Search ga_ls5t_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

58 results

Time (local)	Label
1987-12-02 09:25:43	ga_ls5t_ard_3-0-0_096084_1987-12-01_final
1988-05-14 10:37:31	ga_ls5t_ard_3-0-0_108073_1988-05-14_final
1988-05-31 09:41:13	ga_ls5t_ard_3-0-0_099071_1988-05-31_final
1988-10-16 10:17:10	ga_ls5t_ard_3-0-0_105068_1988-10-16_final
1988-10-26 10:56:14	ga_ls5t_ard_3-0-0_111073_1988-10-26_final
1989-05-22 09:12:49	ga_ls5t_ard_3-0-0_095067_1989-05-21_final
1989-07-09 10:53:11	ga_ls5t_ard_3-0-0_111073_1989-07-09_final
1990-07-07 10:27:41	ga_ls5t_ard_3-0-0_108074_1990-07-07_final
1990-08-22 10:42:14	ga_ls5t_ard_3-0-0_110080_1990-08-22_final
1990-09-12 09:21:24	ga_ls5t_ard_3-0-0_097079_1990-09-11_final
1991-07-03 08:52:03	ga_ls5t_ard_3-0-0_091090_1991-07-02_final
1992-01-19 09:38:10	ga_ls5t_ard_3-0-0_099079_1992-01-19_final
1992-02-19 08:57:36	ga_ls5t_ard_3-0-0_092086_1992-02-18_final
1992-04-13 09:52:03	ga_ls5t_ard_3-0-0_102068_1992-04-13_final
1992-05-17 09:43:22	ga_ls5t_ard_3-0-0_100078_1992-05-17_final
1993-01-22 10:15:18	ga_ls5t_ard_3-0-0_106070_1993-01-22_final
1993-04-18 09:39:16	ga_ls5t_ard_3-0-0_100071_1993-04-18_final
1993-05-30 10:20:55	ga_ls5t_ard_3-1-0_106082_1993-05-30_final
1993-08-08 09:42:29	ga_ls5t_ard_3-0-0_100079_1993-08-08_final
1994-02-19 10:09:59	ga_ls5t_ard_3-0-0_105074_1994-02-19_final
1994-06-12 10:51:16	ga_ls5t_ard_3-0-0_112074_1994-06-12_final
1994-07-03 09:29:36	ga_ls5t_ard_3-0-0_099072_1994-07-02_final
1994-08-04 09:28:42	ga_ls5t_ard_3-0-0_099072_1994-08-03_final
1994-12-16 10:27:21	ga_ls5t_ard_3-0-0_109074_1994-12-16_final
1994-12-23 10:31:42	ga_ls5t_ard_3-0-0_110070_1994-12-23_final
1995-04-21 10:34:23	ga_ls5t_ard_3-0-0_111073_1995-04-21_final
1995-12-08 08:52:41	ga_ls5t_ard_3-0-0_096071_1995-12-07_final
1996-09-14 09:02:04	ga_ls5t_ard_3-0-0_095067_1996-09-13_final
1996-12-23 10:24:21	ga_ls5t_ard_3-0-0_107075_1996-12-23_final
1997-03-02 10:44:22	ga_ls5t_ard_3-0-0_110071_1997-03-02_final
1997-03-20 10:33:54	ga_ls5t_ard_3-0-0_108074_1997-03-20_final
1997-03-25 09:10:57	ga_ls5t_ard_3-0-0_095067_1997-03-24_final
1998-04-08 10:44:27	ga_ls5t_ard_3-0-0_108074_1998-04-08_final
2003-08-21 10:38:50	ga_ls5t_ard_3-0-0_107075_2003-08-21_final
2003-09-30 09:52:00	ga_ls5t_ard_3-0-0_099080_2003-09-30_final
2004-07-31 10:38:38	ga_ls5t_ard_3-0-0_106076_2004-07-31_final
2004-12-31 10:35:43	ga_ls5t_ard_3-0-0_105076_2004-12-31_final
2005-04-22 10:36:57	ga_ls5t_ard_3-0-0_105076_2005-04-22_final
2005-10-09 09:32:28	ga_ls5t_ard_3-1-0_095067_2005-10-09_final
2006-06-29 11:25:04	ga_ls5t_ard_3-0-0_112074_2006-06-29_final
2006-11-19 10:43:52	ga_ls5t_ard_3-0-0_105075_2006-11-19_final
2006-12-05 10:44:24	ga_ls5t_ard_3-0-0_105076_2006-12-05_final
2007-01-13 10:47:40	ga_ls5t_ard_3-0-0_106068_2007-01-13_final
2007-02-17 09:39:23	ga_ls5t_ard_3-0-0_095067_2007-02-17_final
2007-05-09 10:27:51	ga_ls5t_ard_3-0-0_102081_2007-05-09_final
2007-06-17 10:33:26	ga_ls5t_ard_3-0-0_103081_2007-06-17_final
2007-09-13 09:37:31	ga_ls5t_ard_3-0-0_095067_2007-09-13_final
2008-03-03 10:03:47	ga_ls5t_ard_3-0-0_099078_2008-03-03_final
2008-07-09 09:56:33	ga_ls5t_ard_3-0-0_099068_2008-07-09_final
2008-08-30 09:29:57	ga_ls5t_ard_3-1-0_095067_2008-08-29_final
2008-09-22 09:42:13	ga_ls5t_ard_3-0-0_096084_2008-09-22_final
2008-11-02 09:27:53	ga_ls5t_ard_3-0-0_095067_2008-11-01_final
2009-11-13 10:29:47	ga_ls5t_ard_3-0-0_103081_2009-11-13_final
2010-02-15 09:04:37	ga_ls5t_ard_3-0-0_089083_2010-02-14_final
2010-03-27 09:52:30	ga_ls5t_ard_3-0-0_097079_2010-03-27_final
2010-04-05 11:23:11	ga_ls5t_ard_3-0-0_112074_2010-04-05_final
2011-02-02 10:39:21	ga_ls5t_ard_3-0-0_105075_2011-02-02_final
2011-04-08 09:40:23	ga_ls5t_ard_3-0-0_096067_2011-04-08_final

Return to ga_ls5t_ard_3 whole collection overview

ga_ls5t_ard_3: Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years