Search ga_ls5t_ard_3 across February 2009

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

First 100 results (query limit)

Time (local)	Label
2009-02-03 09:07:27	ga_ls5t_ard_3-0-0_090088_2009-02-02_final
2009-02-03 09:07:51	ga_ls5t_ard_3-0-0_090089_2009-02-02_final
2009-02-03 09:08:15	ga_ls5t_ard_3-1-0_090090_2009-02-02_final
2009-02-03 10:38:21	ga_ls5t_ard_3-0-0_106068_2009-02-03_final
2009-02-03 10:38:45	ga_ls5t_ard_3-0-0_106069_2009-02-03_final
2009-02-03 10:39:09	ga_ls5t_ard_3-0-0_106070_2009-02-03_final
2009-02-03 10:39:57	ga_ls5t_ard_3-0-0_106072_2009-02-03_final
2009-02-03 10:40:21	ga_ls5t_ard_3-0-0_106073_2009-02-03_final
2009-02-03 10:40:45	ga_ls5t_ard_3-0-0_106074_2009-02-03_final
2009-02-03 10:41:09	ga_ls5t_ard_3-0-0_106075_2009-02-03_final
2009-02-03 10:41:33	ga_ls5t_ard_3-0-0_106076_2009-02-03_final
2009-02-03 10:41:56	ga_ls5t_ard_3-0-0_106077_2009-02-03_final
2009-02-03 10:42:21	ga_ls5t_ard_3-0-0_106078_2009-02-03_final
2009-02-03 10:42:44	ga_ls5t_ard_3-0-0_106079_2009-02-03_final
2009-02-03 10:43:08	ga_ls5t_ard_3-0-0_106080_2009-02-03_final
2009-02-03 10:43:32	ga_ls5t_ard_3-0-0_106081_2009-02-03_final
2009-02-03 10:43:56	ga_ls5t_ard_3-0-0_106082_2009-02-03_final
2009-02-03 10:44:20	ga_ls5t_ard_3-0-0_106083_2009-02-03_final
2009-02-04 09:45:09	ga_ls5t_ard_3-0-0_097074_2009-02-04_final
2009-02-04 09:45:33	ga_ls5t_ard_3-0-0_097075_2009-02-04_final
2009-02-04 09:45:57	ga_ls5t_ard_3-0-0_097076_2009-02-04_final
2009-02-04 09:46:21	ga_ls5t_ard_3-0-0_097077_2009-02-04_final
2009-02-04 09:46:45	ga_ls5t_ard_3-0-0_097078_2009-02-04_final
2009-02-04 09:47:09	ga_ls5t_ard_3-0-0_097079_2009-02-04_final
2009-02-04 09:47:32	ga_ls5t_ard_3-0-0_097080_2009-02-04_final
2009-02-04 09:47:56	ga_ls5t_ard_3-0-0_097081_2009-02-04_final
2009-02-04 09:48:20	ga_ls5t_ard_3-0-0_097082_2009-02-04_final
2009-02-04 09:48:44	ga_ls5t_ard_3-0-0_097083_2009-02-04_final
2009-02-04 09:49:08	ga_ls5t_ard_3-0-0_097084_2009-02-04_final
2009-02-04 09:49:32	ga_ls5t_ard_3-0-0_097085_2009-02-04_final
2009-02-04 11:21:15	ga_ls5t_ard_3-0-0_113067_2009-02-04_final
2009-02-04 11:24:02	ga_ls5t_ard_3-0-0_113074_2009-02-04_final
2009-02-04 11:24:26	ga_ls5t_ard_3-0-0_113075_2009-02-04_final
2009-02-04 11:24:50	ga_ls5t_ard_3-0-0_113076_2009-02-04_final
2009-02-05 10:26:03	ga_ls5t_ard_3-0-0_104068_2009-02-05_final
2009-02-05 10:26:27	ga_ls5t_ard_3-0-0_104069_2009-02-05_final
2009-02-05 10:28:26	ga_ls5t_ard_3-0-0_104074_2009-02-05_final
2009-02-05 10:28:50	ga_ls5t_ard_3-0-0_104075_2009-02-05_final
2009-02-05 10:29:14	ga_ls5t_ard_3-0-0_104076_2009-02-05_final
2009-02-05 10:29:38	ga_ls5t_ard_3-0-0_104077_2009-02-05_final
2009-02-05 10:30:02	ga_ls5t_ard_3-1-0_104078_2009-02-05_final
2009-02-05 10:30:26	ga_ls5t_ard_3-0-0_104079_2009-02-05_final
2009-02-05 10:30:50	ga_ls5t_ard_3-0-0_104080_2009-02-05_final
2009-02-05 10:31:14	ga_ls5t_ard_3-0-0_104081_2009-02-05_final
2009-02-06 09:33:14	ga_ls5t_ard_3-0-0_095075_2009-02-06_final
2009-02-06 09:33:38	ga_ls5t_ard_3-0-0_095076_2009-02-06_final
2009-02-06 09:34:02	ga_ls5t_ard_3-0-0_095077_2009-02-06_final
2009-02-06 09:34:26	ga_ls5t_ard_3-0-0_095078_2009-02-06_final
2009-02-06 09:34:50	ga_ls5t_ard_3-0-0_095079_2009-02-06_final
2009-02-06 09:35:14	ga_ls5t_ard_3-0-0_095080_2009-02-06_final
