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
1987-09-26 08:49:58	ga_ls5t_ard_3-1-0_091075_1987-09-25_final
1987-12-16 11:15:10	ga_ls5t_ard_3-0-0_114079_1987-12-16_final
1988-02-25 09:43:39	ga_ls5t_ard_3-0-0_099079_1988-02-25_final
1988-03-06 10:18:50	ga_ls5t_ard_3-0-0_105074_1988-03-06_final
1988-05-24 09:39:47	ga_ls5t_ard_3-0-0_098083_1988-05-24_final
1988-06-17 10:24:34	ga_ls5t_ard_3-0-0_106071_1988-06-17_final
1988-06-23 09:49:54	ga_ls5t_ard_3-0-0_100077_1988-06-23_final
1989-11-27 10:18:44	ga_ls5t_ard_3-1-0_106073_1989-11-27_final
1991-03-13 10:23:06	ga_ls5t_ard_3-0-0_107075_1991-03-13_final
1991-04-26 09:06:27	ga_ls5t_ard_3-0-0_095067_1991-04-25_final
1991-07-17 10:37:51	ga_ls5t_ard_3-0-0_109076_1991-07-17_final
1992-09-16 08:43:59	ga_ls5t_ard_3-0-0_090088_1992-09-15_final
1992-10-04 10:07:41	ga_ls5t_ard_3-0-0_104082_1992-10-04_final
1992-11-26 08:49:06	ga_ls5t_ard_3-0-0_091088_1992-11-25_final
1992-12-11 09:38:10	ga_ls5t_ard_3-0-0_100071_1992-12-11_final
1993-04-15 09:06:44	ga_ls5t_ard_3-0-0_095067_1993-04-14_final
1993-08-08 09:41:41	ga_ls5t_ard_3-0-0_100077_1993-08-08_final
1993-08-09 10:24:09	ga_ls5t_ard_3-0-0_107075_1993-08-09_final
1993-08-16 08:48:15	ga_ls5t_ard_3-0-0_092067_1993-08-15_final
1994-07-16 10:38:25	ga_ls5t_ard_3-0-0_110075_1994-07-16_final
1994-12-17 09:32:54	ga_ls5t_ard_3-0-0_100077_1994-12-17_final
1995-07-05 10:12:50	ga_ls5t_ard_3-0-0_108074_1995-07-05_final
1995-07-31 09:07:52	ga_ls5t_ard_3-0-0_098069_1995-07-30_final
1995-07-31 09:11:28	ga_ls5t_ard_3-0-0_098078_1995-07-30_final
1995-10-17 09:19:34	ga_ls5t_ard_3-0-0_100077_1995-10-16_final
1996-02-08 09:08:17	ga_ls5t_ard_3-0-0_098068_1996-02-07_final
1996-06-03 10:32:03	ga_ls5t_ard_3-0-0_110074_1996-06-03_final
1996-07-21 10:34:36	ga_ls5t_ard_3-1-0_110074_1996-07-21_final
1996-08-06 09:01:21	ga_ls5t_ard_3-0-0_094086_1996-08-05_final
1997-01-13 10:41:54	ga_ls5t_ard_3-0-0_110070_1997-01-13_final
1998-03-12 09:20:57	ga_ls5t_ard_3-0-0_095067_1998-03-11_final
1998-04-04 09:29:02	ga_ls5t_ard_3-0-0_096071_1998-04-03_final
1998-04-20 11:09:19	ga_ls5t_ard_3-0-0_112074_1998-04-20_final
1998-08-29 10:03:19	ga_ls5t_ard_3-0-0_101075_1998-08-29_final
1998-09-06 10:53:13	ga_ls5t_ard_3-0-0_109076_1998-09-06_final
1998-09-16 09:52:17	ga_ls5t_ard_3-0-0_099078_1998-09-16_final
2004-03-12 09:23:29	ga_ls5t_ard_3-0-0_095067_2004-03-11_final
2004-03-20 10:18:33	ga_ls5t_ard_3-0-0_103081_2004-03-20_final
2005-03-31 09:31:28	ga_ls5t_ard_3-0-0_095067_2005-03-31_final
2005-04-02 11:01:12	ga_ls5t_ard_3-0-0_109075_2005-04-02_final
2005-11-07 10:44:10	ga_ls5t_ard_3-0-0_106076_2005-11-07_final
2006-09-16 10:43:37	ga_ls5t_ard_3-0-0_105076_2006-09-16_final
2006-10-12 11:19:00	ga_ls5t_ard_3-1-0_111071_2006-10-12_final
2006-10-25 09:12:56	ga_ls5t_ard_3-0-0_090080_2006-10-24_final
2006-10-28 09:38:41	ga_ls5t_ard_3-0-0_095067_2006-10-28_final
2006-12-22 09:50:06	ga_ls5t_ard_3-0-0_096079_2006-12-22_final
2007-08-20 10:32:45	ga_ls5t_ard_3-0-0_103081_2007-08-20_final
2007-09-23 10:17:43	ga_ls5t_ard_3-0-0_101075_2007-09-23_final
2010-12-30 10:50:04	ga_ls5t_ard_3-0-0_107071_2010-12-30_final
2011-10-22 09:59:06	ga_ls5t_ard_3-0-0_099072_2011-10-22_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