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
2013-09-15 11:16:06	ga_ls8c_ard_3-0-0_109075_2013-09-15_final
2013-10-30 09:08:27	ga_ls8c_ard_3-1-0_088081_2013-10-29_final
2013-12-13 11:09:31	ga_ls8c_ard_3-0-0_108075_2013-12-13_final
2013-12-20 11:17:11	ga_ls8c_ard_3-0-0_109079_2013-12-20_final
2014-02-24 11:05:42	ga_ls8c_ard_3-0-0_107083_2014-02-24_final
2014-04-09 09:50:30	ga_ls8c_ard_3-0-0_095082_2014-04-09_final
2014-04-29 10:59:33	ga_ls8c_ard_3-0-0_107070_2014-04-29_final
2014-05-07 11:51:38	ga_ls8c_ard_3-0-0_115077_2014-05-07_final
2014-05-22 11:07:50	ga_ls8c_ard_3-0-0_108076_2014-05-22_final
2014-11-07 11:00:24	ga_ls8c_ard_3-0-0_107071_2014-11-07_final
2014-12-12 11:32:20	ga_ls8c_ard_3-0-0_112074_2014-12-12_final
2014-12-21 11:29:48	ga_ls8c_ard_3-0-0_111083_2014-12-21_final
2015-04-03 11:32:02	ga_ls8c_ard_3-0-0_112075_2015-04-03_final
2015-04-05 09:39:36	ga_ls8c_ard_3-0-0_094072_2015-04-05_final
2015-06-24 09:39:33	ga_ls8c_ard_3-0-0_094072_2015-06-24_final
2015-07-21 11:04:32	ga_ls8c_ard_3-0-0_107083_2015-07-21_final
2015-08-27 11:16:54	ga_ls8c_ard_3-0-0_110067_2015-08-27_final
2015-08-30 11:52:12	ga_ls8c_ard_3-0-0_115078_2015-08-30_final
2015-09-05 11:14:21	ga_ls8c_ard_3-0-0_109076_2015-09-05_final
2015-10-30 11:19:13	ga_ls8c_ard_3-0-0_110072_2015-10-30_final
2016-01-05 11:51:41	ga_ls8c_ard_3-0-0_115076_2016-01-05_final
2016-01-29 11:01:26	ga_ls8c_ard_3-0-0_107074_2016-01-29_final
2016-02-24 11:41:56	ga_ls8c_ard_3-0-0_113083_2016-02-24_final
2016-04-28 11:42:00	ga_ls8c_ard_3-0-0_113084_2016-04-28_final
2016-06-17 11:24:11	ga_ls8c_ard_3-0-0_111070_2016-06-17_final
2016-11-08 11:25:37	ga_ls8c_ard_3-0-0_111072_2016-11-08_final
2017-01-29 11:13:24	ga_ls8c_ard_3-0-0_109073_2017-01-29_final
2017-04-17 11:25:07	ga_ls8c_ard_3-0-0_111073_2017-04-17_final
2017-07-22 11:29:10	ga_ls8c_ard_3-0-0_111082_2017-07-22_final
2017-11-07 11:52:17	ga_ls8c_ard_3-0-0_115077_2017-11-07_final
2017-11-11 11:23:34	ga_ls8c_ard_3-0-0_111067_2017-11-11_final
2018-03-14 11:10:43	ga_ls8c_ard_3-0-0_108083_2018-03-14_final
2018-08-26 09:51:06	ga_ls8c_ard_3-0-0_095085_2018-08-26_final
2018-09-04 11:17:29	ga_ls8c_ard_3-0-0_110069_2018-09-04_final
2019-02-11 11:18:52	ga_ls8c_ard_3-0-0_110072_2019-02-11_final
2019-03-21 09:06:43	ga_ls8c_ard_3-1-0_088082_2019-03-20_final
2019-08-24 11:08:07	ga_ls8c_ard_3-1-0_108075_2019-08-24_final
2019-11-16 09:07:05	ga_ls8c_ard_3-1-0_088081_2019-11-15_final
2020-02-01 11:52:53	ga_ls8c_ard_3-1-0_115079_2020-02-01_final
2020-03-12 10:59:39	ga_ls8c_ard_3-1-0_107070_2020-03-12_final
2020-04-02 11:18:47	ga_ls8c_ard_3-1-0_110072_2020-04-02_final
2020-08-04 11:44:59	ga_ls8c_ard_3-1-0_114075_2020-08-04_final
2021-04-14 11:17:25	ga_ls8c_ard_3-2-0_109084_2021-04-14_final
2021-06-06 09:57:57	ga_ls8c_ard_3-2-0_096086_2021-06-06_final
2021-07-18 10:33:11	ga_ls8c_ard_3-2-0_102081_2021-07-18_final
2021-08-03 10:28:08	ga_ls8c_ard_3-2-0_102068_2021-08-03_final
2021-08-08 10:49:54	ga_ls8c_ard_3-2-0_105076_2021-08-08_final
2021-08-27 09:40:01	ga_ls8c_ard_3-2-0_094071_2021-08-27_final
2021-08-30 10:10:56	ga_ls8c_ard_3-2-0_099071_2021-08-30_final
2021-10-01 11:52:22	ga_ls8c_ard_3-2-0_115077_2021-10-01_final
