Search ga_ls5t_ard_3 across October 2011

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
2011-10-01 09:41:59	ga_ls5t_ard_3-1-0_096075_2011-10-01_final
2011-10-01 09:42:23	ga_ls5t_ard_3-0-0_096076_2011-10-01_final
2011-10-01 09:42:47	ga_ls5t_ard_3-0-0_096077_2011-10-01_final
2011-10-01 09:43:11	ga_ls5t_ard_3-0-0_096078_2011-10-01_final
2011-10-01 09:43:35	ga_ls5t_ard_3-0-0_096079_2011-10-01_final
2011-10-01 09:43:59	ga_ls5t_ard_3-0-0_096080_2011-10-01_final
2011-10-01 09:44:23	ga_ls5t_ard_3-0-0_096081_2011-10-01_final
2011-10-12 09:28:05	ga_ls5t_ard_3-0-0_093087_2011-10-11_final
2011-10-12 09:28:29	ga_ls5t_ard_3-1-0_093088_2011-10-11_final
2011-10-15 09:50:59	ga_ls5t_ard_3-0-0_098067_2011-10-15_final
2011-10-15 09:51:23	ga_ls5t_ard_3-0-0_098068_2011-10-15_final
2011-10-16 09:00:08	ga_ls5t_ard_3-0-0_089079_2011-10-15_final
2011-10-16 09:00:32	ga_ls5t_ard_3-0-0_089080_2011-10-15_final
2011-10-16 09:00:56	ga_ls5t_ard_3-0-0_089081_2011-10-15_final
2011-10-16 09:01:20	ga_ls5t_ard_3-0-0_089082_2011-10-15_final
2011-10-16 09:01:44	ga_ls5t_ard_3-0-0_089083_2011-10-15_final
2011-10-16 09:02:08	ga_ls5t_ard_3-0-0_089084_2011-10-15_final
2011-10-16 09:02:32	ga_ls5t_ard_3-0-0_089085_2011-10-15_final
2011-10-17 09:38:36	ga_ls5t_ard_3-0-0_096067_2011-10-17_final
2011-10-17 09:39:48	ga_ls5t_ard_3-0-0_096070_2011-10-17_final
2011-10-17 09:40:12	ga_ls5t_ard_3-0-0_096071_2011-10-17_final
2011-10-17 09:40:36	ga_ls5t_ard_3-0-0_096072_2011-10-17_final
2011-10-17 09:42:12	ga_ls5t_ard_3-0-0_096076_2011-10-17_final
2011-10-17 09:42:36	ga_ls5t_ard_3-0-0_096077_2011-10-17_final
2011-10-17 09:43:00	ga_ls5t_ard_3-0-0_096078_2011-10-17_final
2011-10-17 09:43:24	ga_ls5t_ard_3-0-0_096079_2011-10-17_final
2011-10-17 09:43:48	ga_ls5t_ard_3-0-0_096080_2011-10-17_final
2011-10-17 09:44:12	ga_ls5t_ard_3-0-0_096081_2011-10-17_final
2011-10-17 09:44:36	ga_ls5t_ard_3-0-0_096082_2011-10-17_final
2011-10-17 09:45:00	ga_ls5t_ard_3-0-0_096083_2011-10-17_final
2011-10-17 09:45:24	ga_ls5t_ard_3-0-0_096084_2011-10-17_final
2011-10-17 09:45:48	ga_ls5t_ard_3-0-0_096085_2011-10-17_final
2011-10-17 09:46:12	ga_ls5t_ard_3-0-0_096086_2011-10-17_final
2011-10-21 10:53:56	ga_ls5t_ard_3-0-0_108070_2011-10-21_final
2011-10-21 10:54:20	ga_ls5t_ard_3-0-0_108071_2011-10-21_final
2011-10-21 10:54:44	ga_ls5t_ard_3-0-0_108072_2011-10-21_final
2011-10-22 09:57:06	ga_ls5t_ard_3-0-0_099067_2011-10-22_final
2011-10-22 09:57:30	ga_ls5t_ard_3-1-0_099068_2011-10-22_final
2011-10-22 09:57:54	ga_ls5t_ard_3-0-0_099069_2011-10-22_final
2011-10-22 09:58:18	ga_ls5t_ard_3-0-0_099070_2011-10-22_final
2011-10-22 09:58:42	ga_ls5t_ard_3-0-0_099071_2011-10-22_final
2011-10-22 09:59:06	ga_ls5t_ard_3-0-0_099072_2011-10-22_final
2011-10-22 09:59:30	ga_ls5t_ard_3-0-0_099073_2011-10-22_final
2011-10-22 09:59:54	ga_ls5t_ard_3-1-0_099074_2011-10-22_final
2011-10-22 10:00:18	ga_ls5t_ard_3-0-0_099075_2011-10-22_final
2011-10-22 10:00:42	ga_ls5t_ard_3-0-0_099076_2011-10-22_final
2011-10-22 10:01:06	ga_ls5t_ard_3-0-0_099077_2011-10-22_final
2011-10-22 10:01:30	ga_ls5t_ard_3-0-0_099078_2011-10-22_final
2011-10-22 10:01:54	ga_ls5t_ard_3-0-0_099079_2011-10-22_final
2011-10-22 10:02:18	ga_ls5t_ard_3-0-0_099080_2011-10-22_final
