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

52 results

Time (local)	Label
1987-12-08 10:21:37	ga_ls5t_ard_3-0-0_106069_1987-12-08_final
1988-06-16 09:41:42	ga_ls5t_ard_3-0-0_099072_1988-06-16_final
1988-08-04 08:51:49	ga_ls5t_ard_3-0-0_090086_1988-08-03_final
1988-08-16 10:50:38	ga_ls5t_ard_3-0-0_110074_1988-08-16_final
1989-02-10 09:03:49	ga_ls5t_ard_3-0-0_092087_1989-02-09_final
1989-09-23 09:35:40	ga_ls5t_ard_3-0-0_099069_1989-09-23_final
1990-05-10 09:53:29	ga_ls5t_ard_3-0-0_102081_1990-05-10_final
1990-06-01 09:12:45	ga_ls5t_ard_3-0-0_096072_1990-05-31_final
1991-01-20 09:12:23	ga_ls5t_ard_3-0-0_095086_1991-01-19_final
1991-10-23 10:27:06	ga_ls5t_ard_3-0-0_107078_1991-10-23_final
1991-11-29 09:09:47	ga_ls5t_ard_3-0-0_094085_1991-11-28_final
1992-04-15 09:40:53	ga_ls5t_ard_3-0-0_100071_1992-04-15_final
1992-10-09 08:44:24	ga_ls5t_ard_3-1-0_091075_1992-10-08_final
1993-01-02 09:07:17	ga_ls5t_ard_3-0-0_094086_1993-01-01_final
1993-02-25 10:02:48	ga_ls5t_ard_3-0-0_104069_1993-02-25_final
1993-04-06 10:58:30	ga_ls5t_ard_3-0-0_112084_1993-04-06_final
1993-04-08 10:42:33	ga_ls5t_ard_3-0-0_110075_1993-04-08_final
1993-04-15 10:48:01	ga_ls5t_ard_3-0-0_111073_1993-04-15_final
1993-06-22 10:23:27	ga_ls5t_ard_3-0-0_107073_1993-06-22_final
1993-10-20 09:34:05	ga_ls5t_ard_3-0-0_099074_1993-10-20_final
1993-10-21 08:41:14	ga_ls5t_ard_3-0-0_090081_1993-10-20_final
1994-06-16 08:47:34	ga_ls5t_ard_3-1-0_092074_1994-06-15_final
1994-09-26 09:49:07	ga_ls5t_ard_3-0-0_102080_1994-09-26_final
1994-10-14 09:35:48	ga_ls5t_ard_3-0-0_100079_1994-10-14_final
1996-06-10 10:39:49	ga_ls5t_ard_3-0-0_111077_1996-06-10_final
1996-07-21 09:00:30	ga_ls5t_ard_3-0-0_094086_1996-07-20_final
1996-07-22 09:40:13	ga_ls5t_ard_3-0-0_101077_1996-07-22_final
1996-07-24 09:24:23	ga_ls5t_ard_3-0-0_099068_1996-07-23_final
1996-10-09 09:04:48	ga_ls5t_ard_3-0-0_094086_1996-10-08_final
1996-12-22 09:43:50	ga_ls5t_ard_3-0-0_100082_1996-12-22_final
1997-08-28 09:45:24	ga_ls5t_ard_3-0-0_099078_1997-08-28_final
1997-11-09 09:41:38	ga_ls5t_ard_3-0-0_098079_1997-11-09_final
1997-11-25 09:38:24	ga_ls5t_ard_3-0-0_098070_1997-11-25_final
1998-06-03 09:59:26	ga_ls5t_ard_3-0-0_100083_1998-06-03_final
1999-02-11 09:29:36	ga_ls5t_ard_3-0-0_095082_1999-02-10_final
1999-02-17 10:26:39	ga_ls5t_ard_3-0-0_105070_1999-02-17_final
1999-04-01 10:11:58	ga_ls5t_ard_3-0-0_102081_1999-04-01_final
1999-04-19 09:58:02	ga_ls5t_ard_3-0-0_100077_1999-04-19_final
1999-07-09 09:03:02	ga_ls5t_ard_3-0-0_091081_1999-07-08_final
2004-06-18 10:56:02	ga_ls5t_ard_3-0-0_109076_2004-06-18_final
2004-09-25 09:51:00	ga_ls5t_ard_3-0-0_098077_2004-09-25_final
2004-10-18 09:55:41	ga_ls5t_ard_3-0-0_099072_2004-10-18_final
2005-06-20 10:18:26	ga_ls5t_ard_3-0-0_102075_2005-06-20_final
2005-10-28 10:07:19	ga_ls5t_ard_3-0-0_100077_2005-10-28_final
2007-03-17 10:10:51	ga_ls5t_ard_3-0-0_099084_2007-03-17_final
2009-06-28 11:30:11	ga_ls5t_ard_3-0-0_113082_2009-06-28_final
2010-02-14 09:57:51	ga_ls5t_ard_3-0-0_098077_2010-02-14_final
2010-02-23 11:32:58	ga_ls5t_ard_3-0-0_113083_2010-02-23_final
2010-04-05 09:43:30	ga_ls5t_ard_3-0-0_096072_2010-04-05_final
2011-01-24 10:44:19	ga_ls5t_ard_3-0-0_106072_2011-01-24_final
2011-09-08 09:40:36	ga_ls5t_ard_3-0-0_095086_2011-09-08_final
2011-10-28 11:02:01	ga_ls5t_ard_3-0-0_109075_2011-10-28_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