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

73 results

Time (local)	Label
2013-05-22 09:59:12	ga_ls8c_ard_3-0-0_097068_2013-05-22_final
2013-09-09 10:15:32	ga_ls8c_ard_3-0-0_099078_2013-09-09_final
2014-01-15 10:10:41	ga_ls8c_ard_3-0-0_099068_2014-01-15_final
2014-01-21 09:35:35	ga_ls8c_ard_3-0-0_093073_2014-01-21_final
2014-05-23 10:12:37	ga_ls8c_ard_3-0-0_099077_2014-05-23_final
2014-07-23 09:39:42	ga_ls8c_ard_3-0-0_094071_2014-07-23_final
2014-11-07 09:20:19	ga_ls8c_ard_3-0-0_091068_2014-11-06_final
2014-11-16 09:17:18	ga_ls8c_ard_3-0-0_090076_2014-11-15_final
2014-12-27 09:10:36	ga_ls8c_ard_3-0-0_089075_2014-12-26_final
2015-04-09 09:20:28	ga_ls8c_ard_3-0-0_090086_2015-04-08_final
2015-05-07 09:37:21	ga_ls8c_ard_3-0-0_094067_2015-05-07_final
2015-07-29 10:13:08	ga_ls8c_ard_3-0-0_099078_2015-07-29_final
2015-08-09 11:29:31	ga_ls8c_ard_3-0-0_112068_2015-08-09_final
2015-12-21 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-12-20_final
2016-04-17 10:18:52	ga_ls8c_ard_3-0-0_100077_2016-04-17_final
2016-06-10 11:18:48	ga_ls8c_ard_3-0-0_110072_2016-06-10_final
2016-11-15 11:32:12	ga_ls8c_ard_3-0-0_112073_2016-11-15_final
2017-02-14 09:33:35	ga_ls8c_ard_3-0-0_093071_2017-02-14_final
2017-02-18 09:10:03	ga_ls8c_ard_3-0-0_089074_2017-02-17_final
2017-03-04 09:21:31	ga_ls8c_ard_3-0-0_091072_2017-03-03_final
2017-03-07 09:51:11	ga_ls8c_ard_3-0-0_096069_2017-03-07_final
2017-06-16 10:09:14	ga_ls8c_ard_3-0-0_099068_2017-06-16_final
2017-07-18 10:09:23	ga_ls8c_ard_3-0-0_099068_2017-07-18_final
2018-01-03 10:09:52	ga_ls8c_ard_3-0-0_098084_2018-01-03_final
2018-06-04 09:15:53	ga_ls8c_ard_3-0-0_090076_2018-06-03_final
2018-06-09 09:33:15	ga_ls8c_ard_3-0-0_093073_2018-06-09_final
2018-08-29 10:19:14	ga_ls8c_ard_3-0-0_100078_2018-08-29_final
2019-02-27 09:39:55	ga_ls8c_ard_3-0-0_094072_2019-02-27_final
2019-03-18 10:09:31	ga_ls8c_ard_3-1-0_099069_2019-03-18_final
2019-04-16 11:19:22	ga_ls8c_ard_3-1-0_110074_2019-04-16_final
2019-04-20 09:21:19	ga_ls8c_ard_3-0-0_090088_2019-04-19_final
2019-04-24 10:33:03	ga_ls8c_ard_3-0-0_102082_2019-04-24_final
2019-05-30 10:03:04	ga_ls8c_ard_3-0-0_098068_2019-05-30_final
2019-07-03 09:50:30	ga_ls8c_ard_3-1-0_096067_2019-07-03_final
2019-08-09 10:15:37	ga_ls8c_ard_3-1-0_099083_2019-08-09_final
2019-10-02 09:34:48	ga_ls8c_ard_3-1-0_093073_2019-10-02_final
2019-10-28 10:13:55	ga_ls8c_ard_3-1-0_099078_2019-10-28_final
2019-11-05 09:22:04	ga_ls8c_ard_3-1-0_091072_2019-11-04_final
2019-11-07 09:10:30	ga_ls8c_ard_3-1-0_089074_2019-11-06_final
2019-12-16 09:22:11	ga_ls8c_ard_3-2-0_090088_2019-12-15_final
2020-01-17 09:17:16	ga_ls8c_ard_3-1-0_090076_2020-01-16_final
2020-08-01 09:33:35	ga_ls8c_ard_3-1-0_093071_2020-08-01_final
2020-09-25 09:46:30	ga_ls8c_ard_3-1-0_094087_2020-09-25_final
2020-09-26 10:27:46	ga_ls8c_ard_3-1-0_101082_2020-09-26_final
2020-11-12 11:20:11	ga_ls8c_ard_3-1-0_110074_2020-11-12_final
2021-01-02 10:13:48	ga_ls8c_ard_3-2-0_099078_2021-01-02_final
2021-01-17 09:34:24	ga_ls8c_ard_3-2-0_092088_2021-01-17_final
2021-01-28 10:52:20	ga_ls8c_ard_3-2-0_105082_2021-01-28_final
2021-02-19 10:09:35	ga_ls8c_ard_3-2-0_099068_2021-02-19_final
2021-03-22 09:29:16	ga_ls8c_ard_3-2-0_092076_2021-03-21_final
2021-05-16 11:13:19	ga_ls8c_ard_3-2-0_109074_2021-05-16_final
2021-05-17 11:58:11	ga_ls8c_ard_3-2-0_116078_2021-05-17_final
2021-06-28 09:22:34	ga_ls8c_ard_3-2-0_090090_2021-06-27_final
2021-12-10 09:34:48	ga_ls8c_ard_3-2-1_093073_2021-12-10_final
2022-01-24 10:41:48	ga_ls8c_ard_3-2-1_104071_2022-01-24_final
2022-03-01 10:16:55	ga_ls8c_ard_3-2-1_100071_2022-03-01_final
2022-04-16 10:33:06	ga_ls8c_ard_3-2-1_102081_2022-04-16_final
2022-06-07 10:09:49	ga_ls8c_ard_3-2-1_098084_2022-06-07_final
2022-07-16 10:13:20	ga_ls8c_ard_3-2-1_099077_2022-07-16_final
2022-07-26 09:10:29	ga_ls8c_ard_3-2-1_089074_2022-07-25_final
2022-09-24 09:34:42	ga_ls8c_ard_3-2-1_093072_2022-09-24_final
2022-11-21 10:11:15	ga_ls8c_ard_3-2-1_099071_2022-11-21_final
2023-01-07 09:29:04	ga_ls8c_ard_3-2-1_092074_2023-01-06_final
2023-03-17 11:24:02	ga_ls8c_ard_3-2-1_111069_2023-03-17_final
2023-03-23 09:11:34	ga_ls8c_ard_3-2-1_089078_2023-03-22_final
2023-10-24 09:17:17	ga_ls8c_ard_3-2-1_090076_2023-10-23_final
2023-10-31 09:21:54	ga_ls8c_ard_3-2-1_091072_2023-10-30_final
2023-11-08 10:14:04	ga_ls8c_ard_3-2-1_099079_2023-11-08_final
2023-11-12 11:24:39	ga_ls8c_ard_3-2-1_111070_2023-11-12_final
2023-11-16 09:21:53	ga_ls8c_ard_3-2-1_091072_2023-11-15_final
2023-12-30 11:24:39	ga_ls8c_ard_3-2-1_111070_2023-12-30_final
2024-02-18 11:12:36	ga_ls8c_ard_3-2-1_109071_2024-02-18_final
2024-03-26 11:31:54	ga_ls8c_ard_3-2-1_112074_2024-03-26_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