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
1987-09-19 08:48:50	ga_ls5t_ard_3-0-0_090088_1987-09-18_final
1987-11-09 10:53:14	ga_ls5t_ard_3-0-0_111072_1987-11-09_final
1988-06-02 11:12:33	ga_ls5t_ard_3-0-0_113083_1988-06-02_final
1988-06-16 09:44:06	ga_ls5t_ard_3-0-0_099078_1988-06-16_final
1988-07-10 10:35:38	ga_ls5t_ard_3-0-0_107083_1988-07-10_final
1989-06-21 09:26:09	ga_ls5t_ard_3-0-0_097071_1989-06-20_final
1989-06-29 08:41:01	ga_ls5t_ard_3-0-0_089082_1989-06-28_final
1989-08-20 09:54:04	ga_ls5t_ard_3-0-0_101082_1989-08-20_final
1990-03-02 09:34:54	ga_ls5t_ard_3-0-0_099079_1990-03-02_final
1990-06-24 10:58:37	ga_ls5t_ard_3-0-0_113074_1990-06-24_final
1991-07-30 10:09:29	ga_ls5t_ard_3-0-0_104082_1991-07-30_final
1992-02-20 09:38:04	ga_ls5t_ard_3-0-0_099079_1992-02-20_final
1992-03-27 09:15:15	ga_ls5t_ard_3-0-0_095084_1992-03-26_final
1992-06-02 09:40:26	ga_ls5t_ard_3-0-0_100071_1992-06-02_final
1992-07-15 09:26:34	ga_ls5t_ard_3-0-0_097084_1992-07-14_final
1992-11-02 09:32:25	ga_ls5t_ard_3-0-0_099072_1992-11-02_final
1992-12-11 09:40:34	ga_ls5t_ard_3-0-0_100077_1992-12-11_final
1993-04-25 09:48:18	ga_ls5t_ard_3-0-0_101078_1993-04-25_final
1994-01-12 10:46:44	ga_ls5t_ard_3-0-0_111072_1994-01-12_final
1994-10-14 09:33:01	ga_ls5t_ard_3-0-0_100072_1994-10-14_final
1995-09-24 09:15:26	ga_ls5t_ard_3-0-0_099079_1995-09-23_final
1995-10-02 08:24:46	ga_ls5t_ard_3-0-0_091077_1995-10-01_final
1995-10-23 10:23:50	ga_ls5t_ard_3-0-0_110084_1995-10-23_final
1996-02-12 10:25:31	ga_ls5t_ard_3-0-0_110075_1996-02-12_final
1996-03-27 09:17:50	ga_ls5t_ard_3-0-0_098084_1996-03-26_final
1996-08-08 10:21:59	ga_ls5t_ard_3-0-0_108071_1996-08-08_final
1997-01-07 09:42:36	ga_ls5t_ard_3-0-0_100077_1997-01-07_final
1997-01-07 09:45:00	ga_ls5t_ard_3-0-0_100083_1997-01-07_final
1997-03-21 09:37:31	ga_ls5t_ard_3-0-0_099072_1997-03-21_final
1997-10-12 10:53:03	ga_ls5t_ard_3-0-0_110074_1997-10-12_final
1997-12-06 09:21:21	ga_ls5t_ard_3-0-0_095073_1997-12-05_final
1998-01-09 10:49:05	ga_ls5t_ard_3-0-0_109074_1998-01-09_final
2003-11-10 09:43:29	ga_ls5t_ard_3-0-0_098073_2003-11-10_final
2003-11-28 11:07:58	ga_ls5t_ard_3-1-0_112067_2003-11-28_final
2004-02-18 10:56:03	ga_ls5t_ard_3-1-0_110067_2004-02-18_final
2004-05-28 10:33:41	ga_ls5t_ard_3-0-0_106068_2004-05-28_final
2004-09-01 09:05:44	ga_ls5t_ard_3-0-0_090089_2004-08-31_final
2004-09-17 09:06:10	ga_ls5t_ard_3-0-0_090089_2004-09-16_final
2004-09-24 09:08:31	ga_ls5t_ard_3-0-0_091079_2004-09-23_final
2005-06-11 10:23:22	ga_ls5t_ard_3-0-0_103072_2005-06-11_final
2005-06-27 10:23:27	ga_ls5t_ard_3-0-0_103072_2005-06-27_final
2005-08-06 11:14:03	ga_ls5t_ard_3-0-0_111074_2005-08-06_final
2005-08-20 11:26:30	ga_ls5t_ard_3-0-0_113074_2005-08-20_final
2006-10-09 09:14:22	ga_ls5t_ard_3-0-0_090084_2006-10-08_final
2006-10-18 10:42:22	ga_ls5t_ard_3-0-0_105072_2006-10-18_final
2006-10-20 10:33:37	ga_ls5t_ard_3-0-0_103081_2006-10-20_final
2006-12-18 10:16:24	ga_ls5t_ard_3-0-0_100083_2006-12-18_final
2007-04-11 11:40:15	ga_ls5t_ard_3-0-0_114076_2007-04-11_final
2007-07-22 09:27:27	ga_ls5t_ard_3-0-0_092087_2007-07-21_final
2007-09-24 09:26:52	ga_ls5t_ard_3-0-0_092087_2007-09-23_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