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

75 results

Time (local)	Label
2020-06-07 11:05:55	ga_ls8c_ard_3-1-0_108071_2020-06-07_final
2020-07-09 11:05:23	ga_ls8c_ard_3-1-0_108069_2020-07-09_final
2020-07-09 11:05:47	ga_ls8c_ard_3-1-0_108070_2020-07-09_final
2020-07-09 11:06:11	ga_ls8c_ard_3-1-0_108071_2020-07-09_final
2020-07-09 11:06:35	ga_ls8c_ard_3-1-0_108072_2020-07-09_final
2020-07-09 11:06:59	ga_ls8c_ard_3-1-0_108073_2020-07-09_final
2020-07-09 11:07:23	ga_ls8c_ard_3-1-0_108074_2020-07-09_final
2020-07-09 11:07:47	ga_ls8c_ard_3-1-0_108075_2020-07-09_final
2020-07-09 11:08:11	ga_ls8c_ard_3-1-0_108076_2020-07-09_final
2020-07-09 11:08:35	ga_ls8c_ard_3-1-0_108077_2020-07-09_final
2020-07-09 11:08:58	ga_ls8c_ard_3-1-0_108078_2020-07-09_final
2020-07-09 11:10:34	ga_ls8c_ard_3-1-0_108082_2020-07-09_final
2020-07-11 10:54:14	ga_ls8c_ard_3-1-0_106072_2020-07-11_final
2020-07-11 10:54:38	ga_ls8c_ard_3-1-0_106073_2020-07-11_final
2020-07-11 10:55:02	ga_ls8c_ard_3-1-0_106074_2020-07-11_final
2020-07-11 10:55:26	ga_ls8c_ard_3-1-0_106075_2020-07-11_final
2020-07-11 10:57:02	ga_ls8c_ard_3-1-0_106079_2020-07-11_final
2020-07-11 10:57:25	ga_ls8c_ard_3-1-0_106080_2020-07-11_final
2020-07-11 10:57:49	ga_ls8c_ard_3-1-0_106081_2020-07-11_final
2020-07-11 10:58:13	ga_ls8c_ard_3-1-0_106082_2020-07-11_final
2020-07-16 11:12:00	ga_ls8c_ard_3-1-0_109070_2020-07-16_final
2020-07-18 10:59:39	ga_ls8c_ard_3-1-0_107070_2020-07-18_final
2020-07-18 11:00:27	ga_ls8c_ard_3-1-0_107072_2020-07-18_final
2020-07-18 11:01:15	ga_ls8c_ard_3-1-0_107074_2020-07-18_final
2020-07-18 11:01:39	ga_ls8c_ard_3-1-0_107075_2020-07-18_final
2020-07-18 11:02:27	ga_ls8c_ard_3-1-0_107077_2020-07-18_final
2020-07-18 11:02:51	ga_ls8c_ard_3-1-0_107078_2020-07-18_final
2020-07-18 11:03:15	ga_ls8c_ard_3-1-0_107079_2020-07-18_final
2020-07-18 11:03:39	ga_ls8c_ard_3-1-0_107080_2020-07-18_final
2020-07-18 11:04:03	ga_ls8c_ard_3-1-0_107081_2020-07-18_final
2020-07-18 11:04:27	ga_ls8c_ard_3-1-0_107082_2020-07-18_final
2020-07-18 11:04:51	ga_ls8c_ard_3-1-0_107083_2020-07-18_final
2020-07-18 11:05:14	ga_ls8c_ard_3-1-0_107084_2020-07-18_final
2020-07-20 10:50:30	ga_ls8c_ard_3-1-0_105078_2020-07-20_final
2020-07-20 10:50:54	ga_ls8c_ard_3-1-0_105079_2020-07-20_final
2020-07-20 10:51:42	ga_ls8c_ard_3-1-0_105081_2020-07-20_final
2020-07-25 11:04:40	ga_ls8c_ard_3-1-0_108067_2020-07-25_final
