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

77 results

Time (local)	Label
2013-04-26 09:29:25	ga_ls8c_ard_3-0-0_091087_2013-04-25_final
2013-05-31 09:59:50	ga_ls8c_ard_3-0-0_096085_2013-05-31_final
2013-06-02 11:19:58	ga_ls8c_ard_3-0-0_110069_2013-06-02_final
2013-06-28 10:21:39	ga_ls8c_ard_3-0-0_100078_2013-06-28_final
2014-05-20 09:42:56	ga_ls8c_ard_3-0-0_094080_2014-05-20_final
2014-06-01 10:06:56	ga_ls8c_ard_3-0-0_098078_2014-06-01_final
2014-07-11 09:16:57	ga_ls8c_ard_3-0-0_090076_2014-07-10_final
2014-07-11 10:52:15	ga_ls8c_ard_3-0-0_106067_2014-07-11_final
2014-08-17 09:40:06	ga_ls8c_ard_3-0-0_093087_2014-08-17_final
2014-09-05 10:07:04	ga_ls8c_ard_3-0-0_098077_2014-09-05_final
2014-10-30 11:52:57	ga_ls8c_ard_3-0-0_115079_2014-10-30_final
2014-11-03 11:23:30	ga_ls8c_ard_3-0-0_111067_2014-11-03_final
2014-11-05 11:14:20	ga_ls8c_ard_3-1-0_109075_2014-11-05_final
2014-11-26 11:31:39	ga_ls8c_ard_3-0-0_112072_2014-11-26_final
2014-12-27 09:10:36	ga_ls8c_ard_3-0-0_089075_2014-12-26_final
2015-01-12 10:46:39	ga_ls8c_ard_3-0-0_105068_2015-01-12_final
2015-03-14 10:19:18	ga_ls8c_ard_3-0-0_100078_2015-03-14_final
2015-03-18 11:35:03	ga_ls8c_ard_3-0-0_112082_2015-03-18_final
2015-07-28 11:08:21	ga_ls8c_ard_3-0-0_108077_2015-07-28_final
2015-12-27 10:17:26	ga_ls8c_ard_3-0-0_100072_2015-12-27_final
2016-02-22 10:15:24	ga_ls8c_ard_3-0-0_099083_2016-02-22_final
2016-04-10 10:09:09	ga_ls8c_ard_3-0-0_099068_2016-04-10_final
2016-04-26 10:08:39	ga_ls8c_ard_3-0-0_099067_2016-04-26_final
2016-05-12 10:10:39	ga_ls8c_ard_3-0-0_099072_2016-05-12_final
2016-07-14 11:07:53	ga_ls8c_ard_3-0-0_108075_2016-07-14_final
2016-09-11 09:12:20	ga_ls8c_ard_3-0-0_089079_2016-09-10_final
2016-09-19 11:41:05	ga_ls8c_ard_3-0-0_113080_2016-09-19_final
2016-11-14 10:46:57	ga_ls8c_ard_3-0-0_105068_2016-11-14_final
2016-11-18 10:25:25	ga_ls8c_ard_3-0-0_101076_2016-11-18_final
2017-02-28 09:47:28	ga_ls8c_ard_3-0-0_095075_2017-02-28_final
2017-04-04 10:17:39	ga_ls8c_ard_3-0-0_100074_2017-04-04_final
2017-04-28 09:33:09	ga_ls8c_ard_3-0-0_092087_2017-04-28_final
2017-07-11 10:07:08	ga_ls8c_ard_3-0-0_098078_2017-07-11_final
2017-07-24 11:13:38	ga_ls8c_ard_3-0-0_109074_2017-07-24_final
2017-12-29 09:52:34	ga_ls8c_ard_3-0-0_095087_2017-12-29_final
2018-01-17 11:57:49	ga_ls8c_ard_3-0-0_116076_2018-01-17_final
2018-02-09 10:27:43	ga_ls8c_ard_3-0-0_101083_2018-02-09_final
2018-03-10 09:50:12	ga_ls8c_ard_3-0-0_096067_2018-03-10_final
