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
2019-10-13 12:31:40	ga_ls8c_ard_3-2-1_122067_2019-10-13_final
2019-12-31 10:08:57	ga_ls8c_ard_3-2-1_099066_2019-12-31_final
2020-10-02 08:11:02	ga_ls8c_ard_3-2-1_079080_2020-10-01_final
2022-04-13 11:42:16	ga_ls8c_ard_3-2-1_113084_2022-04-13_final
2022-06-08 09:15:48	ga_ls8c_ard_3-2-1_089088_2022-06-07_final
2022-10-08 08:11:17	ga_ls8c_ard_3-2-1_079080_2022-10-07_final
2023-01-08 10:09:08	ga_ls8c_ard_3-2-1_099066_2023-01-08_final
2023-01-15 11:57:42	ga_ls8c_ard_3-2-1_116075_2023-01-15_final
2023-09-21 10:08:48	ga_ls8c_ard_3-2-1_099066_2023-09-21_final
2023-12-13 10:45:47	ga_ls8c_ard_3-2-1_104081_2023-12-13_final
2023-12-16 09:38:14	ga_ls8c_ard_3-2-1_093082_2023-12-16_final
2023-12-17 10:21:54	ga_ls8c_ard_3-2-1_100083_2023-12-17_final
2023-12-18 10:59:59	ga_ls8c_ard_3-2-1_107070_2023-12-18_final
2023-12-18 11:01:58	ga_ls8c_ard_3-2-1_107075_2023-12-18_final
2023-12-21 09:55:36	ga_ls8c_ard_3-2-1_096079_2023-12-21_final
2023-12-23 09:42:26	ga_ls8c_ard_3-2-1_094077_2023-12-23_final
2023-12-23 09:46:26	ga_ls8c_ard_3-2-1_094087_2023-12-23_final
2023-12-25 11:08:57	ga_ls8c_ard_3-2-1_108077_2023-12-25_final
2023-12-30 09:48:57	ga_ls8c_ard_3-2-1_095078_2023-12-30_final
2023-12-30 09:49:45	ga_ls8c_ard_3-2-1_095080_2023-12-30_final
2023-12-30 11:28:14	ga_ls8c_ard_3-2-1_111079_2023-12-30_final
2024-01-01 09:33:46	ga_ls8c_ard_3-2-1_093071_2024-01-01_final
2024-01-01 09:38:10	ga_ls8c_ard_3-2-1_093082_2024-01-01_final
2024-01-02 10:20:13	ga_ls8c_ard_3-2-1_100079_2024-01-02_final
2024-01-02 10:20:37	ga_ls8c_ard_3-2-1_100080_2024-01-02_final
2024-01-03 10:59:52	ga_ls8c_ard_3-2-1_107070_2024-01-03_final
2024-01-04 10:09:01	ga_ls8c_ard_3-2-1_098082_2024-01-04_final
2024-01-05 09:16:10	ga_ls8c_ard_3-2-1_089089_2024-01-04_final
2024-01-08 09:40:43	ga_ls8c_ard_3-2-1_094073_2024-01-08_final
2024-01-11 10:14:50	ga_ls8c_ard_3-2-1_099081_2024-01-11_final
2024-01-12 09:18:49	ga_ls8c_ard_3-2-1_090080_2024-01-11_final
2024-01-12 09:21:13	ga_ls8c_ard_3-2-1_090086_2024-01-11_final
2024-01-17 11:16:38	ga_ls8c_ard_3-2-1_109081_2024-01-17_final
2024-01-18 10:20:13	ga_ls8c_ard_3-2-1_100079_2024-01-18_final
2024-01-19 11:01:52	ga_ls8c_ard_3-2-1_107075_2024-01-19_final
2024-01-20 10:09:02	ga_ls8c_ard_3-2-1_098082_2024-01-20_final
2024-01-20 10:09:26	ga_ls8c_ard_3-2-1_098083_2024-01-20_final
2024-01-22 09:55:51	ga_ls8c_ard_3-2-1_096080_2024-01-22_final
2024-01-22 09:57:27	ga_ls8c_ard_3-2-1_096084_2024-01-22_final
2024-01-22 09:57:51	ga_ls8c_ard_3-2-1_096085_2024-01-22_final
2024-01-23 10:36:42	ga_ls8c_ard_3-2-1_103074_2024-01-23_final
2024-01-23 10:39:54	ga_ls8c_ard_3-2-1_103082_2024-01-23_final
2024-01-24 09:45:51	ga_ls8c_ard_3-2-1_094086_2024-01-24_final
2024-01-25 10:24:18	ga_ls8c_ard_3-2-1_101074_2024-01-25_final
2024-01-25 10:27:30	ga_ls8c_ard_3-2-1_101082_2024-01-25_final
2024-01-31 09:48:51	ga_ls8c_ard_3-2-1_095078_2024-01-31_final
2024-02-02 09:37:18	ga_ls8c_ard_3-2-1_093080_2024-02-02_final
2024-02-02 11:13:48	ga_ls8c_ard_3-2-1_109074_2024-02-02_final
2024-02-05 10:09:02	ga_ls8c_ard_3-2-1_098082_2024-02-05_final
2024-02-06 10:50:42	ga_ls8c_ard_3-2-1_105078_2024-02-06_final
