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
2013-06-25 11:25:14	ga_ls8c_ard_3-0-0_111067_2013-06-25_final
2013-12-02 11:24:55	ga_ls8c_ard_3-0-0_111067_2013-12-02_final
2014-01-20 10:32:24	ga_ls8c_ard_3-0-0_102076_2014-01-20_final
2014-03-01 09:38:52	ga_ls8c_ard_3-0-0_094067_2014-03-01_final
2014-03-26 09:34:44	ga_ls8c_ard_3-0-0_093073_2014-03-26_final
2014-05-13 11:13:18	ga_ls8c_ard_3-0-0_109074_2014-05-13_final
2014-05-22 11:07:27	ga_ls8c_ard_3-0-0_108075_2014-05-22_final
2014-05-29 11:13:17	ga_ls8c_ard_3-0-0_109074_2014-05-29_final
2014-06-14 09:34:09	ga_ls8c_ard_3-0-0_093073_2014-06-14_final
2014-08-01 11:14:29	ga_ls8c_ard_3-0-0_109076_2014-08-01_final
2014-08-24 09:39:54	ga_ls8c_ard_3-0-0_094071_2014-08-24_final
2014-11-21 09:32:36	ga_ls8c_ard_3-0-0_093068_2014-11-21_final
2015-01-08 09:34:06	ga_ls8c_ard_3-0-0_093072_2015-01-08_final
2015-02-28 11:41:37	ga_ls8c_ard_3-0-0_114067_2015-02-28_final
2015-03-14 10:18:54	ga_ls8c_ard_3-0-0_100077_2015-03-14_final
2015-05-05 09:50:33	ga_ls8c_ard_3-0-0_096069_2015-05-05_final
2015-05-16 11:13:32	ga_ls8c_ard_3-0-0_109076_2015-05-16_final
2015-06-17 11:13:49	ga_ls8c_ard_3-0-0_109076_2015-06-17_final
2015-06-24 11:16:26	ga_ls8c_ard_3-0-0_110067_2015-06-24_final
2015-07-16 10:45:34	ga_ls8c_ard_3-0-0_104082_2015-07-16_final
2015-07-19 11:14:06	ga_ls8c_ard_3-0-0_109076_2015-07-19_final
2015-08-02 11:28:06	ga_ls8c_ard_3-0-0_111080_2015-08-02_final
2016-07-05 09:37:31	ga_ls8c_ard_3-0-0_093081_2016-07-05_final
2016-07-05 11:14:24	ga_ls8c_ard_3-0-0_109076_2016-07-05_final
2016-08-29 11:22:52	ga_ls8c_ard_3-0-0_110081_2016-08-29_final
2017-01-16 10:03:54	ga_ls8c_ard_3-0-0_098069_2017-01-16_final
2017-01-31 11:03:25	ga_ls8c_ard_3-0-0_107079_2017-01-31_final
2017-03-12 10:08:53	ga_ls8c_ard_3-0-0_099067_2017-03-12_final
2017-05-03 09:45:17	ga_ls8c_ard_3-0-0_095071_2017-05-03_final
2017-05-10 11:30:02	ga_ls8c_ard_3-0-0_112070_2017-05-10_final
2017-06-11 09:51:28	ga_ls8c_ard_3-0-0_096070_2017-06-11_final
2017-06-17 10:57:42	ga_ls8c_ard_3-0-0_106081_2017-06-17_final
2017-07-16 10:22:31	ga_ls8c_ard_3-0-0_101070_2017-07-16_final
2017-09-26 11:17:07	ga_ls8c_ard_3-0-0_109082_2017-09-26_final
2017-10-10 11:30:21	ga_ls8c_ard_3-0-0_111084_2017-10-10_final
2017-10-29 11:58:53	ga_ls8c_ard_3-0-0_116078_2017-10-29_final
2017-11-04 11:17:24	ga_ls8c_ard_3-0-0_110067_2017-11-04_final
2017-11-13 11:13:59	ga_ls8c_ard_3-0-0_109074_2017-11-13_final
2018-02-24 11:21:39	ga_ls8c_ard_3-0-0_110079_2018-02-24_final
2018-05-01 11:07:07	ga_ls8c_ard_3-0-0_108075_2018-05-01_final
2018-05-16 10:26:53	ga_ls8c_ard_3-0-0_101083_2018-05-16_final
2018-05-24 11:13:25	ga_ls8c_ard_3-0-0_109076_2018-05-24_final
2018-06-10 10:18:08	ga_ls8c_ard_3-0-0_100077_2018-06-10_final
2018-06-17 10:25:59	ga_ls8c_ard_3-0-0_101081_2018-06-17_final
2018-08-13 10:18:43	ga_ls8c_ard_3-0-0_100077_2018-08-13_final
2018-09-26 09:06:02	ga_ls8c_ard_3-0-0_088080_2018-09-25_final
2018-12-06 10:49:18	ga_ls8c_ard_3-0-0_105075_2018-12-06_final
2018-12-14 11:35:31	ga_ls8c_ard_3-0-0_113067_2018-12-14_final
2019-03-09 10:18:56	ga_ls8c_ard_3-1-0_100077_2019-03-09_final
2019-03-27 10:05:18	ga_ls8c_ard_3-1-0_098074_2019-03-27_final
