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

74 results

Time (local)	Label
1999-10-29 10:06:48	ga_ls7e_ard_3-0-0_099079_1999-10-29_final
2002-01-05 10:56:13	ga_ls7e_ard_3-0-0_108074_2002-01-05_final
2002-06-16 10:44:06	ga_ls7e_ard_3-1-0_106075_2002-06-16_final
2002-10-28 10:07:05	ga_ls7e_ard_3-0-0_100077_2002-10-28_final
2002-12-21 11:08:36	ga_ls7e_ard_3-0-0_110075_2002-12-21_final
2003-01-26 10:44:29	ga_ls7e_ard_3-0-0_106076_2003-01-26_final
2003-02-02 10:50:20	ga_ls7e_ard_3-0-0_107075_2003-02-02_final
2003-02-11 10:44:39	ga_ls7e_ard_3-0-0_106076_2003-02-11_final
2003-03-19 10:21:57	ga_ls7e_ard_3-0-0_102081_2003-03-19_final
2003-04-12 11:08:40	ga_ls7e_ard_3-0-0_110074_2003-04-12_final
2003-05-02 10:44:21	ga_ls7e_ard_3-1-0_106075_2003-05-02_final
2003-08-13 10:48:10	ga_ls7e_ard_3-0-0_107070_2003-08-13_final
2003-11-04 11:17:52	ga_ls7e_ard_3-0-0_112067_2003-11-04_final
2003-12-10 10:56:17	ga_ls7e_ard_3-0-0_108074_2003-12-10_final
2004-10-23 09:32:33	ga_ls7e_ard_3-0-0_094081_2004-10-23_final
2005-03-22 08:56:26	ga_ls7e_ard_3-0-0_088081_2005-03-21_final
2005-03-25 11:03:25	ga_ls7e_ard_3-0-0_109074_2005-03-25_final
2005-07-09 10:00:09	ga_ls7e_ard_3-0-0_099071_2005-07-09_final
2005-08-21 11:18:46	ga_ls7e_ard_3-0-0_112067_2005-08-21_final
2005-09-03 09:16:51	ga_ls7e_ard_3-0-0_091087_2005-09-02_final
2005-11-02 11:15:03	ga_ls7e_ard_3-0-0_111073_2005-11-02_final
2005-12-01 10:45:34	ga_ls7e_ard_3-0-0_106076_2005-12-01_final
2005-12-24 09:16:08	ga_ls7e_ard_3-0-0_091084_2005-12-23_final
2006-07-04 09:18:21	ga_ls7e_ard_3-0-0_091089_2006-07-03_final
2006-10-01 10:43:24	ga_ls7e_ard_3-0-0_106071_2006-10-01_final
2007-03-26 09:11:14	ga_ls7e_ard_3-1-0_090085_2007-03-25_final
2007-05-16 09:34:46	ga_ls7e_ard_3-0-0_095067_2007-05-16_final
2007-11-04 10:05:55	ga_ls7e_ard_3-0-0_099084_2007-11-04_final
2008-03-31 11:20:13	ga_ls7e_ard_3-0-0_111084_2008-03-31_final
2008-12-08 10:02:32	ga_ls7e_ard_3-0-0_099077_2008-12-08_final
2009-01-03 10:39:26	ga_ls7e_ard_3-0-0_105076_2009-01-03_final
2009-05-18 10:45:13	ga_ls7e_ard_3-0-0_106073_2009-05-18_final
2009-08-13 09:17:02	ga_ls7e_ard_3-0-0_091085_2009-08-12_final
2009-08-17 10:29:36	ga_ls7e_ard_3-0-0_103081_2009-08-17_final
2010-01-16 09:35:56	ga_ls7e_ard_3-0-0_095067_2010-01-16_final
2010-08-27 10:33:05	ga_ls7e_ard_3-0-0_104069_2010-08-27_final
2010-12-31 10:45:57	ga_ls7e_ard_3-0-0_106068_2010-12-31_final
