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
2011-10-01 09:45:59	ga_ls5t_ard_3-0-0_096085_2011-10-01_final
2011-10-01 09:46:23	ga_ls5t_ard_3-0-0_096086_2011-10-01_final
2011-10-01 11:22:04	ga_ls5t_ard_3-0-0_112078_2011-10-01_final
2011-10-01 11:22:28	ga_ls5t_ard_3-0-0_112079_2011-10-01_final
2011-10-01 11:22:52	ga_ls5t_ard_3-0-0_112080_2011-10-01_final
2011-10-01 11:23:16	ga_ls5t_ard_3-0-0_112081_2011-10-01_final
2011-10-01 11:23:40	ga_ls5t_ard_3-0-0_112082_2011-10-01_final
2011-10-01 11:24:04	ga_ls5t_ard_3-0-0_112083_2011-10-01_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
2011-10-15 09:51:47	ga_ls5t_ard_3-0-0_098069_2011-10-15_final
2011-10-15 09:52:11	ga_ls5t_ard_3-0-0_098070_2011-10-15_final
2011-10-15 09:52:34	ga_ls5t_ard_3-0-0_098071_2011-10-15_final
2011-10-15 09:52:59	ga_ls5t_ard_3-0-0_098072_2011-10-15_final
2011-10-15 09:53:22	ga_ls5t_ard_3-0-0_098073_2011-10-15_final
2011-10-15 09:53:46	ga_ls5t_ard_3-0-0_098074_2011-10-15_final
2011-10-15 09:54:10	ga_ls5t_ard_3-0-0_098075_2011-10-15_final
2011-10-15 09:54:34	ga_ls5t_ard_3-0-0_098076_2011-10-15_final
2011-10-15 11:32:39	ga_ls5t_ard_3-0-0_114074_2011-10-15_final
2011-10-15 11:33:03	ga_ls5t_ard_3-0-0_114075_2011-10-15_final
2011-10-15 11:33:27	ga_ls5t_ard_3-0-0_114076_2011-10-15_final
2011-10-15 11:33:51	ga_ls5t_ard_3-0-0_114077_2011-10-15_final
2011-10-15 11:34:15	ga_ls5t_ard_3-0-0_114078_2011-10-15_final
2011-10-15 11:34:39	ga_ls5t_ard_3-0-0_114079_2011-10-15_final
2011-10-15 11:35:03	ga_ls5t_ard_3-0-0_114080_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
2011-10-16 10:34:38	ga_ls5t_ard_3-0-0_105068_2011-10-16_final
2011-10-16 10:35:02	ga_ls5t_ard_3-0-0_105069_2011-10-16_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
2011-10-18 10:25:03	ga_ls5t_ard_3-0-0_103075_2011-10-18_final
2011-10-18 10:25:27	ga_ls5t_ard_3-0-0_103076_2011-10-18_final
2011-10-18 10:25:51	ga_ls5t_ard_3-0-0_103077_2011-10-18_final
2011-10-18 10:26:15	ga_ls5t_ard_3-0-0_103078_2011-10-18_final
2011-10-18 10:26:39	ga_ls5t_ard_3-0-0_103079_2011-10-18_final
2011-10-18 10:27:03	ga_ls5t_ard_3-0-0_103080_2011-10-18_final
2011-10-18 10:27:27	ga_ls5t_ard_3-0-0_103081_2011-10-18_final
2011-10-19 09:26:14	ga_ls5t_ard_3-0-0_094067_2011-10-18_final
2011-10-19 09:29:49	ga_ls5t_ard_3-1-0_094076_2011-10-18_final
2011-10-19 09:30:13	ga_ls5t_ard_3-0-0_094077_2011-10-19_final
2011-10-19 09:30:37	ga_ls5t_ard_3-0-0_094078_2011-10-19_final
2011-10-19 09:31:01	ga_ls5t_ard_3-0-0_094079_2011-10-19_final
2011-10-19 09:31:25	ga_ls5t_ard_3-0-0_094080_2011-10-19_final
2011-10-19 09:31:49	ga_ls5t_ard_3-1-0_094081_2011-10-19_final
2011-10-19 09:32:13	ga_ls5t_ard_3-0-0_094082_2011-10-19_final
2011-10-19 09:32:37	ga_ls5t_ard_3-0-0_094083_2011-10-19_final
2011-10-19 09:33:01	ga_ls5t_ard_3-0-0_094084_2011-10-19_final
2011-10-19 09:33:25	ga_ls5t_ard_3-0-0_094085_2011-10-19_final
2011-10-19 09:33:49	ga_ls5t_ard_3-0-0_094086_2011-10-19_final
2011-10-19 09:34:13	ga_ls5t_ard_3-0-0_094087_2011-10-19_final
2011-10-19 11:05:07	ga_ls5t_ard_3-0-0_110067_2011-10-19_final
2011-10-19 11:06:19	ga_ls5t_ard_3-0-0_110070_2011-10-19_final
2011-10-19 11:06:43	ga_ls5t_ard_3-0-0_110071_2011-10-19_final
2011-10-19 11:07:07	ga_ls5t_ard_3-0-0_110072_2011-10-19_final
2011-10-19 11:07:31	ga_ls5t_ard_3-0-0_110073_2011-10-19_final
2011-10-19 11:07:55	ga_ls5t_ard_3-0-0_110074_2011-10-19_final
2011-10-19 11:08:18	ga_ls5t_ard_3-0-0_110075_2011-10-19_final
2011-10-19 11:08:42	ga_ls5t_ard_3-0-0_110076_2011-10-19_final
2011-10-19 11:09:06	ga_ls5t_ard_3-0-0_110077_2011-10-19_final
2011-10-19 11:09:30	ga_ls5t_ard_3-0-0_110078_2011-10-19_final
2011-10-19 11:09:54	ga_ls5t_ard_3-0-0_110079_2011-10-19_final
2011-10-19 11:10:18	ga_ls5t_ard_3-0-0_110080_2011-10-19_final
2011-10-19 11:10:42	ga_ls5t_ard_3-0-0_110081_2011-10-19_final
2011-10-19 11:11:30	ga_ls5t_ard_3-0-0_110083_2011-10-19_final
2011-10-19 11:11:54	ga_ls5t_ard_3-0-0_110084_2011-10-19_final
2011-10-20 10:11:05	ga_ls5t_ard_3-0-0_101071_2011-10-20_final
2011-10-20 10:11:29	ga_ls5t_ard_3-0-0_101072_2011-10-20_final
2011-10-20 10:11:53	ga_ls5t_ard_3-0-0_101073_2011-10-20_final
2011-10-20 10:12:17	ga_ls5t_ard_3-0-0_101074_2011-10-20_final
2011-10-20 10:12:41	ga_ls5t_ard_3-0-0_101075_2011-10-20_final
2011-10-20 10:13:05	ga_ls5t_ard_3-0-0_101076_2011-10-20_final
2011-10-20 10:13:29	ga_ls5t_ard_3-0-0_101077_2011-10-20_final
2011-10-20 10:13:53	ga_ls5t_ard_3-0-0_101078_2011-10-20_final
2011-10-21 09:14:15	ga_ls5t_ard_3-1-0_092068_2011-10-20_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2011

October

All days