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

96 results

Time (local)	Label
2013-06-12 10:22:54	ga_ls8c_ard_3-0-0_100081_2013-06-12_final
2013-08-07 09:35:28	ga_ls8c_ard_3-0-0_092086_2013-08-07_final
2013-09-25 10:15:24	ga_ls8c_ard_3-0-0_099078_2013-09-25_final
2013-10-11 10:17:48	ga_ls8c_ard_3-0-0_099084_2013-10-11_final
2013-12-30 10:15:20	ga_ls8c_ard_3-0-0_099079_2013-12-30_final
2014-03-04 10:14:05	ga_ls8c_ard_3-0-0_099078_2014-03-04_final
2014-05-24 10:52:17	ga_ls8c_ard_3-0-0_106068_2014-05-24_final
2014-06-13 10:32:57	ga_ls8c_ard_3-0-0_102081_2014-06-13_final
2014-06-17 10:03:04	ga_ls8c_ard_3-0-0_098068_2014-06-17_final
2014-07-16 09:34:19	ga_ls8c_ard_3-0-0_093073_2014-07-16_final
2014-08-08 09:40:15	ga_ls8c_ard_3-0-0_094072_2014-08-08_final
2014-10-27 09:44:24	ga_ls8c_ard_3-0-0_094082_2014-10-27_final
2015-02-03 10:09:04	ga_ls8c_ard_3-0-0_099067_2015-02-03_final
2015-03-14 10:18:54	ga_ls8c_ard_3-0-0_100077_2015-03-14_final
2015-03-15 11:04:33	ga_ls8c_ard_3-0-0_107083_2015-03-15_final
2015-03-18 11:31:51	ga_ls8c_ard_3-0-0_112074_2015-03-18_final
2015-04-28 09:45:41	ga_ls8c_ard_3-0-0_095072_2015-04-28_final
2015-09-26 11:32:16	ga_ls8c_ard_3-0-0_112074_2015-09-26_final
2015-09-28 09:45:49	ga_ls8c_ard_3-0-0_094086_2015-09-28_final
2015-11-18 10:10:27	ga_ls8c_ard_3-0-0_099070_2015-11-18_final
2015-12-13 11:45:57	ga_ls8c_ard_3-0-0_114077_2015-12-13_final
2016-03-13 11:24:20	ga_ls8c_ard_3-0-0_111070_2016-03-13_final
2016-05-07 11:31:51	ga_ls8c_ard_3-0-0_112074_2016-05-07_final
2016-05-16 09:46:22	ga_ls8c_ard_3-0-0_095073_2016-05-16_final
2016-08-05 10:28:06	ga_ls8c_ard_3-0-0_102068_2016-08-05_final
2016-08-13 11:19:09	ga_ls8c_ard_3-0-0_110072_2016-08-13_final
2016-08-29 09:39:59	ga_ls8c_ard_3-0-0_094071_2016-08-29_final
2016-09-09 09:27:29	ga_ls8c_ard_3-0-0_091086_2016-09-08_final
2016-10-22 10:40:47	ga_ls8c_ard_3-0-0_104068_2016-10-22_final
2017-01-02 11:29:41	ga_ls8c_ard_3-0-0_112067_2017-01-02_final
2017-03-09 09:40:01	ga_ls8c_ard_3-0-0_094072_2017-03-09_final
2017-04-18 10:28:18	ga_ls8c_ard_3-0-0_102070_2017-04-18_final
2017-07-04 10:03:20	ga_ls8c_ard_3-0-0_097084_2017-07-04_final
2017-10-08 10:00:38	ga_ls8c_ard_3-0-0_097076_2017-10-08_final
2017-10-13 10:22:23	ga_ls8c_ard_3-0-0_100084_2017-10-13_final
2017-11-16 10:09:59	ga_ls8c_ard_3-0-0_098084_2017-11-16_final
2017-12-28 09:06:31	ga_ls8c_ard_3-0-0_088080_2017-12-27_final
2018-01-19 10:03:22	ga_ls8c_ard_3-0-0_098068_2018-01-19_final
2018-03-05 09:36:30	ga_ls8c_ard_3-0-0_093079_2018-03-05_final
2018-04-01 09:16:09	ga_ls8c_ard_3-0-0_090075_2018-03-31_final
2018-04-16 10:13:13	ga_ls8c_ard_3-0-0_099079_2018-04-16_final
2018-05-09 10:17:59	ga_ls8c_ard_3-0-0_100076_2018-05-09_final
2018-10-28 09:04:14	ga_ls8c_ard_3-2-1_088075_2018-10-27_interim
2018-10-29 11:23:12	ga_ls8c_ard_3-0-0_111067_2018-10-29_final
2018-11-13 09:07:04	ga_ls8c_ard_3-0-0_088082_2018-11-12_final
2018-12-12 10:10:36	ga_ls8c_ard_3-0-0_099071_2018-12-12_final
2018-12-16 09:45:28	ga_ls8c_ard_3-0-0_095070_2018-12-16_final
2019-01-06 10:03:37	ga_ls8c_ard_3-0-0_098069_2019-01-06_final
