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

86 results

Time (local)	Label
2013-04-01 10:14:01	ga_ls8c_ard_3-0-0_099083_2013-04-01_final
2013-04-05 11:06:15	ga_ls8c_ard_3-0-0_108074_2013-04-05_final
2013-07-08 09:19:29	ga_ls8c_ard_3-0-0_090077_2013-07-07_final
2013-08-07 09:36:16	ga_ls8c_ard_3-0-0_092088_2013-08-07_final
2013-08-17 10:11:21	ga_ls8c_ard_3-0-0_098083_2013-08-17_final
2013-09-10 09:24:18	ga_ls8c_ard_3-0-0_090089_2013-09-09_final
2013-11-02 09:40:58	ga_ls8c_ard_3-0-0_093085_2013-11-02_final
2013-12-04 11:13:45	ga_ls8c_ard_3-0-0_109070_2013-12-04_final
2013-12-08 09:13:44	ga_ls8c_ard_3-0-0_089079_2013-12-07_final
2014-01-05 11:19:04	ga_ls8c_ard_3-0-0_109084_2014-01-05_final
2014-03-05 10:54:33	ga_ls8c_ard_3-0-0_106071_2014-03-05_final
2014-10-07 10:04:20	ga_ls8c_ard_3-0-0_098070_2014-10-07_final
2014-10-16 11:41:52	ga_ls8c_ard_3-0-0_113082_2014-10-16_final
2014-11-28 09:40:25	ga_ls8c_ard_3-0-0_094072_2014-11-28_final
2014-12-10 10:04:39	ga_ls8c_ard_3-0-0_098071_2014-12-10_final
2015-01-13 09:56:13	ga_ls8c_ard_3-0-0_096081_2015-01-13_final
2015-01-15 11:23:32	ga_ls8c_ard_3-0-0_110083_2015-01-15_final
2015-01-18 11:52:24	ga_ls8c_ard_3-0-0_115078_2015-01-18_final
2015-04-09 10:52:10	ga_ls8c_ard_3-0-0_106068_2015-04-09_final
2015-06-26 09:33:34	ga_ls8c_ard_3-0-0_092088_2015-06-26_final
2015-08-22 09:23:02	ga_ls8c_ard_3-0-0_091076_2015-08-21_final
2015-12-13 10:04:16	ga_ls8c_ard_3-0-0_098070_2015-12-13_final
2016-03-03 10:52:05	ga_ls8c_ard_3-0-0_105082_2016-03-03_final
2016-04-15 10:28:03	ga_ls8c_ard_3-0-0_102069_2016-04-15_final
2016-04-16 09:33:13	ga_ls8c_ard_3-0-0_093071_2016-04-16_final
2016-05-20 11:02:57	ga_ls8c_ard_3-0-0_107079_2016-05-20_final
2016-06-15 10:00:27	ga_ls8c_ard_3-0-0_097077_2016-06-15_final
2016-06-15 10:01:39	ga_ls8c_ard_3-0-0_097080_2016-06-15_final
2016-06-18 10:28:35	ga_ls8c_ard_3-0-0_102070_2016-06-18_final
2016-07-12 09:46:08	ga_ls8c_ard_3-0-0_094087_2016-07-12_final
2016-12-14 09:23:09	ga_ls8c_ard_3-0-0_091075_2016-12-13_final
2016-12-22 10:11:22	ga_ls8c_ard_3-0-0_099072_2016-12-22_final
2017-03-16 09:46:31	ga_ls8c_ard_3-0-0_095073_2017-03-16_final
2017-04-13 10:09:00	ga_ls8c_ard_3-0-0_099068_2017-04-13_final
2017-05-02 10:43:42	ga_ls8c_ard_3-0-0_104078_2017-05-02_final
2017-06-11 11:31:09	ga_ls8c_ard_3-0-0_112072_2017-06-11_final
2017-07-31 11:17:04	ga_ls8c_ard_3-0-0_110067_2017-07-31_final
2017-09-21 09:22:03	ga_ls8c_ard_3-0-0_090088_2017-09-20_final
2018-01-20 10:46:37	ga_ls8c_ard_3-0-0_105068_2018-01-20_final
2018-03-03 09:45:18	ga_ls8c_ard_3-0-0_095070_2018-03-03_final
2018-03-12 11:17:30	ga_ls8c_ard_3-0-0_110069_2018-03-12_final
2018-03-17 09:57:31	ga_ls8c_ard_3-0-0_097070_2018-03-17_final
2018-05-15 11:16:56	ga_ls8c_ard_3-0-0_110069_2018-05-15_final
