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

54 results

Time (local)	Label
1987-10-04 09:40:23	ga_ls5t_ard_3-0-0_099077_1987-10-04_final
1987-10-15 10:59:44	ga_ls5t_ard_3-0-0_112074_1987-10-15_final
1988-02-22 10:48:01	ga_ls5t_ard_3-0-0_110070_1988-02-22_final
1989-03-31 09:39:42	ga_ls5t_ard_3-0-0_099071_1989-03-31_final
1989-05-18 09:39:10	ga_ls5t_ard_3-0-0_099071_1989-05-18_final
1989-05-18 09:42:21	ga_ls5t_ard_3-0-0_099079_1989-05-18_final
1989-06-16 10:47:21	ga_ls5t_ard_3-0-0_110073_1989-06-16_final
1989-06-27 08:56:12	ga_ls5t_ard_3-0-0_091089_1989-06-26_final
1990-02-27 10:40:14	ga_ls5t_ard_3-0-0_110072_1990-02-27_final
1990-07-07 08:53:35	ga_ls5t_ard_3-0-0_092086_1990-07-06_final
1990-09-26 09:32:51	ga_ls5t_ard_3-0-0_099077_1990-09-26_final
1991-01-15 10:27:47	ga_ls5t_ard_3-0-0_108074_1991-01-15_final
1991-02-02 08:38:03	ga_ls5t_ard_3-0-0_090077_1991-02-01_final
1991-04-22 09:35:31	ga_ls5t_ard_3-0-0_099078_1991-04-22_final
1991-05-16 10:24:10	ga_ls5t_ard_3-0-0_107075_1991-05-16_final
1991-12-17 10:31:56	ga_ls5t_ard_3-0-0_108074_1991-12-17_final
1992-08-06 10:24:29	ga_ls5t_ard_3-0-0_107075_1992-08-06_final
1992-11-07 09:54:26	ga_ls5t_ard_3-0-0_102081_1992-11-07_final
1992-12-20 09:32:04	ga_ls5t_ard_3-0-0_099071_1992-12-20_final
1993-09-09 09:42:03	ga_ls5t_ard_3-0-0_100078_1993-09-09_final
1994-01-02 08:34:07	ga_ls5t_ard_3-0-0_089080_1994-01-01_final
1994-08-13 09:25:07	ga_ls5t_ard_3-0-0_098079_1994-08-12_final
1994-09-30 09:23:53	ga_ls5t_ard_3-0-0_098079_1994-09-29_final
1994-11-08 09:27:57	ga_ls5t_ard_3-0-0_099077_1994-11-07_final
1994-11-17 09:22:15	ga_ls5t_ard_3-0-0_098079_1994-11-16_final
1995-01-12 10:07:53	ga_ls5t_ard_3-0-0_106074_1995-01-12_final
1995-01-26 10:19:43	ga_ls5t_ard_3-0-0_108074_1995-01-26_final
1995-02-10 09:37:02	ga_ls5t_ard_3-0-0_101077_1995-02-10_final
1995-11-27 09:10:32	ga_ls5t_ard_3-0-0_099071_1995-11-26_final
1996-01-14 09:13:55	ga_ls5t_ard_3-0-0_099071_1996-01-13_final
1996-06-14 08:40:01	ga_ls5t_ard_3-0-0_091086_1996-06-13_final
1996-10-16 09:05:45	ga_ls5t_ard_3-0-0_095072_1996-10-15_final
1997-07-11 11:22:20	ga_ls5t_ard_3-0-0_115077_1997-07-11_final
1998-03-18 10:26:02	ga_ls5t_ard_3-0-0_105075_1998-03-18_final
1998-10-18 09:49:09	ga_ls5t_ard_3-0-0_099070_1998-10-18_final
1998-11-22 08:46:10	ga_ls5t_ard_3-1-0_088082_1998-11-21_final
1999-07-17 11:29:44	ga_ls5t_ard_3-0-0_115077_1999-07-17_final
1999-08-27 09:44:42	ga_ls5t_ard_3-0-0_098078_1999-08-27_final
1999-09-19 11:27:50	ga_ls5t_ard_3-0-0_115075_1999-09-19_final
1999-11-06 09:49:58	ga_ls5t_ard_3-0-0_099079_1999-11-06_final
2003-08-30 10:32:48	ga_ls5t_ard_3-0-0_106075_2003-08-30_final
2003-10-08 09:06:40	ga_ls5t_ard_3-0-0_091090_2003-10-07_final
2004-01-28 10:43:24	ga_ls5t_ard_3-0-0_107082_2004-01-28_final
2004-02-22 10:32:33	ga_ls5t_ard_3-0-0_106070_2004-02-22_final
2005-03-28 10:43:02	ga_ls5t_ard_3-0-0_106076_2005-03-28_final
2006-08-21 10:07:25	ga_ls5t_ard_3-0-0_099079_2006-08-21_final
2007-01-24 10:29:11	ga_ls5t_ard_3-0-0_103068_2007-01-24_final
2007-08-21 09:31:32	ga_ls5t_ard_3-0-0_094067_2007-08-21_final
2007-09-09 10:06:16	ga_ls5t_ard_3-0-0_099077_2007-09-09_final
2008-12-21 10:17:39	ga_ls5t_ard_3-0-0_102081_2008-12-21_final
2009-02-18 09:59:51	ga_ls5t_ard_3-0-0_099079_2009-02-18_final
2009-12-13 09:02:43	ga_ls5t_ard_3-0-0_089079_2009-12-12_final
2011-01-07 10:00:15	ga_ls5t_ard_3-1-0_099070_2011-01-07_final
2011-04-19 11:06:13	ga_ls5t_ard_3-0-0_109081_2011-04-19_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