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

82 results

Time (local)	Label
2013-06-30 11:43:48	ga_ls8c_ard_3-0-0_114067_2013-06-30_final
2013-08-01 10:11:44	ga_ls8c_ard_3-0-0_098084_2013-08-01_final
2013-08-29 10:31:19	ga_ls8c_ard_3-0-0_102071_2013-08-29_final
2013-10-27 11:54:08	ga_ls8c_ard_3-0-0_115078_2013-10-27_final
2014-01-31 11:53:05	ga_ls8c_ard_3-0-0_115077_2014-01-31_final
2014-06-26 11:42:09	ga_ls8c_ard_3-0-0_113084_2014-06-26_final
2014-07-28 11:35:34	ga_ls8c_ard_3-0-0_113067_2014-07-28_final
2014-08-05 09:11:19	ga_ls8c_ard_3-0-0_089077_2014-08-04_final
2014-08-17 09:40:06	ga_ls8c_ard_3-0-0_093087_2014-08-17_final
2014-11-12 11:24:08	ga_ls8c_ard_3-0-0_110084_2014-11-12_final
2014-11-16 09:22:54	ga_ls8c_ard_3-0-0_090090_2014-11-15_final
2015-03-23 10:08:41	ga_ls8c_ard_3-0-0_099067_2015-03-23_final
2015-05-19 10:01:59	ga_ls8c_ard_3-0-0_098067_2015-05-19_final
2015-07-17 11:24:03	ga_ls8c_ard_3-0-0_111070_2015-07-17_final
2015-07-21 09:28:27	ga_ls8c_ard_3-0-0_091090_2015-07-20_final
2015-08-12 10:27:09	ga_ls8c_ard_3-0-0_101082_2015-08-12_final
2015-11-17 11:08:04	ga_ls8c_ard_3-0-0_108075_2015-11-17_final
2016-03-29 09:45:17	ga_ls8c_ard_3-0-0_095070_2016-03-29_final
2016-05-23 11:29:05	ga_ls8c_ard_3-0-0_112067_2016-05-23_final
2016-05-30 11:38:06	ga_ls8c_ard_3-0-0_113074_2016-05-30_final
2016-09-13 10:39:40	ga_ls8c_ard_3-0-0_103081_2016-09-13_final
2017-01-30 10:19:22	ga_ls8c_ard_3-0-0_100077_2017-01-30_final
2017-04-14 09:16:58	ga_ls8c_ard_3-0-0_090077_2017-04-13_final
2017-05-29 10:25:27	ga_ls8c_ard_3-0-0_101078_2017-05-29_final
2017-07-02 10:10:06	ga_ls8c_ard_3-0-0_099070_2017-07-02_final
2017-08-02 11:08:19	ga_ls8c_ard_3-0-0_108076_2017-08-02_final
2017-10-20 10:26:11	ga_ls8c_ard_3-0-0_101078_2017-10-20_final
2017-11-17 10:48:27	ga_ls8c_ard_3-0-0_105072_2017-11-17_final
2017-12-16 10:18:17	ga_ls8c_ard_3-0-0_100074_2017-12-16_final
2018-03-15 10:08:42	ga_ls8c_ard_3-0-0_099067_2018-03-15_final
2018-04-17 10:54:53	ga_ls8c_ard_3-0-0_106075_2018-04-17_final
2018-05-09 10:20:47	ga_ls8c_ard_3-0-0_100083_2018-05-09_final
2018-06-28 10:08:46	ga_ls8c_ard_3-0-0_098084_2018-06-28_final
2018-07-17 10:39:01	ga_ls8c_ard_3-0-0_103082_2018-07-17_final
2018-07-21 11:50:25	ga_ls8c_ard_3-0-0_115075_2018-07-21_final
2018-08-17 09:57:37	ga_ls8c_ard_3-0-0_096086_2018-08-17_final
2018-08-23 10:55:05	ga_ls8c_ard_3-0-0_106075_2018-08-23_final
2019-04-06 09:05:51	ga_ls8c_ard_3-1-0_088080_2019-04-05_final
2019-06-01 09:56:42	ga_ls8c_ard_3-0-0_096083_2019-06-01_final
2019-06-14 11:03:59	ga_ls8c_ard_3-1-0_107081_2019-06-14_final
2019-06-17 11:30:30	ga_ls8c_ard_3-1-0_112070_2019-06-17_final
