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
2014-01-22 10:20:26	ga_ls8c_ard_3-0-0_100077_2014-01-22_final
2014-06-05 09:37:52	ga_ls8c_ard_3-0-0_094067_2014-06-05_final
2014-06-12 09:46:30	ga_ls8c_ard_3-0-0_095073_2014-06-12_final
2014-07-30 09:46:21	ga_ls8c_ard_3-0-0_095072_2014-07-30_final
2014-09-12 10:13:40	ga_ls8c_ard_3-0-0_099078_2014-09-12_final
2014-09-28 10:13:38	ga_ls8c_ard_3-0-0_099078_2014-09-28_final
2014-11-10 11:31:42	ga_ls8c_ard_3-0-0_112072_2014-11-10_final
2014-11-25 10:47:12	ga_ls8c_ard_3-0-0_105069_2014-11-25_final
2014-11-25 10:49:11	ga_ls8c_ard_3-0-0_105074_2014-11-25_final
2014-11-28 11:23:42	ga_ls8c_ard_3-0-0_110083_2014-11-28_final
2014-12-14 11:18:24	ga_ls8c_ard_3-0-0_110070_2014-12-14_final
2015-01-17 09:28:40	ga_ls8c_ard_3-0-0_092074_2015-01-16_final
2015-04-14 09:38:37	ga_ls8c_ard_3-0-0_093085_2015-04-14_final
2015-05-10 10:12:11	ga_ls8c_ard_3-0-0_099077_2015-05-10_final
2015-08-20 09:33:47	ga_ls8c_ard_3-0-0_093072_2015-08-20_final
2015-11-22 09:52:32	ga_ls8c_ard_3-0-0_095087_2015-11-22_final
2015-12-20 10:11:16	ga_ls8c_ard_3-0-0_099072_2015-12-20_final
2016-01-20 11:08:02	ga_ls8c_ard_3-0-0_108075_2016-01-20_final
2016-04-07 09:39:51	ga_ls8c_ard_3-0-0_094072_2016-04-07_final
2016-07-14 09:28:36	ga_ls8c_ard_3-0-0_092074_2016-07-13_final
2016-07-28 09:38:14	ga_ls8c_ard_3-0-0_094067_2016-07-28_final
2016-11-12 09:29:12	ga_ls8c_ard_3-0-0_091090_2016-11-11_final
2017-01-15 09:22:14	ga_ls8c_ard_3-0-0_091073_2017-01-14_final
2017-03-03 10:19:32	ga_ls8c_ard_3-0-0_100078_2017-03-03_final
2017-03-09 11:16:54	ga_ls8c_ard_3-0-0_110067_2017-03-09_final
2017-05-14 09:28:05	ga_ls8c_ard_3-0-0_092074_2017-05-13_final
2017-07-24 09:32:21	ga_ls8c_ard_3-0-0_093068_2017-07-24_final
2017-09-17 09:40:21	ga_ls8c_ard_3-0-0_094072_2017-09-17_final
2017-11-14 10:19:33	ga_ls8c_ard_3-0-0_100077_2017-11-14_final
2017-11-22 09:28:04	ga_ls8c_ard_3-0-0_092072_2017-11-21_final
2017-11-22 11:07:45	ga_ls8c_ard_3-0-0_108074_2017-11-22_final
2017-12-17 09:21:52	ga_ls8c_ard_3-0-0_091072_2017-12-16_final
2018-01-07 09:40:20	ga_ls8c_ard_3-0-0_094072_2018-01-07_final
2018-02-10 09:27:42	ga_ls8c_ard_3-0-0_092072_2018-02-09_final
2018-02-10 09:28:30	ga_ls8c_ard_3-0-0_092074_2018-02-09_final
2018-02-27 10:09:39	ga_ls8c_ard_3-0-0_099069_2018-02-27_final
2018-03-12 11:17:30	ga_ls8c_ard_3-0-0_110069_2018-03-12_final
2018-03-28 11:17:23	ga_ls8c_ard_3-0-0_110069_2018-03-28_final
2018-04-15 09:27:59	ga_ls8c_ard_3-0-0_092074_2018-04-14_final
2018-04-21 10:32:31	ga_ls8c_ard_3-0-0_102081_2018-04-21_final
2018-06-25 11:13:07	ga_ls8c_ard_3-1-0_109075_2018-06-25_final
2018-07-11 09:33:11	ga_ls8c_ard_3-0-0_093072_2018-07-11_final
2018-09-22 09:27:31	ga_ls8c_ard_3-0-0_092072_2018-09-21_final
2018-10-28 10:45:55	ga_ls8c_ard_3-0-0_104082_2018-10-28_final
2018-11-16 09:33:59	ga_ls8c_ard_3-0-0_093072_2018-11-16_final
2018-12-06 10:49:18	ga_ls8c_ard_3-0-0_105075_2018-12-06_final
2018-12-11 09:28:32	ga_ls8c_ard_3-0-0_092074_2018-12-10_final
2019-03-17 09:28:15	ga_ls8c_ard_3-1-0_092074_2019-03-16_final
2019-03-26 09:21:39	ga_ls8c_ard_3-1-0_091073_2019-03-25_final
2019-06-27 10:33:09	ga_ls8c_ard_3-1-0_102081_2019-06-27_final
