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

48 results

Time (local)	Label
1987-10-09 10:00:37	ga_ls5t_ard_3-0-0_102081_1987-10-09_final
1988-01-12 10:55:05	ga_ls5t_ard_3-0-0_111074_1988-01-12_final
1988-04-12 10:37:38	ga_ls5t_ard_3-0-0_108074_1988-04-12_final
1988-06-13 09:08:47	ga_ls5t_ard_3-0-0_094067_1988-06-12_final
1988-08-15 10:10:09	ga_ls5t_ard_3-0-0_103081_1988-08-15_final
1989-08-06 09:40:27	ga_ls5t_ard_3-0-0_099078_1989-08-06_final
1989-11-10 11:16:26	ga_ls5t_ard_3-0-0_115077_1989-11-10_final
1991-05-19 09:13:04	ga_ls5t_ard_3-0-0_096067_1991-05-18_final
1991-12-29 09:14:55	ga_ls5t_ard_3-0-0_096067_1991-12-28_final
1992-03-20 09:10:00	ga_ls5t_ard_3-0-0_094086_1992-03-19_final
1992-07-02 09:56:25	ga_ls5t_ard_3-0-0_102081_1992-07-02_final
1993-10-31 09:12:41	ga_ls5t_ard_3-0-0_096067_1993-10-30_final
1994-04-25 09:10:29	ga_ls5t_ard_3-0-0_096067_1994-04-24_final
1994-07-02 10:26:02	ga_ls5t_ard_3-0-0_108074_1994-07-02_final
1995-01-31 10:37:40	ga_ls5t_ard_3-0-0_111073_1995-01-31_final
1995-07-05 10:12:50	ga_ls5t_ard_3-0-0_108074_1995-07-05_final
1995-10-09 10:08:16	ga_ls5t_ard_3-0-0_108074_1995-10-09_final
1995-10-25 10:07:22	ga_ls5t_ard_3-0-0_108074_1995-10-25_final
1995-10-31 09:32:47	ga_ls5t_ard_3-0-0_102081_1995-10-31_final
1995-11-26 10:07:20	ga_ls5t_ard_3-0-0_108074_1995-11-26_final
1995-12-23 09:48:14	ga_ls5t_ard_3-0-0_105068_1995-12-23_final
1996-06-17 09:03:29	ga_ls5t_ard_3-0-0_096067_1996-06-16_final
1996-08-04 09:06:01	ga_ls5t_ard_3-0-0_096067_1996-08-03_final
1996-09-10 09:30:33	ga_ls5t_ard_3-0-0_099077_1996-09-10_final
1996-09-19 09:27:16	ga_ls5t_ard_3-0-0_098083_1996-09-18_final
1996-11-21 10:22:48	ga_ls5t_ard_3-0-0_107075_1996-11-21_final
1997-05-03 09:18:32	ga_ls5t_ard_3-0-0_096067_1997-05-02_final
1997-07-26 10:38:23	ga_ls5t_ard_3-0-0_108074_1997-07-26_final
1998-02-11 09:55:21	ga_ls5t_ard_3-0-0_100077_1998-02-11_final
1998-07-25 09:28:54	ga_ls5t_ard_3-0-0_096067_1998-07-24_final
1998-09-24 09:01:42	ga_ls5t_ard_3-1-0_091075_1998-09-23_final
1999-08-25 09:56:43	ga_ls5t_ard_3-0-0_100077_1999-08-25_final
2003-08-19 10:50:45	ga_ls5t_ard_3-0-0_109074_2003-08-19_final
2004-07-15 10:37:53	ga_ls5t_ard_3-0-0_106075_2004-07-15_final
2004-09-16 09:56:58	ga_ls5t_ard_3-0-0_099077_2004-09-16_final
2004-10-13 09:35:02	ga_ls5t_ard_3-0-0_096067_2004-10-13_final
2005-02-18 09:37:12	ga_ls5t_ard_3-0-0_096067_2005-02-18_final
2005-05-25 09:37:58	ga_ls5t_ard_3-0-0_096067_2005-05-25_final
2005-05-30 10:01:21	ga_ls5t_ard_3-0-0_099079_2005-05-30_final
2005-10-06 10:44:03	ga_ls5t_ard_3-0-0_106076_2005-10-06_final
2006-07-09 10:26:11	ga_ls5t_ard_3-0-0_102081_2006-07-09_final
2006-11-20 09:45:03	ga_ls5t_ard_3-1-0_096067_2006-11-20_final
2007-04-10 10:59:23	ga_ls5t_ard_3-0-0_107082_2007-04-10_final
2008-06-02 09:38:37	ga_ls5t_ard_3-0-0_096067_2008-06-02_final
2008-09-11 09:58:42	ga_ls5t_ard_3-0-0_099078_2008-09-11_final
2008-09-19 10:49:30	ga_ls5t_ard_3-0-0_107082_2008-09-19_final
2008-11-15 09:03:09	ga_ls5t_ard_3-0-0_090083_2008-11-14_final
2010-05-23 09:41:20	ga_ls5t_ard_3-1-0_096067_2010-05-23_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