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
2014-08-10 11:07:35	ga_ls8c_ard_3-0-0_108074_2014-08-10_final
2014-08-10 11:07:59	ga_ls8c_ard_3-0-0_108075_2014-08-10_final
2014-08-10 11:08:23	ga_ls8c_ard_3-0-0_108076_2014-08-10_final
2014-08-10 11:08:47	ga_ls8c_ard_3-0-0_108077_2014-08-10_final
2014-08-10 11:09:11	ga_ls8c_ard_3-0-0_108078_2014-08-10_final
2014-08-10 11:09:35	ga_ls8c_ard_3-0-0_108079_2014-08-10_final
2014-08-10 11:09:59	ga_ls8c_ard_3-0-0_108080_2014-08-10_final
2014-08-12 10:58:26	ga_ls8c_ard_3-0-0_106082_2014-08-12_final
2014-08-12 10:58:50	ga_ls8c_ard_3-0-0_106083_2014-08-12_final
2014-10-04 11:12:19	ga_ls8c_ard_3-0-0_109070_2014-10-04_final
2014-10-04 11:12:43	ga_ls8c_ard_3-0-0_109071_2014-10-04_final
2014-10-04 11:13:06	ga_ls8c_ard_3-0-0_109072_2014-10-04_final
2014-10-04 11:13:30	ga_ls8c_ard_3-0-0_109073_2014-10-04_final
2014-10-04 11:13:54	ga_ls8c_ard_3-0-0_109074_2014-10-04_final
2014-10-04 11:14:18	ga_ls8c_ard_3-0-0_109075_2014-10-04_final
2014-10-06 11:03:09	ga_ls8c_ard_3-0-0_107078_2014-10-06_final
2014-10-06 11:03:33	ga_ls8c_ard_3-0-0_107079_2014-10-06_final
2014-10-06 11:03:57	ga_ls8c_ard_3-0-0_107080_2014-10-06_final
2014-10-06 11:04:21	ga_ls8c_ard_3-0-0_107081_2014-10-06_final
2014-10-06 11:04:45	ga_ls8c_ard_3-0-0_107082_2014-10-06_final
2014-10-06 11:05:09	ga_ls8c_ard_3-0-0_107083_2014-10-06_final
2014-10-06 11:05:33	ga_ls8c_ard_3-0-0_107084_2014-10-06_final
2014-10-11 11:17:19	ga_ls8c_ard_3-0-0_110067_2014-10-11_final
2014-10-11 11:17:43	ga_ls8c_ard_3-0-0_110068_2014-10-11_final
2014-10-11 11:18:07	ga_ls8c_ard_3-0-0_110069_2014-10-11_final
2014-10-11 11:18:31	ga_ls8c_ard_3-0-0_110070_2014-10-11_final
2014-11-05 11:12:21	ga_ls8c_ard_3-0-0_109070_2014-11-05_final
2014-11-05 11:12:45	ga_ls8c_ard_3-0-0_109071_2014-11-05_final
2014-11-05 11:13:09	ga_ls8c_ard_3-0-0_109072_2014-11-05_final
2014-11-05 11:13:33	ga_ls8c_ard_3-0-0_109073_2014-11-05_final
2014-11-05 11:13:56	ga_ls8c_ard_3-0-0_109074_2014-11-05_final
2014-11-05 11:14:20	ga_ls8c_ard_3-1-0_109075_2014-11-05_final
2014-11-07 11:03:11	ga_ls8c_ard_3-0-0_107078_2014-11-07_final
2014-11-07 11:03:35	ga_ls8c_ard_3-0-0_107079_2014-11-07_final
2014-11-07 11:03:59	ga_ls8c_ard_3-0-0_107080_2014-11-07_final
2014-11-07 11:05:11	ga_ls8c_ard_3-0-0_107083_2014-11-07_final
2014-11-07 11:05:35	ga_ls8c_ard_3-0-0_107084_2014-11-07_final
2014-11-21 11:12:17	ga_ls8c_ard_3-0-0_109070_2014-11-21_final
2014-11-21 11:12:41	ga_ls8c_ard_3-0-0_109071_2014-11-21_final
2014-11-21 11:13:05	ga_ls8c_ard_3-0-0_109072_2014-11-21_final
2014-11-21 11:13:28	ga_ls8c_ard_3-0-0_109073_2014-11-21_final
2014-11-21 11:13:52	ga_ls8c_ard_3-0-0_109074_2014-11-21_final
2014-11-21 11:14:16	ga_ls8c_ard_3-1-0_109075_2014-11-21_final
2014-11-23 11:03:08	ga_ls8c_ard_3-0-0_107078_2014-11-23_final
2014-11-23 11:03:32	ga_ls8c_ard_3-0-0_107079_2014-11-23_final
2014-11-23 11:03:56	ga_ls8c_ard_3-0-0_107080_2014-11-23_final
2014-11-23 11:04:20	ga_ls8c_ard_3-0-0_107081_2014-11-23_final
2014-11-23 11:04:44	ga_ls8c_ard_3-1-0_107082_2014-11-23_final
2014-11-23 11:05:08	ga_ls8c_ard_3-0-0_107083_2014-11-23_final
2014-11-23 11:05:31	ga_ls8c_ard_3-0-0_107084_2014-11-23_final
