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

51 results

Time (local)	Label
1987-08-23 09:05:53	ga_ls5t_ard_3-0-0_093086_1987-08-22_final
1987-12-14 09:50:13	ga_ls5t_ard_3-0-0_100083_1987-12-14_final
1988-01-24 09:39:57	ga_ls5t_ard_3-0-0_099071_1988-01-24_final
1988-07-07 09:58:44	ga_ls5t_ard_3-0-0_102068_1988-07-07_final
1988-12-25 09:43:26	ga_ls5t_ard_3-0-0_099077_1988-12-25_final
1989-03-07 08:58:29	ga_ls5t_ard_3-0-0_091090_1989-03-06_final
1989-03-15 09:43:14	ga_ls5t_ard_3-0-0_099079_1989-03-15_final
1989-11-28 09:27:30	ga_ls5t_ard_3-0-0_097084_1989-11-27_final
1992-07-17 09:09:47	ga_ls5t_ard_3-0-0_095073_1992-07-16_final
1993-08-30 09:07:47	ga_ls5t_ard_3-0-0_094085_1993-08-29_final
1993-10-04 09:33:00	ga_ls5t_ard_3-0-0_099071_1993-10-04_final
1995-05-03 09:21:42	ga_ls5t_ard_3-0-0_099078_1995-05-02_final
1995-09-08 09:15:50	ga_ls5t_ard_3-0-0_099078_1995-09-07_final
1995-12-30 08:24:49	ga_ls5t_ard_3-1-0_090090_1995-12-29_final
1996-11-03 10:34:21	ga_ls5t_ard_3-0-0_109075_1996-11-03_final
1997-01-18 10:59:28	ga_ls5t_ard_3-0-0_113067_1997-01-18_final
1997-01-20 09:10:42	ga_ls5t_ard_3-0-0_095073_1997-01-19_final
1997-03-30 09:34:04	ga_ls5t_ard_3-0-0_098078_1997-03-30_final
1998-01-25 10:50:36	ga_ls5t_ard_3-0-0_109077_1998-01-25_final
1998-05-19 09:00:22	ga_ls5t_ard_3-1-0_091075_1998-05-18_final
1998-05-23 10:16:59	ga_ls5t_ard_3-0-0_103081_1998-05-23_final
1999-02-13 10:52:57	ga_ls5t_ard_3-0-0_109074_1999-02-13_final
1999-07-26 09:45:04	ga_ls5t_ard_3-0-0_098078_1999-07-26_final
2003-11-05 09:24:25	ga_ls5t_ard_3-1-0_095072_2003-11-04_final
2003-11-27 08:51:48	ga_ls5t_ard_3-0-0_089082_2003-11-26_final
2003-12-03 09:52:26	ga_ls5t_ard_3-0-0_099079_2003-12-03_final
2004-01-12 09:01:39	ga_ls5t_ard_3-1-0_091075_2004-01-11_final
2004-01-26 10:52:57	ga_ls5t_ard_3-0-0_109075_2004-01-26_final
2004-01-27 09:58:32	ga_ls5t_ard_3-0-0_100078_2004-01-27_final
2004-02-05 09:51:59	ga_ls5t_ard_3-0-0_099077_2004-02-05_final
2004-07-30 11:34:39	ga_ls5t_ard_3-0-0_115077_2004-07-30_final
2004-12-11 10:59:44	ga_ls5t_ard_3-0-0_109075_2004-12-11_final
2005-03-27 09:57:22	ga_ls5t_ard_3-0-0_099070_2005-03-27_final
2005-04-14 09:44:41	ga_ls5t_ard_3-1-0_097069_2005-04-14_final
2005-05-31 10:43:25	ga_ls5t_ard_3-0-0_106076_2005-05-31_final
2005-06-15 10:00:40	ga_ls5t_ard_3-0-0_099077_2005-06-15_final
2005-06-23 09:16:04	ga_ls5t_ard_3-0-0_091089_2005-06-22_final
2005-07-12 11:19:59	ga_ls5t_ard_3-0-0_112074_2005-07-12_final
2006-09-27 10:27:12	ga_ls5t_ard_3-0-0_102081_2006-09-27_final
2006-11-04 09:44:55	ga_ls5t_ard_3-1-0_096067_2006-11-04_final
2007-04-25 10:14:02	ga_ls5t_ard_3-0-0_100077_2007-04-25_final
2007-06-14 09:58:13	ga_ls5t_ard_3-0-0_098070_2007-06-14_final
2008-02-16 10:01:42	ga_ls5t_ard_3-0-0_099072_2008-02-16_final
2008-10-06 09:53:44	ga_ls5t_ard_3-0-0_098083_2008-10-06_final
2008-10-21 10:45:39	ga_ls5t_ard_3-0-0_107075_2008-10-21_final
2008-11-24 10:33:22	ga_ls5t_ard_3-0-0_105076_2008-11-24_final
2009-02-03 10:38:21	ga_ls5t_ard_3-0-0_106068_2009-02-03_final
2009-04-26 10:29:49	ga_ls5t_ard_3-0-0_104073_2009-04-26_final
2009-09-14 10:03:15	ga_ls5t_ard_3-0-0_099078_2009-09-14_final
2009-11-09 10:52:05	ga_ls5t_ard_3-0-0_107075_2009-11-09_final
2010-10-10 10:09:18	ga_ls5t_ard_3-0-0_100077_2010-10-10_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years