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
2000-04-28 09:32:21	ga_ls7e_ard_3-1-0_093087_2000-04-28_final
2001-01-22 10:31:45	ga_ls7e_ard_3-1-0_104070_2001-01-22_final
2001-04-12 10:31:20	ga_ls7e_ard_3-1-0_104070_2001-04-12_final
2002-01-06 10:01:01	ga_ls7e_ard_3-1-0_099075_2002-01-06_final
2002-01-09 10:29:59	ga_ls7e_ard_3-1-0_104070_2002-01-09_final
2002-12-27 10:29:34	ga_ls7e_ard_3-1-0_104070_2002-12-27_final
2005-04-01 09:34:16	ga_ls7e_ard_3-1-0_094083_2005-04-01_final
2005-08-17 10:10:13	ga_ls7e_ard_3-1-0_100081_2005-08-17_final
2005-09-30 10:33:53	ga_ls7e_ard_3-1-0_104079_2005-09-30_final
2007-01-16 10:30:03	ga_ls7e_ard_3-1-0_103082_2007-01-16_final
2007-07-21 09:28:36	ga_ls7e_ard_3-1-0_093083_2007-07-20_final
2008-03-01 09:28:14	ga_ls7e_ard_3-1-0_093082_2008-02-29_final
2009-05-04 10:35:14	ga_ls7e_ard_3-1-0_104079_2009-05-04_final
2010-06-27 09:30:13	ga_ls7e_ard_3-1-0_093082_2010-06-27_final
2011-01-21 09:30:10	ga_ls7e_ard_3-1-0_093079_2011-01-21_final
2011-05-13 09:30:01	ga_ls7e_ard_3-1-0_093078_2011-05-13_final
2011-08-14 10:38:13	ga_ls7e_ard_3-1-0_104079_2011-08-14_final
2012-01-05 10:35:15	ga_ls7e_ard_3-1-0_104070_2012-01-05_final
2012-02-26 10:15:02	ga_ls7e_ard_3-1-0_100081_2012-02-26_final
2012-05-06 09:39:11	ga_ls7e_ard_3-1-0_094083_2012-05-06_final
2013-01-11 10:17:03	ga_ls7e_ard_3-1-0_100081_2013-01-11_final
2013-01-27 10:17:06	ga_ls7e_ard_3-1-0_100081_2013-01-27_final
2013-02-02 09:40:49	ga_ls7e_ard_3-1-0_094083_2013-02-02_final
2013-10-25 09:34:30	ga_ls7e_ard_3-1-0_093083_2013-10-25_final
2013-11-11 10:17:04	ga_ls7e_ard_3-1-0_100081_2013-11-11_final
2013-12-28 09:34:51	ga_ls7e_ard_3-1-0_093083_2013-12-28_final
2014-03-15 10:38:05	ga_ls7e_ard_3-1-0_104070_2014-03-15_final
2014-04-04 10:17:53	ga_ls7e_ard_3-1-0_100081_2014-04-04_final
2014-10-12 09:36:23	ga_ls7e_ard_3-1-0_093083_2014-10-12_final
2015-04-19 10:40:27	ga_ls7e_ard_3-1-0_104070_2015-04-19_final
2016-01-16 10:42:52	ga_ls7e_ard_3-1-0_104070_2016-01-16_final
2016-02-17 10:43:06	ga_ls7e_ard_3-1-0_104070_2016-02-17_final
2016-02-21 10:22:46	ga_ls7e_ard_3-1-0_100081_2016-02-21_final
2017-04-12 10:23:13	ga_ls7e_ard_3-1-0_100081_2017-04-12_final
2018-01-05 10:43:20	ga_ls7e_ard_3-1-0_104070_2018-01-05_final
2018-04-05 09:45:31	ga_ls7e_ard_3-1-0_094083_2018-04-05_final
2019-02-22 10:05:09	ga_ls7e_ard_3-1-0_099073_2019-02-22_final
2019-02-25 10:34:45	ga_ls7e_ard_3-1-0_104070_2019-02-25_final
2019-03-01 10:13:30	ga_ls7e_ard_3-1-0_100079_2019-03-01_final
2019-03-06 10:31:53	ga_ls7e_ard_3-1-0_103079_2019-03-06_final
2019-03-13 10:37:26	ga_ls7e_ard_3-1-0_104078_2019-03-13_final
2019-03-29 10:36:54	ga_ls7e_ard_3-1-0_104078_2019-03-29_final
2019-04-14 10:33:09	ga_ls7e_ard_3-1-0_104070_2019-04-14_final
2019-04-17 09:29:51	ga_ls7e_ard_3-1-0_093082_2019-04-16_final
2019-07-23 10:09:03	ga_ls7e_ard_3-1-0_100081_2019-07-23_final
2019-08-29 10:23:40	ga_ls7e_ard_3-1-0_103075_2019-08-29_final
2019-09-05 10:31:56	ga_ls7e_ard_3-1-0_104081_2019-09-05_final
2019-09-09 10:07:03	ga_ls7e_ard_3-1-0_100081_2019-09-09_final
2019-09-18 10:00:28	ga_ls7e_ard_3-1-0_099081_2019-09-18_final
2019-09-21 10:29:38	ga_ls7e_ard_3-1-0_104077_2019-09-21_final
