Search ga_ls8c_ard_3 across September 2013

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
2013-09-03 09:12:10	ga_ls8c_ard_3-0-0_089074_2013-09-02_final
2013-09-03 09:12:34	ga_ls8c_ard_3-0-0_089075_2013-09-02_final
2013-09-03 09:12:58	ga_ls8c_ard_3-0-0_089076_2013-09-02_final
2013-09-03 09:13:21	ga_ls8c_ard_3-0-0_089077_2013-09-02_final
2013-09-03 09:13:45	ga_ls8c_ard_3-0-0_089078_2013-09-02_final
2013-09-03 09:14:09	ga_ls8c_ard_3-0-0_089079_2013-09-02_final
2013-09-03 09:14:33	ga_ls8c_ard_3-0-0_089080_2013-09-02_final
2013-09-09 10:11:09	ga_ls8c_ard_3-0-0_099067_2013-09-09_final
2013-09-09 10:11:33	ga_ls8c_ard_3-0-0_099068_2013-09-09_final
2013-09-09 10:11:57	ga_ls8c_ard_3-0-0_099069_2013-09-09_final
2013-09-09 10:12:21	ga_ls8c_ard_3-0-0_099070_2013-09-09_final
2013-09-09 10:12:45	ga_ls8c_ard_3-0-0_099071_2013-09-09_final
2013-09-09 10:13:08	ga_ls8c_ard_3-0-0_099072_2013-09-09_final
2013-09-09 10:13:32	ga_ls8c_ard_3-0-0_099073_2013-09-09_final
2013-09-09 10:14:44	ga_ls8c_ard_3-0-0_099076_2013-09-09_final
2013-09-09 10:15:08	ga_ls8c_ard_3-0-0_099077_2013-09-09_final
2013-09-09 10:15:32	ga_ls8c_ard_3-0-0_099078_2013-09-09_final
2013-09-09 10:15:56	ga_ls8c_ard_3-0-0_099079_2013-09-09_final
2013-09-09 10:16:20	ga_ls8c_ard_3-0-0_099080_2013-09-09_final
2013-09-09 10:16:44	ga_ls8c_ard_3-0-0_099081_2013-09-09_final
2013-09-09 10:17:08	ga_ls8c_ard_3-0-0_099082_2013-09-09_final
2013-09-09 10:17:32	ga_ls8c_ard_3-0-0_099083_2013-09-09_final
2013-09-09 10:17:56	ga_ls8c_ard_3-0-0_099084_2013-09-09_final
2013-09-09 11:53:13	ga_ls8c_ard_3-0-0_115075_2013-09-09_final
2013-09-09 11:53:37	ga_ls8c_ard_3-0-0_115076_2013-09-09_final
2013-09-09 11:54:01	ga_ls8c_ard_3-0-0_115077_2013-09-09_final
2013-09-09 11:54:25	ga_ls8c_ard_3-0-0_115078_2013-09-09_final
2013-09-09 11:54:49	ga_ls8c_ard_3-0-0_115079_2013-09-09_final
2013-09-10 09:19:54	ga_ls8c_ard_3-0-0_090078_2013-09-09_final
2013-09-10 09:20:18	ga_ls8c_ard_3-0-0_090079_2013-09-09_final
2013-09-10 09:20:42	ga_ls8c_ard_3-0-0_090080_2013-09-09_final
2013-09-10 09:21:06	ga_ls8c_ard_3-0-0_090081_2013-09-09_final
2013-09-10 09:21:30	ga_ls8c_ard_3-0-0_090082_2013-09-09_final
2013-09-10 09:21:54	ga_ls8c_ard_3-0-0_090083_2013-09-09_final
2013-09-10 09:22:18	ga_ls8c_ard_3-0-0_090084_2013-09-09_final
2013-09-10 09:22:42	ga_ls8c_ard_3-0-0_090085_2013-09-09_final
2013-09-10 09:23:06	ga_ls8c_ard_3-0-0_090086_2013-09-09_final
2013-09-10 09:23:30	ga_ls8c_ard_3-0-0_090087_2013-09-09_final
2013-09-10 09:23:54	ga_ls8c_ard_3-0-0_090088_2013-09-09_final
2013-09-10 09:24:18	ga_ls8c_ard_3-0-0_090089_2013-09-09_final
2013-09-10 09:24:42	ga_ls8c_ard_3-0-0_090090_2013-09-09_final
2013-09-10 10:54:48	ga_ls8c_ard_3-0-0_106068_2013-09-10_final
2013-09-10 10:55:12	ga_ls8c_ard_3-0-0_106069_2013-09-10_final
2013-09-10 10:55:36	ga_ls8c_ard_3-0-0_106070_2013-09-10_final
2013-09-10 10:56:00	ga_ls8c_ard_3-0-0_106071_2013-09-10_final
2013-09-10 10:56:24	ga_ls8c_ard_3-0-0_106072_2013-09-10_final
2013-09-10 10:56:48	ga_ls8c_ard_3-0-0_106073_2013-09-10_final
2013-09-10 10:57:12	ga_ls8c_ard_3-0-0_106074_2013-09-10_final
2013-09-10 10:57:36	ga_ls8c_ard_3-0-0_106075_2013-09-10_final
2013-09-10 10:58:00	ga_ls8c_ard_3-0-0_106076_2013-09-10_final
