Search ga_ls8c_ard_3 whole collection

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

86 results

Time (local)	Label
2021-11-25 10:15:40	ga_ls8c_ard_3-2-0_100067_2021-11-25_final
2021-11-25 10:16:04	ga_ls8c_ard_3-2-0_100068_2021-11-25_final
2021-11-25 10:16:28	ga_ls8c_ard_3-2-0_100069_2021-11-25_final
2021-11-25 10:16:51	ga_ls8c_ard_3-2-0_100070_2021-11-25_final
2021-11-25 10:17:15	ga_ls8c_ard_3-2-0_100071_2021-11-25_final
2021-11-25 10:17:39	ga_ls8c_ard_3-2-0_100072_2021-11-25_final
2021-11-25 10:18:03	ga_ls8c_ard_3-2-0_100073_2021-11-25_final
2021-11-25 10:18:27	ga_ls8c_ard_3-2-0_100074_2021-11-25_final
2021-11-25 10:18:51	ga_ls8c_ard_3-2-0_100075_2021-11-25_final
2021-11-25 10:19:15	ga_ls8c_ard_3-2-0_100076_2021-11-25_final
2021-11-25 10:19:39	ga_ls8c_ard_3-2-0_100077_2021-11-25_final
2021-11-25 10:20:03	ga_ls8c_ard_3-2-0_100078_2021-11-25_final
2021-11-25 10:20:27	ga_ls8c_ard_3-2-0_100079_2021-11-25_final
2021-11-25 10:20:51	ga_ls8c_ard_3-2-0_100080_2021-11-25_final
2021-11-25 10:21:15	ga_ls8c_ard_3-2-0_100081_2021-11-25_final
2021-11-25 10:21:39	ga_ls8c_ard_3-2-0_100082_2021-11-25_final
2021-11-25 10:22:03	ga_ls8c_ard_3-2-0_100083_2021-11-25_final
2021-11-25 10:22:27	ga_ls8c_ard_3-2-0_100084_2021-11-25_final
2021-11-25 10:22:51	ga_ls8c_ard_3-2-0_100085_2021-11-25_final
2021-11-25 11:57:20	ga_ls8c_ard_3-2-0_116074_2021-11-25_final
2021-11-25 11:57:44	ga_ls8c_ard_3-2-0_116075_2021-11-25_final
2021-11-25 11:58:08	ga_ls8c_ard_3-2-0_116076_2021-11-25_final
2021-11-25 11:58:32	ga_ls8c_ard_3-2-0_116077_2021-11-25_final
2021-11-25 11:58:56	ga_ls8c_ard_3-2-0_116078_2021-11-25_final
2021-11-26 09:20:26	ga_ls8c_ard_3-2-0_091068_2021-11-25_final
2021-11-26 09:22:02	ga_ls8c_ard_3-2-0_091072_2021-11-25_final
2021-11-26 09:22:26	ga_ls8c_ard_3-2-0_091073_2021-11-25_final
2021-11-26 09:22:50	ga_ls8c_ard_3-2-0_091074_2021-11-25_final
2021-11-26 09:23:14	ga_ls8c_ard_3-2-0_091075_2021-11-25_final
2021-11-26 09:23:38	ga_ls8c_ard_3-2-0_091076_2021-11-25_final
2021-11-26 09:24:02	ga_ls8c_ard_3-2-0_091077_2021-11-25_final
2021-11-26 09:24:26	ga_ls8c_ard_3-2-0_091078_2021-11-25_final
2021-11-26 09:24:50	ga_ls8c_ard_3-2-0_091079_2021-11-25_final
2021-11-26 09:25:14	ga_ls8c_ard_3-2-0_091080_2021-11-25_final
2021-11-26 09:25:38	ga_ls8c_ard_3-2-0_091081_2021-11-25_final
2021-11-26 09:26:02	ga_ls8c_ard_3-2-0_091082_2021-11-25_final
2021-11-26 09:26:26	ga_ls8c_ard_3-2-0_091083_2021-11-25_final
2021-11-26 09:26:50	ga_ls8c_ard_3-2-0_091084_2021-11-25_final
2021-11-26 09:27:13	ga_ls8c_ard_3-2-0_091085_2021-11-25_final
2021-11-26 09:27:37	ga_ls8c_ard_3-2-0_091086_2021-11-25_final
2021-11-26 09:28:01	ga_ls8c_ard_3-2-0_091087_2021-11-25_final
2021-11-26 09:28:25	ga_ls8c_ard_3-2-0_091088_2021-11-25_final
2021-11-26 09:28:49	ga_ls8c_ard_3-2-0_091089_2021-11-25_final
