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
2018-11-18 11:04:30	ga_ls8c_ard_3-1-0_107082_2018-11-18_final
2018-11-18 11:04:53	ga_ls8c_ard_3-0-0_107083_2018-11-18_final
2018-11-18 11:05:17	ga_ls8c_ard_3-0-0_107084_2018-11-18_final
2018-11-18 11:05:41	ga_ls8c_ard_3-0-0_107085_2018-11-18_final
2019-01-05 11:04:49	ga_ls8c_ard_3-0-0_107083_2019-01-05_final
2019-01-05 11:05:13	ga_ls8c_ard_3-0-0_107084_2019-01-05_final
2019-01-05 11:05:37	ga_ls8c_ard_3-0-0_107085_2019-01-05_final
2019-06-28 11:13:37	ga_ls8c_ard_3-1-0_109074_2019-06-28_final
2019-06-28 11:14:01	ga_ls8c_ard_3-1-0_109075_2019-06-28_final
2019-06-28 11:14:25	ga_ls8c_ard_3-1-0_109076_2019-06-28_final
2019-06-28 11:14:49	ga_ls8c_ard_3-1-0_109077_2019-06-28_final
2019-06-28 11:15:13	ga_ls8c_ard_3-1-0_109078_2019-06-28_final
2019-06-28 11:15:37	ga_ls8c_ard_3-1-0_109079_2019-06-28_final
2019-06-28 11:16:01	ga_ls8c_ard_3-1-0_109080_2019-06-28_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
2021-03-11 11:24:23	ga_ls8c_ard_3-2-0_111070_2021-03-11_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
2021-03-13 11:15:59	ga_ls8c_ard_3-2-0_109080_2021-03-13_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
2021-03-20 11:18:08	ga_ls8c_ard_3-2-0_110070_2021-03-20_final
2021-03-20 11:18:31	ga_ls8c_ard_3-2-0_110071_2021-03-20_final
2021-03-20 11:18:55	ga_ls8c_ard_3-2-0_110072_2021-03-20_final
2021-03-20 11:19:19	ga_ls8c_ard_3-2-0_110073_2021-03-20_final
2021-03-20 11:19:43	ga_ls8c_ard_3-2-0_110074_2021-03-20_final
2021-03-20 11:20:07	ga_ls8c_ard_3-2-0_110075_2021-03-20_final
2021-03-22 11:09:21	ga_ls8c_ard_3-2-0_108079_2021-03-22_final
2021-03-22 11:09:45	ga_ls8c_ard_3-2-0_108080_2021-03-22_final
2021-03-22 11:10:09	ga_ls8c_ard_3-2-0_108081_2021-03-22_final
2021-03-22 11:10:33	ga_ls8c_ard_3-2-0_108082_2021-03-22_final
2021-03-22 11:10:57	ga_ls8c_ard_3-2-0_108083_2021-03-22_final
2021-03-22 11:11:21	ga_ls8c_ard_3-2-0_108084_2021-03-22_final
2021-04-21 11:17:57	ga_ls8c_ard_3-2-0_110070_2021-04-21_final
2021-04-21 11:18:21	ga_ls8c_ard_3-2-0_110071_2021-04-21_final
2021-04-21 11:18:45	ga_ls8c_ard_3-2-0_110072_2021-04-21_final
2021-04-21 11:19:09	ga_ls8c_ard_3-2-0_110073_2021-04-21_final
2021-04-21 11:19:33	ga_ls8c_ard_3-2-0_110074_2021-04-21_final
2021-04-21 11:19:57	ga_ls8c_ard_3-2-0_110075_2021-04-21_final
2021-09-28 11:20:38	ga_ls8c_ard_3-2-0_110075_2021-09-28_final
2021-09-30 11:09:29	ga_ls8c_ard_3-2-0_108078_2021-09-30_final
2021-09-30 11:09:53	ga_ls8c_ard_3-2-0_108079_2021-09-30_final
2021-09-30 11:10:17	ga_ls8c_ard_3-2-0_108080_2021-09-30_final
2021-09-30 11:10:41	ga_ls8c_ard_3-2-0_108081_2021-09-30_final
2021-09-30 11:11:05	ga_ls8c_ard_3-2-0_108082_2021-09-30_final
2021-09-30 11:11:29	ga_ls8c_ard_3-2-0_108083_2021-09-30_final
2021-09-30 11:11:53	ga_ls8c_ard_3-2-0_108084_2021-09-30_final
