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

98 results

Time (local)	Label
2013-07-30 10:21:42	ga_ls8c_ard_3-0-0_100078_2013-07-30_final
2014-04-20 09:27:46	ga_ls8c_ard_3-0-0_092072_2014-04-19_final
2014-05-20 11:17:49	ga_ls8c_ard_3-0-0_110070_2014-05-20_final
2014-07-22 10:35:43	ga_ls8c_ard_3-0-0_103072_2014-07-22_final
2015-04-14 09:31:26	ga_ls8c_ard_3-0-0_093067_2015-04-14_final
2015-10-21 11:24:33	ga_ls8c_ard_3-0-0_111070_2015-10-21_final
2015-10-27 09:10:37	ga_ls8c_ard_3-0-0_089075_2015-10-26_final
2016-03-04 09:50:29	ga_ls8c_ard_3-0-0_096067_2016-03-04_final
2016-04-07 11:17:32	ga_ls8c_ard_3-0-0_110069_2016-04-07_final
2016-04-14 11:23:41	ga_ls8c_ard_3-0-0_111069_2016-04-14_final
2016-04-30 09:44:00	ga_ls8c_ard_3-0-0_095067_2016-04-30_final
2016-05-07 11:31:51	ga_ls8c_ard_3-0-0_112074_2016-05-07_final
2016-06-05 09:21:45	ga_ls8c_ard_3-0-0_091073_2016-06-04_final
2016-06-12 11:07:38	ga_ls8c_ard_3-0-0_108075_2016-06-12_final
2016-06-26 11:18:06	ga_ls8c_ard_3-0-0_110070_2016-06-26_final
2016-07-03 11:24:21	ga_ls8c_ard_3-0-0_111070_2016-07-03_final
2016-07-23 11:03:45	ga_ls8c_ard_3-0-0_107080_2016-07-23_final
2016-12-06 10:15:26	ga_ls8c_ard_3-0-0_099082_2016-12-06_final
2017-01-11 11:23:28	ga_ls8c_ard_3-0-0_111067_2017-01-11_final
2017-01-13 11:14:41	ga_ls8c_ard_3-0-0_109076_2017-01-13_final
2017-02-02 10:46:15	ga_ls8c_ard_3-0-0_105067_2017-02-02_final
2017-02-25 09:16:59	ga_ls8c_ard_3-0-0_090076_2017-02-24_final
2017-03-26 10:22:42	ga_ls8c_ard_3-0-0_101071_2017-03-26_final
2017-04-26 11:23:14	ga_ls8c_ard_3-0-0_110084_2017-04-26_final
2017-07-08 09:33:50	ga_ls8c_ard_3-0-0_093072_2017-07-08_final
2017-07-29 11:30:13	ga_ls8c_ard_3-0-0_112069_2017-07-29_final
2017-12-03 09:11:28	ga_ls8c_ard_3-0-0_089077_2017-12-02_final
2017-12-29 11:23:28	ga_ls8c_ard_3-0-0_111067_2017-12-29_final
2018-04-13 09:39:10	ga_ls8c_ard_3-0-0_094071_2018-04-13_final
2018-04-18 09:56:03	ga_ls8c_ard_3-0-0_097067_2018-04-18_final
2018-06-02 09:33:02	ga_ls8c_ard_3-0-0_092088_2018-06-02_final
2018-08-21 11:07:25	ga_ls8c_ard_3-0-0_108075_2018-08-21_final
2018-09-20 09:39:52	ga_ls8c_ard_3-0-0_094072_2018-09-20_final
2018-09-24 09:16:46	ga_ls8c_ard_3-0-0_090076_2018-09-23_final
2018-10-01 10:59:30	ga_ls8c_ard_3-0-0_107070_2018-10-01_final
2018-11-09 09:33:23	ga_ls8c_ard_3-0-0_092086_2018-11-09_final
2018-12-12 10:13:23	ga_ls8c_ard_3-0-0_099078_2018-12-12_final
2018-12-18 09:33:55	ga_ls8c_ard_3-0-0_093072_2018-12-18_final
2019-01-19 11:11:33	ga_ls8c_ard_3-0-0_109069_2019-01-19_final
2019-02-13 09:28:24	ga_ls8c_ard_3-1-0_092074_2019-02-12_final
2019-03-12 10:49:01	ga_ls8c_ard_3-1-0_105075_2019-03-12_final
2019-07-03 11:31:23	ga_ls8c_ard_3-1-0_112072_2019-07-03_final
2019-07-07 09:34:34	ga_ls8c_ard_3-1-0_092089_2019-07-07_final
2019-07-26 10:01:34	ga_ls8c_ard_3-1-0_097079_2019-07-26_final
2019-08-10 10:57:41	ga_ls8c_ard_3-1-0_106080_2019-08-10_final
2019-10-12 10:14:18	ga_ls8c_ard_3-1-0_099079_2019-10-12_final
2019-11-26 11:17:26	ga_ls8c_ard_3-1-0_110067_2019-11-26_final
2019-12-04 10:33:34	ga_ls8c_ard_3-1-0_102081_2019-12-04_final
2019-12-14 09:29:21	ga_ls8c_ard_3-2-0_092075_2019-12-13_final
