Search ga_ls8c_ard_3 across September 2014

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
2014-09-05 10:03:04	ga_ls8c_ard_3-0-0_098067_2014-09-05_final
2014-09-05 10:03:28	ga_ls8c_ard_3-0-0_098068_2014-09-05_final
2014-09-05 10:03:52	ga_ls8c_ard_3-0-0_098069_2014-09-05_final
2014-09-05 10:04:16	ga_ls8c_ard_3-0-0_098070_2014-09-05_final
2014-09-06 09:10:15	ga_ls8c_ard_3-0-0_089074_2014-09-05_final
2014-09-06 09:10:39	ga_ls8c_ard_3-0-0_089075_2014-09-05_final
2014-09-06 09:11:03	ga_ls8c_ard_3-0-0_089076_2014-09-05_final
2014-09-06 09:11:27	ga_ls8c_ard_3-0-0_089077_2014-09-05_final
2014-09-06 09:11:51	ga_ls8c_ard_3-0-0_089078_2014-09-05_final
2014-09-06 09:12:15	ga_ls8c_ard_3-0-0_089079_2014-09-05_final
2014-09-06 09:12:39	ga_ls8c_ard_3-0-0_089080_2014-09-05_final
2014-09-06 09:13:03	ga_ls8c_ard_3-0-0_089081_2014-09-05_final
2014-09-06 09:13:27	ga_ls8c_ard_3-0-0_089082_2014-09-05_final
2014-09-06 09:13:50	ga_ls8c_ard_3-0-0_089083_2014-09-05_final
2014-09-06 09:14:14	ga_ls8c_ard_3-0-0_089084_2014-09-05_final
2014-09-06 09:14:38	ga_ls8c_ard_3-0-0_089085_2014-09-05_final
2014-09-06 09:15:02	ga_ls8c_ard_3-0-0_089086_2014-09-05_final
2014-09-06 09:16:14	ga_ls8c_ard_3-0-0_089089_2014-09-05_final
2014-09-06 09:16:38	ga_ls8c_ard_3-0-0_089090_2014-09-05_final
2014-09-20 09:20:12	ga_ls8c_ard_3-0-0_091068_2014-09-19_final
2014-09-20 09:22:12	ga_ls8c_ard_3-0-0_091073_2014-09-19_final
2014-09-20 09:22:36	ga_ls8c_ard_3-0-0_091074_2014-09-19_final
2014-09-20 09:23:00	ga_ls8c_ard_3-0-0_091075_2014-09-19_final
2014-09-20 09:23:24	ga_ls8c_ard_3-0-0_091076_2014-09-19_final
2014-09-20 09:23:48	ga_ls8c_ard_3-0-0_091077_2014-09-19_final
2014-09-20 09:24:12	ga_ls8c_ard_3-0-0_091078_2014-09-19_final
2014-09-20 09:24:35	ga_ls8c_ard_3-0-0_091079_2014-09-19_final
2014-09-20 09:24:59	ga_ls8c_ard_3-0-0_091080_2014-09-19_final
2014-09-20 09:25:23	ga_ls8c_ard_3-0-0_091081_2014-09-19_final
2014-09-20 09:25:47	ga_ls8c_ard_3-0-0_091082_2014-09-19_final
2014-09-20 09:26:11	ga_ls8c_ard_3-0-0_091083_2014-09-19_final
2014-09-20 09:26:35	ga_ls8c_ard_3-0-0_091084_2014-09-19_final
2014-09-20 09:26:59	ga_ls8c_ard_3-0-0_091085_2014-09-19_final
2014-09-20 09:27:23	ga_ls8c_ard_3-0-0_091086_2014-09-19_final
2014-09-20 09:27:47	ga_ls8c_ard_3-0-0_091087_2014-09-19_final
2014-09-20 09:28:11	ga_ls8c_ard_3-0-0_091088_2014-09-19_final
2014-09-20 09:28:35	ga_ls8c_ard_3-0-0_091089_2014-09-19_final
2014-09-20 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-09-19_final
2014-09-20 10:58:41	ga_ls8c_ard_3-0-0_107067_2014-09-20_final
2014-09-20 10:59:53	ga_ls8c_ard_3-0-0_107070_2014-09-20_final
2014-09-20 11:00:17	ga_ls8c_ard_3-0-0_107071_2014-09-20_final
2014-09-20 11:00:41	ga_ls8c_ard_3-0-0_107072_2014-09-20_final
2014-09-20 11:01:05	ga_ls8c_ard_3-0-0_107073_2014-09-20_final
2014-09-20 11:01:29	ga_ls8c_ard_3-0-0_107074_2014-09-20_final
2014-09-20 11:01:53	ga_ls8c_ard_3-0-0_107075_2014-09-20_final
2014-09-20 11:02:17	ga_ls8c_ard_3-0-0_107076_2014-09-20_final
2014-09-20 11:02:41	ga_ls8c_ard_3-0-0_107077_2014-09-20_final
2014-09-20 11:03:04	ga_ls8c_ard_3-0-0_107078_2014-09-20_final
2014-09-20 11:03:28	ga_ls8c_ard_3-0-0_107079_2014-09-20_final
2014-09-20 11:03:52	ga_ls8c_ard_3-0-0_107080_2014-09-20_final
