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

First 100 results (query limit)

Time (local)	Label
2017-03-18 11:12:37	ga_ls8c_ard_3-0-0_109072_2017-03-18_final
2017-03-18 11:13:01	ga_ls8c_ard_3-0-0_109073_2017-03-18_final
2017-03-18 11:13:25	ga_ls8c_ard_3-0-0_109074_2017-03-18_final
2017-03-18 11:13:49	ga_ls8c_ard_3-1-0_109075_2017-03-18_final
2017-03-18 11:14:13	ga_ls8c_ard_3-0-0_109076_2017-03-18_final
2017-03-18 11:14:37	ga_ls8c_ard_3-0-0_109077_2017-03-18_final
2017-03-20 11:03:49	ga_ls8c_ard_3-0-0_107081_2017-03-20_final
2017-03-20 11:04:13	ga_ls8c_ard_3-1-0_107082_2017-03-20_final
2017-03-20 11:04:37	ga_ls8c_ard_3-0-0_107083_2017-03-20_final
2017-03-20 11:05:01	ga_ls8c_ard_3-0-0_107084_2017-03-20_final
2017-03-20 11:05:25	ga_ls8c_ard_3-0-0_107085_2017-03-20_final
2017-05-07 11:03:29	ga_ls8c_ard_3-0-0_107081_2017-05-07_final
2017-05-07 11:03:53	ga_ls8c_ard_3-1-0_107082_2017-05-07_final
2017-05-07 11:04:17	ga_ls8c_ard_3-0-0_107083_2017-05-07_final
2017-05-07 11:04:41	ga_ls8c_ard_3-0-0_107084_2017-05-07_final
2017-05-07 11:05:05	ga_ls8c_ard_3-0-0_107085_2017-05-07_final
2017-05-12 11:16:30	ga_ls8c_ard_3-0-0_110067_2017-05-12_final
2017-05-12 11:16:54	ga_ls8c_ard_3-0-0_110068_2017-05-12_final
2017-05-12 11:17:18	ga_ls8c_ard_3-0-0_110069_2017-05-12_final
2017-05-12 11:17:42	ga_ls8c_ard_3-0-0_110070_2017-05-12_final
2017-05-12 11:18:06	ga_ls8c_ard_3-0-0_110071_2017-05-12_final
2017-05-12 11:18:30	ga_ls8c_ard_3-0-0_110072_2017-05-12_final
2017-05-12 11:18:54	ga_ls8c_ard_3-0-0_110073_2017-05-12_final
2017-05-14 11:07:46	ga_ls8c_ard_3-0-0_108076_2017-05-14_final
2017-05-14 11:08:09	ga_ls8c_ard_3-0-0_108077_2017-05-14_final
2017-05-14 11:08:33	ga_ls8c_ard_3-0-0_108078_2017-05-14_final
2017-05-14 11:08:57	ga_ls8c_ard_3-0-0_108079_2017-05-14_final
2017-05-14 11:09:21	ga_ls8c_ard_3-0-0_108080_2017-05-14_final
2017-05-14 11:09:45	ga_ls8c_ard_3-0-0_108081_2017-05-14_final
2017-05-14 11:10:09	ga_ls8c_ard_3-0-0_108082_2017-05-14_final
2017-05-16 10:58:37	ga_ls8c_ard_3-0-0_106084_2017-05-16_final
2017-06-24 11:03:31	ga_ls8c_ard_3-0-0_107080_2017-06-24_final
2017-06-24 11:03:54	ga_ls8c_ard_3-0-0_107081_2017-06-24_final
2017-06-24 11:04:18	ga_ls8c_ard_3-1-0_107082_2017-06-24_final
2017-06-24 11:04:42	ga_ls8c_ard_3-0-0_107083_2017-06-24_final
2017-06-24 11:05:06	ga_ls8c_ard_3-0-0_107084_2017-06-24_final
2017-06-24 11:05:30	ga_ls8c_ard_3-0-0_107085_2017-06-24_final
2017-06-29 11:16:53	ga_ls8c_ard_3-0-0_110067_2017-06-29_final
2017-06-29 11:17:17	ga_ls8c_ard_3-0-0_110068_2017-06-29_final
2017-06-29 11:17:41	ga_ls8c_ard_3-0-0_110069_2017-06-29_final
2017-06-29 11:18:05	ga_ls8c_ard_3-0-0_110070_2017-06-29_final
2017-06-29 11:18:29	ga_ls8c_ard_3-0-0_110071_2017-06-29_final
2017-06-29 11:18:53	ga_ls8c_ard_3-0-0_110072_2017-06-29_final
2017-06-29 11:19:17	ga_ls8c_ard_3-0-0_110073_2017-06-29_final
2017-07-01 11:08:07	ga_ls8c_ard_3-0-0_108076_2017-07-01_final
2017-07-01 11:08:31	ga_ls8c_ard_3-0-0_108077_2017-07-01_final
2017-07-01 11:08:55	ga_ls8c_ard_3-0-0_108078_2017-07-01_final
2017-07-01 11:09:19	ga_ls8c_ard_3-0-0_108079_2017-07-01_final
2017-07-01 11:09:43	ga_ls8c_ard_3-0-0_108080_2017-07-01_final
2017-07-01 11:10:07	ga_ls8c_ard_3-0-0_108081_2017-07-01_final