2013-09-10 10:58:23	ga_ls8c_ard_3-0-0_106077_2013-09-10_final
2013-09-10 10:58:47	ga_ls8c_ard_3-0-0_106078_2013-09-10_final
2013-09-10 10:59:11	ga_ls8c_ard_3-0-0_106079_2013-09-10_final
2013-09-10 10:59:35	ga_ls8c_ard_3-0-0_106080_2013-09-10_final
2013-09-10 10:59:59	ga_ls8c_ard_3-0-0_106081_2013-09-10_final
2013-09-10 11:00:23	ga_ls8c_ard_3-0-0_106082_2013-09-10_final
2013-09-10 11:00:47	ga_ls8c_ard_3-0-0_106083_2013-09-10_final
2013-09-11 09:59:34	ga_ls8c_ard_3-0-0_097069_2013-09-11_final
2013-09-11 09:59:58	ga_ls8c_ard_3-0-0_097070_2013-09-11_final
2013-09-11 10:00:22	ga_ls8c_ard_3-0-0_097071_2013-09-11_final
2013-09-11 10:00:46	ga_ls8c_ard_3-0-0_097072_2013-09-11_final
2013-09-11 10:02:22	ga_ls8c_ard_3-0-0_097076_2013-09-11_final
2013-09-11 10:02:46	ga_ls8c_ard_3-0-0_097077_2013-09-11_final
2013-09-11 10:03:10	ga_ls8c_ard_3-0-0_097078_2013-09-11_final
2013-09-11 10:03:34	ga_ls8c_ard_3-0-0_097079_2013-09-11_final
2013-09-11 10:03:58	ga_ls8c_ard_3-0-0_097080_2013-09-11_final
2013-09-11 10:04:22	ga_ls8c_ard_3-0-0_097081_2013-09-11_final
2013-09-11 10:04:46	ga_ls8c_ard_3-0-0_097082_2013-09-11_final
2013-09-11 10:05:10	ga_ls8c_ard_3-0-0_097083_2013-09-11_final
2013-09-11 10:05:33	ga_ls8c_ard_3-0-0_097084_2013-09-11_final
2013-09-11 10:05:57	ga_ls8c_ard_3-0-0_097085_2013-09-11_final
2013-09-11 11:37:40	ga_ls8c_ard_3-0-0_113067_2013-09-11_final
2013-09-11 11:39:39	ga_ls8c_ard_3-0-0_113072_2013-09-11_final
2013-09-11 11:40:03	ga_ls8c_ard_3-1-0_113073_2013-09-11_final
2013-09-11 11:40:27	ga_ls8c_ard_3-0-0_113074_2013-09-11_final
2013-09-11 11:40:51	ga_ls8c_ard_3-0-0_113075_2013-09-11_final
2013-09-11 11:41:15	ga_ls8c_ard_3-0-0_113076_2013-09-11_final
2013-09-11 11:41:39	ga_ls8c_ard_3-0-0_113077_2013-09-11_final
2013-09-11 11:42:03	ga_ls8c_ard_3-0-0_113078_2013-09-11_final
2013-09-11 11:42:27	ga_ls8c_ard_3-0-0_113079_2013-09-11_final
2013-09-11 11:42:51	ga_ls8c_ard_3-0-0_113080_2013-09-11_final
2013-09-11 11:43:15	ga_ls8c_ard_3-0-0_113081_2013-09-11_final
2013-09-11 11:43:39	ga_ls8c_ard_3-0-0_113082_2013-09-11_final
2013-09-11 11:44:03	ga_ls8c_ard_3-0-0_113083_2013-09-11_final
2013-09-11 11:44:27	ga_ls8c_ard_3-0-0_113084_2013-09-11_final
2013-09-12 09:08:20	ga_ls8c_ard_3-0-0_088080_2013-09-11_final
2013-09-12 09:08:44	ga_ls8c_ard_3-1-0_088081_2013-09-11_final
2013-09-12 09:09:08	ga_ls8c_ard_3-0-0_088082_2013-09-11_final
2013-09-12 09:09:32	ga_ls8c_ard_3-0-0_088083_2013-09-11_final
2013-09-12 10:42:26	ga_ls8c_ard_3-0-0_104068_2013-09-12_final
2013-09-12 10:42:50	ga_ls8c_ard_3-0-0_104069_2013-09-12_final
2013-09-12 10:43:14	ga_ls8c_ard_3-0-0_104070_2013-09-12_final
2013-09-12 10:43:38	ga_ls8c_ard_3-0-0_104071_2013-09-12_final
2013-09-12 10:44:01	ga_ls8c_ard_3-0-0_104072_2013-09-12_final
2013-09-12 10:44:25	ga_ls8c_ard_3-0-0_104073_2013-09-12_final
2013-09-12 10:44:49	ga_ls8c_ard_3-0-0_104074_2013-09-12_final
2013-09-12 10:45:13	ga_ls8c_ard_3-0-0_104075_2013-09-12_final
2013-09-12 10:45:37	ga_ls8c_ard_3-0-0_104076_2013-09-12_final
2013-09-12 10:47:13	ga_ls8c_ard_3-0-0_104080_2013-09-12_final
2013-09-12 10:47:37	ga_ls8c_ard_3-0-0_104081_2013-09-12_final

Return to ga_ls8c_ard_3 across September 2013 overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2013

September

All days