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
1987-07-15 10:32:42	ga_ls5t_ard_3-0-0_108074_1987-07-15_final
1988-06-22 10:44:44	ga_ls5t_ard_3-0-0_109075_1988-06-22_final
1988-07-19 08:48:12	ga_ls5t_ard_3-0-0_090077_1988-07-18_final
1989-01-20 08:43:42	ga_ls5t_ard_3-0-0_089083_1989-01-19_final
1989-07-05 11:18:47	ga_ls5t_ard_3-0-0_115075_1989-07-05_final
1989-09-20 09:11:35	ga_ls5t_ard_3-0-0_094086_1989-09-19_final
1990-07-24 09:33:59	ga_ls5t_ard_3-0-0_099079_1990-07-24_final
1990-10-12 09:29:56	ga_ls5t_ard_3-1-0_099070_1990-10-11_final
1991-05-08 09:35:51	ga_ls5t_ard_3-0-0_099078_1991-05-08_final
1991-11-17 08:44:54	ga_ls5t_ard_3-0-0_090085_1991-11-16_final
1991-11-17 10:17:48	ga_ls5t_ard_3-0-0_106070_1991-11-17_final
1992-02-21 08:46:26	ga_ls5t_ard_3-0-0_090089_1992-02-20_final
1992-04-24 09:36:58	ga_ls5t_ard_3-0-0_099077_1992-04-24_final
1992-11-25 09:39:55	ga_ls5t_ard_3-0-0_100076_1992-11-25_final
1993-04-11 09:32:37	ga_ls5t_ard_3-0-0_099070_1993-04-11_final
1993-12-25 09:20:52	ga_ls5t_ard_3-0-0_097073_1993-12-24_final
1994-02-09 09:34:15	ga_ls5t_ard_3-0-0_099077_1994-02-09_final
1994-04-14 09:33:12	ga_ls5t_ard_3-0-0_099077_1994-04-14_final
1994-04-28 09:47:20	ga_ls5t_ard_3-0-0_101082_1994-04-28_final
1994-08-16 09:56:44	ga_ls5t_ard_3-0-0_103081_1994-08-16_final
1995-06-11 09:26:04	ga_ls5t_ard_3-0-0_100078_1995-06-10_final
1995-12-23 09:51:01	ga_ls5t_ard_3-0-0_105075_1995-12-23_final
1996-01-11 08:43:36	ga_ls5t_ard_3-0-0_094073_1996-01-10_final
1996-01-18 08:50:16	ga_ls5t_ard_3-0-0_095073_1996-01-17_final
1996-02-04 09:37:55	ga_ls5t_ard_3-0-0_102081_1996-02-04_final
1996-02-08 09:09:53	ga_ls5t_ard_3-0-0_098072_1996-02-07_final
1996-07-25 10:07:42	ga_ls5t_ard_3-0-0_106068_1996-07-25_final
1996-08-07 09:41:04	ga_ls5t_ard_3-0-0_101077_1996-08-07_final
1996-09-16 10:31:53	ga_ls5t_ard_3-0-0_109075_1996-09-16_final
1997-01-16 09:36:27	ga_ls5t_ard_3-0-0_099076_1997-01-16_final
1998-03-16 09:00:17	ga_ls5t_ard_3-0-0_091077_1998-03-15_final
1998-12-06 08:56:51	ga_ls5t_ard_3-0-0_090078_1998-12-05_final
1999-06-15 09:51:29	ga_ls5t_ard_3-0-0_099078_1999-06-15_final
2003-09-09 11:09:40	ga_ls5t_ard_3-0-0_112074_2003-09-09_final
2003-12-28 09:43:16	ga_ls5t_ard_3-0-0_098071_2003-12-28_final
2004-01-21 10:34:23	ga_ls5t_ard_3-0-0_106075_2004-01-21_final
2004-05-27 09:54:48	ga_ls5t_ard_3-0-0_099079_2004-05-27_final
2004-06-07 09:38:35	ga_ls5t_ard_3-1-0_096084_2004-06-07_final
2004-09-13 09:24:24	ga_ls5t_ard_3-0-0_094073_2004-09-12_final
2004-10-25 10:04:00	ga_ls5t_ard_3-0-0_100077_2004-10-25_final
2004-11-17 10:10:34	ga_ls5t_ard_3-0-0_101077_2004-11-17_final
2004-11-19 10:00:36	ga_ls5t_ard_3-0-0_099083_2004-11-19_final
2006-06-18 10:05:44	ga_ls5t_ard_3-0-0_099077_2006-06-18_final
2006-10-14 11:09:03	ga_ls5t_ard_3-0-0_109077_2006-10-14_final
2006-11-12 10:40:25	ga_ls5t_ard_3-0-0_104082_2006-11-12_final
2007-01-25 11:13:15	ga_ls5t_ard_3-0-0_110070_2007-01-25_final
2007-01-26 10:19:13	ga_ls5t_ard_3-0-0_101074_2007-01-26_final
2007-07-14 10:10:34	ga_ls5t_ard_3-0-0_100071_2007-07-14_final
2008-02-08 10:52:52	ga_ls5t_ard_3-0-0_107076_2008-02-08_final
2008-03-01 10:15:47	ga_ls5t_ard_3-0-0_101077_2008-03-01_final
2008-09-21 10:34:17	ga_ls5t_ard_3-0-0_105075_2008-09-21_final
2008-10-05 09:11:42	ga_ls5t_ard_3-0-0_091086_2008-10-04_final
2009-01-03 09:42:18	ga_ls5t_ard_3-1-0_097069_2009-01-03_final
2009-04-16 09:54:33	ga_ls5t_ard_3-0-0_098078_2009-04-16_final
2009-04-26 10:29:49	ga_ls5t_ard_3-0-0_104073_2009-04-26_final
2009-04-27 09:34:13	ga_ls5t_ard_3-0-0_095073_2009-04-27_final
2009-11-01 10:00:35	ga_ls5t_ard_3-0-0_099070_2009-11-01_final
2010-01-09 10:24:01	ga_ls5t_ard_3-0-0_102081_2010-01-09_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