114067_2021-03-24_final
2021-03-28 10:31:55	ga_ls7e_ard_3-2-0_110074_2021-03-28_final
2021-04-07 09:28:06	ga_ls7e_ard_3-2-0_100071_2021-04-06_final
2021-04-09 09:15:11	ga_ls7e_ard_3-2-0_098070_2021-04-08_final
2021-05-02 11:01:29	ga_ls7e_ard_3-2-0_115078_2021-05-02_final
2021-05-04 10:50:58	ga_ls7e_ard_3-2-0_113083_2021-05-04_final
2021-05-16 09:31:24	ga_ls7e_ard_3-2-0_101072_2021-05-16_final
2021-05-20 10:49:37	ga_ls7e_ard_3-2-0_113083_2021-05-20_final
2021-05-24 10:21:46	ga_ls7e_ard_3-2-0_109076_2021-05-24_final
2021-05-28 08:19:49	ga_ls7e_ard_3-2-0_089081_2021-05-27_final
2021-05-28 09:55:54	ga_ls7e_ard_3-2-0_105074_2021-05-28_final
2021-06-20 08:27:18	ga_ls7e_ard_3-2-0_090089_2021-06-19_final
2021-06-23 10:34:26	ga_ls7e_ard_3-2-0_111083_2021-06-23_final
2021-06-29 08:16:22	ga_ls7e_ard_3-2-0_089079_2021-06-28_final
2021-06-29 08:19:10	ga_ls7e_ard_3-2-0_089086_2021-06-28_final
2021-07-15 08:14:13	ga_ls7e_ard_3-2-0_089077_2021-07-14_final
2021-07-18 10:20:57	ga_ls7e_ard_3-2-0_110070_2021-07-18_final
2021-07-22 09:58:16	ga_ls7e_ard_3-2-0_106076_2021-07-22_final
2021-08-07 08:22:47	ga_ls7e_ard_3-2-0_090088_2021-08-06_final
2021-08-22 09:09:30	ga_ls7e_ard_3-2-0_099069_2021-08-21_final
2021-08-30 08:26:57	ga_ls7e_ard_3-2-0_091088_2021-08-29_final
2021-09-06 10:06:13	ga_ls7e_ard_3-2-0_108075_2021-09-06_final
2021-09-21 09:22:49	ga_ls7e_ard_3-2-0_101078_2021-09-20_final
2021-10-26 08:16:30	ga_ls7e_ard_3-2-0_090090_2021-10-25_final
2021-11-06 09:30:37	ga_ls7e_ard_3-2-0_103077_2021-11-06_final
2021-11-10 09:01:32	ga_ls7e_ard_3-2-0_099067_2021-11-09_final
2021-11-20 09:40:25	ga_ls7e_ard_3-2-1_105074_2021-11-20_final
2021-11-27 08:09:51	ga_ls7e_ard_3-2-1_090081_2021-11-26_final
2021-12-04 08:17:23	ga_ls7e_ard_3-2-1_091086_2021-12-03_final
2021-12-16 10:15:02	ga_ls7e_ard_3-2-1_111074_2021-12-16_final
2021-12-18 10:03:17	ga_ls7e_ard_3-2-1_109076_2021-12-18_final
2021-12-28 09:02:06	ga_ls7e_ard_3-2-1_099080_2021-12-27_final
2022-01-07 09:33:47	ga_ls7e_ard_3-2-1_105069_2022-01-07_final
2022-01-14 08:08:01	ga_ls7e_ard_3-2-1_090088_2022-01-13_final
2022-01-23 07:57:23	ga_ls7e_ard_3-2-1_089079_2022-01-22_final
2022-01-23 09:34:40	ga_ls7e_ard_3-2-1_105075_2022-01-23_final
2022-03-11 08:50:20	ga_ls7e_ard_3-2-1_098084_2022-03-10_final
2022-03-14 09:16:09	ga_ls7e_ard_3-2-1_103072_2022-03-13_final
2022-03-15 08:26:24	ga_ls7e_ard_3-2-1_094087_2022-03-14_final
2022-03-26 08:06:49	ga_ls7e_ard_3-2-1_091087_2022-03-25_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