2014-09-20 11:04:16	ga_ls8c_ard_3-0-0_107081_2014-09-20_final
2014-09-20 11:04:40	ga_ls8c_ard_3-1-0_107082_2014-09-20_final
2014-09-20 11:05:04	ga_ls8c_ard_3-0-0_107083_2014-09-20_final
2014-09-20 11:05:28	ga_ls8c_ard_3-0-0_107084_2014-09-20_final
2014-09-21 10:05:27	ga_ls8c_ard_3-0-0_098073_2014-09-21_final
2014-09-21 10:05:51	ga_ls8c_ard_3-0-0_098074_2014-09-21_final
2014-09-21 10:06:15	ga_ls8c_ard_3-0-0_098075_2014-09-21_final
2014-09-21 10:06:39	ga_ls8c_ard_3-0-0_098076_2014-09-21_final
2014-09-21 10:07:03	ga_ls8c_ard_3-0-0_098077_2014-09-21_final
2014-09-21 10:07:27	ga_ls8c_ard_3-0-0_098078_2014-09-21_final
2014-09-21 10:07:51	ga_ls8c_ard_3-0-0_098079_2014-09-21_final
2014-09-21 10:08:15	ga_ls8c_ard_3-0-0_098080_2014-09-21_final
2014-09-21 10:08:39	ga_ls8c_ard_3-0-0_098081_2014-09-21_final
2014-09-21 10:09:03	ga_ls8c_ard_3-0-0_098082_2014-09-21_final
2014-09-21 10:09:26	ga_ls8c_ard_3-0-0_098083_2014-09-21_final
2014-09-21 10:09:50	ga_ls8c_ard_3-0-0_098084_2014-09-21_final
2014-09-21 10:10:14	ga_ls8c_ard_3-0-0_098085_2014-09-21_final
2014-09-21 11:41:56	ga_ls8c_ard_3-0-0_114067_2014-09-21_final
2014-09-21 11:44:44	ga_ls8c_ard_3-0-0_114074_2014-09-21_final
2014-09-21 11:45:08	ga_ls8c_ard_3-0-0_114075_2014-09-21_final
2014-09-21 11:45:32	ga_ls8c_ard_3-0-0_114076_2014-09-21_final
2014-09-21 11:45:56	ga_ls8c_ard_3-0-0_114077_2014-09-21_final
2014-09-21 11:46:20	ga_ls8c_ard_3-0-0_114078_2014-09-21_final
2014-09-21 11:46:44	ga_ls8c_ard_3-0-0_114079_2014-09-21_final
2014-09-21 11:47:08	ga_ls8c_ard_3-0-0_114080_2014-09-21_final
2014-09-21 11:47:32	ga_ls8c_ard_3-0-0_114081_2014-09-21_final
2014-09-22 09:11:49	ga_ls8c_ard_3-0-0_089078_2014-09-21_final
2014-09-22 09:12:13	ga_ls8c_ard_3-0-0_089079_2014-09-21_final
2014-09-22 09:13:25	ga_ls8c_ard_3-0-0_089082_2014-09-21_final
2014-09-22 09:13:49	ga_ls8c_ard_3-0-0_089083_2014-09-21_final
2014-09-22 09:14:13	ga_ls8c_ard_3-0-0_089084_2014-09-21_final
2014-09-22 09:14:37	ga_ls8c_ard_3-0-0_089085_2014-09-21_final
2014-09-22 09:15:01	ga_ls8c_ard_3-0-0_089086_2014-09-21_final
2014-09-22 09:16:12	ga_ls8c_ard_3-0-0_089089_2014-09-21_final
2014-09-22 09:16:36	ga_ls8c_ard_3-0-0_089090_2014-09-21_final
2014-09-22 10:46:43	ga_ls8c_ard_3-0-0_105068_2014-09-22_final
2014-09-22 10:47:06	ga_ls8c_ard_3-0-0_105069_2014-09-22_final
2014-09-22 10:47:30	ga_ls8c_ard_3-0-0_105070_2014-09-22_final
2014-09-22 10:47:54	ga_ls8c_ard_3-0-0_105071_2014-09-22_final
2014-09-22 10:48:18	ga_ls8c_ard_3-0-0_105072_2014-09-22_final
2014-09-22 10:48:42	ga_ls8c_ard_3-0-0_105073_2014-09-22_final
2014-09-22 10:49:06	ga_ls8c_ard_3-0-0_105074_2014-09-22_final
2014-09-22 10:49:30	ga_ls8c_ard_3-0-0_105075_2014-09-22_final
2014-09-22 10:49:54	ga_ls8c_ard_3-0-0_105076_2014-09-22_final
2014-09-22 10:50:18	ga_ls8c_ard_3-0-0_105077_2014-09-22_final
2014-09-22 10:50:42	ga_ls8c_ard_3-0-0_105078_2014-09-22_final
2014-09-22 10:51:06	ga_ls8c_ard_3-0-0_105079_2014-09-22_final
2014-09-22 10:51:30	ga_ls8c_ard_3-0-0_105080_2014-09-22_final
2014-09-22 10:51:54	ga_ls8c_ard_3-0-0_105081_2014-09-22_final
2014-09-22 10:52:18	ga_ls8c_ard_3-0-0_105082_2014-09-22_final

Return to ga_ls8c_ard_3 across September 2014 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

2014

September

All days