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
2004-03-22 09:27:43	ga_ls7e_ard_3-1-0_093083_2004-03-21_final
2004-11-30 10:30:20	ga_ls7e_ard_3-1-0_104070_2004-11-30_final
2004-12-05 10:49:19	ga_ls7e_ard_3-1-0_107071_2004-12-05_final
2005-04-23 10:34:22	ga_ls7e_ard_3-1-0_104079_2005-04-23_final
2005-08-29 10:34:03	ga_ls7e_ard_3-1-0_104079_2005-08-29_final
2006-05-28 10:34:53	ga_ls7e_ard_3-1-0_104079_2006-05-28_final
2006-06-29 10:34:44	ga_ls7e_ard_3-1-0_104079_2006-06-29_final
2006-10-03 10:30:38	ga_ls7e_ard_3-1-0_104070_2006-10-03_final
2006-12-19 10:01:19	ga_ls7e_ard_3-1-0_099072_2006-12-19_final
2007-09-23 09:28:13	ga_ls7e_ard_3-1-0_093083_2007-09-22_final
2008-05-22 10:50:31	ga_ls7e_ard_3-1-0_107072_2008-05-22_final
2008-07-09 10:50:02	ga_ls7e_ard_3-1-0_107072_2008-07-09_final
2009-04-02 10:31:30	ga_ls7e_ard_3-1-0_104070_2009-04-02_final
2009-05-23 09:30:28	ga_ls7e_ard_3-1-0_093087_2009-05-23_final
2009-08-11 09:28:36	ga_ls7e_ard_3-1-0_093083_2009-08-10_final
2009-08-27 09:29:48	ga_ls7e_ard_3-1-0_093086_2009-08-26_final
2009-12-30 10:32:29	ga_ls7e_ard_3-1-0_104070_2009-12-30_final
2010-03-23 09:30:12	ga_ls7e_ard_3-1-0_093082_2010-03-23_final
2010-03-23 09:30:36	ga_ls7e_ard_3-1-0_093083_2010-03-23_final
2010-10-01 09:27:27	ga_ls7e_ard_3-1-0_093075_2010-09-30_final
2010-12-20 09:29:53	ga_ls7e_ard_3-1-0_093079_2010-12-19_final
2011-02-22 09:29:55	ga_ls7e_ard_3-1-0_093078_2011-02-21_final
2011-03-26 09:32:00	ga_ls7e_ard_3-1-0_093083_2011-03-26_final
2011-05-29 09:30:02	ga_ls7e_ard_3-1-0_093078_2011-05-29_final
2011-07-13 10:34:45	ga_ls7e_ard_3-1-0_104070_2011-07-13_final
2012-03-12 09:34:07	ga_ls7e_ard_3-1-0_093087_2012-03-12_final
2012-04-13 09:34:05	ga_ls7e_ard_3-1-0_093087_2012-04-13_final
2012-04-26 10:35:33	ga_ls7e_ard_3-1-0_104070_2012-04-26_final
2012-09-17 10:36:40	ga_ls7e_ard_3-1-0_104070_2012-09-17_final
2012-10-22 09:34:14	ga_ls7e_ard_3-1-0_093083_2012-10-22_final
2013-01-23 10:41:00	ga_ls7e_ard_3-1-0_104079_2013-01-23_final
2014-04-16 10:38:19	ga_ls7e_ard_3-1-0_104070_2014-04-16_final
2017-02-22 09:40:27	ga_ls7e_ard_3-1-0_093083_2017-02-22_final
2017-04-11 09:40:44	ga_ls7e_ard_3-1-0_093083_2017-04-11_final
2017-08-17 09:41:02	ga_ls7e_ard_3-1-0_093083_2017-08-17_final
2017-09-18 09:41:00	ga_ls7e_ard_3-1-0_093083_2017-09-18_final
2018-03-26 10:42:17	ga_ls7e_ard_3-1-0_104070_2018-03-26_final
2018-03-29 09:41:03	ga_ls7e_ard_3-1-0_093087_2018-03-29_final
2019-01-08 10:36:14	ga_ls7e_ard_3-1-0_104070_2019-01-08_final
2019-01-24 10:39:19	ga_ls7e_ard_3-1-0_104079_2019-01-24_final
2019-02-28 09:29:04	ga_ls7e_ard_3-1-0_093076_2019-02-27_final
2019-02-28 09:29:52	ga_ls7e_ard_3-1-0_093078_2019-02-27_final
2019-03-02 10:53:56	ga_ls7e_ard_3-1-0_107072_2019-03-02_final
2019-03-10 10:04:38	ga_ls7e_ard_3-1-0_099073_2019-03-10_final
2019-03-10 10:05:26	ga_ls7e_ard_3-1-0_099075_2019-03-10_final
2019-03-26 10:08:06	ga_ls7e_ard_3-1-0_099083_2019-03-26_final
2019-04-17 09:30:15	ga_ls7e_ard_3-1-0_093083_2019-04-17_final
2019-05-13 10:07:08	ga_ls7e_ard_3-1-0_099085_2019-05-13_final
2019-09-24 09:20:43	ga_ls7e_ard_3-1-0_093075_2019-09-23_final
2019-09-24 09:23:55	ga_ls7e_ard_3-1-0_093083_2019-09-23_final
