Search ga_ls5t_ard_3 across November 2010

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
2010-11-08 09:38:35	ga_ls5t_ard_3-0-0_095078_2010-11-08_final
2010-11-08 09:38:59	ga_ls5t_ard_3-0-0_095079_2010-11-08_final
2010-11-08 09:39:23	ga_ls5t_ard_3-0-0_095080_2010-11-08_final
2010-11-08 09:39:47	ga_ls5t_ard_3-0-0_095081_2010-11-08_final
2010-11-08 09:40:11	ga_ls5t_ard_3-0-0_095082_2010-11-08_final
2010-11-08 09:40:35	ga_ls5t_ard_3-0-0_095083_2010-11-08_final
2010-11-08 09:40:59	ga_ls5t_ard_3-0-0_095084_2010-11-08_final
2010-11-08 09:41:23	ga_ls5t_ard_3-0-0_095085_2010-11-08_final
2010-11-09 10:18:15	ga_ls5t_ard_3-0-0_102069_2010-11-09_final
2010-11-09 10:18:39	ga_ls5t_ard_3-0-0_102070_2010-11-09_final
2010-11-09 10:19:03	ga_ls5t_ard_3-0-0_102071_2010-11-09_final
2010-11-09 10:19:27	ga_ls5t_ard_3-0-0_102072_2010-11-09_final
2010-11-09 10:19:51	ga_ls5t_ard_3-0-0_102073_2010-11-09_final
2010-11-09 10:20:15	ga_ls5t_ard_3-0-0_102074_2010-11-09_final
2010-11-10 09:22:13	ga_ls5t_ard_3-1-0_093068_2010-11-09_final
2010-11-10 09:25:25	ga_ls5t_ard_3-0-0_093076_2010-11-09_final
2010-11-10 09:26:13	ga_ls5t_ard_3-0-0_093078_2010-11-09_final
2010-11-10 09:26:37	ga_ls5t_ard_3-0-0_093079_2010-11-09_final
2010-11-10 09:27:00	ga_ls5t_ard_3-0-0_093080_2010-11-09_final
2010-11-10 09:27:24	ga_ls5t_ard_3-0-0_093081_2010-11-09_final
2010-11-10 09:27:49	ga_ls5t_ard_3-0-0_093082_2010-11-09_final
2010-11-10 09:28:12	ga_ls5t_ard_3-0-0_093083_2010-11-09_final
2010-11-11 10:07:05	ga_ls5t_ard_3-0-0_100072_2010-11-11_final
2010-11-11 10:07:29	ga_ls5t_ard_3-0-0_100073_2010-11-11_final
2010-11-11 10:07:53	ga_ls5t_ard_3-0-0_100074_2010-11-11_final
2010-11-11 10:08:17	ga_ls5t_ard_3-0-0_100075_2010-11-11_final
2010-11-11 10:08:41	ga_ls5t_ard_3-0-0_100076_2010-11-11_final
2010-11-11 10:09:05	ga_ls5t_ard_3-0-0_100077_2010-11-11_final
2010-11-11 10:09:29	ga_ls5t_ard_3-0-0_100078_2010-11-11_final
2010-11-11 10:09:53	ga_ls5t_ard_3-0-0_100079_2010-11-11_final
2010-11-12 09:14:15	ga_ls5t_ard_3-0-0_091079_2010-11-11_final
2010-11-12 09:14:39	ga_ls5t_ard_3-0-0_091080_2010-11-11_final
2010-11-12 09:15:03	ga_ls5t_ard_3-0-0_091081_2010-11-11_final
2010-11-12 09:15:27	ga_ls5t_ard_3-0-0_091082_2010-11-11_final
2010-11-12 09:15:51	ga_ls5t_ard_3-0-0_091083_2010-11-11_final
2010-11-12 09:16:15	ga_ls5t_ard_3-0-0_091084_2010-11-11_final
2010-11-12 09:16:39	ga_ls5t_ard_3-0-0_091085_2010-11-11_final
2010-11-12 09:17:03	ga_ls5t_ard_3-0-0_091086_2010-11-11_final
2010-11-12 10:49:33	ga_ls5t_ard_3-0-0_107070_2010-11-12_final
2010-11-12 10:49:57	ga_ls5t_ard_3-0-0_107071_2010-11-12_final
2010-11-12 10:50:21	ga_ls5t_ard_3-0-0_107072_2010-11-12_final
2010-11-12 10:50:45	ga_ls5t_ard_3-0-0_107073_2010-11-12_final
2010-11-12 10:51:09	ga_ls5t_ard_3-0-0_107074_2010-11-12_final
2010-11-12 10:51:33	ga_ls5t_ard_3-0-0_107075_2010-11-12_final
2010-11-12 10:52:20	ga_ls5t_ard_3-0-0_107077_2010-11-12_final
2010-11-12 10:52:45	ga_ls5t_ard_3-0-0_107078_2010-11-12_final
2010-11-12 10:53:08	ga_ls5t_ard_3-0-0_107079_2010-11-12_final
2010-11-12 10:53:32	ga_ls5t_ard_3-0-0_107080_2010-11-12_final
2010-11-12 10:55:08	ga_ls5t_ard_3-0-0_107084_2010-11-12_final
2010-11-13 09:54:20	ga_ls5t_ard_3-0-0_098071_2010-11-13_final
