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

56 results

Time (local)	Label
1987-12-27 10:54:25	ga_ls5t_ard_3-0-0_111073_1987-12-27_final
1988-07-10 08:57:57	ga_ls5t_ard_3-0-0_091086_1988-07-09_final
1989-01-20 10:18:12	ga_ls5t_ard_3-0-0_105072_1989-01-20_final
1989-09-15 08:54:17	ga_ls5t_ard_3-0-0_091089_1989-09-14_final
1989-11-18 10:23:51	ga_ls5t_ard_3-0-0_107070_1989-11-18_final
1990-02-15 10:16:41	ga_ls5t_ard_3-0-0_106074_1990-02-15_final
1990-03-08 10:37:18	ga_ls5t_ard_3-0-0_109081_1990-03-08_final
1990-05-10 09:51:05	ga_ls5t_ard_3-0-0_102075_1990-05-10_final
1990-09-09 08:52:53	ga_ls5t_ard_3-0-0_092085_1990-09-08_final
1990-10-23 10:49:01	ga_ls5t_ard_3-0-0_112067_1990-10-23_final
1990-12-28 09:00:18	ga_ls5t_ard_3-0-0_094073_1990-12-27_final
1991-04-25 10:04:27	ga_ls5t_ard_3-1-0_104073_1991-04-25_final
1991-06-17 10:22:38	ga_ls5t_ard_3-0-0_107070_1991-06-17_final
1991-08-07 10:52:59	ga_ls5t_ard_3-1-0_112067_1991-08-07_final
1992-01-13 10:16:27	ga_ls5t_ard_3-0-0_105082_1992-01-13_final
1992-02-04 11:16:41	ga_ls5t_ard_3-0-0_115078_1992-02-04_final
1992-02-13 11:08:45	ga_ls5t_ard_3-0-0_114074_1992-02-13_final
1992-06-03 08:52:00	ga_ls5t_ard_3-0-0_091089_1992-06-02_final
1992-06-07 10:02:55	ga_ls5t_ard_3-0-0_103081_1992-06-07_final
1992-08-02 10:48:28	ga_ls5t_ard_3-0-0_111073_1992-08-02_final
1993-04-24 10:46:18	ga_ls5t_ard_3-0-0_110084_1993-04-24_final
1993-07-07 09:43:41	ga_ls5t_ard_3-0-0_100082_1993-07-07_final
1993-12-10 08:28:58	ga_ls5t_ard_3-1-0_088082_1993-12-09_final
1994-09-14 09:19:32	ga_ls5t_ard_3-0-0_098067_1994-09-13_final
1994-11-05 09:01:08	ga_ls5t_ard_3-0-0_094087_1994-11-04_final
1995-02-24 09:45:15	ga_ls5t_ard_3-0-0_103068_1995-02-24_final
1995-07-22 10:55:44	ga_ls5t_ard_3-0-0_115075_1995-07-22_final
1995-11-11 09:14:10	ga_ls5t_ard_3-0-0_099081_1995-11-10_final
1995-12-16 08:08:14	ga_ls5t_ard_3-0-0_088082_1995-12-15_final
1996-11-28 10:27:21	ga_ls5t_ard_3-0-0_108070_1996-11-28_final
1997-03-07 11:06:42	ga_ls5t_ard_3-0-0_113080_1997-03-07_final
1998-02-17 09:14:24	ga_ls5t_ard_3-0-0_094067_1998-02-16_final
1998-07-22 10:42:52	ga_ls5t_ard_3-0-0_107082_1998-07-22_final
1998-07-27 10:58:14	ga_ls5t_ard_3-1-0_110074_1998-07-27_final
1999-06-15 09:49:05	ga_ls5t_ard_3-0-0_099072_1999-06-15_final
1999-08-06 11:04:35	ga_ls5t_ard_3-0-0_111076_1999-08-06_final
1999-11-10 11:01:12	ga_ls5t_ard_3-0-0_111072_1999-11-10_final
2004-07-07 09:46:38	ga_ls5t_ard_3-0-0_098071_2004-07-07_final
2004-07-22 09:09:45	ga_ls5t_ard_3-0-0_091086_2004-07-21_final
2004-08-26 11:12:46	ga_ls5t_ard_3-0-0_112067_2004-08-26_final
2004-12-09 11:09:16	ga_ls5t_ard_3-1-0_111068_2004-12-09_final
2004-12-14 09:55:48	ga_ls5t_ard_3-1-0_098085_2004-12-14_final
2005-01-16 10:33:08	ga_ls5t_ard_3-0-0_105069_2005-01-16_final
2005-03-26 10:52:59	ga_ls5t_ard_3-0-0_108070_2005-03-26_final
2005-06-08 09:51:39	ga_ls5t_ard_3-0-0_098070_2005-06-08_final
2005-10-15 10:40:14	ga_ls5t_ard_3-0-0_105082_2005-10-15_final
2006-07-13 10:00:44	ga_ls5t_ard_3-0-0_098079_2006-07-13_final
2006-10-25 09:11:44	ga_ls5t_ard_3-0-0_090077_2006-10-24_final
2007-03-18 09:16:49	ga_ls5t_ard_3-0-0_090088_2007-03-17_final
2007-06-30 11:38:48	ga_ls5t_ard_3-0-0_114075_2007-06-30_final
2007-07-30 10:12:02	ga_ls5t_ard_3-0-0_100075_2007-07-30_final
2008-08-01 10:03:16	ga_ls5t_ard_3-0-0_100071_2008-08-01_final
2008-09-10 10:53:09	ga_ls5t_ard_3-0-0_108075_2008-09-10_final
2008-12-13 11:08:04	ga_ls5t_ard_3-0-0_110084_2008-12-13_final
2009-11-21 09:37:11	ga_ls5t_ard_3-0-0_095073_2009-11-21_final
2010-02-16 11:20:23	ga_ls5t_ard_3-1-0_112067_2010-02-16_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years