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
2002-08-25 10:10:08	ga_ls7e_ard_3-1-0_100084_2002-08-25_final
2004-01-02 09:28:56	ga_ls7e_ard_3-1-0_093087_2004-01-01_final
2004-04-04 10:30:29	ga_ls7e_ard_3-1-0_104070_2004-04-04_final
2004-09-27 10:29:49	ga_ls7e_ard_3-1-0_104070_2004-09-27_final
2005-12-19 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-12-19_final
2006-05-28 10:31:17	ga_ls7e_ard_3-1-0_104070_2006-05-28_final
2006-09-01 10:30:51	ga_ls7e_ard_3-1-0_104070_2006-09-01_final
2006-09-30 10:04:08	ga_ls7e_ard_3-1-0_099081_2006-09-30_final
2006-12-03 10:04:49	ga_ls7e_ard_3-1-0_099081_2006-12-03_final
2007-04-13 10:31:45	ga_ls7e_ard_3-1-0_104070_2007-04-13_final
2007-08-24 10:50:09	ga_ls7e_ard_3-1-0_107071_2007-08-24_final
2008-03-01 09:26:14	ga_ls7e_ard_3-1-0_093077_2008-02-29_final
2008-03-01 09:27:26	ga_ls7e_ard_3-1-0_093080_2008-02-29_final
2008-03-01 09:28:38	ga_ls7e_ard_3-1-0_093083_2008-02-29_final
2008-09-03 09:59:21	ga_ls7e_ard_3-1-0_099070_2008-09-03_final
2009-08-08 10:31:25	ga_ls7e_ard_3-1-0_104070_2009-08-08_final
2010-02-04 10:11:53	ga_ls7e_ard_3-1-0_100079_2010-02-04_final
2010-05-23 10:33:20	ga_ls7e_ard_3-1-0_104070_2010-05-23_final
2010-10-01 09:29:03	ga_ls7e_ard_3-1-0_093079_2010-09-30_final
2010-11-15 10:33:57	ga_ls7e_ard_3-1-0_104070_2010-11-15_final
2011-05-10 10:34:49	ga_ls7e_ard_3-1-0_104070_2011-05-10_final
2012-03-12 09:30:08	ga_ls7e_ard_3-1-0_093077_2012-03-12_final
2012-09-01 10:36:32	ga_ls7e_ard_3-1-0_104070_2012-09-01_final
2014-05-18 10:38:34	ga_ls7e_ard_3-1-0_104070_2014-05-18_final
2014-07-21 10:38:47	ga_ls7e_ard_3-1-0_104070_2014-07-21_final
2014-09-20 10:14:02	ga_ls7e_ard_3-1-0_099085_2014-09-20_final
2014-11-13 09:38:17	ga_ls7e_ard_3-1-0_093087_2014-11-13_final
2014-11-29 09:38:22	ga_ls7e_ard_3-1-0_093087_2014-11-29_final
2015-06-25 09:38:02	ga_ls7e_ard_3-1-0_093083_2015-06-25_final
2015-07-27 09:38:11	ga_ls7e_ard_3-1-0_093083_2015-07-27_final
2015-11-13 10:41:54	ga_ls7e_ard_3-1-0_104070_2015-11-13_final
2016-07-10 10:43:47	ga_ls7e_ard_3-1-0_104070_2016-07-10_final
2018-06-30 10:40:39	ga_ls7e_ard_3-1-0_104070_2018-06-30_final
2019-02-18 10:29:59	ga_ls7e_ard_3-1-0_103073_2019-02-18_final
2019-02-18 10:30:23	ga_ls7e_ard_3-1-0_103074_2019-02-18_final
2019-03-02 10:53:32	ga_ls7e_ard_3-1-0_107071_2019-03-02_final
2019-03-02 10:55:08	ga_ls7e_ard_3-1-0_107075_2019-03-02_final
2019-03-02 10:56:44	ga_ls7e_ard_3-1-0_107079_2019-03-02_final
2019-03-06 10:28:18	ga_ls7e_ard_3-1-0_103070_2019-03-06_final
2019-03-06 10:29:29	ga_ls7e_ard_3-1-0_103073_2019-03-06_final
2019-03-29 10:35:18	ga_ls7e_ard_3-1-0_104074_2019-03-29_final
2019-06-20 09:27:52	ga_ls7e_ard_3-1-0_093083_2019-06-19_final
2019-08-25 10:48:58	ga_ls7e_ard_3-1-0_107076_2019-08-25_final
2019-08-25 10:51:21	ga_ls7e_ard_3-1-0_107082_2019-08-25_final
2019-08-29 10:21:17	ga_ls7e_ard_3-1-0_103069_2019-08-29_final
2019-09-09 10:07:27	ga_ls7e_ard_3-1-0_100082_2019-09-09_final
2019-09-26 10:47:57	ga_ls7e_ard_3-1-0_107077_2019-09-26_final
2019-10-12 10:47:18	ga_ls7e_ard_3-1-0_107077_2019-10-12_final
2019-10-16 10:23:36	ga_ls7e_ard_3-1-0_103080_2019-10-16_final
2019-10-26 09:21:47	ga_ls7e_ard_3-1-0_093081_2019-10-25_final
