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

58 results

Time (local)	Label
2013-06-12 10:22:54	ga_ls8c_ard_3-0-0_100081_2013-06-12_final
2013-10-06 11:35:45	ga_ls8c_ard_3-0-0_112078_2013-10-06_final
2013-11-10 10:26:49	ga_ls8c_ard_3-0-0_101076_2013-11-10_final
2013-12-10 10:41:02	ga_ls8c_ard_3-0-0_103081_2013-12-10_final
2014-01-13 10:26:17	ga_ls8c_ard_3-0-0_101076_2014-01-13_final
2014-02-08 11:05:55	ga_ls8c_ard_3-0-0_107083_2014-02-08_final
2014-04-17 10:39:45	ga_ls8c_ard_3-0-0_103082_2014-04-17_final
2014-06-21 09:45:08	ga_ls8c_ard_3-0-0_094085_2014-06-21_final
2014-08-21 10:49:29	ga_ls8c_ard_3-0-0_105075_2014-08-21_final
2014-08-25 10:25:33	ga_ls8c_ard_3-0-0_101077_2014-08-25_final
2014-10-24 09:10:20	ga_ls8c_ard_3-0-0_089074_2014-10-23_final
2014-11-24 10:09:55	ga_ls8c_ard_3-0-0_098084_2014-11-24_final
2015-01-20 09:57:33	ga_ls8c_ard_3-0-0_097069_2015-01-20_final
2015-03-01 09:15:53	ga_ls8c_ard_3-0-0_089089_2015-02-28_final
2015-07-12 11:10:16	ga_ls8c_ard_3-0-0_108082_2015-07-12_final
2015-08-06 09:26:53	ga_ls8c_ard_3-0-0_091086_2015-08-05_final
2015-08-07 11:46:39	ga_ls8c_ard_3-0-0_114080_2015-08-07_final
2015-08-20 11:17:28	ga_ls8c_ard_3-0-0_109084_2015-08-20_final
2015-10-18 09:19:55	ga_ls8c_ard_3-0-0_090083_2015-10-17_final
2015-10-19 10:01:12	ga_ls8c_ard_3-1-0_097078_2015-10-19_final
2015-11-12 09:14:37	ga_ls8c_ard_3-0-0_089085_2015-11-11_final
2015-12-15 11:29:36	ga_ls8c_ard_3-0-0_112067_2015-12-15_final
2016-02-18 10:39:20	ga_ls8c_ard_3-0-0_103081_2016-02-18_final
2016-06-30 10:53:25	ga_ls8c_ard_3-0-0_106070_2016-06-30_final
2016-08-03 10:43:15	ga_ls8c_ard_3-0-0_104075_2016-08-03_final
2016-09-21 09:47:26	ga_ls8c_ard_3-0-0_095074_2016-09-21_final
2017-02-01 10:09:23	ga_ls8c_ard_3-0-0_098083_2017-02-01_final
2017-09-19 09:34:24	ga_ls8c_ard_3-0-0_092088_2017-09-19_final
2018-04-01 09:17:21	ga_ls8c_ard_3-1-0_090078_2018-03-31_final
2018-04-12 10:39:11	ga_ls8c_ard_3-0-0_103082_2018-04-12_final
2018-05-19 09:16:28	ga_ls8c_ard_3-0-0_090077_2018-05-18_final
2018-11-24 10:27:48	ga_ls8c_ard_3-0-0_101083_2018-11-24_final
2019-01-22 11:45:38	ga_ls8c_ard_3-0-0_114077_2019-01-22_final
2019-03-06 11:29:44	ga_ls8c_ard_3-0-0_111084_2019-03-06_final
2019-11-11 10:25:51	ga_ls8c_ard_3-1-0_101077_2019-11-11_final
2019-12-07 09:27:59	ga_ls8c_ard_3-1-0_091087_2019-12-06_final
2020-06-08 10:08:18	ga_ls8c_ard_3-2-1_099066_2020-06-08_final
2020-09-22 09:16:23	ga_ls8c_ard_3-1-0_089089_2020-09-21_final
2021-01-04 09:58:14	ga_ls8c_ard_3-2-0_097070_2021-01-04_final
2021-04-27 10:42:01	ga_ls8c_ard_3-2-0_104073_2021-04-27_final
2021-07-14 09:17:00	ga_ls8c_ard_3-2-0_090076_2021-07-13_final
2021-07-21 09:27:38	ga_ls8c_ard_3-2-0_091087_2021-07-20_final
2021-09-05 11:13:58	ga_ls8c_ard_3-2-0_109074_2021-09-05_final
2021-11-13 09:52:09	ga_ls8c_ard_3-2-0_096070_2021-11-13_final
2022-02-26 09:47:14	ga_ls8c_ard_3-2-1_095074_2022-02-26_final
2022-04-06 11:32:02	ga_ls8c_ard_3-2-1_112074_2022-04-06_final
2022-05-30 09:22:15	ga_ls8c_ard_3-2-1_090089_2022-05-29_final
2022-07-12 10:34:29	ga_ls8c_ard_3-2-1_103068_2022-07-12_final
2022-07-23 10:19:13	ga_ls8c_ard_3-2-1_100076_2022-07-23_final
2022-07-29 11:23:53	ga_ls8c_ard_3-2-1_110083_2022-07-29_final
2022-08-26 10:03:53	ga_ls8c_ard_3-2-1_098068_2022-08-26_final
2022-09-20 10:01:48	ga_ls8c_ard_3-2-1_097078_2022-09-20_final
2023-02-20 09:51:58	ga_ls8c_ard_3-2-1_096070_2023-02-20_final
2023-04-02 11:29:26	ga_ls8c_ard_3-2-1_111083_2023-04-02_final
2023-05-13 11:19:12	ga_ls8c_ard_3-2-1_110074_2023-05-13_final
2023-10-11 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-10-11_final
2024-02-07 09:58:16	ga_ls8c_ard_3-2-1_096086_2024-02-07_final
2024-03-24 10:07:50	ga_ls8c_ard_3-2-1_098080_2024-03-24_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