2021-11-26 09:29:13	ga_ls8c_ard_3-2-0_091090_2021-11-25_final
2021-11-26 09:29:37	ga_ls8c_ard_3-2-0_091091_2021-11-25_final
2021-11-26 11:00:31	ga_ls8c_ard_3-2-0_107071_2021-11-26_final
2021-11-26 11:00:55	ga_ls8c_ard_3-2-0_107072_2021-11-26_final
2021-11-26 11:01:19	ga_ls8c_ard_3-2-0_107073_2021-11-26_final
2021-11-26 11:01:43	ga_ls8c_ard_3-2-0_107074_2021-11-26_final
2021-11-26 11:02:07	ga_ls8c_ard_3-2-0_107075_2021-11-26_final
2021-11-26 11:02:31	ga_ls8c_ard_3-2-0_107076_2021-11-26_final
2021-11-26 11:02:55	ga_ls8c_ard_3-2-0_107077_2021-11-26_final
2021-11-26 11:03:19	ga_ls8c_ard_3-2-0_107078_2021-11-26_final
2021-11-26 11:03:43	ga_ls8c_ard_3-2-0_107079_2021-11-26_final
2021-11-26 11:04:07	ga_ls8c_ard_3-2-0_107080_2021-11-26_final
2021-11-26 11:04:31	ga_ls8c_ard_3-2-0_107081_2021-11-26_final
2021-11-26 11:04:55	ga_ls8c_ard_3-2-0_107082_2021-11-26_final
2021-11-26 11:05:19	ga_ls8c_ard_3-2-0_107083_2021-11-26_final
2021-11-26 11:05:43	ga_ls8c_ard_3-2-0_107084_2021-11-26_final
2021-11-27 10:03:18	ga_ls8c_ard_3-2-0_098067_2021-11-27_final
2021-11-27 10:03:42	ga_ls8c_ard_3-2-0_098068_2021-11-27_final
2021-11-27 10:04:06	ga_ls8c_ard_3-2-0_098069_2021-11-27_final
2021-11-27 10:04:30	ga_ls8c_ard_3-2-0_098070_2021-11-27_final
2021-11-27 10:04:54	ga_ls8c_ard_3-2-0_098071_2021-11-27_final
2021-11-27 10:05:18	ga_ls8c_ard_3-2-0_098072_2021-11-27_final
2021-11-27 10:05:42	ga_ls8c_ard_3-2-0_098073_2021-11-27_final
2021-11-27 10:06:06	ga_ls8c_ard_3-2-0_098074_2021-11-27_final
2021-11-27 10:06:30	ga_ls8c_ard_3-2-0_098075_2021-11-27_final
2021-11-27 10:06:54	ga_ls8c_ard_3-2-0_098076_2021-11-27_final
2021-11-27 10:07:18	ga_ls8c_ard_3-2-0_098077_2021-11-27_final
2021-11-27 10:07:42	ga_ls8c_ard_3-2-0_098078_2021-11-27_final
2021-11-27 10:08:06	ga_ls8c_ard_3-2-0_098079_2021-11-27_final
2021-11-27 10:08:30	ga_ls8c_ard_3-2-0_098080_2021-11-27_final
2021-11-27 10:08:53	ga_ls8c_ard_3-2-0_098081_2021-11-27_final
2021-11-27 10:09:17	ga_ls8c_ard_3-2-0_098082_2021-11-27_final
2021-11-27 10:09:41	ga_ls8c_ard_3-2-0_098083_2021-11-27_final
2021-11-27 10:10:05	ga_ls8c_ard_3-2-0_098084_2021-11-27_final
2021-11-27 10:10:29	ga_ls8c_ard_3-2-0_098085_2021-11-27_final
2021-11-27 10:10:53	ga_ls8c_ard_3-2-0_098086_2021-11-27_final
2021-11-27 11:42:11	ga_ls8c_ard_3-2-0_114067_2021-11-27_final
2021-11-27 11:45:23	ga_ls8c_ard_3-2-0_114075_2021-11-27_final
2021-11-27 11:46:11	ga_ls8c_ard_3-2-0_114077_2021-11-27_final
2021-11-27 11:46:35	ga_ls8c_ard_3-2-0_114078_2021-11-27_final
2021-11-27 11:46:59	ga_ls8c_ard_3-2-0_114079_2021-11-27_final
2021-11-27 11:47:23	ga_ls8c_ard_3-2-0_114080_2021-11-27_final
2021-11-27 11:47:47	ga_ls8c_ard_3-2-0_114081_2021-11-27_final

Return to ga_ls8c_ard_3 whole collection 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

All years