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
2013-09-30 10:35:32	ga_ls8c_ard_3-0-0_102082_2013-09-30_final
2013-11-09 11:19:39	ga_ls8c_ard_3-0-0_110069_2013-11-09_final
2014-01-03 11:25:28	ga_ls8c_ard_3-0-0_111069_2014-01-03_final
2014-05-07 11:52:02	ga_ls8c_ard_3-0-0_115078_2014-05-07_final
2014-05-13 09:33:13	ga_ls8c_ard_3-0-0_093071_2014-05-13_final
2014-06-30 11:13:53	ga_ls8c_ard_3-0-0_109075_2014-06-30_final
2014-12-12 09:54:39	ga_ls8c_ard_3-0-0_096077_2014-12-12_final
2015-01-07 10:33:18	ga_ls8c_ard_3-0-0_102081_2015-01-07_final
2015-03-09 11:37:19	ga_ls8c_ard_3-0-0_113072_2015-03-09_final
2015-05-08 10:26:34	ga_ls8c_ard_3-0-0_101082_2015-05-08_final
2015-05-09 11:07:01	ga_ls8c_ard_3-0-0_108075_2015-05-09_final
2015-05-14 11:23:06	ga_ls8c_ard_3-0-0_111069_2015-05-14_final
2015-09-28 09:45:49	ga_ls8c_ard_3-0-0_094086_2015-09-28_final
2015-09-30 09:28:40	ga_ls8c_ard_3-0-0_092074_2015-09-29_final
2015-11-26 11:02:43	ga_ls8c_ard_3-0-0_107077_2015-11-26_final
2015-12-27 10:17:26	ga_ls8c_ard_3-0-0_100072_2015-12-27_final
2016-03-20 11:31:15	ga_ls8c_ard_3-0-0_112072_2016-03-20_final
2016-04-25 11:07:27	ga_ls8c_ard_3-0-0_108075_2016-04-25_final
2016-07-03 11:23:57	ga_ls8c_ard_3-0-0_111069_2016-07-03_final
2016-08-20 11:24:12	ga_ls8c_ard_3-0-0_111069_2016-08-20_final
2016-11-13 10:02:53	ga_ls8c_ard_3-2-1_098066_2016-11-13_final
2016-12-11 10:33:33	ga_ls8c_ard_3-0-0_102081_2016-12-11_final
2017-01-06 09:29:39	ga_ls8c_ard_3-0-0_092076_2017-01-05_final
2017-01-20 09:39:57	ga_ls8c_ard_3-0-0_094071_2017-01-20_final
2017-02-23 09:28:33	ga_ls8c_ard_3-0-0_092074_2017-02-22_final
2017-04-06 10:09:16	ga_ls8c_ard_3-0-0_098084_2017-04-06_final
2017-04-08 09:51:18	ga_ls8c_ard_3-0-0_096070_2017-04-08_final
2017-04-28 11:07:15	ga_ls8c_ard_3-0-0_108075_2017-04-28_final
2017-06-06 11:13:46	ga_ls8c_ard_3-0-0_109075_2017-06-06_final
2017-07-02 10:12:54	ga_ls8c_ard_3-0-0_099077_2017-07-02_final
2017-08-14 11:31:31	ga_ls8c_ard_3-0-0_112072_2017-08-14_final
2017-08-18 09:33:55	ga_ls8c_ard_3-0-0_092087_2017-08-18_final
2017-09-08 11:24:12	ga_ls8c_ard_3-0-0_111069_2017-09-08_final
2018-01-11 10:55:40	ga_ls8c_ard_3-0-0_106075_2018-01-11_final
2018-05-08 11:10:50	ga_ls8c_ard_3-0-0_109069_2018-05-08_final
2018-05-29 11:30:18	ga_ls8c_ard_3-0-0_112072_2018-05-29_final
2018-09-09 09:57:10	ga_ls8c_ard_3-0-0_097069_2018-09-09_final
2018-12-25 11:16:59	ga_ls8c_ard_3-0-0_110067_2018-12-25_final
2019-01-31 09:56:32	ga_ls8c_ard_3-0-0_097067_2019-01-31_final
2019-03-24 09:34:01	ga_ls8c_ard_3-1-0_093073_2019-03-24_final
2019-04-23 11:25:29	ga_ls8c_ard_3-0-0_111074_2019-04-23_final
2019-05-09 11:23:36	ga_ls8c_ard_3-0-0_111069_2019-05-09_final
2019-08-13 11:24:37	ga_ls8c_ard_3-1-0_111070_2019-08-13_final
2019-10-09 11:20:41	ga_ls8c_ard_3-1-0_110075_2019-10-09_final
2019-12-04 10:33:34	ga_ls8c_ard_3-1-0_102081_2019-12-04_final
2019-12-12 11:18:13	ga_ls8c_ard_3-1-0_110069_2019-12-12_final
2019-12-30 11:06:59	ga_ls8c_ard_3-1-0_108072_2019-12-30_final
2020-01-20 09:46:10	ga_ls8c_ard_3-1-0_095071_2020-01-20_final
2020-01-22 11:11:52	ga_ls8c_ard_3-1-0_109069_2020-01-22_final
2020-02-06 10:33:19	ga_ls8c_ard_3-1-0_102081_2020-02-06_final
