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

80 results

Time (local)	Label
2021-11-05 10:41:14	ga_ls8c_ard_3-2-0_104069_2021-11-05_final
2021-11-05 10:41:38	ga_ls8c_ard_3-2-0_104070_2021-11-05_final
2021-11-05 10:42:02	ga_ls8c_ard_3-2-0_104071_2021-11-05_final
2021-11-05 10:42:50	ga_ls8c_ard_3-2-0_104073_2021-11-05_final
2021-11-05 10:43:14	ga_ls8c_ard_3-2-0_104074_2021-11-05_final
2021-11-05 10:44:02	ga_ls8c_ard_3-2-0_104076_2021-11-05_final
2021-11-05 10:44:26	ga_ls8c_ard_3-2-0_104077_2021-11-05_final
2021-11-05 10:44:50	ga_ls8c_ard_3-2-0_104078_2021-11-05_final
2021-11-05 10:45:14	ga_ls8c_ard_3-2-0_104079_2021-11-05_final
2021-11-05 10:45:38	ga_ls8c_ard_3-2-0_104080_2021-11-05_final
2021-11-05 10:46:26	ga_ls8c_ard_3-2-0_104082_2021-11-05_final
2021-11-05 10:46:50	ga_ls8c_ard_3-2-0_104083_2021-11-05_final
2021-11-06 09:49:12	ga_ls8c_ard_3-2-0_095078_2021-11-06_final
2021-11-06 09:50:24	ga_ls8c_ard_3-2-0_095081_2021-11-06_final
2021-11-06 11:29:17	ga_ls8c_ard_3-2-0_111081_2021-11-06_final
2021-11-06 11:30:05	ga_ls8c_ard_3-2-0_111083_2021-11-06_final
2021-11-06 11:30:29	ga_ls8c_ard_3-2-0_111084_2021-11-06_final
2021-11-06 11:30:53	ga_ls8c_ard_3-2-0_111085_2021-11-06_final
2021-11-07 10:28:28	ga_ls8c_ard_3-2-0_102068_2021-11-07_final
2021-11-07 10:29:40	ga_ls8c_ard_3-2-0_102071_2021-11-07_final
2021-11-07 10:30:04	ga_ls8c_ard_3-2-0_102072_2021-11-07_final
2021-11-07 10:30:28	ga_ls8c_ard_3-2-0_102073_2021-11-07_final
2021-11-07 10:30:52	ga_ls8c_ard_3-2-0_102074_2021-11-07_final
2021-11-07 10:31:16	ga_ls8c_ard_3-2-0_102075_2021-11-07_final
2021-11-07 10:31:40	ga_ls8c_ard_3-2-0_102076_2021-11-07_final
2021-11-07 10:32:04	ga_ls8c_ard_3-2-0_102077_2021-11-07_final
2021-11-07 10:32:28	ga_ls8c_ard_3-2-0_102078_2021-11-07_final
2021-11-07 10:32:52	ga_ls8c_ard_3-2-0_102079_2021-11-07_final
2021-11-07 10:33:16	ga_ls8c_ard_3-2-0_102080_2021-11-07_final
2021-11-07 10:33:39	ga_ls8c_ard_3-2-0_102081_2021-11-07_final
2021-11-08 09:34:02	ga_ls8c_ard_3-2-0_093071_2021-11-08_final
2021-11-08 09:34:26	ga_ls8c_ard_3-2-0_093072_2021-11-08_final
2021-11-08 09:34:50	ga_ls8c_ard_3-2-0_093073_2021-11-08_final
2021-11-08 09:38:02	ga_ls8c_ard_3-2-0_093081_2021-11-08_final
2021-11-08 09:39:14	ga_ls8c_ard_3-2-0_093084_2021-11-08_final
2021-11-08 11:11:20	ga_ls8c_ard_3-2-0_109067_2021-11-08_final
2021-11-08 11:12:08	ga_ls8c_ard_3-2-0_109069_2021-11-08_final
2021-11-08 11:12:32	ga_ls8c_ard_3-2-0_109070_2021-11-08_final
2021-11-09 10:15:42	ga_ls8c_ard_3-2-0_100067_2021-11-09_final
2021-11-09 10:16:06	ga_ls8c_ard_3-2-0_100068_2021-11-09_final
