Search ga_ls5t_ard_3 across October 2008

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
2008-10-05 09:10:54	ga_ls5t_ard_3-0-0_091084_2008-10-04_final
2008-10-05 09:11:18	ga_ls5t_ard_3-0-0_091085_2008-10-04_final
2008-10-05 09:11:42	ga_ls5t_ard_3-0-0_091086_2008-10-04_final
2008-10-05 09:12:06	ga_ls5t_ard_3-0-0_091087_2008-10-04_final
2008-10-05 09:12:30	ga_ls5t_ard_3-0-0_091088_2008-10-04_final
2008-10-05 10:44:12	ga_ls5t_ard_3-0-0_107070_2008-10-05_final
2008-10-05 10:44:36	ga_ls5t_ard_3-0-0_107071_2008-10-05_final
2008-10-05 10:45:00	ga_ls5t_ard_3-0-0_107072_2008-10-05_final
2008-10-05 10:45:24	ga_ls5t_ard_3-0-0_107073_2008-10-05_final
2008-10-05 10:45:48	ga_ls5t_ard_3-0-0_107074_2008-10-05_final
2008-10-05 10:46:11	ga_ls5t_ard_3-0-0_107075_2008-10-05_final
2008-10-05 10:46:35	ga_ls5t_ard_3-0-0_107076_2008-10-05_final
2008-10-05 10:46:59	ga_ls5t_ard_3-0-0_107077_2008-10-05_final
2008-10-05 10:47:23	ga_ls5t_ard_3-0-0_107078_2008-10-05_final
2008-10-05 10:47:47	ga_ls5t_ard_3-0-0_107079_2008-10-05_final
2008-10-05 10:48:11	ga_ls5t_ard_3-0-0_107080_2008-10-05_final
2008-10-05 10:48:35	ga_ls5t_ard_3-0-0_107081_2008-10-05_final
2008-10-05 10:49:23	ga_ls5t_ard_3-0-0_107083_2008-10-05_final
2008-10-06 09:47:21	ga_ls5t_ard_3-0-0_098067_2008-10-06_final
2008-10-06 09:47:45	ga_ls5t_ard_3-0-0_098068_2008-10-06_final
2008-10-06 09:48:09	ga_ls5t_ard_3-0-0_098069_2008-10-06_final
2008-10-06 09:48:33	ga_ls5t_ard_3-0-0_098070_2008-10-06_final
2008-10-06 09:48:57	ga_ls5t_ard_3-0-0_098071_2008-10-06_final
2008-10-06 09:49:21	ga_ls5t_ard_3-0-0_098072_2008-10-06_final
2008-10-06 09:49:44	ga_ls5t_ard_3-0-0_098073_2008-10-06_final
2008-10-06 09:50:08	ga_ls5t_ard_3-0-0_098074_2008-10-06_final
2008-10-06 09:50:32	ga_ls5t_ard_3-0-0_098075_2008-10-06_final
2008-10-06 09:50:56	ga_ls5t_ard_3-0-0_098076_2008-10-06_final
2008-10-06 09:51:20	ga_ls5t_ard_3-0-0_098077_2008-10-06_final
2008-10-06 09:51:44	ga_ls5t_ard_3-0-0_098078_2008-10-06_final
2008-10-06 09:52:08	ga_ls5t_ard_3-0-0_098079_2008-10-06_final
2008-10-06 09:52:32	ga_ls5t_ard_3-0-0_098080_2008-10-06_final
2008-10-06 09:52:56	ga_ls5t_ard_3-0-0_098081_2008-10-06_final
2008-10-06 09:53:20	ga_ls5t_ard_3-0-0_098082_2008-10-06_final
2008-10-06 09:53:44	ga_ls5t_ard_3-0-0_098083_2008-10-06_final
2008-10-06 09:54:32	ga_ls5t_ard_3-0-0_098085_2008-10-06_final
2008-10-06 11:29:01	ga_ls5t_ard_3-0-0_114074_2008-10-06_final
2008-10-06 11:29:25	ga_ls5t_ard_3-0-0_114075_2008-10-06_final
2008-10-06 11:29:49	ga_ls5t_ard_3-0-0_114076_2008-10-06_final
2008-10-07 08:55:41	ga_ls5t_ard_3-1-0_089077_2008-10-06_final
2008-10-07 08:56:05	ga_ls5t_ard_3-0-0_089078_2008-10-06_final
2008-10-07 08:56:29	ga_ls5t_ard_3-0-0_089079_2008-10-06_final
2008-10-07 08:56:53	ga_ls5t_ard_3-0-0_089080_2008-10-06_final
2008-10-07 08:57:16	ga_ls5t_ard_3-0-0_089081_2008-10-06_final
2008-10-07 08:57:41	ga_ls5t_ard_3-0-0_089082_2008-10-06_final
2008-10-07 08:58:04	ga_ls5t_ard_3-0-0_089083_2008-10-06_final
2008-10-07 08:58:28	ga_ls5t_ard_3-0-0_089084_2008-10-06_final
2008-10-07 08:58:52	ga_ls5t_ard_3-0-0_089085_2008-10-06_final
2008-10-07 08:59:16	ga_ls5t_ard_3-0-0_089086_2008-10-06_final
2008-10-07 09:00:28	ga_ls5t_ard_3-0-0_089089_2008-10-06_final
