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
2013-09-16 10:23:16	ga_ls8c_ard_3-0-0_100082_2013-09-16_final
2013-10-01 11:16:00	ga_ls8c_ard_3-0-0_109075_2013-10-01_final
2014-03-05 10:53:22	ga_ls8c_ard_3-0-0_106068_2014-03-05_final
2014-03-05 10:54:33	ga_ls8c_ard_3-0-0_106071_2014-03-05_final
2014-03-16 10:39:56	ga_ls8c_ard_3-0-0_103081_2014-03-16_final
2014-04-17 10:39:21	ga_ls8c_ard_3-0-0_103081_2014-04-17_final
2014-04-28 10:19:30	ga_ls8c_ard_3-0-0_100078_2014-04-28_final
2014-06-12 11:22:59	ga_ls8c_ard_3-0-0_111067_2014-06-12_final
2015-02-26 10:16:42	ga_ls8c_ard_3-0-0_100071_2015-02-26_final
2015-11-30 10:36:00	ga_ls8c_ard_3-0-0_103072_2015-11-30_final
2016-01-27 11:16:59	ga_ls8c_ard_3-0-0_109082_2016-01-27_final
2016-07-19 11:23:16	ga_ls8c_ard_3-0-0_111067_2016-07-19_final
2016-10-07 11:24:46	ga_ls8c_ard_3-0-0_111070_2016-10-07_final
2016-11-14 09:09:39	ga_ls8c_ard_3-2-1_089072_2016-11-13_interim
2016-12-09 09:05:02	ga_ls8c_ard_3-2-1_088076_2016-12-08_interim
2016-12-19 11:18:57	ga_ls8c_ard_3-0-0_110071_2016-12-19_final
2016-12-26 11:23:56	ga_ls8c_ard_3-0-0_111068_2016-12-26_final
2017-01-28 10:33:20	ga_ls8c_ard_3-0-0_102081_2017-01-28_final
2017-01-30 10:21:45	ga_ls8c_ard_3-0-0_100083_2017-01-30_final
2017-03-08 10:34:03	ga_ls8c_ard_3-0-0_103068_2017-03-08_final
2017-03-20 11:03:26	ga_ls8c_ard_3-0-0_107080_2017-03-20_final
2017-07-19 10:52:15	ga_ls8c_ard_3-0-0_106067_2017-07-19_final
2017-09-17 11:18:02	ga_ls8c_ard_3-0-0_110069_2017-09-17_final
2017-11-27 11:24:39	ga_ls8c_ard_3-0-0_111070_2017-11-27_final
2018-02-01 11:13:36	ga_ls8c_ard_3-0-0_109074_2018-02-01_final
2018-03-12 11:17:30	ga_ls8c_ard_3-0-0_110069_2018-03-12_final
2018-06-23 11:25:04	ga_ls8c_ard_3-0-0_111074_2018-06-23_final
2018-06-24 10:27:03	ga_ls8c_ard_3-0-0_102068_2018-06-24_final
2018-08-30 10:59:19	ga_ls8c_ard_3-0-0_107070_2018-08-30_final
2018-12-23 11:31:21	ga_ls8c_ard_3-0-0_112072_2018-12-23_final
2019-03-03 10:52:28	ga_ls8c_ard_3-0-0_106068_2019-03-03_final
2019-06-01 11:30:24	ga_ls8c_ard_3-0-0_112070_2019-06-01_final
2019-07-06 10:25:24	ga_ls8c_ard_3-1-0_101077_2019-07-06_final
2019-07-21 11:17:53	ga_ls8c_ard_3-1-0_110069_2019-07-21_final
2020-06-29 10:27:50	ga_ls8c_ard_3-1-0_102068_2020-06-29_final
2020-07-14 11:25:57	ga_ls8c_ard_3-1-0_111074_2020-07-14_final
2020-08-08 11:20:16	ga_ls8c_ard_3-1-0_110075_2020-08-08_final
2020-08-14 09:07:08	ga_ls8c_ard_3-1-0_088082_2020-08-13_final
2020-08-24 09:45:54	ga_ls8c_ard_3-1-0_094086_2020-08-24_final
2020-12-06 10:33:37	ga_ls8c_ard_3-1-0_102081_2020-12-06_final
2020-12-26 10:10:03	ga_ls8c_ard_3-2-0_098084_2020-12-26_final
2021-02-13 10:49:53	ga_ls8c_ard_3-2-0_105076_2021-02-13_final
2021-02-27 09:22:53	ga_ls8c_ard_3-2-0_091075_2021-02-26_final
2021-02-27 11:04:57	ga_ls8c_ard_3-2-0_107083_2021-02-27_final
2021-02-28 10:09:44	ga_ls8c_ard_3-2-0_098084_2021-02-28_final
2021-03-27 11:23:29	ga_ls8c_ard_3-2-0_111068_2021-03-27_final
2021-03-31 09:27:27	ga_ls8c_ard_3-2-0_091087_2021-03-30_final
2021-04-02 10:49:34	ga_ls8c_ard_3-2-0_105076_2021-04-02_final
2021-04-05 11:18:04	ga_ls8c_ard_3-2-0_110070_2021-04-05_final
2021-04-16 09:28:33	ga_ls8c_ard_3-2-0_091090_2021-04-15_final
