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

83 results

Time (local)	Label
2020-07-11 10:52:38	ga_ls8c_ard_3-1-0_106068_2020-07-11_final
2020-07-11 10:53:02	ga_ls8c_ard_3-1-0_106069_2020-07-11_final
2020-07-11 10:53:26	ga_ls8c_ard_3-1-0_106070_2020-07-11_final
2020-07-11 10:53:50	ga_ls8c_ard_3-1-0_106071_2020-07-11_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 10:55:50	ga_ls8c_ard_3-1-0_106076_2020-07-11_final
2020-07-11 10:56:14	ga_ls8c_ard_3-1-0_106077_2020-07-11_final
2020-07-11 10:56:38	ga_ls8c_ard_3-1-0_106078_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
2020-07-11 10:58:37	ga_ls8c_ard_3-1-0_106083_2020-07-11_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 11:00:51	ga_ls8c_ard_3-1-0_107073_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 11:02:03	ga_ls8c_ard_3-1-0_107076_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 10:51:18	ga_ls8c_ard_3-1-0_105080_2020-07-20_final
2020-07-20 10:51:42	ga_ls8c_ard_3-1-0_105081_2020-07-20_final
2020-07-20 10:52:06	ga_ls8c_ard_3-1-0_105082_2020-07-20_final
2020-07-20 10:52:29	ga_ls8c_ard_3-1-0_105083_2020-07-20_final
2020-07-25 11:05:04	ga_ls8c_ard_3-1-0_108068_2020-07-25_final
2020-07-25 11:05:28	ga_ls8c_ard_3-1-0_108069_2020-07-25_final
2020-07-27 10:52:19	ga_ls8c_ard_3-1-0_106067_2020-07-27_final
2020-07-27 10:52:43	ga_ls8c_ard_3-1-0_106068_2020-07-27_final
2020-07-27 10:53:07	ga_ls8c_ard_3-1-0_106069_2020-07-27_final
2020-07-27 10:53:55	ga_ls8c_ard_3-1-0_106071_2020-07-27_final
2020-07-27 10:54:19	ga_ls8c_ard_3-1-0_106072_2020-07-27_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 10:57:30	ga_ls8c_ard_3-1-0_106080_2020-07-27_final
2020-07-27 10:57:54	ga_ls8c_ard_3-1-0_106081_2020-07-27_final
2020-07-27 10:58:18	ga_ls8c_ard_3-1-0_106082_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
2020-08-03 10:58:32	ga_ls8c_ard_3-1-0_107067_2020-08-03_final
2020-08-03 10:58:55	ga_ls8c_ard_3-1-0_107068_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
2020-08-03 11:05:19	ga_ls8c_ard_3-1-0_107084_2020-08-03_final
2020-08-03 11:05:42	ga_ls8c_ard_3-1-0_107085_2020-08-03_final
2020-08-24 09:43:06	ga_ls8c_ard_3-1-0_094079_2020-08-24_final
2020-08-24 09:43:30	ga_ls8c_ard_3-1-0_094080_2020-08-24_final
2020-08-24 09:43:54	ga_ls8c_ard_3-1-0_094081_2020-08-24_final
2020-08-24 09:44:18	ga_ls8c_ard_3-1-0_094082_2020-08-24_final
2020-08-24 09:44:42	ga_ls8c_ard_3-1-0_094083_2020-08-24_final
2020-08-24 09:45:06	ga_ls8c_ard_3-1-0_094084_2020-08-24_final
2020-08-24 09:45:30	ga_ls8c_ard_3-1-0_094085_2020-08-24_final
2020-08-24 09:45:54	ga_ls8c_ard_3-1-0_094086_2020-08-24_final
2020-08-24 09:46:18	ga_ls8c_ard_3-1-0_094087_2020-08-24_final
2020-08-24 09:46:42	ga_ls8c_ard_3-1-0_094088_2020-08-24_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