2008-10-07 10:30:59	ga_ls5t_ard_3-0-0_105068_2008-10-07_final
2008-10-07 10:31:23	ga_ls5t_ard_3-0-0_105069_2008-10-07_final
2008-10-07 10:31:46	ga_ls5t_ard_3-0-0_105070_2008-10-07_final
2008-10-07 10:32:10	ga_ls5t_ard_3-0-0_105071_2008-10-07_final
2008-10-07 10:32:34	ga_ls5t_ard_3-0-0_105072_2008-10-07_final
2008-10-07 10:34:34	ga_ls5t_ard_3-0-0_105077_2008-10-07_final
2008-10-07 10:34:58	ga_ls5t_ard_3-0-0_105078_2008-10-07_final
2008-10-07 10:35:22	ga_ls5t_ard_3-0-0_105079_2008-10-07_final
2008-10-07 10:35:45	ga_ls5t_ard_3-0-0_105080_2008-10-07_final
2008-10-08 09:34:55	ga_ls5t_ard_3-0-0_096067_2008-10-08_final
2008-10-08 09:36:07	ga_ls5t_ard_3-0-0_096070_2008-10-08_final
2008-10-08 09:36:31	ga_ls5t_ard_3-0-0_096071_2008-10-08_final
2008-10-08 09:36:55	ga_ls5t_ard_3-0-0_096072_2008-10-08_final
2008-10-08 09:37:19	ga_ls5t_ard_3-0-0_096073_2008-10-08_final
2008-10-08 09:37:43	ga_ls5t_ard_3-0-0_096074_2008-10-08_final
2008-10-08 09:38:07	ga_ls5t_ard_3-0-0_096075_2008-10-08_final
2008-10-08 09:38:31	ga_ls5t_ard_3-0-0_096076_2008-10-08_final
2008-10-08 09:38:55	ga_ls5t_ard_3-0-0_096077_2008-10-08_final
2008-10-08 09:39:19	ga_ls5t_ard_3-0-0_096078_2008-10-08_final
2008-10-08 09:39:42	ga_ls5t_ard_3-0-0_096079_2008-10-08_final
2008-10-08 09:40:06	ga_ls5t_ard_3-0-0_096080_2008-10-08_final
2008-10-08 09:40:30	ga_ls5t_ard_3-0-0_096081_2008-10-08_final
2008-10-08 09:40:54	ga_ls5t_ard_3-0-0_096082_2008-10-08_final
2008-10-08 09:41:18	ga_ls5t_ard_3-0-0_096083_2008-10-08_final
2008-10-08 11:16:36	ga_ls5t_ard_3-0-0_112074_2008-10-08_final
2008-10-08 11:16:59	ga_ls5t_ard_3-0-0_112075_2008-10-08_final
2008-10-08 11:17:24	ga_ls5t_ard_3-0-0_112076_2008-10-08_final
2008-10-08 11:17:47	ga_ls5t_ard_3-0-0_112077_2008-10-08_final
2008-10-08 11:18:11	ga_ls5t_ard_3-0-0_112078_2008-10-08_final
2008-10-08 11:18:35	ga_ls5t_ard_3-0-0_112079_2008-10-08_final
2008-10-08 11:18:59	ga_ls5t_ard_3-0-0_112080_2008-10-08_final
2008-10-08 11:19:23	ga_ls5t_ard_3-0-0_112081_2008-10-08_final
2008-10-08 11:19:47	ga_ls5t_ard_3-0-0_112082_2008-10-08_final
2008-10-08 11:20:11	ga_ls5t_ard_3-0-0_112083_2008-10-08_final
2008-10-08 11:20:35	ga_ls5t_ard_3-0-0_112084_2008-10-08_final
2008-10-30 09:01:05	ga_ls5t_ard_3-0-0_090077_2008-10-29_final
2008-10-30 09:01:29	ga_ls5t_ard_3-0-0_090078_2008-10-29_final
2008-10-30 09:01:53	ga_ls5t_ard_3-0-0_090079_2008-10-29_final
2008-10-30 09:02:17	ga_ls5t_ard_3-0-0_090080_2008-10-29_final
2008-10-30 09:02:41	ga_ls5t_ard_3-0-0_090081_2008-10-29_final
2008-10-30 09:03:05	ga_ls5t_ard_3-0-0_090082_2008-10-29_final
2008-10-30 09:03:29	ga_ls5t_ard_3-0-0_090083_2008-10-29_final
2008-10-30 09:03:53	ga_ls5t_ard_3-0-0_090084_2008-10-29_final
2008-10-30 09:04:17	ga_ls5t_ard_3-0-0_090085_2008-10-29_final
2008-10-30 09:04:41	ga_ls5t_ard_3-0-0_090086_2008-10-29_final
2008-10-31 09:41:31	ga_ls5t_ard_3-0-0_097070_2008-10-31_final
2008-10-31 09:41:55	ga_ls5t_ard_3-0-0_097071_2008-10-31_final
2008-10-31 09:42:19	ga_ls5t_ard_3-0-0_097072_2008-10-31_final
2008-10-31 09:42:43	ga_ls5t_ard_3-0-0_097073_2008-10-31_final
2008-10-31 09:43:07	ga_ls5t_ard_3-0-0_097074_2008-10-31_final

Return to ga_ls5t_ard_3 across October 2008 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

2008

October

All days