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

54 results

Time (local)	Label
1987-10-02 09:53:06	ga_ls5t_ard_3-0-0_101078_1987-10-02_final
1988-01-04 10:08:18	ga_ls5t_ard_3-0-0_103081_1988-01-04_final
1988-07-15 09:16:30	ga_ls5t_ard_3-0-0_094086_1988-07-14_final
1988-09-20 11:22:44	ga_ls5t_ard_3-0-0_115077_1988-09-20_final
1989-06-02 10:35:49	ga_ls5t_ard_3-0-0_108074_1989-06-02_final
1990-06-06 09:31:18	ga_ls5t_ard_3-0-0_099072_1990-06-06_final
1990-07-06 09:46:00	ga_ls5t_ard_3-0-0_101078_1990-07-06_final
1990-08-09 09:33:54	ga_ls5t_ard_3-0-0_099079_1990-08-09_final
1990-08-22 09:06:08	ga_ls5t_ard_3-0-0_094087_1990-08-21_final
1990-11-28 10:26:49	ga_ls5t_ard_3-0-0_108074_1990-11-28_final
1990-12-14 10:26:54	ga_ls5t_ard_3-0-0_108074_1990-12-14_final
1990-12-24 09:27:45	ga_ls5t_ard_3-0-0_098080_1990-12-23_final
1991-06-25 09:33:46	ga_ls5t_ard_3-0-0_099071_1991-06-25_final
1992-01-15 10:03:41	ga_ls5t_ard_3-0-0_103081_1992-01-15_final
1992-05-03 09:27:09	ga_ls5t_ard_3-0-0_098068_1992-05-02_final
1992-05-25 10:34:20	ga_ls5t_ard_3-0-0_108082_1992-05-25_final
1993-11-04 10:29:36	ga_ls5t_ard_3-0-0_108074_1993-11-04_final
1993-12-24 08:41:12	ga_ls5t_ard_3-0-0_090082_1993-12-23_final
1994-05-25 09:27:06	ga_ls5t_ard_3-0-0_098079_1994-05-24_final
1995-01-27 09:26:51	ga_ls5t_ard_3-0-0_099081_1995-01-26_final
1995-05-18 10:15:02	ga_ls5t_ard_3-0-0_108074_1995-05-18_final
1995-06-19 10:13:34	ga_ls5t_ard_3-0-0_108074_1995-06-19_final
1996-03-18 09:20:39	ga_ls5t_ard_3-0-0_099077_1996-03-17_final
1996-04-03 09:21:40	ga_ls5t_ard_3-0-0_099077_1996-04-02_final
1996-04-27 10:12:34	ga_ls5t_ard_3-0-0_107077_1996-04-27_final
1996-05-19 09:37:11	ga_ls5t_ard_3-0-0_101078_1996-05-19_final
1996-11-12 10:28:11	ga_ls5t_ard_3-0-0_108074_1996-11-12_final
1996-11-13 09:34:36	ga_ls5t_ard_3-0-0_099079_1996-11-13_final
1997-02-23 10:39:06	ga_ls5t_ard_3-0-0_109074_1997-02-23_final
1997-04-16 10:13:57	ga_ls5t_ard_3-0-0_105068_1997-04-16_final
1997-04-28 10:42:18	ga_ls5t_ard_3-0-0_109076_1997-04-28_final
1997-07-11 11:22:20	ga_ls5t_ard_3-0-0_115077_1997-07-11_final
1997-08-28 09:41:25	ga_ls5t_ard_3-0-0_099068_1997-08-28_final
1998-01-18 10:43:05	ga_ls5t_ard_3-0-0_108074_1998-01-18_final
1998-12-05 09:49:41	ga_ls5t_ard_3-0-0_099071_1998-12-05_final
1999-02-28 10:08:05	ga_ls5t_ard_3-0-0_102070_1999-02-28_final
1999-03-19 10:40:44	ga_ls5t_ard_3-0-0_107075_1999-03-19_final
1999-05-06 10:40:24	ga_ls5t_ard_3-0-0_107075_1999-05-06_final
1999-05-15 09:00:23	ga_ls5t_ard_3-0-0_090088_1999-05-14_final
1999-05-30 11:30:32	ga_ls5t_ard_3-0-0_115078_1999-05-30_final
2003-07-25 10:56:53	ga_ls5t_ard_3-0-0_110075_2003-07-25_final
2003-07-27 10:44:10	ga_ls5t_ard_3-0-0_108074_2003-07-27_final
2003-08-05 10:38:33	ga_ls5t_ard_3-0-0_107075_2003-08-05_final
2004-11-04 10:40:53	ga_ls5t_ard_3-0-0_106076_2004-11-04_final
2005-04-20 10:48:53	ga_ls5t_ard_3-0-0_107075_2005-04-20_final
2005-06-27 10:25:51	ga_ls5t_ard_3-0-0_103078_2005-06-27_final
2006-07-03 09:21:31	ga_ls5t_ard_3-1-0_092074_2006-07-02_final
2006-12-15 11:21:09	ga_ls5t_ard_3-0-0_111075_2006-12-15_final
2007-04-27 10:02:03	ga_ls5t_ard_3-0-0_098078_2007-04-27_final
2007-06-14 11:39:05	ga_ls5t_ard_3-0-0_114075_2007-06-14_final
2007-08-15 10:12:41	ga_ls5t_ard_3-0-0_100077_2007-08-15_final
2009-12-13 10:39:36	ga_ls5t_ard_3-0-0_105074_2009-12-13_final
2010-01-31 09:49:02	ga_ls5t_ard_3-0-0_096086_2010-01-31_final
2010-04-09 09:19:58	ga_ls5t_ard_3-0-0_092075_2010-04-08_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