2019-01-11 10:25:20	ga_ls8c_ard_3-0-0_101077_2019-01-11_final
2019-03-18 10:13:30	ga_ls8c_ard_3-1-0_099079_2019-03-18_final
2019-03-28 09:12:28	ga_ls8c_ard_3-1-0_089081_2019-03-27_final
2019-04-09 11:14:01	ga_ls8c_ard_3-1-0_109076_2019-04-09_final
2019-04-20 10:52:13	ga_ls8c_ard_3-0-0_106068_2019-04-20_final
2019-07-05 11:17:50	ga_ls8c_ard_3-1-0_110069_2019-07-05_final
2019-07-10 11:35:35	ga_ls8c_ard_3-1-0_113067_2019-07-10_final
2019-07-12 09:51:56	ga_ls8c_ard_3-1-0_095086_2019-07-12_final
2019-09-16 09:34:43	ga_ls8c_ard_3-1-0_093073_2019-09-16_final
2019-11-07 09:10:54	ga_ls8c_ard_3-1-0_089075_2019-11-06_final
2019-12-09 09:11:38	ga_ls8c_ard_3-1-0_089077_2019-12-08_final
2019-12-16 10:53:29	ga_ls8c_ard_3-2-0_106069_2019-12-16_final
2020-02-04 09:04:48	ga_ls8c_ard_3-2-1_088076_2020-02-03_interim
2020-05-04 09:37:40	ga_ls8c_ard_3-1-0_094067_2020-05-04_final
2020-05-30 10:19:34	ga_ls8c_ard_3-1-0_100079_2020-05-30_final
2020-06-21 11:19:36	ga_ls8c_ard_3-1-0_110074_2020-06-21_final
2020-09-07 11:31:40	ga_ls8c_ard_3-1-0_112072_2020-09-07_final
2020-10-09 11:29:48	ga_ls8c_ard_3-1-0_112067_2020-10-09_final
2020-10-19 10:33:36	ga_ls8c_ard_3-1-0_102081_2020-10-19_final
2020-11-20 10:33:34	ga_ls8c_ard_3-1-0_102081_2020-11-20_final
2021-01-29 11:36:24	ga_ls8c_ard_3-2-0_112084_2021-01-29_final
2021-03-01 09:11:42	ga_ls8c_ard_3-2-0_089078_2021-02-28_final
2021-03-13 11:13:12	ga_ls8c_ard_3-2-0_109073_2021-03-13_final
2021-06-15 11:29:31	ga_ls8c_ard_3-2-0_111083_2021-06-15_final
2021-08-11 09:40:21	ga_ls8c_ard_3-2-0_094072_2021-08-11_final
2021-09-12 11:18:11	ga_ls8c_ard_3-2-0_110069_2021-09-12_final
2021-12-10 09:34:24	ga_ls8c_ard_3-2-1_093072_2021-12-10_final
2021-12-11 10:17:40	ga_ls8c_ard_3-2-1_100072_2021-12-11_final
2021-12-24 11:24:47	ga_ls8c_ard_3-2-1_111070_2021-12-24_final
2021-12-30 09:14:46	ga_ls8c_ard_3-2-1_089085_2021-12-29_final
2022-01-22 12:31:27	ga_ls8c_ard_3-2-1_122067_2022-01-22_final
2022-04-01 11:14:15	ga_ls8c_ard_3-2-1_109076_2022-04-01_final
2022-07-20 11:29:58	ga_ls8c_ard_3-2-1_111083_2022-07-20_final
2022-08-12 09:57:53	ga_ls8c_ard_3-2-1_096084_2022-08-12_final
2022-08-14 09:40:44	ga_ls8c_ard_3-2-1_094072_2022-08-14_final
2022-09-30 10:36:29	ga_ls8c_ard_3-2-1_103072_2022-09-30_final
2022-11-09 09:46:37	ga_ls8c_ard_3-2-1_095071_2022-11-09_final
2022-12-09 10:04:06	ga_ls8c_ard_3-2-1_097084_2022-12-09_final
2022-12-14 10:17:24	ga_ls8c_ard_3-2-1_100071_2022-12-14_final
2023-01-12 11:24:27	ga_ls8c_ard_3-2-1_111069_2023-01-12_final
2023-03-29 11:50:37	ga_ls8c_ard_3-2-1_115074_2023-03-29_final
2023-04-24 09:11:14	ga_ls8c_ard_3-2-1_089078_2023-04-23_final
2023-06-15 10:24:56	ga_ls8c_ard_3-2-1_101077_2023-06-15_final
2023-08-12 09:27:32	ga_ls8c_ard_3-2-1_091087_2023-08-11_final
2023-09-29 09:22:36	ga_ls8c_ard_3-2-1_091074_2023-09-28_final
2023-12-29 09:06:30	ga_ls8c_ard_3-2-1_088080_2023-12-28_final
2024-01-27 10:11:07	ga_ls8c_ard_3-2-1_099072_2024-01-27_final
2024-02-27 09:29:28	ga_ls8c_ard_3-2-1_092076_2024-02-26_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