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
1999-11-15 09:13:35	ga_ls7e_ard_3-1-0_090085_1999-11-14_final
2000-03-13 09:19:50	ga_ls7e_ard_3-1-0_091086_2000-03-12_final
2000-09-29 11:42:27	ga_ls7e_ard_3-1-0_115077_2000-09-29_final
2001-02-17 09:28:39	ga_ls7e_ard_3-1-0_094067_2001-02-16_final
2001-02-22 09:50:45	ga_ls7e_ard_3-1-0_097076_2001-02-22_final
2001-06-25 11:08:29	ga_ls7e_ard_3-1-0_110072_2001-06-25_final
2001-09-10 09:01:30	ga_ls7e_ard_3-1-0_089081_2001-09-09_final
2003-08-25 11:17:40	ga_ls7e_ard_3-1-0_111082_2003-08-25_final
2003-11-26 09:07:46	ga_ls7e_ard_3-1-0_090081_2003-11-25_final
2003-11-29 11:17:57	ga_ls7e_ard_3-1-0_111082_2003-11-29_final
2004-05-25 11:05:41	ga_ls7e_ard_3-1-0_109081_2004-05-25_final
2005-04-10 11:06:07	ga_ls7e_ard_3-1-0_109081_2005-04-10_final
2005-08-07 09:33:59	ga_ls7e_ard_3-1-0_094083_2005-08-07_final
2006-01-09 09:17:06	ga_ls7e_ard_3-1-0_091086_2006-01-08_final
2006-05-24 09:22:19	ga_ls7e_ard_3-1-0_092083_2006-05-23_final
2007-04-25 10:58:25	ga_ls7e_ard_3-1-0_108075_2007-04-25_final
2007-05-31 10:31:29	ga_ls7e_ard_3-1-0_104070_2007-05-31_final
2007-10-06 10:30:53	ga_ls7e_ard_3-1-0_104070_2007-10-06_final
2008-04-20 09:17:23	ga_ls7e_ard_3-1-0_091086_2008-04-19_final
2008-11-10 11:18:22	ga_ls7e_ard_3-1-0_111082_2008-11-10_final
2008-12-12 11:18:44	ga_ls7e_ard_3-1-0_111082_2008-12-12_final
2009-02-11 10:46:15	ga_ls7e_ard_3-1-0_106077_2009-02-11_final
2009-06-05 10:31:40	ga_ls7e_ard_3-1-0_104070_2009-06-05_final
2010-02-04 10:11:53	ga_ls7e_ard_3-1-0_100079_2010-02-04_final
2010-05-03 11:00:07	ga_ls7e_ard_3-1-0_108075_2010-05-03_final
2010-07-13 11:08:44	ga_ls7e_ard_3-1-0_109081_2010-07-13_final
2010-11-18 11:09:17	ga_ls7e_ard_3-1-0_109081_2010-11-18_final
2011-03-26 09:30:01	ga_ls7e_ard_3-1-0_093078_2011-03-26_final
2012-02-22 10:35:22	ga_ls7e_ard_3-1-0_104070_2012-02-22_final
2012-02-27 09:21:24	ga_ls7e_ard_3-1-0_091086_2012-02-26_final
2012-06-30 11:23:50	ga_ls7e_ard_3-1-0_111082_2012-06-30_final
2012-10-14 10:20:24	ga_ls7e_ard_3-1-0_101075_2012-10-14_final
2012-10-15 09:27:59	ga_ls7e_ard_3-1-0_092083_2012-10-14_final
2012-10-29 09:34:04	ga_ls7e_ard_3-1-0_094067_2012-10-29_final
2013-03-07 10:20:50	ga_ls7e_ard_3-1-0_101075_2013-03-07_final
2013-04-09 11:03:59	ga_ls7e_ard_3-1-0_108075_2013-04-09_final
2013-04-20 09:08:51	ga_ls7e_ard_3-1-0_089081_2013-04-19_final
2013-12-05 11:04:17	ga_ls7e_ard_3-1-0_108075_2013-12-05_final
2014-02-28 11:26:00	ga_ls7e_ard_3-1-0_111082_2014-02-28_final
2014-04-11 10:21:42	ga_ls7e_ard_3-1-0_101075_2014-04-11_final
2014-04-16 10:38:19	ga_ls7e_ard_3-1-0_104070_2014-04-16_final
2014-08-04 09:18:20	ga_ls7e_ard_3-1-0_090085_2014-08-03_final
2015-02-17 11:15:14	ga_ls7e_ard_3-1-0_109081_2015-02-17_final
2015-07-25 09:46:33	ga_ls7e_ard_3-1-0_095073_2015-07-25_final
2015-08-14 09:27:06	ga_ls7e_ard_3-1-0_091086_2015-08-13_final
2015-11-30 11:30:11	ga_ls7e_ard_3-1-0_111082_2015-11-30_final
2015-12-27 11:07:40	ga_ls7e_ard_3-1-0_108071_2015-12-27_final
2016-01-10 09:39:47	ga_ls7e_ard_3-1-0_094067_2016-01-10_final
2016-09-15 11:19:14	ga_ls7e_ard_3-1-0_109081_2016-09-15_final
2016-11-27 11:13:15	ga_ls7e_ard_3-1-0_108082_2016-11-27_final
