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

99 results

Time (local)	Label
2013-05-13 11:49:22	ga_ls8c_ard_3-0-0_114081_2013-05-13_final
2013-07-18 10:00:08	ga_ls8c_ard_3-0-0_096086_2013-07-18_final
2014-11-23 09:22:15	ga_ls8c_ard_3-0-0_091073_2014-11-22_final
2014-12-09 09:22:12	ga_ls8c_ard_3-0-0_091073_2014-12-08_final
2015-01-01 09:28:41	ga_ls8c_ard_3-0-0_092074_2014-12-31_final
2015-01-11 10:08:35	ga_ls8c_ard_3-0-0_098081_2015-01-11_final
2015-01-13 11:31:31	ga_ls8c_ard_3-0-0_112072_2015-01-13_final
2015-02-21 11:37:28	ga_ls8c_ard_3-0-0_113072_2015-02-21_final
2015-03-01 10:48:46	ga_ls8c_ard_3-0-0_105074_2015-03-01_final
2015-03-31 09:21:31	ga_ls8c_ard_3-0-0_091073_2015-03-30_final
2015-05-16 09:33:03	ga_ls8c_ard_3-0-0_093072_2015-05-16_final
2015-05-27 10:54:39	ga_ls8c_ard_3-0-0_106075_2015-05-27_final
2015-07-17 09:45:34	ga_ls8c_ard_3-0-0_095071_2015-07-17_final
2015-08-19 10:33:00	ga_ls8c_ard_3-0-0_102081_2015-08-19_final
2015-08-20 09:34:11	ga_ls8c_ard_3-0-0_093073_2015-08-20_final
2015-10-30 11:18:01	ga_ls8c_ard_3-0-0_110069_2015-10-30_final
2015-11-25 11:57:56	ga_ls8c_ard_3-0-0_116076_2015-11-25_final
2015-11-28 09:10:40	ga_ls8c_ard_3-0-0_089075_2015-11-27_final
2015-12-21 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-12-20_final
2016-02-14 09:20:02	ga_ls8c_ard_3-0-0_091068_2016-02-13_final
2016-04-25 09:28:10	ga_ls8c_ard_3-0-0_092074_2016-04-24_final
2016-07-05 09:33:31	ga_ls8c_ard_3-0-0_093071_2016-07-05_final
2016-08-23 11:57:31	ga_ls8c_ard_3-0-0_116075_2016-08-23_final
2016-08-23 11:57:55	ga_ls8c_ard_3-0-0_116076_2016-08-23_final
2016-11-10 09:33:58	ga_ls8c_ard_3-0-0_093071_2016-11-10_final
2016-11-21 09:22:38	ga_ls8c_ard_3-0-0_090089_2016-11-20_final
2016-12-05 09:28:11	ga_ls8c_ard_3-0-0_092072_2016-12-04_final
2017-01-23 11:53:19	ga_ls8c_ard_3-0-0_115080_2017-01-23_final
2017-04-30 10:54:28	ga_ls8c_ard_3-0-0_106074_2017-04-30_final
2017-06-24 11:03:54	ga_ls8c_ard_3-0-0_107081_2017-06-24_final
2017-12-01 09:20:14	ga_ls8c_ard_3-0-0_091068_2017-11-30_final
2018-02-02 11:57:39	ga_ls8c_ard_3-0-0_116076_2018-02-02_final
2018-02-17 09:33:50	ga_ls8c_ard_3-0-0_093072_2018-02-17_final
2018-02-21 09:09:53	ga_ls8c_ard_3-0-0_089074_2018-02-20_final
2018-04-16 11:52:30	ga_ls8c_ard_3-0-0_115080_2018-04-16_final
2018-04-18 11:36:56	ga_ls8c_ard_3-0-0_113072_2018-04-18_final
2018-05-19 10:54:33	ga_ls8c_ard_3-0-0_106075_2018-05-19_final
2018-05-28 10:48:15	ga_ls8c_ard_3-0-0_105075_2018-05-28_final
2018-07-06 09:15:48	ga_ls8c_ard_3-0-0_090075_2018-07-05_final
2018-07-25 11:23:19	ga_ls8c_ard_3-0-0_111069_2018-07-25_final
2018-10-22 11:17:47	ga_ls8c_ard_3-0-0_110069_2018-10-22_final
2018-12-20 09:22:21	ga_ls8c_ard_3-0-0_091074_2018-12-19_final
2019-02-11 11:17:40	ga_ls8c_ard_3-0-0_110069_2019-02-11_final
2019-03-06 09:45:16	ga_ls8c_ard_3-0-0_095070_2019-03-06_final
2019-04-20 10:55:01	ga_ls8c_ard_3-0-0_106075_2019-04-20_final
2019-06-01 11:31:12	ga_ls8c_ard_3-0-0_112072_2019-06-01_final
2019-06-13 11:57:12	ga_ls8c_ard_3-1-0_116075_2019-06-13_final
2019-09-18 09:22:22	ga_ls8c_ard_3-1-0_091073_2019-09-17_final
2019-10-04 09:22:27	ga_ls8c_ard_3-1-0_091073_2019-10-03_final
