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

66 results

Time (local)	Label
2021-08-19 10:27:50	ga_ls8c_ard_3-2-0_102067_2021-08-19_final
2021-08-19 10:28:14	ga_ls8c_ard_3-2-0_102068_2021-08-19_final
2021-08-19 10:28:38	ga_ls8c_ard_3-2-0_102069_2021-08-19_final
2021-08-19 10:29:50	ga_ls8c_ard_3-2-0_102072_2021-08-19_final
2021-08-19 10:30:14	ga_ls8c_ard_3-2-0_102073_2021-08-19_final
2021-08-19 10:30:38	ga_ls8c_ard_3-2-0_102074_2021-08-19_final
2021-08-19 10:31:02	ga_ls8c_ard_3-2-0_102075_2021-08-19_final
2021-08-19 10:31:26	ga_ls8c_ard_3-2-0_102076_2021-08-19_final
2021-08-19 10:31:49	ga_ls8c_ard_3-2-0_102077_2021-08-19_final
2021-08-19 10:32:13	ga_ls8c_ard_3-2-0_102078_2021-08-19_final
2021-08-19 10:32:37	ga_ls8c_ard_3-2-0_102079_2021-08-19_final
2021-08-19 10:33:01	ga_ls8c_ard_3-2-0_102080_2021-08-19_final
2021-08-19 10:33:25	ga_ls8c_ard_3-2-0_102081_2021-08-19_final
2021-08-19 10:33:49	ga_ls8c_ard_3-2-0_102082_2021-08-19_final
2021-08-20 09:36:12	ga_ls8c_ard_3-2-0_093077_2021-08-20_final
2021-08-20 11:12:18	ga_ls8c_ard_3-2-0_109070_2021-08-20_final
2021-08-20 11:12:42	ga_ls8c_ard_3-2-0_109071_2021-08-20_final
2021-08-20 11:13:06	ga_ls8c_ard_3-2-0_109072_2021-08-20_final
2021-08-20 11:13:30	ga_ls8c_ard_3-2-0_109073_2021-08-20_final
2021-08-20 11:13:54	ga_ls8c_ard_3-2-0_109074_2021-08-20_final
2021-08-20 11:14:18	ga_ls8c_ard_3-2-0_109075_2021-08-20_final
2021-08-20 11:14:41	ga_ls8c_ard_3-2-0_109076_2021-08-20_final
2021-08-20 11:15:05	ga_ls8c_ard_3-2-0_109077_2021-08-20_final
2021-08-20 11:15:29	ga_ls8c_ard_3-2-0_109078_2021-08-20_final
2021-08-20 11:15:53	ga_ls8c_ard_3-2-0_109079_2021-08-20_final
2021-08-20 11:16:17	ga_ls8c_ard_3-2-0_109080_2021-08-20_final
2021-08-20 11:16:41	ga_ls8c_ard_3-2-0_109081_2021-08-20_final
2021-08-20 11:17:05	ga_ls8c_ard_3-2-0_109082_2021-08-20_final
2021-08-20 11:17:29	ga_ls8c_ard_3-2-0_109083_2021-08-20_final
2021-08-20 11:18:17	ga_ls8c_ard_3-2-0_109085_2021-08-20_final
2021-08-21 10:18:17	ga_ls8c_ard_3-2-0_100074_2021-08-21_final
2021-08-21 10:19:04	ga_ls8c_ard_3-2-0_100076_2021-08-21_final
2021-08-21 10:19:28	ga_ls8c_ard_3-2-0_100077_2021-08-21_final
2021-08-21 10:21:04	ga_ls8c_ard_3-2-0_100081_2021-08-21_final
2021-08-21 10:21:52	ga_ls8c_ard_3-2-0_100083_2021-08-21_final
2021-08-21 10:22:16	ga_ls8c_ard_3-2-0_100084_2021-08-21_final
2021-08-21 11:57:10	ga_ls8c_ard_3-2-0_116074_2021-08-21_final
2021-08-21 11:57:34	ga_ls8c_ard_3-2-0_116075_2021-08-21_final
2021-08-21 11:57:58	ga_ls8c_ard_3-2-0_116076_2021-08-21_final
2021-08-21 11:58:21	ga_ls8c_ard_3-2-0_116077_2021-08-21_final
2021-08-21 11:58:45	ga_ls8c_ard_3-2-0_116078_2021-08-21_final
2021-08-22 09:24:39	ga_ls8c_ard_3-2-0_091079_2021-08-21_final
2021-08-22 09:25:51	ga_ls8c_ard_3-2-0_091082_2021-08-21_final
2021-08-22 09:27:03	ga_ls8c_ard_3-2-0_091085_2021-08-21_final
2021-08-22 09:27:27	ga_ls8c_ard_3-2-0_091086_2021-08-21_final
2021-08-22 09:28:39	ga_ls8c_ard_3-2-0_091089_2021-08-21_final
2021-08-22 09:29:03	ga_ls8c_ard_3-2-0_091090_2021-08-21_final
2021-08-22 10:58:45	ga_ls8c_ard_3-2-0_107067_2021-08-22_final
2021-08-22 10:59:09	ga_ls8c_ard_3-2-0_107068_2021-08-22_final
2021-08-22 10:59:33	ga_ls8c_ard_3-2-0_107069_2021-08-22_final
2021-08-22 10:59:57	ga_ls8c_ard_3-2-0_107070_2021-08-22_final
2021-08-22 11:00:21	ga_ls8c_ard_3-2-0_107071_2021-08-22_final
2021-08-22 11:00:45	ga_ls8c_ard_3-2-0_107072_2021-08-22_final
2021-08-22 11:01:09	ga_ls8c_ard_3-2-0_107073_2021-08-22_final
2021-08-22 11:01:32	ga_ls8c_ard_3-2-0_107074_2021-08-22_final
2021-08-22 11:01:56	ga_ls8c_ard_3-2-0_107075_2021-08-22_final
2021-08-22 11:02:20	ga_ls8c_ard_3-2-0_107076_2021-08-22_final
2021-08-22 11:02:44	ga_ls8c_ard_3-2-0_107077_2021-08-22_final
2021-08-22 11:03:08	ga_ls8c_ard_3-2-0_107078_2021-08-22_final
2021-08-22 11:03:32	ga_ls8c_ard_3-2-0_107079_2021-08-22_final
2021-08-22 11:03:56	ga_ls8c_ard_3-2-0_107080_2021-08-22_final
2021-08-22 11:04:20	ga_ls8c_ard_3-2-0_107081_2021-08-22_final
2021-08-22 11:04:44	ga_ls8c_ard_3-2-0_107082_2021-08-22_final
2021-08-22 11:05:08	ga_ls8c_ard_3-2-0_107083_2021-08-22_final
2021-08-22 11:05:32	ga_ls8c_ard_3-2-0_107084_2021-08-22_final
2021-08-22 11:05:56	ga_ls8c_ard_3-2-0_107085_2021-08-22_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