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

45 results

Time (local)	Label
1987-11-11 10:41:43	ga_ls5t_ard_3-0-0_109074_1987-11-11_final
1988-01-15 09:47:58	ga_ls5t_ard_3-0-0_100076_1988-01-15_final
1988-02-07 09:57:22	ga_ls5t_ard_3-1-0_101083_1988-02-07_final
1990-02-02 10:47:36	ga_ls5t_ard_3-0-0_111073_1990-02-02_final
1990-10-16 10:45:40	ga_ls5t_ard_3-0-0_111074_1990-10-16_final
1990-11-06 09:24:24	ga_ls5t_ard_3-0-0_098072_1990-11-05_final
1991-03-11 10:35:02	ga_ls5t_ard_3-0-0_109074_1991-03-11_final
1991-03-21 09:32:15	ga_ls5t_ard_3-0-0_099071_1991-03-21_final
1991-04-11 09:55:30	ga_ls5t_ard_3-0-0_102082_1991-04-11_final
1991-06-09 11:15:12	ga_ls5t_ard_3-0-0_115078_1991-06-09_final
1991-06-10 10:16:23	ga_ls5t_ard_3-0-0_106070_1991-06-10_final
1991-07-03 08:52:03	ga_ls5t_ard_3-0-0_091090_1991-07-02_final
1991-11-17 08:41:42	ga_ls5t_ard_3-0-0_090077_1991-11-16_final
1993-01-02 10:41:22	ga_ls5t_ard_3-0-0_110074_1993-01-02_final
1993-04-29 09:21:35	ga_ls5t_ard_3-0-0_097073_1993-04-28_final
1993-07-01 10:15:12	ga_ls5t_ard_3-0-0_106068_1993-07-01_final
1993-09-22 10:50:47	ga_ls5t_ard_3-0-0_111080_1993-09-22_final
1993-11-21 11:14:19	ga_ls5t_ard_3-0-0_115078_1993-11-21_final
1993-12-02 09:19:39	ga_ls5t_ard_3-0-0_096085_1993-12-01_final
1994-05-25 09:27:06	ga_ls5t_ard_3-0-0_098079_1994-05-24_final
1994-07-03 09:32:23	ga_ls5t_ard_3-0-0_099079_1994-07-03_final
1994-11-16 10:15:55	ga_ls5t_ard_3-0-0_107074_1994-11-16_final
1995-01-26 08:41:14	ga_ls5t_ard_3-0-0_092075_1995-01-25_final
1995-04-02 10:03:53	ga_ls5t_ard_3-0-0_106072_1995-04-02_final
1996-07-25 10:08:30	ga_ls5t_ard_3-0-0_106070_1996-07-25_final
1996-08-06 09:01:21	ga_ls5t_ard_3-0-0_094086_1996-08-05_final
1996-10-19 09:39:35	ga_ls5t_ard_3-0-0_100079_1996-10-19_final
1997-02-01 09:40:21	ga_ls5t_ard_3-0-0_099084_1997-02-01_final
1997-06-26 08:47:18	ga_ls5t_ard_3-0-0_090077_1997-06-25_final
1999-09-29 10:23:06	ga_ls5t_ard_3-0-0_105068_1999-09-29_final
2003-08-30 10:32:48	ga_ls5t_ard_3-0-0_106075_2003-08-30_final
2003-11-27 10:25:05	ga_ls5t_ard_3-0-0_105068_2003-11-27_final
2004-02-14 09:46:15	ga_ls5t_ard_3-0-0_098078_2004-02-14_final
2004-02-22 10:31:45	ga_ls5t_ard_3-0-0_106068_2004-02-22_final
2004-03-12 11:05:33	ga_ls5t_ard_3-0-0_111075_2004-03-12_final
2004-06-30 09:43:03	ga_ls5t_ard_3-0-0_097078_2004-06-30_final
2004-12-21 11:37:23	ga_ls5t_ard_3-0-0_115076_2004-12-21_final
2005-04-10 10:12:59	ga_ls5t_ard_3-0-0_101078_2005-04-10_final
2005-08-02 09:58:15	ga_ls5t_ard_3-0-0_099070_2005-08-02_final
2005-08-08 11:02:06	ga_ls5t_ard_3-0-0_109075_2005-08-08_final
2007-06-11 11:08:39	ga_ls5t_ard_3-0-0_109076_2007-06-11_final
2007-09-09 11:45:57	ga_ls5t_ard_3-0-0_115079_2007-09-09_final
2008-12-22 11:02:09	ga_ls5t_ard_3-0-0_109084_2008-12-22_final
2009-10-08 09:15:18	ga_ls5t_ard_3-0-0_091081_2009-10-07_final
2010-11-22 11:28:15	ga_ls5t_ard_3-0-0_113074_2010-11-22_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