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
2013-08-28 09:49:15	ga_ls8c_ard_3-0-0_095074_2013-08-28_final
2014-06-12 11:28:34	ga_ls8c_ard_3-0-0_111081_2014-06-12_final
2014-08-06 11:31:29	ga_ls8c_ard_3-0-0_112072_2014-08-06_final
2014-09-23 11:32:21	ga_ls8c_ard_3-0-0_112074_2014-09-23_final
2014-12-21 11:29:00	ga_ls8c_ard_3-0-0_111081_2014-12-21_final
2015-02-22 09:07:20	ga_ls8c_ard_3-0-0_088083_2015-02-21_final
2015-11-27 11:41:59	ga_ls8c_ard_3-0-0_114067_2015-11-27_final
2016-06-24 11:29:39	ga_ls8c_ard_3-0-0_112068_2016-06-24_final
2016-07-03 11:26:21	ga_ls8c_ard_3-0-0_111075_2016-07-03_final
2016-12-31 11:47:39	ga_ls8c_ard_3-0-0_114081_2016-12-31_final
2017-02-03 11:32:17	ga_ls8c_ard_3-0-0_112074_2017-02-03_final
2017-04-17 09:45:50	ga_ls8c_ard_3-0-0_095072_2017-04-17_final
2017-08-14 11:31:31	ga_ls8c_ard_3-0-0_112072_2017-08-14_final
2018-03-26 11:29:22	ga_ls8c_ard_3-0-0_112068_2018-03-26_final
2018-04-04 11:25:07	ga_ls8c_ard_3-0-0_111073_2018-04-04_final
2018-04-09 11:41:13	ga_ls8c_ard_3-0-0_114067_2018-04-09_final
2018-04-18 11:41:19	ga_ls8c_ard_3-0-0_113083_2018-04-18_final
2018-05-02 11:52:21	ga_ls8c_ard_3-0-0_115080_2018-05-02_final
2018-05-13 11:30:30	ga_ls8c_ard_3-0-0_112072_2018-05-13_final
2018-10-02 11:41:35	ga_ls8c_ard_3-0-0_114067_2018-10-02_final
2018-10-18 11:41:41	ga_ls8c_ard_3-0-0_114067_2018-10-18_final
2018-12-12 11:52:40	ga_ls8c_ard_3-0-0_115079_2018-12-12_final
2019-06-25 09:06:13	ga_ls8c_ard_3-1-0_088080_2019-06-24_final
2019-07-28 09:52:25	ga_ls8c_ard_3-1-0_095087_2019-07-28_final
2019-11-24 11:31:47	ga_ls8c_ard_3-1-0_112072_2019-11-24_final
2019-12-08 11:47:44	ga_ls8c_ard_3-1-0_114081_2019-12-08_final
2020-01-20 09:50:57	ga_ls8c_ard_3-1-0_095083_2020-01-20_final
2020-04-25 09:45:08	ga_ls8c_ard_3-1-0_095070_2020-04-25_final
2020-04-30 11:46:54	ga_ls8c_ard_3-1-0_114081_2020-04-30_final
2020-06-28 11:24:15	ga_ls8c_ard_3-1-0_111070_2020-06-28_final
2020-07-13 09:07:23	ga_ls8c_ard_3-1-0_088083_2020-07-12_final
2020-09-07 11:31:40	ga_ls8c_ard_3-1-0_112072_2020-09-07_final
2020-11-19 11:24:48	ga_ls8c_ard_3-1-0_111070_2020-11-19_final
2021-03-07 10:11:03	ga_ls8c_ard_3-2-0_099072_2021-03-07_final
2021-03-26 10:42:13	ga_ls8c_ard_3-2-0_104073_2021-03-26_final
2021-04-09 10:55:43	ga_ls8c_ard_3-2-0_106076_2021-04-09_final
2021-05-01 11:57:20	ga_ls8c_ard_3-2-0_116076_2021-05-01_final
2021-05-07 11:20:11	ga_ls8c_ard_3-2-0_110076_2021-05-07_final
2021-05-10 10:13:26	ga_ls8c_ard_3-2-0_099079_2021-05-10_final
2021-05-23 11:17:35	ga_ls8c_ard_3-2-0_110069_2021-05-23_final
2021-06-01 11:17:04	ga_ls8c_ard_3-2-0_109083_2021-06-01_final
2021-07-03 09:33:33	ga_ls8c_ard_3-2-0_093071_2021-07-03_final
2021-07-20 10:19:15	ga_ls8c_ard_3-2-0_100077_2021-07-20_final
2021-10-16 11:09:34	ga_ls8c_ard_3-2-0_108078_2021-10-16_final
2021-10-17 10:13:57	ga_ls8c_ard_3-2-0_099078_2021-10-17_final
2021-10-31 10:27:06	ga_ls8c_ard_3-2-0_101080_2021-10-31_final
2021-11-02 11:53:13	ga_ls8c_ard_3-2-0_115079_2021-11-02_final
