Search ga_ls5t_ard_3 across November 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
2009-11-01 09:59:23	ga_ls5t_ard_3-0-0_099067_2009-11-01_final
2009-11-01 09:59:47	ga_ls5t_ard_3-0-0_099068_2009-11-01_final
2009-11-01 10:00:11	ga_ls5t_ard_3-0-0_099069_2009-11-01_final
2009-11-01 10:00:35	ga_ls5t_ard_3-0-0_099070_2009-11-01_final
2009-11-01 10:00:59	ga_ls5t_ard_3-0-0_099071_2009-11-01_final
2009-11-01 10:01:23	ga_ls5t_ard_3-0-0_099072_2009-11-01_final
2009-11-01 10:01:46	ga_ls5t_ard_3-0-0_099073_2009-11-01_final
2009-11-01 10:02:11	ga_ls5t_ard_3-0-0_099074_2009-11-01_final
2009-11-01 10:02:34	ga_ls5t_ard_3-0-0_099075_2009-11-01_final
2009-11-01 10:02:59	ga_ls5t_ard_3-0-0_099076_2009-11-01_final
2009-11-01 10:03:22	ga_ls5t_ard_3-0-0_099077_2009-11-01_final
2009-11-02 09:07:45	ga_ls5t_ard_3-0-0_090077_2009-11-01_final
2009-11-02 09:08:10	ga_ls5t_ard_3-0-0_090078_2009-11-01_final
2009-11-02 09:08:34	ga_ls5t_ard_3-0-0_090079_2009-11-01_final
2009-11-02 09:08:57	ga_ls5t_ard_3-0-0_090080_2009-11-01_final
2009-11-02 09:09:21	ga_ls5t_ard_3-0-0_090081_2009-11-01_final
2009-11-02 09:09:45	ga_ls5t_ard_3-0-0_090082_2009-11-01_final
2009-11-02 09:10:09	ga_ls5t_ard_3-0-0_090083_2009-11-01_final
2009-11-02 09:10:33	ga_ls5t_ard_3-0-0_090084_2009-11-01_final
2009-11-02 09:10:57	ga_ls5t_ard_3-0-0_090085_2009-11-01_final
2009-11-02 09:11:21	ga_ls5t_ard_3-0-0_090086_2009-11-01_final
2009-11-02 09:12:09	ga_ls5t_ard_3-0-0_090088_2009-11-01_final
2009-11-02 09:12:33	ga_ls5t_ard_3-0-0_090089_2009-11-01_final
2009-11-03 09:47:50	ga_ls5t_ard_3-1-0_097069_2009-11-03_final
2009-11-03 09:48:14	ga_ls5t_ard_3-0-0_097070_2009-11-03_final
2009-11-03 09:48:38	ga_ls5t_ard_3-0-0_097071_2009-11-03_final
2009-11-03 09:49:02	ga_ls5t_ard_3-0-0_097072_2009-11-03_final
2009-11-03 09:49:26	ga_ls5t_ard_3-0-0_097073_2009-11-03_final
2009-11-03 09:49:50	ga_ls5t_ard_3-0-0_097074_2009-11-03_final
2009-11-03 09:50:14	ga_ls5t_ard_3-0-0_097075_2009-11-03_final
2009-11-03 09:50:38	ga_ls5t_ard_3-0-0_097076_2009-11-03_final
2009-11-03 09:51:02	ga_ls5t_ard_3-0-0_097077_2009-11-03_final
2009-11-03 09:51:26	ga_ls5t_ard_3-0-0_097078_2009-11-03_final
2009-11-03 09:51:50	ga_ls5t_ard_3-0-0_097079_2009-11-03_final
2009-11-03 09:52:14	ga_ls5t_ard_3-0-0_097080_2009-11-03_final
2009-11-03 09:52:37	ga_ls5t_ard_3-0-0_097081_2009-11-03_final
2009-11-05 09:34:42	ga_ls5t_ard_3-0-0_095067_2009-11-05_final
2009-11-15 10:13:02	ga_ls5t_ard_3-1-0_101070_2009-11-15_final
2009-11-15 10:13:26	ga_ls5t_ard_3-0-0_101071_2009-11-15_final
2009-11-15 10:13:51	ga_ls5t_ard_3-0-0_101072_2009-11-15_final
2009-11-15 10:14:14	ga_ls5t_ard_3-1-0_101073_2009-11-15_final
2009-11-15 10:14:38	ga_ls5t_ard_3-0-0_101074_2009-11-15_final
2009-11-15 10:15:02	ga_ls5t_ard_3-0-0_101075_2009-11-15_final
2009-11-15 10:15:26	ga_ls5t_ard_3-0-0_101076_2009-11-15_final
2009-11-15 10:15:50	ga_ls5t_ard_3-0-0_101077_2009-11-15_final
2009-11-15 10:16:14	ga_ls5t_ard_3-0-0_101078_2009-11-15_final
2009-11-15 10:16:38	ga_ls5t_ard_3-1-0_101079_2009-11-15_final
2009-11-15 10:17:02	ga_ls5t_ard_3-0-0_101080_2009-11-15_final
2009-11-15 10:17:26	ga_ls5t_ard_3-0-0_101081_2009-11-15_final
2009-11-15 10:17:50	ga_ls5t_ard_3-0-0_101082_2009-11-15_final