2021-05-14 09:43:59	ga_ls8c_ard_3-2-0_095067_2021-05-14_final
2021-06-09 10:25:17	ga_ls8c_ard_3-2-0_101077_2021-06-09_final
2021-06-11 11:51:01	ga_ls8c_ard_3-2-0_115075_2021-06-11_final
2021-07-03 11:14:25	ga_ls8c_ard_3-2-0_109076_2021-07-03_final
2021-07-07 09:15:37	ga_ls8c_ard_3-2-0_089088_2021-07-06_final
2021-07-20 11:57:20	ga_ls8c_ard_3-2-0_116075_2021-07-20_final
2021-07-20 11:57:44	ga_ls8c_ard_3-2-0_116076_2021-07-20_final
2021-08-11 09:39:57	ga_ls8c_ard_3-2-0_094071_2021-08-11_final
2021-08-24 10:49:35	ga_ls8c_ard_3-2-0_105075_2021-08-24_final
2021-12-07 10:40:47	ga_ls8c_ard_3-2-1_104068_2021-12-07_final
2021-12-14 10:46:57	ga_ls8c_ard_3-2-1_105068_2021-12-14_final
2022-01-29 09:22:37	ga_ls8c_ard_3-2-1_091074_2022-01-28_final
2022-04-04 10:09:29	ga_ls8c_ard_3-2-1_098084_2022-04-04_final
2022-06-24 09:11:33	ga_ls8c_ard_3-2-1_089077_2022-06-23_final
2022-06-24 10:49:38	ga_ls8c_ard_3-2-1_105075_2022-06-24_final
2022-07-08 09:23:07	ga_ls8c_ard_3-2-1_091075_2022-07-07_final
2022-08-17 10:11:15	ga_ls8c_ard_3-2-1_099071_2022-08-17_final
2022-08-26 11:47:57	ga_ls8c_ard_3-2-1_114081_2022-08-26_final
2022-08-28 11:32:00	ga_ls8c_ard_3-2-1_112072_2022-08-28_final
2022-09-20 10:01:48	ga_ls8c_ard_3-2-1_097078_2022-09-20_final
2022-10-10 09:34:59	ga_ls8c_ard_3-2-1_093073_2022-10-10_final
2022-10-15 11:36:46	ga_ls8c_ard_3-2-1_112084_2022-10-15_final
2022-11-04 09:34:30	ga_ls8c_ard_3-2-1_092087_2022-11-04_final
2022-11-17 10:34:46	ga_ls8c_ard_3-2-1_103068_2022-11-17_final
2022-12-02 11:32:02	ga_ls8c_ard_3-2-1_112072_2022-12-02_final
2022-12-11 11:30:36	ga_ls8c_ard_3-2-1_111084_2022-12-11_final
2023-01-18 09:11:35	ga_ls8c_ard_3-2-1_089077_2023-01-17_final
2023-03-01 11:25:45	ga_ls8c_ard_3-2-1_111073_2023-03-01_final
2023-03-05 09:22:31	ga_ls8c_ard_3-2-1_091074_2023-03-04_final
2023-04-10 10:33:50	ga_ls8c_ard_3-2-1_103068_2023-04-10_final
2023-05-25 10:02:39	ga_ls8c_ard_3-2-1_098068_2023-05-25_final
2023-06-11 09:09:33	ga_ls8c_ard_3-2-1_089074_2023-06-10_final
2023-06-11 09:09:57	ga_ls8c_ard_3-2-1_089075_2023-06-10_final
2023-06-11 10:48:26	ga_ls8c_ard_3-2-1_105074_2023-06-11_final
2023-07-15 10:39:32	ga_ls8c_ard_3-2-1_103082_2023-07-15_final
2023-08-10 11:13:35	ga_ls8c_ard_3-2-1_109074_2023-08-10_final
2023-09-01 10:39:26	ga_ls8c_ard_3-2-1_103081_2023-09-01_final
2023-09-06 10:55:33	ga_ls8c_ard_3-2-1_106075_2023-09-06_final
2023-09-20 11:11:12	ga_ls8c_ard_3-2-1_108083_2023-09-20_final
2023-09-22 09:16:46	ga_ls8c_ard_3-2-1_090075_2023-09-21_final
2023-09-27 09:34:33	ga_ls8c_ard_3-2-1_093073_2023-09-27_final
2023-11-28 09:52:14	ga_ls8c_ard_3-2-1_095086_2023-11-28_final
2023-11-30 09:39:27	ga_ls8c_ard_3-2-1_093085_2023-11-30_final
2023-12-02 11:05:08	ga_ls8c_ard_3-2-1_107083_2023-12-02_final
2023-12-03 10:05:07	ga_ls8c_ard_3-2-1_098072_2023-12-03_final
2023-12-03 10:09:54	ga_ls8c_ard_3-2-1_098084_2023-12-03_final
2023-12-26 11:52:36	ga_ls8c_ard_3-2-1_115078_2023-12-26_final
2024-01-18 10:19:49	ga_ls8c_ard_3-2-1_100078_2024-01-18_final
2024-02-28 10:09:32	ga_ls8c_ard_3-2-1_099068_2024-02-28_final
2024-02-29 10:53:35	ga_ls8c_ard_3-2-1_106070_2024-02-29_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