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
2000-03-25 09:40:11	ga_ls7e_ard_3-0-0_095075_2000-03-25_final
2000-06-13 09:43:03	ga_ls7e_ard_3-0-0_095084_2000-06-13_final
2000-11-04 09:38:21	ga_ls7e_ard_3-0-0_095076_2000-11-04_final
2001-02-08 09:34:48	ga_ls7e_ard_3-0-0_095067_2001-02-08_final
2001-03-12 09:38:19	ga_ls7e_ard_3-0-0_095076_2001-03-12_final
2001-08-15 11:41:38	ga_ls7e_ard_3-0-0_115079_2001-08-15_final
2001-09-04 09:38:12	ga_ls7e_ard_3-0-0_095080_2001-09-04_final
2002-01-10 09:41:09	ga_ls7e_ard_3-0-0_095087_2002-01-10_final
2002-04-12 11:41:37	ga_ls7e_ard_3-0-0_115079_2002-04-12_final
2002-05-30 11:41:25	ga_ls7e_ard_3-1-0_115079_2002-05-30_final
2002-11-10 09:37:05	ga_ls7e_ard_3-1-0_095079_2002-11-10_final
2003-04-03 09:39:55	ga_ls7e_ard_3-0-0_095084_2003-04-03_final
2004-03-20 09:38:04	ga_ls7e_ard_3-0-0_095078_2004-03-20_final
2004-04-21 09:37:30	ga_ls7e_ard_3-0-0_095077_2004-04-21_final
2005-04-08 09:38:25	ga_ls7e_ard_3-0-0_095078_2005-04-08_final
2005-05-10 09:39:37	ga_ls7e_ard_3-0-0_095081_2005-05-10_final
2005-11-18 09:37:54	ga_ls7e_ard_3-0-0_095077_2005-11-18_final
2006-04-27 09:38:26	ga_ls7e_ard_3-0-0_095077_2006-04-27_final
2006-06-14 09:38:00	ga_ls7e_ard_3-0-0_095076_2006-06-14_final
2007-11-08 09:38:03	ga_ls7e_ard_3-0-0_095076_2007-11-08_final
2008-01-11 09:39:33	ga_ls7e_ard_3-1-0_095079_2008-01-11_final
2008-04-16 09:39:19	ga_ls7e_ard_3-1-0_095079_2008-04-16_final
2008-07-21 09:38:55	ga_ls7e_ard_3-0-0_095080_2008-07-21_final
2009-08-25 09:39:22	ga_ls7e_ard_3-1-0_095079_2009-08-25_final
2009-11-29 09:39:58	ga_ls7e_ard_3-1-0_095079_2009-11-29_final
2010-05-24 09:39:43	ga_ls7e_ard_3-0-0_095075_2010-05-24_final
2010-06-09 09:39:44	ga_ls7e_ard_3-0-0_095075_2010-06-09_final
2011-01-19 09:42:31	ga_ls7e_ard_3-1-0_095079_2011-01-19_final
2011-03-24 09:41:58	ga_ls7e_ard_3-0-0_095077_2011-03-24_final
2011-11-03 09:42:35	ga_ls7e_ard_3-1-0_095079_2011-11-03_final
2011-12-05 09:45:21	ga_ls7e_ard_3-0-0_095085_2011-12-05_final
2012-08-17 09:45:09	ga_ls7e_ard_3-0-0_095081_2012-08-17_final
2012-09-18 09:45:03	ga_ls7e_ard_3-0-0_095080_2012-09-18_final
2013-04-14 09:43:36	ga_ls7e_ard_3-0-0_095075_2013-04-14_final
2013-08-04 09:42:27	ga_ls7e_ard_3-0-0_095074_2013-08-04_final
2013-10-23 09:44:51	ga_ls7e_ard_3-0-0_095078_2013-10-23_final
2014-01-27 09:46:48	ga_ls7e_ard_3-0-0_095081_2014-01-27_final
2014-04-01 09:44:58	ga_ls7e_ard_3-0-0_095076_2014-04-01_final
2014-09-08 09:45:15	ga_ls7e_ard_3-0-0_095075_2014-09-08_final
2015-04-04 09:49:06	ga_ls7e_ard_3-0-0_095081_2015-04-04_final
2015-09-11 09:47:54	ga_ls7e_ard_3-0-0_095076_2015-09-11_final
2016-02-18 09:49:29	ga_ls7e_ard_3-0-0_095075_2016-02-18_final
2016-12-02 09:51:42	ga_ls7e_ard_3-1-0_095079_2016-12-02_final
2017-04-25 09:50:25	ga_ls7e_ard_3-0-0_095076_2017-04-25_final
2017-05-11 09:51:16	ga_ls7e_ard_3-0-0_095078_2017-05-11_final
2017-06-12 09:51:48	ga_ls7e_ard_3-1-0_095079_2017-06-12_final
2017-07-30 09:51:02	ga_ls7e_ard_3-0-0_095077_2017-07-30_final
2017-10-02 09:51:48	ga_ls7e_ard_3-1-0_095079_2017-10-02_final
2019-11-09 09:31:55	ga_ls7e_ard_3-1-0_095077_2019-11-09_final
2021-02-16 09:45:37	ga_ls7e_ard_3-2-0_102074_2021-02-16_final
