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 09:18:09	ga_ls8c_ard_3-0-0_089089_2013-09-02_final
2013-09-03 09:18:33	ga_ls8c_ard_3-0-0_089090_2013-09-02_final
2013-09-04 09:52:38	ga_ls8c_ard_3-0-0_096067_2013-09-04_final
2013-09-04 09:53:49	ga_ls8c_ard_3-0-0_096070_2013-09-04_final
2013-09-04 09:54:13	ga_ls8c_ard_3-0-0_096071_2013-09-04_final
2013-09-04 09:54:37	ga_ls8c_ard_3-0-0_096072_2013-09-04_final
2013-09-04 09:55:01	ga_ls8c_ard_3-0-0_096073_2013-09-04_final
2013-09-04 09:55:25	ga_ls8c_ard_3-0-0_096074_2013-09-04_final
2013-09-04 09:55:49	ga_ls8c_ard_3-0-0_096075_2013-09-04_final
2013-09-04 09:56:13	ga_ls8c_ard_3-0-0_096076_2013-09-04_final
2013-09-04 09:56:37	ga_ls8c_ard_3-0-0_096077_2013-09-04_final
2013-09-04 09:57:01	ga_ls8c_ard_3-0-0_096078_2013-09-04_final
2013-09-04 09:57:25	ga_ls8c_ard_3-0-0_096079_2013-09-04_final
2013-09-06 09:40:16	ga_ls8c_ard_3-0-0_094067_2013-09-06_final
2013-09-06 09:42:39	ga_ls8c_ard_3-0-0_094073_2013-09-06_final
2013-09-06 09:43:03	ga_ls8c_ard_3-0-0_094074_2013-09-06_final
2013-09-06 09:43:27	ga_ls8c_ard_3-0-0_094075_2013-09-06_final
2013-09-06 09:43:51	ga_ls8c_ard_3-0-0_094076_2013-09-06_final
2013-09-06 09:44:15	ga_ls8c_ard_3-0-0_094077_2013-09-06_final
2013-09-06 09:44:39	ga_ls8c_ard_3-0-0_094078_2013-09-06_final
2013-09-06 09:45:03	ga_ls8c_ard_3-0-0_094079_2013-09-06_final
2013-09-06 09:45:27	ga_ls8c_ard_3-0-0_094080_2013-09-06_final
2013-09-06 09:45:51	ga_ls8c_ard_3-0-0_094081_2013-09-06_final
2013-09-06 09:46:15	ga_ls8c_ard_3-0-0_094082_2013-09-06_final
2013-09-06 09:46:39	ga_ls8c_ard_3-0-0_094083_2013-09-06_final
2013-09-06 09:47:03	ga_ls8c_ard_3-0-0_094084_2013-09-06_final
2013-09-06 09:47:27	ga_ls8c_ard_3-0-0_094085_2013-09-06_final
2013-09-16 10:19:17	ga_ls8c_ard_3-0-0_100072_2013-09-16_final
2013-09-16 10:19:40	ga_ls8c_ard_3-0-0_100073_2013-09-16_final
2013-09-16 10:20:04	ga_ls8c_ard_3-0-0_100074_2013-09-16_final
2013-09-16 10:20:28	ga_ls8c_ard_3-0-0_100075_2013-09-16_final
2013-09-16 10:20:52	ga_ls8c_ard_3-0-0_100076_2013-09-16_final
2013-09-16 10:21:16	ga_ls8c_ard_3-0-0_100077_2013-09-16_final
2013-09-16 10:21:40	ga_ls8c_ard_3-0-0_100078_2013-09-16_final
2013-09-16 10:22:04	ga_ls8c_ard_3-0-0_100079_2013-09-16_final
2013-09-16 10:22:28	ga_ls8c_ard_3-0-0_100080_2013-09-16_final
2013-09-16 10:22:52	ga_ls8c_ard_3-0-0_100081_2013-09-16_final
2013-09-16 10:23:16	ga_ls8c_ard_3-0-0_100082_2013-09-16_final
2013-09-16 10:23:40	ga_ls8c_ard_3-0-0_100083_2013-09-16_final
2013-09-16 10:24:04	ga_ls8c_ard_3-0-0_100084_2013-09-16_final
2013-09-17 09:26:02	ga_ls8c_ard_3-0-0_091078_2013-09-16_final
2013-09-17 09:26:26	ga_ls8c_ard_3-0-0_091079_2013-09-16_final
2013-09-17 09:26:50	ga_ls8c_ard_3-0-0_091080_2013-09-16_final
2013-09-17 09:27:14	ga_ls8c_ard_3-0-0_091081_2013-09-16_final
2013-09-17 09:27:38	ga_ls8c_ard_3-0-0_091082_2013-09-16_final
2013-09-17 09:28:02	ga_ls8c_ard_3-0-0_091083_2013-09-16_final
2013-09-17 09:28:26	ga_ls8c_ard_3-0-0_091084_2013-09-16_final
2013-09-17 09:30:26	ga_ls8c_ard_3-0-0_091089_2013-09-17_final
2013-09-17 09:30:50	ga_ls8c_ard_3-0-0_091090_2013-09-17_final
2013-09-17 11:01:44	ga_ls8c_ard_3-0-0_107070_2013-09-17_final
