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

45 results

Time (local)	Label
1988-01-25 10:24:02	ga_ls5t_ard_3-0-0_106073_1988-01-25_final
1988-03-05 09:37:34	ga_ls5t_ard_3-0-0_098079_1988-03-05_final
1989-01-14 10:56:14	ga_ls5t_ard_3-0-0_111074_1989-01-14_final
1989-02-28 08:47:18	ga_ls5t_ard_3-0-0_090077_1989-02-27_final
1989-03-03 10:55:49	ga_ls5t_ard_3-0-0_111074_1989-03-03_final
1989-08-22 09:39:17	ga_ls5t_ard_3-0-0_099076_1989-08-22_final
1989-08-22 09:39:41	ga_ls5t_ard_3-0-0_099077_1989-08-22_final
1990-02-17 10:07:27	ga_ls5t_ard_3-0-0_104082_1990-02-17_final
1990-04-09 09:00:09	ga_ls5t_ard_3-0-0_093087_1990-04-08_final
1990-05-15 08:36:23	ga_ls5t_ard_3-0-0_089089_1990-05-14_final
1990-06-05 10:28:31	ga_ls5t_ard_3-0-0_108076_1990-06-05_final
1990-08-06 09:05:25	ga_ls5t_ard_3-0-0_094085_1990-08-05_final
1991-01-14 09:45:41	ga_ls5t_ard_3-0-0_101077_1991-01-14_final
1991-02-14 10:40:18	ga_ls5t_ard_3-0-0_110073_1991-02-14_final
1992-07-19 10:37:29	ga_ls5t_ard_3-0-0_109076_1992-07-19_final
1992-10-28 09:13:58	ga_ls5t_ard_3-0-0_096072_1992-10-27_final
1992-11-06 10:47:41	ga_ls5t_ard_3-0-0_111075_1992-11-06_final
1993-03-25 08:56:23	ga_ls5t_ard_3-0-0_092088_1993-03-24_final
1993-03-26 09:32:53	ga_ls5t_ard_3-0-0_099071_1993-03-26_final
1994-08-15 10:46:48	ga_ls5t_ard_3-0-0_112067_1994-08-15_final
1994-12-20 10:02:54	ga_ls5t_ard_3-0-0_105075_1994-12-20_final
1995-01-13 10:54:43	ga_ls5t_ard_3-0-0_113083_1995-01-13_final
1995-04-18 08:26:20	ga_ls5t_ard_3-0-0_090077_1995-04-17_final
1996-11-27 09:46:49	ga_ls5t_ard_3-0-0_101077_1996-11-27_final
1997-02-17 09:35:03	ga_ls5t_ard_3-0-0_099069_1997-02-17_final
1998-05-05 10:24:41	ga_ls5t_ard_3-0-0_105070_1998-05-05_final
1998-09-29 10:59:08	ga_ls5t_ard_3-0-0_110075_1998-09-29_final
1999-02-04 11:02:13	ga_ls5t_ard_3-0-0_110082_1999-02-04_final
1999-07-17 09:51:39	ga_ls5t_ard_3-0-0_099079_1999-07-17_final
2003-07-30 09:37:03	ga_ls5t_ard_3-0-0_097076_2003-07-30_final
2004-01-28 10:43:24	ga_ls5t_ard_3-0-0_107082_2004-01-28_final
2004-11-19 09:57:49	ga_ls5t_ard_3-0-0_099076_2004-11-19_final
2004-12-05 09:59:48	ga_ls5t_ard_3-0-0_099080_2004-12-05_final
2005-06-03 09:34:16	ga_ls5t_ard_3-0-0_095073_2005-06-03_final
2005-09-25 11:05:02	ga_ls5t_ard_3-0-0_109082_2005-09-25_final
2006-02-14 11:16:12	ga_ls5t_ard_3-0-0_111073_2006-02-14_final
2006-04-11 10:27:27	ga_ls5t_ard_3-0-0_103072_2006-04-11_final
2008-03-03 10:03:23	ga_ls5t_ard_3-0-0_099077_2008-03-03_final
2008-10-24 11:16:03	ga_ls5t_ard_3-0-0_112074_2008-10-24_final
2008-12-02 09:41:24	ga_ls5t_ard_3-1-0_097069_2008-12-02_final
2009-01-05 09:31:36	ga_ls5t_ard_3-0-0_095073_2009-01-05_final
2009-07-05 11:30:30	ga_ls5t_ard_3-0-0_114067_2009-07-05_final
2010-01-21 09:08:19	ga_ls5t_ard_3-0-0_090077_2010-01-20_final
2010-02-05 10:01:36	ga_ls5t_ard_3-0-0_099071_2010-02-05_final
2011-11-13 11:02:27	ga_ls5t_ard_3-0-0_109077_2011-11-13_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