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
2022-01-12 11:57:37	ga_ls8c_ard_3-2-1_116075_2022-01-12_final
2022-12-30 11:57:48	ga_ls8c_ard_3-2-1_116075_2022-12-30_final
2023-06-25 12:36:58	ga_ls8c_ard_3-2-1_123067_2023-06-25_final
2023-07-12 10:05:26	ga_ls8c_ard_3-2-1_098074_2023-07-12_final
2023-07-16 11:22:24	ga_ls8c_ard_3-2-1_110081_2023-07-16_final
2023-07-22 10:44:56	ga_ls8c_ard_3-2-1_104080_2023-07-22_final
2023-07-30 11:33:41	ga_ls8c_ard_3-2-1_112078_2023-07-30_final
2023-07-30 11:34:05	ga_ls8c_ard_3-2-1_112079_2023-07-30_final
2023-08-01 09:41:16	ga_ls8c_ard_3-2-1_094075_2023-08-01_final
2023-08-04 10:12:11	ga_ls8c_ard_3-2-1_099075_2023-08-04_final
2023-08-04 11:50:40	ga_ls8c_ard_3-2-1_115074_2023-08-04_final
2023-08-06 10:00:13	ga_ls8c_ard_3-2-1_097076_2023-08-06_final
2023-08-06 10:03:01	ga_ls8c_ard_3-2-1_097083_2023-08-06_final
2023-08-06 11:40:18	ga_ls8c_ard_3-2-1_113079_2023-08-06_final
2023-08-07 10:44:17	ga_ls8c_ard_3-2-1_104078_2023-08-07_final
2023-08-07 10:45:05	ga_ls8c_ard_3-2-1_104080_2023-08-07_final
2023-08-09 10:31:31	ga_ls8c_ard_3-2-1_102077_2023-08-09_final
2023-08-10 11:15:10	ga_ls8c_ard_3-2-1_109078_2023-08-10_final
2023-08-15 09:52:30	ga_ls8c_ard_3-2-1_096072_2023-08-15_final
2023-08-19 09:29:49	ga_ls8c_ard_3-2-1_092077_2023-08-18_final
2023-08-23 10:41:13	ga_ls8c_ard_3-2-1_104070_2023-08-23_final
2023-08-23 10:42:01	ga_ls8c_ard_3-2-1_104072_2023-08-23_final
2023-08-23 10:44:01	ga_ls8c_ard_3-2-1_104077_2023-08-23_final
2023-08-28 11:02:34	ga_ls8c_ard_3-2-1_107077_2023-08-28_final
2023-09-01 10:37:02	ga_ls8c_ard_3-2-1_103075_2023-09-01_final
2023-09-04 09:30:14	ga_ls8c_ard_3-2-1_092078_2023-09-04_final
2023-09-06 09:18:39	ga_ls8c_ard_3-2-1_090080_2023-09-05_final
2023-09-10 10:29:40	ga_ls8c_ard_3-2-1_102072_2023-09-10_final
2023-09-22 10:56:27	ga_ls8c_ard_3-2-1_106077_2023-09-22_final
2023-09-30 10:06:40	ga_ls8c_ard_3-2-1_098076_2023-09-30_final
2023-10-02 09:52:43	ga_ls8c_ard_3-2-1_096072_2023-10-02_final
2023-10-06 09:31:34	ga_ls8c_ard_3-2-1_092081_2023-10-06_final
2023-10-06 09:35:09	ga_ls8c_ard_3-2-1_092090_2023-10-06_final
2023-10-07 10:11:39	ga_ls8c_ard_3-2-1_099073_2023-10-07_final
2023-10-08 09:20:02	ga_ls8c_ard_3-2-1_090083_2023-10-07_final
2023-10-08 10:58:07	ga_ls8c_ard_3-2-1_106081_2023-10-08_final
2023-10-09 10:01:18	ga_ls8c_ard_3-2-1_097078_2023-10-09_final
2023-10-09 11:39:00	ga_ls8c_ard_3-2-1_113075_2023-10-09_final
2023-10-09 11:40:35	ga_ls8c_ard_3-2-1_113079_2023-10-09_final
2023-10-13 09:38:36	ga_ls8c_ard_3-2-1_093083_2023-10-13_final
2023-10-18 09:55:08	ga_ls8c_ard_3-2-1_096078_2023-10-18_final
2023-10-20 09:41:57	ga_ls8c_ard_3-2-1_094076_2023-10-20_final
2023-10-24 10:56:34	ga_ls8c_ard_3-2-1_106077_2023-10-24_final
2023-10-28 10:31:52	ga_ls8c_ard_3-2-1_102077_2023-10-28_final
2023-10-29 11:16:20	ga_ls8c_ard_3-2-1_109080_2023-10-29_final
2023-10-30 10:20:19	ga_ls8c_ard_3-2-1_100079_2023-10-30_final
2023-11-11 10:41:46	ga_ls8c_ard_3-2-1_104071_2023-11-11_final
2023-11-14 09:37:01	ga_ls8c_ard_3-2-1_093079_2023-11-14_final
2023-11-19 09:54:00	ga_ls8c_ard_3-2-1_096075_2023-11-19_final
2023-11-21 11:21:45	ga_ls8c_ard_3-2-1_110078_2023-11-21_final
