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
2000-03-29 09:19:48	ga_ls7e_ard_3-1-0_091086_2000-03-28_final
2000-05-24 11:43:58	ga_ls7e_ard_3-1-0_115077_2000-05-24_final
2001-11-16 09:26:44	ga_ls7e_ard_3-1-0_094067_2001-11-15_final
2002-03-28 10:44:24	ga_ls7e_ard_3-1-0_106075_2002-03-28_final
2004-07-16 09:01:53	ga_ls7e_ard_3-1-0_089081_2004-07-15_final
2005-06-01 09:02:28	ga_ls7e_ard_3-1-0_089081_2005-05-31_final
2005-06-29 09:29:49	ga_ls7e_ard_3-1-0_093088_2005-06-28_final
2006-02-26 09:10:11	ga_ls7e_ard_3-1-0_091068_2006-02-25_final
2006-04-22 10:57:57	ga_ls7e_ard_3-1-0_108075_2006-04-22_final
2007-01-20 11:42:15	ga_ls7e_ard_3-1-0_115077_2007-01-20_final
2007-09-02 10:45:29	ga_ls7e_ard_3-1-0_106075_2007-09-02_final
2008-05-31 09:10:34	ga_ls7e_ard_3-1-0_090085_2008-05-30_final
2008-06-14 10:57:42	ga_ls7e_ard_3-1-0_108075_2008-06-14_final
2008-11-19 09:27:26	ga_ls7e_ard_3-1-0_094067_2008-11-18_final
2009-11-15 11:07:08	ga_ls7e_ard_3-1-0_109081_2009-11-15_final
2009-12-15 11:20:16	ga_ls7e_ard_3-1-0_111082_2009-12-15_final
2010-01-14 09:51:51	ga_ls7e_ard_3-1-0_097076_2010-01-14_final
2010-02-20 10:12:03	ga_ls7e_ard_3-1-0_100079_2010-02-20_final
2011-01-07 09:20:30	ga_ls7e_ard_3-1-0_091086_2011-01-06_final
2011-01-10 11:29:31	ga_ls7e_ard_3-1-0_112084_2011-01-10_final
2011-05-31 09:20:52	ga_ls7e_ard_3-1-0_091086_2011-05-30_final
2012-04-11 11:23:19	ga_ls7e_ard_3-1-0_111082_2012-04-11_final
2013-05-29 10:51:22	ga_ls7e_ard_3-1-0_106075_2013-05-29_final
2013-11-29 10:04:26	ga_ls7e_ard_3-1-0_098080_2013-11-29_final
2014-04-13 11:49:03	ga_ls7e_ard_3-1-0_115077_2014-04-13_final
2014-05-03 11:26:30	ga_ls7e_ard_3-1-0_111082_2014-05-03_final
2014-08-06 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-08-06_final
2015-02-10 09:30:09	ga_ls7e_ard_3-1-0_092081_2015-02-10_final
2015-12-02 11:17:26	ga_ls7e_ard_3-1-0_109081_2015-12-02_final
2016-01-14 09:22:18	ga_ls7e_ard_3-1-0_090085_2016-01-13_final
2016-08-31 10:23:35	ga_ls7e_ard_3-1-0_100081_2016-08-31_final
2017-07-29 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-07-29_final
2017-11-14 09:34:51	ga_ls7e_ard_3-1-0_092083_2017-11-14_final
2018-12-24 11:24:45	ga_ls7e_ard_3-1-0_111082_2018-12-24_final
2019-01-24 10:35:44	ga_ls7e_ard_3-1-0_104070_2019-01-24_final
2019-02-26 09:44:17	ga_ls7e_ard_3-1-0_095083_2019-02-26_final
2019-02-28 09:30:40	ga_ls7e_ard_3-1-0_093080_2019-02-28_final
2019-03-02 09:20:15	ga_ls7e_ard_3-1-0_091085_2019-03-01_final
2019-03-05 11:29:32	ga_ls7e_ard_3-1-0_112084_2019-03-05_final
2019-03-09 09:25:48	ga_ls7e_ard_3-1-0_092084_2019-03-08_final
2019-03-11 10:49:04	ga_ls7e_ard_3-1-0_106076_2019-03-11_final
2019-03-27 09:13:39	ga_ls7e_ard_3-1-0_090086_2019-03-26_final
2019-03-27 10:46:32	ga_ls7e_ard_3-1-0_106071_2019-03-27_final
2019-03-27 10:47:20	ga_ls7e_ard_3-1-0_106073_2019-03-27_final
2019-05-07 09:03:59	ga_ls7e_ard_3-1-0_089081_2019-05-06_final
2019-09-04 11:26:24	ga_ls7e_ard_3-1-0_113078_2019-09-04_final
2019-09-08 11:00:43	ga_ls7e_ard_3-1-0_109076_2019-09-08_final
2019-09-18 09:55:17	ga_ls7e_ard_3-1-0_099068_2019-09-18_final
2019-10-04 10:00:59	ga_ls7e_ard_3-1-0_099084_2019-10-04_final
2019-10-19 10:52:23	ga_ls7e_ard_3-1-0_108075_2019-10-19_final
