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
2016-11-24 08:11:03	ga_ls8c_ard_3-2-1_079080_2016-11-23_final
2016-12-30 12:37:41	ga_ls8c_ard_3-2-1_123067_2016-12-30_final
2019-10-13 12:31:40	ga_ls8c_ard_3-2-1_122067_2019-10-13_final
2020-05-11 08:10:07	ga_ls8c_ard_3-2-1_079080_2020-05-10_final
2022-01-29 12:37:36	ga_ls8c_ard_3-2-1_123067_2022-01-29_final
2022-05-07 09:15:34	ga_ls8c_ard_3-2-1_089088_2022-05-06_final
2022-10-08 08:11:17	ga_ls8c_ard_3-2-1_079080_2022-10-07_final
2023-03-04 11:57:25	ga_ls8c_ard_3-2-1_116075_2023-03-04_final
2023-03-20 11:57:17	ga_ls8c_ard_3-2-1_116075_2023-03-20_final
2023-04-21 11:56:54	ga_ls8c_ard_3-2-1_116075_2023-04-21_final
2023-12-28 11:39:26	ga_ls8c_ard_3-2-1_113076_2023-12-28_final
2024-01-02 10:18:13	ga_ls8c_ard_3-2-1_100074_2024-01-02_final
2024-01-03 09:28:10	ga_ls8c_ard_3-2-1_091088_2024-01-02_final
2024-01-04 11:45:54	ga_ls8c_ard_3-2-1_114077_2024-01-04_final
2024-01-06 11:33:56	ga_ls8c_ard_3-2-1_112078_2024-01-06_final
2024-01-07 10:37:32	ga_ls8c_ard_3-2-1_103076_2024-01-07_final
2024-01-08 11:21:36	ga_ls8c_ard_3-2-1_110078_2024-01-08_final
2024-01-10 09:28:46	ga_ls8c_ard_3-2-1_092074_2024-01-09_final
2024-01-11 10:15:14	ga_ls8c_ard_3-2-1_099082_2024-01-11_final
2024-01-12 10:56:30	ga_ls8c_ard_3-2-1_106077_2024-01-12_final
2024-01-13 11:39:22	ga_ls8c_ard_3-2-1_113076_2024-01-13_final
2024-01-14 10:43:21	ga_ls8c_ard_3-2-1_104075_2024-01-14_final
2024-01-14 10:44:57	ga_ls8c_ard_3-2-1_104079_2024-01-14_final
2024-01-15 09:50:55	ga_ls8c_ard_3-2-1_095083_2024-01-15_final
2024-01-15 09:52:31	ga_ls8c_ard_3-2-1_095087_2024-01-15_final
2024-01-15 11:29:00	ga_ls8c_ard_3-2-1_111081_2024-01-15_final
2024-01-17 11:14:15	ga_ls8c_ard_3-2-1_109075_2024-01-17_final
2024-01-21 09:13:24	ga_ls8c_ard_3-2-1_089082_2024-01-20_final
2024-01-21 09:15:00	ga_ls8c_ard_3-2-1_089086_2024-01-20_final
2024-01-21 10:51:29	ga_ls8c_ard_3-2-1_105080_2024-01-21_final
2024-01-22 09:53:03	ga_ls8c_ard_3-2-1_096073_2024-01-22_final
2024-01-23 10:37:30	ga_ls8c_ard_3-2-1_103076_2024-01-23_final
2024-01-28 09:21:06	ga_ls8c_ard_3-2-1_090086_2024-01-27_final
2024-01-29 10:02:23	ga_ls8c_ard_3-2-1_097081_2024-01-29_final
2024-01-31 09:49:39	ga_ls8c_ard_3-2-1_095080_2024-01-31_final
2024-02-01 10:30:55	ga_ls8c_ard_3-2-1_102075_2024-02-01_final
2024-02-02 09:36:31	ga_ls8c_ard_3-2-1_093078_2024-02-02_final
2024-02-04 11:00:15	ga_ls8c_ard_3-2-1_107071_2024-02-04_final
2024-02-07 09:54:17	ga_ls8c_ard_3-2-1_096076_2024-02-07_final
2024-02-07 09:57:52	ga_ls8c_ard_3-2-1_096085_2024-02-07_final
2024-02-08 10:38:21	ga_ls8c_ard_3-2-1_103078_2024-02-08_final
2024-02-08 10:39:08	ga_ls8c_ard_3-2-1_103080_2024-02-08_final
2024-02-09 11:20:24	ga_ls8c_ard_3-2-1_110075_2024-02-09_final
2024-02-11 09:29:57	ga_ls8c_ard_3-2-1_092077_2024-02-10_final
2024-02-11 09:31:09	ga_ls8c_ard_3-2-1_092080_2024-02-11_final
2024-02-11 09:33:09	ga_ls8c_ard_3-2-1_092085_2024-02-11_final
2024-02-11 09:33:33	ga_ls8c_ard_3-2-1_092086_2024-02-11_final
2024-02-14 10:03:14	ga_ls8c_ard_3-2-1_097083_2024-02-14_final
2024-02-14 11:38:31	ga_ls8c_ard_3-2-1_113074_2024-02-14_final
2024-02-14 11:39:19	ga_ls8c_ard_3-2-1_113076_2024-02-14_final
