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
2000-04-17 11:26:33	ga_ls7e_ard_3-1-0_112079_2000-04-17_final
2000-08-02 11:07:41	ga_ls7e_ard_3-1-0_109081_2000-08-02_final
2000-08-27 11:01:41	ga_ls7e_ard_3-1-0_108082_2000-08-27_final
2000-12-12 10:37:47	ga_ls7e_ard_3-1-0_105070_2000-12-12_final
2001-03-27 10:31:23	ga_ls7e_ard_3-1-0_104070_2001-03-27_final
2001-05-04 09:58:12	ga_ls7e_ard_3-1-0_098080_2001-05-04_final
2001-10-02 10:00:37	ga_ls7e_ard_3-1-0_099075_2001-10-02_final
2002-02-09 09:49:16	ga_ls7e_ard_3-1-0_097076_2002-02-09_final
2002-03-14 10:30:07	ga_ls7e_ard_3-1-0_104070_2002-03-14_final
2002-03-30 10:30:01	ga_ls7e_ard_3-1-0_104070_2002-03-30_final
2002-04-02 09:28:47	ga_ls7e_ard_3-1-0_093087_2002-04-01_final
2002-05-02 09:35:39	ga_ls7e_ard_3-1-0_095073_2002-05-02_final
2002-05-07 09:56:58	ga_ls7e_ard_3-1-0_098080_2002-05-07_final
2002-05-21 10:09:36	ga_ls7e_ard_3-1-0_100081_2002-05-21_final
2002-07-04 10:29:40	ga_ls7e_ard_3-1-0_104070_2002-07-04_final
2002-08-16 10:12:51	ga_ls7e_ard_3-1-0_101075_2002-08-16_final
2003-01-26 09:09:11	ga_ls7e_ard_3-1-0_090085_2003-01-25_final
2003-05-25 09:12:46	ga_ls7e_ard_3-1-0_091078_2003-05-24_final
2003-11-22 09:30:05	ga_ls7e_ard_3-1-0_094075_2003-11-22_final
2004-07-03 09:33:37	ga_ls7e_ard_3-1-0_094083_2004-07-03_final
2005-06-25 09:49:46	ga_ls7e_ard_3-1-0_097076_2005-06-25_final
2005-11-18 11:18:47	ga_ls7e_ard_3-1-0_111082_2005-11-18_final
2007-04-11 10:46:54	ga_ls7e_ard_3-1-0_106077_2007-04-11_final
2007-06-01 09:39:27	ga_ls7e_ard_3-1-0_095079_2007-06-01_final
2007-08-06 11:06:37	ga_ls7e_ard_3-1-0_109081_2007-08-06_final
2007-09-23 11:06:18	ga_ls7e_ard_3-1-0_109081_2007-09-23_final
2008-07-27 10:40:40	ga_ls7e_ard_3-1-0_105080_2008-07-27_final
2009-01-15 09:28:08	ga_ls7e_ard_3-1-0_093083_2009-01-14_final
2010-10-10 09:27:22	ga_ls7e_ard_3-1-0_092090_2010-10-09_final
2010-12-16 09:53:23	ga_ls7e_ard_3-1-0_097076_2010-12-16_final
2011-04-25 09:42:48	ga_ls7e_ard_3-1-0_095079_2011-04-25_final
2011-05-13 09:30:01	ga_ls7e_ard_3-1-0_093078_2011-05-13_final
2012-02-09 09:32:32	ga_ls7e_ard_3-1-0_093083_2012-02-09_final
2013-12-09 10:37:35	ga_ls7e_ard_3-1-0_104070_2013-12-09_final
2014-01-13 09:36:33	ga_ls7e_ard_3-1-0_093087_2014-01-13_final
2014-06-26 10:48:52	ga_ls7e_ard_3-1-0_105080_2014-06-26_final
2014-09-26 11:14:17	ga_ls7e_ard_3-1-0_109081_2014-09-26_final
2014-10-05 11:08:39	ga_ls7e_ard_3-1-0_108082_2014-10-05_final
2015-08-21 09:30:06	ga_ls7e_ard_3-1-0_092078_2015-08-21_final
2016-01-21 09:26:59	ga_ls7e_ard_3-1-0_091081_2016-01-20_final
2016-12-02 11:31:47	ga_ls7e_ard_3-1-0_111082_2016-12-02_final
2017-03-26 09:40:39	ga_ls7e_ard_3-1-0_093083_2017-03-26_final
2017-08-17 09:41:02	ga_ls7e_ard_3-1-0_093083_2017-08-17_final
2018-07-07 10:50:40	ga_ls7e_ard_3-1-0_105080_2018-07-07_final
2018-09-12 09:42:36	ga_ls7e_ard_3-1-0_094083_2018-09-12_final
2019-02-26 11:21:11	ga_ls7e_ard_3-1-0_111078_2019-02-26_final
2019-02-28 09:29:52	ga_ls7e_ard_3-1-0_093078_2019-02-27_final
2019-03-04 10:44:42	ga_ls7e_ard_3-1-0_105080_2019-03-04_final
2019-03-12 11:31:54	ga_ls7e_ard_3-1-0_113075_2019-03-12_final
2019-03-14 11:19:52	ga_ls7e_ard_3-1-0_111076_2019-03-14_final