2021-10-09 09:28:04	ga_ls8c_ard_3-2-0_091087_2021-10-08_final
2021-11-02 11:53:37	ga_ls8c_ard_3-2-0_115080_2021-11-02_final
2021-11-06 09:47:37	ga_ls8c_ard_3-2-0_095074_2021-11-06_final
2021-11-27 10:10:05	ga_ls8c_ard_3-2-0_098084_2021-11-27_final
2022-01-21 11:52:59	ga_ls8c_ard_3-2-1_115079_2022-01-21_final
2022-01-22 09:16:53	ga_ls8c_ard_3-2-1_090075_2022-01-21_final
2022-02-06 11:51:44	ga_ls8c_ard_3-2-1_115076_2022-02-06_final
2022-02-13 10:17:24	ga_ls8c_ard_3-2-1_100072_2022-02-13_final
2022-02-23 09:17:31	ga_ls8c_ard_3-2-1_090077_2022-02-22_final
2022-03-10 10:15:53	ga_ls8c_ard_3-2-1_099084_2022-03-10_final
2022-04-04 10:03:06	ga_ls8c_ard_3-2-1_098068_2022-04-04_final
2022-04-27 11:52:58	ga_ls8c_ard_3-2-1_115080_2022-04-27_final
2022-07-01 10:55:50	ga_ls8c_ard_3-2-1_106075_2022-07-01_final
2022-07-02 09:59:00	ga_ls8c_ard_3-2-1_097072_2022-07-02_final
2022-07-27 11:36:14	ga_ls8c_ard_3-2-1_112083_2022-07-27_final
2022-10-01 09:41:15	ga_ls8c_ard_3-2-1_094073_2022-10-01_final
2022-11-11 11:14:43	ga_ls8c_ard_3-2-1_109075_2022-11-11_final
2022-11-13 11:04:20	ga_ls8c_ard_3-2-1_107080_2022-11-13_final
2022-12-11 11:24:37	ga_ls8c_ard_3-2-1_111069_2022-12-11_final
2022-12-23 10:14:41	ga_ls8c_ard_3-2-1_099080_2022-12-23_final
2022-12-24 09:17:05	ga_ls8c_ard_3-2-1_090075_2022-12-23_final
2022-12-30 10:18:07	ga_ls8c_ard_3-2-1_100073_2022-12-30_final
2023-02-09 11:52:45	ga_ls8c_ard_3-2-1_115078_2023-02-09_final
2023-02-24 09:31:08	ga_ls8c_ard_3-2-1_092080_2023-02-24_final
2023-03-15 10:01:55	ga_ls8c_ard_3-2-1_097080_2023-03-15_final
2023-03-17 09:46:45	ga_ls8c_ard_3-2-1_095073_2023-03-17_final
2023-03-24 11:31:18	ga_ls8c_ard_3-2-1_112072_2023-03-24_final
2023-04-04 09:34:10	ga_ls8c_ard_3-2-1_093073_2023-04-04_final
2023-05-04 09:46:38	ga_ls8c_ard_3-2-1_095074_2023-05-04_final
2023-05-08 09:22:15	ga_ls8c_ard_3-2-1_091075_2023-05-07_final
2023-05-10 10:47:33	ga_ls8c_ard_3-2-1_105072_2023-05-10_final
2023-05-25 10:03:51	ga_ls8c_ard_3-2-1_098071_2023-05-25_final
2023-05-29 11:18:25	ga_ls8c_ard_3-2-1_110072_2023-05-29_final
2023-06-19 11:41:30	ga_ls8c_ard_3-2-1_113083_2023-06-19_final
2023-06-27 09:10:04	ga_ls8c_ard_3-2-1_089075_2023-06-26_final
2023-07-05 09:56:25	ga_ls8c_ard_3-2-1_097067_2023-07-05_final
2023-07-11 09:22:11	ga_ls8c_ard_3-2-1_091074_2023-07-10_final
2023-07-13 09:14:13	ga_ls8c_ard_3-2-1_089085_2023-07-12_final
2023-07-15 10:35:33	ga_ls8c_ard_3-2-1_103072_2023-07-15_final
2023-08-17 11:23:50	ga_ls8c_ard_3-2-1_110084_2023-08-17_final
2023-08-22 09:57:33	ga_ls8c_ard_3-2-1_097069_2023-08-22_final
2023-09-11 11:14:33	ga_ls8c_ard_3-2-1_109076_2023-09-11_final
2023-09-23 10:01:14	ga_ls8c_ard_3-2-1_097078_2023-09-23_final
2023-10-31 11:00:47	ga_ls8c_ard_3-2-1_107072_2023-10-31_final
2023-11-03 11:31:41	ga_ls8c_ard_3-2-1_112072_2023-11-03_final
2023-11-15 11:58:23	ga_ls8c_ard_3-2-1_116077_2023-11-15_final
2023-12-05 11:32:23	ga_ls8c_ard_3-2-1_112074_2023-12-05_final
2024-01-26 09:27:52	ga_ls8c_ard_3-2-1_092072_2024-01-25_final
2024-02-27 11:05:34	ga_ls8c_ard_3-2-1_108069_2024-02-27_final
2024-02-27 11:11:09	ga_ls8c_ard_3-2-1_108083_2024-02-27_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