Search ga_ls8c_ard_3 across August 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
2014-08-17 09:33:43	ga_ls8c_ard_3-0-0_093071_2014-08-17_final
2014-08-17 09:34:07	ga_ls8c_ard_3-0-0_093072_2014-08-17_final
2014-08-17 09:34:31	ga_ls8c_ard_3-0-0_093073_2014-08-17_final
2014-08-17 09:34:55	ga_ls8c_ard_3-0-0_093074_2014-08-17_final
2014-08-17 09:35:18	ga_ls8c_ard_3-0-0_093075_2014-08-17_final
2014-08-17 09:35:42	ga_ls8c_ard_3-0-0_093076_2014-08-17_final
2014-08-17 09:36:06	ga_ls8c_ard_3-0-0_093077_2014-08-17_final
2014-08-17 09:36:30	ga_ls8c_ard_3-0-0_093078_2014-08-17_final
2014-08-17 09:36:54	ga_ls8c_ard_3-0-0_093079_2014-08-17_final
2014-08-17 09:37:18	ga_ls8c_ard_3-0-0_093080_2014-08-17_final
2014-08-17 09:37:42	ga_ls8c_ard_3-0-0_093081_2014-08-17_final
2014-08-17 09:38:06	ga_ls8c_ard_3-0-0_093082_2014-08-17_final
2014-08-17 09:38:30	ga_ls8c_ard_3-0-0_093083_2014-08-17_final
2014-08-17 09:38:54	ga_ls8c_ard_3-0-0_093084_2014-08-17_final
2014-08-17 09:39:18	ga_ls8c_ard_3-1-0_093085_2014-08-17_final
2014-08-17 09:39:42	ga_ls8c_ard_3-0-0_093086_2014-08-17_final
2014-08-17 09:40:06	ga_ls8c_ard_3-0-0_093087_2014-08-17_final
2014-08-17 09:40:30	ga_ls8c_ard_3-0-0_093088_2014-08-17_final
2014-08-17 11:11:00	ga_ls8c_ard_3-0-0_109067_2014-08-17_final
2014-08-17 11:11:24	ga_ls8c_ard_3-0-0_109068_2014-08-17_final
2014-08-17 11:11:48	ga_ls8c_ard_3-0-0_109069_2014-08-17_final
2014-08-17 11:12:12	ga_ls8c_ard_3-0-0_109070_2014-08-17_final
2014-08-17 11:12:36	ga_ls8c_ard_3-0-0_109071_2014-08-17_final
2014-08-17 11:13:00	ga_ls8c_ard_3-0-0_109072_2014-08-17_final
2014-08-17 11:13:24	ga_ls8c_ard_3-0-0_109073_2014-08-17_final
2014-08-17 11:13:48	ga_ls8c_ard_3-0-0_109074_2014-08-17_final
2014-08-17 11:14:11	ga_ls8c_ard_3-0-0_109075_2014-08-17_final
2014-08-17 11:14:35	ga_ls8c_ard_3-0-0_109076_2014-08-17_final
2014-08-17 11:14:59	ga_ls8c_ard_3-0-0_109077_2014-08-17_final
2014-08-17 11:15:23	ga_ls8c_ard_3-0-0_109078_2014-08-17_final
2014-08-17 11:15:47	ga_ls8c_ard_3-0-0_109079_2014-08-17_final
2014-08-17 11:16:11	ga_ls8c_ard_3-0-0_109080_2014-08-17_final
2014-08-17 11:16:35	ga_ls8c_ard_3-0-0_109081_2014-08-17_final
2014-08-17 11:16:59	ga_ls8c_ard_3-0-0_109082_2014-08-17_final
2014-08-17 11:17:23	ga_ls8c_ard_3-0-0_109083_2014-08-17_final
2014-08-17 11:17:47	ga_ls8c_ard_3-0-0_109084_2014-08-17_final
2014-08-18 10:16:59	ga_ls8c_ard_3-0-0_100071_2014-08-18_final
2014-08-18 10:17:23	ga_ls8c_ard_3-0-0_100072_2014-08-18_final
2014-08-18 10:17:46	ga_ls8c_ard_3-0-0_100073_2014-08-18_final
2014-08-18 10:18:10	ga_ls8c_ard_3-0-0_100074_2014-08-18_final
2014-08-18 10:18:34	ga_ls8c_ard_3-0-0_100075_2014-08-18_final
2014-08-18 10:18:58	ga_ls8c_ard_3-0-0_100076_2014-08-18_final
2014-08-18 10:19:22	ga_ls8c_ard_3-0-0_100077_2014-08-18_final
2014-08-18 10:19:46	ga_ls8c_ard_3-0-0_100078_2014-08-18_final
2014-08-18 10:20:10	ga_ls8c_ard_3-0-0_100079_2014-08-18_final
2014-08-18 10:20:34	ga_ls8c_ard_3-0-0_100080_2014-08-18_final
2014-08-18 10:20:58	ga_ls8c_ard_3-0-0_100081_2014-08-18_final
2014-08-18 10:21:22	ga_ls8c_ard_3-0-0_100082_2014-08-18_final
2014-08-18 10:21:46	ga_ls8c_ard_3-0-0_100083_2014-08-18_final
2014-08-18 10:22:10	ga_ls8c_ard_3-0-0_100084_2014-08-18_final
