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

85 results

Time (local)	Label
1999-09-27 11:45:24	ga_ls7e_ard_3-0-0_115078_1999-09-27_final
2000-01-11 10:41:27	ga_ls7e_ard_3-0-0_105073_2000-01-11_final
2000-02-02 10:02:43	ga_ls7e_ard_3-0-0_099069_2000-02-02_final
2000-10-30 10:58:18	ga_ls7e_ard_3-0-0_108075_2000-10-30_final
2000-11-30 10:15:51	ga_ls7e_ard_3-0-0_101077_2000-11-30_final
2001-02-13 10:00:09	ga_ls7e_ard_3-0-0_098084_2001-02-13_final
2001-08-21 11:06:31	ga_ls7e_ard_3-0-0_109084_2001-08-21_final
2001-10-18 09:58:36	ga_ls7e_ard_3-0-0_099070_2001-10-18_final
2001-10-18 11:39:53	ga_ls7e_ard_3-0-0_115076_2001-10-18_final
2002-02-16 09:57:01	ga_ls7e_ard_3-1-0_098080_2002-02-16_final
2003-11-13 09:34:57	ga_ls7e_ard_3-0-0_095072_2003-11-13_final
2004-01-22 10:38:49	ga_ls7e_ard_3-0-0_105076_2004-01-22_final
2004-01-26 10:16:07	ga_ls7e_ard_3-0-0_101081_2004-01-26_final
2004-07-16 09:05:28	ga_ls7e_ard_3-0-0_089090_2004-07-15_final
2004-09-19 11:24:05	ga_ls7e_ard_3-0-0_112082_2004-09-19_final
2004-11-20 09:53:32	ga_ls7e_ard_3-0-0_098071_2004-11-20_final
2005-03-20 09:12:23	ga_ls7e_ard_3-0-0_090090_2005-03-19_final
2005-04-30 10:38:59	ga_ls7e_ard_3-0-0_105075_2005-04-30_final
2005-07-01 10:54:21	ga_ls7e_ard_3-0-0_107083_2005-07-01_final
2005-09-06 11:18:37	ga_ls7e_ard_3-0-0_112067_2005-09-06_final
2006-05-15 09:24:55	ga_ls7e_ard_3-0-0_093074_2006-05-14_final
2006-05-26 09:12:21	ga_ls7e_ard_3-0-0_090089_2006-05-25_final
2006-07-29 09:11:59	ga_ls7e_ard_3-0-0_090089_2006-07-28_final
2006-08-29 10:03:57	ga_ls7e_ard_3-0-0_099080_2006-08-29_final
2007-01-15 09:42:24	ga_ls7e_ard_3-0-0_096071_2007-01-15_final
2007-02-01 10:29:46	ga_ls7e_ard_3-0-0_103081_2007-02-01_final
2007-11-13 11:35:31	ga_ls7e_ard_3-0-0_114076_2007-11-13_final
2008-03-13 11:32:10	ga_ls7e_ard_3-0-0_113083_2008-03-13_final
2008-06-25 10:41:50	ga_ls7e_ard_3-0-0_105082_2008-06-25_final
2008-11-06 10:02:09	ga_ls7e_ard_3-0-0_099077_2008-11-06_final
2009-01-09 10:00:47	ga_ls7e_ard_3-0-0_099072_2009-01-09_final
2009-05-15 10:18:19	ga_ls7e_ard_3-0-0_101083_2009-05-15_final
2009-11-10 09:11:38	ga_ls7e_ard_3-0-0_090086_2009-11-09_final
2010-02-04 10:13:29	ga_ls7e_ard_3-0-0_100083_2010-02-04_final
2010-03-08 10:09:00	ga_ls7e_ard_3-1-0_100071_2010-03-08_final
2010-08-17 11:37:39	ga_ls7e_ard_3-0-0_114076_2010-08-17_final
2010-10-20 09:56:58	ga_ls7e_ard_3-0-0_098071_2010-10-20_final
2011-06-02 10:43:24	ga_ls7e_ard_3-0-0_105076_2011-06-02_final
2012-01-11 09:58:11	ga_ls7e_ard_3-0-0_098070_2012-01-11_final
2012-02-08 10:27:45	ga_ls7e_ard_3-0-0_102082_2012-02-08_final
2012-05-06 11:12:53	ga_ls7e_ard_3-0-0_110070_2012-05-06_final
2012-06-11 09:14:40	ga_ls7e_ard_3-0-0_090084_2012-06-10_final