2019-10-07 09:58:33	ga_ls8c_ard_3-1-0_096086_2019-10-07_final
2019-10-22 10:49:48	ga_ls8c_ard_3-1-0_105075_2019-10-22_final
2019-10-27 09:29:03	ga_ls8c_ard_3-1-0_092074_2019-10-26_final
2019-11-04 11:57:46	ga_ls8c_ard_3-1-0_116075_2019-11-04_final
2019-12-07 09:22:00	ga_ls8c_ard_3-1-0_091072_2019-12-06_final
2020-01-01 10:55:48	ga_ls8c_ard_3-1-0_106075_2020-01-01_final
2020-02-02 10:55:16	ga_ls8c_ard_3-1-0_106074_2020-02-02_final
2020-02-03 11:37:43	ga_ls8c_ard_3-1-0_113072_2020-02-03_final
2020-03-07 09:07:03	ga_ls8c_ard_3-1-0_088082_2020-03-06_final
2020-04-02 09:43:30	ga_ls8c_ard_3-1-0_094081_2020-04-02_final
2020-04-25 09:51:55	ga_ls8c_ard_3-1-0_095087_2020-04-25_final
2020-04-29 09:21:10	ga_ls8c_ard_3-1-0_091072_2020-04-28_final
2020-06-26 11:37:23	ga_ls8c_ard_3-1-0_113072_2020-06-26_final
2020-07-11 10:55:50	ga_ls8c_ard_3-1-0_106076_2020-07-11_final
2020-08-13 11:37:38	ga_ls8c_ard_3-1-0_113072_2020-08-13_final
2020-08-29 11:37:47	ga_ls8c_ard_3-1-0_113072_2020-08-29_final
2020-10-17 09:07:52	ga_ls8c_ard_3-1-0_088083_2020-10-16_final
2020-11-01 11:37:58	ga_ls8c_ard_3-1-0_113072_2020-11-01_final
2021-01-04 11:37:55	ga_ls8c_ard_3-2-0_113072_2021-01-04_final
2021-01-11 10:04:21	ga_ls8c_ard_3-2-0_098070_2021-01-11_final
2021-01-26 09:21:49	ga_ls8c_ard_3-2-0_091072_2021-01-25_final
2021-03-24 09:16:54	ga_ls8c_ard_3-2-0_090076_2021-03-23_final
2021-04-11 10:45:44	ga_ls8c_ard_3-2-0_104082_2021-04-11_final
2021-07-23 10:48:59	ga_ls8c_ard_3-2-0_105074_2021-07-23_final
2021-10-25 09:25:18	ga_ls8c_ard_3-2-0_091080_2021-10-24_final
2021-11-03 09:17:31	ga_ls8c_ard_3-2-0_090076_2021-11-02_final
2021-12-03 09:28:14	ga_ls8c_ard_3-2-0_092072_2021-12-02_final
2021-12-23 09:06:39	ga_ls8c_ard_3-2-1_088080_2021-12-22_final
2022-01-11 09:33:53	ga_ls8c_ard_3-2-1_093071_2022-01-11_final
2022-01-18 09:40:26	ga_ls8c_ard_3-2-1_094072_2022-01-18_final
2022-01-29 09:21:49	ga_ls8c_ard_3-2-1_091072_2022-01-28_final
2022-03-21 11:31:20	ga_ls8c_ard_3-2-1_112072_2022-03-21_final
2022-04-08 11:17:42	ga_ls8c_ard_3-2-1_110069_2022-04-08_final
2022-06-04 09:37:16	ga_ls8c_ard_3-2-1_093080_2022-06-04_final
2022-08-18 10:56:07	ga_ls8c_ard_3-2-1_106075_2022-08-18_final
2022-09-28 10:49:39	ga_ls8c_ard_3-2-1_105074_2022-09-28_final
2023-01-04 10:35:28	ga_ls8c_ard_3-2-1_103070_2023-01-04_final
2023-01-07 11:08:21	ga_ls8c_ard_3-2-1_108075_2023-01-07_final
2023-01-10 09:59:33	ga_ls8c_ard_3-2-1_097073_2023-01-10_final
2023-02-03 09:10:30	ga_ls8c_ard_3-2-1_089074_2023-02-02_final
2023-03-31 11:41:02	ga_ls8c_ard_3-2-1_113081_2023-03-31_final
2023-05-17 10:54:50	ga_ls8c_ard_3-2-1_106075_2023-05-17_final
2023-07-29 10:49:37	ga_ls8c_ard_3-2-1_105076_2023-07-29_final
2023-08-14 09:10:01	ga_ls8c_ard_3-2-1_089074_2023-08-13_final
2023-08-28 09:22:29	ga_ls8c_ard_3-2-1_091074_2023-08-27_final
2023-10-10 09:07:41	ga_ls8c_ard_3-2-1_088083_2023-10-09_final
2023-10-31 09:22:42	ga_ls8c_ard_3-2-1_091074_2023-10-30_final
2023-11-17 11:47:38	ga_ls8c_ard_3-2-1_114081_2023-11-17_final
2024-01-19 11:00:16	ga_ls8c_ard_3-2-1_107071_2024-01-19_final
2024-04-22 09:33:30	ga_ls8c_ard_3-2-1_093072_2024-04-22_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