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

73 results

Time (local)	Label
2014-03-04 10:10:54	ga_ls8c_ard_3-0-0_099070_2014-03-04_final
2014-04-16 11:31:49	ga_ls8c_ard_3-0-0_112073_2014-04-16_final
2014-05-24 09:16:36	ga_ls8c_ard_3-0-0_090076_2014-05-23_final
2014-08-28 09:17:10	ga_ls8c_ard_3-0-0_090076_2014-08-27_final
2014-09-11 09:28:48	ga_ls8c_ard_3-0-0_092074_2014-09-10_final
2014-12-30 11:18:21	ga_ls8c_ard_3-0-0_110070_2014-12-30_final
2015-01-02 10:13:09	ga_ls8c_ard_3-0-0_099077_2015-01-02_final
2015-04-14 09:38:37	ga_ls8c_ard_3-0-0_093085_2015-04-14_final
2015-06-12 10:51:39	ga_ls8c_ard_3-0-0_106067_2015-06-12_final
2015-11-15 11:18:01	ga_ls8c_ard_3-0-0_110069_2015-11-15_final
2016-05-29 09:16:45	ga_ls8c_ard_3-0-0_090076_2016-05-28_final
2016-08-31 09:28:50	ga_ls8c_ard_3-0-0_092074_2016-08-30_final
2016-11-15 11:31:00	ga_ls8c_ard_3-0-0_112070_2016-11-15_final
2017-02-09 09:17:04	ga_ls8c_ard_3-0-0_090076_2017-02-08_final
2017-03-09 11:16:54	ga_ls8c_ard_3-0-0_110067_2017-03-09_final
2017-06-22 11:13:52	ga_ls8c_ard_3-0-0_109075_2017-06-22_final
2017-09-30 10:50:02	ga_ls8c_ard_3-0-0_105076_2017-09-30_final
2017-12-15 11:13:54	ga_ls8c_ard_3-0-0_109074_2017-12-15_final
2018-04-13 11:17:15	ga_ls8c_ard_3-0-0_110069_2018-04-13_final
2018-05-26 09:20:33	ga_ls8c_ard_3-0-0_091072_2018-05-25_final
2018-06-09 11:12:32	ga_ls8c_ard_3-0-0_109074_2018-06-09_final
2018-07-13 09:20:50	ga_ls8c_ard_3-0-0_091072_2018-07-12_final
2018-08-01 11:31:10	ga_ls8c_ard_3-0-0_112073_2018-08-01_final
2018-11-29 10:42:21	ga_ls8c_ard_3-0-0_104073_2018-11-29_final
2019-01-03 09:34:19	ga_ls8c_ard_3-0-0_093073_2019-01-03_final
2019-01-28 09:27:39	ga_ls8c_ard_3-0-0_092072_2019-01-27_final
2019-02-21 10:19:01	ga_ls8c_ard_3-0-0_100077_2019-02-21_final
2019-06-05 09:27:37	ga_ls8c_ard_3-0-0_092072_2019-06-04_final
2019-06-28 11:14:25	ga_ls8c_ard_3-1-0_109076_2019-06-28_final
2019-09-10 10:13:46	ga_ls8c_ard_3-1-0_099078_2019-09-10_final
2019-10-07 11:30:15	ga_ls8c_ard_3-1-0_112068_2019-10-07_final
2019-12-16 09:22:11	ga_ls8c_ard_3-2-0_090088_2019-12-15_final
2020-01-04 11:25:30	ga_ls8c_ard_3-1-0_111072_2020-01-04_final
2020-01-29 09:40:20	ga_ls8c_ard_3-1-0_094072_2020-01-29_final
2020-02-12 11:30:43	ga_ls8c_ard_3-1-0_112070_2020-02-12_final
2020-04-28 10:18:48	ga_ls8c_ard_3-1-0_100077_2020-04-28_final