2019-03-22 10:30:58	ga_ls7e_ard_3-1-0_103078_2019-03-22_final
2019-03-29 10:34:30	ga_ls7e_ard_3-1-0_104072_2019-03-29_final
2019-05-23 10:41:50	ga_ls7e_ard_3-1-0_105080_2019-05-23_final
2019-09-06 09:35:29	ga_ls7e_ard_3-1-0_095079_2019-09-06_final
2019-09-08 11:01:55	ga_ls7e_ard_3-1-0_109079_2019-09-08_final
2019-09-10 10:46:40	ga_ls7e_ard_3-1-0_107072_2019-09-10_final
2019-09-11 09:52:36	ga_ls7e_ard_3-1-0_098076_2019-09-11_final
2019-09-13 09:39:45	ga_ls7e_ard_3-1-0_096075_2019-09-13_final
2019-09-14 10:23:22	ga_ls7e_ard_3-1-0_103076_2019-09-14_final
2019-09-20 11:27:18	ga_ls7e_ard_3-1-0_113082_2019-09-20_final
2019-09-22 09:33:34	ga_ls7e_ard_3-1-0_095076_2019-09-22_final
2019-09-24 11:01:36	ga_ls7e_ard_3-1-0_109080_2019-09-24_final
2019-09-27 09:51:54	ga_ls7e_ard_3-1-0_098076_2019-09-27_final
2019-09-27 11:31:58	ga_ls7e_ard_3-1-0_114079_2019-09-27_final
2019-09-29 09:39:27	ga_ls7e_ard_3-1-0_096076_2019-09-29_final
2019-10-08 09:32:30	ga_ls7e_ard_3-1-0_095075_2019-10-08_final
2019-10-10 09:20:52	ga_ls7e_ard_3-1-0_093077_2019-10-09_final
2019-11-23 09:42:25	ga_ls7e_ard_3-1-0_097074_2019-11-23_final
2019-12-04 11:04:13	ga_ls7e_ard_3-1-0_110079_2019-12-04_final
2019-12-06 09:14:05	ga_ls7e_ard_3-1-0_092082_2019-12-05_final
2019-12-08 10:38:30	ga_ls7e_ard_3-1-0_106077_2019-12-08_final
2019-12-22 10:49:46	ga_ls7e_ard_3-1-0_108076_2019-12-22_final
2020-01-28 09:31:08	ga_ls7e_ard_3-1-0_095085_2020-01-28_final
2020-01-28 11:08:01	ga_ls7e_ard_3-1-0_111080_2020-01-28_final
2020-02-06 11:00:59	ga_ls7e_ard_3-1-0_110079_2020-02-06_final
2020-02-24 10:47:18	ga_ls7e_ard_3-1-0_108078_2020-02-24_final
2020-03-07 11:10:34	ga_ls7e_ard_3-1-0_112076_2020-03-07_final
2020-03-08 10:14:30	ga_ls7e_ard_3-1-0_103075_2020-03-08_final
2020-03-14 09:40:17	ga_ls7e_ard_3-1-0_097083_2020-03-14_final
2020-04-05 10:36:52	ga_ls7e_ard_3-1-0_107073_2020-04-05_final
2020-04-13 09:47:45	ga_ls7e_ard_3-1-0_099075_2020-04-13_final
2020-04-15 11:15:45	ga_ls7e_ard_3-1-0_113079_2020-04-15_final
2020-04-19 09:10:44	ga_ls7e_ard_3-1-0_093076_2020-04-18_final
2021-01-21 09:12:51	ga_ls7e_ard_3-2-0_096080_2021-01-20_final
2021-04-13 08:53:19	ga_ls7e_ard_3-2-0_094078_2021-04-12_final
2021-04-13 08:54:55	ga_ls7e_ard_3-2-0_094082_2021-04-12_final
2021-04-27 09:06:29	ga_ls7e_ard_3-2-0_096083_2021-04-26_final
2021-05-19 08:26:46	ga_ls7e_ard_3-2-0_090081_2021-05-18_final
2021-05-28 09:57:06	ga_ls7e_ard_3-2-0_105077_2021-05-28_final
2021-06-11 10:06:42	ga_ls7e_ard_3-2-0_107073_2021-06-11_final
2021-06-20 10:02:59	ga_ls7e_ard_3-2-0_106081_2021-06-20_final
2021-07-01 09:41:56	ga_ls7e_ard_3-2-0_103077_2021-07-01_final
2021-07-09 10:30:17	ga_ls7e_ard_3-2-0_111076_2021-07-09_final
2021-07-09 10:31:29	ga_ls7e_ard_3-2-0_111079_2021-07-09_final
2021-07-12 09:24:03	ga_ls7e_ard_3-2-0_100081_2021-07-11_final
2021-07-15 09:51:06	ga_ls7e_ard_3-2-0_105072_2021-07-15_final
2021-07-26 09:34:24	ga_ls7e_ard_3-2-0_102079_2021-07-26_final
2021-07-31 09:51:42	ga_ls7e_ard_3-2-0_105077_2021-07-31_final
2022-03-24 09:54:39	ga_ls7e_ard_3-2-1_109078_2022-03-24_final
2022-03-25 08:56:56	ga_ls7e_ard_3-2-1_100073_2022-03-24_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