Search ga_ls8c_ard_3 across October 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
2013-10-01 09:33:56	ga_ls8c_ard_3-0-0_093067_2013-10-01_final
2013-10-01 09:34:20	ga_ls8c_ard_3-0-0_093068_2013-10-01_final
2013-10-01 09:36:43	ga_ls8c_ard_3-0-0_093074_2013-10-01_final
2013-10-01 09:37:07	ga_ls8c_ard_3-0-0_093075_2013-10-01_final
2013-10-01 09:38:43	ga_ls8c_ard_3-0-0_093079_2013-10-01_final
2013-10-01 09:39:07	ga_ls8c_ard_3-0-0_093080_2013-10-01_final
2013-10-01 09:40:19	ga_ls8c_ard_3-0-0_093083_2013-10-01_final
2013-10-01 09:40:43	ga_ls8c_ard_3-0-0_093084_2013-10-01_final
2013-10-01 09:41:07	ga_ls8c_ard_3-0-0_093085_2013-10-01_final
2013-10-01 09:41:30	ga_ls8c_ard_3-0-0_093086_2013-10-01_final
2013-10-01 09:41:54	ga_ls8c_ard_3-0-0_093087_2013-10-01_final
2013-10-01 11:14:00	ga_ls8c_ard_3-0-0_109070_2013-10-01_final
2013-10-01 11:14:24	ga_ls8c_ard_3-0-0_109071_2013-10-01_final
2013-10-01 11:14:48	ga_ls8c_ard_3-0-0_109072_2013-10-01_final
2013-10-01 11:15:12	ga_ls8c_ard_3-0-0_109073_2013-10-01_final
2013-10-01 11:15:36	ga_ls8c_ard_3-0-0_109074_2013-10-01_final
2013-10-01 11:16:00	ga_ls8c_ard_3-0-0_109075_2013-10-01_final
2013-10-01 11:16:24	ga_ls8c_ard_3-0-0_109076_2013-10-01_final
2013-10-01 11:16:48	ga_ls8c_ard_3-0-0_109077_2013-10-01_final
2013-10-01 11:17:12	ga_ls8c_ard_3-0-0_109078_2013-10-01_final
2013-10-01 11:17:36	ga_ls8c_ard_3-0-0_109079_2013-10-01_final
2013-10-01 11:18:00	ga_ls8c_ard_3-0-0_109080_2013-10-01_final
2013-10-01 11:18:24	ga_ls8c_ard_3-0-0_109081_2013-10-01_final
2013-10-01 11:18:48	ga_ls8c_ard_3-0-0_109082_2013-10-01_final
2013-10-01 11:19:12	ga_ls8c_ard_3-0-0_109083_2013-10-01_final
2013-10-01 11:19:36	ga_ls8c_ard_3-0-0_109084_2013-10-01_final
2013-10-02 10:23:11	ga_ls8c_ard_3-0-0_100082_2013-10-02_final
2013-10-02 10:23:34	ga_ls8c_ard_3-0-0_100083_2013-10-02_final
2013-10-02 10:23:58	ga_ls8c_ard_3-0-0_100084_2013-10-02_final
2013-10-03 09:26:22	ga_ls8c_ard_3-0-0_091079_2013-10-02_final
2013-10-03 09:26:45	ga_ls8c_ard_3-0-0_091080_2013-10-02_final
2013-10-03 09:27:09	ga_ls8c_ard_3-0-0_091081_2013-10-02_final
2013-10-03 09:29:33	ga_ls8c_ard_3-0-0_091087_2013-10-02_final
2013-10-03 09:29:57	ga_ls8c_ard_3-0-0_091088_2013-10-02_final
2013-10-03 09:30:21	ga_ls8c_ard_3-0-0_091089_2013-10-03_final
2013-10-03 09:30:45	ga_ls8c_ard_3-0-0_091090_2013-10-03_final
2013-10-03 11:01:39	ga_ls8c_ard_3-0-0_107070_2013-10-03_final
2013-10-03 11:02:03	ga_ls8c_ard_3-0-0_107071_2013-10-03_final
2013-10-03 11:02:27	ga_ls8c_ard_3-0-0_107072_2013-10-03_final
2013-10-03 11:02:51	ga_ls8c_ard_3-0-0_107073_2013-10-03_final
2013-10-03 11:03:15	ga_ls8c_ard_3-0-0_107074_2013-10-03_final
2013-10-03 11:03:39	ga_ls8c_ard_3-0-0_107075_2013-10-03_final
2013-10-03 11:04:03	ga_ls8c_ard_3-0-0_107076_2013-10-03_final
2013-10-03 11:06:26	ga_ls8c_ard_3-1-0_107082_2013-10-03_final
2013-10-03 11:06:50	ga_ls8c_ard_3-0-0_107083_2013-10-03_final
2013-10-03 11:07:14	ga_ls8c_ard_3-0-0_107084_2013-10-03_final
2013-10-04 10:04:50	ga_ls8c_ard_3-0-0_098067_2013-10-04_final
2013-10-04 10:05:14	ga_ls8c_ard_3-0-0_098068_2013-10-04_final
2013-10-04 10:05:38	ga_ls8c_ard_3-0-0_098069_2013-10-04_final
2013-10-04 10:06:02	ga_ls8c_ard_3-0-0_098070_2013-10-04_final