2020-02-07 09:34:06	ga_ls8c_ard_3-1-0_093072_2020-02-07_final
2020-04-11 11:14:09	ga_ls8c_ard_3-1-0_109076_2020-04-11_final
2020-05-05 10:26:54	ga_ls8c_ard_3-1-0_101082_2020-05-05_final
2020-06-18 10:49:28	ga_ls8c_ard_3-1-0_105076_2020-06-18_final
2020-08-29 09:57:18	ga_ls8c_ard_3-1-0_097068_2020-08-29_final
2020-10-20 09:34:23	ga_ls8c_ard_3-1-0_093072_2020-10-20_final
2020-12-05 11:24:03	ga_ls8c_ard_3-1-0_111068_2020-12-05_final
2020-12-25 09:22:24	ga_ls8c_ard_3-2-0_091073_2020-12-24_final
2020-12-30 11:17:24	ga_ls8c_ard_3-2-0_110067_2020-12-30_final
2021-01-01 11:08:13	ga_ls8c_ard_3-2-0_108075_2021-01-01_final
2021-01-29 11:36:24	ga_ls8c_ard_3-2-0_112084_2021-01-29_final
2021-02-16 11:17:11	ga_ls8c_ard_3-2-0_110067_2021-02-16_final
2021-02-21 11:35:42	ga_ls8c_ard_3-2-0_113067_2021-02-21_final
2021-03-03 10:39:24	ga_ls8c_ard_3-2-0_103081_2021-03-03_final
2021-03-09 11:37:34	ga_ls8c_ard_3-2-0_113072_2021-03-09_final
2021-04-19 11:31:32	ga_ls8c_ard_3-2-0_112073_2021-04-19_final
2021-05-11 10:55:07	ga_ls8c_ard_3-2-0_106075_2021-05-11_final
2021-07-17 11:24:01	ga_ls8c_ard_3-2-0_111069_2021-07-17_final
2021-07-30 10:55:37	ga_ls8c_ard_3-2-0_106075_2021-07-30_final
2021-09-16 09:17:23	ga_ls8c_ard_3-2-0_090076_2021-09-15_final
2021-10-11 09:10:56	ga_ls8c_ard_3-2-0_089075_2021-10-10_final
2021-10-16 09:29:05	ga_ls8c_ard_3-2-0_092074_2021-10-15_final
2021-11-01 09:26:18	ga_ls8c_ard_3-2-0_092067_2021-10-31_final
2021-11-11 10:02:56	ga_ls8c_ard_3-2-1_098066_2021-11-11_final
2021-12-10 09:34:48	ga_ls8c_ard_3-2-1_093073_2021-12-10_final
2022-01-11 09:34:17	ga_ls8c_ard_3-2-1_093072_2022-01-11_final
2022-03-16 11:13:39	ga_ls8c_ard_3-2-1_109074_2022-03-16_final
2022-05-03 09:33:27	ga_ls8c_ard_3-2-1_093071_2022-05-03_final
2022-06-10 10:39:33	ga_ls8c_ard_3-2-1_103081_2022-06-10_final
2022-07-01 09:17:44	ga_ls8c_ard_3-2-1_090077_2022-06-30_final
2022-07-15 11:08:09	ga_ls8c_ard_3-2-1_108075_2022-07-15_final
2022-08-03 09:57:13	ga_ls8c_ard_3-2-1_097067_2022-08-03_final
2022-08-22 10:34:12	ga_ls8c_ard_3-2-1_102082_2022-08-22_final
2022-11-15 10:50:21	ga_ls8c_ard_3-2-1_105076_2022-11-15_final
2022-12-08 10:58:55	ga_ls8c_ard_3-2-1_106082_2022-12-08_final
2022-12-24 09:17:29	ga_ls8c_ard_3-2-1_090076_2022-12-23_final
2022-12-24 09:23:04	ga_ls8c_ard_3-2-1_090090_2022-12-23_final
2023-03-13 10:09:54	ga_ls8c_ard_3-2-1_099069_2023-03-13_final
2023-03-31 11:42:13	ga_ls8c_ard_3-2-1_113084_2023-03-31_final
2023-09-24 10:46:06	ga_ls8c_ard_3-2-1_104082_2023-09-24_final
2023-09-27 11:14:14	ga_ls8c_ard_3-2-1_109075_2023-09-27_final
2023-10-18 09:52:20	ga_ls8c_ard_3-2-1_096071_2023-10-18_final
2023-10-28 10:33:28	ga_ls8c_ard_3-2-1_102081_2023-10-28_final
2023-11-20 10:39:40	ga_ls8c_ard_3-2-1_103081_2023-11-20_final
2023-11-26 09:57:01	ga_ls8c_ard_3-2-1_097067_2023-11-26_final
2023-12-31 10:33:24	ga_ls8c_ard_3-2-1_102081_2023-12-31_final
2024-02-03 10:16:59	ga_ls8c_ard_3-2-1_100071_2024-02-03_final
2024-02-29 10:55:34	ga_ls8c_ard_3-2-1_106075_2024-02-29_final
2024-03-05 09:34:21	ga_ls8c_ard_3-2-1_093073_2024-03-05_final
2024-03-07 09:22:21	ga_ls8c_ard_3-2-1_091074_2024-03-06_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