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

100 results

Time (local)	Label
2013-05-22 11:39:41	ga_ls8c_ard_3-0-0_113072_2013-05-22_final
2013-06-15 10:51:47	ga_ls8c_ard_3-0-0_105076_2013-06-15_final
2013-08-15 10:21:18	ga_ls8c_ard_3-0-0_100077_2013-08-15_final
2013-10-28 09:18:49	ga_ls8c_ard_3-0-0_090076_2013-10-27_final
2013-11-08 10:41:35	ga_ls8c_ard_3-0-0_103082_2013-11-08_final
2013-12-07 11:43:27	ga_ls8c_ard_3-0-0_114067_2013-12-07_final
2013-12-29 09:29:17	ga_ls8c_ard_3-0-0_092072_2013-12-28_final
2014-01-16 09:18:15	ga_ls8c_ard_3-0-0_090076_2014-01-15_final
2014-06-01 10:02:33	ga_ls8c_ard_3-0-0_098067_2014-06-01_final
2014-08-11 10:13:34	ga_ls8c_ard_3-0-0_099078_2014-08-11_final
2014-11-05 09:32:40	ga_ls8c_ard_3-1-0_093068_2014-11-05_final
2014-11-30 09:28:51	ga_ls8c_ard_3-0-0_092074_2014-11-29_final
2015-01-19 09:16:42	ga_ls8c_ard_3-0-0_090075_2015-01-18_final
2015-01-25 10:22:02	ga_ls8c_ard_3-0-0_100084_2015-01-25_final
2015-03-08 09:16:23	ga_ls8c_ard_3-0-0_090075_2015-03-07_final
2015-05-24 10:21:45	ga_ls8c_ard_3-0-0_101070_2015-05-24_final
2015-09-25 09:10:07	ga_ls8c_ard_3-0-0_089074_2015-09-24_final
2015-11-08 09:34:09	ga_ls8c_ard_3-0-0_093072_2015-11-08_final
2015-11-22 09:46:33	ga_ls8c_ard_3-0-0_095072_2015-11-22_final
2015-12-04 10:10:28	ga_ls8c_ard_3-0-0_099070_2015-12-04_final
2016-02-17 11:31:23	ga_ls8c_ard_3-0-0_112072_2016-02-17_final
2016-02-26 09:45:30	ga_ls8c_ard_3-0-0_095070_2016-02-26_final
2016-03-20 11:31:39	ga_ls8c_ard_3-0-0_112073_2016-03-20_final
2016-04-16 09:33:13	ga_ls8c_ard_3-0-0_093071_2016-04-16_final
2016-05-09 09:37:48	ga_ls8c_ard_3-0-0_094067_2016-05-09_final
2016-06-03 09:33:43	ga_ls8c_ard_3-0-0_093072_2016-06-03_final
2016-06-05 09:21:45	ga_ls8c_ard_3-0-0_091073_2016-06-04_final
2016-10-14 09:51:43	ga_ls8c_ard_3-0-0_096069_2016-10-14_final
2016-11-05 09:17:26	ga_ls8c_ard_3-0-0_090076_2016-11-04_final
2016-11-26 09:34:23	ga_ls8c_ard_3-0-0_093072_2016-11-26_final
2016-11-28 09:22:25	ga_ls8c_ard_3-0-0_091073_2016-11-27_final
2016-12-28 09:34:40	ga_ls8c_ard_3-0-0_093073_2016-12-28_final
2017-02-21 11:17:49	ga_ls8c_ard_3-0-0_110069_2017-02-21_final
2017-03-03 10:16:45	ga_ls8c_ard_3-0-0_100071_2017-03-03_final
2017-04-10 09:37:44	ga_ls8c_ard_3-0-0_094067_2017-04-10_final
2017-04-29 10:12:49	ga_ls8c_ard_3-0-0_099078_2017-04-29_final
2017-06-23 11:58:20	ga_ls8c_ard_3-0-0_116078_2017-06-23_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
2017-09-12 09:21:47	ga_ls8c_ard_3-0-0_091072_2017-09-11_final
2017-09-30 10:50:02	ga_ls8c_ard_3-0-0_105076_2017-09-30_final
2017-10-19 09:40:31	ga_ls8c_ard_3-0-0_094072_2017-10-19_final
2017-12-06 09:40:22	ga_ls8c_ard_3-0-0_094072_2017-12-06_final
2017-12-13 09:45:46	ga_ls8c_ard_3-0-0_095070_2017-12-13_final
2018-01-11 09:16:47	ga_ls8c_ard_3-0-0_090075_2018-01-10_final
2018-01-18 09:21:43	ga_ls8c_ard_3-0-0_091072_2018-01-17_final
2018-02-01 09:34:19	ga_ls8c_ard_3-0-0_093073_2018-02-01_final
2018-02-22 11:31:38	ga_ls8c_ard_3-0-0_112073_2018-02-22_final
2018-02-26 11:07:16	ga_ls8c_ard_3-0-0_108074_2018-02-26_final
2018-04-17 09:16:00	ga_ls8c_ard_3-0-0_090075_2018-04-16_final