2019-08-13 11:24:37	ga_ls8c_ard_3-1-0_111070_2019-08-13_final
2019-09-26 10:13:27	ga_ls8c_ard_3-1-0_099077_2019-09-26_final
2019-11-15 11:38:00	ga_ls8c_ard_3-1-0_113072_2019-11-15_final
2019-11-17 11:24:50	ga_ls8c_ard_3-1-0_111070_2019-11-17_final
2019-12-31 10:10:57	ga_ls8c_ard_3-1-0_099071_2019-12-31_final
2020-01-24 11:00:18	ga_ls8c_ard_3-1-0_107071_2020-01-24_final
2020-03-19 09:28:29	ga_ls8c_ard_3-1-0_092074_2020-03-18_final
2020-05-27 11:25:09	ga_ls8c_ard_3-1-0_111073_2020-05-27_final
2020-06-03 09:57:18	ga_ls8c_ard_3-1-0_096085_2020-06-03_final
2020-07-04 10:49:36	ga_ls8c_ard_3-1-0_105076_2020-07-04_final
2020-07-23 11:19:49	ga_ls8c_ard_3-1-0_110074_2020-07-23_final
2020-09-02 11:14:41	ga_ls8c_ard_3-1-0_109076_2020-09-02_final
2020-10-11 11:18:15	ga_ls8c_ard_3-1-0_110069_2020-10-11_final
2020-10-21 11:58:55	ga_ls8c_ard_3-1-0_116078_2020-10-21_final
2020-10-29 09:28:59	ga_ls8c_ard_3-1-0_092074_2020-10-28_final
2021-01-21 10:46:09	ga_ls8c_ard_3-2-0_104082_2021-01-21_final
2021-06-12 09:22:06	ga_ls8c_ard_3-2-0_090089_2021-06-11_final
2021-06-15 11:29:31	ga_ls8c_ard_3-2-0_111083_2021-06-15_final
2021-06-17 09:33:53	ga_ls8c_ard_3-2-0_093072_2021-06-17_final
2021-07-08 09:58:05	ga_ls8c_ard_3-2-0_096086_2021-07-08_final
2021-07-21 11:05:19	ga_ls8c_ard_3-2-0_107084_2021-07-21_final
2021-08-24 09:11:54	ga_ls8c_ard_3-2-0_089078_2021-08-23_final
2021-10-14 09:38:39	ga_ls8c_ard_3-2-0_094067_2021-10-14_final
2022-01-03 10:23:20	ga_ls8c_ard_3-2-1_101071_2022-01-03_final
2022-01-13 09:21:55	ga_ls8c_ard_3-2-1_091072_2022-01-12_final
2022-02-06 10:13:15	ga_ls8c_ard_3-2-1_099077_2022-02-06_final
2022-02-27 10:28:06	ga_ls8c_ard_3-2-1_102068_2022-02-27_final
2022-03-04 09:11:44	ga_ls8c_ard_3-2-1_089078_2022-03-03_final
2022-03-15 10:33:11	ga_ls8c_ard_3-2-1_102081_2022-03-15_final
2022-03-16 09:34:46	ga_ls8c_ard_3-2-1_093074_2022-03-16_final
2022-04-17 09:33:53	ga_ls8c_ard_3-2-1_093072_2022-04-17_final
2022-09-08 11:14:18	ga_ls8c_ard_3-2-1_109074_2022-09-08_final
2022-10-02 10:24:31	ga_ls8c_ard_3-2-1_101073_2022-10-02_final
2022-11-06 09:17:44	ga_ls8c_ard_3-2-1_090076_2022-11-05_final
2022-12-17 10:47:04	ga_ls8c_ard_3-2-1_105068_2022-12-17_final
2023-01-16 09:21:59	ga_ls8c_ard_3-2-1_091072_2023-01-15_final
2023-02-15 11:12:00	ga_ls8c_ard_3-2-1_109069_2023-02-15_final
2023-03-17 11:25:38	ga_ls8c_ard_3-2-1_111073_2023-03-17_final
2023-05-03 10:45:28	ga_ls8c_ard_3-2-1_104082_2023-05-03_final
2023-06-07 11:13:31	ga_ls8c_ard_3-2-1_109075_2023-06-07_final
2023-07-25 09:33:48	ga_ls8c_ard_3-2-1_093072_2023-07-25_final
2023-09-29 09:23:00	ga_ls8c_ard_3-2-1_091075_2023-09-28_final
2023-11-15 11:57:35	ga_ls8c_ard_3-2-1_116075_2023-11-15_final
2023-12-02 09:22:16	ga_ls8c_ard_3-2-1_091073_2023-12-01_final
2023-12-17 10:19:30	ga_ls8c_ard_3-2-1_100077_2023-12-17_final
2023-12-26 10:09:44	ga_ls8c_ard_3-2-1_099068_2023-12-26_final
2024-01-17 09:33:46	ga_ls8c_ard_3-2-1_093071_2024-01-17_final
2024-02-13 10:53:40	ga_ls8c_ard_3-2-1_106070_2024-02-13_final
2024-02-20 09:22:57	ga_ls8c_ard_3-2-1_091075_2024-02-19_final
2024-03-02 09:07:05	ga_ls8c_ard_3-2-1_088082_2024-03-01_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