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
2021-01-18 10:08:53	ga_ls8c_ard_3-2-1_099066_2021-01-18_final
2022-10-08 08:11:17	ga_ls8c_ard_3-2-1_079080_2022-10-07_final
2022-11-12 08:43:00	ga_ls8c_ard_3-2-1_084082_2022-11-11_final
2022-12-09 11:42:59	ga_ls8c_ard_3-2-1_113084_2022-12-09_final
2023-11-23 11:07:24	ga_ls8c_ard_3-2-1_108073_2023-11-23_final
2023-11-24 10:14:10	ga_ls8c_ard_3-2-1_099079_2023-11-24_final
2023-11-24 10:15:22	ga_ls8c_ard_3-2-1_099082_2023-11-24_final
2023-11-24 10:15:46	ga_ls8c_ard_3-2-1_099083_2023-11-24_final
2023-11-26 10:03:00	ga_ls8c_ard_3-2-1_097082_2023-11-26_final
2023-11-30 09:35:27	ga_ls8c_ard_3-2-1_093075_2023-11-30_final
2023-11-30 11:14:20	ga_ls8c_ard_3-2-1_109075_2023-11-30_final
2023-12-02 09:23:28	ga_ls8c_ard_3-2-1_091076_2023-12-01_final
2023-12-02 11:04:44	ga_ls8c_ard_3-2-1_107082_2023-12-02_final
2023-12-02 11:05:08	ga_ls8c_ard_3-2-1_107083_2023-12-02_final
2023-12-03 10:09:54	ga_ls8c_ard_3-2-1_098084_2023-12-03_final
2023-12-04 10:52:20	ga_ls8c_ard_3-2-1_105082_2023-12-04_final
2023-12-06 10:39:56	ga_ls8c_ard_3-2-1_103082_2023-12-06_final
2023-12-09 09:31:10	ga_ls8c_ard_3-2-1_092080_2023-12-09_final
2023-12-09 11:06:28	ga_ls8c_ard_3-2-1_108071_2023-12-09_final
2023-12-11 09:20:50	ga_ls8c_ard_3-2-1_090085_2023-12-10_final
2023-12-12 10:03:42	ga_ls8c_ard_3-2-1_097084_2023-12-12_final
2023-12-13 10:41:48	ga_ls8c_ard_3-2-1_104071_2023-12-13_final
2023-12-13 10:42:11	ga_ls8c_ard_3-2-1_104072_2023-12-13_final
2023-12-14 09:50:58	ga_ls8c_ard_3-2-1_095083_2023-12-14_final
2023-12-17 10:21:54	ga_ls8c_ard_3-2-1_100083_2023-12-17_final
2023-12-18 09:26:17	ga_ls8c_ard_3-2-1_091083_2023-12-17_final
2023-12-18 11:00:23	ga_ls8c_ard_3-2-1_107071_2023-12-18_final
2023-12-18 11:01:58	ga_ls8c_ard_3-2-1_107075_2023-12-18_final
2023-12-20 10:48:01	ga_ls8c_ard_3-2-1_105071_2023-12-20_final
2023-12-23 09:41:38	ga_ls8c_ard_3-2-1_094075_2023-12-23_final
2023-12-25 09:31:16	ga_ls8c_ard_3-2-1_092080_2023-12-25_final
2023-12-25 11:08:09	ga_ls8c_ard_3-2-1_108075_2023-12-25_final
2023-12-27 09:22:53	ga_ls8c_ard_3-2-1_090090_2023-12-26_final
2023-12-27 10:54:59	ga_ls8c_ard_3-2-1_106073_2023-12-27_final
2024-01-01 09:37:46	ga_ls8c_ard_3-2-1_093081_2024-01-01_final
2024-01-01 09:39:22	ga_ls8c_ard_3-2-1_093085_2024-01-01_final
2024-01-02 10:21:25	ga_ls8c_ard_3-2-1_100082_2024-01-02_final
2024-01-04 10:03:26	ga_ls8c_ard_3-2-1_098068_2024-01-04_final
2024-01-05 10:51:28	ga_ls8c_ard_3-2-1_105080_2024-01-05_final
2024-01-08 11:20:00	ga_ls8c_ard_3-2-1_110074_2024-01-08_final
2024-01-12 09:20:01	ga_ls8c_ard_3-2-1_090083_2024-01-11_final
2024-01-12 09:21:13	ga_ls8c_ard_3-2-1_090086_2024-01-11_final
2024-01-12 09:22:49	ga_ls8c_ard_3-2-1_090090_2024-01-11_final
2024-01-13 09:59:41	ga_ls8c_ard_3-2-1_097074_2024-01-13_final
2024-01-15 09:47:44	ga_ls8c_ard_3-2-1_095075_2024-01-15_final
2024-01-15 11:25:01	ga_ls8c_ard_3-2-1_111071_2024-01-15_final
2024-01-17 09:35:22	ga_ls8c_ard_3-2-1_093075_2024-01-17_final
2024-01-18 10:22:12	ga_ls8c_ard_3-2-1_100084_2024-01-18_final
2024-01-19 09:24:35	ga_ls8c_ard_3-2-1_091079_2024-01-18_final
