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

First 100 results (query limit)

Time (local)	Label
2013-05-31 09:59:26	ga_ls8c_ard_3-0-0_096084_2013-05-31_final
2013-10-13 09:59:50	ga_ls8c_ard_3-0-0_097070_2013-10-13_final
2014-02-26 10:52:54	ga_ls8c_ard_3-0-0_105082_2014-02-26_final
2014-06-10 09:56:51	ga_ls8c_ard_3-0-0_097068_2014-06-10_final
2014-06-21 09:39:56	ga_ls8c_ard_3-0-0_094072_2014-06-21_final
2014-09-25 09:40:18	ga_ls8c_ard_3-0-0_094072_2014-09-25_final
2015-01-07 10:28:55	ga_ls8c_ard_3-0-0_102070_2015-01-07_final
2015-01-13 11:31:31	ga_ls8c_ard_3-0-0_112072_2015-01-13_final
2015-03-11 11:22:56	ga_ls8c_ard_3-0-0_111067_2015-03-11_final
2015-04-07 09:28:02	ga_ls8c_ard_3-0-0_092074_2015-04-06_final
2015-06-02 10:18:50	ga_ls8c_ard_3-0-0_100078_2015-06-02_final
2015-07-10 09:39:43	ga_ls8c_ard_3-0-0_094072_2015-07-10_final
2015-08-27 09:38:01	ga_ls8c_ard_3-0-0_094067_2015-08-27_final
2015-12-13 11:41:57	ga_ls8c_ard_3-0-0_114067_2015-12-13_final
2015-12-24 11:24:14	ga_ls8c_ard_3-0-0_111069_2015-12-24_final
2016-02-04 10:27:31	ga_ls8c_ard_3-0-0_101082_2016-02-04_final
2016-04-07 11:17:32	ga_ls8c_ard_3-0-0_110069_2016-04-07_final
2016-04-10 10:12:44	ga_ls8c_ard_3-0-0_099077_2016-04-10_final
2016-05-11 09:27:24	ga_ls8c_ard_3-0-0_092072_2016-05-10_final
2016-09-09 09:22:42	ga_ls8c_ard_3-0-0_091074_2016-09-08_final
2016-09-16 09:28:54	ga_ls8c_ard_3-0-0_092074_2016-09-15_final
2016-11-08 11:24:25	ga_ls8c_ard_3-0-0_111069_2016-11-08_final
2016-12-24 11:37:53	ga_ls8c_ard_3-0-0_113072_2016-12-24_final
2016-12-26 11:25:07	ga_ls8c_ard_3-0-0_111071_2016-12-26_final
2017-01-01 10:49:37	ga_ls8c_ard_3-0-0_105075_2017-01-01_final
2017-02-03 11:29:54	ga_ls8c_ard_3-0-0_112068_2017-02-03_final
2017-07-01 09:34:02	ga_ls8c_ard_3-0-0_092088_2017-07-01_final
2017-07-31 11:20:16	ga_ls8c_ard_3-0-0_110075_2017-07-31_final
2017-08-26 10:19:23	ga_ls8c_ard_3-0-0_100077_2017-08-26_final
2017-11-18 09:51:37	ga_ls8c_ard_3-0-0_096069_2017-11-18_final
2017-12-13 09:52:33	ga_ls8c_ard_3-0-0_095087_2017-12-13_final
2018-01-10 11:52:30	ga_ls8c_ard_3-0-0_115078_2018-01-10_final
2018-05-25 10:18:35	ga_ls8c_ard_3-0-0_100078_2018-05-25_final
2018-10-18 11:41:41	ga_ls8c_ard_3-0-0_114067_2018-10-18_final
2018-12-20 09:27:33	ga_ls8c_ard_3-0-0_091087_2018-12-19_final
2019-02-18 11:23:49	ga_ls8c_ard_3-0-0_111069_2019-02-18_final
2019-03-01 11:07:38	ga_ls8c_ard_3-0-0_108075_2019-03-01_final
2019-07-05 11:17:50	ga_ls8c_ard_3-1-0_110069_2019-07-05_final
2019-08-13 11:24:13	ga_ls8c_ard_3-1-0_111069_2019-08-13_final
2019-10-09 09:40:36	ga_ls8c_ard_3-1-0_094072_2019-10-09_final
2019-10-16 11:24:53	ga_ls8c_ard_3-1-0_111070_2019-10-16_final
2019-12-28 09:40:04	ga_ls8c_ard_3-1-0_094071_2019-12-28_final
2020-03-01 11:18:16	ga_ls8c_ard_3-1-0_110070_2020-03-01_final
2020-03-04 10:14:15	ga_ls8c_ard_3-1-0_099080_2020-03-04_final
2020-05-17 10:48:50	ga_ls8c_ard_3-1-0_105075_2020-05-17_final
2020-06-07 09:34:37	ga_ls8c_ard_3-1-0_092090_2020-06-07_final
2020-06-12 11:23:42	ga_ls8c_ard_3-1-0_111069_2020-06-12_final
2020-08-08 11:19:52	ga_ls8c_ard_3-1-0_110074_2020-08-08_final
2020-09-27 09:28:10	ga_ls8c_ard_3-1-0_092072_2020-09-26_final
2020-10-02 11:24:48	ga_ls8c_ard_3-1-0_111070_2020-10-02_final
