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

76 results

Time (local)	Label
2013-04-12 09:13:47	ga_ls8c_ard_3-0-0_089078_2013-04-11_final
2014-01-21 09:35:35	ga_ls8c_ard_3-0-0_093073_2014-01-21_final
2014-02-09 10:04:17	ga_ls8c_ard_3-0-0_098068_2014-02-09_final
2014-06-18 09:09:50	ga_ls8c_ard_3-0-0_089074_2014-06-17_final
2014-07-09 09:27:42	ga_ls8c_ard_3-0-0_092072_2014-07-08_final
2014-08-10 09:28:42	ga_ls8c_ard_3-0-0_092074_2014-08-09_final
2014-12-06 10:29:01	ga_ls8c_ard_3-0-0_102070_2014-12-06_final
2015-02-20 09:17:19	ga_ls8c_ard_3-0-0_090077_2015-02-19_final
2015-04-09 09:20:28	ga_ls8c_ard_3-0-0_090086_2015-04-08_final
2015-05-11 10:51:27	ga_ls8c_ard_3-0-0_106067_2015-05-11_final
2015-07-18 10:32:49	ga_ls8c_ard_3-0-0_102081_2015-07-18_final
2015-12-24 11:24:14	ga_ls8c_ard_3-0-0_111069_2015-12-24_final
2016-03-25 11:52:56	ga_ls8c_ard_3-0-0_115080_2016-03-25_final
2016-04-02 09:19:44	ga_ls8c_ard_3-0-0_091068_2016-04-01_final
2016-06-14 09:17:12	ga_ls8c_ard_3-0-0_090077_2016-06-13_final
2016-07-14 09:28:36	ga_ls8c_ard_3-0-0_092074_2016-07-13_final
2016-09-16 09:28:54	ga_ls8c_ard_3-0-0_092074_2016-09-15_final
2016-11-30 09:10:27	ga_ls8c_ard_3-0-0_089074_2016-11-29_final
2017-01-07 10:09:19	ga_ls8c_ard_3-0-0_099067_2017-01-07_final
2017-01-22 09:27:59	ga_ls8c_ard_3-0-0_092072_2017-01-21_final
2017-04-28 09:27:58	ga_ls8c_ard_3-0-0_092074_2017-04-27_final
2017-06-01 09:16:42	ga_ls8c_ard_3-0-0_090076_2017-05-31_final
2017-07-31 11:20:16	ga_ls8c_ard_3-0-0_110075_2017-07-31_final
2017-08-04 09:22:16	ga_ls8c_ard_3-0-0_090089_2017-08-03_final
2017-10-26 09:51:06	ga_ls8c_ard_3-0-0_095083_2017-10-26_final
2017-11-19 10:40:04	ga_ls8c_ard_3-0-0_103082_2017-11-19_final
2018-05-06 09:44:43	ga_ls8c_ard_3-0-0_095070_2018-05-06_final
2018-05-17 11:06:56	ga_ls8c_ard_3-0-0_108075_2018-05-17_final
2018-07-04 09:27:44	ga_ls8c_ard_3-0-0_092074_2018-07-03_final
2018-08-05 11:07:17	ga_ls8c_ard_3-0-0_108075_2018-08-05_final
2018-08-12 11:13:32	ga_ls8c_ard_3-1-0_109075_2018-08-12_final
2018-08-21 09:28:08	ga_ls8c_ard_3-0-0_092074_2018-08-20_final
2019-03-01 11:07:38	ga_ls8c_ard_3-0-0_108075_2019-03-01_final
2019-04-20 09:16:08	ga_ls8c_ard_3-0-0_090075_2019-04-19_final
2019-05-11 09:33:58	ga_ls8c_ard_3-0-0_093073_2019-05-11_final
2019-08-24 09:28:50	ga_ls8c_ard_3-1-0_092074_2019-08-23_final
2019-12-22 10:21:34	ga_ls8c_ard_3-1-0_100082_2019-12-22_final
2019-12-25 10:49:40	ga_ls8c_ard_3-1-0_105075_2019-12-25_final
