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

43 results

Time (local)	Label
1987-12-13 10:43:01	ga_ls5t_ard_3-0-0_109076_1987-12-13_final
1988-03-12 09:40:37	ga_ls5t_ard_3-0-0_099071_1988-03-12_final
1988-07-08 09:05:54	ga_ls5t_ard_3-0-0_093075_1988-07-07_final
1988-10-06 09:46:09	ga_ls5t_ard_3-0-0_099083_1988-10-06_final
1988-12-10 08:48:19	ga_ls5t_ard_3-0-0_090078_1988-12-09_final
1989-04-16 09:42:59	ga_ls5t_ard_3-0-0_099079_1989-04-16_final
1989-12-11 08:57:50	ga_ls5t_ard_3-0-0_092088_1989-12-10_final
1990-07-24 09:32:47	ga_ls5t_ard_3-0-0_099076_1990-07-24_final
1990-08-07 09:43:05	ga_ls5t_ard_3-0-0_101071_1990-08-07_final
1990-10-12 09:33:31	ga_ls5t_ard_3-0-0_099079_1990-10-12_final
1991-03-30 09:29:43	ga_ls5t_ard_3-0-0_098080_1991-03-29_final
1991-04-30 08:50:38	ga_ls5t_ard_3-0-0_091089_1991-04-29_final
1991-07-21 08:37:55	ga_ls5t_ard_3-0-0_089085_1991-07-20_final
1991-11-06 10:37:54	ga_ls5t_ard_3-0-0_109074_1991-11-06_final
1991-12-11 11:11:30	ga_ls5t_ard_3-0-0_114080_1991-12-11_final
1992-06-26 08:51:54	ga_ls5t_ard_3-1-0_092074_1992-06-25_final
1993-03-26 09:36:04	ga_ls5t_ard_3-0-0_099079_1993-03-26_final
1994-12-21 09:06:03	ga_ls5t_ard_3-0-0_096072_1994-12-20_final
1995-01-30 08:19:09	ga_ls5t_ard_3-1-0_088082_1995-01-29_final
1995-05-25 08:46:48	ga_ls5t_ard_3-0-0_093086_1995-05-24_final
1995-10-30 10:29:13	ga_ls5t_ard_3-0-0_111083_1995-10-30_final
1996-03-13 10:43:28	ga_ls5t_ard_3-0-0_112084_1996-03-13_final
1996-05-05 09:23:36	ga_ls5t_ard_3-0-0_099077_1996-05-04_final
1997-12-10 10:36:01	ga_ls5t_ard_3-0-0_107074_1997-12-10_final
1999-02-01 10:28:52	ga_ls5t_ard_3-0-0_105076_1999-02-01_final
1999-03-27 09:52:43	ga_ls5t_ard_3-0-0_099079_1999-03-27_final
1999-05-23 09:46:01	ga_ls5t_ard_3-0-0_098079_1999-05-23_final
1999-10-29 08:59:37	ga_ls5t_ard_3-0-0_091076_1999-10-28_final
2003-07-04 10:37:59	ga_ls5t_ard_3-0-0_107075_2003-07-04_final
2003-08-06 09:40:57	ga_ls5t_ard_3-0-0_098070_2003-08-06_final
2003-08-20 09:56:45	ga_ls5t_ard_3-1-0_100078_2003-08-20_final
2003-10-01 10:33:40	ga_ls5t_ard_3-0-0_106076_2003-10-01_final
2003-12-12 09:45:52	ga_ls5t_ard_3-0-0_098078_2003-12-12_final
2004-02-21 11:30:58	ga_ls5t_ard_3-0-0_115077_2004-02-21_final
2004-04-27 09:39:34	ga_ls5t_ard_3-0-0_097074_2004-04-27_final
2004-05-07 10:17:44	ga_ls5t_ard_3-0-0_103076_2004-05-07_final
2004-08-03 09:35:06	ga_ls5t_ard_3-1-0_095087_2004-08-03_final
2004-08-30 10:50:57	ga_ls5t_ard_3-0-0_108074_2004-08-30_final
2005-02-24 10:42:42	ga_ls5t_ard_3-0-0_106076_2005-02-24_final
2006-08-25 11:20:26	ga_ls5t_ard_3-0-0_111076_2006-08-25_final
2006-09-19 09:34:28	ga_ls5t_ard_3-0-0_094073_2006-09-19_final
2007-02-05 10:59:07	ga_ls5t_ard_3-0-0_107081_2007-02-05_final
2009-06-12 09:50:36	ga_ls5t_ard_3-0-0_097081_2009-06-12_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