2014-12-14 11:17:12	ga_ls8c_ard_3-0-0_110067_2014-12-14_final
2014-12-14 11:17:36	ga_ls8c_ard_3-0-0_110068_2014-12-14_final
2014-12-14 11:18:00	ga_ls8c_ard_3-0-0_110069_2014-12-14_final
2014-12-14 11:18:24	ga_ls8c_ard_3-0-0_110070_2014-12-14_final
2014-12-16 11:07:39	ga_ls8c_ard_3-0-0_108074_2014-12-16_final
2014-12-16 11:08:03	ga_ls8c_ard_3-0-0_108075_2014-12-16_final
2014-12-16 11:08:27	ga_ls8c_ard_3-0-0_108076_2014-12-16_final
2014-12-16 11:08:51	ga_ls8c_ard_3-0-0_108077_2014-12-16_final
2014-12-16 11:09:15	ga_ls8c_ard_3-0-0_108078_2014-12-16_final
2014-12-16 11:09:39	ga_ls8c_ard_3-0-0_108079_2014-12-16_final
2014-12-16 11:10:03	ga_ls8c_ard_3-0-0_108080_2014-12-16_final
2014-12-18 10:58:30	ga_ls8c_ard_3-0-0_106082_2014-12-18_final
2014-12-18 10:58:54	ga_ls8c_ard_3-0-0_106083_2014-12-18_final
2015-01-01 11:07:34	ga_ls8c_ard_3-0-0_108074_2015-01-01_final
2015-01-01 11:07:58	ga_ls8c_ard_3-0-0_108075_2015-01-01_final
2015-01-01 11:08:22	ga_ls8c_ard_3-0-0_108076_2015-01-01_final
2015-01-01 11:08:46	ga_ls8c_ard_3-0-0_108077_2015-01-01_final
2015-01-01 11:09:10	ga_ls8c_ard_3-0-0_108078_2015-01-01_final
2015-01-01 11:09:34	ga_ls8c_ard_3-0-0_108079_2015-01-01_final
2015-01-01 11:09:57	ga_ls8c_ard_3-0-0_108080_2015-01-01_final
2015-01-03 10:58:25	ga_ls8c_ard_3-0-0_106082_2015-01-03_final
2015-01-03 10:58:49	ga_ls8c_ard_3-0-0_106083_2015-01-03_final
2023-05-22 11:11:01	ga_ls8c_ard_3-2-1_109069_2023-05-22_final
2023-05-22 11:11:25	ga_ls8c_ard_3-2-1_109070_2023-05-22_final
2023-05-22 11:11:49	ga_ls8c_ard_3-2-1_109071_2023-05-22_final
2023-05-22 11:12:13	ga_ls8c_ard_3-2-1_109072_2023-05-22_final
2023-05-22 11:12:37	ga_ls8c_ard_3-2-1_109073_2023-05-22_final
2023-05-22 11:13:01	ga_ls8c_ard_3-2-1_109074_2023-05-22_final
2023-05-22 11:13:25	ga_ls8c_ard_3-2-1_109075_2023-05-22_final
2023-05-24 11:02:16	ga_ls8c_ard_3-2-1_107078_2023-05-24_final
2023-05-24 11:02:40	ga_ls8c_ard_3-2-1_107079_2023-05-24_final
2023-05-24 11:03:04	ga_ls8c_ard_3-2-1_107080_2023-05-24_final
2023-05-24 11:03:28	ga_ls8c_ard_3-2-1_107081_2023-05-24_final
2023-05-24 11:03:52	ga_ls8c_ard_3-2-1_107082_2023-05-24_final
2023-05-24 11:04:15	ga_ls8c_ard_3-2-1_107083_2023-05-24_final
2023-05-24 11:04:39	ga_ls8c_ard_3-2-1_107084_2023-05-24_final
2024-02-27 11:07:33	ga_ls8c_ard_3-2-1_108074_2024-02-27_final
2024-02-27 11:07:57	ga_ls8c_ard_3-2-1_108075_2024-02-27_final
2024-02-27 11:08:21	ga_ls8c_ard_3-2-1_108076_2024-02-27_final
2024-02-27 11:08:45	ga_ls8c_ard_3-2-1_108077_2024-02-27_final
2024-02-27 11:09:33	ga_ls8c_ard_3-2-1_108079_2024-02-27_final
2024-02-27 11:09:57	ga_ls8c_ard_3-2-1_108080_2024-02-27_final
2024-02-29 10:58:22	ga_ls8c_ard_3-2-1_106082_2024-02-29_final
2024-02-29 10:58:46	ga_ls8c_ard_3-2-1_106083_2024-02-29_final
2024-03-05 11:11:38	ga_ls8c_ard_3-2-1_109069_2024-03-05_final
2024-03-05 11:12:02	ga_ls8c_ard_3-2-1_109070_2024-03-05_final
2024-03-05 11:12:26	ga_ls8c_ard_3-2-1_109071_2024-03-05_final
2024-03-05 11:12:50	ga_ls8c_ard_3-2-1_109072_2024-03-05_final
2024-03-05 11:13:14	ga_ls8c_ard_3-2-1_109073_2024-03-05_final
2024-03-05 11:13:37	ga_ls8c_ard_3-2-1_109074_2024-03-05_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