2023-11-23 09:34:54	ga_ls8c_ard_3-2-1_092089_2023-11-23_final
2023-11-25 10:56:38	ga_ls8c_ard_3-2-1_106077_2023-11-25_final
2023-11-26 10:03:24	ga_ls8c_ard_3-2-1_097083_2023-11-26_final
2023-11-26 11:40:41	ga_ls8c_ard_3-2-1_113079_2023-11-26_final
2023-12-05 09:56:42	ga_ls8c_ard_3-2-1_096082_2023-12-05_final
2023-12-07 09:41:54	ga_ls8c_ard_3-2-1_094076_2023-12-07_final
2023-12-09 09:31:34	ga_ls8c_ard_3-2-1_092081_2023-12-09_final
2023-12-09 09:33:34	ga_ls8c_ard_3-2-1_092086_2023-12-09_final
2023-12-11 09:20:02	ga_ls8c_ard_3-2-1_090083_2023-12-10_final
2023-12-12 11:40:36	ga_ls8c_ard_3-2-1_113079_2023-12-12_final
2023-12-21 09:56:48	ga_ls8c_ard_3-2-1_096082_2023-12-21_final
2023-12-21 11:32:53	ga_ls8c_ard_3-2-1_112075_2023-12-21_final
2023-12-28 11:40:37	ga_ls8c_ard_3-2-1_113079_2023-12-28_final
2024-01-03 09:24:34	ga_ls8c_ard_3-2-1_091079_2024-01-02_final
2024-01-06 09:56:39	ga_ls8c_ard_3-2-1_096082_2024-01-06_final
2024-01-08 11:22:24	ga_ls8c_ard_3-2-1_110080_2024-01-08_final
2024-01-14 10:44:33	ga_ls8c_ard_3-2-1_104078_2024-01-14_final
2024-01-17 09:36:33	ga_ls8c_ard_3-2-1_093078_2024-01-17_final
2024-01-21 10:52:41	ga_ls8c_ard_3-2-1_105083_2024-01-21_final
2024-01-22 09:55:51	ga_ls8c_ard_3-2-1_096080_2024-01-22_final
2024-01-22 09:56:39	ga_ls8c_ard_3-2-1_096082_2024-01-22_final
2024-01-22 11:35:08	ga_ls8c_ard_3-2-1_112081_2024-01-22_final
2024-01-26 09:31:28	ga_ls8c_ard_3-2-1_092081_2024-01-26_final
2024-01-29 11:40:28	ga_ls8c_ard_3-2-1_113079_2024-01-29_final
2024-01-30 10:44:04	ga_ls8c_ard_3-2-1_104077_2024-01-30_final
2024-02-02 09:38:30	ga_ls8c_ard_3-2-1_093083_2024-02-02_final
2024-02-05 10:09:26	ga_ls8c_ard_3-2-1_098083_2024-02-05_final
2024-02-09 11:22:24	ga_ls8c_ard_3-2-1_110080_2024-02-09_final
2024-02-11 09:29:57	ga_ls8c_ard_3-2-1_092077_2024-02-10_final
2024-02-11 09:31:33	ga_ls8c_ard_3-2-1_092081_2024-02-11_final
2024-02-13 10:58:04	ga_ls8c_ard_3-2-1_106081_2024-02-13_final
2024-02-18 09:36:30	ga_ls8c_ard_3-2-1_093078_2024-02-18_final
2024-02-20 11:03:01	ga_ls8c_ard_3-2-1_107078_2024-02-20_final
2024-02-22 10:52:39	ga_ls8c_ard_3-2-1_105083_2024-02-22_final
2024-02-24 10:38:17	ga_ls8c_ard_3-2-1_103078_2024-02-24_final
2024-02-26 10:25:06	ga_ls8c_ard_3-2-1_101076_2024-02-26_final
2024-03-01 10:02:20	ga_ls8c_ard_3-2-1_097081_2024-03-01_final
2024-03-01 11:38:49	ga_ls8c_ard_3-2-1_113075_2024-03-01_final
2024-03-01 11:39:13	ga_ls8c_ard_3-2-1_113076_2024-03-01_final
2024-03-03 11:27:37	ga_ls8c_ard_3-2-1_111078_2024-03-03_final
2024-03-09 10:50:51	ga_ls8c_ard_3-2-1_105079_2024-03-09_final
2024-03-10 09:55:14	ga_ls8c_ard_3-2-1_096079_2024-03-10_final
2024-03-14 11:08:58	ga_ls8c_ard_3-2-1_108078_2024-03-14_final
2024-03-15 10:11:45	ga_ls8c_ard_3-2-1_099074_2024-03-15_final
2024-03-26 09:55:48	ga_ls8c_ard_3-2-1_096081_2024-03-26_final
2024-03-26 09:56:12	ga_ls8c_ard_3-2-1_096082_2024-03-26_final
2024-03-27 10:34:39	ga_ls8c_ard_3-2-1_103070_2024-03-27_final
2024-03-30 09:29:28	ga_ls8c_ard_3-2-1_092077_2024-03-29_final
2024-03-30 09:31:27	ga_ls8c_ard_3-2-1_092082_2024-03-30_final
2024-03-31 10:11:08	ga_ls8c_ard_3-2-1_099073_2024-03-31_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