2024-02-07 09:55:05	ga_ls8c_ard_3-2-1_096078_2024-02-07_final
2024-02-07 09:57:52	ga_ls8c_ard_3-2-1_096085_2024-02-07_final
2024-02-09 11:24:00	ga_ls8c_ard_3-2-1_110084_2024-02-09_final
2024-02-10 10:24:23	ga_ls8c_ard_3-2-1_101074_2024-02-10_final
2024-02-11 11:11:38	ga_ls8c_ard_3-2-1_108084_2024-02-11_final
2024-02-12 10:15:13	ga_ls8c_ard_3-2-1_099082_2024-02-12_final
2024-02-13 10:57:40	ga_ls8c_ard_3-2-1_106080_2024-02-13_final
2024-02-14 11:41:19	ga_ls8c_ard_3-2-1_113081_2024-02-14_final
2024-02-18 09:38:54	ga_ls8c_ard_3-2-1_093084_2024-02-18_final
2024-02-18 11:16:11	ga_ls8c_ard_3-2-1_109080_2024-02-18_final
2024-02-19 10:20:10	ga_ls8c_ard_3-2-1_100079_2024-02-19_final
2024-02-23 09:55:26	ga_ls8c_ard_3-2-1_096079_2024-02-23_final
2024-02-25 09:45:03	ga_ls8c_ard_3-2-1_094084_2024-02-25_final
2024-02-25 09:45:27	ga_ls8c_ard_3-2-1_094085_2024-02-25_final
2024-02-27 09:33:52	ga_ls8c_ard_3-2-1_092087_2024-02-27_final
2024-02-27 11:09:57	ga_ls8c_ard_3-2-1_108080_2024-02-27_final
2024-03-01 10:03:31	ga_ls8c_ard_3-2-1_097084_2024-03-01_final
2024-03-03 09:51:08	ga_ls8c_ard_3-2-1_095084_2024-03-03_final
2024-03-03 11:24:02	ga_ls8c_ard_3-2-1_111069_2024-03-03_final
2024-03-03 11:28:01	ga_ls8c_ard_3-2-1_111079_2024-03-03_final
2024-03-05 09:37:08	ga_ls8c_ard_3-2-1_093080_2024-03-05_final
2024-03-06 10:20:23	ga_ls8c_ard_3-2-1_100080_2024-03-06_final
2024-03-07 09:23:56	ga_ls8c_ard_3-2-1_091078_2024-03-06_final
2024-03-08 10:09:12	ga_ls8c_ard_3-2-1_098083_2024-03-08_final
2024-03-10 11:35:43	ga_ls8c_ard_3-2-1_112083_2024-03-10_final
2024-03-11 10:36:06	ga_ls8c_ard_3-2-1_103073_2024-03-11_final
2024-03-12 09:43:40	ga_ls8c_ard_3-2-1_094081_2024-03-12_final
2024-03-13 10:24:07	ga_ls8c_ard_3-2-1_101074_2024-03-13_final
2024-03-14 09:30:29	ga_ls8c_ard_3-2-1_092079_2024-03-14_final
2024-03-14 11:11:22	ga_ls8c_ard_3-2-1_108084_2024-03-14_final
2024-03-18 10:42:37	ga_ls8c_ard_3-2-1_104074_2024-03-18_final
2024-03-20 10:33:25	ga_ls8c_ard_3-2-1_102082_2024-03-20_final
2024-03-21 09:38:59	ga_ls8c_ard_3-2-1_093085_2024-03-21_final
2024-03-25 10:50:40	ga_ls8c_ard_3-2-1_105079_2024-03-25_final
2024-03-26 11:34:17	ga_ls8c_ard_3-2-1_112080_2024-03-26_final
2024-03-28 09:43:24	ga_ls8c_ard_3-2-1_094081_2024-03-28_final
2024-03-28 09:44:36	ga_ls8c_ard_3-2-1_094084_2024-03-28_final
2024-03-28 11:19:30	ga_ls8c_ard_3-2-1_110074_2024-03-28_final
2024-03-28 11:20:18	ga_ls8c_ard_3-2-1_110076_2024-03-28_final
2024-03-30 11:08:45	ga_ls8c_ard_3-2-1_108078_2024-03-30_final
2024-03-30 11:11:08	ga_ls8c_ard_3-2-1_108084_2024-03-30_final
2024-03-31 10:11:56	ga_ls8c_ard_3-2-1_099075_2024-03-31_final
2024-04-01 10:53:12	ga_ls8c_ard_3-2-1_106070_2024-04-01_final
2024-04-06 09:37:15	ga_ls8c_ard_3-2-1_093081_2024-04-06_final
2024-04-06 11:16:08	ga_ls8c_ard_3-2-1_109081_2024-04-06_final
2024-04-07 10:16:31	ga_ls8c_ard_3-2-1_100071_2024-04-07_final
2024-04-07 10:19:42	ga_ls8c_ard_3-2-1_100079_2024-04-07_final
2024-04-07 10:20:30	ga_ls8c_ard_3-2-1_100081_2024-04-07_final
2024-04-07 11:57:47	ga_ls8c_ard_3-2-1_116077_2024-04-07_final
2024-04-08 09:25:40	ga_ls8c_ard_3-2-1_091083_2024-04-07_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years