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
2013-04-09 10:25:10	ga_ls8c_ard_3-0-0_101071_2013-04-09_final
2013-04-22 11:27:04	ga_ls8c_ard_3-0-0_111072_2013-04-22_final
2013-04-26 09:29:25	ga_ls8c_ard_3-0-0_091087_2013-04-25_final
2013-05-21 10:55:13	ga_ls8c_ard_3-0-0_106069_2013-05-21_final
2013-05-21 11:00:24	ga_ls8c_ard_3-0-0_106082_2013-05-21_final
2013-11-12 10:15:39	ga_ls8c_ard_3-0-0_099079_2013-11-12_final
2014-01-15 10:14:40	ga_ls8c_ard_3-0-0_099078_2014-01-15_final
2014-01-21 09:41:34	ga_ls8c_ard_3-0-0_093088_2014-01-21_final
2014-02-26 10:47:43	ga_ls8c_ard_3-0-0_105069_2014-02-26_final
2014-04-16 09:51:44	ga_ls8c_ard_3-0-0_096070_2014-04-16_final
2014-05-27 09:50:20	ga_ls8c_ard_3-0-0_095083_2014-05-27_final
2014-08-19 09:23:45	ga_ls8c_ard_3-0-0_091077_2014-08-18_final
2014-09-29 09:21:37	ga_ls8c_ard_3-0-0_090087_2014-09-28_final
2014-10-18 11:24:44	ga_ls8c_ard_3-0-0_111070_2014-10-18_final
2014-12-09 09:22:36	ga_ls8c_ard_3-0-0_091074_2014-12-08_final
2014-12-17 10:10:51	ga_ls8c_ard_3-0-0_099071_2014-12-17_final
2014-12-30 09:40:16	ga_ls8c_ard_3-0-0_094072_2014-12-30_final
2015-02-19 10:08:57	ga_ls8c_ard_3-0-0_099067_2015-02-19_final
2015-02-25 09:33:27	ga_ls8c_ard_3-0-0_093071_2015-02-25_final
2015-06-19 09:26:35	ga_ls8c_ard_3-0-0_091086_2015-06-18_final
2015-09-25 10:49:00	ga_ls8c_ard_3-0-0_105074_2015-09-25_final
2015-10-14 09:40:14	ga_ls8c_ard_3-0-0_094072_2015-10-14_final
2015-11-04 11:39:45	ga_ls8c_ard_3-0-0_113077_2015-11-04_final
2015-11-22 11:28:38	ga_ls8c_ard_3-0-0_111080_2015-11-22_final
2016-01-07 11:41:42	ga_ls8c_ard_3-0-0_113082_2016-01-07_final
2016-04-18 09:22:27	ga_ls8c_ard_3-0-0_091075_2016-04-17_final
2016-08-22 09:32:10	ga_ls8c_ard_3-0-0_093067_2016-08-22_final
2016-09-23 09:37:04	ga_ls8c_ard_3-0-0_093079_2016-09-23_final
2016-10-09 09:39:56	ga_ls8c_ard_3-0-0_093086_2016-10-09_final
2016-11-24 11:30:25	ga_ls8c_ard_3-0-0_111084_2016-11-24_final
2016-12-03 11:19:26	ga_ls8c_ard_3-0-0_110072_2016-12-03_final
2016-12-19 09:41:16	ga_ls8c_ard_3-0-0_094074_2016-12-19_final
2017-01-31 11:01:25	ga_ls8c_ard_3-0-0_107074_2017-01-31_final
2017-03-08 10:34:03	ga_ls8c_ard_3-0-0_103068_2017-03-08_final
2017-03-14 09:56:54	ga_ls8c_ard_3-0-0_097068_2017-03-14_final
2017-04-01 11:23:40	ga_ls8c_ard_3-0-0_111069_2017-04-01_final
2017-07-11 11:41:38	ga_ls8c_ard_3-0-0_114067_2017-07-11_final
2017-07-26 11:01:41	ga_ls8c_ard_3-0-0_107075_2017-07-26_final
2017-10-26 11:23:36	ga_ls8c_ard_3-0-0_111067_2017-10-26_final
2017-11-08 10:53:04	ga_ls8c_ard_3-0-0_106068_2017-11-08_final
2017-11-15 09:27:55	ga_ls8c_ard_3-0-0_091087_2017-11-14_final
2017-11-26 09:06:54	ga_ls8c_ard_3-1-0_088081_2017-11-25_final
2018-02-10 11:11:22	ga_ls8c_ard_3-0-0_108084_2018-02-10_final
2018-03-16 09:21:27	ga_ls8c_ard_3-0-0_090088_2018-03-15_final
2018-07-13 09:23:38	ga_ls8c_ard_3-0-0_091079_2018-07-12_final
2018-09-01 10:49:21	ga_ls8c_ard_3-0-0_105076_2018-09-01_final
2018-09-15 09:21:42	ga_ls8c_ard_3-0-0_091073_2018-09-14_final
2018-10-17 09:21:32	ga_ls8c_ard_3-0-0_091072_2018-10-16_final
2018-11-05 09:57:18	ga_ls8c_ard_3-0-0_096084_2018-11-05_final
2018-12-14 11:38:19	ga_ls8c_ard_3-0-0_113074_2018-12-14_final
