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
1999-08-24 10:17:35	ga_ls7e_ard_3-1-0_101075_1999-08-24_final
1999-11-15 10:48:28	ga_ls7e_ard_3-1-0_106075_1999-11-15_final
2000-05-05 11:11:20	ga_ls7e_ard_3-1-0_110072_2000-05-05_final
2001-05-12 10:45:31	ga_ls7e_ard_3-1-0_106075_2001-05-12_final
2001-07-02 11:18:38	ga_ls7e_ard_3-1-0_111082_2001-07-02_final
2001-07-31 10:44:44	ga_ls7e_ard_3-1-0_106075_2001-07-31_final
2002-01-09 10:29:59	ga_ls7e_ard_3-1-0_104070_2002-01-09_final
2002-02-04 09:27:04	ga_ls7e_ard_3-1-0_094067_2002-02-03_final
2002-05-29 10:54:58	ga_ls7e_ard_3-1-0_108071_2002-05-29_final
2002-06-19 09:35:18	ga_ls7e_ard_3-1-0_095073_2002-06-19_final
2002-12-06 10:12:56	ga_ls7e_ard_3-1-0_101075_2002-12-06_final
2002-12-12 11:17:31	ga_ls7e_ard_3-1-0_111082_2002-12-12_final
2003-10-27 10:29:37	ga_ls7e_ard_3-1-0_104070_2003-10-27_final
2003-11-28 10:29:54	ga_ls7e_ard_3-1-0_104070_2003-11-28_final
2004-03-13 09:30:40	ga_ls7e_ard_3-1-0_094075_2004-03-13_final
2004-10-28 09:49:10	ga_ls7e_ard_3-1-0_097076_2004-10-28_final
2005-01-12 10:14:05	ga_ls7e_ard_3-1-0_101075_2005-01-12_final
2005-03-14 11:23:10	ga_ls7e_ard_3-1-0_112077_2005-03-14_final
2005-04-18 10:14:13	ga_ls7e_ard_3-1-0_101075_2005-04-18_final
2005-07-11 09:49:47	ga_ls7e_ard_3-1-0_097076_2005-07-11_final
2005-12-03 10:30:49	ga_ls7e_ard_3-1-0_104070_2005-12-03_final
2007-07-29 10:14:49	ga_ls7e_ard_3-1-0_101075_2007-07-29_final
2007-10-02 09:21:35	ga_ls7e_ard_3-1-0_092082_2007-10-01_final
2007-12-05 10:58:12	ga_ls7e_ard_3-1-0_108075_2007-12-05_final
2008-02-15 10:11:10	ga_ls7e_ard_3-1-0_100081_2008-02-15_final
2008-07-31 10:13:56	ga_ls7e_ard_3-1-0_101075_2008-07-31_final
2008-10-25 09:38:02	ga_ls7e_ard_3-1-0_095079_2008-10-25_final
2008-12-26 09:49:57	ga_ls7e_ard_3-1-0_097076_2008-12-26_final
2010-01-25 09:36:16	ga_ls7e_ard_3-1-0_094083_2010-01-25_final
2010-03-16 11:00:05	ga_ls7e_ard_3-1-0_108075_2010-03-16_final
2010-10-15 11:21:39	ga_ls7e_ard_3-1-0_111082_2010-10-15_final
2011-01-16 10:48:53	ga_ls7e_ard_3-1-0_106075_2011-01-16_final
2011-11-13 10:18:14	ga_ls7e_ard_3-1-0_101075_2011-11-13_final
2012-06-13 10:35:37	ga_ls7e_ard_3-1-0_104070_2012-06-13_final
2012-07-03 10:15:30	ga_ls7e_ard_3-1-0_100081_2012-07-03_final
2013-04-07 09:40:39	ga_ls7e_ard_3-1-0_094083_2013-04-07_final
2013-07-05 11:12:00	ga_ls7e_ard_3-1-0_109081_2013-07-05_final
2013-07-30 11:03:12	ga_ls7e_ard_3-1-0_108075_2013-07-30_final
2013-08-25 10:03:32	ga_ls7e_ard_3-1-0_098080_2013-08-25_final
2014-05-21 11:13:52	ga_ls7e_ard_3-1-0_109081_2014-05-21_final
2014-05-28 09:41:59	ga_ls7e_ard_3-1-0_094083_2014-05-28_final
2014-07-11 10:05:40	ga_ls7e_ard_3-1-0_098080_2014-07-11_final
2015-01-07 09:43:10	ga_ls7e_ard_3-1-0_094083_2015-01-07_final
2015-09-14 10:20:49	ga_ls7e_ard_3-1-0_100081_2015-09-14_final
2015-11-07 09:45:10	ga_ls7e_ard_3-1-0_094083_2015-11-07_final
2017-03-26 09:40:39	ga_ls7e_ard_3-1-0_093083_2017-03-26_final
2017-05-04 09:47:04	ga_ls7e_ard_3-1-0_094083_2017-05-04_final
2018-04-28 09:49:43	ga_ls7e_ard_3-1-0_095079_2018-04-28_final
2018-10-22 10:28:18	ga_ls7e_ard_3-1-0_102076_2018-10-22_final
