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
2013-06-23 11:39:34	ga_ls8c_ard_3-0-0_113072_2013-06-23_final
2013-06-25 09:53:55	ga_ls8c_ard_3-0-0_095086_2013-06-25_final
2013-12-11 11:19:30	ga_ls8c_ard_3-0-0_110069_2013-12-11_final
2014-02-16 11:54:02	ga_ls8c_ard_3-0-0_115080_2014-02-16_final
2014-08-27 11:53:17	ga_ls8c_ard_3-0-0_115080_2014-08-27_final
2014-12-21 11:24:37	ga_ls8c_ard_3-0-0_111070_2014-12-21_final
2015-01-18 11:53:12	ga_ls8c_ard_3-0-0_115080_2015-01-18_final
2015-08-18 09:45:44	ga_ls8c_ard_3-0-0_095071_2015-08-18_final
2015-08-27 11:18:54	ga_ls8c_ard_3-0-0_110072_2015-08-27_final
2015-09-15 11:53:08	ga_ls8c_ard_3-0-0_115080_2015-09-15_final
2015-12-17 09:38:22	ga_ls8c_ard_3-0-0_094067_2015-12-17_final
2016-03-04 11:36:09	ga_ls8c_ard_3-0-0_112084_2016-03-04_final
2016-04-13 09:07:08	ga_ls8c_ard_3-0-0_088083_2016-04-12_final
2016-05-31 09:06:47	ga_ls8c_ard_3-0-0_088082_2016-05-30_final
2016-06-10 11:18:00	ga_ls8c_ard_3-0-0_110070_2016-06-10_final
2016-06-26 11:18:06	ga_ls8c_ard_3-0-0_110070_2016-06-26_final
2016-11-08 11:24:25	ga_ls8c_ard_3-0-0_111069_2016-11-08_final
2016-11-23 09:07:52	ga_ls8c_ard_3-0-0_088083_2016-11-22_final
2018-01-14 11:26:09	ga_ls8c_ard_3-0-0_111074_2018-01-14_final
2018-01-23 09:40:36	ga_ls8c_ard_3-0-0_094073_2018-01-23_final
2018-04-04 11:23:55	ga_ls8c_ard_3-0-0_111070_2018-04-04_final
2018-06-07 11:23:41	ga_ls8c_ard_3-0-0_111071_2018-06-07_final
2018-06-16 09:37:08	ga_ls8c_ard_3-0-0_094067_2018-06-16_final
2018-06-16 09:38:43	ga_ls8c_ard_3-0-0_094071_2018-06-16_final
2018-07-09 11:23:37	ga_ls8c_ard_3-0-0_111070_2018-07-09_final
2018-09-20 11:16:45	ga_ls8c_ard_3-0-0_110067_2018-09-20_final
2018-10-25 11:53:05	ga_ls8c_ard_3-0-0_115080_2018-10-25_final
2018-12-09 11:17:00	ga_ls8c_ard_3-0-0_110067_2018-12-09_final
2019-03-31 11:17:27	ga_ls8c_ard_3-1-0_110069_2019-03-31_final
2019-04-23 09:45:48	ga_ls8c_ard_3-0-0_095072_2019-04-23_final
2019-06-19 09:38:05	ga_ls8c_ard_3-1-0_094067_2019-06-19_final
2019-07-14 11:14:04	ga_ls8c_ard_3-1-0_109075_2019-07-14_final
2019-08-09 11:53:18	ga_ls8c_ard_3-1-0_115080_2019-08-09_final
2019-09-30 09:45:57	ga_ls8c_ard_3-1-0_095070_2019-09-30_final
2019-10-15 09:07:55	ga_ls8c_ard_3-1-0_088083_2019-10-14_final
2019-11-08 11:31:50	ga_ls8c_ard_3-1-0_112072_2019-11-08_final
2019-11-13 11:53:33	ga_ls8c_ard_3-1-0_115080_2019-11-13_final
2020-01-04 09:52:12	ga_ls8c_ard_3-1-0_095086_2020-01-04_final
2020-01-27 11:30:47	ga_ls8c_ard_3-1-0_112070_2020-01-27_final
2020-03-17 09:40:28	ga_ls8c_ard_3-1-0_094073_2020-03-17_final
2020-04-18 11:17:29	ga_ls8c_ard_3-1-0_110069_2020-04-18_final
2020-06-12 11:23:42	ga_ls8c_ard_3-1-0_111069_2020-06-12_final
2020-07-07 09:40:03	ga_ls8c_ard_3-1-0_094072_2020-07-07_final
2020-07-14 11:24:21	ga_ls8c_ard_3-1-0_111070_2020-07-14_final
2020-08-17 11:14:33	ga_ls8c_ard_3-1-0_109076_2020-08-17_final
2020-10-14 11:53:32	ga_ls8c_ard_3-1-0_115080_2020-10-14_final
2020-10-16 11:38:47	ga_ls8c_ard_3-1-0_113074_2020-10-16_final
2020-12-05 11:24:27	ga_ls8c_ard_3-1-0_111069_2020-12-05_final
2021-03-07 10:11:03	ga_ls8c_ard_3-2-0_099072_2021-03-07_final
2021-04-01 10:09:30	ga_ls8c_ard_3-2-0_098084_2021-04-01_final