2018-03-28 11:16:36	ga_ls8c_ard_3-0-0_110067_2018-03-28_final
2018-08-28 11:14:03	ga_ls8c_ard_3-0-0_109076_2018-08-28_final
2018-11-10 11:52:44	ga_ls8c_ard_3-0-0_115079_2018-11-10_final
2019-01-27 10:25:16	ga_ls8c_ard_3-0-0_101077_2019-01-27_final
2019-06-01 09:50:19	ga_ls8c_ard_3-0-0_096067_2019-06-01_final
2019-06-18 10:34:53	ga_ls8c_ard_3-1-0_103070_2019-06-18_final
2020-02-01 10:10:01	ga_ls8c_ard_3-1-0_099069_2020-02-01_final
2020-02-14 09:41:03	ga_ls8c_ard_3-1-0_094074_2020-02-14_final
2020-02-23 11:14:07	ga_ls8c_ard_3-1-0_109075_2020-02-23_final
2020-03-12 09:28:45	ga_ls8c_ard_3-1-0_091090_2020-03-11_final
2020-04-06 10:53:39	ga_ls8c_ard_3-1-0_106071_2020-04-06_final
2020-04-20 09:33:25	ga_ls8c_ard_3-1-0_092087_2020-04-20_final
2020-05-13 09:39:02	ga_ls8c_ard_3-1-0_093086_2020-05-13_final
2020-06-01 10:09:14	ga_ls8c_ard_3-1-0_098084_2020-06-01_final
2020-06-28 09:46:33	ga_ls8c_ard_3-1-0_095073_2020-06-28_final
2020-07-04 10:50:24	ga_ls8c_ard_3-1-0_105078_2020-07-04_final
2021-02-21 10:00:24	ga_ls8c_ard_3-2-0_097076_2021-02-21_final
2021-02-24 10:33:17	ga_ls8c_ard_3-2-0_102081_2021-02-24_final
2021-03-17 10:48:50	ga_ls8c_ard_3-2-0_105074_2021-03-17_final
2021-03-19 10:39:15	ga_ls8c_ard_3-2-0_103081_2021-03-19_final
2021-05-14 11:24:04	ga_ls8c_ard_3-2-0_111070_2021-05-14_final
2021-06-02 10:18:15	ga_ls8c_ard_3-2-0_100075_2021-06-02_final
2021-09-04 10:28:19	ga_ls8c_ard_3-2-0_102068_2021-09-04_final
2021-09-06 10:19:09	ga_ls8c_ard_3-2-0_100076_2021-09-06_final
2022-03-17 10:17:13	ga_ls8c_ard_3-2-1_100072_2022-03-17_final
2022-03-27 10:55:22	ga_ls8c_ard_3-2-1_106075_2022-03-27_final
2022-06-24 10:49:14	ga_ls8c_ard_3-2-1_105074_2022-06-24_final
2022-08-26 11:47:57	ga_ls8c_ard_3-2-1_114081_2022-08-26_final
2022-12-04 09:40:47	ga_ls8c_ard_3-2-1_094072_2022-12-04_final
2023-03-15 09:57:56	ga_ls8c_ard_3-2-1_097070_2023-03-15_final
2023-06-10 11:46:26	ga_ls8c_ard_3-2-1_114080_2023-06-10_final
2023-06-25 11:01:40	ga_ls8c_ard_3-2-1_107076_2023-06-25_final
2023-07-11 12:37:09	ga_ls8c_ard_3-2-1_123067_2023-07-11_final
2023-07-14 09:57:29	ga_ls8c_ard_3-2-1_096085_2023-07-14_final
2023-08-21 10:57:09	ga_ls8c_ard_3-2-1_106079_2023-08-21_final
2024-01-10 11:06:04	ga_ls8c_ard_3-2-1_108070_2024-01-10_final
2024-02-13 09:22:22	ga_ls8c_ard_3-2-1_090089_2024-02-12_final
2024-03-23 10:59:53	ga_ls8c_ard_3-2-1_107071_2024-03-23_final
2024-04-11 11:35:02	ga_ls8c_ard_3-2-1_112082_2024-04-11_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