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

90 results

Time (local)	Label
1999-07-15 11:06:31	ga_ls7e_ard_3-0-0_109074_1999-07-15_final
2000-02-27 09:57:11	ga_ls7e_ard_3-0-0_098071_2000-02-27_final
2000-10-15 11:42:30	ga_ls7e_ard_3-0-0_115078_2000-10-15_final
2000-12-20 09:51:58	ga_ls7e_ard_3-0-0_097079_2000-12-20_final
2003-04-13 10:15:50	ga_ls7e_ard_3-0-0_101081_2003-04-13_final
2003-04-16 09:11:02	ga_ls7e_ard_3-0-0_090089_2003-04-15_final
2003-09-02 10:22:35	ga_ls7e_ard_3-0-0_103068_2003-09-02_final
2003-10-27 08:54:43	ga_ls7e_ard_3-0-0_088080_2003-10-26_final
2004-01-25 11:09:21	ga_ls7e_ard_3-0-0_110075_2004-01-25_final
2004-02-22 09:53:39	ga_ls7e_ard_3-0-0_098071_2004-02-22_final
2004-03-31 09:22:43	ga_ls7e_ard_3-0-0_092086_2004-03-30_final
2004-04-01 11:40:52	ga_ls7e_ard_3-0-0_115076_2004-04-01_final
2004-09-05 11:08:37	ga_ls7e_ard_3-0-0_110074_2004-09-05_final
2004-11-11 11:39:45	ga_ls7e_ard_3-0-0_115074_2004-11-11_final
2005-02-28 11:09:59	ga_ls7e_ard_3-0-0_110075_2005-02-28_final
2005-06-11 09:33:53	ga_ls7e_ard_3-0-0_095067_2005-06-11_final
2005-08-11 10:42:32	ga_ls7e_ard_3-0-0_106069_2005-08-11_final
2005-10-26 11:08:23	ga_ls7e_ard_3-1-0_110072_2005-10-26_final
2005-11-27 09:31:47	ga_ls7e_ard_3-0-0_094077_2005-11-27_final
2006-02-05 10:30:27	ga_ls7e_ard_3-0-0_104068_2006-02-05_final
2006-03-14 10:51:28	ga_ls7e_ard_3-0-0_107074_2006-03-14_final
2006-04-12 10:18:30	ga_ls7e_ard_3-0-0_102069_2006-04-12_final
2006-05-25 11:41:40	ga_ls7e_ard_3-0-0_115076_2006-05-25_final
2006-07-13 09:12:30	ga_ls7e_ard_3-0-0_090090_2006-07-12_final
2006-08-16 10:33:17	ga_ls7e_ard_3-0-0_104076_2006-08-16_final
2006-09-06 10:50:57	ga_ls7e_ard_3-0-0_107074_2006-09-06_final
2006-09-19 10:19:11	ga_ls7e_ard_3-0-0_102072_2006-09-19_final
2006-09-25 11:25:19	ga_ls7e_ard_3-0-0_112083_2006-09-25_final
2006-11-27 10:36:40	ga_ls7e_ard_3-0-0_105068_2006-11-27_final
2007-01-15 11:22:53	ga_ls7e_ard_3-0-0_112075_2007-01-15_final
2007-02-06 09:12:16	ga_ls7e_ard_3-0-0_090088_2007-02-05_final
2007-04-04 10:37:32	ga_ls7e_ard_3-0-0_105069_2007-04-04_final
2007-06-07 10:42:27	ga_ls7e_ard_3-0-0_105082_2007-06-07_final
2007-07-14 11:01:20	ga_ls7e_ard_3-0-0_108083_2007-07-14_final
2008-01-27 09:36:44	ga_ls7e_ard_3-0-0_095072_2008-01-27_final
2008-02-23 09:23:41	ga_ls7e_ard_3-0-0_092086_2008-02-22_final
2008-04-04 10:55:06	ga_ls7e_ard_3-0-0_107083_2008-04-04_final
2008-05-14 10:03:31	ga_ls7e_ard_3-0-0_099078_2008-05-14_final
2008-08-22 11:15:12	ga_ls7e_ard_3-0-0_111074_2008-08-22_final
2008-10-04 09:22:34	ga_ls7e_ard_3-0-0_092087_2008-10-03_final
2008-10-15 09:03:11	ga_ls7e_ard_3-0-0_089085_2008-10-14_final
2008-12-02 10:37:34	ga_ls7e_ard_3-0-0_105072_2008-12-02_final
2009-03-12 10:16:00	ga_ls7e_ard_3-0-0_101078_2009-03-12_final
2009-07-28 09:16:20	ga_ls7e_ard_3-0-0_091083_2009-07-27_final
2009-07-29 09:59:35	ga_ls7e_ard_3-0-0_098083_2009-07-29_final
