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
2013-08-08 10:15:32	ga_ls8c_ard_3-0-0_099078_2013-08-08_final
2014-08-21 09:14:11	ga_ls8c_ard_3-0-0_089084_2014-08-20_final
2015-01-05 10:46:04	ga_ls8c_ard_3-0-0_104082_2015-01-05_final
2015-05-05 11:35:25	ga_ls8c_ard_3-0-0_112084_2015-05-05_final
2015-08-20 11:17:28	ga_ls8c_ard_3-0-0_109084_2015-08-20_final
2015-10-21 09:50:27	ga_ls8c_ard_3-0-0_095082_2015-10-21_final
2015-11-01 09:25:59	ga_ls8c_ard_3-0-0_092067_2015-10-31_final
2015-11-28 09:12:16	ga_ls8c_ard_3-0-0_089079_2015-11-27_final
2015-12-15 11:30:48	ga_ls8c_ard_3-0-0_112070_2015-12-15_final
2015-12-21 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-12-20_final
2016-02-13 10:18:52	ga_ls8c_ard_3-0-0_100076_2016-02-13_final
2016-06-15 10:01:39	ga_ls8c_ard_3-0-0_097080_2016-06-15_final
2016-09-18 10:53:49	ga_ls8c_ard_3-0-0_106070_2016-09-18_final
2016-09-23 09:32:17	ga_ls8c_ard_3-0-0_093067_2016-09-23_final
2016-09-27 09:15:08	ga_ls8c_ard_3-0-0_089086_2016-09-26_final
2016-10-23 09:46:45	ga_ls8c_ard_3-0-0_095072_2016-10-23_final
2016-10-31 10:39:47	ga_ls8c_ard_3-0-0_103081_2016-10-31_final
2016-11-01 09:38:35	ga_ls8c_ard_3-0-0_094067_2016-11-01_final
2017-01-07 10:11:19	ga_ls8c_ard_3-0-0_099072_2017-01-07_final
2017-01-20 11:19:38	ga_ls8c_ard_3-0-0_110073_2017-01-20_final
2017-03-22 09:11:46	ga_ls8c_ard_3-0-0_089079_2017-03-21_final
2017-06-08 09:21:44	ga_ls8c_ard_3-0-0_091073_2017-06-07_final
2017-08-13 09:14:33	ga_ls8c_ard_3-0-0_089085_2017-08-12_final
2017-08-28 11:41:56	ga_ls8c_ard_3-0-0_114067_2017-08-28_final
2017-11-13 09:32:18	ga_ls8c_ard_3-0-0_093067_2017-11-13_final
2017-12-29 09:52:34	ga_ls8c_ard_3-0-0_095087_2017-12-29_final
2018-03-03 09:52:05	ga_ls8c_ard_3-0-0_095087_2018-03-03_final
2018-04-09 11:41:13	ga_ls8c_ard_3-0-0_114067_2018-04-09_final
2018-05-18 10:14:30	ga_ls8c_ard_3-0-0_099083_2018-05-18_final
2018-10-06 09:38:00	ga_ls8c_ard_3-0-0_094067_2018-10-06_final
2018-11-10 10:09:52	ga_ls8c_ard_3-0-0_099069_2018-11-10_final
2019-05-09 11:22:48	ga_ls8c_ard_3-0-0_111067_2019-05-09_final
2020-03-13 10:03:13	ga_ls8c_ard_3-1-0_098068_2020-03-13_final
2020-06-30 09:35:01	ga_ls8c_ard_3-1-0_093075_2020-06-30_final
2020-08-09 10:22:39	ga_ls8c_ard_3-1-0_101070_2020-08-09_final
2020-10-29 09:34:34	ga_ls8c_ard_3-1-0_092088_2020-10-29_final
2020-12-13 10:38:59	ga_ls8c_ard_3-1-0_103079_2020-12-13_final
2021-01-30 10:39:58	ga_ls8c_ard_3-2-0_103082_2021-01-30_final
2021-03-29 11:13:55	ga_ls8c_ard_3-2-0_109075_2021-03-29_final
2021-04-14 09:33:44	ga_ls8c_ard_3-2-0_093072_2021-04-14_final
2021-05-07 09:37:43	ga_ls8c_ard_3-2-0_094067_2021-05-07_final
2021-06-12 09:16:31	ga_ls8c_ard_3-2-0_090075_2021-06-11_final
2021-09-17 09:57:03	ga_ls8c_ard_3-2-0_097067_2021-09-17_final
2021-11-06 11:24:30	ga_ls8c_ard_3-2-0_111069_2021-11-06_final
2021-12-19 09:29:47	ga_ls8c_ard_3-2-1_092076_2021-12-18_final
2022-01-11 09:40:40	ga_ls8c_ard_3-2-1_093088_2022-01-11_final
2022-02-13 10:20:11	ga_ls8c_ard_3-2-1_100079_2022-02-13_final
2022-02-18 10:39:29	ga_ls8c_ard_3-2-1_103081_2022-02-18_final
2022-04-27 10:14:05	ga_ls8c_ard_3-2-1_099080_2022-04-27_final
2022-07-31 09:33:04	ga_ls8c_ard_3-2-1_092084_2022-07-31_final
2022-11-26 10:34:13	ga_ls8c_ard_3-2-1_102082_2022-11-26_final
2023-04-30 10:12:36	ga_ls8c_ard_3-2-1_099077_2023-04-30_final
2023-07-19 10:10:25	ga_ls8c_ard_3-2-1_099071_2023-07-19_final
2023-08-18 10:27:26	ga_ls8c_ard_3-2-1_101082_2023-08-18_final
2023-08-29 10:03:21	ga_ls8c_ard_3-2-1_098068_2023-08-29_final
2023-10-20 11:21:14	ga_ls8c_ard_3-2-1_110077_2023-10-20_final
2024-02-09 09:45:31	ga_ls8c_ard_3-2-1_094085_2024-02-09_final
2024-02-09 11:20:01	ga_ls8c_ard_3-2-1_110074_2024-02-09_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