2010-11-13 09:54:44	ga_ls5t_ard_3-0-0_098072_2010-11-13_final
2010-11-13 09:55:32	ga_ls5t_ard_3-0-0_098074_2010-11-13_final
2010-11-13 09:55:55	ga_ls5t_ard_3-0-0_098075_2010-11-13_final
2010-11-13 09:56:20	ga_ls5t_ard_3-0-0_098076_2010-11-13_final
2010-11-13 09:56:43	ga_ls5t_ard_3-0-0_098077_2010-11-13_final
2010-11-14 09:01:54	ga_ls5t_ard_3-0-0_089079_2010-11-13_final
2010-11-14 09:02:18	ga_ls5t_ard_3-0-0_089080_2010-11-13_final
2010-11-14 09:02:42	ga_ls5t_ard_3-0-0_089081_2010-11-13_final
2010-11-14 09:03:06	ga_ls5t_ard_3-0-0_089082_2010-11-13_final
2010-11-14 09:03:30	ga_ls5t_ard_3-0-0_089083_2010-11-13_final
2010-11-14 09:03:54	ga_ls5t_ard_3-0-0_089084_2010-11-13_final
2010-11-14 09:04:18	ga_ls5t_ard_3-0-0_089085_2010-11-13_final
2010-11-14 10:36:24	ga_ls5t_ard_3-0-0_105068_2010-11-14_final
2010-11-14 10:36:48	ga_ls5t_ard_3-0-0_105069_2010-11-14_final
2010-11-14 10:37:12	ga_ls5t_ard_3-0-0_105070_2010-11-14_final
2010-11-14 10:37:36	ga_ls5t_ard_3-0-0_105071_2010-11-14_final
2010-11-14 10:38:00	ga_ls5t_ard_3-0-0_105072_2010-11-14_final
2010-11-14 10:38:23	ga_ls5t_ard_3-0-0_105073_2010-11-14_final
2010-11-14 10:38:48	ga_ls5t_ard_3-0-0_105074_2010-11-14_final
2010-11-14 10:39:11	ga_ls5t_ard_3-0-0_105075_2010-11-14_final
2010-11-14 10:39:35	ga_ls5t_ard_3-0-0_105076_2010-11-14_final
2010-11-14 10:39:59	ga_ls5t_ard_3-0-0_105077_2010-11-14_final
2010-11-14 10:40:23	ga_ls5t_ard_3-0-0_105078_2010-11-14_final
2010-11-14 10:40:47	ga_ls5t_ard_3-0-0_105079_2010-11-14_final
2010-11-14 10:41:11	ga_ls5t_ard_3-0-0_105080_2010-11-14_final
2010-11-14 10:41:35	ga_ls5t_ard_3-0-0_105081_2010-11-14_final
2010-11-14 10:41:59	ga_ls5t_ard_3-0-0_105082_2010-11-14_final
2010-11-15 09:44:46	ga_ls5t_ard_3-0-0_096078_2010-11-15_final
2010-11-15 09:45:10	ga_ls5t_ard_3-0-0_096079_2010-11-15_final
2010-11-15 09:45:34	ga_ls5t_ard_3-0-0_096080_2010-11-15_final
2010-11-15 09:45:58	ga_ls5t_ard_3-0-0_096081_2010-11-15_final
2010-11-15 09:46:22	ga_ls5t_ard_3-0-0_096082_2010-11-15_final
2010-11-15 09:46:46	ga_ls5t_ard_3-0-0_096083_2010-11-15_final
2010-11-15 09:47:10	ga_ls5t_ard_3-0-0_096084_2010-11-15_final
2010-11-15 11:19:16	ga_ls5t_ard_3-0-0_112067_2010-11-15_final
2010-11-15 11:22:03	ga_ls5t_ard_3-0-0_112074_2010-11-15_final
2010-11-15 11:22:27	ga_ls5t_ard_3-0-0_112075_2010-11-15_final
2010-11-15 11:22:51	ga_ls5t_ard_3-0-0_112076_2010-11-15_final
2010-11-15 11:23:15	ga_ls5t_ard_3-0-0_112077_2010-11-15_final
2010-11-15 11:23:39	ga_ls5t_ard_3-0-0_112078_2010-11-15_final
2010-11-15 11:24:03	ga_ls5t_ard_3-0-0_112079_2010-11-15_final
2010-11-15 11:24:51	ga_ls5t_ard_3-0-0_112081_2010-11-15_final
2010-11-15 11:25:15	ga_ls5t_ard_3-0-0_112082_2010-11-15_final
2010-11-15 11:25:39	ga_ls5t_ard_3-0-0_112083_2010-11-15_final
2010-11-15 11:26:03	ga_ls5t_ard_3-0-0_112084_2010-11-15_final
2010-11-16 10:27:14	ga_ls5t_ard_3-0-0_103076_2010-11-16_final
2010-11-16 10:28:02	ga_ls5t_ard_3-0-0_103078_2010-11-16_final
2010-11-16 10:28:26	ga_ls5t_ard_3-0-0_103079_2010-11-16_final
2010-11-16 10:28:50	ga_ls5t_ard_3-0-0_103080_2010-11-16_final
2010-11-16 10:29:14	ga_ls5t_ard_3-0-0_103081_2010-11-16_final

Return to ga_ls5t_ard_3 across November 2010 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

2010

November

All days