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
2014-05-26 10:42:45	ga_ls8c_ard_3-0-0_104075_2014-05-26_final
2014-06-10 11:40:55	ga_ls8c_ard_3-0-0_113081_2014-06-10_final
2014-06-12 11:22:59	ga_ls8c_ard_3-0-0_111067_2014-06-12_final
2014-09-26 10:22:47	ga_ls8c_ard_3-0-0_101070_2014-09-26_final
2014-12-26 11:41:56	ga_ls8c_ard_3-0-0_114067_2014-12-26_final
2015-02-26 10:16:42	ga_ls8c_ard_3-0-0_100071_2015-02-26_final
2015-06-20 11:46:20	ga_ls8c_ard_3-0-0_114080_2015-06-20_final
2015-09-06 11:57:38	ga_ls8c_ard_3-0-0_116076_2015-09-06_final
2015-10-05 11:30:06	ga_ls8c_ard_3-0-0_111084_2015-10-05_final
2015-12-21 10:58:55	ga_ls8c_ard_3-0-0_106083_2015-12-21_final
2016-02-02 10:36:41	ga_ls8c_ard_3-0-0_103074_2016-02-02_final
2016-02-22 10:13:25	ga_ls8c_ard_3-0-0_099078_2016-02-22_final
2016-04-01 11:58:14	ga_ls8c_ard_3-0-0_116078_2016-04-01_final
2016-04-22 10:38:34	ga_ls8c_ard_3-0-0_103080_2016-04-22_final
2016-04-28 11:41:36	ga_ls8c_ard_3-0-0_113083_2016-04-28_final
2016-05-12 10:14:39	ga_ls8c_ard_3-0-0_099082_2016-05-12_final
2016-05-26 10:22:19	ga_ls8c_ard_3-0-0_101070_2016-05-26_final
2016-06-15 11:37:21	ga_ls8c_ard_3-0-0_113072_2016-06-15_final
2016-07-13 10:27:49	ga_ls8c_ard_3-0-0_101083_2016-07-13_final
2016-10-30 11:30:37	ga_ls8c_ard_3-0-0_112069_2016-10-30_final
2016-11-07 10:45:33	ga_ls8c_ard_3-0-0_104080_2016-11-07_final
2017-02-12 11:25:38	ga_ls8c_ard_3-0-0_111073_2017-02-12_final
2017-03-09 11:16:54	ga_ls8c_ard_3-0-0_110067_2017-03-09_final
2017-03-27 11:06:21	ga_ls8c_ard_3-0-0_108072_2017-03-27_final
2017-08-07 11:23:18	ga_ls8c_ard_3-0-0_111067_2017-08-07_final
2017-11-06 11:07:26	ga_ls8c_ard_3-0-0_108073_2017-11-06_final
2017-12-29 11:29:03	ga_ls8c_ard_3-0-0_111081_2017-12-29_final
2018-06-05 11:37:37	ga_ls8c_ard_3-0-0_113075_2018-06-05_final
2018-07-25 11:24:31	ga_ls8c_ard_3-0-0_111072_2018-07-25_final
2018-09-04 11:23:04	ga_ls8c_ard_3-0-0_110083_2018-09-04_final
2018-10-22 11:17:47	ga_ls8c_ard_3-0-0_110069_2018-10-22_final
2018-11-20 10:52:32	ga_ls8c_ard_3-0-0_105083_2018-11-20_final
2018-11-30 11:23:13	ga_ls8c_ard_3-0-0_111067_2018-11-30_final
2019-01-26 11:19:42	ga_ls8c_ard_3-0-0_110074_2019-01-26_final
2019-02-08 10:49:10	ga_ls8c_ard_3-0-0_105075_2019-02-08_final
2019-06-07 10:55:21	ga_ls8c_ard_3-0-0_106075_2019-06-07_final
2019-07-06 10:23:00	ga_ls8c_ard_3-1-0_101071_2019-07-06_final
2019-07-15 11:57:20	ga_ls8c_ard_3-1-0_116075_2019-07-15_final
2019-07-15 11:57:44	ga_ls8c_ard_3-1-0_116076_2019-07-15_final
2019-08-13 11:23:25	ga_ls8c_ard_3-1-0_111067_2019-08-13_final
2019-08-29 11:24:17	ga_ls8c_ard_3-1-0_111069_2019-08-29_final
2019-09-05 11:29:41	ga_ls8c_ard_3-1-0_112067_2019-09-05_final
2019-11-10 11:17:29	ga_ls8c_ard_3-1-0_110067_2019-11-10_final
2020-03-07 10:45:32	ga_ls8c_ard_3-1-0_104081_2020-03-07_final
2020-05-02 11:29:44	ga_ls8c_ard_3-1-0_112069_2020-05-02_final
2020-07-30 11:24:26	ga_ls8c_ard_3-1-0_111070_2020-07-30_final
2020-08-29 11:37:47	ga_ls8c_ard_3-1-0_113072_2020-08-29_final
2020-09-20 11:00:02	ga_ls8c_ard_3-1-0_107070_2020-09-20_final
2020-10-12 10:23:01	ga_ls8c_ard_3-1-0_101070_2020-10-12_final
2020-11-21 11:14:50	ga_ls8c_ard_3-1-0_109076_2020-11-21_final
