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

48 results

Time (local)	Label
2013-04-11 10:13:49	ga_ls8c_ard_3-0-0_098084_2013-04-11_final
2014-10-25 11:30:29	ga_ls8c_ard_3-0-0_112069_2014-10-25_final
2015-01-06 09:50:50	ga_ls8c_ard_3-0-0_095083_2015-01-06_final
2015-01-10 09:22:08	ga_ls8c_ard_3-0-0_091073_2015-01-09_final
2015-04-15 10:16:17	ga_ls8c_ard_3-0-0_100071_2015-04-15_final
2015-05-14 09:51:24	ga_ls8c_ard_3-0-0_095087_2015-05-14_final
2015-06-03 09:28:01	ga_ls8c_ard_3-0-0_091090_2015-06-02_final
2015-08-18 09:45:20	ga_ls8c_ard_3-0-0_095070_2015-08-18_final
2015-09-12 11:19:01	ga_ls8c_ard_3-0-0_110072_2015-09-12_final
2016-01-26 10:28:33	ga_ls8c_ard_3-0-0_102069_2016-01-26_final
2016-03-08 11:06:13	ga_ls8c_ard_3-0-0_108071_2016-03-08_final
2016-04-30 11:23:41	ga_ls8c_ard_3-0-0_111069_2016-04-30_final
2017-01-26 10:42:31	ga_ls8c_ard_3-0-0_104073_2017-01-26_final
2017-03-26 10:27:29	ga_ls8c_ard_3-0-0_101083_2017-03-26_final
2017-07-12 09:10:19	ga_ls8c_ard_3-0-0_089075_2017-07-11_final
2017-07-18 11:52:15	ga_ls8c_ard_3-0-0_115078_2017-07-18_final
2017-09-08 09:46:31	ga_ls8c_ard_3-0-0_095072_2017-09-08_final
2017-11-02 11:32:34	ga_ls8c_ard_3-0-0_112074_2017-11-02_final
2018-01-02 09:24:13	ga_ls8c_ard_3-0-0_091078_2018-01-01_final
2018-08-09 09:06:30	ga_ls8c_ard_3-0-0_088082_2018-08-08_final
2018-10-26 10:57:28	ga_ls8c_ard_3-0-0_106080_2018-10-26_final
2019-02-22 09:28:35	ga_ls8c_ard_3-0-0_091090_2019-02-21_final
2019-03-12 10:49:01	ga_ls8c_ard_3-1-0_105075_2019-03-12_final
2019-04-18 11:07:23	ga_ls8c_ard_3-1-0_108075_2019-04-18_final
2019-09-14 11:26:21	ga_ls8c_ard_3-1-0_111074_2019-09-14_final
2019-10-06 09:10:53	ga_ls8c_ard_3-1-0_089075_2019-10-05_final
2019-10-22 09:11:43	ga_ls8c_ard_3-1-0_089077_2019-10-21_final
2020-01-17 10:57:45	ga_ls8c_ard_3-1-0_106080_2020-01-17_final
2020-02-10 10:03:48	ga_ls8c_ard_3-1-0_098069_2020-02-10_final
2020-02-24 10:18:06	ga_ls8c_ard_3-1-0_100074_2020-02-24_final
2020-03-26 11:13:29	ga_ls8c_ard_3-1-0_109074_2020-03-26_final
2020-07-31 10:30:24	ga_ls8c_ard_3-1-0_102074_2020-07-31_final
2020-08-08 09:39:47	ga_ls8c_ard_3-1-0_094071_2020-08-08_final
2020-09-22 09:10:24	ga_ls8c_ard_3-1-0_089074_2020-09-21_final
2020-12-19 09:57:54	ga_ls8c_ard_3-2-0_097069_2020-12-19_final
2022-11-08 09:07:22	ga_ls8c_ard_3-2-1_088081_2022-11-07_final
2023-01-12 11:26:27	ga_ls8c_ard_3-2-1_111074_2023-01-12_final
2023-01-15 10:18:01	ga_ls8c_ard_3-2-1_100073_2023-01-15_final
2023-03-10 09:40:12	ga_ls8c_ard_3-2-1_094072_2023-03-10_final
2023-06-21 11:23:57	ga_ls8c_ard_3-2-1_111070_2023-06-21_final
2023-11-17 10:07:33	ga_ls8c_ard_3-2-1_098078_2023-11-17_final
2023-11-30 11:14:44	ga_ls8c_ard_3-2-1_109076_2023-11-30_final
2024-01-11 11:51:20	ga_ls8c_ard_3-2-1_115075_2024-01-11_final
2024-02-13 09:21:35	ga_ls8c_ard_3-2-1_090087_2024-02-12_final
2024-02-21 10:09:24	ga_ls8c_ard_3-2-1_098083_2024-02-21_final
2024-03-09 09:11:35	ga_ls8c_ard_3-2-1_089078_2024-03-08_final
2024-04-15 11:11:04	ga_ls8c_ard_3-2-1_108084_2024-04-15_nrt
2024-04-23 10:19:10	ga_ls8c_ard_3-2-1_100078_2024-04-23_nrt

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