2018-05-25 10:18:11	ga_ls8c_ard_3-0-0_100077_2018-05-25_final
2018-07-12 10:18:51	ga_ls8c_ard_3-0-0_100078_2018-07-12_final
2018-10-13 11:23:55	ga_ls8c_ard_3-0-0_111069_2018-10-13_final
2018-10-19 09:10:23	ga_ls8c_ard_3-0-0_089075_2018-10-18_final
2018-11-04 09:10:03	ga_ls8c_ard_3-0-0_089074_2018-11-03_final
2018-12-16 11:24:45	ga_ls8c_ard_3-0-0_111071_2018-12-16_final
2018-12-25 11:16:59	ga_ls8c_ard_3-0-0_110067_2018-12-25_final
2019-03-13 11:31:04	ga_ls8c_ard_3-1-0_112072_2019-03-13_final
2019-04-25 09:33:26	ga_ls8c_ard_3-0-0_093072_2019-04-25_final
2019-04-27 09:22:16	ga_ls8c_ard_3-0-0_091075_2019-04-26_final
2019-07-16 09:27:37	ga_ls8c_ard_3-1-0_091087_2019-07-15_final
2019-08-01 09:21:44	ga_ls8c_ard_3-1-0_091072_2019-07-31_final
2019-08-09 10:13:13	ga_ls8c_ard_3-1-0_099077_2019-08-09_final
2019-10-20 09:22:05	ga_ls8c_ard_3-1-0_091072_2019-10-19_final
2019-11-05 09:22:52	ga_ls8c_ard_3-1-0_091074_2019-11-04_final
2020-01-24 09:23:49	ga_ls8c_ard_3-1-0_091077_2020-01-23_final
2020-02-10 10:04:12	ga_ls8c_ard_3-1-0_098070_2020-02-10_final
2020-03-26 09:33:24	ga_ls8c_ard_3-1-0_093071_2020-03-26_final
2020-06-23 09:27:35	ga_ls8c_ard_3-1-0_092072_2020-06-22_final
2020-07-04 09:09:55	ga_ls8c_ard_3-1-0_089074_2020-07-03_final
2020-07-07 09:38:03	ga_ls8c_ard_3-1-0_094067_2020-07-07_final
2020-07-11 09:18:32	ga_ls8c_ard_3-1-0_090080_2020-07-10_final
2020-08-01 11:13:40	ga_ls8c_ard_3-1-0_109074_2020-08-01_final
2020-08-18 10:19:44	ga_ls8c_ard_3-1-0_100078_2020-08-18_final
2020-08-25 10:22:47	ga_ls8c_ard_3-1-0_101070_2020-08-25_final
2020-09-20 09:21:57	ga_ls8c_ard_3-1-0_091072_2020-09-19_final
2020-10-15 09:17:26	ga_ls8c_ard_3-1-0_090076_2020-10-14_final
2020-12-11 09:10:28	ga_ls8c_ard_3-1-0_089074_2020-12-10_final
2020-12-16 09:29:24	ga_ls8c_ard_3-1-0_092075_2020-12-15_final
2021-01-04 09:57:26	ga_ls8c_ard_3-2-0_097068_2021-01-04_final
2021-03-02 11:32:15	ga_ls8c_ard_3-2-0_112074_2021-03-02_final
2021-04-08 10:09:16	ga_ls8c_ard_3-2-0_099068_2021-04-08_final
2021-04-09 10:52:31	ga_ls8c_ard_3-2-0_106068_2021-04-09_final
2021-05-28 09:56:53	ga_ls8c_ard_3-2-0_097068_2021-05-28_final
2021-08-27 11:18:06	ga_ls8c_ard_3-2-0_110069_2021-08-27_final
2021-09-14 09:28:56	ga_ls8c_ard_3-2-0_092074_2021-09-13_final
2021-10-24 10:19:44	ga_ls8c_ard_3-2-0_100077_2021-10-24_final
2022-01-21 10:13:42	ga_ls8c_ard_3-2-1_099078_2022-01-21_final
2022-10-12 09:22:36	ga_ls8c_ard_3-2-1_091073_2022-10-11_final
2022-10-27 10:19:56	ga_ls8c_ard_3-2-1_100077_2022-10-27_final
2022-11-25 11:25:02	ga_ls8c_ard_3-2-1_111070_2022-11-25_final
2023-01-08 10:10:19	ga_ls8c_ard_3-2-1_099069_2023-01-08_final
2023-02-15 09:34:43	ga_ls8c_ard_3-2-1_093073_2023-02-15_final
2023-06-10 10:02:22	ga_ls8c_ard_3-2-1_098067_2023-06-10_final
2023-06-26 10:02:53	ga_ls8c_ard_3-2-1_098068_2023-06-26_final
2023-08-29 10:02:57	ga_ls8c_ard_3-2-1_098067_2023-08-29_final
2023-10-25 09:56:58	ga_ls8c_ard_3-2-1_097067_2023-10-25_final
2024-01-04 10:03:02	ga_ls8c_ard_3-2-1_098067_2024-01-04_final
2024-02-11 09:27:58	ga_ls8c_ard_3-2-1_092072_2024-02-10_final
2024-02-28 10:10:44	ga_ls8c_ard_3-2-1_099071_2024-02-28_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