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

57 results

Time (local)	Label
1988-02-26 10:28:08	ga_ls5t_ard_3-1-0_106082_1988-02-26_final
1988-03-06 08:45:56	ga_ls5t_ard_3-0-0_089089_1988-03-05_final
1988-04-28 10:40:31	ga_ls5t_ard_3-0-0_108081_1988-04-28_final
1988-10-02 10:10:05	ga_ls5t_ard_3-0-0_103081_1988-10-02_final
1989-03-10 11:02:34	ga_ls5t_ard_3-0-0_112076_1989-03-10_final
1989-03-31 09:42:30	ga_ls5t_ard_3-0-0_099078_1989-03-31_final
1989-08-06 09:37:39	ga_ls5t_ard_3-0-0_099071_1989-08-06_final
1990-05-06 10:13:21	ga_ls5t_ard_3-0-0_106069_1990-05-06_final
1990-09-26 09:32:51	ga_ls5t_ard_3-0-0_099077_1990-09-26_final
1990-11-05 08:42:19	ga_ls5t_ard_3-1-0_091075_1990-11-04_final
1991-04-26 10:51:44	ga_ls5t_ard_3-0-0_111083_1991-04-26_final
1992-01-02 10:31:48	ga_ls5t_ard_3-0-0_108074_1992-01-02_final
1992-01-23 09:08:40	ga_ls5t_ard_3-0-0_095067_1992-01-22_final
1992-02-19 08:57:36	ga_ls5t_ard_3-0-0_092086_1992-02-18_final
1992-05-02 10:25:10	ga_ls5t_ard_3-0-0_107074_1992-05-02_final
1992-06-27 09:32:22	ga_ls5t_ard_3-0-0_099067_1992-06-27_final
1992-07-23 10:09:30	ga_ls5t_ard_3-0-0_105068_1992-07-23_final
1992-09-04 09:55:31	ga_ls5t_ard_3-0-0_102081_1992-09-04_final
1992-11-01 10:28:51	ga_ls5t_ard_3-0-0_108074_1992-11-01_final
1992-12-12 08:44:09	ga_ls5t_ard_3-1-0_091075_1992-12-11_final
1992-12-20 09:32:04	ga_ls5t_ard_3-0-0_099071_1992-12-20_final
1993-08-22 09:55:38	ga_ls5t_ard_3-0-0_102081_1993-08-22_final
1993-10-20 09:34:05	ga_ls5t_ard_3-0-0_099074_1993-10-20_final
1994-05-22 10:33:56	ga_ls5t_ard_3-0-0_109076_1994-05-22_final
1994-08-04 09:27:54	ga_ls5t_ard_3-0-0_099070_1994-08-03_final
1994-10-02 10:51:56	ga_ls5t_ard_3-0-0_112083_1994-10-02_final
1995-03-31 10:17:07	ga_ls5t_ard_3-0-0_108074_1995-03-31_final
1995-09-07 10:09:54	ga_ls5t_ard_3-0-0_108074_1995-09-07_final
1996-04-27 10:11:46	ga_ls5t_ard_3-0-0_107075_1996-04-27_final
1996-06-09 09:56:29	ga_ls5t_ard_3-0-0_104077_1996-06-09_final
1996-10-27 10:27:26	ga_ls5t_ard_3-0-0_108074_1996-10-27_final
1997-01-16 09:36:27	ga_ls5t_ard_3-0-0_099076_1997-01-16_final
1997-05-02 10:17:18	ga_ls5t_ard_3-0-0_105075_1997-05-02_final
1997-09-23 08:46:20	ga_ls5t_ard_3-0-0_089083_1997-09-22_final
1998-01-11 10:37:09	ga_ls5t_ard_3-0-0_107075_1998-01-11_final
1998-06-20 10:42:04	ga_ls5t_ard_3-0-0_107081_1998-06-20_final
1999-02-19 10:18:41	ga_ls5t_ard_3-0-0_103081_1999-02-19_final
1999-04-14 11:17:10	ga_ls5t_ard_3-0-0_113074_1999-04-14_final
1999-07-25 10:39:29	ga_ls5t_ard_3-0-0_107075_1999-07-25_final
2003-07-13 10:32:21	ga_ls5t_ard_3-0-0_106076_2003-07-13_final
2003-09-15 10:33:29	ga_ls5t_ard_3-0-0_106076_2003-09-15_final
2003-11-24 09:57:45	ga_ls5t_ard_3-0-0_100077_2003-11-24_final
2004-04-15 10:53:24	ga_ls5t_ard_3-0-0_109074_2004-04-15_final
2004-08-06 10:00:04	ga_ls5t_ard_3-0-0_100072_2004-08-06_final
2004-10-27 09:54:28	ga_ls5t_ard_3-0-0_098084_2004-10-27_final
2005-01-30 09:09:35	ga_ls5t_ard_3-0-0_091076_2005-01-29_final
2005-03-08 09:32:41	ga_ls5t_ard_3-0-0_094086_2005-03-08_final
2005-08-01 10:55:28	ga_ls5t_ard_3-0-0_108074_2005-08-01_final
2006-06-17 09:26:51	ga_ls5t_ard_3-0-0_092088_2006-06-16_final
2006-06-24 11:06:27	ga_ls5t_ard_3-0-0_109074_2006-06-24_final
2006-11-04 09:44:55	ga_ls5t_ard_3-1-0_096067_2006-11-04_final
2006-11-29 09:38:57	ga_ls5t_ard_3-0-0_095067_2006-11-29_final
2008-02-02 09:51:34	ga_ls5t_ard_3-0-0_097077_2008-02-02_final
2008-10-06 09:53:44	ga_ls5t_ard_3-0-0_098083_2008-10-06_final
2009-09-18 09:41:47	ga_ls5t_ard_3-0-0_095086_2009-09-18_final
2009-10-02 09:51:55	ga_ls5t_ard_3-0-0_097080_2009-10-02_final
2009-11-24 10:09:43	ga_ls5t_ard_3-0-0_100077_2009-11-24_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