2009-09-10 09:37:22	ga_ls7e_ard_3-0-0_095074_2009-09-10_final
2011-02-16 10:04:34	ga_ls7e_ard_3-0-0_099072_2011-02-16_final
2011-05-12 10:21:39	ga_ls7e_ard_3-0-0_102068_2011-05-12_final
2011-06-24 11:45:09	ga_ls7e_ard_3-0-0_115076_2011-06-24_final
2011-12-13 10:28:01	ga_ls7e_ard_3-0-0_103068_2011-12-13_final
2012-02-11 10:58:16	ga_ls7e_ard_3-0-0_107081_2012-02-11_final
2012-07-28 10:08:49	ga_ls7e_ard_3-0-0_099079_2012-07-28_final
2013-05-03 10:14:01	ga_ls7e_ard_3-0-0_100074_2013-05-03_final
2013-08-14 10:23:08	ga_ls7e_ard_3-0-0_101083_2013-08-14_final
2013-09-19 11:31:20	ga_ls7e_ard_3-0-0_113067_2013-09-19_final
2013-10-03 10:09:45	ga_ls7e_ard_3-0-0_099079_2013-10-03_final
2014-04-26 11:17:30	ga_ls7e_ard_3-0-0_110075_2014-04-26_final
2014-08-23 11:21:19	ga_ls7e_ard_3-0-0_111068_2014-08-23_final
2014-11-16 11:44:28	ga_ls7e_ard_3-0-0_114078_2014-11-16_final
2014-11-24 10:51:29	ga_ls7e_ard_3-0-0_106069_2014-11-24_final
2015-01-17 10:17:52	ga_ls7e_ard_3-0-0_100077_2015-01-17_final
2015-02-05 10:48:06	ga_ls7e_ard_3-0-0_105075_2015-02-05_final
2016-01-20 10:21:23	ga_ls7e_ard_3-0-0_100078_2016-01-20_final
2016-06-14 10:06:42	ga_ls7e_ard_3-0-0_098070_2016-06-14_final
2016-06-16 09:55:56	ga_ls7e_ard_3-0-0_096074_2016-06-16_final
2016-10-27 10:11:49	ga_ls7e_ard_3-0-0_099067_2016-10-27_final
2017-04-19 10:30:15	ga_ls7e_ard_3-0-0_101083_2017-04-19_final
2017-05-01 10:52:14	ga_ls7e_ard_3-0-0_105076_2017-05-01_final
2018-06-16 10:32:57	ga_ls7e_ard_3-0-0_102081_2018-06-16_final
2018-08-22 09:25:42	ga_ls7e_ard_3-1-0_091086_2018-08-21_final
2019-01-27 11:06:32	ga_ls7e_ard_3-0-0_109070_2019-01-27_final
2019-03-03 11:35:10	ga_ls7e_ard_3-1-0_114067_2019-03-03_final
2019-05-03 11:05:20	ga_ls7e_ard_3-0-0_109075_2019-05-03_final
2020-04-05 09:02:22	ga_ls7e_ard_3-1-0_091084_2020-04-04_final
2020-04-09 10:11:31	ga_ls7e_ard_3-1-0_103072_2020-04-09_final
2020-04-28 10:42:54	ga_ls7e_ard_3-1-0_108076_2020-04-28_final
2020-04-29 09:44:01	ga_ls7e_ard_3-1-0_099068_2020-04-29_final
2020-06-20 11:00:16	ga_ls7e_ard_3-1-0_111081_2020-06-20_final
2020-06-23 09:52:06	ga_ls7e_ard_3-1-0_100081_2020-06-23_final
2020-09-10 10:43:34	ga_ls7e_ard_3-1-0_109083_2020-09-10_final
2020-12-18 11:05:18	ga_ls7e_ard_3-1-0_114077_2020-12-18_final
2021-02-22 10:47:22	ga_ls7e_ard_3-2-0_112075_2021-02-22_final
2021-04-04 10:36:44	ga_ls7e_ard_3-2-0_111072_2021-04-04_final
2021-05-03 10:02:36	ga_ls7e_ard_3-2-0_106070_2021-05-03_final
2021-10-02 10:42:58	ga_ls7e_ard_3-2-0_114080_2021-10-02_final
2021-10-24 08:27:51	ga_ls7e_ard_3-2-0_092087_2021-10-23_final
2021-11-02 09:55:43	ga_ls7e_ard_3-2-0_107077_2021-11-02_final
2021-12-12 09:00:04	ga_ls7e_ard_3-2-1_099071_2021-12-11_final
2022-01-16 09:26:22	ga_ls7e_ard_3-2-1_104068_2022-01-15_final
2022-03-07 09:09:52	ga_ls7e_ard_3-2-1_102070_2022-03-06_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years