2009-02-06 09:35:38	ga_ls5t_ard_3-0-0_095081_2009-02-06_final
2009-02-06 09:36:02	ga_ls5t_ard_3-0-0_095082_2009-02-06_final
2009-02-06 09:36:26	ga_ls5t_ard_3-0-0_095083_2009-02-06_final
2009-02-06 09:36:50	ga_ls5t_ard_3-0-0_095084_2009-02-06_final
2009-02-06 09:37:14	ga_ls5t_ard_3-0-0_095085_2009-02-06_final
2009-02-06 09:37:38	ga_ls5t_ard_3-0-0_095086_2009-02-06_final
2009-02-06 09:38:01	ga_ls5t_ard_3-0-0_095087_2009-02-06_final
2009-02-06 11:08:56	ga_ls5t_ard_3-0-0_111067_2009-02-06_final
2009-02-06 11:09:20	ga_ls5t_ard_3-1-0_111068_2009-02-06_final
2009-02-06 11:11:20	ga_ls5t_ard_3-0-0_111073_2009-02-06_final
2009-02-06 11:11:44	ga_ls5t_ard_3-0-0_111074_2009-02-06_final
2009-02-06 11:12:07	ga_ls5t_ard_3-0-0_111075_2009-02-06_final
2009-02-06 11:12:31	ga_ls5t_ard_3-0-0_111076_2009-02-06_final
2009-02-06 11:12:55	ga_ls5t_ard_3-0-0_111077_2009-02-06_final
2009-02-06 11:13:19	ga_ls5t_ard_3-0-0_111078_2009-02-06_final
2009-02-06 11:13:43	ga_ls5t_ard_3-0-0_111079_2009-02-06_final
2009-02-06 11:14:07	ga_ls5t_ard_3-0-0_111080_2009-02-06_final
2009-02-06 11:14:31	ga_ls5t_ard_3-0-0_111081_2009-02-06_final
2009-02-06 11:14:55	ga_ls5t_ard_3-0-0_111082_2009-02-06_final
2009-02-06 11:15:19	ga_ls5t_ard_3-0-0_111083_2009-02-06_final
2009-02-06 11:15:43	ga_ls5t_ard_3-0-0_111084_2009-02-06_final
2009-02-07 10:13:44	ga_ls5t_ard_3-0-0_102068_2009-02-07_final
2009-02-07 10:14:08	ga_ls5t_ard_3-0-0_102069_2009-02-07_final
2009-02-07 10:14:32	ga_ls5t_ard_3-0-0_102070_2009-02-07_final
2009-02-07 10:14:56	ga_ls5t_ard_3-0-0_102071_2009-02-07_final
2009-02-07 10:15:44	ga_ls5t_ard_3-0-0_102073_2009-02-07_final
2009-02-07 10:16:08	ga_ls5t_ard_3-0-0_102074_2009-02-07_final
2009-02-07 10:16:31	ga_ls5t_ard_3-0-0_102075_2009-02-07_final
2009-02-07 10:16:56	ga_ls5t_ard_3-0-0_102076_2009-02-07_final
2009-02-07 10:17:19	ga_ls5t_ard_3-0-0_102077_2009-02-07_final
2009-02-07 10:17:44	ga_ls5t_ard_3-0-0_102078_2009-02-07_final
2009-02-07 10:18:07	ga_ls5t_ard_3-0-0_102079_2009-02-07_final
2009-02-07 10:18:31	ga_ls5t_ard_3-0-0_102080_2009-02-07_final
2009-02-07 10:18:55	ga_ls5t_ard_3-0-0_102081_2009-02-07_final
2009-02-07 10:19:19	ga_ls5t_ard_3-0-0_102082_2009-02-07_final
2009-02-08 09:17:44	ga_ls5t_ard_3-0-0_093067_2009-02-07_final
2009-02-08 09:21:20	ga_ls5t_ard_3-0-0_093076_2009-02-07_final
2009-02-08 09:21:43	ga_ls5t_ard_3-0-0_093077_2009-02-07_final
2009-02-08 09:22:08	ga_ls5t_ard_3-0-0_093078_2009-02-07_final
2009-02-08 09:22:32	ga_ls5t_ard_3-0-0_093079_2009-02-07_final
2009-02-08 09:22:55	ga_ls5t_ard_3-0-0_093080_2009-02-07_final
2009-02-08 09:23:19	ga_ls5t_ard_3-0-0_093081_2009-02-07_final
2009-02-08 09:23:43	ga_ls5t_ard_3-0-0_093082_2009-02-07_final
2009-02-08 09:24:07	ga_ls5t_ard_3-0-0_093083_2009-02-07_final
2009-02-08 09:24:31	ga_ls5t_ard_3-0-0_093084_2009-02-07_final
2009-02-08 09:24:55	ga_ls5t_ard_3-0-0_093085_2009-02-07_final
2009-02-22 09:30:27	ga_ls5t_ard_3-0-0_095067_2009-02-22_final
2009-02-22 09:33:38	ga_ls5t_ard_3-0-0_095075_2009-02-22_final
2009-02-22 09:34:02	ga_ls5t_ard_3-0-0_095076_2009-02-22_final
2009-02-22 09:34:26	ga_ls5t_ard_3-0-0_095077_2009-02-22_final

Return to ga_ls5t_ard_3 across February 2009 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

2009

February

All days