2021-10-05 11:23:40	ga_ls8c_ard_3-2-0_111067_2021-10-05_final
2021-10-05 11:24:04	ga_ls8c_ard_3-2-0_111068_2021-10-05_final
2021-10-05 11:24:28	ga_ls8c_ard_3-2-0_111069_2021-10-05_final
2021-10-05 11:24:52	ga_ls8c_ard_3-2-0_111070_2021-10-05_final
2021-10-07 11:14:07	ga_ls8c_ard_3-2-0_109074_2021-10-07_final
2021-10-07 11:14:31	ga_ls8c_ard_3-2-0_109075_2021-10-07_final
2021-10-07 11:14:55	ga_ls8c_ard_3-2-0_109076_2021-10-07_final
2021-10-07 11:15:19	ga_ls8c_ard_3-2-0_109077_2021-10-07_final
2021-10-07 11:15:43	ga_ls8c_ard_3-2-0_109078_2021-10-07_final
2021-10-07 11:16:07	ga_ls8c_ard_3-2-0_109079_2021-10-07_final
2021-10-07 11:16:31	ga_ls8c_ard_3-2-0_109080_2021-10-07_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
2021-10-14 11:19:55	ga_ls8c_ard_3-2-0_110073_2021-10-14_final
2021-10-14 11:20:19	ga_ls8c_ard_3-2-0_110074_2021-10-14_final
2021-10-14 11:20:43	ga_ls8c_ard_3-2-0_110075_2021-10-14_final
2021-10-16 11:09:34	ga_ls8c_ard_3-2-0_108078_2021-10-16_final
2021-10-16 11:09:58	ga_ls8c_ard_3-2-0_108079_2021-10-16_final
2021-10-16 11:10:22	ga_ls8c_ard_3-2-0_108080_2021-10-16_final
2021-10-16 11:10:46	ga_ls8c_ard_3-2-0_108081_2021-10-16_final
2021-10-16 11:11:10	ga_ls8c_ard_3-2-0_108082_2021-10-16_final
2021-10-16 11:11:34	ga_ls8c_ard_3-2-0_108083_2021-10-16_final
2021-10-16 11:11:58	ga_ls8c_ard_3-2-0_108084_2021-10-16_final
2021-10-21 11:23:44	ga_ls8c_ard_3-2-0_111067_2021-10-21_final
2021-10-21 11:24:07	ga_ls8c_ard_3-2-0_111068_2021-10-21_final
2021-10-21 11:24:31	ga_ls8c_ard_3-2-0_111069_2021-10-21_final
2021-10-21 11:24:55	ga_ls8c_ard_3-2-0_111070_2021-10-21_final
2021-10-25 11:04:59	ga_ls8c_ard_3-2-0_107082_2021-10-25_final
2021-10-25 11:05:23	ga_ls8c_ard_3-2-0_107083_2021-10-25_final
2021-10-25 11:05:47	ga_ls8c_ard_3-2-0_107084_2021-10-25_final
2021-10-25 11:06:11	ga_ls8c_ard_3-2-0_107085_2021-10-25_final
2021-11-06 11:23:42	ga_ls8c_ard_3-2-0_111067_2021-11-06_final
2021-11-06 11:24:06	ga_ls8c_ard_3-2-0_111068_2021-11-06_final
2021-11-06 11:24:30	ga_ls8c_ard_3-2-0_111069_2021-11-06_final
2021-11-06 11:24:54	ga_ls8c_ard_3-2-0_111070_2021-11-06_final
2021-11-08 11:14:07	ga_ls8c_ard_3-2-0_109074_2021-11-08_final
2021-11-08 11:14:31	ga_ls8c_ard_3-2-0_109075_2021-11-08_final
2021-11-08 11:14:55	ga_ls8c_ard_3-2-0_109076_2021-11-08_final
2021-11-08 11:15:19	ga_ls8c_ard_3-2-0_109077_2021-11-08_final
2021-11-08 11:15:43	ga_ls8c_ard_3-2-0_109078_2021-11-08_final
2021-11-08 11:16:07	ga_ls8c_ard_3-2-0_109079_2021-11-08_final
2021-11-08 11:16:31	ga_ls8c_ard_3-2-0_109080_2021-11-08_final
2021-11-10 11:04:56	ga_ls8c_ard_3-2-0_107082_2021-11-10_final
2021-11-10 11:05:20	ga_ls8c_ard_3-2-0_107083_2021-11-10_final
2021-11-10 11:05:44	ga_ls8c_ard_3-2-0_107084_2021-11-10_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