2013-09-17 11:02:08	ga_ls8c_ard_3-0-0_107071_2013-09-17_final
2013-09-17 11:02:32	ga_ls8c_ard_3-0-0_107072_2013-09-17_final
2013-09-17 11:02:56	ga_ls8c_ard_3-0-0_107073_2013-09-17_final
2013-09-17 11:03:20	ga_ls8c_ard_3-0-0_107074_2013-09-17_final
2013-09-17 11:03:44	ga_ls8c_ard_3-0-0_107075_2013-09-17_final
2013-09-17 11:04:07	ga_ls8c_ard_3-0-0_107076_2013-09-17_final
2013-09-17 11:04:31	ga_ls8c_ard_3-0-0_107077_2013-09-17_final
2013-09-17 11:04:55	ga_ls8c_ard_3-0-0_107078_2013-09-17_final
2013-09-17 11:05:19	ga_ls8c_ard_3-0-0_107079_2013-09-17_final
2013-09-17 11:05:43	ga_ls8c_ard_3-0-0_107080_2013-09-17_final
2013-09-17 11:06:07	ga_ls8c_ard_3-0-0_107081_2013-09-17_final
2013-09-17 11:06:31	ga_ls8c_ard_3-1-0_107082_2013-09-17_final
2013-09-17 11:06:55	ga_ls8c_ard_3-0-0_107083_2013-09-17_final
2013-09-17 11:07:19	ga_ls8c_ard_3-0-0_107084_2013-09-17_final
2013-09-18 10:04:54	ga_ls8c_ard_3-0-0_098067_2013-09-18_final
2013-09-18 10:05:18	ga_ls8c_ard_3-0-0_098068_2013-09-18_final
2013-09-18 10:05:42	ga_ls8c_ard_3-0-0_098069_2013-09-18_final
2013-09-18 10:06:06	ga_ls8c_ard_3-0-0_098070_2013-09-18_final
2013-09-18 10:06:30	ga_ls8c_ard_3-1-0_098071_2013-09-18_final
2013-09-18 10:06:54	ga_ls8c_ard_3-0-0_098072_2013-09-18_final
2013-09-18 10:07:18	ga_ls8c_ard_3-0-0_098073_2013-09-18_final
2013-09-18 10:07:42	ga_ls8c_ard_3-0-0_098074_2013-09-18_final
2013-09-18 10:08:06	ga_ls8c_ard_3-0-0_098075_2013-09-18_final
2013-09-18 10:08:30	ga_ls8c_ard_3-0-0_098076_2013-09-18_final
2013-09-18 10:08:54	ga_ls8c_ard_3-0-0_098077_2013-09-18_final
2013-09-18 10:09:18	ga_ls8c_ard_3-0-0_098078_2013-09-18_final
2013-09-18 10:09:41	ga_ls8c_ard_3-0-0_098079_2013-09-18_final
2013-09-18 10:10:05	ga_ls8c_ard_3-0-0_098080_2013-09-18_final
2013-09-18 10:10:29	ga_ls8c_ard_3-0-0_098081_2013-09-18_final
2013-09-18 10:10:53	ga_ls8c_ard_3-0-0_098082_2013-09-18_final
2013-09-18 10:11:17	ga_ls8c_ard_3-0-0_098083_2013-09-18_final
2013-09-18 10:11:41	ga_ls8c_ard_3-0-0_098084_2013-09-18_final
2013-09-18 10:12:05	ga_ls8c_ard_3-0-0_098085_2013-09-18_final
2013-09-18 11:43:47	ga_ls8c_ard_3-0-0_114067_2013-09-18_final
2013-09-18 11:46:35	ga_ls8c_ard_3-0-0_114074_2013-09-18_final
2013-09-18 11:46:59	ga_ls8c_ard_3-0-0_114075_2013-09-18_final
2013-09-18 11:47:23	ga_ls8c_ard_3-0-0_114076_2013-09-18_final
2013-09-18 11:47:47	ga_ls8c_ard_3-0-0_114077_2013-09-18_final
2013-09-18 11:48:11	ga_ls8c_ard_3-0-0_114078_2013-09-18_final
2013-09-18 11:48:35	ga_ls8c_ard_3-0-0_114079_2013-09-18_final
2013-09-18 11:48:58	ga_ls8c_ard_3-0-0_114080_2013-09-18_final
2013-09-18 11:49:22	ga_ls8c_ard_3-0-0_114081_2013-09-18_final
2013-09-19 09:13:40	ga_ls8c_ard_3-0-0_089078_2013-09-18_final
2013-09-19 09:14:04	ga_ls8c_ard_3-0-0_089079_2013-09-18_final
2013-09-19 09:14:28	ga_ls8c_ard_3-0-0_089080_2013-09-18_final
2013-09-19 09:14:52	ga_ls8c_ard_3-0-0_089081_2013-09-18_final
2013-09-19 09:15:16	ga_ls8c_ard_3-0-0_089082_2013-09-18_final
2013-09-19 09:15:39	ga_ls8c_ard_3-0-0_089083_2013-09-18_final
2013-09-19 09:16:03	ga_ls8c_ard_3-0-0_089084_2013-09-18_final
2013-09-19 09:16:27	ga_ls8c_ard_3-0-0_089085_2013-09-18_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2013

September

All days