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

56 results

Time (local)	Label
1987-09-24 10:40:46	ga_ls5t_ard_3-0-0_109074_1987-09-24_final
1987-10-24 10:53:17	ga_ls5t_ard_3-0-0_111073_1987-10-24_final
1987-11-11 09:03:14	ga_ls5t_ard_3-0-0_093075_1987-11-10_final
1988-03-19 09:46:51	ga_ls5t_ard_3-0-0_100071_1988-03-19_final
1988-06-17 08:51:41	ga_ls5t_ard_3-0-0_090086_1988-06-16_final
1988-09-10 10:44:30	ga_ls5t_ard_3-0-0_109074_1988-09-10_final
1988-10-18 10:05:12	ga_ls5t_ard_3-0-0_103069_1988-10-18_final
1988-11-26 08:37:20	ga_ls5t_ard_3-0-0_088081_1988-11-25_final
1989-01-26 09:40:41	ga_ls5t_ard_3-0-0_099071_1989-01-26_final
1989-11-23 09:09:47	ga_ls5t_ard_3-0-0_094086_1989-11-22_final
1990-03-25 09:37:32	ga_ls5t_ard_3-0-0_100072_1990-03-25_final
1990-06-12 10:36:41	ga_ls5t_ard_3-0-0_109081_1990-06-12_final
1990-08-22 09:05:45	ga_ls5t_ard_3-0-0_094086_1990-08-21_final
1991-01-26 10:07:08	ga_ls5t_ard_3-0-0_105068_1991-01-26_final
1991-05-10 09:20:18	ga_ls5t_ard_3-0-0_097070_1991-05-09_final
1992-06-06 10:52:58	ga_ls5t_ard_3-0-0_112067_1992-06-06_final
1993-03-06 09:57:58	ga_ls5t_ard_3-0-0_103072_1993-03-06_final
1993-07-15 08:55:51	ga_ls5t_ard_3-0-0_092086_1993-07-14_final
1995-03-06 10:25:08	ga_ls5t_ard_3-0-0_109076_1995-03-06_final
1995-04-21 10:34:47	ga_ls5t_ard_3-0-0_111074_1995-04-21_final
1995-10-20 09:49:07	ga_ls5t_ard_3-0-0_105074_1995-10-20_final
1996-01-01 08:09:24	ga_ls5t_ard_3-0-0_088082_1995-12-31_final
1996-05-13 08:38:14	ga_ls5t_ard_3-0-0_091086_1996-05-12_final
1996-06-12 10:29:09	ga_ls5t_ard_3-0-0_109081_1996-06-12_final
1996-07-24 09:24:47	ga_ls5t_ard_3-0-0_099069_1996-07-23_final
1997-03-29 08:50:22	ga_ls5t_ard_3-0-0_091077_1997-03-28_final
1997-06-24 10:37:17	ga_ls5t_ard_3-0-0_108074_1997-06-24_final
1997-08-03 09:52:48	ga_ls5t_ard_3-0-0_100083_1997-08-03_final
1998-04-29 11:04:02	ga_ls5t_ard_3-0-0_111076_1998-04-29_final
1998-07-30 09:51:28	ga_ls5t_ard_3-0-0_099077_1998-07-30_final
1998-10-02 09:52:44	ga_ls5t_ard_3-0-0_099079_1998-10-02_final
1998-10-14 10:18:15	ga_ls5t_ard_3-0-0_103081_1998-10-14_final
1998-11-11 09:03:05	ga_ls5t_ard_3-0-0_091078_1998-11-10_final
1999-04-08 10:13:20	ga_ls5t_ard_3-0-0_103069_1999-04-08_final
2003-10-23 09:57:18	ga_ls5t_ard_3-0-0_100077_2003-10-23_final
2003-10-29 10:57:57	ga_ls5t_ard_3-0-0_110074_2003-10-29_final
2004-07-10 10:20:01	ga_ls5t_ard_3-0-0_103077_2004-07-10_final
2004-09-08 09:09:43	ga_ls5t_ard_3-0-0_091083_2004-09-07_final
2005-02-01 10:32:56	ga_ls5t_ard_3-0-0_105068_2005-02-01_final
2005-03-27 10:00:34	ga_ls5t_ard_3-0-0_099078_2005-03-27_final
2005-09-16 09:33:33	ga_ls5t_ard_3-0-0_094085_2005-09-16_final
2006-06-02 10:02:42	ga_ls5t_ard_3-0-0_099070_2006-06-02_final
2006-06-25 10:10:02	ga_ls5t_ard_3-0-0_100072_2006-06-25_final
2006-08-11 09:25:25	ga_ls5t_ard_3-1-0_093067_2006-08-10_final
2006-08-21 10:07:01	ga_ls5t_ard_3-0-0_099078_2006-08-21_final
2006-11-25 10:04:26	ga_ls5t_ard_3-0-0_099069_2006-11-25_final
2007-09-27 11:31:26	ga_ls5t_ard_3-0-0_113074_2007-09-27_final
2008-04-17 11:07:59	ga_ls5t_ard_3-0-0_110071_2008-04-17_final
2009-02-18 09:57:04	ga_ls5t_ard_3-0-0_099072_2009-02-18_final
2009-03-05 10:57:51	ga_ls5t_ard_3-0-0_108084_2009-03-05_final
2009-03-30 09:14:56	ga_ls5t_ard_3-0-0_091088_2009-03-29_final
2009-04-17 10:35:26	ga_ls5t_ard_3-0-0_105072_2009-04-17_final
2009-08-02 10:19:35	ga_ls5t_ard_3-0-0_102074_2009-08-02_final
2009-09-22 09:17:06	ga_ls5t_ard_3-0-0_091086_2009-09-21_final
2009-10-16 10:01:14	ga_ls5t_ard_3-0-0_099072_2009-10-16_final
2009-10-30 10:13:19	ga_ls5t_ard_3-0-0_101071_2009-10-30_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