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

62 results

Time (local)	Label
1987-11-14 09:34:59	ga_ls5t_ard_3-0-0_098077_1987-11-14_final
1988-03-19 09:46:51	ga_ls5t_ard_3-0-0_100071_1988-03-19_final
1988-05-24 09:39:47	ga_ls5t_ard_3-0-0_098083_1988-05-24_final
1988-08-06 10:15:56	ga_ls5t_ard_3-0-0_104080_1988-08-06_final
1988-12-31 10:44:03	ga_ls5t_ard_3-0-0_109074_1988-12-31_final
1989-02-19 08:58:49	ga_ls5t_ard_3-0-0_091090_1989-02-18_final
1989-02-24 10:53:21	ga_ls5t_ard_3-0-0_110083_1989-02-24_final
1989-05-11 09:32:46	ga_ls5t_ard_3-0-0_098070_1989-05-11_final
1989-07-09 09:15:54	ga_ls5t_ard_3-0-0_095077_1989-07-08_final
1989-08-31 09:36:07	ga_ls5t_ard_3-0-0_098084_1989-08-31_final
1990-06-03 09:06:23	ga_ls5t_ard_3-0-0_094087_1990-06-02_final
1991-03-05 09:30:16	ga_ls5t_ard_3-0-0_099067_1991-03-05_final
1991-09-14 08:44:58	ga_ls5t_ard_3-0-0_090086_1991-09-13_final
1991-11-26 08:36:01	ga_ls5t_ard_3-0-0_089078_1991-11-25_final
1992-01-15 10:03:41	ga_ls5t_ard_3-0-0_103081_1992-01-15_final
1992-01-20 08:41:45	ga_ls5t_ard_3-0-0_090077_1992-01-19_final
1992-01-28 09:31:40	ga_ls5t_ard_3-0-0_098078_1992-01-28_final
1992-05-11 10:16:31	ga_ls5t_ard_3-0-0_106068_1992-05-11_final
1992-06-03 08:46:24	ga_ls5t_ard_3-1-0_091075_1992-06-02_final
1992-10-26 09:29:08	ga_ls5t_ard_3-0-0_098079_1992-10-25_final
1992-11-04 09:23:12	ga_ls5t_ard_3-0-0_097080_1992-11-03_final
1993-11-11 10:35:43	ga_ls5t_ard_3-0-0_109074_1993-11-11_final
1993-11-15 08:34:03	ga_ls5t_ard_3-0-0_089079_1993-11-14_final
1994-01-28 10:46:32	ga_ls5t_ard_3-0-0_111072_1994-01-28_final
1994-02-04 10:55:51	ga_ls5t_ard_3-0-0_112080_1994-02-04_final
1994-02-22 09:01:57	ga_ls5t_ard_3-0-0_094074_1994-02-21_final
1994-06-09 10:21:37	ga_ls5t_ard_3-0-0_107077_1994-06-09_final
1994-06-20 08:25:57	ga_ls5t_ard_3-0-0_088082_1994-06-19_final
1994-09-04 08:51:06	ga_ls5t_ard_3-0-0_092088_1994-09-03_final
1995-01-12 10:07:53	ga_ls5t_ard_3-0-0_106074_1995-01-12_final
1995-01-20 09:22:33	ga_ls5t_ard_3-0-0_098085_1995-01-19_final
1996-03-28 08:21:04	ga_ls5t_ard_3-0-0_089081_1996-03-27_final
1996-04-13 09:58:10	ga_ls5t_ard_3-0-0_105074_1996-04-13_final
1996-08-02 11:01:33	ga_ls5t_ard_3-0-0_114078_1996-08-02_final
1996-12-28 09:06:38	ga_ls5t_ard_3-0-0_094081_1996-12-27_final
1997-01-31 10:32:20	ga_ls5t_ard_3-0-0_108075_1997-01-31_final
1997-12-12 10:24:06	ga_ls5t_ard_3-0-0_105075_1997-12-12_final
1998-02-05 08:53:25	ga_ls5t_ard_3-0-0_090077_1998-02-04_final
1998-02-20 09:47:21	ga_ls5t_ard_3-0-0_099072_1998-02-20_final
1998-03-29 10:10:01	ga_ls5t_ard_3-0-0_102081_1998-03-29_final
1998-12-30 09:46:02	ga_ls5t_ard_3-0-0_098077_1998-12-30_final
1998-12-31 08:52:25	ga_ls5t_ard_3-0-0_089082_1998-12-30_final
1999-05-30 11:30:32	ga_ls5t_ard_3-0-0_115078_1999-05-30_final
1999-08-25 09:57:07	ga_ls5t_ard_3-0-0_100078_1999-08-25_final
1999-09-20 08:54:06	ga_ls5t_ard_3-0-0_090077_1999-09-19_final
2003-06-12 09:36:53	ga_ls5t_ard_3-0-0_097078_2003-06-12_final
2003-08-13 11:29:19	ga_ls5t_ard_3-0-0_115078_2003-08-13_final
2003-11-17 11:30:19	ga_ls5t_ard_3-0-0_115077_2003-11-17_final
2005-03-07 10:22:43	ga_ls5t_ard_3-0-0_103072_2005-03-07_final
2005-04-23 09:39:44	ga_ls5t_ard_3-0-0_096072_2005-04-23_final
2005-07-17 10:01:41	ga_ls5t_ard_3-0-0_099079_2005-07-17_final
2006-07-01 09:31:03	ga_ls5t_ard_3-0-0_094067_2006-07-01_final
2007-04-13 11:27:04	ga_ls5t_ard_3-0-0_112074_2007-04-13_final
2007-06-15 09:07:46	ga_ls5t_ard_3-0-0_089083_2007-06-14_final
2007-07-07 10:07:15	ga_ls5t_ard_3-0-0_099078_2007-07-07_final
2008-02-16 11:43:22	ga_ls5t_ard_3-0-0_115079_2008-02-16_final
2009-01-24 10:02:36	ga_ls5t_ard_3-0-0_100072_2009-01-24_final
2009-11-16 09:24:37	ga_ls5t_ard_3-0-0_092088_2009-11-15_final
2009-11-28 09:47:50	ga_ls5t_ard_3-0-0_096084_2009-11-28_final
2010-02-23 11:32:58	ga_ls5t_ard_3-0-0_113083_2010-02-23_final
2010-05-17 10:19:38	ga_ls5t_ard_3-0-0_102070_2010-05-17_final
2010-11-20 11:41:48	ga_ls5t_ard_3-0-0_115077_2010-11-20_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