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
1999-08-14 09:39:41	ga_ls7e_ard_3-1-0_095073_1999-08-14_final
2002-09-23 09:39:46	ga_ls7e_ard_3-0-0_095086_2002-09-23_final
2003-04-15 11:40:22	ga_ls7e_ard_3-0-0_115076_2003-04-15_final
2003-11-29 09:39:04	ga_ls7e_ard_3-0-0_095082_2003-11-29_final
2003-12-15 09:38:46	ga_ls7e_ard_3-0-0_095081_2003-12-15_final
2004-02-29 11:41:56	ga_ls7e_ard_3-0-0_115079_2004-02-29_final
2004-12-29 11:41:20	ga_ls7e_ard_3-1-0_115077_2004-12-29_final
2005-02-03 09:39:53	ga_ls7e_ard_3-0-0_095082_2005-02-03_final
2005-03-23 09:40:05	ga_ls7e_ard_3-0-0_095082_2005-03-23_final
2005-05-31 11:35:47	ga_ls7e_ard_3-0-0_114078_2005-05-31_final
2005-10-06 11:35:38	ga_ls7e_ard_3-0-0_114079_2005-10-06_final
2006-01-17 11:41:54	ga_ls7e_ard_3-1-0_115077_2006-01-17_final
2006-03-10 09:41:41	ga_ls7e_ard_3-0-0_095085_2006-03-10_final
2006-08-06 11:36:18	ga_ls7e_ard_3-0-0_114079_2006-08-06_final
2006-10-09 11:36:23	ga_ls7e_ard_3-0-0_114080_2006-10-09_final
2007-03-13 09:42:07	ga_ls7e_ard_3-0-0_095085_2007-03-13_final
2007-03-25 11:42:32	ga_ls7e_ard_3-1-0_115077_2007-03-25_final
2007-06-01 09:37:51	ga_ls7e_ard_3-0-0_095075_2007-06-01_final
2007-09-21 09:40:11	ga_ls7e_ard_3-0-0_095082_2007-09-21_final
2008-01-11 09:41:57	ga_ls7e_ard_3-0-0_095085_2008-01-11_final
2008-04-16 09:37:19	ga_ls7e_ard_3-0-0_095074_2008-04-16_final
2008-04-28 11:42:05	ga_ls7e_ard_3-0-0_115077_2008-04-28_final
2008-10-21 11:40:23	ga_ls7e_ard_3-0-0_115076_2008-10-21_final
2009-04-08 11:36:32	ga_ls7e_ard_3-0-0_114078_2009-04-08_final
2010-02-01 09:43:44	ga_ls7e_ard_3-0-0_095086_2010-02-01_final
2010-10-31 09:39:43	ga_ls7e_ard_3-0-0_095074_2010-10-31_final
2010-12-02 09:40:31	ga_ls7e_ard_3-0-0_095075_2010-12-02_final
2011-04-09 09:40:02	ga_ls7e_ard_3-0-0_095072_2011-04-09_final
2011-11-19 09:38:02	ga_ls7e_ard_3-0-0_095067_2011-11-19_final
2011-11-24 11:40:42	ga_ls7e_ard_3-0-0_114080_2011-11-24_final
2011-12-10 11:40:00	ga_ls7e_ard_3-0-0_114078_2011-12-10_final
2012-02-07 09:45:17	ga_ls7e_ard_3-0-0_095084_2012-02-07_final
2012-11-05 09:43:02	ga_ls7e_ard_3-0-0_095074_2012-11-05_final
2013-02-05 11:49:01	ga_ls7e_ard_3-0-0_115079_2013-02-05_final
2013-08-20 09:41:45	ga_ls7e_ard_3-0-0_095072_2013-08-20_final
2013-11-29 11:42:07	ga_ls7e_ard_3-0-0_114077_2013-11-29_final
2014-09-08 09:44:27	ga_ls7e_ard_3-1-0_095073_2014-09-08_final
2015-01-30 09:45:04	ga_ls7e_ard_3-0-0_095072_2015-01-30_final
2015-06-23 09:46:24	ga_ls7e_ard_3-1-0_095073_2015-06-23_final
2015-10-13 09:50:57	ga_ls7e_ard_3-0-0_095083_2015-10-13_final
2016-01-01 09:49:00	ga_ls7e_ard_3-0-0_095075_2016-01-01_final
2016-10-31 09:49:28	ga_ls7e_ard_3-1-0_095073_2016-10-31_final
2017-03-08 09:52:31	ga_ls7e_ard_3-0-0_095082_2017-03-08_final
2018-09-03 09:44:59	ga_ls7e_ard_3-1-0_095073_2018-09-03_final
2018-11-27 11:43:14	ga_ls7e_ard_3-0-0_114080_2018-11-27_final
2018-11-27 11:43:38	ga_ls7e_ard_3-0-0_114081_2018-11-27_final
2019-01-14 11:42:15	ga_ls7e_ard_3-0-0_114081_2019-01-14_final
2019-03-30 09:41:15	ga_ls7e_ard_3-0-0_095078_2019-03-30_final
2019-12-27 09:32:45	ga_ls7e_ard_3-1-0_095085_2019-12-27_final
2020-02-02 11:26:19	ga_ls7e_ard_3-1-0_114080_2020-02-02_final