2020-07-25 11:05:04	ga_ls8c_ard_3-1-0_108068_2020-07-25_final
2020-07-25 11:05:52	ga_ls8c_ard_3-1-0_108070_2020-07-25_final
2020-07-25 11:06:16	ga_ls8c_ard_3-1-0_108071_2020-07-25_final
2020-07-25 11:06:40	ga_ls8c_ard_3-1-0_108072_2020-07-25_final
2020-07-25 11:07:04	ga_ls8c_ard_3-1-0_108073_2020-07-25_final
2020-07-25 11:07:28	ga_ls8c_ard_3-1-0_108074_2020-07-25_final
2020-07-25 11:08:16	ga_ls8c_ard_3-1-0_108076_2020-07-25_final
2020-07-25 11:08:40	ga_ls8c_ard_3-1-0_108077_2020-07-25_final
2020-07-25 11:11:27	ga_ls8c_ard_3-1-0_108084_2020-07-25_final
2020-07-25 11:11:51	ga_ls8c_ard_3-1-0_108085_2020-07-25_final
2020-07-27 10:54:43	ga_ls8c_ard_3-1-0_106073_2020-07-27_final
2020-07-27 10:55:07	ga_ls8c_ard_3-1-0_106074_2020-07-27_final
2020-07-27 10:55:55	ga_ls8c_ard_3-1-0_106076_2020-07-27_final
2020-07-27 10:56:19	ga_ls8c_ard_3-1-0_106077_2020-07-27_final
2020-07-27 10:56:42	ga_ls8c_ard_3-1-0_106078_2020-07-27_final
2020-07-27 10:57:06	ga_ls8c_ard_3-1-0_106079_2020-07-27_final
2020-07-27 10:58:42	ga_ls8c_ard_3-1-0_106083_2020-07-27_final
2020-07-27 10:59:06	ga_ls8c_ard_3-1-0_106084_2020-07-27_final
2020-08-01 11:10:53	ga_ls8c_ard_3-1-0_109067_2020-08-01_final
2020-08-01 11:11:17	ga_ls8c_ard_3-1-0_109068_2020-08-01_final
2020-08-01 11:11:41	ga_ls8c_ard_3-1-0_109069_2020-08-01_final
2020-08-03 10:58:32	ga_ls8c_ard_3-1-0_107067_2020-08-03_final
2020-08-03 10:59:19	ga_ls8c_ard_3-1-0_107069_2020-08-03_final
2020-08-03 10:59:43	ga_ls8c_ard_3-1-0_107070_2020-08-03_final
2020-08-03 11:00:07	ga_ls8c_ard_3-1-0_107071_2020-08-03_final
2020-08-03 11:00:31	ga_ls8c_ard_3-1-0_107072_2020-08-03_final
2020-08-03 11:00:55	ga_ls8c_ard_3-1-0_107073_2020-08-03_final
2020-08-03 11:01:19	ga_ls8c_ard_3-1-0_107074_2020-08-03_final
2020-08-03 11:01:43	ga_ls8c_ard_3-1-0_107075_2020-08-03_final
2020-08-03 11:02:07	ga_ls8c_ard_3-1-0_107076_2020-08-03_final
2020-08-03 11:02:31	ga_ls8c_ard_3-1-0_107077_2020-08-03_final
2020-08-03 11:02:55	ga_ls8c_ard_3-1-0_107078_2020-08-03_final
2020-08-03 11:03:19	ga_ls8c_ard_3-1-0_107079_2020-08-03_final
2020-08-03 11:03:43	ga_ls8c_ard_3-1-0_107080_2020-08-03_final
2020-08-03 11:04:07	ga_ls8c_ard_3-1-0_107081_2020-08-03_final
2020-08-03 11:04:31	ga_ls8c_ard_3-1-0_107082_2020-08-03_final
2020-08-03 11:04:55	ga_ls8c_ard_3-1-0_107083_2020-08-03_final
2020-08-25 10:21:35	ga_ls8c_ard_3-1-0_101067_2020-08-25_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