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

71 results

Time (local)	Label
2013-06-20 11:09:52	ga_ls8c_ard_3-0-0_108075_2013-06-20_final
2013-08-28 09:47:39	ga_ls8c_ard_3-0-0_095070_2013-08-28_final
2013-10-12 10:54:40	ga_ls8c_ard_3-0-0_106068_2013-10-12_final
2014-02-25 11:42:33	ga_ls8c_ard_3-0-0_114067_2014-02-25_final
2014-04-14 10:04:33	ga_ls8c_ard_3-0-0_098071_2014-04-14_final
2014-05-20 09:39:44	ga_ls8c_ard_3-0-0_094072_2014-05-20_final
2014-10-11 09:41:14	ga_ls8c_ard_3-0-0_094074_2014-10-11_final
2014-10-29 11:07:43	ga_ls8c_ard_3-0-0_108074_2014-10-29_final
2014-11-02 10:40:37	ga_ls8c_ard_3-0-0_104068_2014-11-02_final
2015-01-26 11:03:19	ga_ls8c_ard_3-0-0_107079_2015-01-26_final
2015-03-19 10:34:38	ga_ls8c_ard_3-0-0_103070_2015-03-19_final
2015-09-05 09:31:53	ga_ls8c_ard_3-0-0_093067_2015-09-05_final
2015-11-04 10:04:04	ga_ls8c_ard_3-0-0_097085_2015-11-04_final
2016-01-06 09:22:45	ga_ls8c_ard_3-0-0_090090_2016-01-05_final
2016-03-20 11:31:15	ga_ls8c_ard_3-0-0_112072_2016-03-20_final
2016-04-01 10:18:09	ga_ls8c_ard_3-0-0_100075_2016-04-01_final
2016-04-03 11:45:28	ga_ls8c_ard_3-0-0_114077_2016-04-03_final
2016-09-02 10:54:35	ga_ls8c_ard_3-0-0_106072_2016-09-02_final
2016-09-03 09:58:10	ga_ls8c_ard_3-0-0_097070_2016-09-03_final
2016-09-26 10:07:58	ga_ls8c_ard_3-0-0_098079_2016-09-26_final
2016-09-27 09:13:33	ga_ls8c_ard_3-0-0_089082_2016-09-26_final
2016-11-25 10:30:24	ga_ls8c_ard_3-0-0_102073_2016-11-25_final
2017-02-17 10:04:28	ga_ls8c_ard_3-0-0_098071_2017-02-17_final
2017-02-19 11:29:24	ga_ls8c_ard_3-0-0_112067_2017-02-19_final
2017-06-08 09:27:20	ga_ls8c_ard_3-0-0_091087_2017-06-07_final
2017-07-06 11:23:29	ga_ls8c_ard_3-0-0_111068_2017-07-06_final
2017-08-29 09:10:37	ga_ls8c_ard_3-0-0_089075_2017-08-28_final
2017-11-08 09:20:10	ga_ls8c_ard_3-0-0_090083_2017-11-07_final
2017-12-02 10:09:53	ga_ls8c_ard_3-0-0_098084_2017-12-02_final
2017-12-13 11:23:27	ga_ls8c_ard_3-0-0_111067_2017-12-13_final
2017-12-19 10:48:00	ga_ls8c_ard_3-0-0_105071_2017-12-19_final
2017-12-25 10:10:55	ga_ls8c_ard_3-0-0_099071_2017-12-25_final
2018-01-05 11:32:00	ga_ls8c_ard_3-0-0_112073_2018-01-05_final
2018-03-08 10:03:23	ga_ls8c_ard_3-0-0_098069_2018-03-08_final
2018-03-23 09:22:00	ga_ls8c_ard_3-0-0_091074_2018-03-22_final
2018-05-22 11:24:37	ga_ls8c_ard_3-0-0_111073_2018-05-22_final
2018-12-16 09:46:16	ga_ls8c_ard_3-0-0_095072_2018-12-16_final
2019-03-29 09:54:56	ga_ls8c_ard_3-1-0_096079_2019-03-29_final
2019-05-10 10:33:10	ga_ls8c_ard_3-0-0_102082_2019-05-10_final
2019-07-05 11:20:13	ga_ls8c_ard_3-1-0_110075_2019-07-05_final
2019-07-25 09:21:53	ga_ls8c_ard_3-1-0_090088_2019-07-24_final
2019-10-22 10:49:24	ga_ls8c_ard_3-1-0_105074_2019-10-22_final
2019-11-19 11:13:15	ga_ls8c_ard_3-1-0_109072_2019-11-19_final
2020-02-14 11:17:57	ga_ls8c_ard_3-1-0_110069_2020-02-14_final
2020-07-05 11:29:17	ga_ls8c_ard_3-1-0_112067_2020-07-05_final
2020-10-09 09:52:07	ga_ls8c_ard_3-1-0_096070_2020-10-09_final
2020-12-21 11:24:49	ga_ls8c_ard_3-2-0_111070_2020-12-21_final
2021-01-27 10:09:28	ga_ls8c_ard_3-2-0_098083_2021-01-27_final
2021-02-04 09:17:37	ga_ls8c_ard_3-2-0_090077_2021-02-03_final
2021-02-16 11:23:58	ga_ls8c_ard_3-2-0_110084_2021-02-16_final
2021-03-23 10:09:20	ga_ls8c_ard_3-2-0_099068_2021-03-23_final
2021-05-04 10:46:07	ga_ls8c_ard_3-2-0_105068_2021-05-04_final
2021-05-30 11:25:25	ga_ls8c_ard_3-2-0_111073_2021-05-30_final
2021-08-07 11:46:43	ga_ls8c_ard_3-2-0_114079_2021-08-07_final
2021-08-22 09:28:15	ga_ls8c_ard_3-2-0_091088_2021-08-21_final
2021-09-01 10:00:59	ga_ls8c_ard_3-2-0_097077_2021-09-01_final
2022-02-07 09:22:01	ga_ls8c_ard_3-2-1_090088_2022-02-06_final
2022-03-09 11:07:08	ga_ls8c_ard_3-2-1_108073_2022-03-09_final
2022-08-03 11:42:29	ga_ls8c_ard_3-2-1_113083_2022-08-03_final
2022-10-21 10:55:22	ga_ls8c_ard_3-2-1_106073_2022-10-21_final
2022-12-07 10:16:28	ga_ls8c_ard_3-2-1_099084_2022-12-07_final
2022-12-29 09:40:50	ga_ls8c_ard_3-2-1_093088_2022-12-29_final
2023-02-12 10:45:31	ga_ls8c_ard_3-2-1_104080_2023-02-12_final
2023-03-22 10:03:37	ga_ls8c_ard_3-2-1_098069_2023-03-22_final
2023-03-24 11:31:18	ga_ls8c_ard_3-2-1_112072_2023-03-24_final
2023-04-13 11:05:07	ga_ls8c_ard_3-2-1_108069_2023-04-13_final
2023-05-05 10:30:41	ga_ls8c_ard_3-2-1_102076_2023-05-05_final
2023-07-25 11:14:41	ga_ls8c_ard_3-2-1_109077_2023-07-25_final
2024-01-01 11:14:15	ga_ls8c_ard_3-2-1_109075_2024-01-01_final
2024-01-28 10:54:48	ga_ls8c_ard_3-2-1_106073_2024-01-28_final
2024-02-10 10:27:35	ga_ls8c_ard_3-2-1_101082_2024-02-10_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