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

42 results

Time (local)	Label
1988-01-25 10:22:26	ga_ls5t_ard_3-0-0_106069_1988-01-25_final
1988-04-18 09:58:59	ga_ls5t_ard_3-0-0_102070_1988-04-18_final
1988-06-08 08:59:24	ga_ls5t_ard_3-0-0_091090_1988-06-07_final
1988-12-17 10:34:30	ga_ls5t_ard_3-0-0_107081_1988-12-17_final
1989-06-11 08:56:32	ga_ls5t_ard_3-1-0_091089_1989-06-10_final
1989-08-06 09:40:03	ga_ls5t_ard_3-0-0_099077_1989-08-06_final
1991-01-27 10:52:49	ga_ls5t_ard_3-0-0_112074_1991-01-27_final
1991-11-16 09:36:56	ga_ls5t_ard_3-0-0_099076_1991-11-16_final
1992-01-12 09:31:59	ga_ls5t_ard_3-0-0_098079_1992-01-12_final
1992-03-22 08:52:49	ga_ls5t_ard_3-1-0_092074_1992-03-21_final
1992-04-30 10:37:33	ga_ls5t_ard_3-0-0_109074_1992-04-30_final
1992-09-16 08:43:59	ga_ls5t_ard_3-0-0_090088_1992-09-15_final
1993-03-25 08:50:48	ga_ls5t_ard_3-1-0_092074_1993-03-24_final
1993-04-26 10:29:58	ga_ls5t_ard_3-0-0_108074_1993-04-26_final
1994-09-21 09:30:19	ga_ls5t_ard_3-0-0_099079_1994-09-21_final
1995-01-07 09:50:20	ga_ls5t_ard_3-0-0_103076_1995-01-07_final
1995-02-27 10:18:26	ga_ls5t_ard_3-0-0_108074_1995-02-27_final
1995-07-30 08:27:03	ga_ls5t_ard_3-1-0_091075_1995-07-29_final
1995-08-07 09:17:20	ga_ls5t_ard_3-0-0_099078_1995-08-06_final
1996-03-02 09:19:36	ga_ls5t_ard_3-0-0_099077_1996-03-01_final
1996-11-04 09:39:10	ga_ls5t_ard_3-0-0_100076_1996-11-04_final
1996-12-07 10:23:35	ga_ls5t_ard_3-0-0_107075_1996-12-07_final
1997-02-02 08:43:34	ga_ls5t_ard_3-0-0_090081_1997-02-01_final
1997-02-14 10:44:30	ga_ls5t_ard_3-0-0_110073_1997-02-14_final
1997-09-19 10:46:13	ga_ls5t_ard_3-0-0_109074_1997-09-19_final
1997-09-29 09:42:44	ga_ls5t_ard_3-1-0_099069_1997-09-29_final
1998-05-22 09:28:07	ga_ls5t_ard_3-1-0_096067_1998-05-21_final
1998-08-23 10:40:19	ga_ls5t_ard_3-0-0_107075_1998-08-23_final
1998-09-24 10:40:35	ga_ls5t_ard_3-0-0_107075_1998-09-24_final
1999-07-09 10:39:32	ga_ls5t_ard_3-0-0_107075_1999-07-09_final
1999-09-06 08:43:44	ga_ls5t_ard_3-1-0_088081_1999-09-05_final
2003-07-03 09:55:54	ga_ls5t_ard_3-0-0_100078_2003-07-03_final
2004-06-29 10:37:51	ga_ls5t_ard_3-0-0_106076_2004-06-29_final
2004-09-17 10:39:52	ga_ls5t_ard_3-0-0_106076_2004-09-17_final
2004-11-16 11:05:22	ga_ls5t_ard_3-0-0_110075_2004-11-16_final
2005-05-09 09:37:50	ga_ls5t_ard_3-1-0_096067_2005-05-09_final
2007-01-20 10:56:41	ga_ls5t_ard_3-0-0_107075_2007-01-20_final
2007-05-04 10:07:46	ga_ls5t_ard_3-0-0_099077_2007-05-04_final
2007-06-27 11:09:32	ga_ls5t_ard_3-0-0_109079_2007-06-27_final
2009-12-13 10:39:36	ga_ls5t_ard_3-0-0_105074_2009-12-13_final
2010-02-10 10:24:09	ga_ls5t_ard_3-0-0_102081_2010-02-10_final
2010-10-14 09:40:33	ga_ls5t_ard_3-0-0_096067_2010-10-14_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