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

59 results

Time (local)	Label
2013-11-02 09:35:47	ga_ls8c_ard_3-0-0_093072_2013-11-02_final
2013-11-13 09:24:00	ga_ls8c_ard_3-0-0_090089_2013-11-12_final
2014-02-23 10:20:03	ga_ls8c_ard_3-0-0_100077_2014-02-23_final
2014-10-29 09:28:50	ga_ls8c_ard_3-0-0_092074_2014-10-28_final
2014-11-11 10:34:29	ga_ls8c_ard_3-0-0_103068_2014-11-11_final
2014-11-28 11:18:30	ga_ls8c_ard_3-0-0_110070_2014-11-28_final
2015-03-26 09:07:03	ga_ls8c_ard_3-0-0_088083_2015-03-25_final
2015-04-03 11:30:50	ga_ls8c_ard_3-0-0_112072_2015-04-03_final
2015-12-26 09:34:11	ga_ls8c_ard_3-0-0_093072_2015-12-26_final
2016-05-12 10:10:15	ga_ls8c_ard_3-0-0_099071_2016-05-12_final
2016-06-22 10:03:30	ga_ls8c_ard_3-0-0_098069_2016-06-22_final
2016-12-31 10:04:46	ga_ls8c_ard_3-0-0_098071_2016-12-31_final
2017-01-18 09:50:44	ga_ls8c_ard_3-0-0_096067_2017-01-18_final
2017-02-03 11:32:17	ga_ls8c_ard_3-0-0_112074_2017-02-03_final
2017-03-09 11:17:42	ga_ls8c_ard_3-0-0_110069_2017-03-09_final
2017-04-14 09:16:34	ga_ls8c_ard_3-0-0_090076_2017-04-13_final
2017-11-16 10:09:59	ga_ls8c_ard_3-0-0_098084_2017-11-16_final
2017-12-17 09:21:52	ga_ls8c_ard_3-0-0_091072_2017-12-16_final
2018-01-16 11:13:46	ga_ls8c_ard_3-0-0_109074_2018-01-16_final
2018-06-20 09:21:38	ga_ls8c_ard_3-0-0_090090_2018-06-19_final
2018-08-01 11:30:46	ga_ls8c_ard_3-0-0_112072_2018-08-01_final
2018-08-28 09:33:34	ga_ls8c_ard_3-0-0_093072_2018-08-28_final
2018-09-02 11:30:14	ga_ls8c_ard_3-0-0_112070_2018-09-02_final
2018-09-11 09:45:37	ga_ls8c_ard_3-0-0_095071_2018-09-11_final
2018-12-27 09:28:32	ga_ls8c_ard_3-0-0_092074_2018-12-26_final
2019-01-14 09:21:20	ga_ls8c_ard_3-0-0_090087_2019-01-13_final
2019-01-21 09:22:41	ga_ls8c_ard_3-0-0_091075_2019-01-20_final
2019-03-28 10:48:58	ga_ls8c_ard_3-1-0_105075_2019-03-28_final
2019-06-28 11:14:25	ga_ls8c_ard_3-1-0_109076_2019-06-28_final
2019-07-02 10:48:55	ga_ls8c_ard_3-1-0_105074_2019-07-02_final
2020-01-01 10:56:12	ga_ls8c_ard_3-1-0_106076_2020-01-01_final
2020-04-08 09:05:59	ga_ls8c_ard_3-1-0_088080_2020-04-07_final
2020-05-08 09:16:06	ga_ls8c_ard_3-1-0_090075_2020-05-07_final
2020-06-02 10:48:31	ga_ls8c_ard_3-1-0_105074_2020-06-02_final
2020-06-07 09:33:49	ga_ls8c_ard_3-1-0_092088_2020-06-07_final
2020-07-25 09:33:46	ga_ls8c_ard_3-1-0_092087_2020-07-25_final
2020-08-21 09:10:11	ga_ls8c_ard_3-1-0_089074_2020-08-20_final
2020-10-02 11:24:24	ga_ls8c_ard_3-1-0_111069_2020-10-02_final
2020-11-12 11:18:11	ga_ls8c_ard_3-1-0_110069_2020-11-12_final
2021-01-07 10:29:30	ga_ls8c_ard_3-2-0_102071_2021-01-07_final
2021-04-22 10:27:07	ga_ls8c_ard_3-2-0_101082_2021-04-22_final
2021-05-31 10:32:59	ga_ls8c_ard_3-2-0_102081_2021-05-31_final
2021-12-24 11:24:47	ga_ls8c_ard_3-2-1_111070_2021-12-24_final
2021-12-26 09:34:44	ga_ls8c_ard_3-2-1_093073_2021-12-26_final
2022-01-15 10:48:02	ga_ls8c_ard_3-2-1_105071_2022-01-15_final
2022-03-07 11:18:18	ga_ls8c_ard_3-2-1_110070_2022-03-07_final
2022-03-14 11:24:02	ga_ls8c_ard_3-2-1_111069_2022-03-14_final
2022-06-09 09:57:29	ga_ls8c_ard_3-2-1_096084_2022-06-09_final
2022-09-15 09:40:27	ga_ls8c_ard_3-2-1_094071_2022-09-15_final
2022-10-04 10:10:57	ga_ls8c_ard_3-2-1_099070_2022-10-04_final
2022-11-25 09:52:56	ga_ls8c_ard_3-2-1_095087_2022-11-25_final
2022-12-09 09:57:19	ga_ls8c_ard_3-2-1_097067_2022-12-09_final
2023-01-13 10:33:36	ga_ls8c_ard_3-2-1_102081_2023-01-13_final
2023-03-01 11:24:57	ga_ls8c_ard_3-2-1_111071_2023-03-01_final
2023-06-05 09:46:10	ga_ls8c_ard_3-2-1_095073_2023-06-05_final
2023-09-20 09:28:44	ga_ls8c_ard_3-2-1_092074_2023-09-19_final
2024-02-20 09:22:57	ga_ls8c_ard_3-2-1_091075_2024-02-19_final
2024-02-28 10:13:07	ga_ls8c_ard_3-2-1_099077_2024-02-28_final
2024-04-12 10:39:24	ga_ls8c_ard_3-2-1_103082_2024-04-12_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