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

76 results

Time (local)	Label
2013-05-20 10:15:32	ga_ls8c_ard_3-0-0_099078_2013-05-20_final
2013-07-06 11:13:31	ga_ls8c_ard_3-0-0_108084_2013-07-06_final
2013-11-01 10:34:59	ga_ls8c_ard_3-0-0_102081_2013-11-01_final
2014-01-21 09:33:35	ga_ls8c_ard_3-0-0_093068_2014-01-21_final
2014-06-03 09:50:13	ga_ls8c_ard_3-0-0_096067_2014-06-03_final
2014-06-21 09:39:32	ga_ls8c_ard_3-0-0_094071_2014-06-21_final
2014-08-22 11:31:33	ga_ls8c_ard_3-0-0_112072_2014-08-22_final
2014-10-09 09:50:47	ga_ls8c_ard_3-0-0_096067_2014-10-09_final
2014-11-12 11:22:56	ga_ls8c_ard_3-0-0_110081_2014-11-12_final
2015-01-08 11:12:11	ga_ls8c_ard_3-0-0_109070_2015-01-08_final
2015-01-14 10:39:52	ga_ls8c_ard_3-0-0_103082_2015-01-14_final
2015-01-19 10:54:47	ga_ls8c_ard_3-0-0_106073_2015-01-19_final
2015-05-08 10:26:10	ga_ls8c_ard_3-0-0_101081_2015-05-08_final
2015-05-26 11:50:16	ga_ls8c_ard_3-0-0_115075_2015-05-26_final
2015-05-29 10:45:05	ga_ls8c_ard_3-0-0_104082_2015-05-29_final
2015-07-07 09:09:35	ga_ls8c_ard_3-0-0_089074_2015-07-06_final
2016-04-14 09:44:00	ga_ls8c_ard_3-0-0_095067_2016-04-14_final
2016-07-25 10:49:48	ga_ls8c_ard_3-0-0_105076_2016-07-25_final
2016-09-05 11:30:17	ga_ls8c_ard_3-0-0_111084_2016-09-05_final
2016-09-30 11:18:08	ga_ls8c_ard_3-0-0_110069_2016-09-30_final
2017-12-17 10:59:57	ga_ls8c_ard_3-0-0_107070_2017-12-17_final
2017-12-19 09:11:30	ga_ls8c_ard_3-0-0_089077_2017-12-18_final
2018-02-11 11:51:02	ga_ls8c_ard_3-0-0_115075_2018-02-11_final
2018-02-18 10:19:05	ga_ls8c_ard_3-0-0_100077_2018-02-18_final
2018-05-19 10:54:33	ga_ls8c_ard_3-0-0_106075_2018-05-19_final
2018-06-23 11:25:04	ga_ls8c_ard_3-0-0_111074_2018-06-23_final
2018-07-04 11:06:38	ga_ls8c_ard_3-0-0_108074_2018-07-04_final
2018-08-01 11:30:46	ga_ls8c_ard_3-0-0_112072_2018-08-01_final
2018-11-27 12:31:12	ga_ls8c_ard_3-2-1_122067_2018-11-27_final
2019-01-18 10:33:05	ga_ls8c_ard_3-0-0_102081_2019-01-18_final
2019-06-06 10:13:17	ga_ls8c_ard_3-0-0_099078_2019-06-06_final
2019-09-30 11:23:39	ga_ls8c_ard_3-1-0_111067_2019-09-30_final
2019-11-08 09:50:58	ga_ls8c_ard_3-1-0_096067_2019-11-08_final
2019-12-05 11:14:26	ga_ls8c_ard_3-1-0_109075_2019-12-05_final
2019-12-16 10:58:40	ga_ls8c_ard_3-2-0_106082_2019-12-16_final
2019-12-30 09:28:54	ga_ls8c_ard_3-1-0_092074_2019-12-29_final
2020-02-04 10:43:41	ga_ls8c_ard_3-1-0_104076_2020-02-04_final
2020-03-24 09:46:11	ga_ls8c_ard_3-1-0_095072_2020-03-24_final