2024-01-20 10:05:26	ga_ls8c_ard_3-2-1_098073_2024-01-20_final
2024-01-20 10:09:26	ga_ls8c_ard_3-2-1_098083_2024-01-20_final
2024-01-21 10:51:05	ga_ls8c_ard_3-2-1_105079_2024-01-21_final
2024-01-22 09:53:27	ga_ls8c_ard_3-2-1_096074_2024-01-22_final
2024-01-22 09:57:51	ga_ls8c_ard_3-2-1_096085_2024-01-22_final
2024-01-22 11:32:20	ga_ls8c_ard_3-2-1_112074_2024-01-22_final
2024-01-24 09:41:04	ga_ls8c_ard_3-2-1_094074_2024-01-24_final
2024-01-24 11:23:32	ga_ls8c_ard_3-2-1_110083_2024-01-24_final
2024-01-26 09:31:28	ga_ls8c_ard_3-2-1_092081_2024-01-26_final
2024-01-27 10:15:31	ga_ls8c_ard_3-2-1_099083_2024-01-27_final
2024-01-30 10:44:52	ga_ls8c_ard_3-2-1_104079_2024-01-30_final
2024-01-31 09:50:51	ga_ls8c_ard_3-2-1_095083_2024-01-31_final
2024-02-02 09:37:42	ga_ls8c_ard_3-2-1_093081_2024-02-02_final
2024-02-02 09:39:18	ga_ls8c_ard_3-2-1_093085_2024-02-02_final
2024-02-05 10:05:50	ga_ls8c_ard_3-2-1_098074_2024-02-05_final
2024-02-08 10:39:08	ga_ls8c_ard_3-2-1_103080_2024-02-08_final
2024-02-09 09:45:07	ga_ls8c_ard_3-2-1_094084_2024-02-09_final
2024-02-11 09:31:09	ga_ls8c_ard_3-2-1_092080_2024-02-11_final
2024-02-11 09:31:33	ga_ls8c_ard_3-2-1_092081_2024-02-11_final
2024-02-12 10:12:25	ga_ls8c_ard_3-2-1_099075_2024-02-12_final
2024-02-13 10:55:16	ga_ls8c_ard_3-2-1_106074_2024-02-13_final
2024-02-15 09:06:24	ga_ls8c_ard_3-2-1_088080_2024-02-14_final
2024-02-15 10:41:42	ga_ls8c_ard_3-2-1_104071_2024-02-15_final
2024-02-16 09:51:39	ga_ls8c_ard_3-2-1_095085_2024-02-16_final
2024-02-18 09:40:06	ga_ls8c_ard_3-2-1_093087_2024-02-18_final
2024-02-21 10:05:48	ga_ls8c_ard_3-2-1_098074_2024-02-21_final
2024-02-21 10:09:48	ga_ls8c_ard_3-2-1_098084_2024-02-21_final
2024-02-22 09:14:58	ga_ls8c_ard_3-2-1_089086_2024-02-21_final
2024-02-22 10:48:16	ga_ls8c_ard_3-2-1_105072_2024-02-22_final
2024-02-22 10:51:03	ga_ls8c_ard_3-2-1_105079_2024-02-22_final
2024-02-25 09:40:39	ga_ls8c_ard_3-2-1_094073_2024-02-25_final
2024-02-25 11:19:32	ga_ls8c_ard_3-2-1_110073_2024-02-25_final
2024-02-27 09:31:28	ga_ls8c_ard_3-2-1_092081_2024-02-27_final
2024-02-27 09:31:52	ga_ls8c_ard_3-2-1_092082_2024-02-27_final
2024-02-29 10:53:58	ga_ls8c_ard_3-2-1_106071_2024-02-29_final
2024-02-29 10:57:34	ga_ls8c_ard_3-2-1_106080_2024-02-29_final
2024-02-29 10:58:22	ga_ls8c_ard_3-2-1_106082_2024-02-29_final
2024-03-02 10:41:11	ga_ls8c_ard_3-2-1_104070_2024-03-02_final
2024-03-03 09:50:20	ga_ls8c_ard_3-2-1_095082_2024-03-03_final
2024-03-03 09:50:44	ga_ls8c_ard_3-2-1_095083_2024-03-03_final
2024-03-03 11:29:37	ga_ls8c_ard_3-2-1_111083_2024-03-03_final
2024-03-05 09:35:08	ga_ls8c_ard_3-2-1_093075_2024-03-05_final
2024-03-06 10:17:59	ga_ls8c_ard_3-2-1_100074_2024-03-06_final
2024-03-06 10:21:58	ga_ls8c_ard_3-2-1_100084_2024-03-06_final
2024-03-08 10:07:12	ga_ls8c_ard_3-2-1_098078_2024-03-08_final
2024-03-08 10:08:00	ga_ls8c_ard_3-2-1_098080_2024-03-08_final
2024-03-08 10:10:00	ga_ls8c_ard_3-2-1_098085_2024-03-08_final
2024-03-08 11:47:17	ga_ls8c_ard_3-2-1_114081_2024-03-08_final
2024-03-09 09:14:46	ga_ls8c_ard_3-2-1_089086_2024-03-08_final
2024-03-11 10:34:06	ga_ls8c_ard_3-2-1_103068_2024-03-11_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