2011-10-22 10:02:41	ga_ls5t_ard_3-0-0_099081_2011-10-22_final
2011-10-22 10:03:06	ga_ls5t_ard_3-0-0_099082_2011-10-22_final
2011-10-22 10:03:30	ga_ls5t_ard_3-0-0_099083_2011-10-22_final
2011-10-26 09:32:20	ga_ls5t_ard_3-0-0_095067_2011-10-26_final
2011-10-26 09:34:20	ga_ls5t_ard_3-0-0_095072_2011-10-26_final
2011-10-26 09:34:44	ga_ls5t_ard_3-0-0_095073_2011-10-26_final
2011-10-26 09:35:08	ga_ls5t_ard_3-0-0_095074_2011-10-26_final
2011-10-26 09:35:32	ga_ls5t_ard_3-0-0_095075_2011-10-26_final
2011-10-26 09:35:56	ga_ls5t_ard_3-0-0_095076_2011-10-26_final
2011-10-26 09:36:20	ga_ls5t_ard_3-0-0_095077_2011-10-26_final
2011-10-26 09:36:44	ga_ls5t_ard_3-0-0_095078_2011-10-26_final
2011-10-26 09:37:08	ga_ls5t_ard_3-0-0_095079_2011-10-26_final
2011-10-26 09:37:31	ga_ls5t_ard_3-0-0_095080_2011-10-26_final
2011-10-26 09:37:55	ga_ls5t_ard_3-0-0_095081_2011-10-26_final
2011-10-26 09:38:19	ga_ls5t_ard_3-0-0_095082_2011-10-26_final
2011-10-26 09:38:43	ga_ls5t_ard_3-0-0_095083_2011-10-26_final
2011-10-26 09:39:07	ga_ls5t_ard_3-0-0_095084_2011-10-26_final
2011-10-26 09:39:31	ga_ls5t_ard_3-0-0_095085_2011-10-26_final
2011-10-26 09:39:55	ga_ls5t_ard_3-0-0_095086_2011-10-26_final
2011-10-28 11:00:01	ga_ls5t_ard_3-0-0_109070_2011-10-28_final
2011-10-28 11:00:25	ga_ls5t_ard_3-0-0_109071_2011-10-28_final
2011-10-28 11:00:49	ga_ls5t_ard_3-0-0_109072_2011-10-28_final
2011-10-28 11:01:13	ga_ls5t_ard_3-0-0_109073_2011-10-28_final
2011-10-28 11:01:37	ga_ls5t_ard_3-0-0_109074_2011-10-28_final
2011-10-28 11:02:01	ga_ls5t_ard_3-0-0_109075_2011-10-28_final
2011-10-28 11:02:25	ga_ls5t_ard_3-0-0_109076_2011-10-28_final
2011-10-29 10:05:11	ga_ls5t_ard_3-0-0_100072_2011-10-29_final
2011-10-29 10:05:35	ga_ls5t_ard_3-0-0_100073_2011-10-29_final
2011-10-29 10:05:59	ga_ls5t_ard_3-0-0_100074_2011-10-29_final
2011-10-30 10:47:38	ga_ls5t_ard_3-0-0_107070_2011-10-30_final
2011-10-30 10:48:02	ga_ls5t_ard_3-0-0_107071_2011-10-30_final
2011-10-30 10:48:26	ga_ls5t_ard_3-0-0_107072_2011-10-30_final
2011-10-31 09:50:48	ga_ls5t_ard_3-0-0_098067_2011-10-31_final
2011-10-31 09:51:12	ga_ls5t_ard_3-0-0_098068_2011-10-31_final
2011-10-31 09:51:36	ga_ls5t_ard_3-0-0_098069_2011-10-31_final
2011-10-31 09:51:59	ga_ls5t_ard_3-0-0_098070_2011-10-31_final
2011-10-31 09:52:23	ga_ls5t_ard_3-0-0_098071_2011-10-31_final
2011-10-31 09:52:47	ga_ls5t_ard_3-0-0_098072_2011-10-31_final
2011-10-31 09:53:11	ga_ls5t_ard_3-0-0_098073_2011-10-31_final
2011-10-31 09:53:35	ga_ls5t_ard_3-0-0_098074_2011-10-31_final
2011-10-31 09:53:59	ga_ls5t_ard_3-0-0_098075_2011-10-31_final
2011-10-31 09:54:23	ga_ls5t_ard_3-0-0_098076_2011-10-31_final
2011-10-31 09:54:47	ga_ls5t_ard_3-0-0_098077_2011-10-31_final
2011-10-31 09:55:11	ga_ls5t_ard_3-0-0_098078_2011-10-31_final
2011-10-31 09:55:35	ga_ls5t_ard_3-0-0_098079_2011-10-31_final
2011-10-31 09:55:59	ga_ls5t_ard_3-0-0_098080_2011-10-31_final
2011-10-31 09:56:47	ga_ls5t_ard_3-0-0_098082_2011-10-31_final
2011-10-31 09:57:11	ga_ls5t_ard_3-0-0_098083_2011-10-31_final
2011-10-31 09:57:35	ga_ls5t_ard_3-0-0_098084_2011-10-31_final
2011-10-31 09:57:59	ga_ls5t_ard_3-0-0_098085_2011-10-31_final

Return to ga_ls5t_ard_3 across October 2011 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

2011

October

All days