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

48 results

Time (local)	Label
2013-11-09 09:47:57	ga_ls8c_ard_3-0-0_094087_2013-11-09_final
2013-12-12 10:24:40	ga_ls8c_ard_3-0-0_101071_2013-12-12_final
2013-12-30 10:11:20	ga_ls8c_ard_3-0-0_099069_2013-12-30_final
2014-01-31 10:14:59	ga_ls8c_ard_3-0-0_099079_2014-01-31_final
2014-08-12 10:58:50	ga_ls8c_ard_3-0-0_106083_2014-08-12_final
2014-09-23 11:32:21	ga_ls8c_ard_3-0-0_112074_2014-09-23_final
2014-10-11 09:46:25	ga_ls8c_ard_3-0-0_094087_2014-10-11_final
2015-05-26 11:50:16	ga_ls8c_ard_3-0-0_115075_2015-05-26_final
2015-09-09 09:10:24	ga_ls8c_ard_3-0-0_089075_2015-09-08_final
2016-01-21 10:11:13	ga_ls8c_ard_3-0-0_099072_2016-01-21_final
2016-01-22 09:20:23	ga_ls8c_ard_3-0-0_090084_2016-01-21_final
2016-02-24 09:57:52	ga_ls8c_ard_3-1-0_097070_2016-02-24_final
2016-06-08 11:29:57	ga_ls8c_ard_3-0-0_112069_2016-06-08_final
2017-02-24 10:09:01	ga_ls8c_ard_3-0-0_099067_2017-02-24_final
2017-04-17 11:23:56	ga_ls8c_ard_3-0-0_111070_2017-04-17_final
2017-06-20 11:23:49	ga_ls8c_ard_3-0-0_111069_2017-06-20_final
2017-11-20 09:41:38	ga_ls8c_ard_3-0-0_094075_2017-11-20_final
2018-01-05 11:32:00	ga_ls8c_ard_3-0-0_112073_2018-01-05_final
2018-01-26 10:09:29	ga_ls8c_ard_3-0-0_099068_2018-01-26_final
2018-02-24 09:37:58	ga_ls8c_ard_3-0-0_094067_2018-02-24_final
2018-04-15 11:07:16	ga_ls8c_ard_3-0-0_108075_2018-04-15_final
2018-04-15 11:10:51	ga_ls8c_ard_3-0-0_108084_2018-04-15_final
2018-06-29 09:09:09	ga_ls8c_ard_3-0-0_089074_2018-06-28_final
2018-08-31 11:46:58	ga_ls8c_ard_3-0-0_114081_2018-08-31_final
2018-10-07 10:27:40	ga_ls8c_ard_3-0-0_101083_2018-10-07_final
2019-02-20 11:13:27	ga_ls8c_ard_3-0-0_109074_2019-02-20_final
2019-06-03 11:19:39	ga_ls8c_ard_3-0-0_110074_2019-06-03_final
2019-10-29 09:21:53	ga_ls8c_ard_3-1-0_090087_2019-10-28_final
2020-01-17 09:20:04	ga_ls8c_ard_3-1-0_090083_2020-01-16_final
2020-02-03 11:37:43	ga_ls8c_ard_3-1-0_113072_2020-02-03_final
2020-03-08 09:52:18	ga_ls8c_ard_3-1-0_095087_2020-03-08_final
2020-04-17 10:39:25	ga_ls8c_ard_3-1-0_103082_2020-04-17_final
2020-07-29 09:06:16	ga_ls8c_ard_3-1-0_088080_2020-07-28_final
2021-04-08 10:09:16	ga_ls8c_ard_3-2-0_099068_2021-04-08_final
2021-04-28 11:23:40	ga_ls8c_ard_3-2-0_111069_2021-04-28_final
2021-06-01 09:39:22	ga_ls8c_ard_3-2-0_093086_2021-06-01_final
2021-07-17 11:24:01	ga_ls8c_ard_3-2-0_111069_2021-07-17_final
2021-07-26 09:39:50	ga_ls8c_ard_3-2-0_094071_2021-07-26_final
2021-09-05 11:13:58	ga_ls8c_ard_3-2-0_109074_2021-09-05_final
2022-01-18 11:20:07	ga_ls8c_ard_3-2-1_110074_2022-01-18_final
2022-01-21 10:09:19	ga_ls8c_ard_3-2-1_099067_2022-01-21_final
2022-04-02 11:58:19	ga_ls8c_ard_3-2-1_116078_2022-04-02_final
2022-12-11 09:46:56	ga_ls8c_ard_3-2-1_095072_2022-12-11_final
2023-03-19 09:34:21	ga_ls8c_ard_3-2-1_093073_2023-03-19_final
2023-06-14 09:39:41	ga_ls8c_ard_3-2-1_094072_2023-06-14_final
2023-06-26 10:02:29	ga_ls8c_ard_3-2-1_098067_2023-06-26_final
2023-06-30 09:39:25	ga_ls8c_ard_3-2-1_094071_2023-06-30_final
2023-08-28 09:27:40	ga_ls8c_ard_3-2-1_091087_2023-08-27_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