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

49 results

Time (local)	Label
1987-09-18 09:40:50	ga_ls5t_ard_3-0-0_099079_1987-09-18_final
1988-01-09 08:46:26	ga_ls5t_ard_3-0-0_090077_1988-01-08_final
1988-02-09 09:43:26	ga_ls5t_ard_3-0-0_099079_1988-02-09_final
1988-09-19 08:59:23	ga_ls5t_ard_3-1-0_092074_1988-09-18_final
1988-12-20 11:03:23	ga_ls5t_ard_3-0-0_112076_1988-12-20_final
1989-04-16 11:20:16	ga_ls5t_ard_3-0-0_115075_1989-04-16_final
1989-11-01 09:43:37	ga_ls5t_ard_3-0-0_100076_1989-11-01_final
1990-03-16 09:46:00	ga_ls5t_ard_3-0-0_101077_1990-03-16_final
1990-04-03 09:30:45	ga_ls5t_ard_3-0-0_099071_1990-04-03_final
1990-06-09 08:26:55	ga_ls5t_ard_3-1-0_088081_1990-06-08_final
1990-09-12 09:17:25	ga_ls5t_ard_3-0-0_097069_1990-09-11_final
1990-10-29 08:36:58	ga_ls5t_ard_3-0-0_090077_1990-10-28_final
1991-04-25 08:28:22	ga_ls5t_ard_3-1-0_088080_1991-04-24_final
1991-07-01 09:02:47	ga_ls5t_ard_3-0-0_093086_1991-06-30_final
1991-07-27 09:36:35	ga_ls5t_ard_3-0-0_099077_1991-07-27_final
1991-08-04 10:25:15	ga_ls5t_ard_3-0-0_107075_1991-08-04_final
1991-11-17 10:17:48	ga_ls5t_ard_3-0-0_106070_1991-11-17_final
1992-05-09 08:57:59	ga_ls5t_ard_3-0-0_092088_1992-05-08_final
1992-10-03 11:01:45	ga_ls5t_ard_3-0-0_113078_1992-10-03_final
1993-03-10 09:35:16	ga_ls5t_ard_3-0-0_099077_1993-03-10_final
1993-06-22 10:24:15	ga_ls5t_ard_3-0-0_107075_1993-06-22_final
1994-04-07 09:27:58	ga_ls5t_ard_3-0-0_098079_1994-04-06_final
1994-05-24 08:47:51	ga_ls5t_ard_3-0-0_091089_1994-05-23_final
1994-05-24 10:21:08	ga_ls5t_ard_3-0-0_107075_1994-05-24_final
1995-05-03 09:23:42	ga_ls5t_ard_3-0-0_099083_1995-05-02_final
1995-09-30 08:40:50	ga_ls5t_ard_3-0-0_093086_1995-09-29_final
1995-11-26 10:07:20	ga_ls5t_ard_3-0-0_108074_1995-11-26_final
1996-02-03 10:27:53	ga_ls5t_ard_3-0-0_111067_1996-02-03_final
1996-03-08 10:20:37	ga_ls5t_ard_3-0-0_109074_1996-03-08_final
1996-03-25 09:27:17	ga_ls5t_ard_3-0-0_100077_1996-03-24_final
1997-02-04 08:31:42	ga_ls5t_ard_3-1-0_088082_1997-02-03_final
1998-11-25 10:52:45	ga_ls5t_ard_3-0-0_109074_1998-11-25_final
1999-03-18 09:58:17	ga_ls5t_ard_3-0-0_100077_1999-03-18_final
1999-07-14 09:15:57	ga_ls5t_ard_3-0-0_094067_1999-07-13_final
1999-07-17 09:51:39	ga_ls5t_ard_3-0-0_099079_1999-07-17_final
2003-09-14 09:51:00	ga_ls5t_ard_3-0-0_099078_2003-09-14_final
2004-05-12 10:36:26	ga_ls5t_ard_3-0-0_106076_2004-05-12_final
2004-07-06 09:04:56	ga_ls5t_ard_3-1-0_091075_2004-07-05_final
2005-04-27 10:56:19	ga_ls5t_ard_3-0-0_108078_2005-04-27_final
2005-06-23 09:16:04	ga_ls5t_ard_3-0-0_091089_2005-06-22_final
2005-10-17 10:23:53	ga_ls5t_ard_3-0-0_103072_2005-10-17_final
2006-04-09 09:03:18	ga_ls5t_ard_3-0-0_089078_2006-04-08_final
2006-09-07 10:50:05	ga_ls5t_ard_3-0-0_106077_2006-09-07_final
2006-11-25 10:05:14	ga_ls5t_ard_3-0-0_099071_2006-11-25_final
2007-02-14 09:12:28	ga_ls5t_ard_3-0-0_090077_2007-02-13_final
2007-07-23 11:45:36	ga_ls5t_ard_3-0-0_115077_2007-07-23_final
2008-02-16 10:04:05	ga_ls5t_ard_3-0-0_099078_2008-02-16_final
2010-09-08 10:09:32	ga_ls5t_ard_3-0-0_100077_2010-09-08_final
2011-01-07 10:00:39	ga_ls5t_ard_3-0-0_099071_2011-01-07_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