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
2023-02-04 09:54:10	ga_ls8c_ard_3-2-1_096075_2023-02-04_final
2023-02-04 11:33:50	ga_ls8c_ard_3-2-1_112077_2023-02-04_final
2023-03-15 09:59:55	ga_ls8c_ard_3-2-1_097075_2023-03-15_final
2023-03-18 10:31:11	ga_ls8c_ard_3-2-1_102076_2023-03-18_final
2023-03-18 10:31:59	ga_ls8c_ard_3-2-1_102078_2023-03-18_final
2023-03-18 10:32:23	ga_ls8c_ard_3-2-1_102079_2023-03-18_final
2023-03-19 09:36:45	ga_ls8c_ard_3-2-1_093079_2023-03-19_final
2023-03-19 09:37:33	ga_ls8c_ard_3-2-1_093081_2023-03-19_final
2023-03-19 09:37:57	ga_ls8c_ard_3-2-1_093082_2023-03-19_final
2023-03-22 10:08:24	ga_ls8c_ard_3-2-1_098081_2023-03-22_final
2023-03-24 09:56:00	ga_ls8c_ard_3-2-1_096081_2023-03-24_final
2023-03-24 09:56:24	ga_ls8c_ard_3-2-1_096082_2023-03-24_final
2023-04-03 10:31:48	ga_ls8c_ard_3-2-1_102078_2023-04-03_final
2023-04-03 10:32:12	ga_ls8c_ard_3-2-1_102079_2023-04-03_final
2023-06-07 09:35:49	ga_ls8c_ard_3-2-1_093078_2023-06-07_final
2023-06-09 10:59:59	ga_ls8c_ard_3-2-1_107072_2023-06-09_final
2023-06-11 10:52:02	ga_ls8c_ard_3-2-1_105083_2023-06-11_final
2023-06-12 11:32:06	ga_ls8c_ard_3-2-1_112075_2023-06-12_final
2023-06-13 10:34:06	ga_ls8c_ard_3-2-1_103069_2023-06-13_final
2023-06-13 10:36:05	ga_ls8c_ard_3-2-1_103074_2023-06-13_final
2023-06-13 10:38:29	ga_ls8c_ard_3-2-1_103080_2023-06-13_final
2023-06-14 09:41:16	ga_ls8c_ard_3-2-1_094076_2023-06-14_final
2023-06-15 10:26:08	ga_ls8c_ard_3-2-1_101080_2023-06-15_final
2023-06-16 11:06:13	ga_ls8c_ard_3-2-1_108072_2023-06-16_final
2023-06-16 11:07:48	ga_ls8c_ard_3-2-1_108076_2023-06-16_final
2023-06-16 11:10:12	ga_ls8c_ard_3-2-1_108082_2023-06-16_final
2023-06-21 11:26:21	ga_ls8c_ard_3-2-1_111076_2023-06-21_final
2023-06-23 09:37:06	ga_ls8c_ard_3-2-1_093081_2023-06-23_final
2023-06-27 10:46:57	ga_ls8c_ard_3-2-1_105070_2023-06-27_final
2023-06-29 10:35:01	ga_ls8c_ard_3-2-1_103071_2023-06-29_final
2023-06-29 10:38:13	ga_ls8c_ard_3-2-1_103079_2023-06-29_final
2023-06-29 10:38:37	ga_ls8c_ard_3-2-1_103080_2023-06-29_final
2023-06-30 09:43:24	ga_ls8c_ard_3-2-1_094081_2023-06-30_final
2023-06-30 11:20:42	ga_ls8c_ard_3-2-1_110077_2023-06-30_final
2023-07-02 09:30:40	ga_ls8c_ard_3-2-1_092080_2023-07-02_final
2023-07-02 11:07:58	ga_ls8c_ard_3-2-1_108076_2023-07-02_final
2023-07-04 10:56:01	ga_ls8c_ard_3-2-1_106077_2023-07-04_final
2023-07-05 10:02:00	ga_ls8c_ard_3-2-1_097081_2023-07-05_final
2023-07-05 11:38:30	ga_ls8c_ard_3-2-1_113075_2023-07-05_final
2023-07-06 10:44:29	ga_ls8c_ard_3-2-1_104079_2023-07-06_final
2023-07-07 09:49:16	ga_ls8c_ard_3-2-1_095080_2023-07-07_final
2023-07-08 10:29:21	ga_ls8c_ard_3-2-1_102072_2023-07-08_final
2023-07-09 09:35:19	ga_ls8c_ard_3-2-1_093076_2023-07-09_final
2023-07-09 09:36:55	ga_ls8c_ard_3-2-1_093080_2023-07-09_final
2023-07-11 09:23:46	ga_ls8c_ard_3-2-1_091078_2023-07-10_final
2023-07-11 11:04:15	ga_ls8c_ard_3-2-1_107082_2023-07-11_final
2023-07-12 10:05:50	ga_ls8c_ard_3-2-1_098075_2023-07-12_final
2023-07-13 10:51:06	ga_ls8c_ard_3-2-1_105080_2023-07-13_final
2023-07-15 10:37:57	ga_ls8c_ard_3-2-1_103078_2023-07-15_final
2023-07-16 09:43:31	ga_ls8c_ard_3-2-1_094081_2023-07-16_final
