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
1987-10-13 09:36:22	ga_ls5t_ard_3-0-0_098082_1987-10-13_final
1987-12-30 09:50:53	ga_ls5t_ard_3-0-0_100084_1987-12-30_final
1988-01-05 09:14:41	ga_ls5t_ard_3-0-0_094086_1988-01-04_final
1988-04-21 08:56:13	ga_ls5t_ard_3-0-0_091083_1988-04-20_final
1989-06-11 08:50:56	ga_ls5t_ard_3-1-0_091075_1989-06-10_final
1989-06-19 09:43:20	ga_ls5t_ard_3-0-0_099083_1989-06-19_final
1989-09-15 08:52:17	ga_ls5t_ard_3-0-0_091084_1989-09-14_final
1989-10-01 10:29:51	ga_ls5t_ard_3-0-0_107081_1989-10-01_final
1990-02-27 09:06:08	ga_ls5t_ard_3-0-0_094084_1990-02-26_final
1990-08-03 10:07:00	ga_ls5t_ard_3-0-0_105069_1990-08-03_final
1991-03-22 10:18:43	ga_ls5t_ard_3-0-0_106079_1991-03-22_final
1991-04-25 10:07:15	ga_ls5t_ard_3-0-0_104080_1991-04-25_final
1991-05-29 09:50:43	ga_ls5t_ard_3-0-0_102068_1991-05-29_final
1991-09-21 08:50:50	ga_ls5t_ard_3-0-0_091085_1991-09-20_final
1991-11-15 08:58:03	ga_ls5t_ard_3-0-0_092087_1991-11-14_final
1991-12-19 10:17:31	ga_ls5t_ard_3-0-0_106069_1991-12-19_final
1992-07-28 08:57:05	ga_ls5t_ard_3-0-0_092088_1992-07-27_final
1992-08-10 10:02:05	ga_ls5t_ard_3-0-0_103081_1992-08-10_final
1993-04-17 10:36:04	ga_ls5t_ard_3-0-0_109074_1993-04-17_final
1993-12-01 08:38:23	ga_ls5t_ard_3-1-0_089090_1993-11-30_final
1994-01-24 11:12:29	ga_ls5t_ard_3-0-0_115075_1994-01-24_final
1994-04-04 10:34:00	ga_ls5t_ard_3-0-0_109074_1994-04-04_final
1994-04-29 10:26:10	ga_ls5t_ard_3-0-0_108071_1994-04-29_final
1994-09-04 10:23:59	ga_ls5t_ard_3-0-0_108073_1994-09-04_final
1994-12-30 10:36:27	ga_ls5t_ard_3-0-0_111067_1994-12-30_final
1995-01-15 08:59:24	ga_ls5t_ard_3-0-0_095073_1995-01-14_final
1995-11-17 08:36:44	ga_ls5t_ard_3-0-0_093080_1995-11-16_final
1996-03-06 10:30:03	ga_ls5t_ard_3-0-0_111067_1996-03-06_final
1996-06-06 09:27:49	ga_ls5t_ard_3-0-0_099083_1996-06-05_final
1996-06-23 10:10:24	ga_ls5t_ard_3-0-0_106079_1996-06-23_final
1996-07-17 09:21:49	ga_ls5t_ard_3-0-0_098078_1996-07-16_final
1997-06-10 08:51:33	ga_ls5t_ard_3-0-0_090089_1997-06-09_final
1997-08-16 09:18:19	ga_ls5t_ard_3-0-0_095073_1997-08-15_final
1998-01-07 09:24:30	ga_ls5t_ard_3-0-0_095079_1998-01-06_final
1998-01-15 10:14:55	ga_ls5t_ard_3-0-0_103081_1998-01-15_final
1999-05-19 10:11:15	ga_ls5t_ard_3-0-0_102080_1999-05-19_final
1999-07-09 10:41:31	ga_ls5t_ard_3-0-0_107080_1999-07-09_final
1999-11-13 09:55:30	ga_ls5t_ard_3-0-0_100078_1999-11-13_final
2003-12-24 10:07:33	ga_ls5t_ard_3-0-0_102070_2003-12-24_final
2004-01-05 10:34:20	ga_ls5t_ard_3-0-0_106075_2004-01-05_final
2004-02-28 09:59:06	ga_ls5t_ard_3-0-0_100079_2004-02-28_final
2005-04-08 10:26:31	ga_ls5t_ard_3-0-0_103081_2005-04-08_final
2005-08-20 09:48:25	ga_ls5t_ard_3-0-0_097076_2005-08-20_final
2005-10-30 09:52:10	ga_ls5t_ard_3-0-0_098070_2005-10-30_final
2006-09-17 09:51:12	ga_ls5t_ard_3-0-0_096084_2006-09-17_final
2006-10-25 09:13:19	ga_ls5t_ard_3-0-0_090081_2006-10-24_final
2007-05-22 11:36:53	ga_ls5t_ard_3-0-0_113084_2007-05-22_final
2008-12-16 09:54:35	ga_ls5t_ard_3-0-0_099070_2008-12-16_final
2009-10-20 11:15:50	ga_ls5t_ard_3-0-0_111073_2009-10-20_final
2010-11-08 09:40:11	ga_ls5t_ard_3-0-0_095082_2010-11-08_final
2011-05-09 10:39:24	ga_ls5t_ard_3-0-0_105076_2011-05-09_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years