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

94 results

Time (local)	Label
2013-04-26 09:23:26	ga_ls8c_ard_3-0-0_091072_2013-04-25_final
2014-01-15 11:54:21	ga_ls8c_ard_3-0-0_115080_2014-01-15_final
2014-01-28 11:18:13	ga_ls8c_ard_3-0-0_110067_2014-01-28_final
2014-06-23 11:09:15	ga_ls8c_ard_3-0-0_108079_2014-06-23_final
2014-08-21 09:14:35	ga_ls8c_ard_3-0-0_089085_2014-08-20_final
2015-03-23 10:09:04	ga_ls8c_ard_3-0-0_099068_2015-03-23_final
2015-06-21 10:51:31	ga_ls8c_ard_3-0-0_105082_2015-06-21_final
2015-07-29 11:52:25	ga_ls8c_ard_3-0-0_115079_2015-07-29_final
2015-08-06 09:21:42	ga_ls8c_ard_3-0-0_091073_2015-08-05_final
2015-12-25 10:33:24	ga_ls8c_ard_3-0-0_102081_2015-12-25_final
2016-01-02 09:40:19	ga_ls8c_ard_3-0-0_094072_2016-01-02_final
2016-01-28 11:57:51	ga_ls8c_ard_3-0-0_116076_2016-01-28_final
2016-03-30 10:32:56	ga_ls8c_ard_3-0-0_102081_2016-03-30_final
2016-06-05 11:02:14	ga_ls8c_ard_3-0-0_107077_2016-06-05_final
2016-06-08 09:57:51	ga_ls8c_ard_3-0-0_096086_2016-06-08_final
2016-07-21 09:34:01	ga_ls8c_ard_3-0-0_093072_2016-07-21_final
2016-08-06 09:34:28	ga_ls8c_ard_3-0-0_093073_2016-08-06_final
2016-11-17 09:40:58	ga_ls8c_ard_3-0-0_094073_2016-11-17_final
2016-11-22 09:57:07	ga_ls8c_ard_3-0-0_097067_2016-11-22_final
2017-01-04 09:42:25	ga_ls8c_ard_3-0-0_094077_2017-01-04_final
2017-01-09 09:56:57	ga_ls8c_ard_3-0-0_097067_2017-01-09_final
2017-01-16 10:04:18	ga_ls8c_ard_3-0-0_098070_2017-01-16_final
2017-03-06 09:15:55	ga_ls8c_ard_3-0-0_089089_2017-03-05_final
2017-04-12 09:28:09	ga_ls8c_ard_3-0-0_092074_2017-04-11_final
2017-05-19 09:45:05	ga_ls8c_ard_3-0-0_095070_2017-05-19_final
2017-06-06 09:33:41	ga_ls8c_ard_3-0-0_093072_2017-06-06_final
2017-08-21 11:37:43	ga_ls8c_ard_3-0-0_113072_2017-08-21_final
2017-09-22 09:56:56	ga_ls8c_ard_3-0-0_097067_2017-09-22_final
2017-10-10 11:25:10	ga_ls8c_ard_3-0-0_111071_2017-10-10_final
2017-10-14 09:29:09	ga_ls8c_ard_3-0-0_091090_2017-10-13_final
2017-12-01 09:22:37	ga_ls8c_ard_3-0-0_091074_2017-11-30_final
2018-01-01 11:57:32	ga_ls8c_ard_3-0-0_116075_2018-01-01_final
2018-01-02 09:22:38	ga_ls8c_ard_3-0-0_091074_2018-01-01_final
2018-01-06 10:34:46	ga_ls8c_ard_3-0-0_103069_2018-01-06_final
2018-01-09 09:27:58	ga_ls8c_ard_3-0-0_092072_2018-01-08_final
2018-01-20 10:47:25	ga_ls8c_ard_3-0-0_105070_2018-01-20_final
2018-04-02 09:56:13	ga_ls8c_ard_3-0-0_097067_2018-04-02_final
2018-06-26 11:56:24	ga_ls8c_ard_3-0-0_116075_2018-06-26_final
2018-06-26 11:56:48	ga_ls8c_ard_3-0-0_116076_2018-06-26_final
2018-07-09 11:23:37	ga_ls8c_ard_3-0-0_111070_2018-07-09_final
2018-08-15 10:08:46	ga_ls8c_ard_3-0-0_098083_2018-08-15_final
2018-09-15 09:21:42	ga_ls8c_ard_3-0-0_091073_2018-09-14_final
2018-11-28 09:57:05	ga_ls8c_ard_3-0-0_097068_2018-11-28_final
2018-12-16 11:24:22	ga_ls8c_ard_3-0-0_111070_2018-12-16_final
2019-01-23 09:10:19	ga_ls8c_ard_3-0-0_089075_2019-01-22_final
2019-01-28 11:05:44	ga_ls8c_ard_3-0-0_108070_2019-01-28_final
2019-02-20 09:34:10	ga_ls8c_ard_3-0-0_093073_2019-02-20_final
