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

73 results

Time (local)	Label
2013-10-15 09:48:40	ga_ls8c_ard_3-0-0_095073_2013-10-15_final
2014-01-21 09:33:35	ga_ls8c_ard_3-0-0_093068_2014-01-21_final
2014-03-20 10:13:33	ga_ls8c_ard_3-0-0_099077_2014-03-20_final
2014-04-07 11:42:11	ga_ls8c_ard_3-0-0_113083_2014-04-07_final
2014-05-02 09:57:29	ga_ls8c_ard_3-0-0_096085_2014-05-02_final
2014-08-20 10:07:25	ga_ls8c_ard_3-0-0_098078_2014-08-20_final
2014-10-27 09:40:25	ga_ls8c_ard_3-0-0_094072_2014-10-27_final
2015-03-31 11:02:23	ga_ls8c_ard_3-0-0_107078_2015-03-31_final
2015-06-18 10:18:36	ga_ls8c_ard_3-0-0_100077_2015-06-18_final
2015-10-25 09:22:10	ga_ls8c_ard_3-0-0_091073_2015-10-24_final
2016-02-17 11:31:23	ga_ls8c_ard_3-0-0_112072_2016-02-17_final
2016-03-09 10:15:23	ga_ls8c_ard_3-0-0_099083_2016-03-09_final
2016-06-15 10:01:15	ga_ls8c_ard_3-0-0_097079_2016-06-15_final
2016-06-23 10:49:10	ga_ls8c_ard_3-0-0_105075_2016-06-23_final
2016-06-24 11:30:27	ga_ls8c_ard_3-0-0_112070_2016-06-24_final
2016-08-13 09:40:16	ga_ls8c_ard_3-0-0_094072_2016-08-13_final
2016-11-19 09:29:00	ga_ls8c_ard_3-0-0_092074_2016-11-18_final
2016-12-05 09:34:10	ga_ls8c_ard_3-0-0_092087_2016-12-05_final
2016-12-16 09:10:23	ga_ls8c_ard_3-0-0_089074_2016-12-15_final
2017-01-22 09:27:59	ga_ls8c_ard_3-0-0_092072_2017-01-21_final
2017-03-20 09:21:21	ga_ls8c_ard_3-0-0_091072_2017-03-19_final
2017-04-17 09:45:50	ga_ls8c_ard_3-0-0_095072_2017-04-17_final
2017-07-02 10:13:18	ga_ls8c_ard_3-0-0_099078_2017-07-02_final
2017-10-09 10:44:41	ga_ls8c_ard_3-0-0_104078_2017-10-09_final
2017-12-15 09:33:49	ga_ls8c_ard_3-0-0_093071_2017-12-15_final
2017-12-26 09:20:28	ga_ls8c_ard_3-0-0_090084_2017-12-25_final
2018-01-18 09:21:43	ga_ls8c_ard_3-0-0_091072_2018-01-17_final
2018-02-06 09:51:38	ga_ls8c_ard_3-0-0_096070_2018-02-06_final
2018-02-12 09:16:55	ga_ls8c_ard_3-0-0_090076_2018-02-11_final
2018-04-10 10:45:59	ga_ls8c_ard_3-0-0_105068_2018-04-10_final
2018-08-16 10:48:50	ga_ls8c_ard_3-0-0_105075_2018-08-16_final
2018-09-11 11:25:17	ga_ls8c_ard_3-0-0_111073_2018-09-11_final
2018-12-14 09:57:26	ga_ls8c_ard_3-0-0_097069_2018-12-14_final
2018-12-29 09:16:58	ga_ls8c_ard_3-0-0_090076_2018-12-28_final
2019-01-31 09:59:20	ga_ls8c_ard_3-0-0_097074_2019-01-31_final
2019-02-27 09:39:31	ga_ls8c_ard_3-0-0_094071_2019-02-27_final
