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

95 results

Time (local)	Label
2013-05-26 11:15:47	ga_ls8c_ard_3-0-0_109074_2013-05-26_final
2013-08-06 10:29:29	ga_ls8c_ard_3-0-0_101082_2013-08-06_final
2013-08-14 11:16:08	ga_ls8c_ard_3-1-0_109075_2013-08-14_final
2013-09-22 11:25:49	ga_ls8c_ard_3-0-0_110084_2013-09-22_final
2014-06-21 09:39:56	ga_ls8c_ard_3-0-0_094072_2014-06-21_final
2014-09-25 11:19:59	ga_ls8c_ard_3-0-0_110074_2014-09-25_final
2014-12-25 09:20:11	ga_ls8c_ard_3-0-0_091068_2014-12-24_final
2015-01-10 11:05:00	ga_ls8c_ard_3-0-0_107083_2015-01-10_final
2015-02-09 11:11:37	ga_ls8c_ard_3-0-0_109069_2015-02-09_final
2015-02-20 09:16:31	ga_ls8c_ard_3-0-0_090075_2015-02-19_final
2015-02-27 10:59:57	ga_ls8c_ard_3-0-0_107071_2015-02-27_final
2015-08-06 10:59:23	ga_ls8c_ard_3-0-0_107070_2015-08-06_final
2015-09-25 09:10:31	ga_ls8c_ard_3-0-0_089075_2015-09-24_final
2015-09-25 09:13:42	ga_ls8c_ard_3-0-0_089083_2015-09-24_final
2015-10-21 11:25:44	ga_ls8c_ard_3-0-0_111073_2015-10-21_final
2016-02-12 11:13:42	ga_ls8c_ard_3-0-0_109074_2016-02-12_final
2016-03-20 11:31:15	ga_ls8c_ard_3-0-0_112072_2016-03-20_final
2016-03-21 10:37:13	ga_ls8c_ard_3-0-0_103076_2016-03-21_final
2016-04-03 11:41:29	ga_ls8c_ard_3-0-0_114067_2016-04-03_final
2016-05-23 11:29:53	ga_ls8c_ard_3-0-0_112069_2016-05-23_final
2016-06-04 10:18:58	ga_ls8c_ard_3-0-0_100077_2016-06-04_final
2016-08-04 11:24:31	ga_ls8c_ard_3-0-0_111070_2016-08-04_final
2016-09-10 10:09:33	ga_ls8c_ard_3-0-0_098083_2016-09-10_final
2016-12-07 09:19:00	ga_ls8c_ard_3-0-0_090080_2016-12-06_final
2017-01-17 10:49:33	ga_ls8c_ard_3-0-0_105075_2017-01-17_final
2017-03-19 10:16:35	ga_ls8c_ard_3-0-0_100071_2017-03-19_final
2017-05-10 11:30:50	ga_ls8c_ard_3-0-0_112072_2017-05-10_final
2017-05-17 09:56:13	ga_ls8c_ard_3-0-0_097067_2017-05-17_final
2017-06-04 11:23:43	ga_ls8c_ard_3-0-0_111069_2017-06-04_final
2017-06-06 11:14:10	ga_ls8c_ard_3-0-0_109076_2017-06-06_final
2017-07-02 10:10:06	ga_ls8c_ard_3-0-0_099070_2017-07-02_final
2017-11-18 11:31:42	ga_ls8c_ard_3-0-0_112072_2017-11-18_final
2017-11-24 10:55:22	ga_ls8c_ard_3-0-0_106074_2017-11-24_final
2018-01-19 10:03:22	ga_ls8c_ard_3-0-0_098068_2018-01-19_final
2018-01-30 11:23:12	ga_ls8c_ard_3-0-0_111067_2018-01-30_final
2018-02-28 09:21:36	ga_ls8c_ard_3-0-0_090088_2018-02-27_final
2018-06-03 10:11:54	ga_ls8c_ard_3-0-0_099077_2018-06-03_final
2018-06-14 11:29:33	ga_ls8c_ard_3-0-0_112070_2018-06-14_final
2018-06-16 09:38:43	ga_ls8c_ard_3-0-0_094071_2018-06-16_final
2018-06-25 09:33:26	ga_ls8c_ard_3-0-0_093073_2018-06-25_final
2018-06-26 10:18:18	ga_ls8c_ard_3-0-0_100077_2018-06-26_final
2018-07-04 11:06:38	ga_ls8c_ard_3-0-0_108074_2018-07-04_final
2018-07-06 09:17:24	ga_ls8c_ard_3-0-0_090079_2018-07-05_final
2019-01-13 10:09:46	ga_ls8c_ard_3-0-0_099069_2019-01-13_final
2019-01-26 11:19:42	ga_ls8c_ard_3-0-0_110074_2019-01-26_final
2019-02-25 11:29:11	ga_ls8c_ard_3-0-0_112067_2019-02-25_final
2019-03-29 11:31:01	ga_ls8c_ard_3-1-0_112072_2019-03-29_final
