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
2021-05-02 12:36:59	ga_ls8c_ard_3-2-1_123067_2021-05-02_final
2021-07-30 09:20:44	ga_ls8c_ard_3-2-0_090085_2021-07-29_final
2021-08-20 09:35:48	ga_ls8c_ard_3-2-0_093076_2021-08-20_final
2021-08-24 10:47:36	ga_ls8c_ard_3-2-0_105070_2021-08-24_final
2021-09-01 11:37:53	ga_ls8c_ard_3-2-0_113072_2021-09-01_final
2021-09-07 09:21:56	ga_ls8c_ard_3-2-0_091072_2021-09-06_final
2021-09-07 11:04:25	ga_ls8c_ard_3-2-0_107081_2021-09-07_final
2021-09-29 10:23:50	ga_ls8c_ard_3-2-0_101072_2021-09-29_final
2021-10-08 10:18:06	ga_ls8c_ard_3-2-0_100073_2021-10-08_final
2021-10-13 10:35:04	ga_ls8c_ard_3-2-0_103069_2021-10-13_final
2021-10-14 11:21:07	ga_ls8c_ard_3-2-0_110076_2021-10-14_final
2021-10-16 11:10:46	ga_ls8c_ard_3-2-0_108081_2021-10-16_final
2021-10-19 10:04:23	ga_ls8c_ard_3-2-0_097085_2021-10-19_final
2021-10-23 09:39:16	ga_ls8c_ard_3-2-0_093084_2021-10-23_final
2021-10-25 09:23:43	ga_ls8c_ard_3-2-0_091076_2021-10-24_final
2021-10-27 09:16:32	ga_ls8c_ard_3-2-0_089089_2021-10-26_final
2021-11-08 11:17:43	ga_ls8c_ard_3-2-0_109083_2021-11-08_final
2021-11-15 11:23:27	ga_ls8c_ard_3-2-0_110082_2021-11-15_final
2021-11-19 10:55:31	ga_ls8c_ard_3-2-0_106074_2021-11-19_final
2021-12-06 09:59:08	ga_ls8c_ard_3-2-1_097072_2021-12-06_final
2021-12-06 09:59:31	ga_ls8c_ard_3-2-1_097073_2021-12-06_final
2021-12-12 12:37:48	ga_ls8c_ard_3-2-1_123067_2021-12-12_final
2021-12-21 09:19:49	ga_ls8c_ard_3-2-1_090082_2021-12-20_final
2022-01-13 09:29:06	ga_ls8c_ard_3-2-1_091090_2022-01-12_final
2022-01-23 11:42:13	ga_ls8c_ard_3-2-1_113083_2022-01-23_final
2022-02-19 11:19:09	ga_ls8c_ard_3-2-1_110072_2022-02-19_final
2022-02-24 10:00:23	ga_ls8c_ard_3-2-1_097076_2022-02-24_final
2022-03-09 09:31:50	ga_ls8c_ard_3-2-1_092082_2022-03-09_final
2022-03-17 10:21:36	ga_ls8c_ard_3-2-1_100083_2022-03-17_final
2022-03-20 09:12:24	ga_ls8c_ard_3-2-1_089080_2022-03-19_final
2022-03-28 11:38:36	ga_ls8c_ard_3-2-1_113075_2022-03-28_final
2022-04-02 10:18:14	ga_ls8c_ard_3-2-1_100075_2022-04-02_final
2022-04-24 09:44:01	ga_ls8c_ard_3-2-1_094082_2022-04-24_final
2022-05-23 09:10:04	ga_ls8c_ard_3-2-1_089074_2022-05-22_final
2022-06-12 10:22:50	ga_ls8c_ard_3-2-1_101070_2022-06-12_final
2022-06-12 10:24:49	ga_ls8c_ard_3-2-1_101075_2022-06-12_final
2022-06-26 10:38:28	ga_ls8c_ard_3-2-1_103078_2022-06-26_final
2022-06-29 11:08:35	ga_ls8c_ard_3-2-1_108076_2022-06-29_final
2022-07-08 11:00:01	ga_ls8c_ard_3-2-1_107070_2022-07-08_final
2022-07-17 09:20:32	ga_ls8c_ard_3-2-1_090084_2022-07-16_final
2022-07-17 10:54:13	ga_ls8c_ard_3-2-1_106071_2022-07-17_final
2022-07-26 09:15:16	ga_ls8c_ard_3-2-1_089086_2022-07-25_final
2022-08-02 09:22:43	ga_ls8c_ard_3-2-1_090089_2022-08-01_final
2022-08-07 09:36:07	ga_ls8c_ard_3-2-1_093076_2022-08-07_final
2022-08-23 09:37:22	ga_ls8c_ard_3-2-1_093079_2022-08-23_final
2022-08-23 09:39:46	ga_ls8c_ard_3-2-1_093085_2022-08-23_final
2022-08-29 10:40:22	ga_ls8c_ard_3-2-1_103082_2022-08-29_final
2022-09-06 09:52:09	ga_ls8c_ard_3-2-1_095085_2022-09-06_final
2022-09-10 09:23:53	ga_ls8c_ard_3-2-1_091076_2022-09-09_final
2022-10-08 11:30:15	ga_ls8c_ard_3-2-1_111083_2022-10-08_final
