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

68 results

Time (local)	Label
2013-07-04 11:25:05	ga_ls8c_ard_3-0-0_110082_2013-07-04_final
2013-08-25 09:23:56	ga_ls8c_ard_3-0-0_090088_2013-08-24_final
2014-01-03 11:25:28	ga_ls8c_ard_3-0-0_111069_2014-01-03_final
2014-03-21 09:20:42	ga_ls8c_ard_3-0-0_090084_2014-03-20_final
2014-08-24 11:19:59	ga_ls8c_ard_3-0-0_110074_2014-08-24_final
2014-12-06 10:29:01	ga_ls8c_ard_3-0-0_102070_2014-12-06_final
2014-12-23 09:40:09	ga_ls8c_ard_3-0-0_093087_2014-12-23_final
2015-02-21 09:56:35	ga_ls8c_ard_3-0-0_097067_2015-02-21_final
2015-05-05 09:57:20	ga_ls8c_ard_3-0-0_096086_2015-05-05_final
2015-05-24 10:22:09	ga_ls8c_ard_3-0-0_101071_2015-05-24_final
2015-11-03 09:17:13	ga_ls8c_ard_3-0-0_090076_2015-11-02_final
2015-12-08 09:46:08	ga_ls8c_ard_3-0-0_095071_2015-12-08_final
2016-04-02 09:19:44	ga_ls8c_ard_3-0-0_091068_2016-04-01_final
2016-05-28 10:14:45	ga_ls8c_ard_3-0-0_099082_2016-05-28_final
2017-06-01 10:55:11	ga_ls8c_ard_3-0-0_106075_2017-06-01_final
2017-07-03 10:55:22	ga_ls8c_ard_3-0-0_106075_2017-07-03_final
2017-07-13 11:31:16	ga_ls8c_ard_3-0-0_112072_2017-07-13_final
2017-08-18 09:28:43	ga_ls8c_ard_3-0-0_092074_2017-08-17_final
2017-11-09 09:57:27	ga_ls8c_ard_3-0-0_097068_2017-11-09_final
2017-12-15 09:34:13	ga_ls8c_ard_3-0-0_093072_2017-12-15_final
2018-04-01 10:55:02	ga_ls8c_ard_3-0-0_106075_2018-04-01_final
2018-04-22 09:33:17	ga_ls8c_ard_3-0-0_093072_2018-04-22_final
2018-05-17 11:08:32	ga_ls8c_ard_3-0-0_108079_2018-05-17_final
2018-07-02 09:38:53	ga_ls8c_ard_3-0-0_094071_2018-07-02_final
2018-08-21 09:28:08	ga_ls8c_ard_3-0-0_092074_2018-08-20_final
2018-10-10 09:16:54	ga_ls8c_ard_3-0-0_090076_2018-10-09_final
2018-10-29 09:45:55	ga_ls8c_ard_3-0-0_095071_2018-10-29_final
2018-11-14 11:26:49	ga_ls8c_ard_3-0-0_111076_2018-11-14_final
2018-11-25 09:28:35	ga_ls8c_ard_3-0-0_092074_2018-11-24_final
2019-01-13 11:53:03	ga_ls8c_ard_3-0-0_115080_2019-01-13_final
2019-01-19 09:34:16	ga_ls8c_ard_3-0-0_093073_2019-01-19_final
2019-02-24 10:49:07	ga_ls8c_ard_3-0-0_105075_2019-02-24_final
2019-04-09 09:33:09	ga_ls8c_ard_3-1-0_093071_2019-04-09_final
2019-04-23 09:45:48	ga_ls8c_ard_3-0-0_095072_2019-04-23_final
2019-06-23 09:16:58	ga_ls8c_ard_3-1-0_090076_2019-06-22_final
2019-11-26 09:40:09	ga_ls8c_ard_3-1-0_094071_2019-11-26_final
2019-12-28 09:40:04	ga_ls8c_ard_3-1-0_094071_2019-12-28_final
2020-03-14 10:49:40	ga_ls8c_ard_3-1-0_105076_2020-03-14_final
2020-06-29 10:33:01	ga_ls8c_ard_3-1-0_102081_2020-06-29_final
2020-08-10 09:28:38	ga_ls8c_ard_3-1-0_092074_2020-08-09_final
2020-09-13 10:55:49	ga_ls8c_ard_3-1-0_106075_2020-09-13_final
2020-12-20 10:40:46	ga_ls8c_ard_3-2-0_104068_2020-12-20_final
2021-04-25 10:55:35	ga_ls8c_ard_3-2-0_106076_2021-04-25_final
2021-06-09 10:27:40	ga_ls8c_ard_3-2-0_101083_2021-06-09_final
2021-06-11 10:13:20	ga_ls8c_ard_3-2-0_099078_2021-06-11_final
2021-06-15 09:45:50	ga_ls8c_ard_3-2-0_095071_2021-06-15_final
2021-11-24 09:34:00	ga_ls8c_ard_3-2-0_093071_2021-11-24_final
2022-01-04 09:28:07	ga_ls8c_ard_3-2-1_092072_2022-01-03_final
2022-03-25 09:28:28	ga_ls8c_ard_3-2-1_092074_2022-03-24_final
2022-04-21 09:10:20	ga_ls8c_ard_3-2-1_089075_2022-04-20_final
2022-04-28 10:55:20	ga_ls8c_ard_3-2-1_106075_2022-04-28_final
2022-06-27 11:18:09	ga_ls8c_ard_3-2-1_110069_2022-06-27_final
2022-07-13 09:46:26	ga_ls8c_ard_3-2-1_094087_2022-07-13_final
2022-07-17 10:55:49	ga_ls8c_ard_3-2-1_106075_2022-07-17_final
2022-08-07 09:34:07	ga_ls8c_ard_3-2-1_093071_2022-08-07_final
2022-10-31 11:36:30	ga_ls8c_ard_3-2-1_112083_2022-10-31_final
2022-11-21 10:14:03	ga_ls8c_ard_3-2-1_099078_2022-11-21_final
2022-11-24 09:08:05	ga_ls8c_ard_3-2-1_088083_2022-11-23_final
2022-12-16 10:07:49	ga_ls8c_ard_3-2-1_098078_2022-12-16_final
2023-02-06 09:41:00	ga_ls8c_ard_3-2-1_094073_2023-02-06_final
2023-04-20 09:39:56	ga_ls8c_ard_3-2-1_093088_2023-04-20_final
2023-07-02 11:05:34	ga_ls8c_ard_3-2-1_108070_2023-07-02_final
2023-08-03 09:27:43	ga_ls8c_ard_3-2-1_092072_2023-08-02_final
2023-09-02 09:40:37	ga_ls8c_ard_3-2-1_094073_2023-09-02_final
2023-11-08 10:08:53	ga_ls8c_ard_3-2-1_099066_2023-11-08_final
2024-01-17 09:40:09	ga_ls8c_ard_3-2-1_093087_2024-01-17_final
2024-02-16 09:46:28	ga_ls8c_ard_3-2-1_095072_2024-02-16_final
2024-03-30 09:28:16	ga_ls8c_ard_3-2-1_092074_2024-03-29_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