2012-07-03 10:16:17	ga_ls7e_ard_3-0-0_100083_2012-07-03_final
2012-08-14 09:16:13	ga_ls7e_ard_3-0-0_090086_2012-08-13_final
2013-03-07 10:23:13	ga_ls7e_ard_3-0-0_101081_2013-03-07_final
2013-07-16 09:17:16	ga_ls7e_ard_3-0-0_090088_2013-07-15_final
2013-07-23 09:19:00	ga_ls7e_ard_3-0-0_091077_2013-07-22_final
2013-10-28 10:03:24	ga_ls7e_ard_3-0-0_098078_2013-10-28_final
2014-01-09 11:32:05	ga_ls7e_ard_3-0-0_113067_2014-01-09_final
2014-04-17 11:23:11	ga_ls7e_ard_3-0-0_111074_2014-04-17_final
2014-07-06 11:24:24	ga_ls7e_ard_3-0-0_111076_2014-07-06_final
2014-08-11 10:57:25	ga_ls7e_ard_3-0-0_107070_2014-08-11_final
2014-12-06 11:22:17	ga_ls7e_ard_3-0-0_110084_2014-12-06_final
2014-12-09 10:12:42	ga_ls7e_ard_3-0-0_099080_2014-12-09_final
2015-09-27 09:47:10	ga_ls7e_ard_3-0-0_095074_2015-09-27_final
2015-11-27 10:54:04	ga_ls7e_ard_3-0-0_106069_2015-11-27_final
2015-12-17 10:30:28	ga_ls7e_ard_3-0-0_102071_2015-12-17_final
2015-12-21 10:11:00	ga_ls7e_ard_3-0-0_098084_2015-12-21_final
2016-06-06 10:58:30	ga_ls7e_ard_3-0-0_106076_2016-06-06_final
2016-06-22 09:24:51	ga_ls7e_ard_3-0-0_090089_2016-06-21_final
2017-01-16 10:55:19	ga_ls7e_ard_3-0-0_106069_2017-01-16_final
2017-01-24 10:06:35	ga_ls7e_ard_3-0-0_098071_2017-01-24_final
2017-03-22 10:03:22	ga_ls7e_ard_3-0-0_097078_2017-03-22_final
2017-07-14 09:49:04	ga_ls7e_ard_3-0-0_095072_2017-07-14_final
2017-09-02 11:16:20	ga_ls7e_ard_3-0-0_109074_2017-09-02_final
2017-11-16 10:55:47	ga_ls7e_ard_3-0-0_106069_2017-11-16_final
2018-01-28 09:15:28	ga_ls7e_ard_3-0-0_089083_2018-01-27_final
2018-04-09 10:53:38	ga_ls7e_ard_3-0-0_106068_2018-04-09_final
2018-06-30 10:40:15	ga_ls7e_ard_3-0-0_104069_2018-06-30_final
2018-10-12 11:31:56	ga_ls7e_ard_3-0-0_112080_2018-10-12_final
2019-03-18 09:17:20	ga_ls7e_ard_3-1-0_091079_2019-03-17_final
2019-03-26 10:07:42	ga_ls7e_ard_3-1-0_099082_2019-03-26_final
2019-04-06 11:24:28	ga_ls7e_ard_3-0-0_112074_2019-04-06_final
2019-05-02 10:21:19	ga_ls7e_ard_3-0-0_102073_2019-05-02_final
2019-09-18 09:58:52	ga_ls7e_ard_3-1-0_099077_2019-09-18_final
2020-12-21 09:57:29	ga_ls7e_ard_3-1-0_103078_2020-12-21_final
2021-01-17 09:39:04	ga_ls7e_ard_3-1-0_100083_2021-01-17_final
2021-02-28 08:36:32	ga_ls7e_ard_3-2-0_090089_2021-02-27_final
2021-03-03 09:01:13	ga_ls7e_ard_3-2-0_095074_2021-03-02_final
2021-03-16 08:31:41	ga_ls7e_ard_3-2-0_090080_2021-03-15_final
2021-03-19 10:36:02	ga_ls7e_ard_3-2-0_111067_2021-03-19_final
2021-04-21 09:42:53	ga_ls7e_ard_3-2-0_102080_2021-04-21_final
2021-12-16 10:14:15	ga_ls7e_ard_3-2-1_111072_2021-12-16_final
2021-12-27 09:54:13	ga_ls7e_ard_3-2-1_108071_2021-12-27_final
2022-01-07 09:33:47	ga_ls7e_ard_3-2-1_105069_2022-01-07_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