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
2000-02-24 09:32:39	ga_ls7e_ard_3-1-0_093087_2000-02-24_final
2002-10-11 09:27:37	ga_ls7e_ard_3-1-0_093087_2002-10-10_final
2003-10-14 09:28:10	ga_ls7e_ard_3-1-0_093087_2003-10-13_final
2003-11-28 10:29:54	ga_ls7e_ard_3-1-0_104070_2003-11-28_final
2004-10-13 10:29:47	ga_ls7e_ard_3-1-0_104070_2004-10-13_final
2005-09-14 10:30:17	ga_ls7e_ard_3-1-0_104070_2005-09-14_final
2006-12-03 10:04:49	ga_ls7e_ard_3-1-0_099081_2006-12-03_final
2006-12-06 10:31:21	ga_ls7e_ard_3-1-0_104070_2006-12-06_final
2007-01-26 09:29:55	ga_ls7e_ard_3-1-0_093086_2007-01-25_final
2007-04-16 09:30:08	ga_ls7e_ard_3-1-0_093086_2007-04-16_final
2007-08-24 10:50:09	ga_ls7e_ard_3-1-0_107071_2007-08-24_final
2007-09-04 10:31:07	ga_ls7e_ard_3-1-0_104070_2007-09-04_final
2008-06-23 10:50:13	ga_ls7e_ard_3-1-0_107072_2008-06-23_final
2008-08-25 10:09:59	ga_ls7e_ard_3-1-0_100081_2008-08-25_final
2008-12-11 10:30:41	ga_ls7e_ard_3-1-0_104070_2008-12-11_final
2009-01-15 09:28:08	ga_ls7e_ard_3-1-0_093083_2009-01-14_final
2009-01-31 09:30:12	ga_ls7e_ard_3-1-0_093088_2009-01-31_final
2009-06-24 09:28:50	ga_ls7e_ard_3-1-0_093083_2009-06-23_final
2010-01-03 10:11:25	ga_ls7e_ard_3-1-0_100079_2010-01-03_final
2010-01-18 09:29:59	ga_ls7e_ard_3-1-0_093083_2010-01-17_final
2010-03-23 09:30:36	ga_ls7e_ard_3-1-0_093083_2010-03-23_final
2010-06-08 10:33:22	ga_ls7e_ard_3-1-0_104070_2010-06-08_final
2010-08-11 10:33:26	ga_ls7e_ard_3-1-0_104070_2010-08-11_final
2010-08-15 10:13:07	ga_ls7e_ard_3-1-0_100081_2010-08-15_final
2010-10-17 09:30:02	ga_ls7e_ard_3-1-0_093081_2010-10-17_final
2011-12-23 09:32:21	ga_ls7e_ard_3-1-0_093083_2011-12-23_final
2012-02-22 10:35:22	ga_ls7e_ard_3-1-0_104070_2012-02-22_final
2012-03-25 10:35:21	ga_ls7e_ard_3-1-0_104070_2012-03-25_final
2012-08-16 10:36:22	ga_ls7e_ard_3-1-0_104070_2012-08-16_final
2013-01-23 10:37:25	ga_ls7e_ard_3-1-0_104070_2013-01-23_final
2014-01-29 09:36:52	ga_ls7e_ard_3-1-0_093087_2014-01-29_final
2014-07-05 10:38:45	ga_ls7e_ard_3-1-0_104070_2014-07-05_final
2014-10-25 10:39:19	ga_ls7e_ard_3-1-0_104070_2014-10-25_final
2015-05-24 09:37:53	ga_ls7e_ard_3-1-0_093083_2015-05-24_final
2018-01-25 10:22:42	ga_ls7e_ard_3-1-0_100081_2018-01-25_final
2018-11-21 10:37:36	ga_ls7e_ard_3-1-0_104070_2018-11-21_final
2019-02-25 10:37:33	ga_ls7e_ard_3-1-0_104077_2019-02-25_final
2019-02-28 09:33:28	ga_ls7e_ard_3-1-0_093087_2019-02-28_final
2019-03-10 10:05:50	ga_ls7e_ard_3-1-0_099076_2019-03-10_final
2019-03-10 10:08:14	ga_ls7e_ard_3-1-0_099082_2019-03-10_final
2019-03-13 10:34:15	ga_ls7e_ard_3-1-0_104070_2019-03-13_final
2019-03-13 10:35:50	ga_ls7e_ard_3-1-0_104074_2019-03-13_final
2019-03-18 10:57:25	ga_ls7e_ard_3-1-0_107082_2019-03-18_final
2019-08-24 10:06:56	ga_ls7e_ard_3-1-0_100079_2019-08-24_final
2019-08-25 10:51:21	ga_ls7e_ard_3-1-0_107082_2019-08-25_final
2019-09-05 10:27:33	ga_ls7e_ard_3-1-0_104070_2019-09-05_final
2019-09-08 09:21:26	ga_ls7e_ard_3-1-0_093075_2019-09-07_final
2019-09-18 09:57:16	ga_ls7e_ard_3-1-0_099073_2019-09-18_final
2019-09-21 10:26:27	ga_ls7e_ard_3-1-0_104069_2019-09-21_final
2019-09-21 10:28:02	ga_ls7e_ard_3-1-0_104073_2019-09-21_final
