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

61 results

Time (local)	Label
1987-09-07 09:59:54	ga_ls5t_ard_3-0-0_102081_1987-09-07_final
1987-10-31 11:00:00	ga_ls5t_ard_3-0-0_112074_1987-10-31_final
1987-12-14 09:50:13	ga_ls5t_ard_3-0-0_100083_1987-12-14_final
1988-01-04 10:08:18	ga_ls5t_ard_3-0-0_103081_1988-01-04_final
1988-02-25 09:43:39	ga_ls5t_ard_3-0-0_099079_1988-02-25_final
1989-05-26 08:55:39	ga_ls5t_ard_3-0-0_091086_1989-05-25_final
1990-11-29 09:30:24	ga_ls5t_ard_3-1-0_099072_1990-11-29_final
1991-01-17 10:15:05	ga_ls5t_ard_3-0-0_106073_1991-01-17_final
1991-02-05 10:50:35	ga_ls5t_ard_3-0-0_111084_1991-02-05_final
1991-03-25 09:08:24	ga_ls5t_ard_3-0-0_095073_1991-03-24_final
1992-01-29 10:13:20	ga_ls5t_ard_3-0-0_105074_1992-01-29_final
1992-02-25 09:57:27	ga_ls5t_ard_3-0-0_102081_1992-02-25_final
1992-04-07 10:31:33	ga_ls5t_ard_3-0-0_108074_1992-04-07_final
1992-08-06 08:45:36	ga_ls5t_ard_3-1-0_091075_1992-08-05_final
1992-12-05 08:40:17	ga_ls5t_ard_3-0-0_090081_1992-12-04_final
1993-07-12 10:01:50	ga_ls5t_ard_3-0-0_103081_1993-07-12_final
1993-08-16 10:29:56	ga_ls5t_ard_3-0-0_108074_1993-08-16_final
1993-08-30 09:07:47	ga_ls5t_ard_3-0-0_094085_1993-08-29_final
1993-11-22 08:41:00	ga_ls5t_ard_3-0-0_090081_1993-11-21_final
1994-06-07 10:32:50	ga_ls5t_ard_3-0-0_109074_1994-06-07_final
1994-07-09 10:32:02	ga_ls5t_ard_3-0-0_109074_1994-07-09_final
1994-10-29 08:55:13	ga_ls5t_ard_3-0-0_093087_1994-10-28_final
1994-11-23 10:21:51	ga_ls5t_ard_3-0-0_108074_1994-11-23_final
1994-12-17 09:32:54	ga_ls5t_ard_3-0-0_100077_1994-12-17_final
1995-01-10 08:43:02	ga_ls5t_ard_3-0-0_092078_1995-01-09_final
1995-01-12 10:07:53	ga_ls5t_ard_3-0-0_106074_1995-01-12_final
1995-03-04 10:36:22	ga_ls5t_ard_3-0-0_111073_1995-03-04_final
1995-09-08 09:16:14	ga_ls5t_ard_3-0-0_099079_1995-09-07_final
1995-12-05 10:02:02	ga_ls5t_ard_3-0-0_107075_1995-12-05_final
1995-12-23 09:48:14	ga_ls5t_ard_3-0-0_105068_1995-12-23_final
1996-02-21 10:19:33	ga_ls5t_ard_3-0-0_109074_1996-02-21_final
1996-09-01 09:38:38	ga_ls5t_ard_3-0-0_100083_1996-09-01_final
1997-04-28 10:41:30	ga_ls5t_ard_3-0-0_109074_1997-04-28_final
1997-12-10 10:36:24	ga_ls5t_ard_3-0-0_107075_1997-12-10_final
1998-08-20 10:11:46	ga_ls5t_ard_3-0-0_102081_1998-08-20_final
1998-09-07 09:57:59	ga_ls5t_ard_3-0-0_100077_1998-09-07_final
1999-06-23 10:39:39	ga_ls5t_ard_3-0-0_107075_1999-06-23_final
2003-07-06 10:26:04	ga_ls5t_ard_3-0-0_105076_2003-07-06_final
2003-07-25 10:56:53	ga_ls5t_ard_3-0-0_110075_2003-07-25_final
2003-10-01 10:33:40	ga_ls5t_ard_3-0-0_106076_2003-10-01_final
2004-02-22 08:58:03	ga_ls5t_ard_3-0-0_090081_2004-02-21_final
2004-03-05 10:58:31	ga_ls5t_ard_3-0-0_110073_2004-03-05_final
2004-07-13 09:16:06	ga_ls5t_ard_3-0-0_092087_2004-07-12_final
2004-10-19 10:40:34	ga_ls5t_ard_3-0-0_106076_2004-10-19_final
2004-12-06 10:41:30	ga_ls5t_ard_3-0-0_106076_2004-12-06_final
2005-03-21 10:36:24	ga_ls5t_ard_3-0-0_105075_2005-03-21_final
2005-07-18 10:43:46	ga_ls5t_ard_3-0-0_106076_2005-07-18_final
2005-09-02 10:55:40	ga_ls5t_ard_3-0-0_108074_2005-09-02_final
2005-09-20 10:40:55	ga_ls5t_ard_3-0-0_106068_2005-09-20_final
2005-09-23 11:14:12	ga_ls5t_ard_3-0-0_111074_2005-09-23_final
2005-10-14 09:57:46	ga_ls5t_ard_3-0-0_098084_2005-10-14_final
2006-02-15 10:23:47	ga_ls5t_ard_3-0-0_102081_2006-02-15_final
2006-06-24 09:29:33	ga_ls5t_ard_3-0-0_093079_2006-06-23_final
2007-03-14 11:14:51	ga_ls5t_ard_3-0-0_110074_2007-03-14_final
2007-07-02 11:26:49	ga_ls5t_ard_3-0-0_112076_2007-07-02_final
2009-01-02 10:38:18	ga_ls5t_ard_3-0-0_106070_2009-01-02_final
2009-01-06 10:18:04	ga_ls5t_ard_3-0-0_102081_2009-01-06_final
2009-01-17 09:54:38	ga_ls5t_ard_3-0-0_099068_2009-01-17_final
2009-04-14 10:06:28	ga_ls5t_ard_3-0-0_100077_2009-04-14_final
2010-11-11 10:09:05	ga_ls5t_ard_3-0-0_100077_2010-11-11_final
2011-08-27 10:50:30	ga_ls5t_ard_3-0-0_107075_2011-08-27_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years