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
1987-07-31 08:59:25	ga_ls5t_ard_3-0-0_092087_1987-07-30_final
1987-10-06 09:25:40	ga_ls5t_ard_3-0-0_097071_1987-10-05_final
1987-11-26 10:01:31	ga_ls5t_ard_3-0-0_102081_1987-11-26_final
1988-03-04 10:31:34	ga_ls5t_ard_3-0-0_107075_1988-03-04_final
1988-04-16 08:37:14	ga_ls5t_ard_3-0-0_088082_1988-04-15_final
1989-01-26 09:40:17	ga_ls5t_ard_3-0-0_099070_1989-01-26_final
1989-08-14 10:28:30	ga_ls5t_ard_3-0-0_107075_1989-08-14_final
1990-04-03 09:30:45	ga_ls5t_ard_3-0-0_099071_1990-04-03_final
1990-07-24 09:31:59	ga_ls5t_ard_3-0-0_099074_1990-07-24_final
1990-08-15 10:33:42	ga_ls5t_ard_3-0-0_109074_1990-08-15_final
1990-09-18 10:21:34	ga_ls5t_ard_3-0-0_107075_1990-09-18_final
1991-01-16 09:29:48	ga_ls5t_ard_3-1-0_099068_1991-01-15_final
1991-02-28 10:53:18	ga_ls5t_ard_3-0-0_112074_1991-02-28_final
1992-08-27 10:45:04	ga_ls5t_ard_3-0-0_110081_1992-08-27_final
1993-01-15 08:34:32	ga_ls5t_ard_3-0-0_089081_1993-01-14_final
1993-04-24 09:08:13	ga_ls5t_ard_3-0-0_094086_1993-04-23_final
1993-05-22 11:09:31	ga_ls5t_ard_3-0-0_114080_1993-05-22_final
1993-09-26 10:24:04	ga_ls5t_ard_3-0-0_107075_1993-09-26_final
1994-04-20 10:34:30	ga_ls5t_ard_3-0-0_109076_1994-04-20_final
1994-08-04 09:28:42	ga_ls5t_ard_3-0-0_099072_1994-08-03_final
1994-11-07 08:43:32	ga_ls5t_ard_3-1-0_092074_1994-11-06_final
1995-11-27 09:12:56	ga_ls5t_ard_3-0-0_099077_1995-11-26_final
1997-06-10 08:51:33	ga_ls5t_ard_3-0-0_090089_1997-06-09_final
1997-08-31 10:15:59	ga_ls5t_ard_3-0-0_104077_1997-08-31_final
1997-11-09 11:15:43	ga_ls5t_ard_3-0-0_114067_1997-11-09_final
1998-02-22 09:40:12	ga_ls5t_ard_3-0-0_097085_1998-02-22_final
1998-08-14 09:13:06	ga_ls5t_ard_3-0-0_092089_1998-08-13_final
1998-10-06 11:04:31	ga_ls5t_ard_3-0-0_111073_1998-10-06_final
1998-10-07 10:09:42	ga_ls5t_ard_3-0-0_102075_1998-10-07_final
1998-10-22 11:04:55	ga_ls5t_ard_3-0-0_111074_1998-10-22_final
1999-01-17 11:15:14	ga_ls5t_ard_3-0-0_112084_1999-01-17_final
1999-06-27 10:17:16	ga_ls5t_ard_3-0-0_103081_1999-06-27_final
1999-12-09 08:52:36	ga_ls5t_ard_3-0-0_090077_1999-12-08_final
2004-01-29 09:43:23	ga_ls5t_ard_3-0-0_098071_2004-01-29_final
2004-05-02 09:59:51	ga_ls5t_ard_3-0-0_100078_2004-05-02_final
2004-09-25 09:48:12	ga_ls5t_ard_3-0-0_098070_2004-09-25_final
2005-02-08 10:39:13	ga_ls5t_ard_3-0-0_106068_2005-02-08_final
2005-05-28 10:14:53	ga_ls5t_ard_3-0-0_101082_2005-05-28_final
2005-07-23 11:01:34	ga_ls5t_ard_3-0-0_109074_2005-07-23_final
2005-10-04 09:17:32	ga_ls5t_ard_3-0-0_092076_2005-10-03_final
2006-11-09 10:07:29	ga_ls5t_ard_3-0-0_099077_2006-11-09_final
2007-05-28 09:17:14	ga_ls5t_ard_3-1-0_091075_2007-05-27_final
2008-09-11 09:55:55	ga_ls5t_ard_3-0-0_099071_2008-09-11_final
2009-01-24 10:02:36	ga_ls5t_ard_3-0-0_100072_2009-01-24_final
2009-10-23 10:09:28	ga_ls5t_ard_3-0-0_100077_2009-10-23_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years