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
2016-06-01 11:22:57	ga_ls8c_ard_3-0-0_111067_2016-06-01_final
2016-06-01 11:23:21	ga_ls8c_ard_3-0-0_111068_2016-06-01_final
2016-07-05 11:12:48	ga_ls8c_ard_3-0-0_109072_2016-07-05_final
2016-07-05 11:13:12	ga_ls8c_ard_3-0-0_109073_2016-07-05_final
2016-07-05 11:13:36	ga_ls8c_ard_3-0-0_109074_2016-07-05_final
2016-07-05 11:14:00	ga_ls8c_ard_3-1-0_109075_2016-07-05_final
2016-07-05 11:14:24	ga_ls8c_ard_3-0-0_109076_2016-07-05_final
2016-07-30 11:08:45	ga_ls8c_ard_3-0-0_108077_2016-07-30_final
2016-07-30 11:09:09	ga_ls8c_ard_3-0-0_108078_2016-07-30_final
2016-07-30 11:09:33	ga_ls8c_ard_3-0-0_108079_2016-07-30_final
2016-07-30 11:09:57	ga_ls8c_ard_3-0-0_108080_2016-07-30_final
2016-07-30 11:10:21	ga_ls8c_ard_3-0-0_108081_2016-07-30_final
2016-07-30 11:10:45	ga_ls8c_ard_3-0-0_108082_2016-07-30_final
2016-08-06 11:12:57	ga_ls8c_ard_3-0-0_109072_2016-08-06_final
2016-08-06 11:13:21	ga_ls8c_ard_3-0-0_109073_2016-08-06_final
2016-08-06 11:13:45	ga_ls8c_ard_3-0-0_109074_2016-08-06_final
2016-08-06 11:14:09	ga_ls8c_ard_3-0-0_109075_2016-08-06_final
2016-08-06 11:14:33	ga_ls8c_ard_3-0-0_109076_2016-08-06_final
2016-08-06 11:14:57	ga_ls8c_ard_3-0-0_109077_2016-08-06_final
2016-08-06 11:15:21	ga_ls8c_ard_3-0-0_109078_2016-08-06_final
2016-08-08 11:04:11	ga_ls8c_ard_3-0-0_107081_2016-08-08_final
2016-08-08 11:04:35	ga_ls8c_ard_3-1-0_107082_2016-08-08_final
2016-08-08 11:04:59	ga_ls8c_ard_3-0-0_107083_2016-08-08_final
2016-08-08 11:05:23	ga_ls8c_ard_3-0-0_107084_2016-08-08_final
2016-08-08 11:05:47	ga_ls8c_ard_3-0-0_107085_2016-08-08_final
2016-09-21 11:23:32	ga_ls8c_ard_3-0-0_111067_2016-09-21_final
2016-09-21 11:23:56	ga_ls8c_ard_3-0-0_111068_2016-09-21_final
2016-10-09 11:13:13	ga_ls8c_ard_3-0-0_109072_2016-10-09_final
2016-10-09 11:13:37	ga_ls8c_ard_3-0-0_109073_2016-10-09_final
2016-10-09 11:14:01	ga_ls8c_ard_3-0-0_109074_2016-10-09_final
2016-10-09 11:14:25	ga_ls8c_ard_3-0-0_109075_2016-10-09_final
2016-10-09 11:14:49	ga_ls8c_ard_3-0-0_109076_2016-10-09_final
2016-10-09 11:15:13	ga_ls8c_ard_3-0-0_109077_2016-10-09_final
2016-10-09 11:15:37	ga_ls8c_ard_3-0-0_109078_2016-10-09_final
2016-10-11 11:04:28	ga_ls8c_ard_3-0-0_107081_2016-10-11_final
2016-10-11 11:04:52	ga_ls8c_ard_3-1-0_107082_2016-10-11_final
2016-10-11 11:05:16	ga_ls8c_ard_3-0-0_107083_2016-10-11_final
2016-10-11 11:05:40	ga_ls8c_ard_3-0-0_107084_2016-10-11_final
2016-10-11 11:06:04	ga_ls8c_ard_3-0-0_107085_2016-10-11_final
2020-11-19 11:23:36	ga_ls8c_ard_3-1-0_111067_2020-11-19_final
2020-11-19 11:24:00	ga_ls8c_ard_3-1-0_111068_2020-11-19_final
2020-11-21 11:13:14	ga_ls8c_ard_3-1-0_109072_2020-11-21_final
2020-11-21 11:13:38	ga_ls8c_ard_3-1-0_109073_2020-11-21_final
2020-11-21 11:14:02	ga_ls8c_ard_3-1-0_109074_2020-11-21_final
2020-11-21 11:14:26	ga_ls8c_ard_3-1-0_109075_2020-11-21_final
2020-11-21 11:14:50	ga_ls8c_ard_3-1-0_109076_2020-11-21_final
2020-11-21 11:15:14	ga_ls8c_ard_3-1-0_109077_2020-11-21_final
2020-11-21 11:15:38	ga_ls8c_ard_3-1-0_109078_2020-11-21_final
2020-12-14 11:17:28	ga_ls8c_ard_3-1-0_110067_2020-12-14_final
2020-12-14 11:17:52	ga_ls8c_ard_3-1-0_110068_2020-12-14_final
