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

56 results

Time (local)	Label
2013-04-17 11:07:46	ga_ls8c_ard_3-0-0_108070_2013-04-17_final
2013-08-07 09:36:16	ga_ls8c_ard_3-0-0_092088_2013-08-07_final
2014-02-15 09:29:30	ga_ls8c_ard_3-0-0_092074_2014-02-14_final
2014-06-07 09:33:55	ga_ls8c_ard_3-0-0_092088_2014-06-07_final
2014-08-12 10:58:50	ga_ls8c_ard_3-0-0_106083_2014-08-12_final
2014-08-22 11:30:45	ga_ls8c_ard_3-0-0_112070_2014-08-22_final
2014-11-09 09:10:21	ga_ls8c_ard_3-0-0_089074_2014-11-08_final
2014-11-29 10:25:41	ga_ls8c_ard_3-0-0_101077_2014-11-29_final
2014-12-18 09:17:13	ga_ls8c_ard_3-0-0_090076_2014-12-17_final
2015-01-11 10:07:47	ga_ls8c_ard_3-0-0_098079_2015-01-11_final
2015-04-30 11:12:58	ga_ls8c_ard_3-0-0_109074_2015-04-30_final
2015-08-23 10:07:06	ga_ls8c_ard_3-0-0_098078_2015-08-23_final
2015-10-01 11:51:13	ga_ls8c_ard_3-0-0_115075_2015-10-01_final
2016-01-21 10:15:36	ga_ls8c_ard_3-0-0_099083_2016-01-21_final
2016-02-23 09:16:59	ga_ls8c_ard_3-0-0_090076_2016-02-22_final
2016-03-15 09:34:40	ga_ls8c_ard_3-0-0_093074_2016-03-15_final
2016-07-24 10:09:20	ga_ls8c_ard_3-0-0_098083_2016-07-24_final
2016-11-12 09:22:01	ga_ls8c_ard_3-0-0_091072_2016-11-11_final
2016-12-28 09:38:40	ga_ls8c_ard_3-0-0_093083_2016-12-28_final
2017-01-10 10:43:24	ga_ls8c_ard_3-0-0_104075_2017-01-10_final
2017-02-09 09:21:51	ga_ls8c_ard_3-0-0_090088_2017-02-08_final
2017-09-04 11:51:19	ga_ls8c_ard_3-0-0_115075_2017-09-04_final
2017-11-06 09:32:56	ga_ls8c_ard_3-0-0_092084_2017-11-06_final
2017-12-08 09:28:00	ga_ls8c_ard_3-0-0_092072_2017-12-07_final
2018-01-04 09:10:39	ga_ls8c_ard_3-0-0_089075_2018-01-03_final
2018-01-28 09:57:53	ga_ls8c_ard_3-0-0_097070_2018-01-28_final
2018-07-29 09:20:57	ga_ls8c_ard_3-0-0_091072_2018-07-28_final
2018-09-13 11:17:20	ga_ls8c_ard_3-0-0_109084_2018-09-13_final
2018-09-29 09:33:22	ga_ls8c_ard_3-0-0_093071_2018-09-29_final
2018-11-01 10:20:01	ga_ls8c_ard_3-0-0_100079_2018-11-01_final
2019-04-04 09:16:38	ga_ls8c_ard_3-1-0_090076_2019-04-03_final
2019-06-16 09:12:21	ga_ls8c_ard_3-1-0_089080_2019-06-15_final
2019-08-20 11:30:50	ga_ls8c_ard_3-1-0_112070_2019-08-20_final
2019-10-25 11:18:18	ga_ls8c_ard_3-1-0_110069_2019-10-25_final
2019-10-29 09:17:30	ga_ls8c_ard_3-1-0_090076_2019-10-28_final
2020-02-10 10:03:48	ga_ls8c_ard_3-1-0_098069_2020-02-10_final
2020-02-11 10:52:38	ga_ls8c_ard_3-1-0_105083_2020-02-11_final
2020-03-24 11:23:52	ga_ls8c_ard_3-1-0_111069_2020-03-24_final
2020-07-02 11:01:09	ga_ls8c_ard_3-1-0_107074_2020-07-02_final
2020-08-27 11:51:19	ga_ls8c_ard_3-1-0_115075_2020-08-27_final
2020-09-23 11:30:57	ga_ls8c_ard_3-1-0_112070_2020-09-23_final
2021-04-12 11:28:11	ga_ls8c_ard_3-2-0_111080_2021-04-12_final
2021-06-05 09:14:17	ga_ls8c_ard_3-2-0_089085_2021-06-04_final
2022-01-04 09:34:30	ga_ls8c_ard_3-2-1_092088_2022-01-04_final
2022-01-13 09:23:06	ga_ls8c_ard_3-2-1_091075_2022-01-12_final
2022-02-04 10:28:00	ga_ls8c_ard_3-2-1_101083_2022-02-04_final
2022-03-09 09:27:51	ga_ls8c_ard_3-2-1_092072_2022-03-08_final
2022-06-16 11:42:13	ga_ls8c_ard_3-2-1_113083_2022-06-16_final
2022-11-20 09:29:11	ga_ls8c_ard_3-2-1_092074_2022-11-19_final
2022-12-06 09:29:13	ga_ls8c_ard_3-2-1_092074_2022-12-05_final
2023-07-04 09:16:44	ga_ls8c_ard_3-2-1_090076_2023-07-03_final
2023-07-26 10:19:53	ga_ls8c_ard_3-2-1_100079_2023-07-26_final
2023-09-24 10:45:18	ga_ls8c_ard_3-2-1_104080_2023-09-24_final
2023-09-25 09:46:06	ga_ls8c_ard_3-2-1_095071_2023-09-25_final
2024-02-20 09:22:57	ga_ls8c_ard_3-2-1_091075_2024-02-19_final
2024-03-05 11:12:50	ga_ls8c_ard_3-2-1_109072_2024-03-05_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