2019-08-02 10:10:11	ga_ls8c_ard_3-1-0_098085_2019-08-02_final
2019-08-22 11:19:16	ga_ls8c_ard_3-1-0_110072_2019-08-22_final
2019-12-15 10:13:49	ga_ls8c_ard_3-2-0_099078_2019-12-15_final
2020-01-13 09:38:25	ga_ls8c_ard_3-1-0_094067_2020-01-13_final
2020-02-18 09:22:42	ga_ls8c_ard_3-1-0_090090_2020-02-17_final
2020-02-27 09:10:30	ga_ls8c_ard_3-1-0_089075_2020-02-26_final
2020-03-24 11:24:16	ga_ls8c_ard_3-1-0_111070_2020-03-24_final
2020-06-26 09:56:55	ga_ls8c_ard_3-1-0_097068_2020-06-26_final
2020-07-05 11:31:17	ga_ls8c_ard_3-1-0_112072_2020-07-05_final
2020-07-24 10:25:24	ga_ls8c_ard_3-1-0_101077_2020-07-24_final
2020-07-26 11:51:08	ga_ls8c_ard_3-1-0_115075_2020-07-26_final
2020-08-14 09:06:44	ga_ls8c_ard_3-1-0_088081_2020-08-13_final
2020-09-28 10:14:37	ga_ls8c_ard_3-1-0_099080_2020-09-28_final
2020-10-22 09:22:25	ga_ls8c_ard_3-1-0_091073_2020-10-21_final
2020-10-22 09:24:25	ga_ls8c_ard_3-1-0_091078_2020-10-21_final
2020-10-31 09:23:00	ga_ls8c_ard_3-1-0_090090_2020-10-30_final
2021-03-24 10:53:48	ga_ls8c_ard_3-2-0_106071_2021-03-24_final
2021-05-08 10:22:35	ga_ls8c_ard_3-2-0_101071_2021-05-08_final
2021-05-14 11:25:39	ga_ls8c_ard_3-2-0_111074_2021-05-14_final
2021-07-10 11:23:00	ga_ls8c_ard_3-2-0_110082_2021-07-10_final
2021-08-25 09:57:34	ga_ls8c_ard_3-2-0_096084_2021-08-25_final
2021-09-14 11:08:13	ga_ls8c_ard_3-2-0_108075_2021-09-14_final
2022-01-13 11:00:24	ga_ls8c_ard_3-2-1_107071_2022-01-13_final
2022-02-01 09:57:07	ga_ls8c_ard_3-2-1_096083_2022-02-01_final
2022-05-05 11:04:48	ga_ls8c_ard_3-2-1_107083_2022-05-05_final
2022-05-26 11:20:14	ga_ls8c_ard_3-2-1_110075_2022-05-26_final
2022-06-04 09:39:16	ga_ls8c_ard_3-2-1_093085_2022-06-04_final
2022-08-23 11:18:15	ga_ls8c_ard_3-2-1_109084_2022-08-23_final
2022-12-07 10:10:05	ga_ls8c_ard_3-2-1_099068_2022-12-07_final
2023-01-31 10:19:41	ga_ls8c_ard_3-2-1_100077_2023-01-31_final
2023-02-04 09:58:09	ga_ls8c_ard_3-2-1_096085_2023-02-04_final
2023-02-27 10:01:37	ga_ls8c_ard_3-2-1_097079_2023-02-27_final
2023-03-17 11:24:02	ga_ls8c_ard_3-2-1_111069_2023-03-17_final
2023-03-24 09:58:00	ga_ls8c_ard_3-2-1_096086_2023-03-24_final
2023-04-08 10:45:51	ga_ls8c_ard_3-2-1_105067_2023-04-08_final
2023-04-30 11:51:29	ga_ls8c_ard_3-2-1_115077_2023-04-30_final
2023-06-09 11:03:34	ga_ls8c_ard_3-2-1_107081_2023-06-09_final
2023-08-31 11:31:28	ga_ls8c_ard_3-2-1_112072_2023-08-31_final
2023-10-23 10:11:18	ga_ls8c_ard_3-2-1_099072_2023-10-23_final
2024-01-27 10:08:44	ga_ls8c_ard_3-2-1_099066_2024-01-27_final
2024-04-07 10:16:55	ga_ls8c_ard_3-2-1_100072_2024-04-07_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