2019-04-09 11:13:14	ga_ls8c_ard_3-1-0_109074_2019-04-09_final
2019-10-02 11:14:05	ga_ls8c_ard_3-1-0_109074_2019-10-02_final
2020-02-10 10:04:12	ga_ls8c_ard_3-1-0_098070_2020-02-10_final
2020-04-02 09:39:54	ga_ls8c_ard_3-1-0_094072_2020-04-02_final
2020-04-07 11:38:06	ga_ls8c_ard_3-1-0_113074_2020-04-07_final
2020-04-11 09:31:41	ga_ls8c_ard_3-1-0_093067_2020-04-11_final
2020-09-02 09:32:13	ga_ls8c_ard_3-1-0_093067_2020-09-02_final
2020-09-09 11:17:19	ga_ls8c_ard_3-1-0_110067_2020-09-09_final
2020-09-18 11:14:23	ga_ls8c_ard_3-1-0_109075_2020-09-18_final
2020-10-20 09:40:46	ga_ls8c_ard_3-1-0_093088_2020-10-20_final
2020-10-20 11:14:04	ga_ls8c_ard_3-1-0_109074_2020-10-20_final
2021-01-02 10:09:48	ga_ls8c_ard_3-2-0_099068_2021-01-02_final
2021-04-07 09:26:01	ga_ls8c_ard_3-2-0_092068_2021-04-06_final
2021-06-06 09:57:57	ga_ls8c_ard_3-2-0_096086_2021-06-06_final
2021-07-06 10:09:38	ga_ls8c_ard_3-2-0_098084_2021-07-06_final
2021-08-16 09:57:19	ga_ls8c_ard_3-2-0_097068_2021-08-16_final
2021-09-03 11:24:44	ga_ls8c_ard_3-2-0_111070_2021-09-03_final
2021-09-05 11:14:46	ga_ls8c_ard_3-2-0_109076_2021-09-05_final
2021-09-06 10:19:33	ga_ls8c_ard_3-2-0_100077_2021-09-06_final
2021-09-14 09:26:33	ga_ls8c_ard_3-2-0_092068_2021-09-13_final
2021-12-28 09:21:57	ga_ls8c_ard_3-2-1_091072_2021-12-27_final
2022-03-13 10:45:34	ga_ls8c_ard_3-2-1_104081_2022-03-13_final
2022-04-06 09:57:09	ga_ls8c_ard_3-2-1_096084_2022-04-06_final
2022-04-18 11:57:37	ga_ls8c_ard_3-2-1_116076_2022-04-18_final
2022-04-30 10:42:12	ga_ls8c_ard_3-2-1_104073_2022-04-30_final
2022-05-20 10:19:15	ga_ls8c_ard_3-2-1_100077_2022-05-20_final
2022-06-18 11:26:41	ga_ls8c_ard_3-2-1_111075_2022-06-18_final
2022-08-08 10:19:47	ga_ls8c_ard_3-2-1_100077_2022-08-08_final
2022-10-30 10:53:14	ga_ls8c_ard_3-2-1_105083_2022-10-30_final
2022-10-31 09:56:01	ga_ls8c_ard_3-2-1_096079_2022-10-31_final
2022-11-24 09:06:53	ga_ls8c_ard_3-2-1_088080_2022-11-23_final
2022-12-20 11:21:31	ga_ls8c_ard_3-2-1_110077_2022-12-20_final
2022-12-26 10:43:13	ga_ls8c_ard_3-2-1_104074_2022-12-26_final
2023-01-21 11:21:02	ga_ls8c_ard_3-2-1_110076_2023-01-21_final
2023-01-23 09:31:00	ga_ls8c_ard_3-2-1_092079_2023-01-23_final
2023-01-30 11:14:30	ga_ls8c_ard_3-2-1_109075_2023-01-30_final
2023-02-18 10:04:22	ga_ls8c_ard_3-2-1_098070_2023-02-18_final
2023-02-19 09:12:19	ga_ls8c_ard_3-2-1_089079_2023-02-18_final
2023-03-14 10:53:09	ga_ls8c_ard_3-2-1_106069_2023-03-14_final
2023-04-11 09:39:23	ga_ls8c_ard_3-2-1_094071_2023-04-11_final
2023-05-10 09:10:39	ga_ls8c_ard_3-2-1_089077_2023-05-09_final
2023-06-21 11:23:10	ga_ls8c_ard_3-2-1_111068_2023-06-21_final
2023-06-25 09:27:59	ga_ls8c_ard_3-2-1_091089_2023-06-24_final
2023-06-26 10:02:29	ga_ls8c_ard_3-2-1_098067_2023-06-26_final
2023-07-25 11:13:53	ga_ls8c_ard_3-2-1_109075_2023-07-25_final
2023-09-29 09:23:00	ga_ls8c_ard_3-2-1_091075_2023-09-28_final
2023-11-02 10:52:25	ga_ls8c_ard_3-2-1_105082_2023-11-02_final
2023-12-10 10:15:15	ga_ls8c_ard_3-2-1_099082_2023-12-10_final
2024-01-05 09:11:47	ga_ls8c_ard_3-2-1_089078_2024-01-04_final
2024-02-27 11:07:57	ga_ls8c_ard_3-2-1_108075_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