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
1988-10-15 09:34:42	ga_ls5t_ard_3-0-0_098070_1988-10-15_final
1988-11-26 08:37:20	ga_ls5t_ard_3-0-0_088081_1988-11-25_final
1989-03-06 09:49:21	ga_ls5t_ard_3-0-0_100078_1989-03-06_final
1989-03-27 10:08:23	ga_ls5t_ard_3-0-0_103081_1989-03-27_final
1989-05-14 10:07:59	ga_ls5t_ard_3-0-0_103081_1989-05-14_final
1990-04-07 09:06:29	ga_ls5t_ard_3-0-0_095072_1990-04-06_final
1990-05-22 08:42:07	ga_ls5t_ard_3-0-0_090088_1990-05-21_final
1990-12-09 08:32:12	ga_ls5t_ard_3-0-0_089081_1990-12-08_final
1990-12-31 09:30:56	ga_ls5t_ard_3-0-0_099072_1990-12-31_final
1991-04-22 09:31:56	ga_ls5t_ard_3-0-0_099069_1991-04-22_final
1991-06-24 08:56:29	ga_ls5t_ard_3-0-0_092086_1991-06-23_final
1991-12-07 09:53:21	ga_ls5t_ard_3-0-0_102070_1991-12-07_final
1992-07-17 09:09:47	ga_ls5t_ard_3-0-0_095073_1992-07-16_final
1992-10-25 10:25:58	ga_ls5t_ard_3-0-0_107082_1992-10-25_final
1992-12-08 09:08:02	ga_ls5t_ard_3-0-0_095073_1992-12-07_final
1993-05-19 10:39:49	ga_ls5t_ard_3-0-0_109083_1993-05-19_final
1993-08-06 09:55:38	ga_ls5t_ard_3-0-0_102081_1993-08-06_final
1993-10-14 10:08:49	ga_ls5t_ard_3-0-0_105068_1993-10-14_final
1993-11-25 10:47:35	ga_ls5t_ard_3-0-0_111073_1993-11-25_final
1994-01-24 09:31:12	ga_ls5t_ard_3-0-0_099069_1994-01-24_final
1994-06-08 09:38:47	ga_ls5t_ard_3-0-0_100078_1994-06-08_final
1994-08-27 09:35:57	ga_ls5t_ard_3-0-0_100076_1994-08-27_final
1995-01-27 09:25:15	ga_ls5t_ard_3-0-0_099077_1995-01-26_final
1995-03-16 09:23:19	ga_ls5t_ard_3-0-0_099077_1995-03-15_final
1995-11-27 09:12:56	ga_ls5t_ard_3-0-0_099077_1995-11-26_final
1996-06-28 08:53:07	ga_ls5t_ard_3-0-0_093086_1996-06-27_final
1996-11-13 09:34:12	ga_ls5t_ard_3-0-0_099078_1996-11-13_final
1997-01-25 11:09:10	ga_ls5t_ard_3-0-0_114075_1997-01-25_final
1997-02-17 11:16:20	ga_ls5t_ard_3-1-0_115075_1997-02-17_final
1997-06-16 09:49:09	ga_ls5t_ard_3-0-0_100078_1997-06-16_final
1997-10-15 09:43:33	ga_ls5t_ard_3-0-0_099070_1997-10-15_final
1998-03-08 09:46:48	ga_ls5t_ard_3-1-0_099070_1998-03-08_final
1999-03-14 10:19:52	ga_ls5t_ard_3-0-0_104069_1999-03-14_final
1999-08-25 09:57:07	ga_ls5t_ard_3-0-0_100078_1999-08-25_final
1999-09-19 09:50:33	ga_ls5t_ard_3-0-0_099079_1999-09-19_final
2003-11-05 09:24:25	ga_ls5t_ard_3-1-0_095072_2003-11-04_final
2004-10-02 09:57:44	ga_ls5t_ard_3-0-0_099078_2004-10-02_final
2005-01-13 10:05:22	ga_ls5t_ard_3-0-0_100077_2005-01-13_final
2005-02-23 09:57:01	ga_ls5t_ard_3-0-0_099070_2005-02-23_final
2005-03-15 11:13:02	ga_ls5t_ard_3-0-0_111074_2005-03-15_final
2006-06-02 10:02:42	ga_ls5t_ard_3-0-0_099070_2006-06-02_final
2007-04-02 10:06:00	ga_ls5t_ard_3-0-0_099072_2007-04-02_final
2007-09-25 10:06:56	ga_ls5t_ard_3-0-0_099079_2007-09-25_final
2009-11-01 10:00:35	ga_ls5t_ard_3-0-0_099070_2009-11-01_final
2010-10-08 10:23:17	ga_ls5t_ard_3-0-0_102081_2010-10-08_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