2019-10-29 11:29:02	ga_ls7e_ard_3-1-0_114075_2019-10-29_final
2019-11-02 09:27:15	ga_ls7e_ard_3-1-0_094080_2019-11-01_final
2019-11-02 11:04:08	ga_ls7e_ard_3-1-0_110075_2019-11-02_final
2019-11-03 10:07:40	ga_ls7e_ard_3-1-0_101073_2019-11-03_final
2019-11-06 10:42:25	ga_ls7e_ard_3-1-0_106083_2019-11-06_final
2019-11-09 09:33:54	ga_ls7e_ard_3-1-0_095082_2019-11-09_final
2019-11-09 11:12:23	ga_ls7e_ard_3-1-0_111081_2019-11-09_final
2019-11-29 09:08:15	ga_ls7e_ard_3-1-0_091082_2019-11-28_final
2019-12-02 11:15:05	ga_ls7e_ard_3-1-0_112075_2019-12-02_final
2019-12-11 09:32:22	ga_ls7e_ard_3-1-0_095082_2019-12-11_final
2019-12-18 11:14:41	ga_ls7e_ard_3-1-0_112076_2019-12-18_final
2020-01-06 10:08:06	ga_ls7e_ard_3-1-0_101082_2020-01-06_final
2020-01-07 10:50:55	ga_ls7e_ard_3-1-0_108081_2020-01-07_final
2020-01-16 10:40:42	ga_ls7e_ard_3-1-0_107072_2020-01-16_final
2020-01-30 09:14:41	ga_ls7e_ard_3-1-0_093075_2020-01-29_final
2020-02-20 11:13:25	ga_ls7e_ard_3-1-0_112081_2020-02-20_final
2020-03-18 10:49:26	ga_ls7e_ard_3-1-0_109071_2020-03-18_final
2020-03-25 11:00:01	ga_ls7e_ard_3-1-0_110083_2020-03-25_final
2020-03-29 10:30:17	ga_ls7e_ard_3-1-0_106071_2020-03-29_final
2020-03-30 11:16:17	ga_ls7e_ard_3-1-0_113078_2020-03-30_final
2020-04-01 11:06:12	ga_ls7e_ard_3-1-0_111084_2020-04-01_final
2020-04-02 10:04:32	ga_ls7e_ard_3-1-0_102069_2020-04-02_final
2020-04-03 09:11:15	ga_ls7e_ard_3-1-0_093075_2020-04-02_final
2020-04-10 10:56:19	ga_ls7e_ard_3-1-0_110076_2020-04-10_final
2020-04-17 09:25:12	ga_ls7e_ard_3-1-0_095081_2020-04-16_final
2020-04-17 10:58:54	ga_ls7e_ard_3-1-0_111068_2020-04-17_final
2020-04-21 10:40:19	ga_ls7e_ard_3-1-0_107084_2020-04-21_final
2021-03-11 09:48:26	ga_ls7e_ard_3-2-0_103070_2021-03-11_final
2021-04-02 10:53:15	ga_ls7e_ard_3-2-0_113082_2021-04-02_final
2021-05-19 10:00:51	ga_ls7e_ard_3-2-0_106069_2021-05-19_final
2021-06-15 09:45:15	ga_ls7e_ard_3-2-0_103082_2021-06-15_final
2021-06-27 08:29:18	ga_ls7e_ard_3-2-0_091080_2021-06-26_final
2021-07-02 08:47:25	ga_ls7e_ard_3-2-0_094080_2021-07-01_final
2021-08-15 09:04:19	ga_ls7e_ard_3-2-0_098070_2021-08-14_final
2021-08-16 09:48:41	ga_ls7e_ard_3-2-0_105073_2021-08-16_final
2021-08-19 10:23:19	ga_ls7e_ard_3-2-0_110083_2021-08-19_final
2021-08-26 10:25:18	ga_ls7e_ard_3-2-0_111074_2021-08-26_final
2021-09-02 08:54:00	ga_ls7e_ard_3-2-0_096079_2021-09-01_final
2021-09-25 10:38:37	ga_ls7e_ard_3-2-0_113083_2021-09-25_final
2021-09-27 08:47:35	ga_ls7e_ard_3-2-0_095084_2021-09-26_final
2021-09-28 09:27:58	ga_ls7e_ard_3-2-0_102077_2021-09-27_final
2021-10-18 10:40:46	ga_ls7e_ard_3-2-0_114078_2021-10-18_final
2021-10-31 10:11:04	ga_ls7e_ard_3-2-0_109084_2021-10-31_final
2021-11-07 08:37:42	ga_ls7e_ard_3-2-0_094084_2021-11-06_final
2021-11-18 09:51:23	ga_ls7e_ard_3-2-1_107070_2021-11-18_final
2021-11-25 10:01:40	ga_ls7e_ard_3-2-1_108082_2021-11-25_final
2021-11-30 10:16:57	ga_ls7e_ard_3-2-1_111075_2021-11-30_final
2021-12-07 08:46:24	ga_ls7e_ard_3-2-1_096082_2021-12-06_final
2022-03-20 08:43:39	ga_ls7e_ard_3-2-1_097085_2022-03-19_final
2022-03-31 08:24:29	ga_ls7e_ard_3-2-1_094086_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