2022-11-04 09:34:06	ga_ls8c_ard_3-2-1_092086_2022-11-04_final
2022-11-07 10:01:23	ga_ls8c_ard_3-2-1_097077_2022-11-07_final
2022-11-08 10:41:27	ga_ls8c_ard_3-2-1_104069_2022-11-08_final
2022-11-29 09:22:39	ga_ls8c_ard_3-2-1_091073_2022-11-28_final
2022-11-29 11:01:56	ga_ls8c_ard_3-2-1_107074_2022-11-29_final
2022-12-04 09:43:59	ga_ls8c_ard_3-2-1_094080_2022-12-04_final
2022-12-21 10:27:29	ga_ls8c_ard_3-2-1_101081_2022-12-21_final
2023-01-22 10:24:13	ga_ls8c_ard_3-2-1_101073_2023-01-22_final
2023-01-30 11:17:42	ga_ls8c_ard_3-2-1_109083_2023-01-30_final
2023-01-31 10:18:53	ga_ls8c_ard_3-2-1_100075_2023-01-31_final
2023-01-31 10:20:05	ga_ls8c_ard_3-2-1_100078_2023-01-31_final
2023-02-07 10:23:51	ga_ls8c_ard_3-2-1_101072_2023-02-07_final
2023-02-07 10:25:51	ga_ls8c_ard_3-2-1_101077_2023-02-07_final
2023-02-23 10:24:47	ga_ls8c_ard_3-2-1_101075_2023-02-23_final
2023-03-01 09:50:51	ga_ls8c_ard_3-2-1_095083_2023-03-01_final
2023-03-03 09:34:53	ga_ls8c_ard_3-2-1_093074_2023-03-03_final
2023-03-05 09:28:54	ga_ls8c_ard_3-2-1_091090_2023-03-04_final
2023-03-29 10:15:19	ga_ls8c_ard_3-2-1_099083_2023-03-29_final
2023-03-31 11:42:13	ga_ls8c_ard_3-2-1_113084_2023-03-31_final
2023-05-01 09:20:10	ga_ls8c_ard_3-2-1_090085_2023-04-30_final
2023-05-04 11:25:55	ga_ls8c_ard_3-2-1_111075_2023-05-04_final
2023-05-05 10:28:42	ga_ls8c_ard_3-2-1_102071_2023-05-05_final
2023-05-08 09:24:39	ga_ls8c_ard_3-2-1_091081_2023-05-07_final
2023-07-21 10:03:39	ga_ls8c_ard_3-2-1_097085_2023-07-21_final
2023-07-22 10:42:32	ga_ls8c_ard_3-2-1_104074_2023-07-22_final
2023-07-29 09:16:19	ga_ls8c_ard_3-2-1_089090_2023-07-28_final
2023-07-30 09:56:00	ga_ls8c_ard_3-2-1_096081_2023-07-30_final
2023-08-05 10:57:26	ga_ls8c_ard_3-2-1_106080_2023-08-05_final
2023-08-08 09:51:27	ga_ls8c_ard_3-2-1_095085_2023-08-08_final
2023-08-22 11:37:38	ga_ls8c_ard_3-2-1_113072_2023-08-22_final
2023-09-01 10:35:02	ga_ls8c_ard_3-2-1_103070_2023-09-01_final
2023-09-15 10:52:15	ga_ls8c_ard_3-2-1_105082_2023-09-15_final
2023-09-18 11:23:10	ga_ls8c_ard_3-2-1_110082_2023-09-18_final
2023-09-21 10:09:12	ga_ls8c_ard_3-2-1_099067_2023-09-21_final
2023-10-07 10:14:26	ga_ls8c_ard_3-2-1_099080_2023-10-07_final
2023-10-07 11:50:56	ga_ls8c_ard_3-2-1_115074_2023-10-07_final
2023-10-16 11:45:11	ga_ls8c_ard_3-2-1_114075_2023-10-16_final
2023-10-29 09:40:15	ga_ls8c_ard_3-2-1_093087_2023-10-29_final
2023-11-08 10:11:40	ga_ls8c_ard_3-2-1_099073_2023-11-08_final
2023-11-14 11:16:18	ga_ls8c_ard_3-2-1_109080_2023-11-14_final
2023-11-16 11:02:22	ga_ls8c_ard_3-2-1_107076_2023-11-16_final
2023-11-21 11:22:32	ga_ls8c_ard_3-2-1_110080_2023-11-21_final
2024-01-02 10:21:48	ga_ls8c_ard_3-2-1_100083_2024-01-02_final
2024-01-04 11:46:18	ga_ls8c_ard_3-2-1_114078_2024-01-04_final
2024-01-05 09:14:58	ga_ls8c_ard_3-2-1_089086_2024-01-04_final
2024-01-22 09:53:27	ga_ls8c_ard_3-2-1_096074_2024-01-22_final
2024-02-14 10:03:38	ga_ls8c_ard_3-2-1_097084_2024-02-14_final
2024-02-23 11:36:18	ga_ls8c_ard_3-2-1_112084_2024-02-23_final
2024-03-03 09:47:32	ga_ls8c_ard_3-2-1_095075_2024-03-03_final
2024-03-04 10:31:35	ga_ls8c_ard_3-2-1_102077_2024-03-04_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