2020-10-20 09:33:59	ga_ls8c_ard_3-1-0_093071_2020-10-20_final
2020-10-22 09:23:13	ga_ls8c_ard_3-1-0_091075_2020-10-21_final
2020-10-25 09:51:43	ga_ls8c_ard_3-1-0_096069_2020-10-25_final
2020-11-23 11:02:29	ga_ls8c_ard_3-1-0_107076_2020-11-23_final
2020-12-20 10:44:21	ga_ls8c_ard_3-2-0_104077_2020-12-20_final
2021-01-01 09:29:20	ga_ls8c_ard_3-2-0_092075_2020-12-31_final
2021-01-02 10:11:24	ga_ls8c_ard_3-2-0_099072_2021-01-02_final
2021-02-19 10:13:34	ga_ls8c_ard_3-2-0_099078_2021-02-19_final
2021-03-04 11:17:04	ga_ls8c_ard_3-2-0_110067_2021-03-04_final
2021-03-11 11:24:23	ga_ls8c_ard_3-2-0_111070_2021-03-11_final
2021-06-01 09:34:11	ga_ls8c_ard_3-2-0_093073_2021-06-01_final
2021-07-01 09:45:54	ga_ls8c_ard_3-2-0_095071_2021-07-01_final
2021-07-07 10:49:42	ga_ls8c_ard_3-2-0_105076_2021-07-07_final
2021-07-23 09:11:18	ga_ls8c_ard_3-2-0_089077_2021-07-22_final
2021-08-05 11:57:28	ga_ls8c_ard_3-2-0_116075_2021-08-05_final
2021-08-21 11:57:58	ga_ls8c_ard_3-2-0_116076_2021-08-21_final
2021-09-21 11:14:49	ga_ls8c_ard_3-2-0_109076_2021-09-21_final
2021-09-28 11:18:15	ga_ls8c_ard_3-2-0_110069_2021-09-28_final
2021-11-24 09:32:48	ga_ls8c_ard_3-2-0_093068_2021-11-24_final
2022-01-21 10:09:43	ga_ls8c_ard_3-2-1_099068_2022-01-21_final
2022-05-08 09:58:02	ga_ls8c_ard_3-2-1_096086_2022-05-08_final
2022-05-18 10:33:12	ga_ls8c_ard_3-2-1_102081_2022-05-18_final
2022-07-03 09:07:47	ga_ls8c_ard_3-2-1_088083_2022-07-02_final
2022-08-02 10:56:01	ga_ls8c_ard_3-2-1_106075_2022-08-02_final
2022-09-10 09:22:17	ga_ls8c_ard_3-2-1_091072_2022-09-09_final
2022-10-07 10:43:01	ga_ls8c_ard_3-2-1_104073_2022-10-07_final
2022-10-10 11:14:16	ga_ls8c_ard_3-2-1_109074_2022-10-10_final
2022-10-15 09:57:29	ga_ls8c_ard_3-2-1_096083_2022-10-15_final
2022-11-26 10:34:13	ga_ls8c_ard_3-2-1_102082_2022-11-26_final
2022-12-20 11:21:07	ga_ls8c_ard_3-2-1_110076_2022-12-20_final
2023-01-26 11:38:01	ga_ls8c_ard_3-2-1_113072_2023-01-26_final
2023-01-29 10:29:39	ga_ls8c_ard_3-2-1_102071_2023-01-29_final
2023-05-02 09:56:14	ga_ls8c_ard_3-2-1_097067_2023-05-02_final
2023-06-05 11:23:51	ga_ls8c_ard_3-2-1_111070_2023-06-05_final
2023-06-21 11:24:21	ga_ls8c_ard_3-2-1_111071_2023-06-21_final
2023-07-13 09:09:49	ga_ls8c_ard_3-2-1_089074_2023-07-12_final
2023-08-27 11:57:23	ga_ls8c_ard_3-2-1_116075_2023-08-27_final
2023-09-24 09:06:49	ga_ls8c_ard_3-2-1_088081_2023-09-23_final
2023-10-02 11:31:36	ga_ls8c_ard_3-2-1_112072_2023-10-02_final
2023-10-27 11:24:18	ga_ls8c_ard_3-2-1_111069_2023-10-27_final
2023-11-10 09:56:53	ga_ls8c_ard_3-2-1_097067_2023-11-10_final
2023-11-10 09:57:41	ga_ls8c_ard_3-2-1_097069_2023-11-10_final
2023-12-02 09:23:04	ga_ls8c_ard_3-2-1_091075_2023-12-01_final
2023-12-20 09:10:44	ga_ls8c_ard_3-2-1_089075_2023-12-19_final
2024-01-03 09:22:11	ga_ls8c_ard_3-2-1_091073_2024-01-02_final
2024-01-05 09:12:11	ga_ls8c_ard_3-2-1_089079_2024-01-04_final
2024-01-10 11:08:03	ga_ls8c_ard_3-2-1_108075_2024-01-10_final
2024-01-11 10:13:14	ga_ls8c_ard_3-2-1_099077_2024-01-11_final
2024-01-24 11:19:33	ga_ls8c_ard_3-2-1_110073_2024-01-24_final
2024-02-20 09:21:45	ga_ls8c_ard_3-2-1_091072_2024-02-19_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years