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
1987-10-05 10:20:52	ga_ls5t_ard_3-0-0_106070_1987-10-05_final
1988-03-05 09:34:22	ga_ls5t_ard_3-0-0_098071_1988-03-05_final
1988-05-26 09:27:26	ga_ls5t_ard_3-0-0_096083_1988-05-25_final
1988-10-06 09:41:46	ga_ls5t_ard_3-0-0_099072_1988-10-06_final
1988-10-24 11:10:12	ga_ls5t_ard_3-0-0_113077_1988-10-24_final
1988-10-30 10:31:57	ga_ls5t_ard_3-0-0_107074_1988-10-30_final
1989-03-01 11:11:25	ga_ls5t_ard_3-0-0_113082_1989-03-01_final
1989-11-04 08:39:11	ga_ls5t_ard_3-0-0_089085_1989-11-03_final
1989-11-23 09:09:47	ga_ls5t_ard_3-0-0_094086_1989-11-22_final
1989-11-30 09:08:18	ga_ls5t_ard_3-0-0_095067_1989-11-29_final
1990-05-04 10:28:28	ga_ls5t_ard_3-0-0_108076_1990-05-04_final
1990-07-16 08:43:22	ga_ls5t_ard_3-0-0_091076_1990-07-15_final
1991-05-15 09:41:19	ga_ls5t_ard_3-0-0_100076_1991-05-15_final
1991-12-15 10:48:19	ga_ls5t_ard_3-0-0_110084_1991-12-15_final
1992-11-28 08:33:59	ga_ls5t_ard_3-0-0_089081_1992-11-27_final
1993-06-30 09:35:56	ga_ls5t_ard_3-0-0_099078_1993-06-30_final
1993-12-01 08:35:36	ga_ls5t_ard_3-0-0_089083_1993-11-30_final
1994-01-29 09:54:30	ga_ls5t_ard_3-0-0_102081_1994-01-29_final
1994-03-01 09:12:01	ga_ls5t_ard_3-0-0_095084_1994-02-28_final
1994-03-11 09:46:08	ga_ls5t_ard_3-0-0_101077_1994-03-11_final
1994-03-29 11:13:12	ga_ls5t_ard_3-0-0_115079_1994-03-29_final
1994-07-31 09:57:08	ga_ls5t_ard_3-0-0_103081_1994-07-31_final
1994-10-23 09:25:20	ga_ls5t_ard_3-0-0_099069_1994-10-22_final
1994-12-23 10:32:31	ga_ls5t_ard_3-0-0_110072_1994-12-23_final
1995-04-17 09:19:36	ga_ls5t_ard_3-0-0_099071_1995-04-16_final
1995-05-19 09:18:11	ga_ls5t_ard_3-0-0_099071_1995-05-18_final
1995-10-01 09:18:03	ga_ls5t_ard_3-0-0_100071_1995-09-30_final
1995-12-15 08:58:36	ga_ls5t_ard_3-1-0_097069_1995-12-14_final
1996-02-02 08:11:39	ga_ls5t_ard_3-0-0_088082_1996-02-01_final
1996-04-03 11:00:57	ga_ls5t_ard_3-0-0_115078_1996-04-03_final
1996-09-27 08:39:27	ga_ls5t_ard_3-0-0_090086_1996-09-26_final
1996-10-10 09:44:31	ga_ls5t_ard_3-0-0_101077_1996-10-10_final
1997-02-14 10:42:07	ga_ls5t_ard_3-0-0_110067_1997-02-14_final
1998-02-28 10:41:18	ga_ls5t_ard_3-0-0_107083_1998-02-28_final
1998-04-08 09:10:45	ga_ls5t_ard_3-0-0_092087_1998-04-07_final
2004-08-05 10:56:52	ga_ls5t_ard_3-0-0_109075_2004-08-05_final
2004-12-21 11:37:23	ga_ls5t_ard_3-0-0_115076_2004-12-21_final
2005-03-11 11:38:31	ga_ls5t_ard_3-0-0_115076_2005-03-11_final
2005-10-17 10:23:29	ga_ls5t_ard_3-0-0_103071_2005-10-17_final
2005-11-10 09:39:51	ga_ls5t_ard_3-0-0_095085_2005-11-10_final
2006-04-29 10:16:59	ga_ls5t_ard_3-0-0_101076_2006-04-29_final
2006-07-31 11:22:42	ga_ls5t_ard_3-1-0_112067_2006-07-31_final
2006-09-13 10:15:05	ga_ls5t_ard_3-0-0_100082_2006-09-13_final
2006-12-03 09:23:03	ga_ls5t_ard_3-0-0_091089_2006-12-02_final
2007-02-12 11:00:56	ga_ls5t_ard_3-0-0_108070_2007-02-12_final
2007-03-11 09:11:03	ga_ls5t_ard_3-0-0_089089_2007-03-10_final
2007-05-12 10:55:56	ga_ls5t_ard_3-0-0_107074_2007-05-12_final
2007-10-03 09:20:12	ga_ls5t_ard_3-0-0_091086_2007-10-02_final
2008-01-13 10:19:03	ga_ls5t_ard_3-0-0_101083_2008-01-13_final
2008-03-19 10:00:16	ga_ls5t_ard_3-0-0_099070_2008-03-19_final
2008-09-01 10:59:36	ga_ls5t_ard_3-0-0_109075_2008-09-01_final
2009-05-22 11:11:22	ga_ls5t_ard_3-0-0_110083_2009-05-22_final
2009-09-11 09:30:43	ga_ls5t_ard_3-0-0_094074_2009-09-11_final
2010-04-16 11:05:24	ga_ls5t_ard_3-0-0_109076_2010-04-16_final
2011-05-13 10:12:39	ga_ls5t_ard_3-0-0_101071_2011-05-13_final
2011-05-22 10:06:51	ga_ls5t_ard_3-0-0_100072_2011-05-22_final
2011-06-20 09:36:54	ga_ls5t_ard_3-0-0_095075_2011-06-20_final
2011-08-29 09:02:02	ga_ls5t_ard_3-0-0_089082_2011-08-28_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