2021-02-22 09:09:17	ga_ls7e_ard_3-2-0_096077_2021-02-21_final
2021-02-27 09:26:15	ga_ls7e_ard_3-2-0_099074_2021-02-26_final
2021-04-01 10:08:04	ga_ls7e_ard_3-2-0_106077_2021-04-01_final
2021-04-02 09:14:46	ga_ls7e_ard_3-2-0_097083_2021-04-01_final
2021-04-04 09:00:39	ga_ls7e_ard_3-2-0_095079_2021-04-03_final
2021-04-06 10:27:00	ga_ls7e_ard_3-2-0_109079_2021-04-06_final
2021-04-12 09:47:01	ga_ls7e_ard_3-2-0_103073_2021-04-12_final
2021-04-15 10:16:52	ga_ls7e_ard_3-2-0_108071_2021-04-15_final
2021-04-22 08:47:58	ga_ls7e_ard_3-2-0_093082_2021-04-21_final
2021-05-19 08:27:10	ga_ls7e_ard_3-2-0_090082_2021-05-18_final
2021-05-19 10:06:26	ga_ls7e_ard_3-2-0_106083_2021-05-19_final
2021-05-23 09:38:35	ga_ls7e_ard_3-2-0_102076_2021-05-23_final
2021-05-23 09:40:11	ga_ls7e_ard_3-2-0_102080_2021-05-23_final
2021-06-05 10:45:04	ga_ls7e_ard_3-2-0_113075_2021-06-05_final
2021-06-09 10:22:01	ga_ls7e_ard_3-2-0_109080_2021-06-09_final
2021-06-16 10:26:50	ga_ls7e_ard_3-2-0_110078_2021-06-16_final
2021-06-16 10:27:14	ga_ls7e_ard_3-2-0_110079_2021-06-16_final
2021-06-21 09:05:17	ga_ls7e_ard_3-2-0_097076_2021-06-20_final
2021-07-04 10:10:35	ga_ls7e_ard_3-2-0_108072_2021-07-04_final
2021-07-07 09:06:20	ga_ls7e_ard_3-2-0_097082_2021-07-06_final
2021-07-09 08:54:12	ga_ls7e_ard_3-2-0_095083_2021-07-08_final
2021-07-18 10:24:32	ga_ls7e_ard_3-2-0_110079_2021-07-18_final
2021-07-20 08:34:43	ga_ls7e_ard_3-2-0_092083_2021-07-19_final
2021-07-25 08:51:14	ga_ls7e_ard_3-2-0_095079_2021-07-24_final
2021-07-27 10:14:47	ga_ls7e_ard_3-2-0_109072_2021-07-27_final
2021-08-03 08:44:40	ga_ls7e_ard_3-2-0_094080_2021-08-02_final
2021-08-17 08:52:59	ga_ls7e_ard_3-2-0_096073_2021-08-16_final
2021-08-30 08:22:58	ga_ls7e_ard_3-2-0_091078_2021-08-29_final
2021-09-07 09:10:06	ga_ls7e_ard_3-2-0_099074_2021-09-06_final
2021-09-19 09:32:10	ga_ls7e_ard_3-2-0_103070_2021-09-19_final
2021-10-06 08:37:02	ga_ls7e_ard_3-2-0_094075_2021-10-05_final
2021-10-12 09:37:54	ga_ls7e_ard_3-2-0_104074_2021-10-12_final
2021-10-13 10:23:28	ga_ls7e_ard_3-2-0_111080_2021-10-13_final
2021-10-15 10:09:44	ga_ls7e_ard_3-2-0_109077_2021-10-15_final
2021-10-15 10:11:20	ga_ls7e_ard_3-2-0_109081_2021-10-15_final
2021-10-31 08:30:59	ga_ls7e_ard_3-2-0_093081_2021-10-30_final
2021-11-02 08:17:39	ga_ls7e_ard_3-2-0_091079_2021-11-01_final
2021-11-02 09:57:43	ga_ls7e_ard_3-2-0_107082_2021-11-02_final
2021-11-16 10:07:32	ga_ls7e_ard_3-2-1_109079_2021-11-16_final
2021-12-10 09:16:13	ga_ls7e_ard_3-2-1_101080_2021-12-09_final
2021-12-18 10:05:17	ga_ls7e_ard_3-2-1_109081_2021-12-18_final
2021-12-25 10:09:35	ga_ls7e_ard_3-2-1_110078_2021-12-25_final
2022-02-17 09:27:33	ga_ls7e_ard_3-2-1_104079_2022-02-16_final
2022-02-17 09:28:21	ga_ls7e_ard_3-2-1_104081_2022-02-16_final
2022-02-25 10:15:50	ga_ls7e_ard_3-2-1_112078_2022-02-25_final
2022-03-04 08:44:27	ga_ls7e_ard_3-2-1_097083_2022-03-03_final
2022-03-05 09:22:26	ga_ls7e_ard_3-2-1_104070_2022-03-04_final
2022-03-05 09:23:37	ga_ls7e_ard_3-2-1_104073_2022-03-04_final
2022-03-12 09:30:42	ga_ls7e_ard_3-2-1_105077_2022-03-12_final
2022-03-15 08:23:13	ga_ls7e_ard_3-2-1_094079_2022-03-14_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