2019-09-24 09:23:31	ga_ls7e_ard_3-1-0_093082_2019-09-23_final
2019-09-25 10:06:20	ga_ls7e_ard_3-1-0_100081_2019-09-25_final
2019-10-04 09:57:00	ga_ls7e_ard_3-1-0_099074_2019-10-04_final
2019-10-04 09:57:47	ga_ls7e_ard_3-1-0_099076_2019-10-04_final
2019-10-07 10:29:22	ga_ls7e_ard_3-1-0_104078_2019-10-07_final
2019-10-07 10:29:46	ga_ls7e_ard_3-1-0_104079_2019-10-07_final
2019-10-10 09:21:40	ga_ls7e_ard_3-1-0_093079_2019-10-09_final
2019-10-16 10:21:13	ga_ls7e_ard_3-1-0_103074_2019-10-16_final
2019-10-17 09:26:45	ga_ls7e_ard_3-1-0_094077_2019-10-16_final
2019-10-26 09:22:10	ga_ls7e_ard_3-1-0_093082_2019-10-25_final
2019-11-01 10:20:55	ga_ls7e_ard_3-1-0_103075_2019-11-01_final
2019-11-02 09:26:51	ga_ls7e_ard_3-1-0_094079_2019-11-01_final
2019-11-08 10:25:11	ga_ls7e_ard_3-1-0_104071_2019-11-08_final
2019-11-11 09:20:40	ga_ls7e_ard_3-1-0_093080_2019-11-10_final
2019-12-07 09:53:42	ga_ls7e_ard_3-1-0_099073_2019-12-07_final
2019-12-20 09:24:32	ga_ls7e_ard_3-1-0_094079_2019-12-19_final
2020-01-14 09:18:16	ga_ls7e_ard_3-1-0_093082_2020-01-13_final
2020-01-21 09:22:55	ga_ls7e_ard_3-1-0_094079_2020-01-20_final
2020-02-12 10:22:00	ga_ls7e_ard_3-1-0_104075_2020-02-12_final
2020-02-12 10:23:36	ga_ls7e_ard_3-1-0_104079_2020-02-12_final
2020-02-12 10:24:00	ga_ls7e_ard_3-1-0_104080_2020-02-12_final
2020-02-28 10:23:33	ga_ls7e_ard_3-1-0_104081_2020-02-28_final
2020-03-15 10:21:53	ga_ls7e_ard_3-1-0_104079_2020-03-15_final
2020-03-19 09:56:57	ga_ls7e_ard_3-1-0_100079_2020-03-19_final
2020-03-25 09:18:44	ga_ls7e_ard_3-1-0_094077_2020-03-24_final
2020-03-28 09:49:04	ga_ls7e_ard_3-1-0_099076_2020-03-28_final
2020-04-03 09:12:03	ga_ls7e_ard_3-1-0_093077_2020-04-02_final
2020-04-04 09:53:39	ga_ls7e_ard_3-1-0_100073_2020-04-04_final
2020-04-13 09:47:45	ga_ls7e_ard_3-1-0_099075_2020-04-13_final
2020-04-16 10:16:05	ga_ls7e_ard_3-1-0_104069_2020-04-16_final
2020-04-19 09:11:31	ga_ls7e_ard_3-1-0_093078_2020-04-18_final
2020-04-19 09:12:43	ga_ls7e_ard_3-1-0_093081_2020-04-18_final
2020-04-19 09:13:07	ga_ls7e_ard_3-1-0_093082_2020-04-18_final
2020-04-20 09:52:44	ga_ls7e_ard_3-1-0_100073_2020-04-20_final
2020-04-21 10:39:31	ga_ls7e_ard_3-1-0_107082_2020-04-21_final
2020-04-25 10:10:11	ga_ls7e_ard_3-1-0_103071_2020-04-25_final
2020-04-29 09:46:01	ga_ls7e_ard_3-1-0_099073_2020-04-29_final
2020-04-29 09:46:25	ga_ls7e_ard_3-1-0_099074_2020-04-29_final
2022-03-15 10:01:42	ga_ls7e_ard_3-2-1_110078_2022-03-15_final
2022-03-15 10:02:29	ga_ls7e_ard_3-2-1_110080_2022-03-15_final
2022-03-18 08:51:48	ga_ls7e_ard_3-2-1_099074_2022-03-17_final
2022-03-21 09:22:50	ga_ls7e_ard_3-2-1_104075_2022-03-20_final
2022-03-24 09:55:03	ga_ls7e_ard_3-2-1_109079_2022-03-24_final
2022-03-25 08:56:56	ga_ls7e_ard_3-2-1_100073_2022-03-24_final
2022-03-29 08:33:26	ga_ls7e_ard_3-2-1_096077_2022-03-28_final
2022-03-29 08:35:02	ga_ls7e_ard_3-2-1_096081_2022-03-28_final
2022-03-29 10:13:31	ga_ls7e_ard_3-2-1_112080_2022-03-29_final
2022-03-30 09:13:49	ga_ls7e_ard_3-2-1_103070_2022-03-29_final
2022-03-31 08:23:17	ga_ls7e_ard_3-2-1_094083_2022-03-30_final
2022-04-04 07:56:58	ga_ls7e_ard_3-2-1_090080_2022-04-03_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