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

57 results

Time (local)	Label
1987-09-16 09:53:57	ga_ls5t_ard_3-0-0_101081_1987-09-16_final
1989-08-19 10:45:43	ga_ls5t_ard_3-0-0_110072_1989-08-19_final
1990-04-21 11:02:17	ga_ls5t_ard_3-0-0_113083_1990-04-21_final
1990-07-24 09:31:35	ga_ls5t_ard_3-0-0_099073_1990-07-24_final
1990-10-09 09:05:24	ga_ls5t_ard_3-0-0_094086_1990-10-08_final
1991-03-25 09:13:11	ga_ls5t_ard_3-0-0_095085_1991-03-24_final
1991-08-29 08:45:32	ga_ls5t_ard_3-0-0_090088_1991-08-28_final
1991-10-31 09:33:39	ga_ls5t_ard_3-0-0_099068_1991-10-31_final
1991-11-21 09:57:26	ga_ls5t_ard_3-1-0_102081_1991-11-21_final
1991-12-12 10:13:28	ga_ls5t_ard_3-0-0_105074_1991-12-12_final
1991-12-19 08:45:25	ga_ls5t_ard_3-0-0_090086_1991-12-18_final
1991-12-29 11:00:35	ga_ls5t_ard_3-0-0_112084_1991-12-29_final
1992-02-15 10:56:23	ga_ls5t_ard_3-0-0_112074_1992-02-15_final
1992-05-18 08:51:44	ga_ls5t_ard_3-0-0_091088_1992-05-17_final
1993-04-11 09:31:49	ga_ls5t_ard_3-0-0_099068_1993-04-11_final
1995-03-31 08:35:51	ga_ls5t_ard_3-1-0_092068_1995-03-30_final
1995-05-07 10:31:41	ga_ls5t_ard_3-1-0_111068_1995-05-07_final
1995-06-18 09:33:32	ga_ls5t_ard_3-0-0_101082_1995-06-18_final
1996-02-01 09:04:49	ga_ls5t_ard_3-0-0_097076_1996-01-31_final
1996-02-27 09:44:04	ga_ls5t_ard_3-0-0_103077_1996-02-27_final
1996-03-21 08:15:15	ga_ls5t_ard_3-1-0_088083_1996-03-20_final
1996-03-28 09:57:10	ga_ls5t_ard_3-0-0_105074_1996-03-28_final
1996-07-18 08:30:38	ga_ls5t_ard_3-0-0_089089_1996-07-17_final
1996-11-04 09:39:10	ga_ls5t_ard_3-0-0_100076_1996-11-04_final
1997-02-01 11:15:39	ga_ls5t_ard_3-0-0_115075_1997-02-01_final
1997-05-21 09:12:22	ga_ls5t_ard_3-1-0_094081_1997-05-20_final
1997-08-17 10:00:49	ga_ls5t_ard_3-0-0_102071_1997-08-17_final
1997-10-14 08:59:04	ga_ls5t_ard_3-0-0_092067_1997-10-13_final
1997-10-15 09:43:57	ga_ls5t_ard_3-0-0_099071_1997-10-15_final
1998-06-22 10:26:56	ga_ls5t_ard_3-0-0_105074_1998-06-22_final
1998-11-16 09:24:51	ga_ls5t_ard_3-0-0_094086_1998-11-15_final
2003-08-12 09:06:21	ga_ls5t_ard_3-0-0_092076_2003-08-11_final
2003-09-14 09:53:00	ga_ls5t_ard_3-0-0_099083_2003-09-14_final
2004-02-06 10:37:15	ga_ls5t_ard_3-0-0_106082_2004-02-06_final
2004-05-29 09:44:53	ga_ls5t_ard_3-0-0_097085_2004-05-29_final
2004-06-04 10:46:05	ga_ls5t_ard_3-0-0_107083_2004-06-04_final
2004-07-16 11:21:59	ga_ls5t_ard_3-0-0_113077_2004-07-16_final
2004-08-07 09:05:40	ga_ls5t_ard_3-1-0_091075_2004-08-06_final
2004-09-23 10:01:19	ga_ls5t_ard_3-0-0_100072_2004-09-23_final
2004-11-24 10:18:29	ga_ls5t_ard_3-0-0_102081_2004-11-24_final
2005-04-27 10:56:42	ga_ls5t_ard_3-0-0_108079_2005-04-27_final
2005-06-07 10:51:39	ga_ls5t_ard_3-0-0_107081_2005-06-07_final
2005-09-18 09:22:23	ga_ls5t_ard_3-0-0_092088_2005-09-17_final
2005-10-10 10:21:18	ga_ls5t_ard_3-0-0_102081_2005-10-10_final
2006-04-18 10:34:09	ga_ls5t_ard_3-1-0_104073_2006-04-18_final
2006-10-03 09:51:23	ga_ls5t_ard_3-0-0_096084_2006-10-03_final
2007-01-27 09:29:11	ga_ls5t_ard_3-0-0_092088_2007-01-26_final
2007-03-21 09:46:30	ga_ls5t_ard_3-0-0_095085_2007-03-21_final
2008-09-19 10:49:30	ga_ls5t_ard_3-0-0_107082_2008-09-19_final
2008-12-09 11:25:53	ga_ls5t_ard_3-1-0_114067_2008-12-09_final
2009-01-27 08:57:06	ga_ls5t_ard_3-0-0_089078_2009-01-26_final
2009-03-23 10:42:42	ga_ls5t_ard_3-0-0_106076_2009-03-23_final
2009-08-27 10:17:22	ga_ls5t_ard_3-0-0_101083_2009-08-27_final
2009-11-05 11:18:46	ga_ls5t_ard_3-0-0_111080_2009-11-05_final
2010-05-30 11:26:22	ga_ls5t_ard_3-0-0_113067_2010-05-30_final
2010-12-03 11:09:19	ga_ls5t_ard_3-0-0_110073_2010-12-03_final
2011-03-13 09:11:48	ga_ls5t_ard_3-0-0_090088_2011-03-12_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