2013-10-04 10:06:26	ga_ls8c_ard_3-0-0_098071_2013-10-04_final
2013-10-04 10:06:50	ga_ls8c_ard_3-0-0_098072_2013-10-04_final
2013-10-04 10:07:14	ga_ls8c_ard_3-0-0_098073_2013-10-04_final
2013-10-04 10:07:38	ga_ls8c_ard_3-0-0_098074_2013-10-04_final
2013-10-04 10:08:49	ga_ls8c_ard_3-0-0_098077_2013-10-04_final
2013-10-04 10:09:13	ga_ls8c_ard_3-0-0_098078_2013-10-04_final
2013-10-04 10:09:37	ga_ls8c_ard_3-0-0_098079_2013-10-04_final
2013-10-04 10:10:49	ga_ls8c_ard_3-0-0_098082_2013-10-04_final
2013-10-04 10:11:13	ga_ls8c_ard_3-0-0_098083_2013-10-04_final
2013-10-04 10:11:37	ga_ls8c_ard_3-0-0_098084_2013-10-04_final
2013-10-04 10:12:01	ga_ls8c_ard_3-0-0_098085_2013-10-04_final
2013-10-04 11:43:43	ga_ls8c_ard_3-0-0_114067_2013-10-04_final
2013-10-04 11:46:31	ga_ls8c_ard_3-0-0_114074_2013-10-04_final
2013-10-04 11:46:55	ga_ls8c_ard_3-0-0_114075_2013-10-04_final
2013-10-04 11:47:19	ga_ls8c_ard_3-0-0_114076_2013-10-04_final
2013-10-04 11:47:43	ga_ls8c_ard_3-0-0_114077_2013-10-04_final
2013-10-04 11:48:06	ga_ls8c_ard_3-0-0_114078_2013-10-04_final
2013-10-04 11:48:30	ga_ls8c_ard_3-0-0_114079_2013-10-04_final
2013-10-04 11:48:54	ga_ls8c_ard_3-0-0_114080_2013-10-04_final
2013-10-04 11:49:18	ga_ls8c_ard_3-0-0_114081_2013-10-04_final
2013-10-05 09:13:36	ga_ls8c_ard_3-0-0_089078_2013-10-04_final
2013-10-05 09:14:00	ga_ls8c_ard_3-0-0_089079_2013-10-04_final
2013-10-05 09:14:24	ga_ls8c_ard_3-0-0_089080_2013-10-04_final
2013-10-05 09:14:48	ga_ls8c_ard_3-0-0_089081_2013-10-04_final
2013-10-05 09:15:12	ga_ls8c_ard_3-0-0_089082_2013-10-04_final
2013-10-05 09:15:36	ga_ls8c_ard_3-0-0_089083_2013-10-04_final
2013-10-05 09:16:00	ga_ls8c_ard_3-0-0_089084_2013-10-04_final
2013-10-05 09:16:24	ga_ls8c_ard_3-0-0_089085_2013-10-04_final
2013-10-05 09:16:48	ga_ls8c_ard_3-0-0_089086_2013-10-04_final
2013-10-31 09:46:08	ga_ls8c_ard_3-0-0_095067_2013-10-31_final
2013-10-31 09:48:08	ga_ls8c_ard_3-0-0_095072_2013-10-31_final
2013-10-31 09:48:32	ga_ls8c_ard_3-0-0_095073_2013-10-31_final
2013-10-31 09:48:56	ga_ls8c_ard_3-0-0_095074_2013-10-31_final
2013-10-31 09:49:20	ga_ls8c_ard_3-0-0_095075_2013-10-31_final
2013-10-31 11:25:01	ga_ls8c_ard_3-0-0_111067_2013-10-31_final
2013-10-31 11:25:25	ga_ls8c_ard_3-0-0_111068_2013-10-31_final
2013-10-31 11:25:49	ga_ls8c_ard_3-0-0_111069_2013-10-31_final
2013-10-31 11:26:13	ga_ls8c_ard_3-0-0_111070_2013-10-31_final
2013-10-31 11:26:37	ga_ls8c_ard_3-0-0_111071_2013-10-31_final
2013-10-31 11:27:01	ga_ls8c_ard_3-0-0_111072_2013-10-31_final
2013-10-31 11:27:25	ga_ls8c_ard_3-0-0_111073_2013-10-31_final
2013-10-31 11:27:49	ga_ls8c_ard_3-0-0_111074_2013-10-31_final
2013-10-31 11:28:13	ga_ls8c_ard_3-0-0_111075_2013-10-31_final
2013-10-31 11:28:37	ga_ls8c_ard_3-0-0_111076_2013-10-31_final
2013-10-31 11:29:00	ga_ls8c_ard_3-0-0_111077_2013-10-31_final
2013-10-31 11:29:24	ga_ls8c_ard_3-0-0_111078_2013-10-31_final
2013-10-31 11:29:48	ga_ls8c_ard_3-0-0_111079_2013-10-31_final
2013-10-31 11:30:12	ga_ls8c_ard_3-0-0_111080_2013-10-31_final
2013-10-31 11:30:36	ga_ls8c_ard_3-0-0_111081_2013-10-31_final
2013-10-31 11:31:00	ga_ls8c_ard_3-0-0_111082_2013-10-31_final

Return to ga_ls8c_ard_3 across October 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

October

All days