2019-02-21 09:25:06	ga_ls7e_ard_3-1-0_092081_2019-02-20_final
2019-02-25 10:38:45	ga_ls7e_ard_3-1-0_104080_2019-02-25_final
2019-02-27 10:24:20	ga_ls7e_ard_3-1-0_102075_2019-02-27_final
2019-03-06 10:31:05	ga_ls7e_ard_3-1-0_103077_2019-03-06_final
2019-03-09 11:03:05	ga_ls7e_ard_3-1-0_108080_2019-03-09_final
2019-03-28 11:34:09	ga_ls7e_ard_3-1-0_113082_2019-03-28_final
2019-06-17 10:30:46	ga_ls7e_ard_3-1-0_104070_2019-06-17_final
2019-08-24 10:04:33	ga_ls7e_ard_3-1-0_100073_2019-08-24_final
2019-08-26 09:56:53	ga_ls7e_ard_3-1-0_098085_2019-08-26_final
2019-08-29 10:24:28	ga_ls7e_ard_3-1-0_103077_2019-08-29_final
2019-09-03 09:05:07	ga_ls7e_ard_3-1-0_090080_2019-09-02_final
2019-09-03 10:41:12	ga_ls7e_ard_3-1-0_106073_2019-09-03_final
2019-09-07 10:15:54	ga_ls7e_ard_3-1-0_102072_2019-09-07_final
2019-09-15 11:08:11	ga_ls7e_ard_3-1-0_110080_2019-09-15_final
2019-09-17 09:15:39	ga_ls7e_ard_3-1-0_092077_2019-09-16_final
2019-09-22 09:35:34	ga_ls7e_ard_3-1-0_095081_2019-09-22_final
2019-09-26 10:46:22	ga_ls7e_ard_3-1-0_107073_2019-09-26_final
2019-09-29 09:39:27	ga_ls7e_ard_3-1-0_096076_2019-09-29_final
2019-10-15 09:38:00	ga_ls7e_ard_3-1-0_096074_2019-10-15_final
2019-10-16 10:22:01	ga_ls7e_ard_3-1-0_103076_2019-10-16_final
2019-10-21 09:03:03	ga_ls7e_ard_3-1-0_090080_2019-10-20_final
2019-11-06 09:03:33	ga_ls7e_ard_3-1-0_090083_2019-11-05_final
2019-11-06 10:40:26	ga_ls7e_ard_3-1-0_106078_2019-11-06_final
2019-11-06 10:42:01	ga_ls7e_ard_3-1-0_106082_2019-11-06_final
2019-11-07 11:23:15	ga_ls7e_ard_3-1-0_113077_2019-11-07_final
2019-11-08 10:27:11	ga_ls7e_ard_3-1-0_104076_2019-11-08_final
2019-11-10 10:14:20	ga_ls7e_ard_3-1-0_102075_2019-11-10_final
2019-11-23 11:22:06	ga_ls7e_ard_3-1-0_113076_2019-11-23_final
2019-12-03 10:17:25	ga_ls7e_ard_3-1-0_103070_2019-12-03_final
2019-12-05 10:07:21	ga_ls7e_ard_3-1-0_101076_2019-12-05_final
2019-12-09 09:41:38	ga_ls7e_ard_3-1-0_097074_2019-12-09_final
2019-12-18 09:37:24	ga_ls7e_ard_3-1-0_096080_2019-12-18_final
2019-12-20 09:26:08	ga_ls7e_ard_3-1-0_094083_2019-12-19_final
2019-12-27 11:08:26	ga_ls7e_ard_3-1-0_111077_2019-12-27_final
2020-01-05 09:22:54	ga_ls7e_ard_3-1-0_094077_2020-01-04_final
2020-01-12 11:07:37	ga_ls7e_ard_3-1-0_111077_2020-01-12_final
2020-01-19 11:13:27	ga_ls7e_ard_3-1-0_112077_2020-01-19_final
2020-01-30 09:17:29	ga_ls7e_ard_3-1-0_093082_2020-01-29_final
2020-02-01 10:43:30	ga_ls7e_ard_3-1-0_107081_2020-02-01_final
2020-02-18 09:45:01	ga_ls7e_ard_3-1-0_098076_2020-02-18_final
2020-02-26 08:59:08	ga_ls7e_ard_3-1-0_090086_2020-02-25_final
2020-03-01 10:09:54	ga_ls7e_ard_3-1-0_102078_2020-03-01_final
2020-03-13 08:56:41	ga_ls7e_ard_3-1-0_090082_2020-03-12_final
2020-03-16 09:28:13	ga_ls7e_ard_3-1-0_095084_2020-03-15_final
2020-03-17 10:07:26	ga_ls7e_ard_3-1-0_102074_2020-03-17_final
2020-04-09 10:15:30	ga_ls7e_ard_3-1-0_103082_2020-04-09_final
2020-04-11 09:59:26	ga_ls7e_ard_3-1-0_101073_2020-04-11_final
2020-04-15 11:15:22	ga_ls7e_ard_3-1-0_113078_2020-04-15_final
2020-04-26 09:18:53	ga_ls7e_ard_3-1-0_094082_2020-04-25_final
2021-02-24 08:57:34	ga_ls7e_ard_3-2-0_094079_2021-02-23_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