2019-03-17 09:27:27	ga_ls8c_ard_3-1-0_092072_2019-03-16_final
2019-05-23 09:57:13	ga_ls8c_ard_3-0-0_097069_2019-05-23_final
2019-05-25 09:47:40	ga_ls8c_ard_3-0-0_095076_2019-05-25_final
2019-07-25 09:21:29	ga_ls8c_ard_3-1-0_090087_2019-07-24_final
2019-08-06 11:18:00	ga_ls8c_ard_3-1-0_110069_2019-08-06_final
2019-08-31 11:16:43	ga_ls8c_ard_3-1-0_109081_2019-08-31_final
2019-10-22 09:15:18	ga_ls8c_ard_3-1-0_089086_2019-10-21_final
2020-01-27 09:53:30	ga_ls8c_ard_3-1-0_096074_2020-01-27_final
2020-05-22 09:27:18	ga_ls8c_ard_3-1-0_092072_2020-05-21_final
2020-08-06 09:51:21	ga_ls8c_ard_3-1-0_096069_2020-08-06_final
2021-05-10 10:13:26	ga_ls8c_ard_3-2-0_099079_2021-05-10_final
2021-06-28 09:21:23	ga_ls8c_ard_3-2-0_090087_2021-06-27_final
2021-07-20 10:19:15	ga_ls8c_ard_3-2-0_100077_2021-07-20_final
2021-08-18 09:46:34	ga_ls8c_ard_3-2-0_095072_2021-08-18_final
2021-11-17 09:29:00	ga_ls8c_ard_3-2-0_092074_2021-11-16_final
2022-01-22 10:52:34	ga_ls8c_ard_3-2-1_106067_2022-01-22_final
2022-01-29 09:27:48	ga_ls8c_ard_3-2-1_091087_2022-01-28_final
2022-02-13 10:22:11	ga_ls8c_ard_3-2-1_100084_2022-02-13_final
2022-02-15 10:04:13	ga_ls8c_ard_3-2-1_098070_2022-02-15_final
2022-08-18 09:21:13	ga_ls8c_ard_3-2-1_090085_2022-08-17_final
2022-08-21 09:48:08	ga_ls8c_ard_3-2-1_095075_2022-08-21_final
2022-10-28 09:23:31	ga_ls8c_ard_3-2-1_091075_2022-10-27_final
2022-11-24 09:08:05	ga_ls8c_ard_3-2-1_088083_2022-11-23_final
2023-01-18 09:13:59	ga_ls8c_ard_3-2-1_089083_2023-01-17_final
2023-02-28 10:43:17	ga_ls8c_ard_3-2-1_104075_2023-02-28_final
2023-03-23 09:13:09	ga_ls8c_ard_3-2-1_089082_2023-03-22_final
2023-03-30 09:20:53	ga_ls8c_ard_3-2-1_090086_2023-03-29_final
2023-04-07 11:46:41	ga_ls8c_ard_3-2-1_114080_2023-04-07_final
2023-07-05 10:01:13	ga_ls8c_ard_3-2-1_097079_2023-07-05_final
2023-09-18 11:17:59	ga_ls8c_ard_3-2-1_110069_2023-09-18_final
2023-09-20 11:11:12	ga_ls8c_ard_3-2-1_108083_2023-09-20_final
2023-09-29 09:23:00	ga_ls8c_ard_3-2-1_091075_2023-09-28_final
2023-10-15 09:22:39	ga_ls8c_ard_3-2-1_091074_2023-10-14_final
2024-01-03 12:37:33	ga_ls8c_ard_3-2-1_123067_2024-01-03_final
2024-01-15 11:24:37	ga_ls8c_ard_3-2-1_111070_2024-01-15_final
2024-03-05 11:16:25	ga_ls8c_ard_3-2-1_109081_2024-03-05_final
2024-03-10 11:31:19	ga_ls8c_ard_3-2-1_112072_2024-03-10_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years