2024-02-14 11:39:43	ga_ls8c_ard_3-2-1_113077_2024-02-14_final
2024-02-14 11:40:55	ga_ls8c_ard_3-2-1_113080_2024-02-14_final
2024-02-15 10:44:53	ga_ls8c_ard_3-2-1_104079_2024-02-15_final
2024-02-16 09:51:39	ga_ls8c_ard_3-2-1_095085_2024-02-16_final
2024-02-16 09:52:03	ga_ls8c_ard_3-2-1_095086_2024-02-16_final
2024-02-18 11:17:23	ga_ls8c_ard_3-2-1_109083_2024-02-18_final
2024-02-19 11:58:15	ga_ls8c_ard_3-2-1_116077_2024-02-19_final
2024-02-22 10:47:04	ga_ls8c_ard_3-2-1_105069_2024-02-22_final
2024-02-22 10:51:03	ga_ls8c_ard_3-2-1_105079_2024-02-22_final
2024-02-24 10:39:05	ga_ls8c_ard_3-2-1_103080_2024-02-24_final
2024-02-24 10:39:53	ga_ls8c_ard_3-2-1_103082_2024-02-24_final
2024-02-25 09:43:27	ga_ls8c_ard_3-2-1_094080_2024-02-25_final
2024-02-25 09:45:03	ga_ls8c_ard_3-2-1_094084_2024-02-25_final
2024-02-25 11:20:20	ga_ls8c_ard_3-2-1_110075_2024-02-25_final
2024-02-26 10:26:42	ga_ls8c_ard_3-2-1_101080_2024-02-26_final
2024-02-27 09:29:52	ga_ls8c_ard_3-2-1_092077_2024-02-26_final
2024-03-01 10:00:44	ga_ls8c_ard_3-2-1_097077_2024-03-01_final
2024-03-02 10:40:47	ga_ls8c_ard_3-2-1_104069_2024-03-02_final
2024-03-03 09:50:44	ga_ls8c_ard_3-2-1_095083_2024-03-03_final
2024-03-07 09:27:08	ga_ls8c_ard_3-2-1_091086_2024-03-06_final
2024-03-08 10:10:00	ga_ls8c_ard_3-2-1_098085_2024-03-08_final
2024-03-10 09:53:14	ga_ls8c_ard_3-2-1_096074_2024-03-10_final
2024-03-10 09:56:02	ga_ls8c_ard_3-2-1_096081_2024-03-10_final
2024-03-11 10:38:53	ga_ls8c_ard_3-2-1_103080_2024-03-11_final
2024-03-12 09:44:52	ga_ls8c_ard_3-2-1_094084_2024-03-12_final
2024-03-13 10:26:31	ga_ls8c_ard_3-2-1_101080_2024-03-13_final
2024-03-14 11:09:22	ga_ls8c_ard_3-2-1_108079_2024-03-14_final
2024-03-16 09:21:42	ga_ls8c_ard_3-2-1_090088_2024-03-15_final
2024-03-16 10:55:24	ga_ls8c_ard_3-2-1_106075_2024-03-16_final
2024-03-17 11:39:03	ga_ls8c_ard_3-2-1_113076_2024-03-17_final
2024-03-20 10:31:49	ga_ls8c_ard_3-2-1_102078_2024-03-20_final
2024-03-20 10:32:13	ga_ls8c_ard_3-2-1_102079_2024-03-20_final
2024-03-21 09:36:11	ga_ls8c_ard_3-2-1_093078_2024-03-21_final
2024-03-21 09:36:59	ga_ls8c_ard_3-2-1_093080_2024-03-21_final
2024-03-22 10:21:26	ga_ls8c_ard_3-2-1_100083_2024-03-22_final
2024-03-23 09:26:35	ga_ls8c_ard_3-2-1_091085_2024-03-22_final
2024-03-23 09:28:11	ga_ls8c_ard_3-2-1_091089_2024-03-22_final
2024-03-23 11:04:40	ga_ls8c_ard_3-2-1_107083_2024-03-23_final
2024-03-26 09:57:00	ga_ls8c_ard_3-2-1_096084_2024-03-26_final
2024-03-29 10:24:17	ga_ls8c_ard_3-2-1_101075_2024-03-29_final
2024-03-30 11:11:08	ga_ls8c_ard_3-2-1_108084_2024-03-30_final
2024-04-02 10:00:22	ga_ls8c_ard_3-2-1_097077_2024-04-02_final
2024-04-02 11:38:51	ga_ls8c_ard_3-2-1_113076_2024-04-02_final
2024-04-02 11:40:03	ga_ls8c_ard_3-2-1_113079_2024-04-02_final
2024-04-02 11:40:27	ga_ls8c_ard_3-2-1_113080_2024-04-02_final
2024-04-03 10:41:38	ga_ls8c_ard_3-2-1_104072_2024-04-03_final
2024-04-06 09:36:03	ga_ls8c_ard_3-2-1_093078_2024-04-06_final
2024-04-07 11:56:59	ga_ls8c_ard_3-2-1_116075_2024-04-07_final
2024-04-08 09:23:41	ga_ls8c_ard_3-2-1_091078_2024-04-07_final
2024-04-08 11:02:57	ga_ls8c_ard_3-2-1_107079_2024-04-08_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