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:

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First 100 results (query limit)

Time (local)	Label
2020-08-27 10:08:51	ga_ls8c_ard_3-2-1_099066_2020-08-27_final
2021-03-24 12:31:05	ga_ls8c_ard_3-2-1_122067_2021-03-24_final
2022-03-17 11:57:18	ga_ls8c_ard_3-2-1_116075_2022-03-17_final
2022-03-28 11:42:12	ga_ls8c_ard_3-2-1_113084_2022-03-28_final
2022-05-04 11:57:13	ga_ls8c_ard_3-2-1_116075_2022-05-04_final
2022-10-08 08:11:17	ga_ls8c_ard_3-2-1_079080_2022-10-07_final
2022-12-30 11:57:48	ga_ls8c_ard_3-2-1_116075_2022-12-30_final
2023-02-27 11:42:30	ga_ls8c_ard_3-2-1_113084_2023-02-27_final
2023-11-07 09:30:50	ga_ls8c_ard_3-2-1_092079_2023-11-07_final
2023-11-08 11:53:21	ga_ls8c_ard_3-2-1_115080_2023-11-08_final
2023-11-09 09:18:26	ga_ls8c_ard_3-2-1_090079_2023-11-08_final
2023-11-09 10:57:19	ga_ls8c_ard_3-2-1_106079_2023-11-09_final
2023-11-10 10:00:29	ga_ls8c_ard_3-2-1_097076_2023-11-10_final
2023-11-10 10:02:28	ga_ls8c_ard_3-2-1_097081_2023-11-10_final
2023-11-11 09:07:40	ga_ls8c_ard_3-2-1_088083_2023-11-10_final
2023-11-11 10:44:09	ga_ls8c_ard_3-2-1_104077_2023-11-11_final
2023-11-11 10:44:33	ga_ls8c_ard_3-2-1_104078_2023-11-11_final
2023-11-17 10:06:21	ga_ls8c_ard_3-2-1_098075_2023-11-17_final
2023-11-18 09:15:56	ga_ls8c_ard_3-2-1_089088_2023-11-17_final
2023-11-19 09:56:48	ga_ls8c_ard_3-2-1_096082_2023-11-19_final
2023-11-23 11:05:48	ga_ls8c_ard_3-2-1_108069_2023-11-23_final
2023-11-25 10:56:38	ga_ls8c_ard_3-2-1_106077_2023-11-25_final
2023-11-29 10:33:05	ga_ls8c_ard_3-2-1_102080_2023-11-29_final
2023-12-06 10:35:09	ga_ls8c_ard_3-2-1_103070_2023-12-06_final
2023-12-06 10:37:32	ga_ls8c_ard_3-2-1_103076_2023-12-06_final
2023-12-07 09:42:18	ga_ls8c_ard_3-2-1_094077_2023-12-07_final
2023-12-07 09:45:54	ga_ls8c_ard_3-2-1_094086_2023-12-07_final
2023-12-09 09:30:22	ga_ls8c_ard_3-2-1_092078_2023-12-09_final
2023-12-09 09:30:46	ga_ls8c_ard_3-2-1_092079_2023-12-09_final
2023-12-09 09:31:10	ga_ls8c_ard_3-2-1_092080_2023-12-09_final
2023-12-09 09:31:34	ga_ls8c_ard_3-2-1_092081_2023-12-09_final
2023-12-10 10:12:51	ga_ls8c_ard_3-2-1_099076_2023-12-10_final
2023-12-11 09:18:26	ga_ls8c_ard_3-2-1_090079_2023-12-10_final
2023-12-12 10:02:31	ga_ls8c_ard_3-2-1_097081_2023-12-12_final
2023-12-12 11:40:12	ga_ls8c_ard_3-2-1_113078_2023-12-12_final
2023-12-14 11:29:27	ga_ls8c_ard_3-2-1_111082_2023-12-14_final
2023-12-16 09:36:14	ga_ls8c_ard_3-2-1_093077_2023-12-16_final
2023-12-16 09:37:50	ga_ls8c_ard_3-2-1_093081_2023-12-16_final
2023-12-17 10:20:42	ga_ls8c_ard_3-2-1_100080_2023-12-17_final
2023-12-18 11:04:22	ga_ls8c_ard_3-2-1_107081_2023-12-18_final
2023-12-23 09:43:38	ga_ls8c_ard_3-2-1_094080_2023-12-23_final
2023-12-23 11:22:31	ga_ls8c_ard_3-2-1_110080_2023-12-23_final
2023-12-25 09:31:16	ga_ls8c_ard_3-2-1_092080_2023-12-25_final
2023-12-25 09:31:40	ga_ls8c_ard_3-2-1_092081_2023-12-25_final
2023-12-27 09:19:17	ga_ls8c_ard_3-2-1_090081_2023-12-26_final
2024-01-01 11:15:03	ga_ls8c_ard_3-2-1_109077_2024-01-01_final
2024-01-01 11:16:15	ga_ls8c_ard_3-2-1_109080_2024-01-01_final
2024-01-03 09:24:34	ga_ls8c_ard_3-2-1_091079_2024-01-02_final
2024-01-04 10:05:49	ga_ls8c_ard_3-2-1_098074_2024-01-04_final
