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
2014-02-25 11:42:33	ga_ls8c_ard_3-0-0_114067_2014-02-25_final
2014-07-05 11:29:41	ga_ls8c_ard_3-0-0_112068_2014-07-05_final
2015-01-31 11:19:04	ga_ls8c_ard_3-0-0_110072_2015-01-31_final
2015-02-23 11:24:42	ga_ls8c_ard_3-0-0_111071_2015-02-23_final
2015-03-11 11:24:07	ga_ls8c_ard_3-0-0_111070_2015-03-11_final
2015-12-31 11:30:47	ga_ls8c_ard_3-0-0_112070_2015-12-31_final
2016-11-15 11:31:48	ga_ls8c_ard_3-0-0_112072_2016-11-15_final
2016-11-24 11:26:02	ga_ls8c_ard_3-0-0_111073_2016-11-24_final
2016-12-06 11:53:07	ga_ls8c_ard_3-0-0_115079_2016-12-06_final
2017-01-20 11:20:26	ga_ls8c_ard_3-0-0_110075_2017-01-20_final
2017-06-23 11:57:56	ga_ls8c_ard_3-0-0_116077_2017-06-23_final
2017-07-22 11:23:59	ga_ls8c_ard_3-0-0_111069_2017-07-22_final
2017-08-07 11:23:18	ga_ls8c_ard_3-0-0_111067_2017-08-07_final
2017-10-08 11:37:55	ga_ls8c_ard_3-0-0_113072_2017-10-08_final
2018-01-05 11:30:48	ga_ls8c_ard_3-0-0_112070_2018-01-05_final
2018-01-23 11:19:53	ga_ls8c_ard_3-0-0_110074_2018-01-23_final
2018-04-11 11:30:49	ga_ls8c_ard_3-0-0_112072_2018-04-11_final
2018-06-07 11:23:41	ga_ls8c_ard_3-0-0_111071_2018-06-07_final
2018-06-07 11:24:29	ga_ls8c_ard_3-0-0_111073_2018-06-07_final
2018-09-04 11:17:53	ga_ls8c_ard_3-0-0_110070_2018-09-04_final
2019-02-02 11:25:27	ga_ls8c_ard_3-0-0_111073_2019-02-02_final
2019-07-21 11:23:52	ga_ls8c_ard_3-1-0_110084_2019-07-21_final
2019-10-07 11:30:15	ga_ls8c_ard_3-1-0_112068_2019-10-07_final
2019-10-09 11:18:17	ga_ls8c_ard_3-1-0_110069_2019-10-09_final
2019-12-31 11:51:26	ga_ls8c_ard_3-1-0_115075_2019-12-31_final
2020-07-01 11:58:22	ga_ls8c_ard_3-1-0_116078_2020-07-01_final
2020-09-30 11:42:21	ga_ls8c_ard_3-1-0_113083_2020-09-30_final
2020-11-12 09:40:30	ga_ls8c_ard_3-1-0_094072_2020-11-12_final
2020-12-28 09:52:53	ga_ls8c_ard_3-2-0_096072_2020-12-28_final
2021-01-21 10:40:34	ga_ls8c_ard_3-2-0_104068_2021-01-21_final
2021-01-26 09:22:37	ga_ls8c_ard_3-2-0_091074_2021-01-25_final
2021-02-13 10:49:05	ga_ls8c_ard_3-2-0_105074_2021-02-13_final
2021-02-20 09:20:44	ga_ls8c_ard_3-2-0_090085_2021-02-19_final
2021-02-28 10:09:20	ga_ls8c_ard_3-2-0_098083_2021-02-28_final
2021-03-08 09:18:37	ga_ls8c_ard_3-2-0_090080_2021-03-07_final
2021-04-17 10:03:01	ga_ls8c_ard_3-2-0_098068_2021-04-17_final
2021-05-02 09:21:13	ga_ls8c_ard_3-2-0_091072_2021-05-01_final
2021-05-07 09:37:43	ga_ls8c_ard_3-2-0_094067_2021-05-07_final
2021-06-14 09:07:22	ga_ls8c_ard_3-2-0_088083_2021-06-13_final
2021-06-17 09:34:17	ga_ls8c_ard_3-2-0_093073_2021-06-17_final
2021-06-29 11:35:33	ga_ls8c_ard_3-2-0_113067_2021-06-29_final
2021-08-08 09:13:49	ga_ls8c_ard_3-2-0_089083_2021-08-07_final
2021-08-08 10:49:06	ga_ls8c_ard_3-2-0_105074_2021-08-08_final
2021-08-09 11:31:35	ga_ls8c_ard_3-2-0_112072_2021-08-09_final
2021-08-27 11:20:06	ga_ls8c_ard_3-2-0_110074_2021-08-27_final
2021-09-17 11:38:44	ga_ls8c_ard_3-2-0_113074_2021-09-17_final
2021-11-02 11:52:50	ga_ls8c_ard_3-2-0_115078_2021-11-02_final
2021-12-12 09:22:26	ga_ls8c_ard_3-2-1_091073_2021-12-11_final
2021-12-14 09:10:52	ga_ls8c_ard_3-2-1_089075_2021-12-13_final
2021-12-25 10:29:34	ga_ls8c_ard_3-2-1_102071_2021-12-25_final