2017-07-01 11:10:31	ga_ls8c_ard_3-0-0_108082_2017-07-01_final
2017-07-03 10:58:57	ga_ls8c_ard_3-0-0_106084_2017-07-03_final
2017-07-10 11:03:58	ga_ls8c_ard_3-0-0_107081_2017-07-10_final
2017-07-10 11:04:21	ga_ls8c_ard_3-1-0_107082_2017-07-10_final
2017-07-10 11:04:45	ga_ls8c_ard_3-0-0_107083_2017-07-10_final
2017-07-10 11:05:09	ga_ls8c_ard_3-0-0_107084_2017-07-10_final
2017-07-17 11:08:11	ga_ls8c_ard_3-0-0_108076_2017-07-17_final
2017-07-17 11:08:35	ga_ls8c_ard_3-0-0_108077_2017-07-17_final
2017-07-17 11:08:59	ga_ls8c_ard_3-0-0_108078_2017-07-17_final
2017-07-17 11:09:23	ga_ls8c_ard_3-0-0_108079_2017-07-17_final
2017-07-17 11:09:47	ga_ls8c_ard_3-0-0_108080_2017-07-17_final
2017-07-17 11:10:11	ga_ls8c_ard_3-0-0_108081_2017-07-17_final
2017-07-17 11:10:35	ga_ls8c_ard_3-0-0_108082_2017-07-17_final
2017-07-19 10:59:02	ga_ls8c_ard_3-0-0_106084_2017-07-19_final
2017-08-25 11:13:01	ga_ls8c_ard_3-0-0_109072_2017-08-25_final
2017-08-25 11:13:25	ga_ls8c_ard_3-0-0_109073_2017-08-25_final
2017-08-25 11:13:49	ga_ls8c_ard_3-0-0_109074_2017-08-25_final
2017-08-25 11:14:13	ga_ls8c_ard_3-0-0_109075_2017-08-25_final
2017-08-25 11:14:37	ga_ls8c_ard_3-0-0_109076_2017-08-25_final
2017-08-25 11:15:01	ga_ls8c_ard_3-0-0_109077_2017-08-25_final
2017-08-27 11:03:51	ga_ls8c_ard_3-0-0_107080_2017-08-27_final
2017-08-27 11:04:15	ga_ls8c_ard_3-0-0_107081_2017-08-27_final
2017-08-27 11:04:39	ga_ls8c_ard_3-1-0_107082_2017-08-27_final
2017-08-27 11:05:03	ga_ls8c_ard_3-0-0_107083_2017-08-27_final
2017-08-27 11:05:27	ga_ls8c_ard_3-0-0_107084_2017-08-27_final
2017-08-27 11:05:51	ga_ls8c_ard_3-0-0_107085_2017-08-27_final
2021-09-23 11:04:27	ga_ls8c_ard_3-2-0_107081_2021-09-23_final
2021-09-23 11:04:51	ga_ls8c_ard_3-2-0_107082_2021-09-23_final
2021-09-23 11:05:15	ga_ls8c_ard_3-2-0_107083_2021-09-23_final
2021-09-23 11:05:39	ga_ls8c_ard_3-2-0_107084_2021-09-23_final
2021-09-23 11:06:03	ga_ls8c_ard_3-2-0_107085_2021-09-23_final
2021-09-28 11:17:27	ga_ls8c_ard_3-2-0_110067_2021-09-28_final
2021-09-28 11:17:51	ga_ls8c_ard_3-2-0_110068_2021-09-28_final
2021-09-28 11:18:15	ga_ls8c_ard_3-2-0_110069_2021-09-28_final
2021-09-28 11:18:39	ga_ls8c_ard_3-2-0_110070_2021-09-28_final
2021-09-28 11:19:03	ga_ls8c_ard_3-2-0_110071_2021-09-28_final
2021-09-28 11:19:27	ga_ls8c_ard_3-2-0_110072_2021-09-28_final
2021-09-28 11:19:51	ga_ls8c_ard_3-2-0_110073_2021-09-28_final
2021-10-09 11:04:10	ga_ls8c_ard_3-2-0_107080_2021-10-09_final
2021-10-09 11:04:33	ga_ls8c_ard_3-2-0_107081_2021-10-09_final
2021-10-09 11:04:57	ga_ls8c_ard_3-2-0_107082_2021-10-09_final
2021-10-09 11:05:21	ga_ls8c_ard_3-2-0_107083_2021-10-09_final
2021-10-09 11:05:45	ga_ls8c_ard_3-2-0_107084_2021-10-09_final
2021-10-09 11:06:09	ga_ls8c_ard_3-2-0_107085_2021-10-09_final
2021-10-14 11:17:32	ga_ls8c_ard_3-2-0_110067_2021-10-14_final
2021-10-14 11:17:56	ga_ls8c_ard_3-2-0_110068_2021-10-14_final
2021-10-14 11:18:20	ga_ls8c_ard_3-2-0_110069_2021-10-14_final
2021-10-14 11:18:44	ga_ls8c_ard_3-2-0_110070_2021-10-14_final
2021-10-14 11:19:08	ga_ls8c_ard_3-2-0_110071_2021-10-14_final
2021-10-14 11:19:32	ga_ls8c_ard_3-2-0_110072_2021-10-14_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