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
2023-02-01 11:03:21	ga_ls8c_ard_3-2-1_107078_2023-02-01_final
2023-02-04 11:33:03	ga_ls8c_ard_3-2-1_112075_2023-02-04_final
2023-03-14 10:58:21	ga_ls8c_ard_3-2-1_106082_2023-03-14_final
2023-03-20 10:17:36	ga_ls8c_ard_3-2-1_100073_2023-03-20_final
2023-03-21 11:04:26	ga_ls8c_ard_3-2-1_107082_2023-03-21_final
2023-04-11 11:20:40	ga_ls8c_ard_3-2-1_110077_2023-04-11_final
2023-04-11 11:21:28	ga_ls8c_ard_3-2-1_110079_2023-04-11_final
2023-04-13 11:09:30	ga_ls8c_ard_3-2-1_108080_2023-04-13_final
2023-04-13 11:09:54	ga_ls8c_ard_3-2-1_108081_2023-04-13_final
2023-04-17 10:45:09	ga_ls8c_ard_3-2-1_104081_2023-04-17_final
2023-04-19 10:29:59	ga_ls8c_ard_3-2-1_102074_2023-04-19_final
2023-04-24 10:50:31	ga_ls8c_ard_3-2-1_105079_2023-04-24_final
2023-04-26 10:34:10	ga_ls8c_ard_3-2-1_103069_2023-04-26_final
2023-04-29 11:09:02	ga_ls8c_ard_3-2-1_108079_2023-04-29_final
2023-04-29 11:10:14	ga_ls8c_ard_3-2-1_108082_2023-04-29_final
2023-05-01 10:58:15	ga_ls8c_ard_3-2-1_106083_2023-05-01_final
2023-05-04 11:27:31	ga_ls8c_ard_3-2-1_111079_2023-05-04_final
2023-05-06 09:36:15	ga_ls8c_ard_3-2-1_093079_2023-05-06_final
2023-05-06 11:15:08	ga_ls8c_ard_3-2-1_109079_2023-05-06_final
2023-05-19 10:44:53	ga_ls8c_ard_3-2-1_104081_2023-05-19_final
2023-05-20 09:49:16	ga_ls8c_ard_3-2-1_095081_2023-05-20_final
2023-05-20 11:25:22	ga_ls8c_ard_3-2-1_111074_2023-05-20_final
2023-05-22 09:36:08	ga_ls8c_ard_3-2-1_093079_2023-05-22_final
2023-05-22 11:14:13	ga_ls8c_ard_3-2-1_109077_2023-05-22_final
2023-05-22 11:15:25	ga_ls8c_ard_3-2-1_109080_2023-05-22_final
2023-05-24 09:23:47	ga_ls8c_ard_3-2-1_091079_2023-05-23_final
2023-05-26 10:49:31	ga_ls8c_ard_3-2-1_105077_2023-05-26_final
2023-05-26 10:49:54	ga_ls8c_ard_3-2-1_105078_2023-05-26_final
2023-05-26 10:50:18	ga_ls8c_ard_3-2-1_105079_2023-05-26_final
2023-05-27 09:54:17	ga_ls8c_ard_3-2-1_096078_2023-05-27_final
2023-05-29 11:20:25	ga_ls8c_ard_3-2-1_110077_2023-05-29_final
2023-06-01 11:51:43	ga_ls8c_ard_3-2-1_115078_2023-06-01_final
2023-06-01 11:52:07	ga_ls8c_ard_3-2-1_115079_2023-06-01_final
2023-06-03 10:03:17	ga_ls8c_ard_3-2-1_097085_2023-06-03_final
2023-06-05 11:27:26	ga_ls8c_ard_3-2-1_111079_2023-06-05_final
2023-06-07 11:16:42	ga_ls8c_ard_3-2-1_109083_2023-06-07_final
2023-06-09 09:23:05	ga_ls8c_ard_3-2-1_091077_2023-06-08_final
2023-06-11 10:46:26	ga_ls8c_ard_3-2-1_105069_2023-06-11_final
2023-06-11 10:50:50	ga_ls8c_ard_3-2-1_105080_2023-06-11_final
2023-06-19 10:01:49	ga_ls8c_ard_3-2-1_097081_2023-06-19_final
2023-06-23 09:36:42	ga_ls8c_ard_3-2-1_093080_2023-06-23_final
2023-06-23 09:38:18	ga_ls8c_ard_3-2-1_093084_2023-06-23_final
2023-06-24 10:19:35	ga_ls8c_ard_3-2-1_100079_2023-06-24_final
2023-06-25 11:03:40	ga_ls8c_ard_3-2-1_107081_2023-06-25_final
2023-06-28 11:34:13	ga_ls8c_ard_3-2-1_112080_2023-06-28_final
2023-07-02 09:30:16	ga_ls8c_ard_3-2-1_092079_2023-07-02_final
2023-07-02 11:08:46	ga_ls8c_ard_3-2-1_108078_2023-07-02_final
2023-07-05 10:03:36	ga_ls8c_ard_3-2-1_097085_2023-07-05_final
2023-07-07 09:50:52	ga_ls8c_ard_3-2-1_095084_2023-07-07_final
2023-07-08 10:33:20	ga_ls8c_ard_3-2-1_102082_2023-07-08_final