2024-01-04 11:46:42	ga_ls8c_ard_3-2-1_114079_2024-01-04_final
2024-01-05 10:47:52	ga_ls8c_ard_3-2-1_105071_2024-01-05_final
2024-01-07 10:35:08	ga_ls8c_ard_3-2-1_103070_2024-01-07_final
2024-01-07 10:39:31	ga_ls8c_ard_3-2-1_103081_2024-01-07_final
2024-01-08 09:41:31	ga_ls8c_ard_3-2-1_094075_2024-01-08_final
2024-01-08 11:22:24	ga_ls8c_ard_3-2-1_110080_2024-01-08_final
2024-01-12 09:19:13	ga_ls8c_ard_3-2-1_090081_2024-01-11_final
2024-01-13 10:00:53	ga_ls8c_ard_3-2-1_097077_2024-01-13_final
2024-01-15 09:50:07	ga_ls8c_ard_3-2-1_095081_2024-01-15_final
2024-01-15 09:51:43	ga_ls8c_ard_3-2-1_095085_2024-01-15_final
2024-01-15 11:27:01	ga_ls8c_ard_3-2-1_111076_2024-01-15_final
2024-01-17 09:36:09	ga_ls8c_ard_3-2-1_093077_2024-01-17_final
2024-01-17 09:36:57	ga_ls8c_ard_3-2-1_093079_2024-01-17_final
2024-01-17 11:15:50	ga_ls8c_ard_3-2-1_109079_2024-01-17_final
2024-01-18 10:17:49	ga_ls8c_ard_3-2-1_100073_2024-01-18_final
2024-01-19 11:03:52	ga_ls8c_ard_3-2-1_107080_2024-01-19_final
2024-01-22 11:34:20	ga_ls8c_ard_3-2-1_112079_2024-01-22_final
2024-01-24 09:43:03	ga_ls8c_ard_3-2-1_094079_2024-01-24_final
2024-01-25 10:26:18	ga_ls8c_ard_3-2-1_101079_2024-01-25_final
2024-01-25 10:26:42	ga_ls8c_ard_3-2-1_101080_2024-01-25_final
2024-01-26 09:32:15	ga_ls8c_ard_3-2-1_092083_2024-01-26_final
2024-01-27 11:52:00	ga_ls8c_ard_3-2-1_115077_2024-01-27_final
2024-01-28 09:19:54	ga_ls8c_ard_3-2-1_090083_2024-01-27_final
2024-01-29 09:57:36	ga_ls8c_ard_3-2-1_097069_2024-01-29_final
2024-01-29 10:01:59	ga_ls8c_ard_3-2-1_097080_2024-01-29_final
2024-01-30 10:43:40	ga_ls8c_ard_3-2-1_104076_2024-01-30_final
2024-01-30 10:44:04	ga_ls8c_ard_3-2-1_104077_2024-01-30_final
2024-02-02 09:36:31	ga_ls8c_ard_3-2-1_093078_2024-02-02_final
2024-02-02 11:16:11	ga_ls8c_ard_3-2-1_109080_2024-02-02_final
2024-02-03 11:58:16	ga_ls8c_ard_3-2-1_116077_2024-02-03_final
2024-02-06 10:51:30	ga_ls8c_ard_3-2-1_105080_2024-02-06_final
2024-02-07 09:56:17	ga_ls8c_ard_3-2-1_096081_2024-02-07_final
2024-02-11 11:11:38	ga_ls8c_ard_3-2-1_108084_2024-02-11_final
2024-02-13 10:56:52	ga_ls8c_ard_3-2-1_106078_2024-02-13_final
2024-02-13 10:57:16	ga_ls8c_ard_3-2-1_106079_2024-02-13_final
2024-02-14 11:39:43	ga_ls8c_ard_3-2-1_113077_2024-02-14_final
2024-02-15 10:45:17	ga_ls8c_ard_3-2-1_104080_2024-02-15_final
2024-02-16 11:29:44	ga_ls8c_ard_3-2-1_111083_2024-02-16_final
2024-02-17 10:31:20	ga_ls8c_ard_3-2-1_102076_2024-02-17_final
2024-02-18 09:36:30	ga_ls8c_ard_3-2-1_093078_2024-02-18_final
2024-02-21 11:46:41	ga_ls8c_ard_3-2-1_114079_2024-02-21_final
2024-02-29 10:56:46	ga_ls8c_ard_3-2-1_106078_2024-02-29_final
2024-03-04 10:31:11	ga_ls8c_ard_3-2-1_102076_2024-03-04_final
2024-03-04 10:31:59	ga_ls8c_ard_3-2-1_102078_2024-03-04_final
2024-03-05 09:35:08	ga_ls8c_ard_3-2-1_093075_2024-03-05_final
2024-03-08 10:06:24	ga_ls8c_ard_3-2-1_098076_2024-03-08_final
2024-03-08 11:45:17	ga_ls8c_ard_3-2-1_114076_2024-03-08_final
2024-03-11 10:38:06	ga_ls8c_ard_3-2-1_103078_2024-03-11_final
2024-04-01 09:18:42	ga_ls8c_ard_3-2-1_090081_2024-03-31_final
2024-04-02 09:59:58	ga_ls8c_ard_3-2-1_097076_2024-04-02_final
2024-04-06 09:39:14	ga_ls8c_ard_3-2-1_093086_2024-04-06_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