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

68 results

Time (local)	Label
2013-04-16 10:24:54	ga_ls8c_ard_3-0-0_101071_2013-04-16_final
2013-06-21 10:11:26	ga_ls8c_ard_3-0-0_099068_2013-06-21_final
2013-07-18 10:00:08	ga_ls8c_ard_3-0-0_096086_2013-07-18_final
2013-08-08 10:11:56	ga_ls8c_ard_3-0-0_099069_2013-08-08_final
2014-06-05 11:16:45	ga_ls8c_ard_3-0-0_110067_2014-06-05_final
2014-08-17 09:40:06	ga_ls8c_ard_3-0-0_093087_2014-08-17_final
2014-08-27 11:51:17	ga_ls8c_ard_3-0-0_115075_2014-08-27_final
2014-09-28 10:13:14	ga_ls8c_ard_3-0-0_099077_2014-09-28_final
2014-10-16 10:04:11	ga_ls8c_ard_3-0-0_097085_2014-10-16_final
2015-03-27 09:43:54	ga_ls8c_ard_3-0-0_095067_2015-03-27_final
2015-05-27 09:21:45	ga_ls8c_ard_3-0-0_090090_2015-05-26_final
2015-10-25 09:25:21	ga_ls8c_ard_3-0-0_091081_2015-10-24_final
2016-03-25 11:50:56	ga_ls8c_ard_3-0-0_115075_2016-03-25_final
2016-09-03 09:57:22	ga_ls8c_ard_3-0-0_097068_2016-09-03_final
2016-09-11 10:49:14	ga_ls8c_ard_3-0-0_105074_2016-09-11_final
2016-10-18 11:11:28	ga_ls8c_ard_3-0-0_108083_2016-10-18_final
2016-11-03 09:28:12	ga_ls8c_ard_3-0-0_092072_2016-11-02_final
2016-11-26 11:17:39	ga_ls8c_ard_3-0-0_109083_2016-11-26_final
2017-02-28 11:25:57	ga_ls8c_ard_3-0-0_111074_2017-02-28_final
2017-03-24 10:34:40	ga_ls8c_ard_3-0-0_103070_2017-03-24_final
2017-06-26 10:46:22	ga_ls8c_ard_3-0-0_105068_2017-06-26_final
2017-10-11 10:33:32	ga_ls8c_ard_3-0-0_102081_2017-10-11_final
2017-11-01 10:52:30	ga_ls8c_ard_3-0-0_105082_2017-11-01_final
2018-02-13 10:00:35	ga_ls8c_ard_3-0-0_097077_2018-02-13_final
2018-02-16 10:27:52	ga_ls8c_ard_3-1-0_102068_2018-02-16_final
2018-05-26 11:03:50	ga_ls8c_ard_3-0-0_107083_2018-05-26_final
2018-06-16 09:38:43	ga_ls8c_ard_3-0-0_094071_2018-06-16_final
2018-07-24 09:06:21	ga_ls8c_ard_3-0-0_088082_2018-07-23_final
2018-12-06 09:16:00	ga_ls8c_ard_3-0-0_089089_2018-12-05_final
2019-04-25 11:13:54	ga_ls8c_ard_3-0-0_109076_2019-04-25_final
2019-08-04 09:57:51	ga_ls8c_ard_3-1-0_096085_2019-08-04_final
2019-08-20 11:32:25	ga_ls8c_ard_3-1-0_112074_2019-08-20_final
2019-09-20 09:12:25	ga_ls8c_ard_3-1-0_089079_2019-09-19_final
2019-09-21 09:57:41	ga_ls8c_ard_3-1-0_096084_2019-09-21_final
2019-11-30 10:53:07	ga_ls8c_ard_3-1-0_106068_2019-11-30_final
2019-12-15 11:52:42	ga_ls8c_ard_3-2-0_115078_2019-12-15_final
2020-01-29 11:17:13	ga_ls8c_ard_3-1-0_110067_2020-01-29_final
2020-04-05 10:09:35	ga_ls8c_ard_3-1-0_099069_2020-04-05_final
2020-04-19 10:25:03	ga_ls8c_ard_3-1-0_101077_2020-04-19_final
2020-10-24 10:49:20	ga_ls8c_ard_3-1-0_105074_2020-10-24_final
2020-12-18 10:54:20	ga_ls8c_ard_3-2-0_106071_2020-12-18_final
2021-01-29 09:53:07	ga_ls8c_ard_3-2-0_096073_2021-01-29_final
2021-02-27 11:04:57	ga_ls8c_ard_3-2-0_107083_2021-02-27_final
2021-02-28 10:04:08	ga_ls8c_ard_3-2-0_098070_2021-02-28_final
2021-04-12 09:46:31	ga_ls8c_ard_3-2-0_095073_2021-04-12_final
2021-04-12 09:51:42	ga_ls8c_ard_3-2-0_095086_2021-04-12_final
2021-05-20 10:49:02	ga_ls8c_ard_3-2-0_105075_2021-05-20_final
2021-06-22 09:57:14	ga_ls8c_ard_3-2-0_096084_2021-06-22_final
2021-07-13 10:09:50	ga_ls8c_ard_3-2-0_099069_2021-07-13_final
2021-12-09 10:34:01	ga_ls8c_ard_3-2-1_102082_2021-12-09_final
2021-12-25 10:28:46	ga_ls8c_ard_3-2-1_102069_2021-12-25_final
2022-04-12 09:20:07	ga_ls8c_ard_3-2-1_090084_2022-04-11_final
2022-07-12 10:39:40	ga_ls8c_ard_3-2-1_103081_2022-07-12_final
2022-07-27 11:32:38	ga_ls8c_ard_3-2-1_112074_2022-07-27_final
2022-10-20 10:10:54	ga_ls8c_ard_3-2-1_099070_2022-10-20_final
2022-11-21 10:11:39	ga_ls8c_ard_3-2-1_099072_2022-11-21_final
2023-04-05 10:17:00	ga_ls8c_ard_3-2-1_100072_2023-04-05_final
2023-07-23 11:23:50	ga_ls8c_ard_3-2-1_111069_2023-07-23_final
2023-09-09 09:46:48	ga_ls8c_ard_3-2-1_095073_2023-09-09_final
2023-10-17 09:16:16	ga_ls8c_ard_3-2-1_089089_2023-10-16_final
2023-10-23 11:52:35	ga_ls8c_ard_3-2-1_115078_2023-10-23_final
2023-11-07 09:32:49	ga_ls8c_ard_3-2-1_092084_2023-11-07_final
2023-11-18 09:13:56	ga_ls8c_ard_3-2-1_089083_2023-11-17_final
2023-12-03 10:05:07	ga_ls8c_ard_3-2-1_098072_2023-12-03_final
2023-12-27 10:58:10	ga_ls8c_ard_3-2-1_106081_2023-12-27_final
2024-01-11 10:14:50	ga_ls8c_ard_3-2-1_099081_2024-01-11_final
2024-02-09 09:46:19	ga_ls8c_ard_3-2-1_094087_2024-02-09_final
2024-04-24 09:27:07	ga_ls8c_ard_3-2-1_091087_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