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

47 results

Time (local)	Label
2013-07-07 10:15:54	ga_ls8c_ard_3-0-0_099079_2013-07-07_final
2013-09-25 10:17:48	ga_ls8c_ard_3-0-0_099084_2013-09-25_final
2013-12-30 10:14:32	ga_ls8c_ard_3-0-0_099077_2013-12-30_final
2014-04-20 09:25:46	ga_ls8c_ard_3-0-0_092067_2014-04-19_final
2014-06-05 09:39:52	ga_ls8c_ard_3-0-0_094072_2014-06-05_final
2015-10-20 10:46:04	ga_ls8c_ard_3-0-0_104082_2015-10-20_final
2016-02-23 10:52:41	ga_ls8c_ard_3-0-0_106068_2016-02-23_final
2016-05-19 10:18:53	ga_ls8c_ard_3-0-0_100077_2016-05-19_final
2016-05-26 10:25:31	ga_ls8c_ard_3-0-0_101078_2016-05-26_final
2016-09-02 09:17:41	ga_ls8c_ard_3-0-0_090077_2016-09-01_final
2016-10-05 09:57:50	ga_ls8c_ard_3-0-0_097069_2016-10-05_final
2017-02-17 10:04:28	ga_ls8c_ard_3-0-0_098071_2017-02-17_final
2017-02-26 11:37:31	ga_ls8c_ard_3-0-0_113072_2017-02-26_final
2017-04-05 09:19:38	ga_ls8c_ard_3-0-0_091068_2017-04-04_final
2017-08-09 09:34:27	ga_ls8c_ard_3-0-0_093073_2017-08-09_final
2018-02-11 10:14:09	ga_ls8c_ard_3-0-0_099080_2018-02-11_final
2018-07-05 11:50:18	ga_ls8c_ard_3-0-0_115075_2018-07-05_final
2018-12-21 10:02:26	ga_ls8c_ard_3-2-1_098066_2018-12-21_final
2018-12-22 09:11:12	ga_ls8c_ard_3-0-0_089077_2018-12-21_final
2019-05-21 10:09:57	ga_ls8c_ard_3-0-0_099070_2019-05-21_final
2019-07-31 10:16:57	ga_ls8c_ard_3-1-0_100071_2019-07-31_final
2019-12-22 10:21:34	ga_ls8c_ard_3-1-0_100082_2019-12-22_final
2020-02-23 11:17:43	ga_ls8c_ard_3-1-0_109084_2020-02-23_final
2020-02-28 09:57:45	ga_ls8c_ard_3-1-0_096085_2020-02-28_final
2020-05-30 10:19:10	ga_ls8c_ard_3-1-0_100078_2020-05-30_final
2020-06-12 11:23:18	ga_ls8c_ard_3-1-0_111068_2020-06-12_final
2020-06-22 10:27:11	ga_ls8c_ard_3-1-0_101082_2020-06-22_final
2020-07-26 10:08:39	ga_ls8c_ard_3-2-1_099066_2020-07-26_final
2020-08-20 10:07:00	ga_ls8c_ard_3-1-0_098077_2020-08-20_final
2021-03-11 09:46:18	ga_ls8c_ard_3-2-0_095072_2021-03-11_final
2021-06-12 10:55:24	ga_ls8c_ard_3-2-0_106075_2021-06-12_final
2021-09-15 10:09:49	ga_ls8c_ard_3-2-0_099068_2021-09-15_final
2022-01-14 10:03:58	ga_ls8c_ard_3-2-1_098069_2022-01-14_final
2022-02-07 10:53:43	ga_ls8c_ard_3-2-1_106070_2022-02-07_final
2022-03-16 11:13:39	ga_ls8c_ard_3-2-1_109074_2022-03-16_final
2022-04-21 10:49:13	ga_ls8c_ard_3-2-1_105075_2022-04-21_final
2022-06-04 11:14:10	ga_ls8c_ard_3-2-1_109075_2022-06-04_final
2022-06-20 11:14:20	ga_ls8c_ard_3-2-1_109075_2022-06-20_final
2022-07-29 09:40:37	ga_ls8c_ard_3-2-1_094072_2022-07-29_final
2022-09-04 11:42:11	ga_ls8c_ard_3-2-1_113082_2022-09-04_final
2022-11-30 10:03:07	ga_ls8c_ard_3-2-1_098066_2022-11-30_final
2023-05-08 09:21:04	ga_ls8c_ard_3-2-1_091072_2023-05-07_final
2023-06-01 10:08:02	ga_ls8c_ard_3-2-1_099066_2023-06-01_final
2023-08-01 11:19:45	ga_ls8c_ard_3-2-1_110074_2023-08-01_final
2023-09-19 10:25:33	ga_ls8c_ard_3-2-1_101077_2023-09-19_final
2023-10-28 10:33:52	ga_ls8c_ard_3-2-1_102082_2023-10-28_final
2024-01-04 10:07:25	ga_ls8c_ard_3-2-1_098078_2024-01-04_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