Search ga_ls8c_ard_3 across November 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
2014-11-05 09:32:16	ga_ls8c_ard_3-0-0_093067_2014-11-05_final
2014-11-05 09:32:40	ga_ls8c_ard_3-1-0_093068_2014-11-05_final
2014-11-05 09:33:52	ga_ls8c_ard_3-0-0_093071_2014-11-05_final
2014-11-05 09:34:16	ga_ls8c_ard_3-0-0_093072_2014-11-05_final
2014-11-05 09:34:39	ga_ls8c_ard_3-0-0_093073_2014-11-05_final
2014-11-05 09:35:03	ga_ls8c_ard_3-0-0_093074_2014-11-05_final
2014-11-05 09:35:27	ga_ls8c_ard_3-0-0_093075_2014-11-05_final
2014-11-05 09:35:51	ga_ls8c_ard_3-0-0_093076_2014-11-05_final
2014-11-05 09:36:15	ga_ls8c_ard_3-0-0_093077_2014-11-05_final
2014-11-05 09:36:39	ga_ls8c_ard_3-0-0_093078_2014-11-05_final
2014-11-05 09:37:03	ga_ls8c_ard_3-0-0_093079_2014-11-05_final
2014-11-05 09:37:27	ga_ls8c_ard_3-0-0_093080_2014-11-05_final
2014-11-05 09:37:51	ga_ls8c_ard_3-0-0_093081_2014-11-05_final
2014-11-05 09:38:15	ga_ls8c_ard_3-0-0_093082_2014-11-05_final
2014-11-05 09:38:39	ga_ls8c_ard_3-0-0_093083_2014-11-05_final
2014-11-05 09:39:03	ga_ls8c_ard_3-0-0_093084_2014-11-05_final
2014-11-05 09:39:27	ga_ls8c_ard_3-0-0_093085_2014-11-05_final
2014-11-05 09:39:51	ga_ls8c_ard_3-0-0_093086_2014-11-05_final
2014-11-05 09:40:15	ga_ls8c_ard_3-0-0_093087_2014-11-05_final
2014-11-05 09:40:39	ga_ls8c_ard_3-0-0_093088_2014-11-05_final
2014-11-06 10:17:08	ga_ls8c_ard_3-0-0_100071_2014-11-06_final
2014-11-06 10:17:32	ga_ls8c_ard_3-0-0_100072_2014-11-06_final
2014-11-06 10:17:56	ga_ls8c_ard_3-0-0_100073_2014-11-06_final
2014-11-06 10:18:19	ga_ls8c_ard_3-0-0_100074_2014-11-06_final
2014-11-06 10:18:43	ga_ls8c_ard_3-0-0_100075_2014-11-06_final
2014-11-06 10:19:07	ga_ls8c_ard_3-0-0_100076_2014-11-06_final
2014-11-06 10:19:31	ga_ls8c_ard_3-0-0_100077_2014-11-06_final
2014-11-06 10:19:55	ga_ls8c_ard_3-0-0_100078_2014-11-06_final
2014-11-06 10:20:19	ga_ls8c_ard_3-0-0_100079_2014-11-06_final
2014-11-06 10:20:43	ga_ls8c_ard_3-0-0_100080_2014-11-06_final
2014-11-06 10:21:07	ga_ls8c_ard_3-0-0_100081_2014-11-06_final
2014-11-07 09:20:19	ga_ls8c_ard_3-0-0_091068_2014-11-06_final
2014-11-20 10:27:50	ga_ls8c_ard_3-0-0_102067_2014-11-20_final
2014-11-20 10:28:14	ga_ls8c_ard_3-0-0_102068_2014-11-20_final
2014-11-20 10:28:38	ga_ls8c_ard_3-0-0_102069_2014-11-20_final
2014-11-20 10:29:02	ga_ls8c_ard_3-0-0_102070_2014-11-20_final
2014-11-20 10:29:26	ga_ls8c_ard_3-0-0_102071_2014-11-20_final
2014-11-20 10:29:50	ga_ls8c_ard_3-0-0_102072_2014-11-20_final
2014-11-20 10:30:13	ga_ls8c_ard_3-0-0_102073_2014-11-20_final
2014-11-20 10:30:37	ga_ls8c_ard_3-0-0_102074_2014-11-20_final
2014-11-20 10:31:01	ga_ls8c_ard_3-0-0_102075_2014-11-20_final
2014-11-20 10:31:25	ga_ls8c_ard_3-0-0_102076_2014-11-20_final
2014-11-20 10:31:49	ga_ls8c_ard_3-0-0_102077_2014-11-20_final
2014-11-20 10:32:13	ga_ls8c_ard_3-0-0_102078_2014-11-20_final
2014-11-20 10:32:37	ga_ls8c_ard_3-0-0_102079_2014-11-20_final
2014-11-20 10:33:01	ga_ls8c_ard_3-0-0_102080_2014-11-20_final
2014-11-20 10:33:25	ga_ls8c_ard_3-0-0_102081_2014-11-20_final
2014-11-20 10:33:49	ga_ls8c_ard_3-0-0_102082_2014-11-20_final
2014-11-21 09:32:12	ga_ls8c_ard_3-0-0_093067_2014-11-21_final
2014-11-21 09:32:36	ga_ls8c_ard_3-0-0_093068_2014-11-21_final
2014-11-21 09:33:47	ga_ls8c_ard_3-0-0_093071_2014-11-21_final
