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

42 results

Time (local)	Label
2013-05-22 09:59:12	ga_ls8c_ard_3-0-0_097068_2013-05-22_final
2013-06-05 10:15:10	ga_ls8c_ard_3-0-0_099077_2013-06-05_final
2014-06-27 10:45:44	ga_ls8c_ard_3-0-0_104082_2014-06-27_final
2014-11-28 11:24:05	ga_ls8c_ard_3-0-0_110084_2014-11-28_final
2015-03-10 09:07:11	ga_ls8c_ard_3-0-0_088083_2015-03-09_final
2015-08-27 09:40:49	ga_ls8c_ard_3-0-0_094074_2015-08-27_final
2015-08-27 11:17:42	ga_ls8c_ard_3-0-0_110069_2015-08-27_final
2016-08-15 09:29:07	ga_ls8c_ard_3-0-0_092075_2016-08-14_final
2016-09-08 10:19:55	ga_ls8c_ard_3-0-0_100078_2016-09-08_final
2016-12-07 10:52:42	ga_ls8c_ard_3-0-0_106067_2016-12-07_final
2016-12-16 09:16:22	ga_ls8c_ard_3-0-0_089089_2016-12-15_final
2016-12-31 10:07:34	ga_ls8c_ard_3-0-0_098078_2016-12-31_final
2017-02-03 11:29:30	ga_ls8c_ard_3-0-0_112067_2017-02-03_final
2017-02-08 10:13:30	ga_ls8c_ard_3-0-0_099078_2017-02-08_final
2017-03-20 09:23:21	ga_ls8c_ard_3-0-0_091077_2017-03-19_final
2017-07-26 09:28:47	ga_ls8c_ard_3-0-0_091090_2017-07-25_final
2017-12-13 09:45:46	ga_ls8c_ard_3-0-0_095070_2017-12-13_final
2018-03-10 11:29:53	ga_ls8c_ard_3-0-0_112069_2018-03-10_final
2018-07-16 09:49:46	ga_ls8c_ard_3-0-0_096067_2018-07-16_final
2018-07-23 11:41:15	ga_ls8c_ard_3-0-0_113083_2018-07-23_final
2018-09-12 10:32:52	ga_ls8c_ard_3-0-0_102081_2018-09-12_final
2019-01-07 09:13:10	ga_ls8c_ard_3-0-0_089082_2019-01-06_final
2019-04-03 10:09:52	ga_ls8c_ard_3-1-0_099070_2019-04-03_final
2019-08-06 09:46:18	ga_ls8c_ard_3-1-0_094087_2019-08-06_final
2019-08-19 09:10:16	ga_ls8c_ard_3-1-0_089074_2019-08-18_final
2019-10-03 10:20:04	ga_ls8c_ard_3-1-0_100078_2019-10-03_final
2020-04-04 09:33:55	ga_ls8c_ard_3-1-0_092088_2020-04-04_final
2020-09-12 10:13:21	ga_ls8c_ard_3-1-0_099077_2020-09-12_final
2020-09-20 11:05:14	ga_ls8c_ard_3-1-0_107083_2020-09-20_final
2021-01-02 10:10:12	ga_ls8c_ard_3-2-0_099069_2021-01-02_final
2021-01-21 09:06:29	ga_ls8c_ard_3-2-0_088080_2021-01-20_final
2021-01-25 10:21:50	ga_ls8c_ard_3-2-0_100083_2021-01-25_final
2021-03-18 11:31:17	ga_ls8c_ard_3-2-0_112072_2021-03-18_final
2021-11-27 10:04:54	ga_ls8c_ard_3-2-0_098071_2021-11-27_final
2022-01-05 10:10:34	ga_ls8c_ard_3-2-1_099070_2022-01-05_final
2022-01-21 10:09:19	ga_ls8c_ard_3-2-1_099067_2022-01-21_final
2022-03-10 10:13:30	ga_ls8c_ard_3-2-1_099078_2022-03-10_final
2022-05-16 09:07:04	ga_ls8c_ard_3-2-1_088082_2022-05-15_final
2022-11-25 11:25:50	ga_ls8c_ard_3-2-1_111072_2022-11-25_final
2023-07-03 10:13:57	ga_ls8c_ard_3-2-1_099080_2023-07-03_final
2023-10-24 10:52:35	ga_ls8c_ard_3-2-1_106067_2023-10-24_final
2024-04-07 10:19:18	ga_ls8c_ard_3-2-1_100078_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years