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
1999-11-30 11:43:59	ga_ls7e_ard_3-0-0_115075_1999-11-30_final
2000-04-06 11:44:26	ga_ls7e_ard_3-1-0_115077_2000-04-06_final
2000-11-25 11:35:22	ga_ls7e_ard_3-0-0_114075_2000-11-25_final
2001-08-08 11:34:49	ga_ls7e_ard_3-0-0_114077_2001-08-08_final
2002-04-05 11:35:48	ga_ls7e_ard_3-0-0_114080_2002-04-05_final
2002-10-21 11:38:59	ga_ls7e_ard_3-0-0_115075_2002-10-21_final
2002-12-01 11:33:16	ga_ls7e_ard_3-0-0_114075_2002-12-01_final
2003-11-02 11:34:38	ga_ls7e_ard_3-0-0_114078_2003-11-02_final
2004-03-16 11:40:04	ga_ls7e_ard_3-0-0_115074_2004-03-16_final
2004-04-10 11:34:38	ga_ls7e_ard_3-0-0_114076_2004-04-10_final
2004-04-17 11:41:57	ga_ls7e_ard_3-0-0_115079_2004-04-17_final
2004-08-07 11:40:48	ga_ls7e_ard_3-0-0_115077_2004-08-07_final
2005-10-29 11:40:07	ga_ls7e_ard_3-0-0_115074_2005-10-29_final
2006-09-23 11:35:18	ga_ls7e_ard_3-0-0_114077_2006-09-23_final
2007-02-05 11:41:58	ga_ls7e_ard_3-0-0_115076_2007-02-05_final
2007-02-05 11:43:10	ga_ls7e_ard_3-0-0_115079_2007-02-05_final
2007-03-25 11:42:32	ga_ls7e_ard_3-1-0_115077_2007-03-25_final
2007-10-12 11:35:34	ga_ls7e_ard_3-0-0_114077_2007-10-12_final
2007-10-28 11:36:10	ga_ls7e_ard_3-0-0_114078_2007-10-28_final
2008-07-26 11:35:30	ga_ls7e_ard_3-0-0_114078_2008-07-26_final
2009-03-23 11:36:50	ga_ls7e_ard_3-0-0_114079_2009-03-23_final
2010-03-17 11:43:45	ga_ls7e_ard_3-0-0_115076_2010-03-17_final
2010-11-05 11:37:36	ga_ls7e_ard_3-0-0_114075_2010-11-05_final
2012-02-19 11:46:08	ga_ls7e_ard_3-1-0_115077_2012-02-19_final
2012-10-16 11:46:33	ga_ls7e_ard_3-0-0_115074_2012-10-16_final
2013-06-22 11:43:02	ga_ls7e_ard_3-0-0_114081_2013-06-22_final
2013-08-09 11:42:12	ga_ls7e_ard_3-0-0_114080_2013-08-09_final
2014-10-31 11:45:10	ga_ls7e_ard_3-0-0_114080_2014-10-31_final
2015-01-19 11:45:58	ga_ls7e_ard_3-0-0_114081_2015-01-19_final
2015-02-20 11:45:47	ga_ls7e_ard_3-0-0_114080_2015-02-20_final
2016-03-26 11:48:22	ga_ls7e_ard_3-0-0_114078_2016-03-26_final
2016-06-14 11:48:22	ga_ls7e_ard_3-1-0_114077_2016-06-14_final
2017-03-04 11:54:06	ga_ls7e_ard_3-1-0_115077_2017-03-04_final
2017-05-16 11:48:19	ga_ls7e_ard_3-0-0_114077_2017-05-16_final
2017-07-10 11:53:28	ga_ls7e_ard_3-0-0_115074_2017-07-10_final
2017-07-26 11:53:27	ga_ls7e_ard_3-0-0_115074_2017-07-26_final
2017-07-26 11:54:15	ga_ls7e_ard_3-0-0_115076_2017-07-26_final
2017-08-11 11:55:01	ga_ls7e_ard_3-0-0_115078_2017-08-11_final
2018-02-28 11:47:36	ga_ls7e_ard_3-0-0_114078_2018-02-28_final
2018-04-01 11:47:59	ga_ls7e_ard_3-0-0_114080_2018-04-01_final
2018-11-27 11:40:50	ga_ls7e_ard_3-0-0_114074_2018-11-27_final
2019-07-16 11:41:14	ga_ls7e_ard_3-0-0_115079_2019-07-16_final
2019-12-16 11:26:45	ga_ls7e_ard_3-1-0_114075_2019-12-16_final
2020-11-25 11:00:50	ga_ls7e_ard_3-1-0_113077_2020-11-25_final
2020-11-29 08:59:21	ga_ls7e_ard_3-1-0_093083_2020-11-28_final
2020-12-10 08:39:35	ga_ls7e_ard_3-1-0_090082_2020-12-09_final
2020-12-15 10:35:02	ga_ls7e_ard_3-1-0_109078_2020-12-15_final
2020-12-17 10:20:55	ga_ls7e_ard_3-1-0_107074_2020-12-17_final
2020-12-18 09:26:01	ga_ls7e_ard_3-1-0_098076_2020-12-17_final
2021-01-03 09:25:17	ga_ls7e_ard_3-1-0_098077_2021-01-02_final
