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

48 results

Time (local)	Label
2014-08-18 10:19:22	ga_ls8c_ard_3-0-0_100077_2014-08-18_final
2014-08-27 10:13:12	ga_ls8c_ard_3-0-0_099077_2014-08-27_final
2015-05-15 10:32:15	ga_ls8c_ard_3-0-0_102081_2015-05-15_final
2015-06-11 10:12:22	ga_ls8c_ard_3-0-0_099077_2015-06-11_final
2015-07-26 09:39:50	ga_ls8c_ard_3-0-0_094072_2015-07-26_final
2016-02-22 10:10:37	ga_ls8c_ard_3-0-0_099071_2016-02-22_final
2016-07-06 10:19:35	ga_ls8c_ard_3-0-0_100078_2016-07-06_final
2016-09-14 11:18:08	ga_ls8c_ard_3-0-0_110069_2016-09-14_final
2017-04-12 09:28:09	ga_ls8c_ard_3-0-0_092074_2017-04-11_final
2017-05-30 09:28:15	ga_ls8c_ard_3-0-0_092074_2017-05-29_final
2018-03-23 09:22:00	ga_ls8c_ard_3-0-0_091074_2018-03-22_final
2018-05-28 09:08:58	ga_ls8c_ard_3-0-0_089074_2018-05-27_final
2018-09-23 10:13:11	ga_ls8c_ard_3-0-0_099078_2018-09-23_final
2018-09-29 09:33:46	ga_ls8c_ard_3-0-0_093072_2018-09-29_final
2018-11-11 10:52:43	ga_ls8c_ard_3-0-0_106068_2018-11-11_final
2018-12-03 10:19:13	ga_ls8c_ard_3-0-0_100077_2018-12-03_final
2019-07-08 10:13:03	ga_ls8c_ard_3-1-0_099077_2019-07-08_final
2019-09-04 09:10:20	ga_ls8c_ard_3-1-0_089074_2019-09-03_final
2019-11-04 10:20:05	ga_ls8c_ard_3-1-0_100078_2019-11-04_final
2019-11-07 09:10:54	ga_ls8c_ard_3-1-0_089075_2019-11-06_final
2020-02-17 10:13:09	ga_ls8c_ard_3-1-0_099077_2020-02-17_final
2020-03-17 11:17:45	ga_ls8c_ard_3-1-0_110069_2020-03-17_final
2020-05-12 10:32:40	ga_ls8c_ard_3-1-0_102081_2020-05-12_final
2020-05-13 11:13:32	ga_ls8c_ard_3-1-0_109075_2020-05-13_final
2020-07-04 10:48:48	ga_ls8c_ard_3-1-0_105074_2020-07-04_final
2020-08-31 09:45:45	ga_ls8c_ard_3-1-0_095070_2020-08-31_final
2020-09-22 09:10:48	ga_ls8c_ard_3-1-0_089075_2020-09-21_final
2020-10-15 09:17:26	ga_ls8c_ard_3-1-0_090076_2020-10-14_final
2020-12-28 09:52:29	ga_ls8c_ard_3-2-0_096071_2020-12-28_final
2021-01-05 10:46:16	ga_ls8c_ard_3-2-0_104082_2021-01-05_final
2021-09-09 09:15:58	ga_ls8c_ard_3-2-0_089088_2021-09-08_final
2022-06-28 10:24:31	ga_ls8c_ard_3-2-1_101074_2022-06-28_final
2022-10-12 09:22:12	ga_ls8c_ard_3-2-1_091072_2022-10-11_final
2022-11-23 10:01:18	ga_ls8c_ard_3-2-1_097077_2022-11-23_final
2022-11-29 09:22:15	ga_ls8c_ard_3-2-1_091072_2022-11-28_final
2023-01-18 10:48:29	ga_ls8c_ard_3-2-1_105072_2023-01-18_final
2023-01-21 09:40:09	ga_ls8c_ard_3-2-1_094071_2023-01-21_final
2023-03-13 10:13:06	ga_ls8c_ard_3-2-1_099077_2023-03-13_final
2023-06-25 09:27:59	ga_ls8c_ard_3-2-1_091089_2023-06-24_final
2023-07-16 09:39:56	ga_ls8c_ard_3-2-1_094072_2023-07-16_final
2023-07-20 09:16:48	ga_ls8c_ard_3-2-1_090076_2023-07-19_final
2023-08-17 11:17:51	ga_ls8c_ard_3-2-1_110069_2023-08-17_final
2023-09-04 09:27:50	ga_ls8c_ard_3-2-1_092072_2023-09-03_final
2023-09-25 09:52:05	ga_ls8c_ard_3-2-1_095086_2023-09-25_final
2023-11-25 12:31:32	ga_ls8c_ard_3-2-1_122067_2023-11-25_final
2023-12-25 09:28:52	ga_ls8c_ard_3-2-1_092074_2023-12-24_final
2023-12-26 10:15:43	ga_ls8c_ard_3-2-1_099083_2023-12-26_final
2024-03-03 11:25:38	ga_ls8c_ard_3-2-1_111073_2024-03-03_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