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
1999-07-26 09:14:44	ga_ls7e_ard_3-1-0_090088_1999-07-25_final
2001-09-13 11:07:39	ga_ls7e_ard_3-1-0_110072_2001-09-13_final
2002-08-08 09:28:12	ga_ls7e_ard_3-1-0_093087_2002-08-07_final
2002-11-23 09:07:14	ga_ls7e_ard_3-1-0_090081_2002-11-22_final
2002-12-09 09:08:56	ga_ls7e_ard_3-1-0_090085_2002-12-08_final
2003-01-03 09:01:15	ga_ls7e_ard_3-1-0_089081_2003-01-02_final
2003-08-02 11:07:32	ga_ls7e_ard_3-1-0_110072_2003-08-02_final
2003-08-18 11:07:31	ga_ls7e_ard_3-1-0_110072_2003-08-18_final
2003-11-10 09:09:11	ga_ls7e_ard_3-1-0_090085_2003-11-09_final
2004-08-17 09:04:54	ga_ls7e_ard_3-1-0_089089_2004-08-16_final
2005-02-05 09:29:32	ga_ls7e_ard_3-1-0_093087_2005-02-04_final
2005-07-10 09:10:07	ga_ls7e_ard_3-1-0_090085_2005-07-09_final
2005-10-26 09:29:54	ga_ls7e_ard_3-1-0_094073_2005-10-25_final
2006-02-15 11:13:57	ga_ls7e_ard_3-1-0_110084_2006-02-15_final
2006-07-15 10:31:01	ga_ls7e_ard_3-1-0_104070_2006-07-15_final
2006-07-25 11:08:48	ga_ls7e_ard_3-1-0_110072_2006-07-25_final
2006-08-25 10:29:29	ga_ls7e_ard_3-1-0_103082_2006-08-25_final
2006-10-26 09:02:34	ga_ls7e_ard_3-1-0_089081_2006-10-25_final
2007-01-05 09:10:54	ga_ls7e_ard_3-1-0_090085_2007-01-04_final
2007-06-30 09:10:56	ga_ls7e_ard_3-1-0_090085_2007-06-29_final
2007-08-29 09:28:10	ga_ls7e_ard_3-1-0_094067_2007-08-28_final
2007-08-29 11:09:03	ga_ls7e_ard_3-1-0_110072_2007-08-29_final
2007-11-10 09:30:06	ga_ls7e_ard_3-1-0_093087_2007-11-10_final
2007-11-17 11:09:14	ga_ls7e_ard_3-1-0_110072_2007-11-17_final
2008-04-18 09:30:09	ga_ls7e_ard_3-1-0_093087_2008-04-18_final
2008-05-30 10:05:48	ga_ls7e_ard_3-1-0_099084_2008-05-30_final
2008-12-19 11:25:47	ga_ls7e_ard_3-1-0_112084_2008-12-19_final
2009-04-12 09:28:33	ga_ls7e_ard_3-1-0_094067_2009-04-11_final
2009-04-12 11:09:26	ga_ls7e_ard_3-1-0_110072_2009-04-12_final
2009-05-30 11:09:33	ga_ls7e_ard_3-1-0_110072_2009-05-30_final
2009-09-01 11:26:26	ga_ls7e_ard_3-1-0_112084_2009-09-01_final
2009-10-21 09:28:28	ga_ls7e_ard_3-1-0_094067_2009-10-20_final
2009-12-14 10:32:12	ga_ls7e_ard_3-1-0_104070_2009-12-14_final
2010-10-24 11:11:34	ga_ls7e_ard_3-1-0_110072_2010-10-24_final
2011-05-29 09:30:02	ga_ls7e_ard_3-1-0_093078_2011-05-29_final
2011-08-24 09:31:37	ga_ls7e_ard_3-1-0_094067_2011-08-24_final
2012-04-20 09:32:22	ga_ls7e_ard_3-1-0_094067_2012-04-20_final
2012-10-22 09:35:50	ga_ls7e_ard_3-1-0_093087_2012-10-22_final
2013-07-16 09:16:04	ga_ls7e_ard_3-1-0_090085_2013-07-15_final
2013-11-01 11:15:10	ga_ls7e_ard_3-1-0_110072_2013-11-01_final
2014-07-12 09:13:38	ga_ls7e_ard_3-1-0_089089_2014-07-11_final
2014-10-19 11:17:08	ga_ls7e_ard_3-1-0_110072_2014-10-19_final
2015-08-19 09:38:05	ga_ls7e_ard_3-1-0_094067_2015-08-19_final
2015-12-06 09:13:55	ga_ls7e_ard_3-1-0_089081_2015-12-05_final
2016-11-13 09:23:15	ga_ls7e_ard_3-1-0_090085_2016-11-12_final
2017-05-04 11:21:34	ga_ls7e_ard_3-1-0_110072_2017-05-04_final
2017-12-23 09:42:18	ga_ls7e_ard_3-1-0_093087_2017-12-23_final
2018-03-24 09:21:47	ga_ls7e_ard_3-1-0_090085_2018-03-23_final
2018-11-15 11:15:37	ga_ls7e_ard_3-1-0_110072_2018-11-15_final
2019-01-15 09:09:42	ga_ls7e_ard_3-1-0_089086_2019-01-14_final
