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
1988-03-12 09:43:49	ga_ls5t_ard_3-0-0_099079_1988-03-12_final
1988-09-19 10:38:16	ga_ls5t_ard_3-0-0_108074_1988-09-19_final
1989-02-27 09:44:08	ga_ls5t_ard_3-0-0_099080_1989-02-27_final
1990-04-19 09:33:45	ga_ls5t_ard_3-0-0_099078_1990-04-19_final
1990-06-03 09:06:23	ga_ls5t_ard_3-0-0_094087_1990-06-02_final
1990-09-12 09:17:25	ga_ls5t_ard_3-0-0_097069_1990-09-11_final
1991-03-05 09:34:16	ga_ls5t_ard_3-0-0_099077_1991-03-05_final
1991-03-15 10:13:57	ga_ls5t_ard_3-1-0_105083_1991-03-15_final
1991-05-08 09:35:27	ga_ls5t_ard_3-0-0_099077_1991-05-08_final
1991-05-16 08:45:17	ga_ls5t_ard_3-1-0_091075_1991-05-15_final
1991-06-04 10:55:01	ga_ls5t_ard_3-0-0_112074_1991-06-04_final
1991-12-10 08:52:33	ga_ls5t_ard_3-0-0_091088_1991-12-09_final
1992-03-24 08:41:37	ga_ls5t_ard_3-0-0_090077_1992-03-23_final
1992-05-26 09:36:42	ga_ls5t_ard_3-0-0_099077_1992-05-26_final
1992-08-10 10:02:05	ga_ls5t_ard_3-0-0_103081_1992-08-10_final
1993-02-06 09:35:48	ga_ls5t_ard_3-0-0_099079_1993-02-06_final
1993-11-11 10:35:43	ga_ls5t_ard_3-0-0_109074_1993-11-11_final
1994-06-24 09:38:25	ga_ls5t_ard_3-0-0_100078_1994-06-24_final
1994-11-26 10:52:40	ga_ls5t_ard_3-0-0_113074_1994-11-26_final
1994-12-23 10:31:42	ga_ls5t_ard_3-0-0_110070_1994-12-23_final
1995-02-21 09:19:15	ga_ls5t_ard_3-0-0_098080_1995-02-20_final
1995-04-01 11:00:45	ga_ls5t_ard_3-0-0_115075_1995-04-01_final
1995-04-23 10:22:21	ga_ls5t_ard_3-0-0_109074_1995-04-23_final
1995-07-03 10:25:41	ga_ls5t_ard_3-0-0_110075_1995-07-03_final
1995-09-18 09:50:01	ga_ls5t_ard_3-0-0_105072_1995-09-18_final
1995-12-26 10:18:57	ga_ls5t_ard_3-0-0_110067_1995-12-26_final
1996-05-05 09:24:24	ga_ls5t_ard_3-0-0_099079_1996-05-04_final
1996-12-27 09:57:02	ga_ls5t_ard_3-0-0_103068_1996-12-27_final
1997-02-14 10:44:54	ga_ls5t_ard_3-1-0_110074_1997-02-14_final
1997-03-10 09:59:14	ga_ls5t_ard_3-0-0_102081_1997-03-10_final
1998-04-01 10:41:21	ga_ls5t_ard_3-0-0_107082_1998-04-01_final
1998-05-27 09:50:45	ga_ls5t_ard_3-0-0_099077_1998-05-27_final
1998-11-22 08:46:10	ga_ls5t_ard_3-1-0_088082_1998-11-21_final
1999-05-30 09:51:15	ga_ls5t_ard_3-0-0_099077_1999-05-30_final
1999-06-23 09:06:22	ga_ls5t_ard_3-0-0_091089_1999-06-22_final
1999-08-15 10:57:30	ga_ls5t_ard_3-0-0_110074_1999-08-15_final
1999-11-06 09:49:34	ga_ls5t_ard_3-0-0_099078_1999-11-06_final
1999-11-22 09:48:33	ga_ls5t_ard_3-0-0_099077_1999-11-22_final
2003-08-10 10:57:10	ga_ls5t_ard_3-0-0_110075_2003-08-10_final
2004-09-11 09:41:06	ga_ls5t_ard_3-0-0_096084_2004-09-11_final
2004-11-27 10:46:40	ga_ls5t_ard_3-0-0_107074_2004-11-27_final
2005-02-01 10:36:07	ga_ls5t_ard_3-0-0_105076_2005-02-01_final
2005-03-11 10:00:26	ga_ls5t_ard_3-0-0_099078_2005-03-11_final
2005-05-07 09:54:59	ga_ls5t_ard_3-0-0_098079_2005-05-07_final
2005-06-28 11:06:43	ga_ls5t_ard_3-0-0_110072_2005-06-28_final
2006-04-30 09:21:22	ga_ls5t_ard_3-0-0_092076_2006-04-29_final
2006-10-14 11:09:03	ga_ls5t_ard_3-0-0_109077_2006-10-14_final
2007-02-13 10:04:30	ga_ls5t_ard_3-0-0_099068_2007-02-13_final
2007-07-25 11:35:37	ga_ls5t_ard_3-0-0_113083_2007-07-25_final
2007-07-31 10:57:41	ga_ls5t_ard_3-0-0_107081_2007-07-31_final
2007-08-17 10:00:42	ga_ls5t_ard_3-0-0_098078_2007-08-17_final
2008-09-16 10:18:17	ga_ls5t_ard_3-0-0_102081_2008-09-16_final
2009-03-14 10:48:17	ga_ls5t_ard_3-0-0_107075_2009-03-14_final
2009-09-30 10:04:15	ga_ls5t_ard_3-0-0_099080_2009-09-30_final
2009-10-24 10:51:57	ga_ls5t_ard_3-0-0_107075_2009-10-24_final
2010-04-09 09:21:58	ga_ls5t_ard_3-0-0_092080_2010-04-08_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