2023-07-09 11:15:24	ga_ls8c_ard_3-2-1_109079_2023-07-09_final
2023-07-14 09:54:41	ga_ls8c_ard_3-2-1_096078_2023-07-14_final
2023-07-14 11:31:58	ga_ls8c_ard_3-2-1_112074_2023-07-14_final
2023-07-16 09:42:19	ga_ls8c_ard_3-2-1_094078_2023-07-16_final
2023-07-16 11:21:12	ga_ls8c_ard_3-2-1_110078_2023-07-16_final
2023-07-16 11:21:36	ga_ls8c_ard_3-2-1_110079_2023-07-16_final
2023-07-23 09:48:32	ga_ls8c_ard_3-2-1_095078_2023-07-23_final
2023-07-23 11:27:49	ga_ls8c_ard_3-2-1_111079_2023-07-23_final
2023-07-30 09:54:48	ga_ls8c_ard_3-2-1_096078_2023-07-30_final
2023-08-07 10:45:29	ga_ls8c_ard_3-2-1_104081_2023-08-07_final
2023-08-08 09:48:39	ga_ls8c_ard_3-2-1_095078_2023-08-08_final
2023-08-08 11:26:21	ga_ls8c_ard_3-2-1_111075_2023-08-08_final
2023-08-08 11:26:44	ga_ls8c_ard_3-2-1_111076_2023-08-08_final
2023-08-08 11:27:56	ga_ls8c_ard_3-2-1_111079_2023-08-08_final
2023-08-10 11:15:34	ga_ls8c_ard_3-2-1_109079_2023-08-10_final
2023-08-11 10:19:57	ga_ls8c_ard_3-2-1_100079_2023-08-11_final
2023-08-15 09:58:05	ga_ls8c_ard_3-2-1_096086_2023-08-15_final
2023-08-17 11:21:26	ga_ls8c_ard_3-2-1_110078_2023-08-17_final
2023-08-24 09:48:47	ga_ls8c_ard_3-2-1_095078_2023-08-24_final
2023-08-24 09:51:35	ga_ls8c_ard_3-2-1_095085_2023-08-24_final
2023-08-24 11:28:04	ga_ls8c_ard_3-2-1_111079_2023-08-24_final
2023-08-26 09:36:50	ga_ls8c_ard_3-2-1_093079_2023-08-26_final
2023-08-30 10:48:36	ga_ls8c_ard_3-2-1_105073_2023-08-30_final
2023-08-30 10:50:12	ga_ls8c_ard_3-2-1_105077_2023-08-30_final
2023-09-04 11:10:43	ga_ls8c_ard_3-2-1_108082_2023-09-04_final
2023-09-09 09:48:47	ga_ls8c_ard_3-2-1_095078_2023-09-09_final
2023-09-20 11:10:48	ga_ls8c_ard_3-2-1_108082_2023-09-20_final
2023-09-25 09:48:53	ga_ls8c_ard_3-2-1_095078_2023-09-25_final
2023-09-27 11:15:50	ga_ls8c_ard_3-2-1_109079_2023-09-27_final
2023-09-29 11:00:17	ga_ls8c_ard_3-2-1_107071_2023-09-29_final
2023-10-06 09:30:22	ga_ls8c_ard_3-2-1_092078_2023-10-06_final
2023-10-06 11:10:27	ga_ls8c_ard_3-2-1_108081_2023-10-06_final
2023-10-06 11:10:51	ga_ls8c_ard_3-2-1_108082_2023-10-06_final
2023-10-11 11:28:15	ga_ls8c_ard_3-2-1_111079_2023-10-11_final
2023-10-13 11:16:17	ga_ls8c_ard_3-2-1_109080_2023-10-13_final
2023-10-20 11:22:02	ga_ls8c_ard_3-2-1_110079_2023-10-20_final
2023-10-22 11:10:54	ga_ls8c_ard_3-2-1_108082_2023-10-22_final
2023-10-24 09:17:41	ga_ls8c_ard_3-2-1_090077_2023-10-23_final
2023-10-25 11:39:02	ga_ls8c_ard_3-2-1_113075_2023-10-25_final
2023-10-27 11:28:17	ga_ls8c_ard_3-2-1_111079_2023-10-27_final
2023-10-29 11:13:56	ga_ls8c_ard_3-2-1_109074_2023-10-29_final
2023-11-02 09:11:32	ga_ls8c_ard_3-2-1_089077_2023-11-01_final
2023-11-02 10:51:37	ga_ls8c_ard_3-2-1_105080_2023-11-02_final
2023-11-03 11:34:52	ga_ls8c_ard_3-2-1_112080_2023-11-03_final
2023-11-05 09:46:00	ga_ls8c_ard_3-2-1_094086_2023-11-05_final
2023-11-07 11:09:42	ga_ls8c_ard_3-2-1_108079_2023-11-07_final
2023-11-10 10:03:40	ga_ls8c_ard_3-2-1_097084_2023-11-10_final
2023-11-14 11:14:18	ga_ls8c_ard_3-2-1_109075_2023-11-14_final
2023-11-14 11:15:06	ga_ls8c_ard_3-2-1_109077_2023-11-14_final
2023-11-16 11:00:46	ga_ls8c_ard_3-2-1_107072_2023-11-16_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