2019-04-28 10:02:21	ga_ls8c_ard_3-0-0_098067_2019-04-28_final
2019-05-30 10:07:03	ga_ls8c_ard_3-0-0_098078_2019-05-30_final
2019-10-11 11:08:20	ga_ls8c_ard_3-1-0_108075_2019-10-11_final
2020-01-10 10:49:36	ga_ls8c_ard_3-1-0_105075_2020-01-10_final
2020-01-23 10:17:27	ga_ls8c_ard_3-1-0_100072_2020-01-23_final
2020-04-06 10:55:14	ga_ls8c_ard_3-1-0_106075_2020-04-06_final
2020-07-04 10:48:48	ga_ls8c_ard_3-1-0_105074_2020-07-04_final
2020-07-04 10:50:24	ga_ls8c_ard_3-1-0_105078_2020-07-04_final
2020-08-12 10:55:34	ga_ls8c_ard_3-1-0_106075_2020-08-12_final
2020-08-12 10:55:58	ga_ls8c_ard_3-1-0_106076_2020-08-12_final
2020-09-03 10:19:28	ga_ls8c_ard_3-1-0_100077_2020-09-03_final
2020-09-22 10:49:41	ga_ls8c_ard_3-1-0_105075_2020-09-22_final
2020-12-26 11:42:09	ga_ls8c_ard_3-2-0_114067_2020-12-26_final
2021-01-02 10:10:12	ga_ls8c_ard_3-2-0_099069_2021-01-02_final
2021-01-08 11:13:57	ga_ls8c_ard_3-2-0_109074_2021-01-08_final
2021-02-11 11:03:03	ga_ls8c_ard_3-2-0_107078_2021-02-11_final
2021-03-07 11:51:08	ga_ls8c_ard_3-2-0_115075_2021-03-07_final
2021-03-28 10:33:03	ga_ls8c_ard_3-2-0_102081_2021-03-28_final
2021-05-23 11:19:58	ga_ls8c_ard_3-2-0_110075_2021-05-23_final
2021-05-26 10:13:13	ga_ls8c_ard_3-2-0_099078_2021-05-26_final
2021-10-11 09:14:31	ga_ls8c_ard_3-2-0_089084_2021-10-10_final
2021-10-24 10:17:44	ga_ls8c_ard_3-2-0_100072_2021-10-24_final
2021-12-03 11:07:54	ga_ls8c_ard_3-2-0_108074_2021-12-03_final
2022-01-06 10:54:14	ga_ls8c_ard_3-2-1_106071_2022-01-06_final
2022-01-21 10:09:19	ga_ls8c_ard_3-2-1_099067_2022-01-21_final
2022-02-02 10:35:59	ga_ls8c_ard_3-2-1_103072_2022-02-02_final
2022-02-18 10:39:29	ga_ls8c_ard_3-2-1_103081_2022-02-18_final
2022-03-27 10:52:58	ga_ls8c_ard_3-2-1_106069_2022-03-27_final
2022-04-22 09:52:00	ga_ls8c_ard_3-2-1_096071_2022-04-22_final
2022-07-22 09:34:21	ga_ls8c_ard_3-2-1_093072_2022-07-22_final
2022-07-28 10:39:49	ga_ls8c_ard_3-2-1_103081_2022-07-28_final
2022-08-21 11:24:38	ga_ls8c_ard_3-2-1_111069_2022-08-21_final
2022-09-26 11:02:25	ga_ls8c_ard_3-2-1_107075_2022-09-26_final
2022-11-16 09:58:18	ga_ls8c_ard_3-2-1_096085_2022-11-16_final
2022-12-04 11:18:28	ga_ls8c_ard_3-2-1_110069_2022-12-04_final
2023-02-04 09:57:45	ga_ls8c_ard_3-2-1_096084_2023-02-04_final
2023-05-17 10:51:39	ga_ls8c_ard_3-2-1_106067_2023-05-17_final
2023-07-13 10:51:54	ga_ls8c_ard_3-2-1_105082_2023-07-13_final
2023-10-08 09:16:50	ga_ls8c_ard_3-2-1_090075_2023-10-07_final
2023-10-20 09:39:58	ga_ls8c_ard_3-2-1_094071_2023-10-20_final
2023-11-02 10:50:01	ga_ls8c_ard_3-2-1_105076_2023-11-02_final
2023-11-21 09:41:16	ga_ls8c_ard_3-2-1_094074_2023-11-21_final
2023-12-15 10:33:27	ga_ls8c_ard_3-2-1_102081_2023-12-15_final
2024-01-27 10:11:07	ga_ls8c_ard_3-2-1_099072_2024-01-27_final
2024-02-04 09:22:58	ga_ls8c_ard_3-2-1_091075_2024-02-03_final
2024-02-09 09:40:20	ga_ls8c_ard_3-2-1_094072_2024-02-09_final
2024-03-17 09:56:35	ga_ls8c_ard_3-2-1_097067_2024-03-17_final
2024-03-24 10:02:38	ga_ls8c_ard_3-2-1_098067_2024-03-24_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