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

47 results

Time (local)	Label
1987-05-24 09:14:38	ga_ls5t_ard_3-0-0_096067_1987-05-23_final
1988-03-07 09:20:26	ga_ls5t_ard_3-0-0_096067_1988-03-06_final
1988-07-10 08:53:33	ga_ls5t_ard_3-1-0_091075_1988-07-09_final
1988-12-02 09:40:18	ga_ls5t_ard_3-0-0_098084_1988-12-02_final
1989-02-12 10:22:48	ga_ls5t_ard_3-0-0_106068_1989-02-12_final
1989-04-15 10:36:38	ga_ls5t_ard_3-0-0_108074_1989-04-15_final
1990-06-17 09:10:45	ga_ls5t_ard_3-0-0_096067_1990-06-16_final
1990-07-03 09:10:44	ga_ls5t_ard_3-0-0_096067_1990-07-02_final
1990-11-04 09:38:44	ga_ls5t_ard_3-0-0_100077_1990-11-04_final
1991-04-10 09:06:14	ga_ls5t_ard_3-0-0_095067_1991-04-09_final
1991-04-17 09:12:32	ga_ls5t_ard_3-0-0_096067_1991-04-16_final
1991-06-04 09:13:21	ga_ls5t_ard_3-0-0_096067_1991-06-03_final
1991-09-08 09:14:25	ga_ls5t_ard_3-0-0_096067_1991-09-07_final
1992-05-10 09:34:51	ga_ls5t_ard_3-0-0_099072_1992-05-10_final
1993-01-21 09:32:26	ga_ls5t_ard_3-0-0_099071_1993-01-21_final
1993-06-06 08:51:02	ga_ls5t_ard_3-0-0_091089_1993-06-05_final
1993-09-21 08:29:27	ga_ls5t_ard_3-0-0_088082_1993-09-20_final
1994-09-10 09:49:57	ga_ls5t_ard_3-0-0_102081_1994-09-10_final
1994-12-14 10:39:23	ga_ls5t_ard_3-0-0_111073_1994-12-14_final
1995-06-27 09:25:21	ga_ls5t_ard_3-0-0_100078_1995-06-26_final
1995-12-02 09:33:14	ga_ls5t_ard_3-0-0_102081_1995-12-02_final
1996-02-03 08:49:00	ga_ls5t_ard_3-0-0_095067_1996-02-02_final
1996-03-01 08:35:05	ga_ls5t_ard_3-1-0_092074_1996-02-29_final
1997-05-24 09:41:47	ga_ls5t_ard_3-0-0_099077_1997-05-24_final
1997-05-31 09:48:13	ga_ls5t_ard_3-0-0_100077_1997-05-31_final
1997-06-24 10:37:17	ga_ls5t_ard_3-0-0_108074_1997-06-24_final
1997-10-30 10:41:11	ga_ls5t_ard_3-0-0_108074_1997-10-30_final
1997-12-12 10:27:18	ga_ls5t_ard_3-1-0_105083_1997-12-12_final
1998-01-18 10:43:05	ga_ls5t_ard_3-0-0_108074_1998-01-18_final
1998-02-04 09:46:38	ga_ls5t_ard_3-0-0_099071_1998-02-04_final
1998-05-24 10:57:29	ga_ls5t_ard_3-0-0_110074_1998-05-24_final
1998-10-06 09:23:15	ga_ls5t_ard_3-0-0_095067_1998-10-05_final
1998-10-07 10:09:42	ga_ls5t_ard_3-0-0_102075_1998-10-07_final
1999-11-06 09:46:22	ga_ls5t_ard_3-0-0_099070_1999-11-06_final
2003-08-05 10:38:33	ga_ls5t_ard_3-0-0_107075_2003-08-05_final
2005-01-30 10:48:04	ga_ls5t_ard_3-0-0_107075_2005-01-30_final
2005-05-06 10:49:00	ga_ls5t_ard_3-0-0_107075_2005-05-06_final
2005-05-18 09:39:42	ga_ls5t_ard_3-0-0_095087_2005-05-18_final
2005-08-02 10:01:27	ga_ls5t_ard_3-0-0_099078_2005-08-02_final
2005-09-12 09:57:28	ga_ls5t_ard_3-0-0_098083_2005-09-12_final
2005-10-12 10:07:20	ga_ls5t_ard_3-0-0_100077_2005-10-12_final
2006-03-14 10:04:37	ga_ls5t_ard_3-0-0_099078_2006-03-14_final
2006-12-16 10:27:56	ga_ls5t_ard_3-0-0_102081_2006-12-16_final
2007-01-16 09:39:18	ga_ls5t_ard_3-1-0_095067_2007-01-16_final
2007-07-06 09:22:23	ga_ls5t_ard_3-1-0_092074_2007-07-05_final
2007-09-29 09:37:23	ga_ls5t_ard_3-0-0_095067_2007-09-29_final
2009-08-20 10:08:41	ga_ls5t_ard_3-0-0_100077_2009-08-20_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