2020-02-18 09:21:55	ga_ls8c_ard_3-1-0_090088_2020-02-17_final
2020-02-23 11:17:43	ga_ls8c_ard_3-1-0_109084_2020-02-23_final
2020-03-09 10:28:46	ga_ls8c_ard_3-1-0_102070_2020-03-09_final
2020-03-14 10:48:52	ga_ls8c_ard_3-1-0_105074_2020-03-14_final
2020-06-23 09:28:23	ga_ls8c_ard_3-1-0_092074_2020-06-22_final
2020-10-02 11:26:00	ga_ls8c_ard_3-1-0_111073_2020-10-02_final
2021-01-02 10:16:35	ga_ls8c_ard_3-2-0_099085_2021-01-02_final
2021-02-27 09:23:41	ga_ls8c_ard_3-2-0_091077_2021-02-26_final
2021-03-04 11:17:04	ga_ls8c_ard_3-2-0_110067_2021-03-04_final
2021-03-04 11:18:16	ga_ls8c_ard_3-2-0_110070_2021-03-04_final
2021-04-09 10:52:31	ga_ls8c_ard_3-2-0_106068_2021-04-09_final
2021-05-03 10:02:04	ga_ls8c_ard_3-2-1_098066_2021-05-03_final
2021-06-12 09:22:06	ga_ls8c_ard_3-2-0_090089_2021-06-11_final
2021-06-12 09:22:30	ga_ls8c_ard_3-2-0_090090_2021-06-11_final
2021-06-15 11:24:19	ga_ls8c_ard_3-2-0_111070_2021-06-15_final
2021-07-01 11:23:59	ga_ls8c_ard_3-2-0_111069_2021-07-01_final
2021-09-30 09:34:12	ga_ls8c_ard_3-2-0_092087_2021-09-30_final
2021-12-05 09:21:27	ga_ls8c_ard_3-2-0_090086_2021-12-04_final
2022-01-11 11:13:58	ga_ls8c_ard_3-2-1_109074_2022-01-11_final
2022-03-12 11:37:37	ga_ls8c_ard_3-2-1_113072_2022-03-12_final
2022-06-07 10:09:49	ga_ls8c_ard_3-2-1_098084_2022-06-07_final
2022-07-22 11:14:50	ga_ls8c_ard_3-2-1_109076_2022-07-22_final
2022-08-14 09:40:44	ga_ls8c_ard_3-2-1_094072_2022-08-14_final
2022-08-18 09:17:38	ga_ls8c_ard_3-2-1_090076_2022-08-17_final
2022-11-20 11:08:04	ga_ls8c_ard_3-2-1_108074_2022-11-20_final
2023-02-22 09:39:57	ga_ls8c_ard_3-2-1_094071_2023-02-22_final
2023-02-25 10:11:11	ga_ls8c_ard_3-2-1_099072_2023-02-25_final
2023-03-06 10:09:45	ga_ls8c_ard_3-2-1_098084_2023-03-06_final
2023-03-13 10:09:30	ga_ls8c_ard_3-2-1_099068_2023-03-13_final
2023-03-21 09:22:46	ga_ls8c_ard_3-2-1_091075_2023-03-20_final
2023-05-31 09:27:58	ga_ls8c_ard_3-2-1_092074_2023-05-30_final
2023-08-01 09:39:40	ga_ls8c_ard_3-2-1_094071_2023-08-01_final
2023-08-05 09:20:33	ga_ls8c_ard_3-2-1_090085_2023-08-04_final
2023-08-10 11:13:59	ga_ls8c_ard_3-2-1_109075_2023-08-10_final
2023-11-12 09:46:09	ga_ls8c_ard_3-2-1_095071_2023-11-12_final
2023-11-23 09:34:06	ga_ls8c_ard_3-2-1_092087_2023-11-23_final
2023-12-29 09:07:42	ga_ls8c_ard_3-2-1_088083_2023-12-28_final
2024-01-12 09:17:37	ga_ls8c_ard_3-2-1_090077_2024-01-11_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