2019-02-22 09:21:48	ga_ls8c_ard_3-0-0_091073_2019-02-21_final
2019-02-24 09:13:01	ga_ls8c_ard_3-0-0_089082_2019-02-23_final
2019-05-02 09:39:15	ga_ls8c_ard_3-0-0_094071_2019-05-02_final
2019-07-09 09:17:02	ga_ls8c_ard_3-1-0_090076_2019-07-08_final
2019-07-30 09:39:40	ga_ls8c_ard_3-1-0_093086_2019-07-30_final
2019-08-07 10:22:47	ga_ls8c_ard_3-1-0_101070_2019-08-07_final
2019-08-13 09:46:08	ga_ls8c_ard_3-1-0_095071_2019-08-13_final
2019-08-31 09:34:38	ga_ls8c_ard_3-1-0_093073_2019-08-31_final
2019-09-11 10:58:14	ga_ls8c_ard_3-1-0_106081_2019-09-11_final
2019-09-14 11:24:45	ga_ls8c_ard_3-1-0_111070_2019-09-14_final
2019-10-07 11:31:50	ga_ls8c_ard_3-1-0_112072_2019-10-07_final
2019-11-26 11:18:38	ga_ls8c_ard_3-1-0_110070_2019-11-26_final
2020-01-17 12:31:27	ga_ls8c_ard_3-2-1_122067_2020-01-17_final
2020-02-09 09:25:43	ga_ls8c_ard_3-1-0_091082_2020-02-08_final
2020-02-19 09:56:47	ga_ls8c_ard_3-1-0_097067_2020-02-19_final
2020-03-15 11:31:20	ga_ls8c_ard_3-1-0_112072_2020-03-15_final
2020-03-21 09:22:30	ga_ls8c_ard_3-1-0_090090_2020-03-20_final
2020-05-01 10:49:16	ga_ls8c_ard_3-1-0_105076_2020-05-01_final
2020-07-02 09:22:16	ga_ls8c_ard_3-1-0_091074_2020-07-01_final
2020-07-25 09:27:47	ga_ls8c_ard_3-1-0_092072_2020-07-24_final
2020-07-30 11:24:02	ga_ls8c_ard_3-1-0_111069_2020-07-30_final
2020-08-06 11:31:26	ga_ls8c_ard_3-1-0_112072_2020-08-06_final
2020-08-19 09:22:32	ga_ls8c_ard_3-1-0_091074_2020-08-18_final
2020-09-25 09:44:30	ga_ls8c_ard_3-1-0_094082_2020-09-25_final
2020-09-25 11:24:11	ga_ls8c_ard_3-1-0_110084_2020-09-25_final
2020-12-09 09:23:14	ga_ls8c_ard_3-1-0_091075_2020-12-08_final
2021-01-28 10:47:09	ga_ls8c_ard_3-2-0_105069_2021-01-28_final
2021-02-01 10:22:49	ga_ls8c_ard_3-2-0_101070_2021-02-01_final
2021-04-19 09:51:03	ga_ls8c_ard_3-2-0_096069_2021-04-19_final
2021-04-25 09:16:42	ga_ls8c_ard_3-2-0_090076_2021-04-24_final
2021-05-25 09:25:33	ga_ls8c_ard_3-2-0_092067_2021-05-24_final
2021-08-22 09:22:16	ga_ls8c_ard_3-2-0_091073_2021-08-21_final
2021-08-23 11:47:36	ga_ls8c_ard_3-2-0_114081_2021-08-23_final
2022-01-02 09:40:52	ga_ls8c_ard_3-2-1_094073_2022-01-02_final
2022-01-03 10:23:20	ga_ls8c_ard_3-2-1_101071_2022-01-03_final
2022-02-14 09:21:46	ga_ls8c_ard_3-2-1_091072_2022-02-13_final
2022-04-15 11:25:08	ga_ls8c_ard_3-2-1_111072_2022-04-15_final
2022-08-20 09:08:04	ga_ls8c_ard_3-2-1_088083_2022-08-19_final
2022-09-23 10:33:54	ga_ls8c_ard_3-2-1_102081_2022-09-23_final
2022-10-05 09:21:42	ga_ls8c_ard_3-2-1_090086_2022-10-04_final
2022-10-31 11:36:30	ga_ls8c_ard_3-2-1_112083_2022-10-31_final
2022-11-18 11:24:24	ga_ls8c_ard_3-2-1_110084_2022-11-18_final
2023-04-27 11:23:00	ga_ls8c_ard_3-2-1_110083_2023-04-27_final
2023-05-01 10:55:03	ga_ls8c_ard_3-2-1_106075_2023-05-01_final
2023-05-24 09:21:23	ga_ls8c_ard_3-2-1_091073_2023-05-23_final
2023-07-01 10:26:17	ga_ls8c_ard_3-2-1_101080_2023-07-01_final
2023-07-07 09:51:40	ga_ls8c_ard_3-2-1_095086_2023-07-07_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