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
1999-08-21 11:29:07	ga_ls7e_ard_3-1-0_112084_1999-08-21_final
1999-10-20 10:13:47	ga_ls7e_ard_3-1-0_100081_1999-10-20_final
2000-02-09 10:13:37	ga_ls7e_ard_3-1-0_100081_2000-02-09_final
2000-02-24 11:09:08	ga_ls7e_ard_3-1-0_109081_2000-02-24_final
2000-04-28 09:32:21	ga_ls7e_ard_3-1-0_093087_2000-04-28_final
2000-12-09 10:11:14	ga_ls7e_ard_3-1-0_100081_2000-12-09_final
2001-09-10 09:01:30	ga_ls7e_ard_3-1-0_089081_2001-09-09_final
2001-11-22 10:29:46	ga_ls7e_ard_3-1-0_104070_2001-11-22_final
2001-12-12 10:09:32	ga_ls7e_ard_3-1-0_100081_2001-12-12_final
2002-04-09 11:07:55	ga_ls7e_ard_3-1-0_110072_2002-04-09_final
2002-08-24 11:04:35	ga_ls7e_ard_3-1-0_109081_2002-08-24_final
2002-09-05 09:48:21	ga_ls7e_ard_3-1-0_097076_2002-09-05_final
2002-10-02 11:06:49	ga_ls7e_ard_3-1-0_110072_2002-10-02_final
2002-11-28 11:04:44	ga_ls7e_ard_3-1-0_109081_2002-11-28_final
2003-01-16 10:09:20	ga_ls7e_ard_3-1-0_100081_2003-01-16_final
2003-02-20 09:04:47	ga_ls7e_ard_3-1-0_089089_2003-02-19_final
2003-03-12 10:13:26	ga_ls7e_ard_3-1-0_101075_2003-03-12_final
2004-02-07 09:02:01	ga_ls7e_ard_3-1-0_089081_2004-02-06_final
2004-12-23 09:05:23	ga_ls7e_ard_3-1-0_089089_2004-12-22_final
2005-05-07 09:10:18	ga_ls7e_ard_3-1-0_090085_2005-05-06_final
2005-12-03 10:30:49	ga_ls7e_ard_3-1-0_104070_2005-12-03_final
2006-01-23 09:29:58	ga_ls7e_ard_3-1-0_093087_2006-01-22_final
2006-09-11 11:08:40	ga_ls7e_ard_3-1-0_110072_2006-09-11_final
2006-10-13 09:35:39	ga_ls7e_ard_3-1-0_094087_2006-10-13_final
2006-10-18 09:49:53	ga_ls7e_ard_3-1-0_097076_2006-10-18_final
2006-11-11 09:02:48	ga_ls7e_ard_3-1-0_089081_2006-11-10_final
2006-11-20 10:31:13	ga_ls7e_ard_3-1-0_104070_2006-11-20_final
2007-03-03 09:06:36	ga_ls7e_ard_3-1-0_089089_2007-03-02_final
2007-05-06 09:03:20	ga_ls7e_ard_3-1-0_089081_2007-05-05_final
2007-11-14 09:03:01	ga_ls7e_ard_3-1-0_089081_2007-11-13_final
2008-01-04 11:09:28	ga_ls7e_ard_3-1-0_110072_2008-01-04_final
2008-01-29 11:06:51	ga_ls7e_ard_3-1-0_109081_2008-01-29_final
2008-04-18 11:06:38	ga_ls7e_ard_3-1-0_109081_2008-04-18_final
2008-08-15 11:08:16	ga_ls7e_ard_3-1-0_110072_2008-08-15_final
2008-11-03 11:08:05	ga_ls7e_ard_3-1-0_110072_2008-11-03_final
2009-05-02 09:11:06	ga_ls7e_ard_3-1-0_090085_2009-05-01_final
2009-09-28 11:06:39	ga_ls7e_ard_3-1-0_109081_2009-09-28_final
2009-12-01 11:07:19	ga_ls7e_ard_3-1-0_109081_2009-12-01_final
2010-03-08 10:09:00	ga_ls7e_ard_3-1-0_100071_2010-03-08_final
2010-10-21 09:05:21	ga_ls7e_ard_3-1-0_089081_2010-10-20_final
2012-07-06 09:07:34	ga_ls7e_ard_3-1-0_089081_2012-07-05_final
2012-12-25 11:12:40	ga_ls7e_ard_3-1-0_109081_2012-12-25_final
2013-02-11 09:36:14	ga_ls7e_ard_3-1-0_093087_2013-02-11_final
2013-09-30 09:34:01	ga_ls7e_ard_3-1-0_094067_2013-09-30_final
2016-02-11 11:20:58	ga_ls7e_ard_3-1-0_110072_2016-02-11_final
2016-03-30 11:21:16	ga_ls7e_ard_3-1-0_110072_2016-03-30_final
2016-04-05 10:43:24	ga_ls7e_ard_3-1-0_104070_2016-04-05_final
2016-06-24 10:43:47	ga_ls7e_ard_3-1-0_104070_2016-06-24_final
2016-10-08 11:21:52	ga_ls7e_ard_3-1-0_110072_2016-10-08_final
2017-02-22 11:18:32	ga_ls7e_ard_3-1-0_109081_2017-02-22_final
