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

47 results

Time (local)	Label
1988-08-14 09:23:42	ga_ls5t_ard_3-0-0_096073_1988-08-13_final
1988-12-16 09:49:14	ga_ls5t_ard_3-0-0_100076_1988-12-16_final
1989-01-11 08:50:55	ga_ls5t_ard_3-0-0_090085_1989-01-10_final
1989-08-15 11:12:56	ga_ls5t_ard_3-0-0_114078_1989-08-15_final
1989-12-14 09:21:05	ga_ls5t_ard_3-0-0_097069_1989-12-13_final
1990-07-14 09:00:32	ga_ls5t_ard_3-0-0_093088_1990-07-13_final
1990-12-08 09:26:37	ga_ls5t_ard_3-0-0_098078_1990-12-07_final
1990-12-20 09:52:23	ga_ls5t_ard_3-0-0_102080_1990-12-20_final
1991-03-16 09:19:08	ga_ls5t_ard_3-0-0_096085_1991-03-15_final
1991-03-21 11:12:44	ga_ls5t_ard_3-0-0_115075_1991-03-21_final
1991-04-22 09:35:55	ga_ls5t_ard_3-0-0_099079_1991-04-22_final
1991-11-09 09:28:44	ga_ls5t_ard_3-0-0_098071_1991-11-08_final
1991-12-18 09:37:29	ga_ls5t_ard_3-0-0_099077_1991-12-18_final
1992-04-22 09:49:22	ga_ls5t_ard_3-0-0_101077_1992-04-22_final
1992-07-02 09:56:25	ga_ls5t_ard_3-0-0_102081_1992-07-02_final
1992-09-15 09:31:38	ga_ls5t_ard_3-0-0_099068_1992-09-15_final
1992-11-03 08:43:09	ga_ls5t_ard_3-0-0_090088_1992-11-02_final
1993-07-07 09:42:30	ga_ls5t_ard_3-0-0_100079_1993-07-07_final
1993-07-16 11:13:36	ga_ls5t_ard_3-0-0_115075_1993-07-16_final
1993-09-02 11:14:46	ga_ls5t_ard_3-0-0_115078_1993-09-02_final
1994-06-12 09:17:10	ga_ls5t_ard_3-0-0_096086_1994-06-11_final
1995-01-28 10:06:53	ga_ls5t_ard_3-0-0_106073_1995-01-28_final
1995-02-19 09:30:54	ga_ls5t_ard_3-0-0_100078_1995-02-19_final
1995-04-04 08:16:33	ga_ls5t_ard_3-1-0_088082_1995-04-03_final
1995-06-21 08:23:26	ga_ls5t_ard_3-0-0_090077_1995-06-20_final
1996-07-24 09:29:10	ga_ls5t_ard_3-0-0_099080_1996-07-23_final
1997-10-15 09:46:45	ga_ls5t_ard_3-0-0_099078_1997-10-15_final
1997-10-25 10:20:07	ga_ls5t_ard_3-0-0_105068_1997-10-25_final
1998-03-02 08:48:05	ga_ls5t_ard_3-0-0_089078_1998-03-01_final
1998-03-29 10:10:01	ga_ls5t_ard_3-0-0_102081_1998-03-29_final
1998-08-06 09:57:40	ga_ls5t_ard_3-0-0_100077_1998-08-06_final
1999-08-09 09:57:23	ga_ls5t_ard_3-0-0_100078_1999-08-09_final
1999-08-18 09:51:28	ga_ls5t_ard_3-0-0_099079_1999-08-18_final
2004-02-17 10:18:22	ga_ls5t_ard_3-0-0_103081_2004-02-17_final
2004-02-22 10:32:33	ga_ls5t_ard_3-0-0_106070_2004-02-22_final
2005-01-10 09:32:50	ga_ls5t_ard_3-0-0_095073_2005-01-10_final
2005-03-11 10:00:02	ga_ls5t_ard_3-0-0_099077_2005-03-11_final
2005-11-13 10:07:38	ga_ls5t_ard_3-0-0_100077_2005-11-13_final
2006-05-01 10:05:03	ga_ls5t_ard_3-0-0_099077_2006-05-01_final
2006-12-16 10:27:56	ga_ls5t_ard_3-0-0_102081_2006-12-16_final
2007-04-02 10:08:47	ga_ls5t_ard_3-0-0_099079_2007-04-02_final
2007-05-19 09:28:44	ga_ls5t_ard_3-0-0_092088_2007-05-18_final
2007-06-11 09:34:33	ga_ls5t_ard_3-0-0_093088_2007-06-11_final
2007-08-24 10:07:12	ga_ls5t_ard_3-0-0_099079_2007-08-24_final
2008-02-23 10:10:08	ga_ls5t_ard_3-1-0_100078_2008-02-23_final
2008-10-29 09:57:08	ga_ls5t_ard_3-0-0_099078_2008-10-29_final
2009-09-19 10:23:03	ga_ls5t_ard_3-0-0_102081_2009-09-19_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years