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

59 results

Time (local)	Label
2013-07-13 11:18:30	ga_ls8c_ard_3-0-0_109081_2013-07-13_final
2013-07-15 09:28:51	ga_ls8c_ard_3-0-0_091085_2013-07-14_final
2013-10-01 09:40:43	ga_ls8c_ard_3-0-0_093084_2013-10-01_final
2013-11-12 10:15:15	ga_ls8c_ard_3-0-0_099078_2013-11-12_final
2014-03-13 10:05:28	ga_ls8c_ard_3-0-0_098072_2014-03-13_final
2014-03-19 11:09:59	ga_ls8c_ard_3-0-0_108079_2014-03-19_final
2014-09-17 10:33:47	ga_ls8c_ard_3-0-0_102082_2014-09-17_final
2014-12-23 09:34:10	ga_ls8c_ard_3-0-0_093072_2014-12-23_final
2015-08-18 11:29:25	ga_ls8c_ard_3-0-0_111083_2015-08-18_final
2015-09-21 09:39:36	ga_ls8c_ard_3-0-0_093086_2015-09-21_final
2015-11-06 09:51:18	ga_ls8c_ard_3-0-0_095084_2015-11-06_final
2015-12-06 11:42:10	ga_ls8c_ard_3-0-0_113083_2015-12-06_final
2016-02-07 10:52:24	ga_ls8c_ard_3-0-0_106067_2016-02-07_final
2016-03-25 10:12:51	ga_ls8c_ard_3-0-0_099077_2016-03-25_final
2016-04-17 10:21:40	ga_ls8c_ard_3-0-0_100084_2016-04-17_final
2016-07-16 10:52:21	ga_ls8c_ard_3-0-0_106067_2016-07-16_final
2016-08-24 09:21:49	ga_ls8c_ard_3-0-0_091072_2016-08-23_final
2016-12-08 11:37:57	ga_ls8c_ard_3-0-0_113072_2016-12-08_final
2016-12-28 09:32:17	ga_ls8c_ard_3-0-0_093067_2016-12-28_final
2017-05-31 10:09:31	ga_ls8c_ard_3-0-0_099069_2017-05-31_final
2017-06-23 11:58:20	ga_ls8c_ard_3-0-0_116078_2017-06-23_final
2017-12-04 09:57:31	ga_ls8c_ard_3-0-0_096084_2017-12-04_final
2017-12-09 10:10:52	ga_ls8c_ard_3-0-0_099071_2017-12-09_final
2017-12-14 10:29:02	ga_ls8c_ard_3-0-0_102070_2017-12-14_final
2018-01-17 11:57:25	ga_ls8c_ard_3-0-0_116075_2018-01-17_final
2018-05-02 10:15:04	ga_ls8c_ard_3-0-0_099084_2018-05-02_final
2018-09-02 11:31:49	ga_ls8c_ard_3-0-0_112074_2018-09-02_final
2018-12-07 11:30:34	ga_ls8c_ard_3-0-0_112070_2018-12-07_final
2018-12-16 11:23:58	ga_ls8c_ard_3-0-0_111069_2018-12-16_final
2019-01-03 11:17:11	ga_ls8c_ard_3-0-0_109083_2019-01-03_final
2019-03-02 10:12:48	ga_ls8c_ard_3-0-0_099077_2019-03-02_final
2019-05-18 09:39:49	ga_ls8c_ard_3-0-0_094072_2019-05-18_final
2019-06-06 10:12:53	ga_ls8c_ard_3-0-0_099077_2019-06-06_final
2019-06-21 11:11:00	ga_ls8c_ard_3-1-0_108083_2019-06-21_final
2020-02-11 10:47:27	ga_ls8c_ard_3-1-0_105070_2020-02-11_final
2020-08-11 11:51:11	ga_ls8c_ard_3-1-0_115075_2020-08-11_final
2021-04-21 09:40:40	ga_ls8c_ard_3-2-0_094074_2021-04-21_final
2021-06-02 10:19:27	ga_ls8c_ard_3-2-0_100078_2021-06-02_final
2021-08-01 09:06:47	ga_ls8c_ard_3-2-0_088081_2021-07-31_final
2021-09-20 10:33:33	ga_ls8c_ard_3-2-0_102081_2021-09-20_final
2021-11-06 11:24:30	ga_ls8c_ard_3-2-0_111069_2021-11-06_final
2022-01-28 10:20:38	ga_ls8c_ard_3-2-1_100080_2022-01-28_final
2022-05-21 09:25:13	ga_ls8c_ard_3-2-1_091081_2022-05-20_final
2022-06-11 09:40:21	ga_ls8c_ard_3-2-1_094072_2022-06-11_final
2022-06-19 10:33:28	ga_ls8c_ard_3-2-1_102081_2022-06-19_final
2022-10-17 09:40:45	ga_ls8c_ard_3-2-1_094072_2022-10-17_final
2022-10-22 11:38:14	ga_ls8c_ard_3-2-1_113072_2022-10-22_final
2022-11-12 10:22:41	ga_ls8c_ard_3-2-1_100084_2022-11-12_final
2022-12-24 09:23:04	ga_ls8c_ard_3-2-1_090090_2022-12-23_final
2023-03-17 11:23:38	ga_ls8c_ard_3-2-1_111068_2023-03-17_final
2023-08-08 09:46:16	ga_ls8c_ard_3-2-1_095072_2023-08-08_final
2023-10-20 11:18:03	ga_ls8c_ard_3-2-1_110069_2023-10-20_final
2023-10-27 11:23:54	ga_ls8c_ard_3-2-1_111068_2023-10-27_final
2023-12-28 09:58:09	ga_ls8c_ard_3-2-1_097070_2023-12-28_final
2023-12-30 11:25:51	ga_ls8c_ard_3-2-1_111073_2023-12-30_final
2024-01-04 10:02:38	ga_ls8c_ard_3-2-1_098066_2024-01-04_final
2024-01-07 10:35:56	ga_ls8c_ard_3-2-1_103072_2024-01-07_final
2024-02-03 10:16:59	ga_ls8c_ard_3-2-1_100071_2024-02-03_final
2024-03-31 10:10:20	ga_ls8c_ard_3-2-1_099071_2024-03-31_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