2019-10-26 09:22:34	ga_ls7e_ard_3-1-0_093083_2019-10-25_final
2019-10-26 09:22:58	ga_ls7e_ard_3-1-0_093084_2019-10-25_final
2019-10-27 10:06:11	ga_ls7e_ard_3-1-0_100084_2019-10-27_final
2019-10-28 10:46:37	ga_ls7e_ard_3-1-0_107077_2019-10-28_final
2019-10-28 10:47:49	ga_ls7e_ard_3-1-0_107080_2019-10-28_final
2019-11-08 10:24:47	ga_ls7e_ard_3-1-0_104070_2019-11-08_final
2019-11-11 09:23:03	ga_ls7e_ard_3-1-0_093086_2019-11-10_final
2019-11-12 10:01:05	ga_ls7e_ard_3-1-0_100073_2019-11-12_final
2019-11-12 10:03:52	ga_ls7e_ard_3-1-0_100080_2019-11-12_final
2019-11-12 10:04:16	ga_ls7e_ard_3-1-0_100081_2019-11-12_final
2019-11-17 10:22:11	ga_ls7e_ard_3-1-0_103080_2019-11-17_final
2019-11-24 10:27:38	ga_ls7e_ard_3-1-0_104079_2019-11-24_final
2019-12-03 10:17:01	ga_ls7e_ard_3-1-0_103069_2019-12-03_final
2019-12-10 10:24:51	ga_ls7e_ard_3-1-0_104074_2019-12-10_final
2019-12-13 09:18:43	ga_ls7e_ard_3-1-0_093079_2019-12-12_final
2019-12-14 10:02:19	ga_ls7e_ard_3-1-0_100080_2019-12-14_final
2019-12-29 09:17:30	ga_ls7e_ard_3-1-0_093078_2019-12-28_final
2019-12-29 09:19:29	ga_ls7e_ard_3-1-0_093083_2019-12-28_final
2019-12-31 10:43:31	ga_ls7e_ard_3-1-0_107077_2019-12-31_final
2020-01-04 10:18:11	ga_ls7e_ard_3-1-0_103076_2020-01-04_final
2020-01-14 09:16:17	ga_ls7e_ard_3-1-0_093077_2020-01-13_final
2020-01-15 09:57:54	ga_ls7e_ard_3-1-0_100073_2020-01-15_final
2020-01-15 10:01:05	ga_ls7e_ard_3-1-0_100081_2020-01-15_final
2020-02-05 10:14:35	ga_ls7e_ard_3-1-0_103071_2020-02-05_final
2020-02-05 10:16:59	ga_ls7e_ard_3-1-0_103077_2020-02-05_final
2020-02-09 09:53:39	ga_ls7e_ard_3-1-0_099081_2020-02-09_final
2020-02-28 10:21:58	ga_ls7e_ard_3-1-0_104077_2020-02-28_final
2020-03-02 09:15:49	ga_ls7e_ard_3-1-0_093082_2020-03-01_final
2020-03-18 09:12:57	ga_ls7e_ard_3-1-0_093077_2020-03-17_final
2020-03-20 10:37:46	ga_ls7e_ard_3-1-0_107073_2020-03-20_final
2020-03-20 10:40:57	ga_ls7e_ard_3-1-0_107081_2020-03-20_final
2020-04-05 10:38:27	ga_ls7e_ard_3-1-0_107077_2020-04-05_final
2022-03-14 09:16:32	ga_ls7e_ard_3-2-1_103073_2022-03-13_final
2022-03-14 09:17:44	ga_ls7e_ard_3-2-1_103076_2022-03-13_final
2022-03-18 10:31:29	ga_ls7e_ard_3-2-1_115076_2022-03-18_final
2022-03-18 10:32:41	ga_ls7e_ard_3-2-1_115079_2022-03-18_final
2022-03-19 09:34:35	ga_ls7e_ard_3-2-1_106073_2022-03-19_final
2022-03-19 09:34:59	ga_ls7e_ard_3-2-1_106074_2022-03-19_final
2022-03-19 09:37:22	ga_ls7e_ard_3-2-1_106080_2022-03-19_final
2022-03-22 08:29:55	ga_ls7e_ard_3-2-1_095082_2022-03-21_final
2022-03-24 09:55:51	ga_ls7e_ard_3-2-1_109081_2022-03-24_final
2022-03-27 08:44:00	ga_ls7e_ard_3-2-1_098072_2022-03-26_final
2022-03-27 10:25:40	ga_ls7e_ard_3-2-1_114079_2022-03-27_final
2022-04-02 09:47:12	ga_ls7e_ard_3-2-1_108077_2022-04-02_final
2022-04-04 07:56:10	ga_ls7e_ard_3-2-1_090078_2022-04-03_final
2022-04-04 09:33:03	ga_ls7e_ard_3-2-1_106073_2022-04-04_final
2022-04-05 08:36:32	ga_ls7e_ard_3-2-1_097071_2022-04-04_final
2022-04-05 08:40:08	ga_ls7e_ard_3-2-1_097080_2022-04-04_final
2022-04-06 09:20:53	ga_ls7e_ard_3-2-1_104074_2022-04-05_final
2022-04-06 09:22:05	ga_ls7e_ard_3-2-1_104077_2022-04-05_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