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
1987-12-14 09:45:25	ga_ls5t_ard_3-0-0_100071_1987-12-14_final
1988-01-08 11:21:20	ga_ls5t_ard_3-0-0_115078_1988-01-08_final
1988-03-11 09:01:44	ga_ls5t_ard_3-0-0_092082_1988-03-10_final
1988-03-17 09:58:48	ga_ls5t_ard_3-0-0_102070_1988-03-17_final
1988-03-28 11:22:02	ga_ls5t_ard_3-0-0_115077_1988-03-28_final
1988-04-13 09:40:01	ga_ls5t_ard_3-0-0_099069_1988-04-13_final
1988-12-03 08:42:39	ga_ls5t_ard_3-0-0_089079_1988-12-02_final
1989-09-24 10:24:07	ga_ls5t_ard_3-0-0_106082_1989-09-24_final
1989-11-09 08:58:45	ga_ls5t_ard_3-0-0_092088_1989-11-08_final
1991-09-17 09:08:20	ga_ls5t_ard_3-0-0_095067_1991-09-16_final
1991-09-24 10:53:25	ga_ls5t_ard_3-1-0_112067_1991-09-24_final
1991-12-29 10:53:48	ga_ls5t_ard_3-1-0_112067_1991-12-29_final
1992-02-07 10:09:48	ga_ls5t_ard_3-0-0_104081_1992-02-07_final
1992-07-05 08:46:00	ga_ls5t_ard_3-1-0_091075_1992-07-04_final
1993-01-18 09:07:29	ga_ls5t_ard_3-0-0_094086_1993-01-17_final
1993-06-22 08:50:57	ga_ls5t_ard_3-0-0_091089_1993-06-21_final
1993-06-23 11:04:19	ga_ls5t_ard_3-0-0_114067_1993-06-23_final
1994-01-10 09:19:03	ga_ls5t_ard_3-0-0_097069_1994-01-09_final
1994-04-07 11:06:51	ga_ls5t_ard_3-0-0_114079_1994-04-07_final
1994-08-11 09:37:07	ga_ls5t_ard_3-0-0_100078_1994-08-11_final
1994-10-14 09:33:24	ga_ls5t_ard_3-0-0_100073_1994-10-14_final
1995-06-24 10:31:05	ga_ls5t_ard_3-0-0_111072_1995-06-24_final
1995-10-09 08:34:10	ga_ls5t_ard_3-0-0_092086_1995-10-08_final
1996-02-22 09:25:59	ga_ls5t_ard_3-0-0_100079_1996-02-21_final
1996-04-13 09:57:22	ga_ls5t_ard_3-0-0_105072_1996-04-13_final
1996-06-28 08:53:07	ga_ls5t_ard_3-0-0_093086_1996-06-27_final
1997-01-27 09:22:23	ga_ls5t_ard_3-0-0_096086_1997-01-26_final
1997-02-18 08:43:51	ga_ls5t_ard_3-0-0_090080_1997-02-17_final
1997-07-27 09:40:48	ga_ls5t_ard_3-0-0_099069_1997-07-27_final
1997-08-20 09:00:30	ga_ls5t_ard_3-0-0_091090_1997-08-19_final
1998-04-29 09:21:34	ga_ls5t_ard_3-0-0_095067_1998-04-28_final
1998-05-21 10:30:06	ga_ls5t_ard_3-1-0_105083_1998-05-21_final
1998-08-13 10:01:32	ga_ls5t_ard_3-0-0_101071_1998-08-13_final
1998-12-12 09:55:51	ga_ls5t_ard_3-1-0_100071_1998-12-12_final
1999-10-30 09:40:26	ga_ls5t_ard_3-0-0_098070_1999-10-30_final
1999-11-26 11:01:25	ga_ls5t_ard_3-0-0_111074_1999-11-26_final
2003-08-26 09:21:22	ga_ls5t_ard_3-0-0_094082_2003-08-25_final
2003-09-15 10:30:41	ga_ls5t_ard_3-0-0_106069_2003-09-15_final
2003-12-29 08:53:14	ga_ls5t_ard_3-0-0_089085_2003-12-28_final
2004-04-29 09:24:28	ga_ls5t_ard_3-0-0_095067_2004-04-28_final
2006-03-08 10:37:35	ga_ls5t_ard_3-0-0_105068_2006-03-08_final
2006-04-18 10:34:09	ga_ls5t_ard_3-1-0_104073_2006-04-18_final
2006-06-20 11:34:41	ga_ls5t_ard_3-0-0_113083_2006-06-20_final
2006-09-01 11:29:06	ga_ls5t_ard_3-0-0_112082_2006-09-01_final
2006-12-20 11:36:32	ga_ls5t_ard_3-1-0_114067_2006-12-20_final
2007-02-22 10:04:18	ga_ls5t_ard_3-0-0_098083_2007-02-22_final
2009-10-27 09:40:48	ga_ls5t_ard_3-0-0_096067_2009-10-27_final
2009-11-08 10:10:01	ga_ls5t_ard_3-0-0_100078_2009-11-08_final
2010-12-18 10:27:18	ga_ls5t_ard_3-0-0_103076_2010-12-18_final
2011-06-27 09:41:03	ga_ls5t_ard_3-0-0_096070_2011-06-27_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