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
2019-07-21 11:17:29	ga_ls8c_ard_3-1-0_110068_2019-07-21_final
2019-07-21 11:17:53	ga_ls8c_ard_3-1-0_110069_2019-07-21_final
2019-07-21 11:18:17	ga_ls8c_ard_3-1-0_110070_2019-07-21_final
2019-07-21 11:18:41	ga_ls8c_ard_3-1-0_110071_2019-07-21_final
2019-07-21 11:19:05	ga_ls8c_ard_3-1-0_110072_2019-07-21_final
2019-07-21 11:19:29	ga_ls8c_ard_3-1-0_110073_2019-07-21_final
2019-07-21 11:19:52	ga_ls8c_ard_3-1-0_110074_2019-07-21_final
2019-07-23 11:08:44	ga_ls8c_ard_3-1-0_108077_2019-07-23_final
2019-07-23 11:09:08	ga_ls8c_ard_3-1-0_108078_2019-07-23_final
2019-07-23 11:09:32	ga_ls8c_ard_3-1-0_108079_2019-07-23_final
2019-07-23 11:09:55	ga_ls8c_ard_3-1-0_108080_2019-07-23_final
2019-07-23 11:10:19	ga_ls8c_ard_3-1-0_108081_2019-07-23_final
2019-07-23 11:10:43	ga_ls8c_ard_3-1-0_108082_2019-07-23_final
2019-07-23 11:11:07	ga_ls8c_ard_3-1-0_108083_2019-07-23_final
2019-08-06 11:17:36	ga_ls8c_ard_3-1-0_110068_2019-08-06_final
2019-08-06 11:18:00	ga_ls8c_ard_3-1-0_110069_2019-08-06_final
2019-08-06 11:18:24	ga_ls8c_ard_3-1-0_110070_2019-08-06_final
2019-08-06 11:18:48	ga_ls8c_ard_3-1-0_110071_2019-08-06_final
2019-08-06 11:19:11	ga_ls8c_ard_3-1-0_110072_2019-08-06_final
2019-08-06 11:19:35	ga_ls8c_ard_3-1-0_110073_2019-08-06_final
2019-08-06 11:19:59	ga_ls8c_ard_3-1-0_110074_2019-08-06_final
2019-08-08 11:08:50	ga_ls8c_ard_3-1-0_108077_2019-08-08_final
2019-08-08 11:09:14	ga_ls8c_ard_3-1-0_108078_2019-08-08_final
2019-08-08 11:09:38	ga_ls8c_ard_3-1-0_108079_2019-08-08_final
2019-08-08 11:10:02	ga_ls8c_ard_3-1-0_108080_2019-08-08_final
2019-08-08 11:10:26	ga_ls8c_ard_3-1-0_108081_2019-08-08_final
2019-08-08 11:10:50	ga_ls8c_ard_3-1-0_108082_2019-08-08_final
2019-08-08 11:11:14	ga_ls8c_ard_3-1-0_108083_2019-08-08_final
2021-01-06 11:23:32	ga_ls8c_ard_3-2-0_111067_2021-01-06_final
2021-01-06 11:23:56	ga_ls8c_ard_3-2-0_111068_2021-01-06_final
2021-01-06 11:24:20	ga_ls8c_ard_3-2-0_111069_2021-01-06_final
2021-03-06 11:08:41	ga_ls8c_ard_3-2-0_108077_2021-03-06_final
2021-03-06 11:09:05	ga_ls8c_ard_3-2-0_108078_2021-03-06_final
2021-03-06 11:09:29	ga_ls8c_ard_3-2-0_108079_2021-03-06_final
2021-03-06 11:09:53	ga_ls8c_ard_3-2-0_108080_2021-03-06_final
2021-03-06 11:10:17	ga_ls8c_ard_3-2-0_108081_2021-03-06_final
2021-03-06 11:10:41	ga_ls8c_ard_3-2-0_108082_2021-03-06_final
2021-03-06 11:11:05	ga_ls8c_ard_3-2-0_108083_2021-03-06_final
2021-03-11 11:23:11	ga_ls8c_ard_3-2-0_111067_2021-03-11_final
2021-03-11 11:23:35	ga_ls8c_ard_3-2-0_111068_2021-03-11_final
2021-03-11 11:23:59	ga_ls8c_ard_3-2-0_111069_2021-03-11_final
2021-03-13 11:13:12	ga_ls8c_ard_3-2-0_109073_2021-03-13_final
2021-03-13 11:13:36	ga_ls8c_ard_3-2-0_109074_2021-03-13_final
2021-03-13 11:14:00	ga_ls8c_ard_3-2-0_109075_2021-03-13_final
2021-03-13 11:14:24	ga_ls8c_ard_3-2-0_109076_2021-03-13_final
2021-03-13 11:14:48	ga_ls8c_ard_3-2-0_109077_2021-03-13_final
2021-03-13 11:15:12	ga_ls8c_ard_3-2-0_109078_2021-03-13_final
2021-03-13 11:15:36	ga_ls8c_ard_3-2-0_109079_2021-03-13_final
2021-03-15 11:04:24	ga_ls8c_ard_3-2-0_107082_2021-03-15_final
2021-03-15 11:04:48	ga_ls8c_ard_3-2-0_107083_2021-03-15_final