2017-01-03 11:31:33	ga_ls7e_ard_3-1-0_111082_2017-01-03_final
2017-03-06 10:02:29	ga_ls7e_ard_3-1-0_097076_2017-03-06_final
2017-04-18 09:46:59	ga_ls7e_ard_3-1-0_094083_2017-04-18_final
2017-06-07 11:10:32	ga_ls7e_ard_3-1-0_108075_2017-06-07_final
2018-07-19 11:15:35	ga_ls7e_ard_3-1-0_109081_2018-07-19_final
2018-10-04 10:38:42	ga_ls7e_ard_3-1-0_104070_2018-10-04_final
2019-02-01 09:50:25	ga_ls7e_ard_3-1-0_096081_2019-02-01_final
2019-02-09 10:35:14	ga_ls7e_ard_3-1-0_104070_2019-02-09_final
2019-03-29 10:37:42	ga_ls7e_ard_3-1-0_104080_2019-03-29_final
2019-08-28 09:43:39	ga_ls7e_ard_3-1-0_096083_2019-08-28_final
2019-08-30 09:28:24	ga_ls7e_ard_3-1-0_094076_2019-08-29_final
2019-09-06 09:35:53	ga_ls7e_ard_3-1-0_095080_2019-09-06_final
2019-09-09 10:04:15	ga_ls7e_ard_3-1-0_100074_2019-09-09_final
2019-09-10 09:12:35	ga_ls7e_ard_3-1-0_091084_2019-09-09_final
2019-09-12 08:59:44	ga_ls7e_ard_3-1-0_089083_2019-09-11_final
2019-09-13 09:41:21	ga_ls7e_ard_3-1-0_096079_2019-09-13_final
2019-09-17 10:56:32	ga_ls7e_ard_3-1-0_108082_2019-09-17_final
2019-09-25 10:05:32	ga_ls7e_ard_3-1-0_100079_2019-09-25_final
2019-10-01 11:08:17	ga_ls7e_ard_3-1-0_110082_2019-10-01_final
2019-10-03 10:55:51	ga_ls7e_ard_3-1-0_108082_2019-10-03_final
2019-10-12 10:46:30	ga_ls7e_ard_3-1-0_107075_2019-10-12_final
2019-10-22 11:25:33	ga_ls7e_ard_3-1-0_113081_2019-10-22_final
2019-11-06 09:03:09	ga_ls7e_ard_3-1-0_090082_2019-11-05_final
2019-11-09 11:12:47	ga_ls7e_ard_3-1-0_111082_2019-11-09_final
2019-11-09 11:13:11	ga_ls7e_ard_3-1-0_111083_2019-11-09_final
2019-11-13 09:10:36	ga_ls7e_ard_3-1-0_091086_2019-11-12_final
2019-11-19 10:07:44	ga_ls7e_ard_3-1-0_101075_2019-11-19_final
2019-11-20 09:15:39	ga_ls7e_ard_3-1-0_092084_2019-11-19_final
2019-11-25 11:09:39	ga_ls7e_ard_3-1-0_111076_2019-11-25_final
2019-12-02 11:17:05	ga_ls7e_ard_3-1-0_112080_2019-12-02_final
2019-12-05 10:06:58	ga_ls7e_ard_3-1-0_101075_2019-12-05_final
2019-12-12 10:11:36	ga_ls7e_ard_3-1-0_102072_2019-12-12_final
2019-12-20 09:26:32	ga_ls7e_ard_3-1-0_094084_2019-12-19_final
2019-12-21 10:05:21	ga_ls7e_ard_3-1-0_101073_2019-12-21_final
2019-12-31 09:05:26	ga_ls7e_ard_3-1-0_091079_2019-12-30_final
2020-01-14 10:55:33	ga_ls7e_ard_3-1-0_109078_2020-01-14_final
2020-02-15 09:16:16	ga_ls7e_ard_3-1-0_093081_2020-02-14_final
2020-02-18 09:44:37	ga_ls7e_ard_3-1-0_098075_2020-02-18_final
2020-02-26 10:34:26	ga_ls7e_ard_3-1-0_106077_2020-02-26_final
2020-02-28 10:21:58	ga_ls7e_ard_3-1-0_104077_2020-02-28_final
2020-03-08 10:16:30	ga_ls7e_ard_3-1-0_103080_2020-03-08_final
2020-03-11 10:44:02	ga_ls7e_ard_3-1-0_108072_2020-03-11_final
2020-04-05 09:01:34	ga_ls7e_ard_3-1-0_091082_2020-04-04_final
2020-04-06 11:21:40	ga_ls7e_ard_3-1-0_114077_2020-04-06_final
2020-04-17 10:58:30	ga_ls7e_ard_3-1-0_111067_2020-04-17_final
2020-04-19 10:48:48	ga_ls7e_ard_3-1-0_109074_2020-04-19_final
2022-03-13 10:15:03	ga_ls7e_ard_3-2-1_112080_2022-03-13_final
2022-03-24 08:15:22	ga_ls7e_ard_3-2-1_093077_2022-03-23_final
2022-03-24 08:16:34	ga_ls7e_ard_3-2-1_093080_2022-03-23_final
2022-03-25 08:57:44	ga_ls7e_ard_3-2-1_100075_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