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
2013-09-04 09:52:38	ga_ls8c_ard_3-0-0_096067_2013-09-04_final
2013-09-24 09:36:09	ga_ls8c_ard_3-0-0_092088_2013-09-24_final
2013-10-11 10:17:48	ga_ls8c_ard_3-0-0_099084_2013-10-11_final
2014-05-06 11:06:46	ga_ls8c_ard_3-0-0_108073_2014-05-06_final
2014-06-14 09:34:33	ga_ls8c_ard_3-0-0_093074_2014-06-14_final
2014-06-16 09:28:11	ga_ls8c_ard_3-0-0_091089_2014-06-15_final
2014-06-22 10:27:11	ga_ls8c_ard_3-0-0_101082_2014-06-22_final
2014-11-10 11:30:06	ga_ls8c_ard_3-0-0_112068_2014-11-10_final
2015-02-24 10:30:16	ga_ls8c_ard_3-0-0_102074_2015-02-24_final
2015-02-28 10:09:07	ga_ls8c_ard_3-0-0_098083_2015-02-28_final
2015-03-06 09:28:23	ga_ls8c_ard_3-0-0_092074_2015-03-05_final
2015-04-05 11:17:17	ga_ls8c_ard_3-0-0_110069_2015-04-05_final
2015-07-16 09:07:05	ga_ls8c_ard_3-0-0_088083_2015-07-15_final
2016-01-09 09:45:40	ga_ls8c_ard_3-0-0_095070_2016-01-09_final
2016-05-16 09:43:58	ga_ls8c_ard_3-0-0_095067_2016-05-16_final
2016-09-07 11:14:20	ga_ls8c_ard_3-0-0_109075_2016-09-07_final
2017-02-19 09:50:30	ga_ls8c_ard_3-0-0_096067_2017-02-19_final
2017-05-05 11:12:14	ga_ls8c_ard_3-0-0_109072_2017-05-05_final
2017-06-08 09:28:31	ga_ls8c_ard_3-0-0_091090_2017-06-07_final
2017-12-20 09:50:47	ga_ls8c_ard_3-0-0_096067_2017-12-20_final
2018-01-05 09:50:43	ga_ls8c_ard_3-0-0_096067_2018-01-05_final
2018-01-17 11:57:25	ga_ls8c_ard_3-0-0_116075_2018-01-17_final
2018-05-14 10:38:28	ga_ls8c_ard_3-0-0_103081_2018-05-14_final
2018-05-19 10:54:33	ga_ls8c_ard_3-0-0_106075_2018-05-19_final
2018-05-24 09:30:57	ga_ls8c_ard_3-0-0_093067_2018-05-24_final
2018-06-25 09:39:26	ga_ls8c_ard_3-0-0_093088_2018-06-25_final
2018-08-31 11:45:46	ga_ls8c_ard_3-0-0_114078_2018-08-31_final
2019-05-18 09:37:50	ga_ls8c_ard_3-0-0_094067_2019-05-18_final
2019-07-24 10:16:18	ga_ls8c_ard_3-1-0_099085_2019-07-24_final
2019-08-03 10:49:52	ga_ls8c_ard_3-1-0_105076_2019-08-03_final
2019-10-23 09:50:59	ga_ls8c_ard_3-1-0_096067_2019-10-23_final
2020-02-11 09:10:34	ga_ls8c_ard_3-1-0_089075_2020-02-10_final
2020-07-02 09:27:27	ga_ls8c_ard_3-1-0_091087_2020-07-01_final
2020-12-12 11:32:37	ga_ls8c_ard_3-1-0_112074_2020-12-12_final
2020-12-23 09:34:22	ga_ls8c_ard_3-2-0_093072_2020-12-23_final
2021-05-05 11:35:21	ga_ls8c_ard_3-2-0_112083_2021-05-05_final
2021-07-11 10:26:59	ga_ls8c_ard_3-2-0_101081_2021-07-11_final
2021-07-20 11:57:20	ga_ls8c_ard_3-2-0_116075_2021-07-20_final
2021-07-30 10:55:37	ga_ls8c_ard_3-2-0_106075_2021-07-30_final
2021-09-22 11:58:05	ga_ls8c_ard_3-2-0_116076_2021-09-22_final
2021-10-25 09:25:18	ga_ls8c_ard_3-2-0_091080_2021-10-24_final
2021-11-10 09:23:40	ga_ls8c_ard_3-2-0_091076_2021-11-09_final
2021-11-19 09:17:50	ga_ls8c_ard_3-2-0_090077_2021-11-18_final
2021-12-12 09:24:50	ga_ls8c_ard_3-2-1_091079_2021-12-11_final
2023-02-26 10:53:15	ga_ls8c_ard_3-2-1_106069_2023-02-26_final
2023-05-04 09:51:26	ga_ls8c_ard_3-2-1_095086_2023-05-04_final
2024-01-20 10:07:02	ga_ls8c_ard_3-2-1_098077_2024-01-20_final
2024-04-20 11:23:33	ga_ls8c_ard_3-2-1_111069_2024-04-20_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years