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

54 results

Time (local)	Label
1999-10-29 10:08:48	ga_ls7e_ard_3-0-0_099084_1999-10-29_final
2000-02-26 09:19:54	ga_ls7e_ard_3-1-0_091086_2000-02-25_final
2000-04-12 11:06:02	ga_ls7e_ard_3-0-0_109074_2000-04-12_final
2000-08-18 11:04:47	ga_ls7e_ard_3-0-0_109074_2000-08-18_final
2000-09-03 11:04:33	ga_ls7e_ard_3-0-0_109074_2000-09-03_final
2000-12-26 09:15:20	ga_ls7e_ard_3-0-0_091080_2000-12-25_final
2001-04-26 09:09:10	ga_ls7e_ard_3-0-0_090081_2001-04-25_final
2002-03-18 10:08:06	ga_ls7e_ard_3-0-0_100077_2002-03-18_final
2003-10-27 10:34:24	ga_ls7e_ard_3-0-0_104082_2003-10-27_final
2003-12-24 09:27:06	ga_ls7e_ard_3-1-0_094067_2003-12-23_final
2004-03-26 10:36:41	ga_ls7e_ard_3-0-0_105070_2004-03-26_final
2004-12-27 10:13:12	ga_ls7e_ard_3-0-0_101073_2004-12-27_final
2005-03-11 10:53:51	ga_ls7e_ard_3-0-0_107081_2005-03-11_final
2005-03-27 10:53:50	ga_ls7e_ard_3-0-0_107081_2005-03-27_final
2005-05-15 09:57:21	ga_ls7e_ard_3-0-0_098079_2005-05-15_final
2005-11-14 10:00:12	ga_ls7e_ard_3-0-0_099071_2005-11-14_final
2005-11-22 10:50:54	ga_ls7e_ard_3-0-0_107074_2005-11-22_final
2005-12-08 10:50:58	ga_ls7e_ard_3-0-0_107074_2005-12-08_final
2006-01-01 10:00:28	ga_ls7e_ard_3-0-0_099071_2006-01-01_final
2006-01-25 10:54:07	ga_ls7e_ard_3-0-0_107081_2006-01-25_final
2006-05-24 09:23:31	ga_ls7e_ard_3-0-0_092086_2006-05-23_final
2006-05-24 10:57:37	ga_ls7e_ard_3-0-0_108074_2006-05-24_final
2007-01-31 09:43:43	ga_ls7e_ard_3-0-0_096074_2007-01-31_final
2007-06-07 10:40:04	ga_ls7e_ard_3-0-0_105076_2007-06-07_final
2007-06-13 10:03:47	ga_ls7e_ard_3-0-0_099078_2007-06-13_final
2008-04-07 11:26:24	ga_ls7e_ard_3-1-0_112084_2008-04-07_final
2008-08-12 10:38:11	ga_ls7e_ard_3-0-0_105074_2008-08-12_final
2008-09-02 10:56:34	ga_ls7e_ard_3-0-0_108074_2008-09-02_final
2008-12-16 10:49:16	ga_ls7e_ard_3-0-0_107070_2008-12-16_final
2009-04-23 10:52:08	ga_ls7e_ard_3-0-0_107075_2009-04-23_final
2009-05-25 10:52:12	ga_ls7e_ard_3-0-0_107075_2009-05-25_final
2009-06-26 10:52:10	ga_ls7e_ard_3-0-0_107075_2009-06-26_final
2009-07-28 10:52:01	ga_ls7e_ard_3-0-0_107075_2009-07-28_final
2009-08-29 10:51:56	ga_ls7e_ard_3-0-0_107075_2009-08-29_final
2010-01-29 10:44:30	ga_ls7e_ard_3-0-0_106068_2010-01-29_final
2010-09-18 09:58:26	ga_ls7e_ard_3-0-0_098075_2010-09-18_final
2011-04-15 09:08:31	ga_ls7e_ard_3-0-0_089086_2011-04-14_final
2012-02-20 10:50:07	ga_ls7e_ard_3-0-0_106076_2012-02-20_final
2012-06-18 10:56:12	ga_ls7e_ard_3-0-0_107075_2012-06-18_final
2013-03-29 11:19:20	ga_ls7e_ard_3-0-0_111067_2013-03-29_final
2013-06-04 10:17:23	ga_ls7e_ard_3-0-0_100083_2013-06-04_final
2015-03-14 09:33:11	ga_ls7e_ard_3-0-0_092088_2015-03-14_final
2015-08-23 09:22:32	ga_ls7e_ard_3-0-0_090090_2015-08-22_final
2017-01-12 11:20:29	ga_ls7e_ard_3-0-0_110070_2017-01-12_final
2018-03-08 10:56:52	ga_ls7e_ard_3-1-0_106075_2018-03-08_final
2018-04-25 10:56:33	ga_ls7e_ard_3-0-0_106076_2018-04-25_final
2018-06-10 09:34:03	ga_ls7e_ard_3-0-0_092088_2018-06-10_final
2018-11-20 09:58:45	ga_ls7e_ard_3-0-0_097081_2018-11-20_final
2021-02-06 09:13:41	ga_ls7e_ard_3-2-0_096085_2021-02-05_final
2021-03-03 10:39:18	ga_ls7e_ard_3-2-0_111072_2021-03-03_final
2021-03-15 09:23:24	ga_ls7e_ard_3-2-0_099070_2021-03-14_final
2021-08-19 08:38:03	ga_ls7e_ard_3-2-0_094067_2021-08-18_final
2022-01-08 10:18:09	ga_ls7e_ard_3-2-1_112072_2022-01-08_final
2022-03-26 08:03:13	ga_ls7e_ard_3-2-1_091078_2022-03-25_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