2020-06-09 09:16:17	ga_ls8c_ard_3-1-0_090075_2020-06-08_final
2020-07-11 09:20:08	ga_ls8c_ard_3-1-0_090084_2020-07-10_final
2020-07-11 10:55:50	ga_ls8c_ard_3-1-0_106076_2020-07-11_final
2020-08-27 10:08:51	ga_ls8c_ard_3-2-1_099066_2020-08-27_final
2020-09-07 11:30:52	ga_ls8c_ard_3-1-0_112070_2020-09-07_final
2020-09-13 10:55:49	ga_ls8c_ard_3-1-0_106075_2020-09-13_final
2020-10-01 09:07:51	ga_ls8c_ard_3-1-0_088083_2020-09-30_final
2020-12-11 10:48:09	ga_ls8c_ard_3-1-0_105071_2020-12-11_final
2021-02-02 11:05:41	ga_ls8c_ard_3-2-0_108069_2021-02-02_final
2021-03-16 10:05:59	ga_ls8c_ard_3-2-0_098075_2021-03-16_final
2021-06-21 10:52:27	ga_ls8c_ard_3-2-0_105083_2021-06-21_final
2021-07-18 10:33:11	ga_ls8c_ard_3-2-0_102081_2021-07-18_final
2021-08-30 10:14:08	ga_ls8c_ard_3-2-0_099079_2021-08-30_final
2021-10-27 10:50:14	ga_ls8c_ard_3-2-0_105076_2021-10-27_final
2021-11-01 11:07:58	ga_ls8c_ard_3-2-0_108074_2021-11-01_final
2022-02-06 11:53:20	ga_ls8c_ard_3-2-1_115080_2022-02-06_final
2022-02-11 10:33:22	ga_ls8c_ard_3-2-1_102081_2022-02-11_final
2022-02-15 10:02:38	ga_ls8c_ard_3-2-1_098066_2022-02-15_final
2022-03-07 09:39:49	ga_ls8c_ard_3-2-1_094071_2022-03-07_final
2022-10-16 10:36:22	ga_ls8c_ard_3-2-1_103072_2022-10-16_final
2022-11-06 09:17:44	ga_ls8c_ard_3-2-1_090076_2022-11-05_final
2023-01-05 11:20:43	ga_ls8c_ard_3-2-1_110075_2023-01-05_final
2023-01-13 10:33:36	ga_ls8c_ard_3-2-1_102081_2023-01-13_final
2023-01-20 10:39:45	ga_ls8c_ard_3-2-1_103081_2023-01-20_final
2023-03-22 10:04:25	ga_ls8c_ard_3-2-1_098071_2023-03-22_final
2023-05-01 09:22:10	ga_ls8c_ard_3-2-1_090090_2023-04-30_final
2023-05-11 11:30:47	ga_ls8c_ard_3-2-1_112072_2023-05-11_final
2023-05-29 09:44:19	ga_ls8c_ard_3-2-1_094084_2023-05-29_final
2023-07-09 11:14:12	ga_ls8c_ard_3-2-1_109076_2023-07-09_final
2023-09-11 11:14:09	ga_ls8c_ard_3-2-1_109075_2023-09-11_final
2023-09-18 09:39:54	ga_ls8c_ard_3-2-1_094071_2023-09-18_final
2023-10-08 09:16:50	ga_ls8c_ard_3-2-1_090075_2023-10-07_final
2023-11-12 11:26:14	ga_ls8c_ard_3-2-1_111074_2023-11-12_final
2023-11-30 11:13:56	ga_ls8c_ard_3-2-1_109074_2023-11-30_final
2024-01-08 09:41:07	ga_ls8c_ard_3-2-1_094074_2024-01-08_final
2024-02-13 09:17:11	ga_ls8c_ard_3-2-1_090076_2024-02-12_final
2024-04-09 10:05:44	ga_ls8c_ard_3-2-1_098075_2024-04-09_nrt
2024-04-17 10:55:29	ga_ls8c_ard_3-2-1_106076_2024-04-17_nrt

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