2018-07-23 11:37:40	ga_ls8c_ard_3-0-0_113074_2018-07-23_final
2018-08-01 11:30:46	ga_ls8c_ard_3-0-0_112072_2018-08-01_final
2018-09-25 11:38:32	ga_ls8c_ard_3-0-0_113075_2018-09-25_final
2019-02-18 11:24:13	ga_ls8c_ard_3-0-0_111070_2019-02-18_final
2019-05-18 09:39:25	ga_ls8c_ard_3-0-0_094071_2019-05-18_final
2019-07-05 09:38:09	ga_ls8c_ard_3-1-0_094067_2019-07-05_final
2019-07-08 10:10:15	ga_ls8c_ard_3-1-0_099070_2019-07-08_final
2019-08-18 10:10:17	ga_ls8c_ard_3-1-0_098085_2019-08-18_final
2019-10-10 10:28:15	ga_ls8c_ard_3-1-0_101083_2019-10-10_final
2019-11-08 09:58:09	ga_ls8c_ard_3-1-0_096085_2019-11-08_final
2019-12-12 11:23:00	ga_ls8c_ard_3-1-0_110081_2019-12-12_final
2020-02-02 09:21:58	ga_ls8c_ard_3-1-0_090088_2020-02-01_final
2020-02-14 09:39:52	ga_ls8c_ard_3-1-0_094071_2020-02-14_final
2020-02-25 09:22:28	ga_ls8c_ard_3-1-0_091074_2020-02-24_final
2020-03-03 11:11:05	ga_ls8c_ard_3-1-0_108083_2020-03-03_final
2020-05-04 11:19:44	ga_ls8c_ard_3-1-0_110075_2020-05-04_final
2020-05-28 10:29:31	ga_ls8c_ard_3-1-0_102073_2020-05-28_final
2020-06-12 11:22:55	ga_ls8c_ard_3-1-0_111067_2020-06-12_final
2020-06-17 10:03:25	ga_ls8c_ard_3-1-0_098069_2020-06-17_final
2020-07-01 10:19:53	ga_ls8c_ard_3-1-0_100079_2020-07-01_final
2020-09-09 09:40:26	ga_ls8c_ard_3-1-0_094072_2020-09-09_final
2021-01-25 10:19:50	ga_ls8c_ard_3-2-0_100078_2021-01-25_final
2021-02-14 11:32:21	ga_ls8c_ard_3-2-0_112074_2021-02-14_final
2021-03-09 11:41:57	ga_ls8c_ard_3-2-0_113083_2021-03-09_final
2021-06-21 09:11:35	ga_ls8c_ard_3-2-0_089078_2021-06-20_final
2021-06-25 10:26:57	ga_ls8c_ard_3-2-0_101081_2021-06-25_final
2021-09-15 10:10:13	ga_ls8c_ard_3-2-0_099069_2021-09-15_final
2021-09-26 11:31:47	ga_ls8c_ard_3-2-0_112072_2021-09-26_final
2021-12-05 09:21:51	ga_ls8c_ard_3-2-0_090087_2021-12-04_final
2022-01-24 09:06:54	ga_ls8c_ard_3-2-1_088081_2022-01-23_final
2022-03-06 10:39:50	ga_ls8c_ard_3-2-1_103082_2022-03-06_final
2022-04-02 11:58:19	ga_ls8c_ard_3-2-1_116078_2022-04-02_final
2022-07-27 11:31:50	ga_ls8c_ard_3-2-1_112072_2022-07-27_final
2022-08-21 09:47:20	ga_ls8c_ard_3-2-1_095073_2022-08-21_final
2022-08-30 11:20:02	ga_ls8c_ard_3-2-1_110073_2022-08-30_final
2022-12-11 11:30:36	ga_ls8c_ard_3-2-1_111084_2022-12-11_final
2022-12-13 11:14:38	ga_ls8c_ard_3-2-1_109075_2022-12-13_final
2022-12-31 09:23:42	ga_ls8c_ard_3-2-1_091076_2022-12-30_final
2023-02-14 10:29:33	ga_ls8c_ard_3-2-1_102071_2023-02-14_final
2023-05-02 10:01:01	ga_ls8c_ard_3-2-1_097079_2023-05-02_final
2023-05-27 09:52:41	ga_ls8c_ard_3-2-1_096074_2023-05-27_final
2023-07-26 11:57:58	ga_ls8c_ard_3-2-1_116077_2023-07-26_final
2024-01-21 09:11:48	ga_ls8c_ard_3-2-1_089078_2024-01-20_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