2017-05-08 09:23:09	ga_ls7e_ard_3-1-0_090085_2017-05-07_final
2018-01-08 11:18:35	ga_ls7e_ard_3-1-0_109081_2018-01-08_final
2018-01-20 10:02:15	ga_ls7e_ard_3-1-0_097076_2018-01-20_final
2018-06-30 10:40:39	ga_ls7e_ard_3-1-0_104070_2018-06-30_final
2018-12-01 11:15:13	ga_ls7e_ard_3-1-0_110072_2018-12-01_final
2018-12-14 09:08:40	ga_ls7e_ard_3-1-0_089081_2018-12-13_final
2019-02-16 09:08:43	ga_ls7e_ard_3-1-0_089086_2019-02-15_final
2019-02-18 10:32:47	ga_ls7e_ard_3-1-0_103080_2019-02-18_final
2019-03-26 10:01:43	ga_ls7e_ard_3-1-0_099067_2019-03-26_final
2019-03-26 10:06:54	ga_ls7e_ard_3-1-0_099080_2019-03-26_final
2019-03-28 09:53:40	ga_ls7e_ard_3-1-0_097078_2019-03-28_final
2019-08-27 08:59:14	ga_ls7e_ard_3-1-0_089080_2019-08-26_final
2019-09-05 10:27:33	ga_ls7e_ard_3-1-0_104070_2019-09-05_final
2019-09-12 08:57:20	ga_ls7e_ard_3-1-0_089077_2019-09-11_final
2019-09-27 11:27:11	ga_ls7e_ard_3-1-0_114067_2019-09-27_final
2019-10-10 09:20:28	ga_ls7e_ard_3-1-0_093076_2019-10-09_final
2019-10-10 10:57:21	ga_ls7e_ard_3-1-0_109071_2019-10-10_final
2019-10-13 11:31:43	ga_ls7e_ard_3-1-0_114080_2019-10-13_final
2019-10-16 10:23:36	ga_ls7e_ard_3-1-0_103080_2019-10-16_final
2019-10-17 11:04:50	ga_ls7e_ard_3-1-0_110075_2019-10-17_final
2019-10-20 09:53:32	ga_ls7e_ard_3-1-0_099067_2019-10-20_final
2019-10-30 08:58:29	ga_ls7e_ard_3-1-0_089085_2019-10-29_final
2019-10-31 11:16:11	ga_ls7e_ard_3-1-0_112074_2019-10-31_final
2019-11-07 09:46:46	ga_ls7e_ard_3-1-0_097083_2019-11-07_final
2019-11-08 10:28:47	ga_ls7e_ard_3-1-0_104080_2019-11-08_final
2019-11-21 09:52:53	ga_ls7e_ard_3-1-0_099069_2019-11-21_final
2019-12-04 09:24:33	ga_ls7e_ard_3-1-0_094077_2019-12-03_final
2019-12-25 09:40:02	ga_ls7e_ard_3-1-0_097072_2019-12-25_final
2019-12-25 09:44:25	ga_ls7e_ard_3-1-0_097083_2019-12-25_final
2019-12-25 09:44:49	ga_ls7e_ard_3-1-0_097084_2019-12-25_final
2019-12-29 10:55:59	ga_ls7e_ard_3-1-0_109077_2019-12-29_final
2020-01-04 10:18:11	ga_ls7e_ard_3-1-0_103076_2020-01-04_final
2020-01-10 09:38:48	ga_ls7e_ard_3-1-0_097071_2020-01-10_final
2020-01-14 09:16:41	ga_ls7e_ard_3-1-0_093078_2020-01-13_final
2020-01-15 09:59:29	ga_ls7e_ard_3-1-0_100077_2020-01-15_final
2020-01-26 11:18:05	ga_ls7e_ard_3-1-0_113074_2020-01-26_final
2020-01-26 11:22:05	ga_ls7e_ard_3-1-0_113084_2020-01-26_final
2020-02-01 10:41:54	ga_ls7e_ard_3-1-0_107077_2020-02-01_final
2020-02-05 10:14:11	ga_ls7e_ard_3-1-0_103070_2020-02-05_final
2020-02-05 10:18:11	ga_ls7e_ard_3-1-0_103080_2020-02-05_final
2020-02-15 09:17:04	ga_ls7e_ard_3-1-0_093083_2020-02-14_final
2020-02-16 09:57:05	ga_ls7e_ard_3-1-0_100075_2020-02-16_final
2020-02-17 10:39:53	ga_ls7e_ard_3-1-0_107074_2020-02-17_final
2020-03-09 09:22:25	ga_ls7e_ard_3-1-0_094084_2020-03-08_final
2020-03-25 10:53:38	ga_ls7e_ard_3-1-0_110067_2020-03-25_final
2020-03-29 08:57:23	ga_ls7e_ard_3-1-0_090086_2020-03-28_final
2020-03-30 09:34:12	ga_ls7e_ard_3-1-0_097070_2020-03-30_final
2020-03-30 09:35:48	ga_ls7e_ard_3-1-0_097074_2020-03-30_final
2020-04-15 11:17:21	ga_ls7e_ard_3-1-0_113083_2020-04-15_final
2020-04-19 09:10:20	ga_ls7e_ard_3-1-0_093075_2020-04-18_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