2022-01-24 09:06:54	ga_ls8c_ard_3-2-1_088081_2022-01-23_final
2022-02-28 11:13:45	ga_ls8c_ard_3-2-1_109074_2022-02-28_final
2022-03-10 10:09:30	ga_ls8c_ard_3-2-1_099068_2022-03-10_final
2022-03-30 11:25:01	ga_ls8c_ard_3-2-1_111072_2022-03-30_final
2022-03-30 11:25:25	ga_ls8c_ard_3-2-1_111073_2022-03-30_final
2022-04-10 09:33:16	ga_ls8c_ard_3-2-1_092086_2022-04-10_final
2022-04-11 11:53:01	ga_ls8c_ard_3-2-1_115080_2022-04-11_final
2022-05-14 10:56:42	ga_ls8c_ard_3-2-1_106078_2022-05-14_final
2022-05-25 10:34:11	ga_ls8c_ard_3-2-1_103068_2022-05-25_final
2022-06-04 09:39:16	ga_ls8c_ard_3-2-1_093085_2022-06-04_final
2022-06-08 10:49:06	ga_ls8c_ard_3-2-1_105074_2022-06-08_final
2022-07-10 10:49:14	ga_ls8c_ard_3-2-1_105074_2022-07-10_final
2022-07-17 09:22:31	ga_ls8c_ard_3-2-1_090089_2022-07-16_final
2022-08-16 09:28:23	ga_ls8c_ard_3-2-1_092072_2022-08-15_final
2022-09-15 11:18:32	ga_ls8c_ard_3-2-1_110069_2022-09-15_final
2022-10-02 10:24:31	ga_ls8c_ard_3-2-1_101073_2022-10-02_final
2022-10-06 11:42:14	ga_ls8c_ard_3-2-1_113082_2022-10-06_final
2022-10-07 10:43:01	ga_ls8c_ard_3-2-1_104073_2022-10-07_final
2022-10-12 09:27:23	ga_ls8c_ard_3-2-1_091085_2022-10-11_final
2022-10-13 10:10:14	ga_ls8c_ard_3-2-1_098084_2022-10-13_final
2022-10-30 10:50:03	ga_ls8c_ard_3-2-1_105075_2022-10-30_final
2023-01-12 11:25:15	ga_ls8c_ard_3-2-1_111071_2023-01-12_final
2023-01-30 11:13:42	ga_ls8c_ard_3-2-1_109073_2023-01-30_final
2023-03-03 09:40:05	ga_ls8c_ard_3-2-1_093087_2023-03-03_final
2023-03-24 09:58:00	ga_ls8c_ard_3-2-1_096086_2023-03-24_final
2023-03-29 11:52:13	ga_ls8c_ard_3-2-1_115078_2023-03-29_final
2023-04-07 10:04:36	ga_ls8c_ard_3-2-1_098072_2023-04-07_final
2023-04-20 09:34:45	ga_ls8c_ard_3-2-1_093075_2023-04-20_final
2023-04-30 10:09:25	ga_ls8c_ard_3-2-1_099069_2023-04-30_final
2023-05-15 11:07:13	ga_ls8c_ard_3-2-1_108075_2023-05-15_final
2023-05-17 10:52:03	ga_ls8c_ard_3-2-1_106068_2023-05-17_final
2023-06-03 11:37:46	ga_ls8c_ard_3-2-1_113074_2023-06-03_final
2023-06-16 09:33:43	ga_ls8c_ard_3-2-1_092088_2023-06-16_final
2023-06-17 11:51:52	ga_ls8c_ard_3-2-1_115078_2023-06-17_final
2023-07-28 10:09:56	ga_ls8c_ard_3-2-1_098085_2023-07-28_final
2023-08-05 09:22:09	ga_ls8c_ard_3-2-1_090089_2023-08-04_final
2023-08-12 09:28:44	ga_ls8c_ard_3-2-1_091090_2023-08-11_final
2023-08-21 10:55:57	ga_ls8c_ard_3-2-1_106076_2023-08-21_final
2023-09-05 10:09:54	ga_ls8c_ard_3-2-1_099069_2023-09-05_final
2023-11-28 09:52:37	ga_ls8c_ard_3-2-1_095087_2023-11-28_final
2023-12-13 09:06:30	ga_ls8c_ard_3-2-1_088080_2023-12-12_final
2023-12-20 10:50:01	ga_ls8c_ard_3-2-1_105076_2023-12-20_final
2023-12-26 10:09:20	ga_ls8c_ard_3-2-1_099067_2023-12-26_final
2023-12-27 10:55:47	ga_ls8c_ard_3-2-1_106075_2023-12-27_final
2023-12-29 09:06:54	ga_ls8c_ard_3-2-1_088081_2023-12-28_final
2024-01-13 09:56:54	ga_ls8c_ard_3-2-1_097067_2024-01-13_final
2024-01-14 10:42:57	ga_ls8c_ard_3-2-1_104074_2024-01-14_final
2024-02-12 10:09:13	ga_ls8c_ard_3-2-1_099067_2024-02-12_final
2024-02-12 11:51:18	ga_ls8c_ard_3-2-1_115075_2024-02-12_final
2024-02-14 09:57:15	ga_ls8c_ard_3-2-1_097068_2024-02-14_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