2023-07-16 09:44:19	ga_ls8c_ard_3-2-1_094083_2023-07-16_final
2023-07-17 10:25:35	ga_ls8c_ard_3-2-1_101078_2023-07-17_final
2023-07-19 10:11:37	ga_ls8c_ard_3-2-1_099074_2023-07-19_final
2023-07-20 09:18:23	ga_ls8c_ard_3-2-1_090080_2023-07-19_final
2023-07-20 10:56:28	ga_ls8c_ard_3-2-1_106078_2023-07-20_final
2023-07-21 11:38:33	ga_ls8c_ard_3-2-1_113075_2023-07-21_final
2023-07-22 10:45:20	ga_ls8c_ard_3-2-1_104081_2023-07-22_final
2023-07-24 10:31:25	ga_ls8c_ard_3-2-1_102077_2023-07-24_final
2023-07-25 11:16:17	ga_ls8c_ard_3-2-1_109081_2023-07-25_final
2023-07-28 10:08:44	ga_ls8c_ard_3-2-1_098082_2023-07-28_final
2023-08-01 09:41:40	ga_ls8c_ard_3-2-1_094076_2023-08-01_final
2023-08-02 10:22:32	ga_ls8c_ard_3-2-1_101070_2023-08-02_final
2023-08-03 09:30:06	ga_ls8c_ard_3-2-1_092078_2023-08-03_final
2023-08-04 10:12:11	ga_ls8c_ard_3-2-1_099075_2023-08-04_final
2023-08-05 10:56:38	ga_ls8c_ard_3-2-1_106078_2023-08-05_final
2023-08-05 10:57:50	ga_ls8c_ard_3-2-1_106081_2023-08-05_final
2023-08-06 10:02:13	ga_ls8c_ard_3-2-1_097081_2023-08-06_final
2023-08-06 11:40:18	ga_ls8c_ard_3-2-1_113079_2023-08-06_final
2023-08-09 10:30:19	ga_ls8c_ard_3-2-1_102074_2023-08-09_final
2023-08-09 10:30:43	ga_ls8c_ard_3-2-1_102075_2023-08-09_final
2023-08-11 10:20:45	ga_ls8c_ard_3-2-1_100081_2023-08-11_final
2023-08-12 09:23:57	ga_ls8c_ard_3-2-1_091078_2023-08-11_final
2023-08-14 10:50:06	ga_ls8c_ard_3-2-1_105077_2023-08-14_final
2023-08-14 10:50:54	ga_ls8c_ard_3-2-1_105079_2023-08-14_final
2023-08-15 09:56:29	ga_ls8c_ard_3-2-1_096082_2023-08-15_final
2023-08-16 10:34:35	ga_ls8c_ard_3-2-1_103069_2023-08-16_final
2023-08-16 10:36:34	ga_ls8c_ard_3-2-1_103074_2023-08-16_final
2023-08-16 10:37:22	ga_ls8c_ard_3-2-1_103076_2023-08-16_final
2023-08-17 11:22:14	ga_ls8c_ard_3-2-1_110080_2023-08-17_final
2023-08-19 09:31:25	ga_ls8c_ard_3-2-1_092081_2023-08-19_final
2023-08-19 11:10:18	ga_ls8c_ard_3-2-1_108081_2023-08-19_final
2023-08-21 09:18:40	ga_ls8c_ard_3-2-1_090080_2023-08-20_final
2023-08-21 10:56:45	ga_ls8c_ard_3-2-1_106078_2023-08-21_final
2023-08-22 10:02:20	ga_ls8c_ard_3-2-1_097081_2023-08-22_final
2023-08-22 10:02:44	ga_ls8c_ard_3-2-1_097082_2023-08-22_final
2023-08-23 10:40:49	ga_ls8c_ard_3-2-1_104069_2023-08-23_final
2023-08-26 09:36:02	ga_ls8c_ard_3-2-1_093077_2023-08-26_final
2023-08-27 10:20:54	ga_ls8c_ard_3-2-1_100081_2023-08-27_final
2023-08-28 09:24:05	ga_ls8c_ard_3-2-1_091078_2023-08-27_final
2023-08-31 09:56:34	ga_ls8c_ard_3-2-1_096082_2023-08-31_final
2023-09-01 10:36:38	ga_ls8c_ard_3-2-1_103074_2023-09-01_final
2023-09-01 10:38:14	ga_ls8c_ard_3-2-1_103078_2023-09-01_final
2023-09-02 09:41:49	ga_ls8c_ard_3-2-1_094076_2023-09-02_final
2023-09-02 09:44:36	ga_ls8c_ard_3-2-1_094083_2023-09-02_final
2023-09-04 09:30:14	ga_ls8c_ard_3-2-1_092078_2023-09-04_final
2023-09-04 09:31:26	ga_ls8c_ard_3-2-1_092081_2023-09-04_final
2023-09-04 11:08:19	ga_ls8c_ard_3-2-1_108076_2023-09-04_final
2023-09-06 09:18:39	ga_ls8c_ard_3-2-1_090080_2023-09-05_final
2023-09-06 10:57:08	ga_ls8c_ard_3-2-1_106079_2023-09-06_final
2023-09-07 10:00:19	ga_ls8c_ard_3-2-1_097076_2023-09-07_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