Search ga_ls5t_ard_3 across October 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
2009-10-23 10:07:05	ga_ls5t_ard_3-0-0_100071_2009-10-23_final
2009-10-23 10:07:29	ga_ls5t_ard_3-0-0_100072_2009-10-23_final
2009-10-23 10:07:53	ga_ls5t_ard_3-0-0_100073_2009-10-23_final
2009-10-23 10:08:17	ga_ls5t_ard_3-0-0_100074_2009-10-23_final
2009-10-23 10:08:40	ga_ls5t_ard_3-0-0_100075_2009-10-23_final
2009-10-23 10:09:05	ga_ls5t_ard_3-0-0_100076_2009-10-23_final
2009-10-23 10:09:28	ga_ls5t_ard_3-0-0_100077_2009-10-23_final
2009-10-23 10:09:52	ga_ls5t_ard_3-0-0_100078_2009-10-23_final
2009-10-23 10:10:16	ga_ls5t_ard_3-0-0_100079_2009-10-23_final
2009-10-23 10:10:40	ga_ls5t_ard_3-0-0_100080_2009-10-23_final
2009-10-23 10:11:04	ga_ls5t_ard_3-0-0_100081_2009-10-23_final
2009-10-23 10:11:28	ga_ls5t_ard_3-0-0_100082_2009-10-23_final
2009-10-23 10:11:52	ga_ls5t_ard_3-0-0_100083_2009-10-23_final
2009-10-23 10:12:16	ga_ls5t_ard_3-0-0_100084_2009-10-23_final
2009-10-24 09:13:28	ga_ls5t_ard_3-0-0_091076_2009-10-23_final
2009-10-24 09:13:52	ga_ls5t_ard_3-0-0_091077_2009-10-23_final
2009-10-24 09:14:16	ga_ls5t_ard_3-0-0_091078_2009-10-23_final
2009-10-24 09:14:40	ga_ls5t_ard_3-0-0_091079_2009-10-23_final
2009-10-24 09:15:03	ga_ls5t_ard_3-0-0_091080_2009-10-23_final
2009-10-24 09:15:27	ga_ls5t_ard_3-0-0_091081_2009-10-23_final
2009-10-24 09:15:52	ga_ls5t_ard_3-0-0_091082_2009-10-23_final
2009-10-24 09:16:15	ga_ls5t_ard_3-0-0_091083_2009-10-23_final
2009-10-24 09:16:39	ga_ls5t_ard_3-0-0_091084_2009-10-23_final
2009-10-24 09:17:03	ga_ls5t_ard_3-0-0_091085_2009-10-23_final
2009-10-24 09:17:27	ga_ls5t_ard_3-0-0_091086_2009-10-23_final
2009-10-24 09:17:51	ga_ls5t_ard_3-0-0_091087_2009-10-23_final
2009-10-24 09:18:15	ga_ls5t_ard_3-0-0_091088_2009-10-23_final
2009-10-24 09:18:39	ga_ls5t_ard_3-0-0_091089_2009-10-23_final
2009-10-24 10:49:57	ga_ls5t_ard_3-0-0_107070_2009-10-24_final
2009-10-24 10:50:21	ga_ls5t_ard_3-0-0_107071_2009-10-24_final
2009-10-24 10:50:45	ga_ls5t_ard_3-0-0_107072_2009-10-24_final
2009-10-24 10:51:09	ga_ls5t_ard_3-0-0_107073_2009-10-24_final
2009-10-24 10:51:33	ga_ls5t_ard_3-0-0_107074_2009-10-24_final
2009-10-24 10:51:57	ga_ls5t_ard_3-0-0_107075_2009-10-24_final
2009-10-24 10:52:21	ga_ls5t_ard_3-0-0_107076_2009-10-24_final
2009-10-24 10:52:45	ga_ls5t_ard_3-0-0_107077_2009-10-24_final
2009-10-24 10:53:09	ga_ls5t_ard_3-0-0_107078_2009-10-24_final
2009-10-24 10:53:33	ga_ls5t_ard_3-0-0_107079_2009-10-24_final
2009-10-24 10:53:57	ga_ls5t_ard_3-0-0_107080_2009-10-24_final
2009-10-24 10:54:20	ga_ls5t_ard_3-0-0_107081_2009-10-24_final
2009-10-25 09:53:08	ga_ls5t_ard_3-0-0_098067_2009-10-25_final
2009-10-25 09:53:32	ga_ls5t_ard_3-0-0_098068_2009-10-25_final
2009-10-25 09:53:57	ga_ls5t_ard_3-0-0_098069_2009-10-25_final
2009-10-25 09:54:20	ga_ls5t_ard_3-0-0_098070_2009-10-25_final
2009-10-25 09:54:44	ga_ls5t_ard_3-0-0_098071_2009-10-25_final
2009-10-25 09:55:08	ga_ls5t_ard_3-0-0_098072_2009-10-25_final
2009-10-25 09:55:32	ga_ls5t_ard_3-0-0_098073_2009-10-25_final
2009-10-25 09:55:56	ga_ls5t_ard_3-0-0_098074_2009-10-25_final
2009-10-25 09:56:20	ga_ls5t_ard_3-0-0_098075_2009-10-25_final
2009-10-25 09:56:44	ga_ls5t_ard_3-0-0_098076_2009-10-25_final
