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

56 results

Time (local)	Label
2013-04-18 10:11:20	ga_ls8c_ard_3-0-0_099068_2013-04-18_final
2013-09-28 10:42:18	ga_ls8c_ard_3-0-0_104068_2013-09-28_final
2014-03-15 11:32:46	ga_ls8c_ard_3-0-0_112074_2014-03-15_final
2014-05-11 09:50:23	ga_ls8c_ard_3-0-0_095083_2014-05-11_final
2014-05-22 11:07:50	ga_ls8c_ard_3-0-0_108076_2014-05-22_final
2014-10-22 09:20:19	ga_ls8c_ard_3-0-0_091068_2014-10-21_final
2014-12-17 11:52:31	ga_ls8c_ard_3-0-0_115078_2014-12-17_final
2014-12-30 11:20:45	ga_ls8c_ard_3-0-0_110076_2014-12-30_final
2015-05-31 10:27:58	ga_ls8c_ard_3-0-0_102070_2015-05-31_final
2015-10-05 11:29:42	ga_ls8c_ard_3-0-0_111083_2015-10-05_final
2015-10-25 09:21:46	ga_ls8c_ard_3-0-0_091072_2015-10-24_final
2015-11-02 10:10:26	ga_ls8c_ard_3-0-0_099070_2015-11-02_final
2016-01-04 11:08:02	ga_ls8c_ard_3-0-0_108075_2016-01-04_final
2016-04-21 09:52:07	ga_ls8c_ard_3-0-0_096072_2016-04-21_final
2016-08-07 10:16:56	ga_ls8c_ard_3-0-0_100071_2016-08-07_final
2017-03-04 11:04:47	ga_ls8c_ard_3-0-0_107083_2017-03-04_final
2017-05-09 10:48:45	ga_ls8c_ard_3-0-0_105075_2017-05-09_final
2017-05-12 11:22:05	ga_ls8c_ard_3-0-0_110081_2017-05-12_final
2017-06-01 09:17:06	ga_ls8c_ard_3-1-0_090077_2017-05-31_final
2017-07-07 10:30:15	ga_ls8c_ard_3-0-0_102074_2017-07-07_final
2017-08-19 11:51:16	ga_ls8c_ard_3-0-0_115075_2017-08-19_final
2018-01-28 11:38:22	ga_ls8c_ard_3-0-0_113074_2018-01-28_final
2018-06-03 10:08:43	ga_ls8c_ard_3-0-0_099069_2018-06-03_final
2018-06-30 11:30:31	ga_ls8c_ard_3-0-0_112072_2018-06-30_final
2018-07-20 11:07:33	ga_ls8c_ard_3-0-0_108076_2018-07-20_final
2018-08-06 10:09:16	ga_ls8c_ard_3-0-0_099069_2018-08-06_final
2018-11-07 11:17:02	ga_ls8c_ard_3-0-0_110067_2018-11-07_final
2018-12-31 09:06:36	ga_ls8c_ard_3-1-0_088081_2018-12-30_final
2019-04-02 11:05:53	ga_ls8c_ard_3-1-0_108071_2019-04-02_final
2019-07-16 11:04:54	ga_ls8c_ard_3-1-0_107083_2019-07-16_final
2019-07-23 11:07:56	ga_ls8c_ard_3-1-0_108075_2019-07-23_final
2019-10-28 10:11:31	ga_ls8c_ard_3-1-0_099072_2019-10-28_final
2019-10-31 10:44:25	ga_ls8c_ard_3-1-0_104077_2019-10-31_final
2019-12-28 09:41:16	ga_ls8c_ard_3-1-0_094074_2019-12-28_final
2020-01-05 10:29:04	ga_ls8c_ard_3-1-0_102070_2020-01-05_final
2021-03-05 10:25:26	ga_ls8c_ard_3-2-0_101077_2021-03-05_final
2021-04-16 11:04:38	ga_ls8c_ard_3-2-0_107083_2021-04-16_final
2021-05-14 09:45:11	ga_ls8c_ard_3-2-0_095070_2021-05-14_final
2021-07-10 11:22:36	ga_ls8c_ard_3-2-0_110081_2021-07-10_final
2021-08-17 10:42:35	ga_ls8c_ard_3-2-0_104073_2021-08-17_final
2021-11-09 10:22:29	ga_ls8c_ard_3-2-0_100084_2021-11-09_final
2021-12-28 09:26:44	ga_ls8c_ard_3-2-1_091084_2021-12-27_final
2022-01-10 10:33:30	ga_ls8c_ard_3-2-1_102081_2022-01-10_final
2022-01-13 09:22:19	ga_ls8c_ard_3-2-1_091073_2022-01-12_final
2022-02-20 10:25:54	ga_ls8c_ard_3-2-1_101078_2022-02-20_final
2022-03-10 10:08:43	ga_ls8c_ard_3-2-1_099066_2022-03-10_final
2022-03-15 10:30:00	ga_ls8c_ard_3-2-1_102073_2022-03-15_final
2022-09-20 11:38:18	ga_ls8c_ard_3-2-1_113072_2022-09-20_final
2022-10-14 09:12:36	ga_ls8c_ard_3-2-1_089079_2022-10-13_final
2023-05-31 11:10:03	ga_ls8c_ard_3-2-1_108082_2023-05-31_final
2023-11-02 10:49:13	ga_ls8c_ard_3-2-1_105074_2023-11-02_final
2023-11-09 10:52:55	ga_ls8c_ard_3-2-1_106068_2023-11-09_final
2023-11-12 11:24:39	ga_ls8c_ard_3-2-1_111070_2023-11-12_final
2023-11-22 10:23:20	ga_ls8c_ard_3-2-1_101071_2023-11-22_final
2024-01-17 11:12:39	ga_ls8c_ard_3-2-1_109071_2024-01-17_final
2024-02-21 10:05:24	ga_ls8c_ard_3-2-1_098073_2024-02-21_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