2021-03-15 11:05:12	ga_ls8c_ard_3-2-0_107084_2021-03-15_final
2021-03-15 11:05:36	ga_ls8c_ard_3-2-0_107085_2021-03-15_final
2021-05-14 11:22:52	ga_ls8c_ard_3-2-0_111067_2021-05-14_final
2021-05-14 11:23:16	ga_ls8c_ard_3-2-0_111068_2021-05-14_final
2021-05-14 11:23:40	ga_ls8c_ard_3-2-0_111069_2021-05-14_final
2021-05-16 11:12:55	ga_ls8c_ard_3-2-0_109073_2021-05-16_final
2021-05-16 11:13:19	ga_ls8c_ard_3-2-0_109074_2021-05-16_final
2021-05-16 11:13:43	ga_ls8c_ard_3-2-0_109075_2021-05-16_final
2021-05-16 11:14:07	ga_ls8c_ard_3-2-0_109076_2021-05-16_final
2021-05-16 11:14:31	ga_ls8c_ard_3-2-0_109077_2021-05-16_final
2021-05-16 11:14:55	ga_ls8c_ard_3-2-0_109078_2021-05-16_final
2021-05-18 11:03:46	ga_ls8c_ard_3-2-0_107081_2021-05-18_final
2021-05-18 11:04:10	ga_ls8c_ard_3-2-0_107082_2021-05-18_final
2021-05-18 11:04:34	ga_ls8c_ard_3-2-0_107083_2021-05-18_final
2021-05-18 11:04:58	ga_ls8c_ard_3-2-0_107084_2021-05-18_final
2021-05-18 11:05:22	ga_ls8c_ard_3-2-0_107085_2021-05-18_final
2021-05-23 11:17:35	ga_ls8c_ard_3-2-0_110069_2021-05-23_final
2021-05-23 11:18:46	ga_ls8c_ard_3-2-0_110072_2021-05-23_final
2021-05-23 11:19:10	ga_ls8c_ard_3-2-0_110073_2021-05-23_final
2021-05-25 11:08:26	ga_ls8c_ard_3-2-0_108077_2021-05-25_final
2021-05-25 11:09:13	ga_ls8c_ard_3-2-0_108079_2021-05-25_final
2021-05-25 11:09:37	ga_ls8c_ard_3-2-0_108080_2021-05-25_final
2021-05-25 11:10:01	ga_ls8c_ard_3-2-0_108081_2021-05-25_final
2021-05-25 11:10:25	ga_ls8c_ard_3-2-0_108082_2021-05-25_final
2021-05-30 11:23:01	ga_ls8c_ard_3-2-0_111067_2021-05-30_final
2021-05-30 11:23:25	ga_ls8c_ard_3-2-0_111068_2021-05-30_final
2021-05-30 11:23:49	ga_ls8c_ard_3-2-0_111069_2021-05-30_final
2023-12-07 11:18:00	ga_ls8c_ard_3-2-1_110069_2023-12-07_final
2023-12-07 11:18:24	ga_ls8c_ard_3-2-1_110070_2023-12-07_final
2023-12-07 11:18:48	ga_ls8c_ard_3-2-1_110071_2023-12-07_final
2023-12-07 11:19:11	ga_ls8c_ard_3-2-1_110072_2023-12-07_final
2023-12-07 11:19:35	ga_ls8c_ard_3-2-1_110073_2023-12-07_final
2023-12-07 11:19:59	ga_ls8c_ard_3-2-1_110074_2023-12-07_final
2023-12-09 11:08:51	ga_ls8c_ard_3-2-1_108077_2023-12-09_final
2023-12-09 11:09:15	ga_ls8c_ard_3-2-1_108078_2023-12-09_final
2023-12-09 11:09:39	ga_ls8c_ard_3-2-1_108079_2023-12-09_final
2023-12-09 11:10:03	ga_ls8c_ard_3-2-1_108080_2023-12-09_final
2023-12-09 11:10:27	ga_ls8c_ard_3-2-1_108081_2023-12-09_final
2023-12-09 11:10:51	ga_ls8c_ard_3-2-1_108082_2023-12-09_final
2023-12-09 11:11:15	ga_ls8c_ard_3-2-1_108083_2023-12-09_final
2023-12-16 11:13:31	ga_ls8c_ard_3-2-1_109073_2023-12-16_final
2023-12-16 11:13:55	ga_ls8c_ard_3-2-1_109074_2023-12-16_final
2023-12-16 11:14:19	ga_ls8c_ard_3-2-1_109075_2023-12-16_final
2023-12-16 11:14:43	ga_ls8c_ard_3-2-1_109076_2023-12-16_final
2023-12-16 11:15:07	ga_ls8c_ard_3-2-1_109077_2023-12-16_final
2023-12-16 11:15:31	ga_ls8c_ard_3-2-1_109078_2023-12-16_final
2023-12-16 11:15:55	ga_ls8c_ard_3-2-1_109079_2023-12-16_final
2023-12-18 11:04:22	ga_ls8c_ard_3-2-1_107081_2023-12-18_final
2023-12-18 11:04:46	ga_ls8c_ard_3-2-1_107082_2023-12-18_final
2023-12-18 11:05:10	ga_ls8c_ard_3-2-1_107083_2023-12-18_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