2014-08-19 09:20:10	ga_ls8c_ard_3-0-0_091068_2014-08-18_final
2014-08-19 09:21:45	ga_ls8c_ard_3-0-0_091072_2014-08-18_final
2014-08-19 09:22:09	ga_ls8c_ard_3-0-0_091073_2014-08-18_final
2014-08-19 09:22:33	ga_ls8c_ard_3-0-0_091074_2014-08-18_final
2014-08-19 09:22:57	ga_ls8c_ard_3-0-0_091075_2014-08-18_final
2014-08-19 09:23:21	ga_ls8c_ard_3-0-0_091076_2014-08-18_final
2014-08-19 09:23:45	ga_ls8c_ard_3-0-0_091077_2014-08-18_final
2014-08-19 09:24:09	ga_ls8c_ard_3-0-0_091078_2014-08-18_final
2014-08-19 09:24:33	ga_ls8c_ard_3-0-0_091079_2014-08-18_final
2014-08-19 09:24:57	ga_ls8c_ard_3-0-0_091080_2014-08-18_final
2014-08-19 09:25:21	ga_ls8c_ard_3-0-0_091081_2014-08-18_final
2014-08-19 09:25:45	ga_ls8c_ard_3-0-0_091082_2014-08-18_final
2014-08-19 09:26:09	ga_ls8c_ard_3-0-0_091083_2014-08-18_final
2014-08-19 09:26:33	ga_ls8c_ard_3-0-0_091084_2014-08-18_final
2014-08-19 09:26:57	ga_ls8c_ard_3-0-0_091085_2014-08-18_final
2014-08-19 09:27:21	ga_ls8c_ard_3-0-0_091086_2014-08-18_final
2014-08-19 09:27:45	ga_ls8c_ard_3-0-0_091087_2014-08-18_final
2014-08-19 09:28:08	ga_ls8c_ard_3-0-0_091088_2014-08-18_final
2014-08-19 09:28:32	ga_ls8c_ard_3-0-0_091089_2014-08-18_final
2014-08-19 09:28:56	ga_ls8c_ard_3-0-0_091090_2014-08-18_final
2014-08-19 10:58:39	ga_ls8c_ard_3-0-0_107067_2014-08-19_final
2014-08-19 10:59:50	ga_ls8c_ard_3-0-0_107070_2014-08-19_final
2014-08-19 11:00:14	ga_ls8c_ard_3-0-0_107071_2014-08-19_final
2014-08-19 11:00:38	ga_ls8c_ard_3-0-0_107072_2014-08-19_final
2014-08-19 11:01:02	ga_ls8c_ard_3-0-0_107073_2014-08-19_final
2014-08-19 11:01:26	ga_ls8c_ard_3-0-0_107074_2014-08-19_final
2014-08-19 11:01:50	ga_ls8c_ard_3-0-0_107075_2014-08-19_final
2014-08-19 11:02:14	ga_ls8c_ard_3-0-0_107076_2014-08-19_final
2014-08-19 11:02:38	ga_ls8c_ard_3-0-0_107077_2014-08-19_final
2014-08-19 11:03:02	ga_ls8c_ard_3-0-0_107078_2014-08-19_final
2014-08-19 11:03:26	ga_ls8c_ard_3-0-0_107079_2014-08-19_final
2014-08-19 11:03:50	ga_ls8c_ard_3-0-0_107080_2014-08-19_final
2014-08-19 11:04:14	ga_ls8c_ard_3-0-0_107081_2014-08-19_final
2014-08-19 11:04:38	ga_ls8c_ard_3-0-0_107082_2014-08-19_final
2014-08-19 11:05:02	ga_ls8c_ard_3-0-0_107083_2014-08-19_final
2014-08-19 11:05:26	ga_ls8c_ard_3-0-0_107084_2014-08-19_final
2014-08-28 09:16:46	ga_ls8c_ard_3-0-0_090075_2014-08-27_final
2014-08-28 09:17:10	ga_ls8c_ard_3-0-0_090076_2014-08-27_final
2014-08-28 09:17:34	ga_ls8c_ard_3-0-0_090077_2014-08-27_final
2014-08-28 09:17:58	ga_ls8c_ard_3-0-0_090078_2014-08-27_final
2014-08-28 09:18:22	ga_ls8c_ard_3-0-0_090079_2014-08-27_final
2014-08-28 09:18:46	ga_ls8c_ard_3-0-0_090080_2014-08-27_final
2014-08-28 09:19:10	ga_ls8c_ard_3-0-0_090081_2014-08-27_final
2014-08-28 09:19:34	ga_ls8c_ard_3-0-0_090082_2014-08-27_final
2014-08-28 09:19:58	ga_ls8c_ard_3-0-0_090083_2014-08-27_final
2014-08-28 09:20:22	ga_ls8c_ard_3-0-0_090084_2014-08-27_final
2014-08-28 09:20:46	ga_ls8c_ard_3-0-0_090085_2014-08-27_final
2014-08-28 09:21:10	ga_ls8c_ard_3-0-0_090086_2014-08-27_final
2014-08-28 09:21:34	ga_ls8c_ard_3-0-0_090087_2014-08-27_final
2014-08-28 09:21:58	ga_ls8c_ard_3-0-0_090088_2014-08-27_final

Return to ga_ls8c_ard_3 across August 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

August

All days