2014-11-21 09:34:11	ga_ls8c_ard_3-0-0_093072_2014-11-21_final
2014-11-21 09:34:35	ga_ls8c_ard_3-0-0_093073_2014-11-21_final
2014-11-21 09:34:59	ga_ls8c_ard_3-0-0_093074_2014-11-21_final
2014-11-21 09:35:23	ga_ls8c_ard_3-0-0_093075_2014-11-21_final
2014-11-21 09:35:47	ga_ls8c_ard_3-0-0_093076_2014-11-21_final
2014-11-21 09:36:11	ga_ls8c_ard_3-0-0_093077_2014-11-21_final
2014-11-21 09:36:35	ga_ls8c_ard_3-0-0_093078_2014-11-21_final
2014-11-21 09:36:59	ga_ls8c_ard_3-0-0_093079_2014-11-21_final
2014-11-21 09:37:23	ga_ls8c_ard_3-0-0_093080_2014-11-21_final
2014-11-21 09:37:47	ga_ls8c_ard_3-0-0_093081_2014-11-21_final
2014-11-21 09:38:11	ga_ls8c_ard_3-0-0_093082_2014-11-21_final
2014-11-21 09:38:35	ga_ls8c_ard_3-0-0_093083_2014-11-21_final
2014-11-21 09:38:59	ga_ls8c_ard_3-0-0_093084_2014-11-21_final
2014-11-21 09:39:23	ga_ls8c_ard_3-0-0_093085_2014-11-21_final
2014-11-21 09:39:47	ga_ls8c_ard_3-0-0_093086_2014-11-21_final
2014-11-21 09:40:11	ga_ls8c_ard_3-0-0_093087_2014-11-21_final
2014-11-21 09:40:35	ga_ls8c_ard_3-0-0_093088_2014-11-21_final
2014-11-21 11:11:05	ga_ls8c_ard_3-0-0_109067_2014-11-21_final
2014-11-21 11:11:29	ga_ls8c_ard_3-0-0_109068_2014-11-21_final
2014-11-21 11:11:53	ga_ls8c_ard_3-0-0_109069_2014-11-21_final
2014-11-21 11:12:17	ga_ls8c_ard_3-0-0_109070_2014-11-21_final
2014-11-21 11:12:41	ga_ls8c_ard_3-0-0_109071_2014-11-21_final
2014-11-21 11:13:05	ga_ls8c_ard_3-0-0_109072_2014-11-21_final
2014-11-21 11:13:28	ga_ls8c_ard_3-0-0_109073_2014-11-21_final
2014-11-21 11:13:52	ga_ls8c_ard_3-0-0_109074_2014-11-21_final
2014-11-21 11:14:16	ga_ls8c_ard_3-1-0_109075_2014-11-21_final
2014-11-21 11:14:40	ga_ls8c_ard_3-0-0_109076_2014-11-21_final
2014-11-21 11:15:04	ga_ls8c_ard_3-0-0_109077_2014-11-21_final
2014-11-21 11:15:28	ga_ls8c_ard_3-0-0_109078_2014-11-21_final
2014-11-21 11:15:52	ga_ls8c_ard_3-0-0_109079_2014-11-21_final
2014-11-21 11:16:16	ga_ls8c_ard_3-0-0_109080_2014-11-21_final
2014-11-21 11:16:40	ga_ls8c_ard_3-0-0_109081_2014-11-21_final
2014-11-21 11:17:04	ga_ls8c_ard_3-0-0_109082_2014-11-21_final
2014-11-21 11:17:28	ga_ls8c_ard_3-0-0_109083_2014-11-21_final
2014-11-21 11:17:52	ga_ls8c_ard_3-0-0_109084_2014-11-21_final
2014-11-22 10:17:04	ga_ls8c_ard_3-0-0_100071_2014-11-22_final
2014-11-22 10:17:28	ga_ls8c_ard_3-0-0_100072_2014-11-22_final
2014-11-22 10:17:52	ga_ls8c_ard_3-0-0_100073_2014-11-22_final
2014-11-22 10:18:16	ga_ls8c_ard_3-0-0_100074_2014-11-22_final
2014-11-22 10:18:40	ga_ls8c_ard_3-0-0_100075_2014-11-22_final
2014-11-22 10:19:04	ga_ls8c_ard_3-0-0_100076_2014-11-22_final
2014-11-22 10:19:28	ga_ls8c_ard_3-0-0_100077_2014-11-22_final
2014-11-22 10:19:51	ga_ls8c_ard_3-0-0_100078_2014-11-22_final
2014-11-22 10:20:15	ga_ls8c_ard_3-0-0_100079_2014-11-22_final
2014-11-22 10:20:39	ga_ls8c_ard_3-0-0_100080_2014-11-22_final
2014-11-22 10:21:03	ga_ls8c_ard_3-0-0_100081_2014-11-22_final
2014-11-22 10:21:27	ga_ls8c_ard_3-0-0_100082_2014-11-22_final
2014-11-22 10:21:51	ga_ls8c_ard_3-0-0_100083_2014-11-22_final
2014-11-22 10:22:15	ga_ls8c_ard_3-0-0_100084_2014-11-22_final

Return to ga_ls8c_ard_3 across November 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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2014

November

All days