2021-02-10 10:25:09	ga_ls7e_ard_3-2-0_108079_2021-02-10_final
2021-02-15 09:05:14	ga_ls7e_ard_3-2-0_095081_2021-02-14_final
2021-03-04 09:42:24	ga_ls7e_ard_3-2-0_102069_2021-03-04_final
2021-03-05 10:25:59	ga_ls7e_ard_3-2-0_109070_2021-03-05_final
2021-03-07 10:17:27	ga_ls7e_ard_3-2-0_107080_2021-03-07_final
2021-03-19 09:00:21	ga_ls7e_ard_3-2-0_095075_2021-03-18_final
2021-04-01 10:06:05	ga_ls7e_ard_3-2-0_106072_2021-04-01_final
2021-04-22 10:23:39	ga_ls7e_ard_3-2-0_109074_2021-04-22_final
2021-04-24 08:38:14	ga_ls7e_ard_3-2-0_091089_2021-04-23_final
2021-04-24 10:09:56	ga_ls7e_ard_3-2-0_107071_2021-04-24_final
2021-05-11 10:54:34	ga_ls7e_ard_3-2-0_114078_2021-05-11_final
2021-05-14 09:42:20	ga_ls7e_ard_3-2-0_103068_2021-05-14_final
2021-05-16 09:31:00	ga_ls7e_ard_3-2-0_101071_2021-05-16_final
2021-05-22 10:36:17	ga_ls7e_ard_3-2-0_111081_2021-05-22_final
2021-05-31 08:47:39	ga_ls7e_ard_3-2-0_094074_2021-05-30_final
2021-06-08 09:36:03	ga_ls7e_ard_3-2-0_102073_2021-06-08_final
2021-07-02 08:46:13	ga_ls7e_ard_3-2-0_094077_2021-07-01_final
2021-07-22 09:55:53	ga_ls7e_ard_3-2-0_106070_2021-07-22_final
2021-08-01 08:59:36	ga_ls7e_ard_3-2-0_096086_2021-07-31_final
2021-08-08 10:39:15	ga_ls7e_ard_3-2-0_113074_2021-08-08_final
2021-08-19 10:18:08	ga_ls7e_ard_3-2-0_110070_2021-08-19_final
2021-08-24 09:03:21	ga_ls7e_ard_3-2-0_097085_2021-08-23_final
2021-08-28 08:39:05	ga_ls7e_ard_3-2-0_093087_2021-08-27_final
2021-08-31 09:05:44	ga_ls7e_ard_3-2-0_098077_2021-08-30_final
2021-09-02 10:34:28	ga_ls7e_ard_3-2-0_112083_2021-09-02_final
2021-09-11 08:48:38	ga_ls7e_ard_3-2-0_095083_2021-09-10_final
2021-09-28 09:27:34	ga_ls7e_ard_3-2-0_102076_2021-09-27_final
2021-10-08 10:02:11	ga_ls7e_ard_3-2-0_108072_2021-10-08_final
2021-10-10 08:17:09	ga_ls7e_ard_3-2-0_090088_2021-10-09_final
2021-10-21 09:28:55	ga_ls7e_ard_3-2-0_103069_2021-10-20_final
2021-11-15 09:21:11	ga_ls7e_ard_3-2-1_102071_2021-11-14_final
2021-12-05 10:35:02	ga_ls7e_ard_3-2-1_114075_2021-12-05_final
2021-12-07 08:45:12	ga_ls7e_ard_3-2-1_096079_2021-12-06_final
2021-12-07 10:25:16	ga_ls7e_ard_3-2-1_112082_2021-12-07_final
2021-12-11 09:56:11	ga_ls7e_ard_3-2-1_108072_2021-12-11_final
2021-12-14 10:28:00	ga_ls7e_ard_3-2-1_113075_2021-12-14_final
2021-12-24 09:23:13	ga_ls7e_ard_3-2-1_103070_2021-12-23_final
2021-12-25 08:29:54	ga_ls7e_ard_3-2-1_094076_2021-12-24_final
2022-01-05 08:15:26	ga_ls7e_ard_3-2-1_091089_2022-01-04_final
2022-01-06 08:55:00	ga_ls7e_ard_3-2-1_098080_2022-01-05_final
2022-01-10 10:08:48	ga_ls7e_ard_3-2-1_110080_2022-01-10_final
2022-01-10 10:09:59	ga_ls7e_ard_3-2-1_110083_2022-01-10_final
2022-01-26 08:29:11	ga_ls7e_ard_3-2-1_094082_2022-01-25_final
2022-02-06 09:44:50	ga_ls7e_ard_3-2-1_107073_2022-02-06_final
2022-02-09 08:37:20	ga_ls7e_ard_3-2-1_096075_2022-02-08_final
2022-03-08 08:18:33	ga_ls7e_ard_3-2-1_093081_2022-03-07_final
2022-03-08 09:56:13	ga_ls7e_ard_3-2-1_109078_2022-03-08_final
2022-03-13 08:38:34	ga_ls7e_ard_3-2-1_096086_2022-03-12_final
2022-03-25 08:59:20	ga_ls7e_ard_3-2-1_100079_2022-03-24_final
2022-03-28 09:29:33	ga_ls7e_ard_3-2-1_105078_2022-03-27_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