2011-05-11 09:38:00	ga_ls7e_ard_3-0-0_095067_2011-05-11_final
2011-06-29 10:26:46	ga_ls7e_ard_3-0-0_102081_2011-06-29_final
2013-03-03 09:10:39	ga_ls7e_ard_3-0-0_089085_2013-03-02_final
2014-04-06 09:59:56	ga_ls7e_ard_3-0-0_098067_2014-04-06_final
2014-11-01 09:10:17	ga_ls7e_ard_3-0-0_089079_2014-10-31_final
2015-04-13 11:16:19	ga_ls7e_ard_3-0-0_110067_2015-04-13_final
2015-05-15 11:19:44	ga_ls7e_ard_3-0-0_110075_2015-05-15_final
2015-08-13 10:19:32	ga_ls7e_ard_3-0-0_100078_2015-08-13_final
2016-04-19 11:00:40	ga_ls7e_ard_3-0-0_106082_2016-04-19_final
2016-05-25 10:35:19	ga_ls7e_ard_3-0-0_102080_2016-05-25_final
2016-05-26 11:16:35	ga_ls7e_ard_3-0-0_109075_2016-05-26_final
2016-07-14 10:22:15	ga_ls7e_ard_3-0-0_100078_2016-07-14_final
2016-09-18 10:08:04	ga_ls7e_ard_3-0-0_098073_2016-09-18_final
2016-09-29 09:47:10	ga_ls7e_ard_3-0-0_095067_2016-09-29_final
2016-12-02 09:46:55	ga_ls7e_ard_3-0-0_095067_2016-12-02_final
2017-02-15 09:36:36	ga_ls7e_ard_3-0-0_092089_2017-02-15_final
2018-01-03 10:54:56	ga_ls7e_ard_3-0-0_106068_2018-01-03_final
2018-01-19 10:55:06	ga_ls7e_ard_3-0-0_106069_2018-01-19_final
2018-03-03 10:35:36	ga_ls7e_ard_3-0-0_103068_2018-03-03_final
2018-06-08 09:46:03	ga_ls7e_ard_3-0-0_094087_2018-06-08_final
2018-06-16 10:27:46	ga_ls7e_ard_3-0-0_102068_2018-06-16_final
2018-08-22 09:26:06	ga_ls7e_ard_3-0-0_091087_2018-08-21_final
2018-12-04 10:05:58	ga_ls7e_ard_3-0-0_099069_2018-12-04_final
2019-01-30 09:58:03	ga_ls7e_ard_3-0-0_098069_2019-01-30_final
2019-02-26 11:18:23	ga_ls7e_ard_3-1-0_111071_2019-02-26_final
2019-06-10 10:29:14	ga_ls7e_ard_3-0-0_103081_2019-06-10_final
2020-05-14 09:07:02	ga_ls7e_ard_3-1-0_092086_2020-05-13_final
2020-07-21 10:15:32	ga_ls7e_ard_3-1-0_104082_2020-07-21_final
2020-08-20 08:49:55	ga_ls7e_ard_3-1-0_090089_2020-08-19_final
2020-09-01 10:50:20	ga_ls7e_ard_3-1-0_110083_2020-09-01_final
2021-03-15 09:26:59	ga_ls7e_ard_3-2-0_099079_2021-03-14_final
2021-05-19 10:00:27	ga_ls7e_ard_3-2-0_106068_2021-05-19_final
2021-06-18 08:38:37	ga_ls7e_ard_3-2-0_092086_2021-06-17_final
2021-07-14 09:06:20	ga_ls7e_ard_3-2-0_098068_2021-07-13_final
2021-08-02 09:40:46	ga_ls7e_ard_3-2-0_103081_2021-08-02_final
2021-10-21 09:33:42	ga_ls7e_ard_3-2-0_103081_2021-10-21_final
2022-01-08 10:18:09	ga_ls7e_ard_3-2-1_112072_2022-01-08_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