2019-02-11 09:39:35	ga_ls8c_ard_3-0-0_094071_2019-02-11_final
2019-03-25 10:16:52	ga_ls8c_ard_3-1-0_100072_2019-03-25_final
2019-05-06 10:53:03	ga_ls8c_ard_3-0-0_106070_2019-05-06_final
2019-06-22 11:50:40	ga_ls8c_ard_3-1-0_115074_2019-06-22_final
2019-07-19 11:30:37	ga_ls8c_ard_3-1-0_112070_2019-07-19_final
2019-07-28 09:47:37	ga_ls8c_ard_3-1-0_095075_2019-07-28_final
2019-08-19 10:49:57	ga_ls8c_ard_3-1-0_105076_2019-08-19_final
2019-10-04 11:02:32	ga_ls8c_ard_3-1-0_107076_2019-10-04_final
2019-10-15 09:06:43	ga_ls8c_ard_3-1-0_088080_2019-10-14_final
2019-10-25 11:18:18	ga_ls8c_ard_3-1-0_110069_2019-10-25_final
2019-11-12 09:34:36	ga_ls8c_ard_3-1-0_092088_2019-11-12_final
2020-04-04 11:10:48	ga_ls8c_ard_3-1-0_108083_2020-04-04_final
2020-04-14 10:04:33	ga_ls8c_ard_3-1-0_098072_2020-04-14_final
2020-06-26 11:42:11	ga_ls8c_ard_3-1-0_113084_2020-06-26_final
2020-07-21 09:57:40	ga_ls8c_ard_3-1-0_096085_2020-07-21_final
2020-09-22 10:50:05	ga_ls8c_ard_3-1-0_105076_2020-09-22_final
2020-10-04 09:34:22	ga_ls8c_ard_3-1-0_093072_2020-10-04_final
2020-10-18 09:46:44	ga_ls8c_ard_3-1-0_095072_2020-10-18_final
2021-01-01 11:11:25	ga_ls8c_ard_3-2-0_108083_2021-01-01_final
2021-01-11 10:04:45	ga_ls8c_ard_3-2-0_098071_2021-01-11_final
2021-03-11 11:23:59	ga_ls8c_ard_3-2-0_111069_2021-03-11_final
2021-06-19 09:28:19	ga_ls8c_ard_3-2-0_091089_2021-06-18_final
2021-07-29 11:51:14	ga_ls8c_ard_3-2-0_115075_2021-07-29_final
2021-09-24 10:07:15	ga_ls8c_ard_3-2-0_098077_2021-09-24_final
2021-09-25 10:52:31	ga_ls8c_ard_3-2-0_105082_2021-09-25_final
2021-11-13 11:29:50	ga_ls8c_ard_3-2-0_112067_2021-11-13_final
2021-12-16 10:36:11	ga_ls8c_ard_3-2-1_103072_2021-12-16_final
2022-02-03 09:41:09	ga_ls8c_ard_3-2-1_094074_2022-02-03_final
2022-02-05 09:34:23	ga_ls8c_ard_3-2-1_092088_2022-02-05_final
2022-02-28 09:34:04	ga_ls8c_ard_3-2-1_093072_2022-02-28_final
2022-03-15 10:33:35	ga_ls8c_ard_3-2-1_102082_2022-03-15_final
2022-04-28 09:16:27	ga_ls8c_ard_3-2-1_090075_2022-04-27_final
2022-07-14 10:23:18	ga_ls8c_ard_3-2-1_101071_2022-07-14_final
2022-08-11 09:16:37	ga_ls8c_ard_3-2-1_089089_2022-08-10_final
2022-09-01 09:33:35	ga_ls8c_ard_3-2-1_092085_2022-09-01_final
2022-09-22 09:47:27	ga_ls8c_ard_3-2-1_095073_2022-09-22_final
2022-09-24 09:40:17	ga_ls8c_ard_3-2-1_093086_2022-09-24_final
2022-10-17 11:23:38	ga_ls8c_ard_3-2-1_110082_2022-10-17_final
2023-02-15 11:12:00	ga_ls8c_ard_3-2-1_109069_2023-02-15_final
2023-03-05 09:21:43	ga_ls8c_ard_3-2-1_091072_2023-03-04_final
2023-06-14 11:19:45	ga_ls8c_ard_3-2-1_110075_2023-06-14_final
2023-06-22 10:33:07	ga_ls8c_ard_3-2-1_102082_2023-06-22_final
2023-07-18 09:28:22	ga_ls8c_ard_3-2-1_092074_2023-07-17_final
2023-08-04 10:08:35	ga_ls8c_ard_3-2-1_099066_2023-08-04_final
2023-08-13 10:04:26	ga_ls8c_ard_3-2-1_098071_2023-08-13_final
2023-10-07 10:14:03	ga_ls8c_ard_3-2-1_099079_2023-10-07_final
2023-11-07 11:07:43	ga_ls8c_ard_3-2-1_108074_2023-11-07_final
2023-12-20 09:13:08	ga_ls8c_ard_3-2-1_089081_2023-12-19_final
2024-03-16 09:20:06	ga_ls8c_ard_3-2-1_090084_2024-03-15_final
2024-03-16 09:21:42	ga_ls8c_ard_3-2-1_090088_2024-03-15_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