2009-10-25 09:57:08	ga_ls5t_ard_3-0-0_098077_2009-10-25_final
2009-10-25 09:57:32	ga_ls5t_ard_3-0-0_098078_2009-10-25_final
2009-10-25 09:59:32	ga_ls5t_ard_3-0-0_098083_2009-10-25_final
2009-10-25 11:32:01	ga_ls5t_ard_3-0-0_114067_2009-10-25_final
2009-10-25 11:34:49	ga_ls5t_ard_3-0-0_114074_2009-10-25_final
2009-10-25 11:35:13	ga_ls5t_ard_3-0-0_114075_2009-10-25_final
2009-10-25 11:35:37	ga_ls5t_ard_3-0-0_114076_2009-10-25_final
2009-10-25 11:36:01	ga_ls5t_ard_3-0-0_114077_2009-10-25_final
2009-10-25 11:36:25	ga_ls5t_ard_3-0-0_114078_2009-10-25_final
2009-10-25 11:36:49	ga_ls5t_ard_3-0-0_114079_2009-10-25_final
2009-10-25 11:37:13	ga_ls5t_ard_3-0-0_114080_2009-10-25_final
2009-10-26 09:01:55	ga_ls5t_ard_3-0-0_089078_2009-10-25_final
2009-10-26 09:02:19	ga_ls5t_ard_3-0-0_089079_2009-10-25_final
2009-10-26 09:02:43	ga_ls5t_ard_3-0-0_089080_2009-10-25_final
2009-10-26 09:06:19	ga_ls5t_ard_3-0-0_089089_2009-10-25_final
2009-10-26 10:36:49	ga_ls5t_ard_3-0-0_105068_2009-10-26_final
2009-10-26 10:37:13	ga_ls5t_ard_3-0-0_105069_2009-10-26_final
2009-10-26 10:37:36	ga_ls5t_ard_3-0-0_105070_2009-10-26_final
2009-10-26 10:38:00	ga_ls5t_ard_3-0-0_105071_2009-10-26_final
2009-10-26 10:38:25	ga_ls5t_ard_3-0-0_105072_2009-10-26_final
2009-10-26 10:38:48	ga_ls5t_ard_3-0-0_105073_2009-10-26_final
2009-10-26 10:39:12	ga_ls5t_ard_3-0-0_105074_2009-10-26_final
2009-10-26 10:39:36	ga_ls5t_ard_3-0-0_105075_2009-10-26_final
2009-10-26 10:40:00	ga_ls5t_ard_3-0-0_105076_2009-10-26_final
2009-10-26 10:40:24	ga_ls5t_ard_3-0-0_105077_2009-10-26_final
2009-10-26 10:40:48	ga_ls5t_ard_3-0-0_105078_2009-10-26_final
2009-10-26 10:41:12	ga_ls5t_ard_3-0-0_105079_2009-10-26_final
2009-10-26 10:41:36	ga_ls5t_ard_3-0-0_105080_2009-10-26_final
2009-10-26 10:42:00	ga_ls5t_ard_3-0-0_105081_2009-10-26_final
2009-10-26 10:42:24	ga_ls5t_ard_3-0-0_105082_2009-10-26_final
2009-10-27 09:40:48	ga_ls5t_ard_3-0-0_096067_2009-10-27_final
2009-10-30 10:13:19	ga_ls5t_ard_3-0-0_101071_2009-10-30_final
2009-10-30 10:13:43	ga_ls5t_ard_3-0-0_101072_2009-10-30_final
2009-10-30 10:14:07	ga_ls5t_ard_3-0-0_101073_2009-10-30_final
2009-10-30 10:14:31	ga_ls5t_ard_3-0-0_101074_2009-10-30_final
2009-10-30 10:14:55	ga_ls5t_ard_3-0-0_101075_2009-10-30_final
2009-10-31 09:19:18	ga_ls5t_ard_3-0-0_092075_2009-10-30_final
2009-10-31 09:19:42	ga_ls5t_ard_3-0-0_092076_2009-10-30_final
2009-10-31 09:20:06	ga_ls5t_ard_3-0-0_092077_2009-10-30_final
2009-10-31 09:20:30	ga_ls5t_ard_3-0-0_092078_2009-10-30_final
2009-10-31 09:20:54	ga_ls5t_ard_3-0-0_092079_2009-10-30_final
2009-10-31 09:21:18	ga_ls5t_ard_3-0-0_092080_2009-10-30_final
2009-10-31 09:21:42	ga_ls5t_ard_3-0-0_092081_2009-10-30_final
2009-10-31 09:22:06	ga_ls5t_ard_3-0-0_092082_2009-10-30_final
2009-10-31 09:22:30	ga_ls5t_ard_3-0-0_092083_2009-10-30_final
2009-10-31 09:22:54	ga_ls5t_ard_3-0-0_092084_2009-10-30_final
2009-10-31 09:23:18	ga_ls5t_ard_3-0-0_092085_2009-10-30_final
2009-10-31 09:23:42	ga_ls5t_ard_3-0-0_092086_2009-10-30_final
2009-10-31 09:24:06	ga_ls5t_ard_3-0-0_092087_2009-10-30_final
2009-10-31 09:24:30	ga_ls5t_ard_3-0-0_092088_2009-10-30_final

Return to ga_ls5t_ard_3 across October 2009 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

2009

October

All days