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

49 results

Time (local)	Label
2013-04-05 09:28:04	ga_ls8c_ard_3-0-0_092075_2013-04-04_final
2013-05-14 10:52:09	ga_ls8c_ard_3-0-0_105077_2013-05-14_final
2013-11-29 09:22:42	ga_ls8c_ard_3-0-0_090086_2013-11-28_final
2014-01-31 10:10:36	ga_ls8c_ard_3-0-0_099068_2014-01-31_final
2014-06-23 09:31:58	ga_ls8c_ard_3-0-0_092083_2014-06-23_final
2014-08-08 09:39:51	ga_ls8c_ard_3-0-0_094071_2014-08-08_final
2014-12-16 11:06:04	ga_ls8c_ard_3-0-0_108070_2014-12-16_final
2015-04-05 09:37:36	ga_ls8c_ard_3-0-0_094067_2015-04-05_final
2015-09-22 10:16:53	ga_ls8c_ard_3-0-0_100071_2015-09-22_final
2015-10-28 11:30:46	ga_ls8c_ard_3-0-0_112070_2015-10-28_final
2015-11-02 11:52:55	ga_ls8c_ard_3-0-0_115079_2015-11-02_final
2016-01-25 09:46:29	ga_ls8c_ard_3-0-0_095072_2016-01-25_final
2016-02-19 09:38:07	ga_ls8c_ard_3-0-0_094067_2016-02-19_final
2016-04-09 11:09:10	ga_ls8c_ard_3-0-0_108079_2016-04-09_final
2016-06-19 09:32:10	ga_ls8c_ard_3-0-0_093068_2016-06-19_final
2016-12-25 10:43:27	ga_ls8c_ard_3-0-0_104075_2016-12-25_final
2016-12-26 11:26:19	ga_ls8c_ard_3-0-0_111074_2016-12-26_final
2017-03-08 10:37:14	ga_ls8c_ard_3-0-0_103076_2017-03-08_final
2017-05-18 10:44:41	ga_ls8c_ard_3-0-0_104080_2017-05-18_final
2017-12-04 11:33:13	ga_ls8c_ard_3-0-0_112076_2017-12-04_final
2017-12-13 09:44:34	ga_ls8c_ard_3-0-0_095067_2017-12-13_final
2018-04-15 11:10:27	ga_ls8c_ard_3-0-0_108083_2018-04-15_final
2018-05-16 10:21:41	ga_ls8c_ard_3-0-0_101070_2018-05-16_final
2018-06-14 09:49:28	ga_ls8c_ard_3-0-0_096067_2018-06-14_final
2018-08-31 10:09:17	ga_ls8c_ard_3-0-0_098084_2018-08-31_final
2018-10-22 09:38:06	ga_ls8c_ard_3-0-0_094067_2018-10-22_final
2018-11-21 11:29:48	ga_ls8c_ard_3-0-0_112068_2018-11-21_final
2018-12-29 09:20:58	ga_ls8c_ard_3-0-0_090086_2018-12-28_final
2019-09-19 11:47:19	ga_ls8c_ard_3-1-0_114080_2019-09-19_final
2019-12-08 10:09:39	ga_ls8c_ard_3-1-0_098083_2019-12-08_final
2019-12-16 10:58:40	ga_ls8c_ard_3-2-0_106082_2019-12-16_final
2020-03-26 11:13:53	ga_ls8c_ard_3-1-0_109075_2020-03-26_final
2020-05-23 10:12:34	ga_ls8c_ard_3-1-0_099077_2020-05-23_final
2020-05-25 11:35:06	ga_ls8c_ard_3-1-0_113067_2020-05-25_final
2020-07-02 11:04:45	ga_ls8c_ard_3-1-0_107083_2020-07-02_final
2020-11-20 10:28:23	ga_ls8c_ard_3-1-0_102068_2020-11-20_final
2021-01-01 09:33:44	ga_ls8c_ard_3-2-0_092086_2021-01-01_final
2021-01-20 11:37:47	ga_ls8c_ard_3-2-0_113072_2021-01-20_final
2021-02-12 10:09:02	ga_ls8c_ard_3-2-0_098082_2021-02-12_final
2021-03-26 10:42:13	ga_ls8c_ard_3-2-0_104073_2021-03-26_final
2021-10-27 09:16:56	ga_ls8c_ard_3-2-0_089090_2021-10-26_final
2021-12-20 10:13:27	ga_ls8c_ard_3-2-1_099077_2021-12-20_final
2022-06-08 09:11:48	ga_ls8c_ard_3-2-1_089078_2022-06-07_final
2022-09-18 10:16:57	ga_ls8c_ard_3-2-1_099085_2022-09-18_final
2023-01-19 09:53:16	ga_ls8c_ard_3-2-1_096073_2023-01-19_final
2023-04-27 09:39:44	ga_ls8c_ard_3-2-1_094072_2023-04-27_final
2023-08-04 10:10:35	ga_ls8c_ard_3-2-1_099071_2023-08-04_final
2023-12-22 10:39:39	ga_ls8c_ard_3-2-1_103081_2023-12-22_final
2024-02-24 10:34:41	ga_ls8c_ard_3-2-1_103069_2024-02-24_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