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
2013-06-15 10:51:47	ga_ls8c_ard_3-0-0_105076_2013-06-15_final
2013-07-17 10:54:10	ga_ls8c_ard_3-0-0_105082_2013-07-17_final
2013-09-01 09:24:08	ga_ls8c_ard_3-0-0_091073_2013-08-31_final
2014-02-27 11:32:09	ga_ls8c_ard_3-0-0_112072_2014-02-27_final
2014-10-16 09:57:48	ga_ls8c_ard_3-0-0_097069_2014-10-16_final
2014-11-23 09:27:26	ga_ls8c_ard_3-0-0_091086_2014-11-22_final
2014-12-17 11:51:19	ga_ls8c_ard_3-0-0_115075_2014-12-17_final
2015-05-21 09:50:50	ga_ls8c_ard_3-0-0_096070_2015-05-21_final
2015-05-28 09:56:14	ga_ls8c_ard_3-0-0_097068_2015-05-28_final
2015-07-23 09:11:42	ga_ls8c_ard_3-0-0_089079_2015-07-22_final
2015-07-29 10:08:45	ga_ls8c_ard_3-0-0_099067_2015-07-29_final
2015-08-02 09:52:01	ga_ls8c_ard_3-0-0_095087_2015-08-02_final
2015-09-19 09:45:34	ga_ls8c_ard_3-0-0_095070_2015-09-19_final
2016-02-15 11:44:58	ga_ls8c_ard_3-0-0_114075_2016-02-15_final
2016-03-15 11:14:21	ga_ls8c_ard_3-0-0_109076_2016-03-15_final
2016-07-21 09:34:01	ga_ls8c_ard_3-0-0_093072_2016-07-21_final
2017-02-21 11:23:24	ga_ls8c_ard_3-0-0_110083_2017-02-21_final
2017-03-31 09:06:43	ga_ls8c_ard_3-0-0_088082_2017-03-30_final
2017-04-23 10:48:46	ga_ls8c_ard_3-0-0_105075_2017-04-23_final
2017-05-30 09:29:03	ga_ls8c_ard_3-0-0_092076_2017-05-29_final
2017-08-01 10:27:50	ga_ls8c_ard_3-0-0_101083_2017-08-01_final
2017-08-29 09:10:37	ga_ls8c_ard_3-0-0_089075_2017-08-28_final
2017-10-12 11:14:48	ga_ls8c_ard_3-0-0_109076_2017-10-12_final
2018-01-12 09:58:03	ga_ls8c_ard_3-0-0_097070_2018-01-12_final
2018-01-26 10:09:52	ga_ls8c_ard_3-0-0_099069_2018-01-26_final
2018-03-31 10:08:35	ga_ls8c_ard_3-0-0_099067_2018-03-31_final
2018-04-11 11:28:50	ga_ls8c_ard_3-0-0_112067_2018-04-11_final
2018-06-03 11:49:59	ga_ls8c_ard_3-0-0_115075_2018-06-03_final
2018-07-22 09:21:06	ga_ls8c_ard_3-0-0_090088_2018-07-21_final
2018-12-04 09:24:47	ga_ls8c_ard_3-0-0_091080_2018-12-03_final
2018-12-20 09:25:09	ga_ls8c_ard_3-0-0_091081_2018-12-19_final
2019-02-23 10:09:27	ga_ls8c_ard_3-0-0_098084_2019-02-23_final
2019-03-31 09:40:34	ga_ls8c_ard_3-1-0_094074_2019-03-31_final
2019-05-25 11:26:33	ga_ls8c_ard_3-0-0_111076_2019-05-25_final
2019-05-28 10:18:36	ga_ls8c_ard_3-0-0_100076_2019-05-28_final
2019-07-28 11:24:31	ga_ls8c_ard_3-1-0_111070_2019-07-28_final
2019-10-14 09:57:33	ga_ls8c_ard_3-1-0_097068_2019-10-14_final
2019-11-19 11:13:15	ga_ls8c_ard_3-1-0_109072_2019-11-19_final
2020-01-26 09:13:26	ga_ls8c_ard_3-1-0_089082_2020-01-25_final
2020-02-19 10:00:47	ga_ls8c_ard_3-1-0_097077_2020-02-19_final
2020-03-13 10:03:37	ga_ls8c_ard_3-1-0_098069_2020-03-13_final
2020-05-17 10:49:14	ga_ls8c_ard_3-1-0_105076_2020-05-17_final
2020-07-02 09:26:15	ga_ls8c_ard_3-1-0_091084_2020-07-01_final
2020-10-11 11:20:14	ga_ls8c_ard_3-1-0_110074_2020-10-11_final
2020-11-19 09:52:18	ga_ls8c_ard_3-1-0_095086_2020-11-19_final
2020-11-23 11:01:41	ga_ls8c_ard_3-1-0_107074_2020-11-23_final
2020-11-23 11:05:17	ga_ls8c_ard_3-1-0_107083_2020-11-23_final
2021-09-22 10:17:36	ga_ls8c_ard_3-2-0_100072_2021-09-22_final
2021-10-24 10:22:32	ga_ls8c_ard_3-2-0_100084_2021-10-24_final
2021-12-24 11:29:11	ga_ls8c_ard_3-2-1_111081_2021-12-24_final
2022-01-31 09:14:39	ga_ls8c_ard_3-2-1_089085_2022-01-30_final
2022-02-04 10:23:37	ga_ls8c_ard_3-2-1_101072_2022-02-04_final
2022-02-06 11:53:20	ga_ls8c_ard_3-2-1_115080_2022-02-06_final
2022-02-10 11:24:36	ga_ls8c_ard_3-2-1_111070_2022-02-10_final
2022-03-02 09:27:41	ga_ls8c_ard_3-2-1_091087_2022-03-01_final
2022-03-16 09:33:58	ga_ls8c_ard_3-2-1_093072_2022-03-16_final
2022-03-16 09:40:21	ga_ls8c_ard_3-2-1_093088_2022-03-16_final
2022-05-14 09:16:37	ga_ls8c_ard_3-2-1_090075_2022-05-13_final
2022-06-22 09:28:41	ga_ls8c_ard_3-2-1_091089_2022-06-21_final
2022-09-19 09:23:20	ga_ls8c_ard_3-2-1_090090_2022-09-18_final
2022-12-17 09:14:34	ga_ls8c_ard_3-2-1_089084_2022-12-16_final
2023-01-09 09:17:29	ga_ls8c_ard_3-2-1_090076_2023-01-08_final
2023-01-25 09:22:15	ga_ls8c_ard_3-2-1_090088_2023-01-24_final
2023-04-07 10:06:36	ga_ls8c_ard_3-2-1_098077_2023-04-07_final
2023-05-08 09:21:51	ga_ls8c_ard_3-2-1_091074_2023-05-07_final
2023-05-15 11:09:13	ga_ls8c_ard_3-2-1_108080_2023-05-15_final
2023-05-26 10:49:07	ga_ls8c_ard_3-2-1_105076_2023-05-26_final
2023-07-17 10:25:11	ga_ls8c_ard_3-2-1_101077_2023-07-17_final
2023-09-06 09:21:27	ga_ls8c_ard_3-2-1_090087_2023-09-05_final
2023-09-07 10:01:07	ga_ls8c_ard_3-2-1_097078_2023-09-07_final
2023-11-19 11:32:30	ga_ls8c_ard_3-2-1_112074_2023-11-19_final
2023-12-07 11:19:35	ga_ls8c_ard_3-2-1_110073_2023-12-07_final
2024-01-05 10:49:52	ga_ls8c_ard_3-2-1_105076_2024-01-05_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