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
2013-06-09 09:48:25	ga_ls8c_ard_3-0-0_095072_2013-06-09_final
2013-08-16 11:04:10	ga_ls8c_ard_3-0-0_107076_2013-08-16_final
2013-08-19 11:33:53	ga_ls8c_ard_3-0-0_112073_2013-08-19_final
2013-10-13 09:59:50	ga_ls8c_ard_3-0-0_097070_2013-10-13_final
2014-02-06 09:35:26	ga_ls8c_ard_3-0-0_093073_2014-02-06_final
2014-03-01 09:38:52	ga_ls8c_ard_3-0-0_094067_2014-03-01_final
2014-10-14 10:13:21	ga_ls8c_ard_3-0-0_099077_2014-10-14_final
2014-10-27 09:40:01	ga_ls8c_ard_3-0-0_094071_2014-10-27_final
2015-01-18 10:10:20	ga_ls8c_ard_3-0-0_099070_2015-01-18_final
2015-01-22 11:24:27	ga_ls8c_ard_3-0-0_111070_2015-01-22_final
2015-03-23 10:09:04	ga_ls8c_ard_3-0-0_099068_2015-03-23_final
2015-05-02 11:04:10	ga_ls8c_ard_3-0-0_107083_2015-05-02_final
2015-06-24 09:43:08	ga_ls8c_ard_3-0-0_094081_2015-06-24_final
2015-07-19 09:33:37	ga_ls8c_ard_3-0-0_093072_2015-07-19_final
2015-08-04 09:33:16	ga_ls8c_ard_3-0-0_093071_2015-08-04_final
2015-09-30 09:27:52	ga_ls8c_ard_3-0-0_092072_2015-09-29_final
2015-10-05 11:24:31	ga_ls8c_ard_3-0-0_111070_2015-10-05_final
2015-11-25 11:57:32	ga_ls8c_ard_3-0-0_116075_2015-11-25_final
2016-01-09 09:45:40	ga_ls8c_ard_3-0-0_095070_2016-01-09_final
2016-01-16 11:30:45	ga_ls8c_ard_3-0-0_112070_2016-01-16_final
2016-01-25 09:46:29	ga_ls8c_ard_3-0-0_095072_2016-01-25_final
2016-02-22 11:53:06	ga_ls8c_ard_3-0-0_115080_2016-02-22_final
2016-03-20 09:51:10	ga_ls8c_ard_3-0-0_096069_2016-03-20_final
2016-03-25 10:13:15	ga_ls8c_ard_3-0-0_099078_2016-03-25_final
2016-03-31 09:34:06	ga_ls8c_ard_3-0-0_093073_2016-03-31_final
2016-07-22 10:19:17	ga_ls8c_ard_3-0-0_100077_2016-07-22_final
2016-08-17 10:58:51	ga_ls8c_ard_3-0-0_106083_2016-08-17_final
2016-10-25 09:34:00	ga_ls8c_ard_3-0-0_093071_2016-10-25_final
2016-11-08 09:45:56	ga_ls8c_ard_3-0-0_095070_2016-11-08_final
2017-01-11 11:24:16	ga_ls8c_ard_3-0-0_111069_2017-01-11_final
2017-01-29 09:33:43	ga_ls8c_ard_3-0-0_093071_2017-01-29_final
2017-03-18 09:33:20	ga_ls8c_ard_3-0-0_093071_2017-03-18_final
2017-04-13 11:52:41	ga_ls8c_ard_3-0-0_115080_2017-04-13_final
2017-06-16 10:09:38	ga_ls8c_ard_3-0-0_099069_2017-06-16_final
2017-07-15 11:23:43	ga_ls8c_ard_3-0-0_110084_2017-07-15_final
2017-11-18 11:31:42	ga_ls8c_ard_3-0-0_112072_2017-11-18_final
2017-11-25 11:37:50	ga_ls8c_ard_3-0-0_113072_2017-11-25_final
2017-12-15 09:34:13	ga_ls8c_ard_3-0-0_093072_2017-12-15_final
2018-02-11 11:53:02	ga_ls8c_ard_3-0-0_115080_2018-02-11_final
2018-02-12 10:53:01	ga_ls8c_ard_3-0-0_106069_2018-02-12_final
2018-02-27 10:10:03	ga_ls8c_ard_3-0-0_099070_2018-02-27_final
2018-03-03 09:45:18	ga_ls8c_ard_3-0-0_095070_2018-03-03_final
2018-03-09 10:48:38	ga_ls8c_ard_3-0-0_105074_2018-03-09_final
2018-03-21 09:33:58	ga_ls8c_ard_3-0-0_093073_2018-03-21_final
2018-07-09 09:45:08	ga_ls8c_ard_3-0-0_095071_2018-07-09_final
2018-07-09 09:50:43	ga_ls8c_ard_3-0-0_095085_2018-07-09_final
2018-11-16 09:34:23	ga_ls8c_ard_3-0-0_093073_2018-11-16_final
2019-03-29 11:29:49	ga_ls8c_ard_3-1-0_112069_2019-03-29_final
2019-04-07 09:51:54	ga_ls8c_ard_3-1-0_095087_2019-04-07_final
2019-04-09 09:33:57	ga_ls8c_ard_3-1-0_093073_2019-04-09_final