2020-12-14 11:18:16	ga_ls8c_ard_3-1-0_110069_2020-12-14_final
2020-12-14 11:18:39	ga_ls8c_ard_3-1-0_110070_2020-12-14_final
2020-12-14 11:19:03	ga_ls8c_ard_3-1-0_110071_2020-12-14_final
2020-12-14 11:19:27	ga_ls8c_ard_3-1-0_110072_2020-12-14_final
2020-12-14 11:19:51	ga_ls8c_ard_3-1-0_110073_2020-12-14_final
2020-12-16 11:09:05	ga_ls8c_ard_3-1-0_108077_2020-12-16_final
2020-12-16 11:09:29	ga_ls8c_ard_3-1-0_108078_2020-12-16_final
2020-12-16 11:09:53	ga_ls8c_ard_3-1-0_108079_2020-12-16_final
2020-12-16 11:10:17	ga_ls8c_ard_3-1-0_108080_2020-12-16_final
2020-12-16 11:10:41	ga_ls8c_ard_3-1-0_108081_2020-12-16_final
2020-12-16 11:11:05	ga_ls8c_ard_3-1-0_108082_2020-12-16_final
2020-12-21 11:23:37	ga_ls8c_ard_3-2-0_111067_2020-12-21_final
2020-12-21 11:24:01	ga_ls8c_ard_3-2-0_111068_2020-12-21_final
2020-12-23 11:13:15	ga_ls8c_ard_3-2-0_109072_2020-12-23_final
2020-12-23 11:13:39	ga_ls8c_ard_3-2-0_109073_2020-12-23_final
2020-12-23 11:14:03	ga_ls8c_ard_3-2-0_109074_2020-12-23_final
2020-12-23 11:14:27	ga_ls8c_ard_3-2-0_109075_2020-12-23_final
2020-12-23 11:14:51	ga_ls8c_ard_3-2-0_109076_2020-12-23_final
2020-12-23 11:15:15	ga_ls8c_ard_3-2-0_109077_2020-12-23_final
2020-12-23 11:15:39	ga_ls8c_ard_3-2-0_109078_2020-12-23_final
2020-12-30 11:17:24	ga_ls8c_ard_3-2-0_110067_2020-12-30_final
2020-12-30 11:17:48	ga_ls8c_ard_3-2-0_110068_2020-12-30_final
2020-12-30 11:18:12	ga_ls8c_ard_3-2-0_110069_2020-12-30_final
2020-12-30 11:18:36	ga_ls8c_ard_3-2-0_110070_2020-12-30_final
2020-12-30 11:19:00	ga_ls8c_ard_3-2-0_110071_2020-12-30_final
2020-12-30 11:19:24	ga_ls8c_ard_3-2-0_110072_2020-12-30_final
2020-12-30 11:19:48	ga_ls8c_ard_3-2-0_110073_2020-12-30_final
2023-03-10 11:17:53	ga_ls8c_ard_3-2-1_110069_2023-03-10_final
2023-03-10 11:18:17	ga_ls8c_ard_3-2-1_110070_2023-03-10_final
2023-03-10 11:18:41	ga_ls8c_ard_3-2-1_110071_2023-03-10_final
2023-03-10 11:19:05	ga_ls8c_ard_3-2-1_110072_2023-03-10_final
2023-03-10 11:19:29	ga_ls8c_ard_3-2-1_110073_2023-03-10_final
2023-03-12 11:08:43	ga_ls8c_ard_3-2-1_108077_2023-03-12_final
2023-03-12 11:09:07	ga_ls8c_ard_3-2-1_108078_2023-03-12_final
2023-03-12 11:09:31	ga_ls8c_ard_3-2-1_108079_2023-03-12_final
2023-03-12 11:09:55	ga_ls8c_ard_3-2-1_108080_2023-03-12_final
2023-03-12 11:10:19	ga_ls8c_ard_3-2-1_108081_2023-03-12_final
2023-03-12 11:10:43	ga_ls8c_ard_3-2-1_108082_2023-03-12_final
2023-03-28 11:08:34	ga_ls8c_ard_3-2-1_108077_2023-03-28_final
2023-03-28 11:08:57	ga_ls8c_ard_3-2-1_108078_2023-03-28_final
2023-03-28 11:09:21	ga_ls8c_ard_3-2-1_108079_2023-03-28_final
2023-03-28 11:09:45	ga_ls8c_ard_3-2-1_108080_2023-03-28_final
2023-03-28 11:10:09	ga_ls8c_ard_3-2-1_108081_2023-03-28_final
2023-03-28 11:10:33	ga_ls8c_ard_3-2-1_108082_2023-03-28_final
2023-04-04 11:12:39	ga_ls8c_ard_3-2-1_109072_2023-04-04_final
2023-04-04 11:13:03	ga_ls8c_ard_3-2-1_109073_2023-04-04_final
2023-04-04 11:13:27	ga_ls8c_ard_3-2-1_109074_2023-04-04_final
2023-04-04 11:13:51	ga_ls8c_ard_3-2-1_109075_2023-04-04_final
2023-04-04 11:14:15	ga_ls8c_ard_3-2-1_109076_2023-04-04_final
2023-04-04 11:14:39	ga_ls8c_ard_3-2-1_109077_2023-04-04_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