2009-11-15 10:18:14	ga_ls5t_ard_3-0-0_101083_2009-11-15_final
2009-11-16 09:19:25	ga_ls5t_ard_3-1-0_092075_2009-11-15_final
2009-11-16 09:19:49	ga_ls5t_ard_3-0-0_092076_2009-11-15_final
2009-11-16 09:20:13	ga_ls5t_ard_3-0-0_092077_2009-11-15_final
2009-11-16 09:20:37	ga_ls5t_ard_3-0-0_092078_2009-11-15_final
2009-11-16 09:21:01	ga_ls5t_ard_3-0-0_092079_2009-11-15_final
2009-11-16 09:21:25	ga_ls5t_ard_3-0-0_092080_2009-11-15_final
2009-11-16 09:21:49	ga_ls5t_ard_3-0-0_092081_2009-11-15_final
2009-11-16 09:22:13	ga_ls5t_ard_3-0-0_092082_2009-11-15_final
2009-11-16 09:22:37	ga_ls5t_ard_3-0-0_092083_2009-11-15_final
2009-11-16 09:23:01	ga_ls5t_ard_3-0-0_092084_2009-11-15_final
2009-11-16 09:23:25	ga_ls5t_ard_3-0-0_092085_2009-11-15_final
2009-11-16 09:24:37	ga_ls5t_ard_3-0-0_092088_2009-11-15_final
2009-11-16 10:56:19	ga_ls5t_ard_3-0-0_108070_2009-11-16_final
2009-11-16 10:56:43	ga_ls5t_ard_3-0-0_108071_2009-11-16_final
2009-11-16 10:57:07	ga_ls5t_ard_3-0-0_108072_2009-11-16_final
2009-11-16 10:57:30	ga_ls5t_ard_3-0-0_108073_2009-11-16_final
2009-11-16 10:57:54	ga_ls5t_ard_3-0-0_108074_2009-11-16_final
2009-11-16 10:58:18	ga_ls5t_ard_3-0-0_108075_2009-11-16_final
2009-11-16 10:58:42	ga_ls5t_ard_3-0-0_108076_2009-11-16_final
2009-11-16 10:59:06	ga_ls5t_ard_3-0-0_108077_2009-11-16_final
2009-11-16 10:59:30	ga_ls5t_ard_3-0-0_108078_2009-11-16_final
2009-11-16 10:59:54	ga_ls5t_ard_3-1-0_108079_2009-11-16_final
2009-11-16 11:00:18	ga_ls5t_ard_3-0-0_108080_2009-11-16_final
2009-11-16 11:00:42	ga_ls5t_ard_3-0-0_108081_2009-11-16_final
2009-11-16 11:01:30	ga_ls5t_ard_3-0-0_108083_2009-11-16_final
2009-11-16 11:01:54	ga_ls5t_ard_3-0-0_108084_2009-11-16_final
2009-11-17 09:59:30	ga_ls5t_ard_3-0-0_099067_2009-11-17_final
2009-11-17 09:59:54	ga_ls5t_ard_3-0-0_099068_2009-11-17_final
2009-11-17 10:00:18	ga_ls5t_ard_3-0-0_099069_2009-11-17_final
2009-11-17 10:00:42	ga_ls5t_ard_3-0-0_099070_2009-11-17_final
2009-11-17 10:01:05	ga_ls5t_ard_3-0-0_099071_2009-11-17_final
2009-11-17 10:01:30	ga_ls5t_ard_3-0-0_099072_2009-11-17_final
2009-11-17 10:01:53	ga_ls5t_ard_3-0-0_099073_2009-11-17_final
2009-11-17 10:02:17	ga_ls5t_ard_3-1-0_099074_2009-11-17_final
2009-11-17 10:02:41	ga_ls5t_ard_3-0-0_099075_2009-11-17_final
2009-11-17 10:03:05	ga_ls5t_ard_3-0-0_099076_2009-11-17_final
2009-11-17 10:03:29	ga_ls5t_ard_3-0-0_099077_2009-11-17_final
2009-11-17 10:03:53	ga_ls5t_ard_3-0-0_099078_2009-11-17_final
2009-11-17 10:04:17	ga_ls5t_ard_3-0-0_099079_2009-11-17_final
2009-11-17 10:04:41	ga_ls5t_ard_3-0-0_099080_2009-11-17_final
2009-11-17 10:05:05	ga_ls5t_ard_3-0-0_099081_2009-11-17_final
2009-11-17 10:05:29	ga_ls5t_ard_3-0-0_099082_2009-11-17_final
2009-11-17 10:05:53	ga_ls5t_ard_3-0-0_099083_2009-11-17_final
2009-11-17 10:06:17	ga_ls5t_ard_3-0-0_099084_2009-11-17_final
2009-11-17 11:41:11	ga_ls5t_ard_3-0-0_115074_2009-11-17_final
2009-11-17 11:41:34	ga_ls5t_ard_3-0-0_115075_2009-11-17_final
2009-11-17 11:41:58	ga_ls5t_ard_3-0-0_115076_2009-11-17_final
2009-11-17 11:42:22	ga_ls5t_ard_3-0-0_115077_2009-11-17_final
2009-11-17 11:42:46	ga_ls5t_ard_3-0-0_115078_2009-11-17_final

Return to ga_ls5t_ard_3 across November 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

November

All days