2019-05-07 11:41:55	ga_ls8c_ard_3-0-0_113084_2019-05-07_final
2019-05-26 10:33:20	ga_ls8c_ard_3-0-0_102082_2019-05-26_final
2019-07-22 10:22:40	ga_ls8c_ard_3-1-0_101070_2019-07-22_final
2019-08-06 11:24:23	ga_ls8c_ard_3-1-0_110085_2019-08-06_final
2019-08-07 10:22:47	ga_ls8c_ard_3-1-0_101070_2019-08-07_final
2019-09-30 09:45:57	ga_ls8c_ard_3-1-0_095070_2019-09-30_final
2020-01-27 09:52:42	ga_ls8c_ard_3-1-0_096072_2020-01-27_final
2020-01-27 11:31:35	ga_ls8c_ard_3-1-0_112072_2020-01-27_final
2020-02-08 10:19:45	ga_ls8c_ard_3-1-0_100078_2020-02-08_final
2020-05-02 11:30:07	ga_ls8c_ard_3-1-0_112070_2020-05-02_final
2020-06-23 09:34:22	ga_ls8c_ard_3-1-0_092089_2020-06-23_final
2020-06-24 10:13:15	ga_ls8c_ard_3-1-0_099078_2020-06-24_final
2020-08-09 10:27:03	ga_ls8c_ard_3-1-0_101081_2020-08-09_final
2020-10-25 11:31:00	ga_ls8c_ard_3-1-0_112070_2020-10-25_final
2020-10-27 11:18:14	ga_ls8c_ard_3-1-0_110069_2020-10-27_final
2020-11-16 12:31:34	ga_ls8c_ard_3-2-1_122067_2020-11-16_final
2020-12-07 09:34:00	ga_ls8c_ard_3-1-0_093071_2020-12-07_final
2021-03-24 09:16:54	ga_ls8c_ard_3-2-0_090076_2021-03-23_final
2021-05-10 10:13:03	ga_ls8c_ard_3-2-0_099078_2021-05-10_final
2021-05-14 09:45:11	ga_ls8c_ard_3-2-0_095070_2021-05-14_final
2021-06-12 09:22:30	ga_ls8c_ard_3-2-0_090090_2021-06-11_final
2021-06-13 09:57:00	ga_ls8c_ard_3-2-0_097068_2021-06-13_final
2021-07-12 11:09:27	ga_ls8c_ard_3-2-0_108079_2021-07-12_final
2021-08-22 09:22:16	ga_ls8c_ard_3-2-0_091073_2021-08-21_final
2021-09-04 10:31:30	ga_ls8c_ard_3-2-0_102076_2021-09-04_final
2021-11-11 10:07:19	ga_ls8c_ard_3-2-0_098077_2021-11-11_final
2021-11-17 09:26:12	ga_ls8c_ard_3-2-0_092067_2021-11-16_final
2022-01-07 09:57:49	ga_ls8c_ard_3-2-1_097069_2022-01-07_final
2022-03-27 09:22:52	ga_ls8c_ard_3-2-1_090091_2022-03-26_final
2022-05-16 09:07:28	ga_ls8c_ard_3-2-1_088083_2022-05-15_final
2022-07-04 09:52:38	ga_ls8c_ard_3-2-1_095087_2022-07-04_final
2022-09-04 11:42:58	ga_ls8c_ard_3-2-1_113084_2022-09-04_final
2022-09-11 10:03:33	ga_ls8c_ard_3-2-1_098067_2022-09-11_final
2022-09-13 11:32:05	ga_ls8c_ard_3-2-1_112072_2022-09-13_final
2022-10-05 09:17:18	ga_ls8c_ard_3-2-1_090075_2022-10-04_final
2022-11-18 09:40:44	ga_ls8c_ard_3-2-1_094072_2022-11-18_final
2023-02-03 10:47:23	ga_ls8c_ard_3-2-1_105069_2023-02-03_final
2023-02-15 09:33:55	ga_ls8c_ard_3-2-1_093071_2023-02-15_final
2023-02-27 09:58:01	ga_ls8c_ard_3-2-1_097070_2023-02-27_final
2023-03-13 10:13:30	ga_ls8c_ard_3-2-1_099078_2023-03-13_final
2023-03-30 10:58:34	ga_ls8c_ard_3-2-1_106083_2023-03-30_final
2023-05-31 09:27:10	ga_ls8c_ard_3-2-1_092072_2023-05-30_final
2023-06-03 09:56:30	ga_ls8c_ard_3-2-1_097068_2023-06-03_final
2023-07-05 11:42:05	ga_ls8c_ard_3-2-1_113084_2023-07-05_final
2023-09-28 10:19:25	ga_ls8c_ard_3-2-1_100077_2023-09-28_final
2023-11-02 10:50:01	ga_ls8c_ard_3-2-1_105076_2023-11-02_final
2023-11-24 11:53:27	ga_ls8c_ard_3-2-1_115080_2023-11-24_final
2024-01-18 11:57:30	ga_ls8c_ard_3-2-1_116075_2024-01-18_final
2024-01-21 10:49:29	ga_ls8c_ard_3-2-1_105075_2024-01-21_final
2024-02-12 10:13:13	ga_ls8c_ard_3-2-1_099077_2024-02-12_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