2020-01-04 09:44:37	ga_ls8c_ard_3-1-0_095067_2020-01-04_final
2020-01-07 10:19:54	ga_ls8c_ard_3-1-0_100078_2020-01-07_final
2020-03-10 11:14:01	ga_ls8c_ard_3-1-0_109075_2020-03-10_final
2020-07-02 09:19:52	ga_ls8c_ard_3-1-0_091068_2020-07-01_final
2020-07-04 09:10:19	ga_ls8c_ard_3-1-0_089075_2020-07-03_final
2020-07-15 10:27:56	ga_ls8c_ard_3-1-0_102068_2020-07-15_final
2020-07-22 10:39:21	ga_ls8c_ard_3-1-0_103081_2020-07-22_final
2020-07-23 09:38:08	ga_ls8c_ard_3-1-0_094067_2020-07-23_final
2020-08-01 11:14:28	ga_ls8c_ard_3-1-0_109076_2020-08-01_final
2020-08-17 09:34:04	ga_ls8c_ard_3-1-0_093072_2020-08-17_final
2020-08-28 09:17:13	ga_ls8c_ard_3-1-0_090076_2020-08-27_final
2020-09-23 09:50:52	ga_ls8c_ard_3-1-0_096067_2020-09-23_final
2020-09-25 11:18:36	ga_ls8c_ard_3-1-0_110070_2020-09-25_final
2020-09-29 09:17:24	ga_ls8c_ard_3-1-0_090076_2020-09-28_final
2020-10-26 10:36:10	ga_ls8c_ard_3-1-0_103072_2020-10-26_final
2020-12-20 09:06:40	ga_ls8c_ard_3-2-0_088080_2020-12-19_final
2020-12-28 09:50:53	ga_ls8c_ard_3-2-0_096067_2020-12-28_final
2021-02-07 09:52:06	ga_ls8c_ard_3-2-0_095086_2021-02-07_final
2021-02-12 10:03:26	ga_ls8c_ard_3-2-0_098068_2021-02-12_final
2021-03-18 11:32:05	ga_ls8c_ard_3-2-0_112074_2021-03-18_final
2021-03-23 10:10:32	ga_ls8c_ard_3-2-0_099071_2021-03-23_final
2021-05-14 11:23:40	ga_ls8c_ard_3-2-0_111069_2021-05-14_final
2021-08-02 09:45:40	ga_ls8c_ard_3-2-0_095070_2021-08-02_final
2021-08-04 09:33:43	ga_ls8c_ard_3-2-0_093071_2021-08-04_final
2021-08-13 09:28:48	ga_ls8c_ard_3-2-0_092074_2021-08-12_final
2021-08-14 10:09:40	ga_ls8c_ard_3-2-0_099068_2021-08-14_final
2021-10-01 10:14:16	ga_ls8c_ard_3-2-0_099079_2021-10-01_final
2021-11-02 10:09:57	ga_ls8c_ard_3-2-0_099068_2021-11-02_final
2021-11-22 09:46:21	ga_ls8c_ard_3-2-0_095071_2021-11-22_final
2022-02-01 09:58:18	ga_ls8c_ard_3-2-1_096086_2022-02-01_final
2022-03-06 10:34:15	ga_ls8c_ard_3-2-1_103068_2022-03-06_final
2022-04-11 10:10:33	ga_ls8c_ard_3-2-1_099071_2022-04-11_final
2022-06-22 09:27:53	ga_ls8c_ard_3-2-1_091087_2022-06-21_final
2022-06-23 10:07:34	ga_ls8c_ard_3-2-1_098078_2022-06-23_final
2022-09-26 11:05:36	ga_ls8c_ard_3-2-1_107083_2022-09-26_final
2022-11-27 09:39:47	ga_ls8c_ard_3-2-1_093085_2022-11-27_final
2023-02-01 11:01:45	ga_ls8c_ard_3-2-1_107074_2023-02-01_final
2023-02-02 10:05:20	ga_ls8c_ard_3-2-1_098072_2023-02-02_final
2023-03-13 10:13:53	ga_ls8c_ard_3-2-1_099079_2023-03-13_final
2023-04-29 09:27:21	ga_ls8c_ard_3-2-1_092072_2023-04-28_final
2023-08-26 09:40:02	ga_ls8c_ard_3-2-1_093087_2023-08-26_final
2023-09-20 09:27:56	ga_ls8c_ard_3-2-1_092072_2023-09-19_final
2023-09-22 10:55:39	ga_ls8c_ard_3-2-1_106075_2023-09-22_final
2023-10-17 10:49:57	ga_ls8c_ard_3-2-1_105076_2023-10-17_final
2023-11-08 10:13:16	ga_ls8c_ard_3-2-1_099077_2023-11-08_final
2023-11-16 09:22:17	ga_ls8c_ard_3-2-1_091073_2023-11-15_final
2024-01-11 11:52:31	ga_ls8c_ard_3-2-1_115078_2024-01-11_final
2024-03-16 09:16:55	ga_ls8c_ard_3-2-1_090076_2024-03-15_final
2024-03-20 10:33:25	ga_ls8c_ard_3-2-1_102082_2024-03-20_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