2019-09-26 10:45:34	ga_ls7e_ard_3-1-0_107071_2019-09-26_final
2019-10-10 09:21:16	ga_ls7e_ard_3-1-0_093078_2019-10-09_final
2019-10-12 10:45:18	ga_ls7e_ard_3-1-0_107072_2019-10-12_final
2019-10-12 10:48:06	ga_ls7e_ard_3-1-0_107079_2019-10-12_final
2019-10-16 10:23:36	ga_ls7e_ard_3-1-0_103080_2019-10-16_final
2019-10-23 10:25:06	ga_ls7e_ard_3-1-0_104069_2019-10-23_final
2019-10-26 09:19:47	ga_ls7e_ard_3-1-0_093076_2019-10-25_final
2019-10-26 09:21:47	ga_ls7e_ard_3-1-0_093081_2019-10-25_final
2019-10-28 10:47:25	ga_ls7e_ard_3-1-0_107079_2019-10-28_final
2019-11-17 10:22:11	ga_ls7e_ard_3-1-0_103080_2019-11-17_final
2019-11-21 09:55:17	ga_ls7e_ard_3-1-0_099075_2019-11-21_final
2019-11-24 10:26:02	ga_ls7e_ard_3-1-0_104075_2019-11-24_final
2019-11-24 10:27:14	ga_ls7e_ard_3-1-0_104078_2019-11-24_final
2019-11-27 09:21:06	ga_ls7e_ard_3-1-0_093083_2019-11-26_final
2019-12-13 09:16:43	ga_ls7e_ard_3-1-0_093074_2019-12-12_final
2019-12-13 09:18:43	ga_ls7e_ard_3-1-0_093079_2019-12-12_final
2019-12-13 09:20:19	ga_ls7e_ard_3-1-0_093083_2019-12-12_final
2019-12-14 10:00:44	ga_ls7e_ard_3-1-0_100076_2019-12-14_final
2019-12-23 09:52:53	ga_ls7e_ard_3-1-0_099073_2019-12-23_final
2019-12-26 10:23:14	ga_ls7e_ard_3-1-0_104072_2019-12-26_final
2019-12-30 10:01:06	ga_ls7e_ard_3-1-0_100079_2019-12-30_final
2020-01-08 09:52:27	ga_ls7e_ard_3-1-0_099074_2020-01-08_final
2020-01-15 09:57:54	ga_ls7e_ard_3-1-0_100073_2020-01-15_final
2020-01-15 10:01:29	ga_ls7e_ard_3-1-0_100082_2020-01-15_final
2020-01-16 10:43:54	ga_ls7e_ard_3-1-0_107080_2020-01-16_final
2020-01-30 09:19:53	ga_ls7e_ard_3-1-0_093088_2020-01-29_final
2020-01-31 09:59:30	ga_ls7e_ard_3-1-0_100079_2020-01-31_final
2020-02-05 10:18:11	ga_ls7e_ard_3-1-0_103080_2020-02-05_final
2020-02-12 10:20:25	ga_ls7e_ard_3-1-0_104071_2020-02-12_final
2020-02-16 09:56:17	ga_ls7e_ard_3-1-0_100073_2020-02-16_final
2020-03-02 09:12:37	ga_ls7e_ard_3-1-0_093074_2020-03-01_final
2020-03-08 10:14:06	ga_ls7e_ard_3-1-0_103074_2020-03-08_final
2020-03-19 09:56:57	ga_ls7e_ard_3-1-0_100079_2020-03-19_final
2020-03-20 10:36:34	ga_ls7e_ard_3-1-0_107070_2020-03-20_final
2020-03-20 10:39:21	ga_ls7e_ard_3-1-0_107077_2020-03-20_final
2020-03-20 10:40:09	ga_ls7e_ard_3-1-0_107079_2020-03-20_final
2020-04-03 09:10:51	ga_ls7e_ard_3-1-0_093074_2020-04-02_final
2020-04-13 09:51:21	ga_ls7e_ard_3-1-0_099084_2020-04-13_final
2020-04-16 10:18:05	ga_ls7e_ard_3-1-0_104074_2020-04-16_final
2022-03-15 08:22:01	ga_ls7e_ard_3-2-1_094076_2022-03-14_final
2022-03-20 08:41:40	ga_ls7e_ard_3-2-1_097080_2022-03-19_final
2022-03-23 09:11:05	ga_ls7e_ard_3-2-1_102077_2022-03-22_final
2022-03-23 09:12:17	ga_ls7e_ard_3-2-1_102080_2022-03-22_final
2022-03-25 09:00:32	ga_ls7e_ard_3-2-1_100082_2022-03-24_final
2022-03-27 08:49:11	ga_ls7e_ard_3-2-1_098085_2022-03-26_final
2022-03-29 08:35:50	ga_ls7e_ard_3-2-1_096083_2022-03-28_final
2022-03-30 09:17:00	ga_ls7e_ard_3-2-1_103078_2022-03-29_final
2022-03-31 09:57:22	ga_ls7e_ard_3-2-1_110071_2022-03-31_final
2022-04-02 08:08:20	ga_ls7e_ard_3-2-1_092077_2022-04-01_final
2022-04-04 09:32:15	ga_ls7e_ard_3-2-1_106071_2022-04-04_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