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
1988-02-02 09:34:21	ga_ls5t_ard_3-0-0_098072_1988-02-02_final
1988-03-13 08:52:11	ga_ls5t_ard_3-0-0_090089_1988-03-12_final
1988-05-21 10:44:57	ga_ls5t_ard_3-0-0_109076_1988-05-21_final
1988-11-11 10:56:16	ga_ls5t_ard_3-0-0_111073_1988-11-11_final
1989-05-11 09:36:22	ga_ls5t_ard_3-0-0_098079_1989-05-11_final
1989-06-18 10:38:10	ga_ls5t_ard_3-0-0_108081_1989-06-18_final
1989-07-03 09:54:42	ga_ls5t_ard_3-0-0_101081_1989-07-03_final
1989-07-21 11:18:51	ga_ls5t_ard_3-0-0_115076_1989-07-21_final
1989-08-07 08:44:48	ga_ls5t_ard_3-0-0_090078_1989-08-06_final
1989-12-28 09:34:12	ga_ls5t_ard_3-0-0_099072_1989-12-28_final
1990-05-20 08:54:30	ga_ls5t_ard_3-0-0_092088_1990-05-19_final
1990-07-23 09:30:00	ga_ls5t_ard_3-1-0_099069_1990-07-23_final
1990-07-24 09:33:35	ga_ls5t_ard_3-0-0_099078_1990-07-24_final
1991-05-18 10:10:39	ga_ls5t_ard_3-0-0_105072_1991-05-18_final
1992-01-19 09:40:10	ga_ls5t_ard_3-0-0_099084_1992-01-19_final
1992-02-19 08:57:36	ga_ls5t_ard_3-0-0_092086_1992-02-18_final
1992-02-26 10:38:43	ga_ls5t_ard_3-0-0_109076_1992-02-26_final
1994-02-02 11:07:26	ga_ls5t_ard_3-0-0_114078_1994-02-02_final
1994-04-24 10:06:55	ga_ls5t_ard_3-0-0_105069_1994-04-24_final
1994-05-24 08:42:39	ga_ls5t_ard_3-0-0_091076_1994-05-23_final
1994-11-17 09:23:51	ga_ls5t_ard_3-0-0_098083_1994-11-16_final
1995-04-21 10:34:47	ga_ls5t_ard_3-0-0_111074_1995-04-21_final
1995-06-14 08:17:58	ga_ls5t_ard_3-0-0_089078_1995-06-13_final
1995-10-19 09:09:54	ga_ls5t_ard_3-0-0_098084_1995-10-18_final
1997-07-17 10:44:39	ga_ls5t_ard_3-0-0_109075_1997-07-17_final
1998-11-24 10:12:41	ga_ls5t_ard_3-0-0_102082_1998-11-24_final
1999-06-07 10:37:46	ga_ls5t_ard_3-0-0_107070_1999-06-07_final
1999-08-02 09:48:50	ga_ls5t_ard_3-0-0_099072_1999-08-02_final
1999-08-24 10:51:34	ga_ls5t_ard_3-0-0_109075_1999-08-24_final
2003-11-13 10:14:04	ga_ls5t_ard_3-0-0_103072_2003-11-13_final
2003-12-17 10:02:29	ga_ls5t_ard_3-1-0_101073_2003-12-17_final
2004-02-13 10:39:04	ga_ls5t_ard_3-0-0_107071_2004-02-13_final
2004-06-17 10:15:09	ga_ls5t_ard_3-0-0_102082_2004-06-17_final
2005-02-03 10:22:12	ga_ls5t_ard_3-0-0_103072_2005-02-03_final
2005-07-02 10:45:12	ga_ls5t_ard_3-0-0_106080_2005-07-02_final
2006-10-15 10:15:50	ga_ls5t_ard_3-0-0_100083_2006-10-15_final
2006-11-09 10:04:18	ga_ls5t_ard_3-0-0_099069_2006-11-09_final
2007-01-29 09:12:27	ga_ls5t_ard_3-0-0_090077_2007-01-28_final
2007-01-29 10:48:32	ga_ls5t_ard_3-0-0_106070_2007-01-29_final
2007-06-21 11:46:20	ga_ls5t_ard_3-0-0_115078_2007-06-21_final
2007-09-30 10:26:37	ga_ls5t_ard_3-0-0_102082_2007-09-30_final
2007-10-01 11:08:40	ga_ls5t_ard_3-0-0_109079_2007-10-01_final
2009-01-31 10:10:58	ga_ls5t_ard_3-0-0_101077_2009-01-31_final
2009-04-30 10:06:45	ga_ls5t_ard_3-0-0_100077_2009-04-30_final
2011-07-16 10:15:01	ga_ls5t_ard_3-0-0_101078_2011-07-16_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