2021-11-09 10:16:30	ga_ls8c_ard_3-2-0_100069_2021-11-09_final
2021-11-09 10:16:54	ga_ls8c_ard_3-2-0_100070_2021-11-09_final
2021-11-09 10:17:18	ga_ls8c_ard_3-2-0_100071_2021-11-09_final
2021-11-09 10:17:42	ga_ls8c_ard_3-2-0_100072_2021-11-09_final
2021-11-09 10:18:06	ga_ls8c_ard_3-2-0_100073_2021-11-09_final
2021-11-09 10:18:30	ga_ls8c_ard_3-2-0_100074_2021-11-09_final
2021-11-09 10:18:54	ga_ls8c_ard_3-2-0_100075_2021-11-09_final
2021-11-09 10:19:17	ga_ls8c_ard_3-2-0_100076_2021-11-09_final
2021-11-09 10:19:41	ga_ls8c_ard_3-2-0_100077_2021-11-09_final
2021-11-09 10:20:05	ga_ls8c_ard_3-2-0_100078_2021-11-09_final
2021-11-09 10:20:29	ga_ls8c_ard_3-2-0_100079_2021-11-09_final
2021-11-09 10:20:53	ga_ls8c_ard_3-2-0_100080_2021-11-09_final
2021-11-09 10:21:17	ga_ls8c_ard_3-2-0_100081_2021-11-09_final
2021-11-09 10:21:41	ga_ls8c_ard_3-2-0_100082_2021-11-09_final
2021-11-09 10:22:05	ga_ls8c_ard_3-2-0_100083_2021-11-09_final
2021-11-09 10:22:29	ga_ls8c_ard_3-2-0_100084_2021-11-09_final
2021-11-09 10:22:53	ga_ls8c_ard_3-2-0_100085_2021-11-09_final
2021-11-09 11:57:23	ga_ls8c_ard_3-2-0_116074_2021-11-09_final
2021-11-09 11:57:47	ga_ls8c_ard_3-2-0_116075_2021-11-09_final
2021-11-09 11:58:11	ga_ls8c_ard_3-2-0_116076_2021-11-09_final
2021-11-09 11:58:34	ga_ls8c_ard_3-2-0_116077_2021-11-09_final
2021-11-09 11:58:58	ga_ls8c_ard_3-2-0_116078_2021-11-09_final
2021-11-10 09:20:28	ga_ls8c_ard_3-2-0_091068_2021-11-09_final
2021-11-10 09:22:04	ga_ls8c_ard_3-2-0_091072_2021-11-09_final
2021-11-10 09:22:28	ga_ls8c_ard_3-2-0_091073_2021-11-09_final
2021-11-10 09:22:52	ga_ls8c_ard_3-2-0_091074_2021-11-09_final
2021-11-10 09:23:16	ga_ls8c_ard_3-2-0_091075_2021-11-09_final
2021-11-10 09:23:40	ga_ls8c_ard_3-2-0_091076_2021-11-09_final
2021-11-10 09:24:04	ga_ls8c_ard_3-2-0_091077_2021-11-09_final
2021-11-10 09:24:28	ga_ls8c_ard_3-2-0_091078_2021-11-09_final
2021-11-10 09:24:52	ga_ls8c_ard_3-2-0_091079_2021-11-09_final
2021-11-10 09:25:40	ga_ls8c_ard_3-2-0_091081_2021-11-09_final
2021-11-10 09:26:03	ga_ls8c_ard_3-2-0_091082_2021-11-09_final
2021-11-10 09:26:27	ga_ls8c_ard_3-2-0_091083_2021-11-09_final
2021-11-10 09:26:51	ga_ls8c_ard_3-2-0_091084_2021-11-09_final
2021-11-10 09:28:03	ga_ls8c_ard_3-2-0_091087_2021-11-09_final
2021-11-10 09:28:27	ga_ls8c_ard_3-2-0_091088_2021-11-09_final
2021-11-10 09:28:51	ga_ls8c_ard_3-2-0_091089_2021-11-09_final
2021-11-10 09:29:15	ga_ls8c_ard_3-2-0_091090_2021-11-09_final
2021-11-10 09:29:39	ga_ls8c_ard_3-2-0_091091_2021-11-09_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years