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

50 results

Time (local)	Label
1988-01-15 09:48:22	ga_ls5t_ard_3-0-0_100077_1988-01-15_final
1988-06-22 10:44:20	ga_ls5t_ard_3-0-0_109074_1988-06-22_final
1988-09-22 11:12:45	ga_ls5t_ard_3-0-0_113083_1988-09-22_final
1988-10-31 09:33:56	ga_ls5t_ard_3-0-0_098068_1988-10-31_final
1989-04-23 09:45:47	ga_ls5t_ard_3-0-0_100071_1989-04-23_final
1989-09-30 09:45:00	ga_ls5t_ard_3-0-0_100077_1989-09-30_final
1990-06-30 10:21:31	ga_ls5t_ard_3-0-0_107074_1990-06-30_final
1990-07-15 09:39:24	ga_ls5t_ard_3-0-0_100077_1990-07-15_final
1990-10-03 09:38:53	ga_ls5t_ard_3-0-0_100077_1990-10-03_final
1990-12-30 10:27:19	ga_ls5t_ard_3-0-0_108074_1990-12-30_final
1991-06-15 10:37:20	ga_ls5t_ard_3-0-0_109076_1991-06-15_final
1992-08-04 10:36:28	ga_ls5t_ard_3-0-0_109074_1992-08-04_final
1992-11-23 09:54:15	ga_ls5t_ard_3-0-0_102081_1992-11-23_final
1993-03-10 09:37:16	ga_ls5t_ard_3-0-0_099082_1993-03-10_final
1993-04-26 10:29:58	ga_ls5t_ard_3-0-0_108074_1993-04-26_final
1993-09-20 11:04:22	ga_ls5t_ard_3-0-0_113083_1993-09-20_final
1994-04-29 10:27:22	ga_ls5t_ard_3-0-0_108074_1994-04-29_final
1994-08-19 10:24:47	ga_ls5t_ard_3-0-0_108074_1994-08-19_final
1995-02-13 08:30:32	ga_ls5t_ard_3-0-0_090081_1995-02-12_final
1995-07-30 08:27:03	ga_ls5t_ard_3-1-0_091075_1995-07-29_final
1996-03-18 09:20:39	ga_ls5t_ard_3-0-0_099077_1996-03-17_final
1996-04-16 10:29:39	ga_ls5t_ard_3-0-0_110075_1996-04-16_final
1996-06-14 10:14:30	ga_ls5t_ard_3-0-0_107075_1996-06-14_final
1996-07-16 10:16:11	ga_ls5t_ard_3-0-0_107075_1996-07-16_final
1996-08-01 10:17:02	ga_ls5t_ard_3-0-0_107075_1996-08-01_final
1996-08-31 10:30:36	ga_ls5t_ard_3-0-0_109074_1996-08-31_final
1996-12-06 09:38:41	ga_ls5t_ard_3-0-0_100071_1996-12-06_final
1996-12-12 10:41:58	ga_ls5t_ard_3-0-0_110074_1996-12-12_final
1997-04-05 08:56:24	ga_ls5t_ard_3-0-0_092076_1997-04-04_final
1997-06-17 10:31:15	ga_ls5t_ard_3-0-0_107075_1997-06-17_final
1997-06-26 08:51:41	ga_ls5t_ard_3-0-0_090088_1997-06-25_final
1997-12-26 10:36:47	ga_ls5t_ard_3-0-0_107075_1997-12-26_final
1998-02-25 10:09:33	ga_ls5t_ard_3-0-0_102081_1998-02-25_final
1998-06-03 09:57:02	ga_ls5t_ard_3-0-0_100077_1998-06-03_final
1998-09-24 10:40:35	ga_ls5t_ard_3-0-0_107075_1998-09-24_final
1998-12-29 10:40:51	ga_ls5t_ard_3-0-0_107075_1998-12-29_final
1999-02-18 09:37:25	ga_ls5t_ard_3-1-0_096086_1999-02-18_final
2003-08-03 10:50:29	ga_ls5t_ard_3-0-0_109074_2003-08-03_final
2003-11-08 09:57:23	ga_ls5t_ard_3-0-0_100077_2003-11-08_final
2004-02-21 09:52:29	ga_ls5t_ard_3-0-0_099078_2004-02-21_final
2004-10-03 10:40:13	ga_ls5t_ard_3-1-0_106076_2004-10-03_final
2005-11-27 10:21:55	ga_ls5t_ard_3-0-0_102081_2005-11-27_final
2006-09-13 10:13:05	ga_ls5t_ard_3-0-0_100077_2006-09-13_final
2007-02-28 09:29:13	ga_ls5t_ard_3-0-0_092088_2007-02-27_final
2007-08-29 10:26:29	ga_ls5t_ard_3-0-0_102081_2007-08-29_final
2008-11-15 10:39:15	ga_ls5t_ard_3-0-0_106076_2008-11-15_final
2009-09-05 10:08:55	ga_ls5t_ard_3-0-0_100077_2009-09-05_final
2011-01-14 10:09:14	ga_ls5t_ard_3-0-0_100077_2011-01-14_final
2011-04-20 10:08:59	ga_ls5t_ard_3-0-0_100077_2011-04-20_final
2011-07-26 09:11:55	ga_ls5t_ard_3-1-0_091075_2011-07-25_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years