2021-01-10 09:32:11	ga_ls7e_ard_3-1-0_099080_2021-01-10_final
2021-01-21 10:52:56	ga_ls7e_ard_3-2-0_112083_2021-01-21_final
2021-01-25 10:27:31	ga_ls7e_ard_3-2-0_108082_2021-01-25_final
2021-01-28 09:18:32	ga_ls7e_ard_3-2-0_097080_2021-01-27_final
2021-02-03 08:41:01	ga_ls7e_ard_3-2-0_091080_2021-02-02_final
2021-02-20 09:18:36	ga_ls7e_ard_3-2-0_098069_2021-02-19_final
2021-02-21 10:03:23	ga_ls7e_ard_3-2-0_105073_2021-02-21_final
2021-02-22 09:11:41	ga_ls7e_ard_3-2-0_096083_2021-02-21_final
2021-02-24 08:58:22	ga_ls7e_ard_3-2-0_094081_2021-02-23_final
2021-02-24 08:58:46	ga_ls7e_ard_3-2-0_094082_2021-02-23_final
2021-03-11 09:51:37	ga_ls7e_ard_3-2-0_103078_2021-03-11_final
2021-03-19 09:02:45	ga_ls7e_ard_3-2-0_095081_2021-03-18_final
2021-04-02 09:15:10	ga_ls7e_ard_3-2-0_097084_2021-04-01_final
2021-04-25 10:55:54	ga_ls7e_ard_3-2-0_114078_2021-04-25_final
2021-04-29 08:49:58	ga_ls7e_ard_3-2-0_094073_2021-04-28_final
2021-05-18 09:18:53	ga_ls7e_ard_3-2-0_099072_2021-05-17_final
2021-05-28 09:57:30	ga_ls7e_ard_3-2-0_105078_2021-05-28_final
2021-06-07 08:55:39	ga_ls7e_ard_3-2-0_095080_2021-06-06_final
2021-06-07 08:56:51	ga_ls7e_ard_3-2-0_095083_2021-06-06_final
2021-06-07 08:58:27	ga_ls7e_ard_3-2-0_095087_2021-06-06_final
2021-06-07 10:35:44	ga_ls7e_ard_3-2-0_111083_2021-06-07_final
2021-06-11 08:30:13	ga_ls7e_ard_3-2-0_091079_2021-06-10_final
2021-06-25 10:17:07	ga_ls7e_ard_3-2-0_109071_2021-06-25_final
2021-06-29 09:51:16	ga_ls7e_ard_3-2-0_105069_2021-06-29_final
2021-07-06 10:00:27	ga_ls7e_ard_3-2-0_106078_2021-07-06_final
2021-07-18 08:43:40	ga_ls7e_ard_3-2-0_094074_2021-07-17_final
2021-07-21 09:16:42	ga_ls7e_ard_3-2-0_099080_2021-07-20_final
2021-07-22 09:58:40	ga_ls7e_ard_3-2-0_106077_2021-07-22_final
2021-07-24 09:44:57	ga_ls7e_ard_3-2-0_104074_2021-07-24_final
2021-08-08 08:58:46	ga_ls7e_ard_3-2-0_097070_2021-08-07_final
2021-08-24 10:41:26	ga_ls7e_ard_3-2-0_113083_2021-08-24_final
2021-08-30 10:01:02	ga_ls7e_ard_3-2-0_107076_2021-08-30_final
2021-09-12 09:27:00	ga_ls7e_ard_3-2-0_102071_2021-09-11_final
2021-10-02 09:04:06	ga_ls7e_ard_3-2-0_098080_2021-10-01_final
2021-10-06 10:18:18	ga_ls7e_ard_3-2-0_110081_2021-10-06_final
2021-10-08 10:02:11	ga_ls7e_ard_3-2-0_108072_2021-10-08_final
2021-10-18 10:39:34	ga_ls7e_ard_3-2-0_114075_2021-10-18_final
2021-11-01 09:13:45	ga_ls7e_ard_3-2-0_100080_2021-10-31_final
2021-11-19 08:58:28	ga_ls7e_ard_3-2-1_098077_2021-11-18_final
2021-11-23 10:09:50	ga_ls7e_ard_3-2-1_110071_2021-11-23_final
2021-12-02 08:30:19	ga_ls7e_ard_3-2-1_093087_2021-12-01_final
2021-12-24 09:23:13	ga_ls7e_ard_3-2-1_103070_2021-12-23_final
2022-01-12 08:15:46	ga_ls7e_ard_3-2-1_092076_2022-01-11_final
2022-01-21 08:10:44	ga_ls7e_ard_3-2-1_091081_2022-01-20_final
2022-02-02 10:13:09	ga_ls7e_ard_3-2-1_111081_2022-02-02_final
2022-02-09 10:19:01	ga_ls7e_ard_3-2-1_112082_2022-02-09_final
2022-02-16 10:23:16	ga_ls7e_ard_3-2-1_113079_2022-02-16_final
2022-02-26 09:18:07	ga_ls7e_ard_3-2-1_103073_2022-02-25_final
2022-03-14 09:17:44	ga_ls7e_ard_3-2-1_103076_2022-03-13_final
2022-03-20 08:42:51	ga_ls7e_ard_3-2-1_097083_2022-03-19_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years