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

61 results

Time (local)	Label
2013-05-24 09:47:39	ga_ls8c_ard_3-0-0_095070_2013-05-24_final
2013-06-15 10:51:47	ga_ls8c_ard_3-0-0_105076_2013-06-15_final
2013-08-23 09:36:41	ga_ls8c_ard_3-0-0_092089_2013-08-23_final
2013-08-26 09:59:13	ga_ls8c_ard_3-0-0_097068_2013-08-26_final
2013-12-11 11:19:30	ga_ls8c_ard_3-0-0_110069_2013-12-11_final
2014-02-16 11:54:02	ga_ls8c_ard_3-0-0_115080_2014-02-16_final
2014-07-27 09:17:00	ga_ls8c_ard_3-0-0_090076_2014-07-26_final
2014-08-27 11:53:17	ga_ls8c_ard_3-0-0_115080_2014-08-27_final
2015-01-18 11:53:12	ga_ls8c_ard_3-0-0_115080_2015-01-18_final
2015-05-27 09:16:10	ga_ls8c_ard_3-0-0_090076_2015-05-26_final
2015-07-07 09:09:59	ga_ls8c_ard_3-0-0_089075_2015-07-06_final
2015-08-18 09:45:44	ga_ls8c_ard_3-0-0_095071_2015-08-18_final
2015-09-15 11:53:08	ga_ls8c_ard_3-0-0_115080_2015-09-15_final
2015-10-25 09:20:10	ga_ls8c_ard_3-0-0_091068_2015-10-24_final
2015-12-10 09:34:09	ga_ls8c_ard_3-0-0_093072_2015-12-10_final
2016-01-20 09:28:45	ga_ls8c_ard_3-0-0_092074_2016-01-19_final
2016-01-27 09:33:43	ga_ls8c_ard_3-0-0_093071_2016-01-27_final
2016-02-02 10:35:54	ga_ls8c_ard_3-0-0_103072_2016-02-02_final
2016-02-17 11:31:23	ga_ls8c_ard_3-0-0_112072_2016-02-17_final
2016-04-13 09:07:08	ga_ls8c_ard_3-0-0_088083_2016-04-12_final
2016-06-03 09:33:43	ga_ls8c_ard_3-0-0_093072_2016-06-03_final
2016-06-24 09:51:10	ga_ls8c_ard_3-0-0_096069_2016-06-24_final
2016-11-23 09:07:52	ga_ls8c_ard_3-0-0_088083_2016-11-22_final
2017-01-06 11:07:44	ga_ls8c_ard_3-0-0_108074_2017-01-06_final
2017-05-02 10:44:29	ga_ls8c_ard_3-0-0_104080_2017-05-02_final
2017-09-24 08:10:54	ga_ls8c_ard_3-2-1_079080_2017-09-23_final
2018-01-11 10:55:40	ga_ls8c_ard_3-0-0_106075_2018-01-11_final
2018-02-07 10:35:42	ga_ls8c_ard_3-0-0_103072_2018-02-07_final
2018-03-09 10:48:38	ga_ls8c_ard_3-0-0_105074_2018-03-09_final
2018-10-25 11:53:05	ga_ls8c_ard_3-0-0_115080_2018-10-25_final
2019-06-23 10:55:27	ga_ls8c_ard_3-1-0_106075_2019-06-23_final
2019-07-02 10:49:42	ga_ls8c_ard_3-1-0_105076_2019-07-02_final
2019-07-16 09:21:38	ga_ls8c_ard_3-1-0_091072_2019-07-15_final
2019-08-03 09:10:11	ga_ls8c_ard_3-1-0_089074_2019-08-02_final
2019-08-09 11:53:18	ga_ls8c_ard_3-1-0_115080_2019-08-09_final
2019-09-30 09:45:57	ga_ls8c_ard_3-1-0_095070_2019-09-30_final
2019-10-15 09:07:55	ga_ls8c_ard_3-1-0_088083_2019-10-14_final
2019-11-13 11:53:33	ga_ls8c_ard_3-1-0_115080_2019-11-13_final
2020-01-02 09:56:59	ga_ls8c_ard_3-1-0_097067_2020-01-02_final
2020-01-13 09:40:24	ga_ls8c_ard_3-1-0_094072_2020-01-13_final
2020-01-24 09:21:49	ga_ls8c_ard_3-1-0_091072_2020-01-23_final
2020-06-25 10:55:43	ga_ls8c_ard_3-1-0_106076_2020-06-25_final
2020-08-15 09:45:37	ga_ls8c_ard_3-1-0_095070_2020-08-15_final
2020-10-13 09:29:00	ga_ls8c_ard_3-1-0_092074_2020-10-12_final
2020-10-14 11:53:32	ga_ls8c_ard_3-1-0_115080_2020-10-14_final
2020-12-16 09:29:24	ga_ls8c_ard_3-1-0_092075_2020-12-15_final
2021-05-05 09:50:53	ga_ls8c_ard_3-2-0_096069_2021-05-05_final
2021-06-12 10:55:24	ga_ls8c_ard_3-2-0_106075_2021-06-12_final
2021-09-16 09:17:23	ga_ls8c_ard_3-2-0_090076_2021-09-15_final
2021-09-16 09:23:22	ga_ls8c_ard_3-2-0_090091_2021-09-15_final
2021-10-09 11:05:21	ga_ls8c_ard_3-2-0_107083_2021-10-09_final
2022-02-10 09:46:07	ga_ls8c_ard_3-2-1_095071_2022-02-10_final
2022-07-17 10:58:37	ga_ls8c_ard_3-2-1_106082_2022-07-17_final
2022-09-28 09:12:22	ga_ls8c_ard_3-2-1_089078_2022-09-27_final
2023-04-29 09:28:09	ga_ls8c_ard_3-2-1_092074_2023-04-28_final
2023-05-22 09:32:56	ga_ls8c_ard_3-2-1_093071_2023-05-22_final
2023-07-18 09:27:34	ga_ls8c_ard_3-2-1_092072_2023-07-17_final
2023-10-29 09:33:52	ga_ls8c_ard_3-2-1_093071_2023-10-29_final
2023-12-30 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-12-30_final
2024-01-10 09:28:46	ga_ls8c_ard_3-2-1_092074_2024-01-09_final
2024-04-24 11:04:01	ga_ls8c_ard_3-2-1_107082_2024-04-24_nrt

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