2019-02-19 11:14:49	ga_ls7e_ard_3-1-0_110077_2019-02-19_final
2019-03-02 10:54:44	ga_ls7e_ard_3-1-0_107074_2019-03-02_final
2019-03-07 11:11:31	ga_ls7e_ard_3-1-0_110070_2019-03-07_final
2019-03-17 10:10:11	ga_ls7e_ard_3-1-0_100072_2019-03-17_final
2019-03-17 10:14:59	ga_ls7e_ard_3-1-0_100084_2019-03-17_final
2019-03-23 11:14:59	ga_ls7e_ard_3-1-0_110080_2019-03-23_final
2019-03-27 09:14:50	ga_ls7e_ard_3-1-0_090089_2019-03-26_final
2019-05-24 11:26:39	ga_ls7e_ard_3-1-0_112084_2019-05-24_final
2019-09-15 11:04:59	ga_ls7e_ard_3-1-0_110072_2019-09-15_final
2019-09-19 09:06:48	ga_ls7e_ard_3-1-0_090086_2019-09-18_final
2019-09-19 09:08:00	ga_ls7e_ard_3-1-0_090089_2019-09-18_final
2019-09-26 10:45:10	ga_ls7e_ard_3-1-0_107070_2019-09-26_final
2019-09-26 10:47:09	ga_ls7e_ard_3-1-0_107075_2019-09-26_final
2019-10-04 09:54:36	ga_ls7e_ard_3-1-0_099068_2019-10-04_final
2019-10-05 09:06:55	ga_ls7e_ard_3-1-0_090088_2019-10-04_final
2019-10-05 09:07:43	ga_ls7e_ard_3-1-0_090090_2019-10-04_final
2019-10-07 10:25:23	ga_ls7e_ard_3-1-0_104068_2019-10-07_final
2019-10-28 10:46:13	ga_ls7e_ard_3-1-0_107076_2019-10-28_final
2019-10-28 10:49:00	ga_ls7e_ard_3-1-0_107083_2019-10-28_final
2019-11-08 10:25:59	ga_ls7e_ard_3-1-0_104073_2019-11-08_final
2019-11-15 08:55:21	ga_ls7e_ard_3-1-0_089079_2019-11-14_final
2019-11-15 08:56:09	ga_ls7e_ard_3-1-0_089081_2019-11-14_final
2019-11-18 09:23:43	ga_ls7e_ard_3-1-0_094073_2019-11-17_final
2019-11-18 11:02:12	ga_ls7e_ard_3-1-0_110072_2019-11-18_final
2019-11-22 09:02:24	ga_ls7e_ard_3-1-0_090082_2019-11-21_final
2019-11-23 11:22:54	ga_ls7e_ard_3-1-0_113078_2019-11-23_final
2019-12-03 10:20:13	ga_ls7e_ard_3-1-0_103077_2019-12-03_final
2019-12-07 09:58:05	ga_ls7e_ard_3-1-0_099084_2019-12-07_final
2019-12-15 10:45:08	ga_ls7e_ard_3-1-0_107079_2019-12-15_final
2019-12-20 11:01:02	ga_ls7e_ard_3-1-0_110073_2019-12-20_final
2019-12-24 09:04:00	ga_ls7e_ard_3-1-0_090090_2019-12-23_final
2019-12-31 10:41:31	ga_ls7e_ard_3-1-0_107072_2019-12-31_final
2020-01-14 09:19:28	ga_ls7e_ard_3-1-0_093085_2020-01-13_final
2020-01-14 10:56:21	ga_ls7e_ard_3-1-0_109080_2020-01-14_final
2020-01-20 10:14:36	ga_ls7e_ard_3-1-0_103069_2020-01-20_final
2020-01-24 09:54:52	ga_ls7e_ard_3-1-0_099082_2020-01-24_final
2020-01-25 08:59:12	ga_ls7e_ard_3-1-0_090082_2020-01-24_final
2020-02-15 10:51:57	ga_ls7e_ard_3-1-0_109073_2020-02-15_final
2020-02-16 10:00:16	ga_ls7e_ard_3-1-0_100083_2020-02-16_final
2020-02-17 10:39:53	ga_ls7e_ard_3-1-0_107074_2020-02-17_final
2020-02-25 09:53:37	ga_ls7e_ard_3-1-0_099083_2020-02-25_final
2020-03-28 09:51:52	ga_ls7e_ard_3-1-0_099083_2020-03-28_final
2020-03-30 11:14:41	ga_ls7e_ard_3-1-0_113074_2020-03-30_final
2020-04-10 10:56:19	ga_ls7e_ard_3-1-0_110076_2020-04-10_final
2020-04-13 09:46:34	ga_ls7e_ard_3-1-0_099072_2020-04-13_final
2020-04-21 10:40:19	ga_ls7e_ard_3-1-0_107084_2020-04-21_final
2020-04-26 10:58:34	ga_ls7e_ard_3-1-0_110084_2020-04-26_final
2022-03-26 08:07:37	ga_ls7e_ard_3-2-1_091089_2022-03-25_final
2022-03-26 09:41:18	ga_ls7e_ard_3-2-1_107076_2022-03-26_final
2022-03-31 09:58:58	ga_ls7e_ard_3-2-1_110075_2022-03-31_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