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

52 results

Time (local)	Label
2000-01-11 10:41:51	ga_ls7e_ard_3-0-0_105074_2000-01-11_final
2000-02-23 10:21:28	ga_ls7e_ard_3-0-0_102070_2000-02-23_final
2000-03-13 09:18:38	ga_ls7e_ard_3-0-0_091083_2000-03-12_final
2000-12-27 09:53:24	ga_ls7e_ard_3-0-0_098067_2000-12-27_final
2001-10-26 10:48:28	ga_ls7e_ard_3-0-0_107071_2001-10-26_final
2002-05-30 10:01:44	ga_ls7e_ard_3-0-0_099077_2002-05-30_final
2002-09-11 10:48:06	ga_ls7e_ard_3-0-0_107071_2002-09-11_final
2003-02-26 10:02:10	ga_ls7e_ard_3-0-0_099078_2003-02-26_final
2003-08-11 11:04:31	ga_ls7e_ard_3-0-0_109080_2003-08-11_final
2003-08-23 11:30:26	ga_ls7e_ard_3-0-0_113083_2003-08-23_final
2003-10-29 10:21:40	ga_ls7e_ard_3-0-0_102081_2003-10-29_final
2003-11-26 10:44:15	ga_ls7e_ard_3-1-0_106075_2003-11-26_final
2004-01-23 09:39:37	ga_ls7e_ard_3-0-0_096067_2004-01-23_final
2004-02-02 10:17:57	ga_ls7e_ard_3-0-0_102070_2004-02-02_final
2004-02-12 09:18:10	ga_ls7e_ard_3-0-0_092075_2004-02-11_final
2005-04-13 09:53:20	ga_ls7e_ard_3-0-0_098069_2005-04-13_final
2005-08-04 09:01:06	ga_ls7e_ard_3-0-0_089078_2005-08-03_final
2006-04-17 10:37:24	ga_ls7e_ard_3-0-0_105070_2006-04-17_final
2006-06-23 09:35:46	ga_ls7e_ard_3-0-0_094086_2006-06-23_final
2006-11-09 09:17:55	ga_ls7e_ard_3-0-0_091088_2006-11-08_final
2007-02-26 10:23:44	ga_ls7e_ard_3-0-0_102081_2007-02-26_final
2007-03-25 10:00:04	ga_ls7e_ard_3-0-0_099068_2007-03-25_final
2008-05-14 10:03:31	ga_ls7e_ard_3-0-0_099078_2008-05-14_final
2008-07-01 10:03:05	ga_ls7e_ard_3-0-0_099078_2008-07-01_final
2009-05-12 09:41:01	ga_ls7e_ard_3-0-0_096067_2009-05-12_final
2010-02-05 09:19:52	ga_ls7e_ard_3-0-0_091088_2010-02-04_final
2010-04-18 10:02:08	ga_ls7e_ard_3-0-0_099069_2010-04-18_final
2010-11-19 10:11:16	ga_ls7e_ard_3-0-0_100075_2010-11-19_final
2011-10-27 11:12:28	ga_ls7e_ard_3-1-0_110072_2011-10-27_final
2011-12-01 10:04:27	ga_ls7e_ard_3-0-0_099071_2011-12-01_final
2012-06-25 09:28:20	ga_ls7e_ard_3-0-0_092087_2012-06-24_final
2012-08-03 09:35:24	ga_ls7e_ard_3-0-0_093088_2012-08-03_final
2012-12-28 10:05:53	ga_ls7e_ard_3-0-0_098084_2012-12-28_final
2013-11-20 11:48:11	ga_ls7e_ard_3-1-0_115077_2013-11-20_final
2014-05-26 11:26:50	ga_ls7e_ard_3-0-0_112067_2014-05-26_final
2014-07-31 09:43:27	ga_ls7e_ard_3-0-0_094086_2014-07-31_final
2017-02-06 11:16:06	ga_ls7e_ard_3-0-0_109075_2017-02-06_final
2017-02-16 11:54:22	ga_ls7e_ard_3-0-0_115078_2017-02-16_final
2017-06-26 11:45:05	ga_ls7e_ard_3-0-0_113084_2017-06-26_final
2017-07-28 11:44:41	ga_ls7e_ard_3-0-0_113083_2017-07-28_final
2019-05-12 09:25:31	ga_ls7e_ard_3-0-0_092089_2019-05-11_final
2019-10-12 09:11:37	ga_ls7e_ard_3-1-0_091085_2019-10-11_final
2020-02-16 09:55:53	ga_ls7e_ard_3-1-0_100072_2020-02-16_final
2020-03-28 09:49:52	ga_ls7e_ard_3-1-0_099078_2020-03-28_final
2020-07-30 10:08:23	ga_ls7e_ard_3-1-0_103081_2020-07-30_final
2021-03-15 09:26:35	ga_ls7e_ard_3-2-0_099078_2021-03-14_final
2021-03-24 09:18:29	ga_ls7e_ard_3-2-0_098075_2021-03-23_final
2021-04-27 10:38:59	ga_ls7e_ard_3-2-0_112067_2021-04-27_final
2021-05-06 08:53:10	ga_ls7e_ard_3-2-0_095067_2021-05-05_final
2021-06-02 08:39:07	ga_ls7e_ard_3-2-0_092084_2021-06-01_final
2021-09-20 08:42:03	ga_ls7e_ard_3-2-0_094084_2021-09-19_final
2021-10-16 09:14:01	ga_ls7e_ard_3-2-0_100077_2021-10-15_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