2019-09-24 09:25:55	ga_ls7e_ard_3-1-0_093088_2019-09-23_final
2019-09-26 10:47:33	ga_ls7e_ard_3-1-0_107076_2019-09-26_final
2019-09-26 10:48:45	ga_ls7e_ard_3-1-0_107079_2019-09-26_final
2019-09-26 10:49:57	ga_ls7e_ard_3-1-0_107082_2019-09-26_final
2019-10-04 09:55:00	ga_ls7e_ard_3-1-0_099069_2019-10-04_final
2019-10-10 09:22:51	ga_ls7e_ard_3-1-0_093082_2019-10-09_final
2019-10-12 10:47:42	ga_ls7e_ard_3-1-0_107078_2019-10-12_final
2019-10-26 09:22:34	ga_ls7e_ard_3-1-0_093083_2019-10-25_final
2019-11-21 09:54:05	ga_ls7e_ard_3-1-0_099072_2019-11-21_final
2019-11-21 09:55:17	ga_ls7e_ard_3-1-0_099075_2019-11-21_final
2019-11-27 09:20:42	ga_ls7e_ard_3-1-0_093082_2019-11-26_final
2019-11-29 10:43:32	ga_ls7e_ard_3-1-0_107073_2019-11-29_final
2019-11-29 10:45:56	ga_ls7e_ard_3-1-0_107079_2019-11-29_final
2019-12-13 09:17:07	ga_ls7e_ard_3-1-0_093075_2019-12-12_final
2019-12-13 09:17:55	ga_ls7e_ard_3-1-0_093077_2019-12-12_final
2019-12-13 09:20:19	ga_ls7e_ard_3-1-0_093083_2019-12-12_final
2019-12-13 09:20:43	ga_ls7e_ard_3-1-0_093084_2019-12-12_final
2019-12-15 10:45:08	ga_ls7e_ard_3-1-0_107079_2019-12-15_final
2019-12-23 09:50:30	ga_ls7e_ard_3-1-0_099067_2019-12-23_final
2019-12-29 09:16:42	ga_ls7e_ard_3-1-0_093076_2019-12-28_final
2019-12-29 09:20:41	ga_ls7e_ard_3-1-0_093086_2019-12-28_final
2019-12-31 10:44:19	ga_ls7e_ard_3-1-0_107079_2019-12-31_final
2020-01-08 09:54:27	ga_ls7e_ard_3-1-0_099079_2020-01-08_final
2020-01-16 10:43:30	ga_ls7e_ard_3-1-0_107079_2020-01-16_final
2020-01-30 09:15:53	ga_ls7e_ard_3-1-0_093078_2020-01-29_final
2020-01-30 09:17:05	ga_ls7e_ard_3-1-0_093081_2020-01-29_final
2020-01-30 09:17:29	ga_ls7e_ard_3-1-0_093082_2020-01-29_final
2020-01-30 09:17:53	ga_ls7e_ard_3-1-0_093083_2020-01-29_final
2020-02-01 10:42:42	ga_ls7e_ard_3-1-0_107079_2020-02-01_final
2020-02-17 10:41:29	ga_ls7e_ard_3-1-0_107078_2020-02-17_final
2020-03-02 09:15:25	ga_ls7e_ard_3-1-0_093081_2020-03-01_final
2020-03-02 09:15:49	ga_ls7e_ard_3-1-0_093082_2020-03-01_final
2020-03-12 09:48:22	ga_ls7e_ard_3-1-0_099072_2020-03-12_final
2020-04-03 09:12:27	ga_ls7e_ard_3-1-0_093078_2020-04-02_final
2020-04-03 09:16:03	ga_ls7e_ard_3-1-0_093087_2020-04-02_final
2020-04-05 10:36:28	ga_ls7e_ard_3-1-0_107072_2020-04-05_final
2020-04-13 09:48:33	ga_ls7e_ard_3-1-0_099077_2020-04-13_final
2020-04-21 10:34:44	ga_ls7e_ard_3-1-0_107070_2020-04-21_final
2020-04-29 09:45:37	ga_ls7e_ard_3-1-0_099072_2020-04-29_final
2022-03-14 09:15:45	ga_ls7e_ard_3-2-1_103071_2022-03-13_final
2022-03-19 09:36:34	ga_ls7e_ard_3-2-1_106078_2022-03-19_final
2022-03-20 10:18:09	ga_ls7e_ard_3-2-1_113074_2022-03-20_final
2022-03-22 08:26:43	ga_ls7e_ard_3-2-1_095074_2022-03-21_final
2022-03-24 08:19:22	ga_ls7e_ard_3-2-1_093087_2022-03-23_final
2022-03-26 08:07:37	ga_ls7e_ard_3-2-1_091089_2022-03-25_final
2022-03-29 10:15:07	ga_ls7e_ard_3-2-1_112084_2022-03-29_final
2022-03-31 10:01:22	ga_ls7e_ard_3-2-1_110081_2022-03-31_final
2022-04-02 09:45:37	ga_ls7e_ard_3-2-1_108073_2022-04-02_final
2022-04-04 09:35:03	ga_ls7e_ard_3-2-1_106078_2022-04-04_final
2022-04-05 08:40:55	ga_ls7e_ard_3-2-1_097082_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