2020-07-02 09:19:52	ga_ls8c_ard_3-1-0_091068_2020-07-01_final
2020-07-30 09:45:33	ga_ls8c_ard_3-1-0_095070_2020-07-30_final
2020-08-02 10:19:15	ga_ls8c_ard_3-1-0_100077_2020-08-02_final
2020-08-08 11:19:52	ga_ls8c_ard_3-1-0_110074_2020-08-08_final
2021-02-20 10:53:14	ga_ls8c_ard_3-2-0_106069_2021-02-20_final
2021-03-17 10:49:14	ga_ls8c_ard_3-2-0_105075_2021-03-17_final
2021-04-30 11:13:17	ga_ls8c_ard_3-2-0_109074_2021-04-30_final
2021-05-17 10:19:18	ga_ls8c_ard_3-2-0_100078_2021-05-17_final
2021-06-17 11:16:22	ga_ls8c_ard_3-2-0_109081_2021-06-17_final
2021-07-12 09:28:34	ga_ls8c_ard_3-2-0_092074_2021-07-11_final
2021-08-04 11:13:48	ga_ls8c_ard_3-2-0_109074_2021-08-04_final
2021-08-08 10:49:30	ga_ls8c_ard_3-2-0_105075_2021-08-08_final
2021-11-25 10:20:03	ga_ls8c_ard_3-2-0_100078_2021-11-25_final
2021-12-14 09:16:27	ga_ls8c_ard_3-2-1_089089_2021-12-13_final
2022-01-04 09:28:54	ga_ls8c_ard_3-2-1_092074_2022-01-03_final
2022-02-16 09:11:47	ga_ls8c_ard_3-2-1_089078_2022-02-15_final
2022-03-05 09:58:11	ga_ls8c_ard_3-2-1_096086_2022-03-05_final
2022-04-22 09:52:48	ga_ls8c_ard_3-2-1_096073_2022-04-22_final
2022-05-18 10:33:12	ga_ls8c_ard_3-2-1_102081_2022-05-18_final
2022-06-02 11:24:30	ga_ls8c_ard_3-2-1_111070_2022-06-02_final
2022-08-28 11:35:36	ga_ls8c_ard_3-2-1_112081_2022-08-28_final
2022-09-28 09:12:22	ga_ls8c_ard_3-2-1_089078_2022-09-27_final
2022-11-06 09:17:44	ga_ls8c_ard_3-2-1_090076_2022-11-05_final
2022-12-30 10:17:43	ga_ls8c_ard_3-2-1_100072_2022-12-30_final
2023-01-08 10:10:19	ga_ls8c_ard_3-2-1_099069_2023-01-08_final
2023-06-12 11:30:54	ga_ls8c_ard_3-2-1_112072_2023-06-12_final
2023-07-14 11:31:10	ga_ls8c_ard_3-2-1_112072_2023-07-14_final
2023-08-02 10:27:19	ga_ls8c_ard_3-2-1_101082_2023-08-02_final
2023-08-13 10:02:26	ga_ls8c_ard_3-2-1_098066_2023-08-13_final
2023-09-18 09:39:54	ga_ls8c_ard_3-2-1_094071_2023-09-18_final
2023-10-02 11:31:36	ga_ls8c_ard_3-2-1_112072_2023-10-02_final
2023-10-22 09:28:49	ga_ls8c_ard_3-2-1_092074_2023-10-21_final
2023-10-22 11:08:06	ga_ls8c_ard_3-2-1_108075_2023-10-22_final
2024-02-02 11:11:48	ga_ls8c_ard_3-2-1_109069_2024-02-02_final
2024-02-06 09:14:13	ga_ls8c_ard_3-2-1_089084_2024-02-05_final
2024-02-25 11:19:56	ga_ls8c_ard_3-2-1_110074_2024-02-25_final
2024-03-15 10:10:33	ga_ls8c_ard_3-2-1_099071_2024-03-15_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