2021-04-22 10:27:07	ga_ls8c_ard_3-2-0_101082_2021-04-22_final
2021-05-05 09:50:53	ga_ls8c_ard_3-2-0_096069_2021-05-05_final
2021-05-07 09:39:19	ga_ls8c_ard_3-2-0_094071_2021-05-07_final
2021-05-25 09:25:33	ga_ls8c_ard_3-2-0_092067_2021-05-24_final
2021-07-31 09:57:37	ga_ls8c_ard_3-2-0_097069_2021-07-31_final
2021-09-04 10:33:30	ga_ls8c_ard_3-2-0_102081_2021-09-04_final
2021-09-16 09:23:22	ga_ls8c_ard_3-2-0_090091_2021-09-15_final
2021-09-28 09:40:10	ga_ls8c_ard_3-2-0_094071_2021-09-28_final
2021-09-28 09:40:34	ga_ls8c_ard_3-2-0_094072_2021-09-28_final
2021-11-02 10:15:32	ga_ls8c_ard_3-2-0_099082_2021-11-02_final
2021-11-06 11:24:30	ga_ls8c_ard_3-2-0_111069_2021-11-06_final
2021-11-19 09:17:50	ga_ls8c_ard_3-2-0_090077_2021-11-18_final
2021-12-19 11:08:16	ga_ls8c_ard_3-2-1_108075_2021-12-19_final
2021-12-28 09:24:45	ga_ls8c_ard_3-2-1_091079_2021-12-27_final
2022-01-31 09:10:15	ga_ls8c_ard_3-2-1_089074_2022-01-30_final
2022-02-10 09:46:07	ga_ls8c_ard_3-2-1_095071_2022-02-10_final
2022-05-23 10:49:21	ga_ls8c_ard_3-2-1_105075_2022-05-23_final
2022-05-30 09:16:39	ga_ls8c_ard_3-2-1_090075_2022-05-29_final
2022-07-04 11:26:20	ga_ls8c_ard_3-2-1_111074_2022-07-04_final
2022-07-06 11:13:58	ga_ls8c_ard_3-2-1_109074_2022-07-06_final
2022-07-17 09:17:20	ga_ls8c_ard_3-2-1_090076_2022-07-16_final
2022-07-26 10:50:10	ga_ls8c_ard_3-2-1_105076_2022-07-26_final
2022-08-17 10:13:39	ga_ls8c_ard_3-2-1_099077_2022-08-17_final
2022-12-17 10:47:04	ga_ls8c_ard_3-2-1_105068_2022-12-17_final
2023-02-02 10:04:32	ga_ls8c_ard_3-2-1_098070_2023-02-02_final
2023-02-02 10:10:07	ga_ls8c_ard_3-2-1_098084_2023-02-02_final
2023-02-13 11:25:11	ga_ls8c_ard_3-2-1_111071_2023-02-13_final
2023-02-19 09:11:55	ga_ls8c_ard_3-2-1_089078_2023-02-18_final
2023-03-05 09:21:43	ga_ls8c_ard_3-2-1_091072_2023-03-04_final
2023-03-13 10:10:42	ga_ls8c_ard_3-2-1_099071_2023-03-13_final
2023-04-27 11:19:25	ga_ls8c_ard_3-2-1_110074_2023-04-27_final
2023-05-06 11:13:32	ga_ls8c_ard_3-2-1_109075_2023-05-06_final
2023-05-22 09:32:56	ga_ls8c_ard_3-2-1_093071_2023-05-22_final
2023-05-26 10:51:30	ga_ls8c_ard_3-2-1_105082_2023-05-26_final
2023-06-03 09:56:06	ga_ls8c_ard_3-2-1_097067_2023-06-03_final
2023-06-14 09:39:41	ga_ls8c_ard_3-2-1_094072_2023-06-14_final
2023-06-17 10:08:12	ga_ls8c_ard_3-2-1_099066_2023-06-17_final
2023-07-11 09:28:34	ga_ls8c_ard_3-2-1_091090_2023-07-10_final
2023-08-04 10:15:22	ga_ls8c_ard_3-2-1_099083_2023-08-04_final
2023-08-07 09:07:00	ga_ls8c_ard_3-2-1_088082_2023-08-06_final
2023-09-11 11:14:09	ga_ls8c_ard_3-2-1_109075_2023-09-11_final
2023-10-07 10:10:03	ga_ls8c_ard_3-2-1_099069_2023-10-07_final
2023-10-29 09:33:52	ga_ls8c_ard_3-2-1_093071_2023-10-29_final
2023-11-21 11:20:09	ga_ls8c_ard_3-2-1_110074_2023-11-21_final
2023-11-28 11:26:19	ga_ls8c_ard_3-2-1_111074_2023-11-28_final
2023-12-10 10:15:15	ga_ls8c_ard_3-2-1_099082_2023-12-10_final
2023-12-30 11:24:39	ga_ls8c_ard_3-2-1_111070_2023-12-30_final
2024-01-19 10:59:52	ga_ls8c_ard_3-2-1_107070_2024-01-19_final
2024-01-22 09:51:51	ga_ls8c_ard_3-2-1_096070_2024-01-22_final
2024-02-17 10:28:08	ga_ls8c_ard_3-2-1_102068_2024-02-17_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