2021-01-11 11:47:38	ga_ls8c_ard_3-2-0_114081_2021-01-11_final
2021-01-22 11:25:02	ga_ls8c_ard_3-2-0_111071_2021-01-22_final
2021-01-30 10:39:34	ga_ls8c_ard_3-2-0_103081_2021-01-30_final
2021-02-12 10:10:13	ga_ls8c_ard_3-2-0_098085_2021-02-12_final
2021-03-07 11:51:08	ga_ls8c_ard_3-2-0_115075_2021-03-07_final
2021-04-03 11:31:38	ga_ls8c_ard_3-2-0_112073_2021-04-03_final
2021-05-04 09:10:50	ga_ls8c_ard_3-2-0_089077_2021-05-03_final
2021-05-07 09:45:42	ga_ls8c_ard_3-2-0_094087_2021-05-07_final
2021-06-04 11:41:36	ga_ls8c_ard_3-2-0_114067_2021-06-04_final
2021-06-04 11:47:11	ga_ls8c_ard_3-2-0_114081_2021-06-04_final
2021-08-17 09:07:41	ga_ls8c_ard_3-2-0_088083_2021-08-16_final
2021-09-14 09:34:56	ga_ls8c_ard_3-2-0_092089_2021-09-14_final
2021-11-13 11:32:14	ga_ls8c_ard_3-2-0_112073_2021-11-13_final
2021-11-18 10:14:15	ga_ls8c_ard_3-2-0_099079_2021-11-18_final
2021-12-06 09:57:08	ga_ls8c_ard_3-2-1_097067_2021-12-06_final
2021-12-10 09:34:00	ga_ls8c_ard_3-2-1_093071_2021-12-10_final
2021-12-20 11:53:08	ga_ls8c_ard_3-2-1_115079_2021-12-20_final
2021-12-26 09:34:44	ga_ls8c_ard_3-2-1_093073_2021-12-26_final
2022-01-08 10:40:40	ga_ls8c_ard_3-2-1_104068_2022-01-08_final
2022-01-11 09:35:05	ga_ls8c_ard_3-2-1_093074_2022-01-11_final
2022-01-16 09:52:24	ga_ls8c_ard_3-2-1_096071_2022-01-16_final
2022-01-21 10:16:30	ga_ls8c_ard_3-2-1_099085_2022-01-21_final
2022-04-19 10:59:36	ga_ls8c_ard_3-2-1_107070_2022-04-19_final
2022-05-13 10:08:39	ga_ls8c_ard_3-2-1_099066_2022-05-13_final
2022-05-21 09:25:37	ga_ls8c_ard_3-2-1_091082_2022-05-20_final
2022-06-29 09:33:18	ga_ls8c_ard_3-2-1_092085_2022-06-29_final
2022-06-29 11:10:11	ga_ls8c_ard_3-2-1_108080_2022-06-29_final
2022-08-19 11:38:11	ga_ls8c_ard_3-2-1_113072_2022-08-19_final
2022-08-29 10:39:58	ga_ls8c_ard_3-2-1_103081_2022-08-29_final
2022-10-14 09:16:12	ga_ls8c_ard_3-2-1_089088_2022-10-13_final
2022-11-24 10:46:34	ga_ls8c_ard_3-2-1_104082_2022-11-24_final
2022-11-25 11:30:14	ga_ls8c_ard_3-2-1_111083_2022-11-25_final
2022-12-01 10:53:09	ga_ls8c_ard_3-2-1_105083_2022-12-01_final
2022-12-24 09:21:04	ga_ls8c_ard_3-2-1_090085_2022-12-23_final
2023-01-08 11:53:12	ga_ls8c_ard_3-2-1_115079_2023-01-08_final
2023-01-15 10:18:25	ga_ls8c_ard_3-2-1_100074_2023-01-15_final
2023-01-18 09:11:35	ga_ls8c_ard_3-2-1_089077_2023-01-17_final
2023-02-01 09:23:40	ga_ls8c_ard_3-2-1_091076_2023-01-31_final
2023-02-04 09:52:34	ga_ls8c_ard_3-2-1_096071_2023-02-04_final
2023-03-20 10:21:36	ga_ls8c_ard_3-2-1_100083_2023-03-20_final
2023-04-27 11:19:25	ga_ls8c_ard_3-2-1_110074_2023-04-27_final
2023-05-12 10:39:08	ga_ls8c_ard_3-2-1_103082_2023-05-12_final
2023-05-20 11:24:58	ga_ls8c_ard_3-2-1_111073_2023-05-20_final
2023-05-26 09:11:25	ga_ls8c_ard_3-2-1_089079_2023-05-25_final
2023-07-25 11:13:53	ga_ls8c_ard_3-2-1_109075_2023-07-25_final
2023-09-18 09:45:53	ga_ls8c_ard_3-2-1_094086_2023-09-18_final
2024-01-03 09:26:10	ga_ls8c_ard_3-2-1_091083_2024-01-02_final
2024-02-09 09:40:20	ga_ls8c_ard_3-2-1_094072_2024-02-09_final
2024-02-17 10:28:08	ga_ls8c_ard_3-2-1_102068_2024-02-17_final
2024-02-25 11:23:32	ga_ls8c_ard_3-2-1_110083_2024-02-25_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