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

58 results

Time (local)	Label
2013-07-11 09:46:24	ga_ls8c_ard_3-0-0_095067_2013-07-11_final
2013-11-23 09:59:45	ga_ls8c_ard_3-0-0_096086_2013-11-23_final
2013-11-24 10:38:14	ga_ls8c_ard_3-0-0_103074_2013-11-24_final
2014-02-15 11:06:24	ga_ls8c_ard_3-0-0_108069_2014-02-15_final
2014-02-27 11:32:09	ga_ls8c_ard_3-0-0_112072_2014-02-27_final
2014-10-23 10:05:10	ga_ls8c_ard_3-0-0_098072_2014-10-23_final
2015-01-07 10:28:55	ga_ls8c_ard_3-0-0_102070_2015-01-07_final
2015-01-13 11:31:31	ga_ls8c_ard_3-0-0_112072_2015-01-13_final
2015-03-17 09:09:43	ga_ls8c_ard_3-0-0_089074_2015-03-16_final
2015-05-09 09:32:32	ga_ls8c_ard_3-0-0_092086_2015-05-09_final
2015-08-07 10:08:57	ga_ls8c_ard_3-0-0_098083_2015-08-07_final
2015-09-16 09:16:38	ga_ls8c_ard_3-0-0_090075_2015-09-15_final
2016-03-01 11:03:39	ga_ls8c_ard_3-0-0_107080_2016-03-01_final
2016-06-08 09:50:16	ga_ls8c_ard_3-0-0_096067_2016-06-08_final
2016-09-09 09:23:30	ga_ls8c_ard_3-0-0_091076_2016-09-08_final
2016-11-06 09:57:54	ga_ls8c_ard_3-0-0_097069_2016-11-06_final
2016-11-15 11:31:00	ga_ls8c_ard_3-0-0_112070_2016-11-15_final
2017-02-12 09:44:22	ga_ls8c_ard_3-0-0_095067_2017-02-12_final
2017-03-18 09:33:44	ga_ls8c_ard_3-0-0_093072_2017-03-18_final
2017-07-20 11:41:30	ga_ls8c_ard_3-0-0_113082_2017-07-20_final
2017-09-24 09:44:36	ga_ls8c_ard_3-0-0_095067_2017-09-24_final
2017-10-30 09:27:58	ga_ls8c_ard_3-0-0_091087_2017-10-29_final
2017-12-01 11:05:06	ga_ls8c_ard_3-0-0_107083_2017-12-01_final
2018-05-02 10:12:41	ga_ls8c_ard_3-0-0_099078_2018-05-02_final
2018-06-30 11:35:18	ga_ls8c_ard_3-0-0_112084_2018-06-30_final
2018-07-09 11:23:13	ga_ls8c_ard_3-0-0_111069_2018-07-09_final
2018-09-29 11:13:27	ga_ls8c_ard_3-0-0_109074_2018-09-29_final
2019-01-24 09:50:23	ga_ls8c_ard_3-0-0_096067_2019-01-24_final
2019-03-22 11:22:52	ga_ls8c_ard_3-1-0_111067_2019-03-22_final
2019-07-28 09:44:26	ga_ls8c_ard_3-1-0_095067_2019-07-28_final
2019-08-04 09:57:51	ga_ls8c_ard_3-1-0_096085_2019-08-04_final
2019-12-02 09:07:51	ga_ls8c_ard_3-1-0_088083_2019-12-01_final
2020-02-21 09:44:25	ga_ls8c_ard_3-1-0_095067_2020-02-21_final
2020-03-09 10:28:22	ga_ls8c_ard_3-1-0_102069_2020-03-09_final
2020-03-14 09:16:22	ga_ls8c_ard_3-1-0_089090_2020-03-13_final
2020-05-13 09:38:38	ga_ls8c_ard_3-1-0_093085_2020-05-13_final
2020-05-20 09:40:27	ga_ls8c_ard_3-1-0_094074_2020-05-20_final
2020-06-07 09:28:13	ga_ls8c_ard_3-1-0_092074_2020-06-06_final
2020-08-18 10:18:32	ga_ls8c_ard_3-1-0_100075_2020-08-18_final
2020-09-04 09:22:15	ga_ls8c_ard_3-1-0_091073_2020-09-03_final
2021-01-22 11:24:38	ga_ls8c_ard_3-2-0_111070_2021-01-22_final
2021-01-29 09:50:43	ga_ls8c_ard_3-2-0_096067_2021-01-29_final
2021-01-29 09:57:07	ga_ls8c_ard_3-2-0_096083_2021-01-29_final
2021-07-21 11:01:43	ga_ls8c_ard_3-2-0_107075_2021-07-21_final
2021-09-28 11:23:26	ga_ls8c_ard_3-2-0_110082_2021-09-28_final
2021-11-18 10:16:14	ga_ls8c_ard_3-2-0_099084_2021-11-18_final
2022-05-23 10:52:08	ga_ls8c_ard_3-2-1_105082_2022-05-23_final
2022-06-02 09:52:00	ga_ls8c_ard_3-2-1_095086_2022-06-02_final
2022-07-24 11:05:18	ga_ls8c_ard_3-2-1_107083_2022-07-24_final
2022-09-13 11:34:29	ga_ls8c_ard_3-2-1_112078_2022-09-13_final
2023-01-13 10:30:25	ga_ls8c_ard_3-2-1_102073_2023-01-13_final
2023-06-23 11:13:12	ga_ls8c_ard_3-2-1_109074_2023-06-23_final
2023-07-07 11:29:45	ga_ls8c_ard_3-2-1_111084_2023-07-07_final
2023-10-04 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-04_final
2023-11-02 10:50:01	ga_ls8c_ard_3-2-1_105076_2023-11-02_final
2023-11-21 09:41:16	ga_ls8c_ard_3-2-1_094074_2023-11-21_final
2023-11-28 11:23:56	ga_ls8c_ard_3-2-1_111068_2023-11-28_final
2024-01-12 09:16:49	ga_ls8c_ard_3-2-1_090075_2024-01-11_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