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
2013-05-27 10:21:21	ga_ls8c_ard_3-0-0_100077_2013-05-27_final
2013-08-23 09:30:42	ga_ls8c_ard_3-0-0_092074_2013-08-23_final
2013-09-30 10:35:32	ga_ls8c_ard_3-0-0_102082_2013-09-30_final
2013-11-13 09:18:25	ga_ls8c_ard_3-0-0_090075_2013-11-12_final
2014-02-06 09:35:26	ga_ls8c_ard_3-0-0_093073_2014-02-06_final
2015-04-07 09:28:02	ga_ls8c_ard_3-0-0_092074_2015-04-06_final
2015-04-10 11:37:49	ga_ls8c_ard_3-0-0_113074_2015-04-10_final
2015-09-22 10:22:04	ga_ls8c_ard_3-0-0_100084_2015-09-22_final
2015-10-18 09:17:07	ga_ls8c_ard_3-0-0_090076_2015-10-17_final
2015-11-17 09:28:47	ga_ls8c_ard_3-0-0_092074_2015-11-16_final
2016-02-17 11:31:23	ga_ls8c_ard_3-0-0_112072_2016-02-17_final
2016-06-14 10:55:17	ga_ls8c_ard_3-0-0_106075_2016-06-14_final
2016-09-26 10:07:58	ga_ls8c_ard_3-0-0_098079_2016-09-26_final
2016-12-07 09:17:25	ga_ls8c_ard_3-0-0_090076_2016-12-06_final
2016-12-10 09:47:30	ga_ls8c_ard_3-0-0_095074_2016-12-10_final
2017-02-14 09:39:58	ga_ls8c_ard_3-0-0_093087_2017-02-14_final
2017-04-22 10:03:08	ga_ls8c_ard_3-0-0_098069_2017-04-22_final
2017-11-16 10:10:22	ga_ls8c_ard_3-0-0_098085_2017-11-16_final
2018-06-29 09:15:09	ga_ls8c_ard_3-0-0_089089_2018-06-28_final
2018-11-25 09:25:48	ga_ls8c_ard_3-0-0_092067_2018-11-24_final
2018-12-19 10:16:47	ga_ls8c_ard_3-0-0_100071_2018-12-19_final
2019-04-07 09:45:31	ga_ls8c_ard_3-1-0_095071_2019-04-07_final
2019-06-05 09:27:37	ga_ls8c_ard_3-0-0_092072_2019-06-04_final
2019-06-15 11:41:40	ga_ls8c_ard_3-1-0_114067_2019-06-15_final
2019-10-16 09:52:23	ga_ls8c_ard_3-1-0_095086_2019-10-16_final
2020-01-15 11:10:55	ga_ls8c_ard_3-1-0_108082_2020-01-15_final
2020-01-19 10:42:59	ga_ls8c_ard_3-1-0_104074_2020-01-19_final
2020-02-12 11:31:31	ga_ls8c_ard_3-1-0_112072_2020-02-12_final
2020-03-05 09:21:25	ga_ls8c_ard_3-1-0_090087_2020-03-04_final
2020-06-17 10:09:24	ga_ls8c_ard_3-1-0_098084_2020-06-17_final
2020-07-25 09:28:35	ga_ls8c_ard_3-1-0_092074_2020-07-24_final
2020-08-01 09:33:35	ga_ls8c_ard_3-1-0_093071_2020-08-01_final
2020-08-08 09:45:23	ga_ls8c_ard_3-1-0_094085_2020-08-08_final
2020-08-17 11:13:45	ga_ls8c_ard_3-1-0_109074_2020-08-17_final
2020-09-14 11:38:41	ga_ls8c_ard_3-1-0_113074_2020-09-14_final
2021-11-17 09:34:59	ga_ls8c_ard_3-2-0_092089_2021-11-17_final
2022-02-20 10:27:30	ga_ls8c_ard_3-2-1_101082_2022-02-20_final
2022-05-26 11:19:26	ga_ls8c_ard_3-2-1_110073_2022-05-26_final
2022-07-31 09:29:04	ga_ls8c_ard_3-2-1_092074_2022-07-30_final
2023-01-25 09:17:28	ga_ls8c_ard_3-2-1_090076_2023-01-24_final
2023-05-07 10:21:05	ga_ls8c_ard_3-2-1_100083_2023-05-07_final
2023-07-02 09:28:17	ga_ls8c_ard_3-2-1_092074_2023-07-01_final
2023-12-07 09:39:54	ga_ls8c_ard_3-2-1_094071_2023-12-07_final
2023-12-08 10:27:34	ga_ls8c_ard_3-2-1_101082_2023-12-08_final
2023-12-16 09:33:50	ga_ls8c_ard_3-2-1_093071_2023-12-16_final
2023-12-25 09:28:04	ga_ls8c_ard_3-2-1_092072_2023-12-24_final
2024-01-26 11:07:33	ga_ls8c_ard_3-2-1_108074_2024-01-26_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