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

55 results

Time (local)	Label
1999-09-11 10:06:24	ga_ls7e_ard_3-0-0_099078_1999-09-11_final
1999-09-26 11:00:31	ga_ls7e_ard_3-0-0_108074_1999-09-26_final
2001-04-01 10:51:54	ga_ls7e_ard_3-0-0_107075_2001-04-01_final
2001-09-06 11:02:19	ga_ls7e_ard_3-0-0_109074_2001-09-06_final
2002-05-31 10:44:36	ga_ls7e_ard_3-0-0_106076_2002-05-31_final
2002-09-20 10:43:21	ga_ls7e_ard_3-1-0_106075_2002-09-20_final
2003-04-07 10:50:31	ga_ls7e_ard_3-0-0_107075_2003-04-07_final
2003-09-27 10:21:27	ga_ls7e_ard_3-0-0_102081_2003-09-27_final
2004-03-15 09:20:18	ga_ls7e_ard_3-0-0_092080_2004-03-14_final
2004-03-24 10:51:03	ga_ls7e_ard_3-0-0_107075_2004-03-24_final
2004-07-12 09:27:49	ga_ls7e_ard_3-0-0_093084_2004-07-11_final
2005-01-15 10:45:23	ga_ls7e_ard_3-0-0_106076_2005-01-15_final
2005-02-03 09:33:54	ga_ls7e_ard_3-0-0_095067_2005-02-03_final
2005-04-12 10:51:21	ga_ls7e_ard_3-0-0_107075_2005-04-12_final
2005-05-08 09:51:58	ga_ls7e_ard_3-0-0_097081_2005-05-08_final
2005-08-23 09:34:41	ga_ls7e_ard_3-0-0_094085_2005-08-23_final
2005-08-27 10:45:14	ga_ls7e_ard_3-0-0_106076_2005-08-27_final
2006-02-02 10:00:44	ga_ls7e_ard_3-0-0_099071_2006-02-02_final
2006-02-25 10:07:23	ga_ls7e_ard_3-0-0_100072_2006-02-25_final
2006-04-12 10:18:06	ga_ls7e_ard_3-0-0_102068_2006-04-12_final
2006-06-26 10:03:03	ga_ls7e_ard_3-0-0_099077_2006-06-26_final
2006-11-24 10:09:19	ga_ls7e_ard_3-0-0_100077_2006-11-24_final
2006-12-03 10:03:37	ga_ls7e_ard_3-0-0_099078_2006-12-03_final
2007-05-23 09:40:54	ga_ls7e_ard_3-0-0_096067_2007-05-23_final
2008-03-06 09:40:45	ga_ls7e_ard_3-0-0_096067_2008-03-06_final
2008-11-01 09:39:32	ga_ls7e_ard_3-0-0_096067_2008-11-01_final
2010-02-26 11:09:07	ga_ls7e_ard_3-0-0_110067_2010-02-26_final
2011-03-29 09:58:08	ga_ls7e_ard_3-0-0_098071_2011-03-29_final
2012-08-13 10:08:14	ga_ls7e_ard_3-0-0_099077_2012-08-13_final
2012-11-12 09:46:30	ga_ls7e_ard_3-0-0_096067_2012-11-12_final
2012-11-29 10:35:25	ga_ls7e_ard_3-0-0_103081_2012-11-29_final
2013-03-25 10:09:34	ga_ls7e_ard_3-0-0_099078_2013-03-25_final
2013-04-03 10:05:47	ga_ls7e_ard_3-0-0_098084_2013-04-03_final
2014-03-12 10:06:45	ga_ls7e_ard_3-0-0_099069_2014-03-12_final
2014-06-11 09:48:00	ga_ls7e_ard_3-0-0_096067_2014-06-11_final
2015-03-26 09:49:38	ga_ls7e_ard_3-0-0_096067_2015-03-26_final
2015-06-10 10:18:53	ga_ls7e_ard_3-0-0_100077_2015-06-10_final
2015-07-21 10:12:52	ga_ls7e_ard_3-0-0_099077_2015-07-21_final
2015-10-20 09:50:53	ga_ls7e_ard_3-0-0_096067_2015-10-20_final
2016-08-05 09:48:26	ga_ls7e_ard_3-0-0_094086_2016-08-05_final
2017-12-28 09:52:48	ga_ls7e_ard_3-0-0_096067_2017-12-28_final
2018-06-06 09:50:28	ga_ls7e_ard_3-0-0_096067_2018-06-06_final
2018-07-08 09:49:51	ga_ls7e_ard_3-0-0_096067_2018-07-08_final
2018-07-29 10:12:24	ga_ls7e_ard_3-0-0_099078_2018-07-29_final
2018-08-27 09:36:34	ga_ls7e_ard_3-1-0_094067_2018-08-27_final
2018-12-13 10:00:20	ga_ls7e_ard_3-0-0_098071_2018-12-13_final
2019-02-10 09:38:24	ga_ls7e_ard_3-0-0_095067_2019-02-10_final
2019-02-17 09:44:22	ga_ls7e_ard_3-1-0_096067_2019-02-17_final
2019-07-21 10:21:30	ga_ls7e_ard_3-0-0_102081_2019-07-21_final
2019-12-02 09:33:01	ga_ls7e_ard_3-1-0_096067_2019-12-02_final
2020-03-07 09:28:06	ga_ls7e_ard_3-1-0_096067_2020-03-06_final
2020-06-17 08:54:15	ga_ls7e_ard_3-1-0_090090_2020-06-16_final
2020-09-07 10:12:28	ga_ls7e_ard_3-1-0_104082_2020-09-07_final
2021-03-20 09:45:55	ga_ls7e_ard_3-2-0_102081_2021-03-20_final
2021-05-07 09:41:56	ga_ls7e_ard_3-2-0_102081_2021-05-07_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years