2021-11-24 09:34:47	ga_ls8c_ard_3-2-0_093073_2021-11-24_final
2021-12-17 09:40:10	ga_ls8c_ard_3-2-1_094071_2021-12-17_final
2021-12-20 11:53:08	ga_ls8c_ard_3-2-1_115079_2021-12-20_final
2021-12-21 09:17:01	ga_ls8c_ard_3-2-1_090075_2021-12-20_final
2022-01-09 11:23:56	ga_ls8c_ard_3-2-1_111068_2022-01-09_final
2022-02-13 10:22:11	ga_ls8c_ard_3-2-1_100084_2022-02-13_final
2022-02-18 10:39:29	ga_ls8c_ard_3-2-1_103081_2022-02-18_final
2022-03-02 09:22:06	ga_ls8c_ard_3-2-1_091073_2022-03-01_final
2022-03-10 10:13:06	ga_ls8c_ard_3-2-1_099077_2022-03-10_final
2022-03-16 11:13:39	ga_ls8c_ard_3-2-1_109074_2022-03-16_final
2022-04-04 10:02:42	ga_ls8c_ard_3-2-1_098067_2022-04-04_final
2022-04-04 10:03:54	ga_ls8c_ard_3-2-1_098070_2022-04-04_final
2022-04-19 10:59:36	ga_ls8c_ard_3-2-1_107070_2022-04-19_final
2022-05-29 10:09:52	ga_ls8c_ard_3-2-1_099069_2022-05-29_final
2022-06-10 10:37:33	ga_ls8c_ard_3-2-1_103076_2022-06-10_final
2022-07-21 10:33:57	ga_ls8c_ard_3-2-1_102082_2022-07-21_final
2022-07-24 09:22:25	ga_ls8c_ard_3-2-1_091073_2022-07-23_final
2022-08-18 10:58:07	ga_ls8c_ard_3-2-1_106080_2022-08-18_final
2022-08-21 09:48:08	ga_ls8c_ard_3-2-1_095075_2022-08-21_final
2022-08-27 10:50:20	ga_ls8c_ard_3-2-1_105076_2022-08-27_final
2022-09-06 11:25:03	ga_ls8c_ard_3-2-1_111070_2022-09-06_final
2022-10-03 09:28:29	ga_ls8c_ard_3-2-1_092072_2022-10-02_final
2022-10-06 11:42:38	ga_ls8c_ard_3-2-1_113083_2022-10-06_final
2022-10-28 09:23:31	ga_ls8c_ard_3-2-1_091075_2022-10-27_final
2022-12-04 11:18:28	ga_ls8c_ard_3-2-1_110069_2022-12-04_final
2022-12-27 11:24:30	ga_ls8c_ard_3-2-1_111069_2022-12-27_final
2023-01-16 09:24:23	ga_ls8c_ard_3-2-1_091078_2023-01-15_final
2023-03-11 10:27:27	ga_ls8c_ard_3-2-1_101082_2023-03-11_final
2023-03-12 11:07:55	ga_ls8c_ard_3-2-1_108075_2023-03-12_final
2023-03-30 09:20:53	ga_ls8c_ard_3-2-1_090086_2023-03-29_final
2023-04-09 11:31:04	ga_ls8c_ard_3-2-1_112072_2023-04-09_final
2023-05-17 09:21:57	ga_ls8c_ard_3-2-1_090090_2023-05-16_final
2023-05-25 10:02:39	ga_ls8c_ard_3-2-1_098068_2023-05-25_final
2023-06-01 10:13:13	ga_ls8c_ard_3-2-1_099079_2023-06-01_final
2023-06-29 10:39:01	ga_ls8c_ard_3-2-1_103081_2023-06-29_final
2023-06-30 11:21:06	ga_ls8c_ard_3-2-1_110078_2023-06-30_final
2023-07-12 11:47:07	ga_ls8c_ard_3-2-1_114081_2023-07-12_final
2023-07-16 11:17:37	ga_ls8c_ard_3-2-1_110069_2023-07-16_final
2023-07-21 09:56:28	ga_ls8c_ard_3-2-1_097067_2023-07-21_final
2023-08-01 11:23:44	ga_ls8c_ard_3-2-1_110084_2023-08-01_final
2023-08-18 10:27:02	ga_ls8c_ard_3-2-1_101081_2023-08-18_final
2023-08-24 09:46:00	ga_ls8c_ard_3-2-1_095071_2023-08-24_final
2023-12-01 10:17:06	ga_ls8c_ard_3-2-1_100071_2023-12-01_final
2023-12-07 11:19:35	ga_ls8c_ard_3-2-1_110073_2023-12-07_final
2023-12-10 10:09:15	ga_ls8c_ard_3-2-1_099067_2023-12-10_final
2023-12-16 11:17:07	ga_ls8c_ard_3-2-1_109082_2023-12-16_final
2023-12-21 11:36:05	ga_ls8c_ard_3-2-1_112083_2023-12-21_final
2024-01-03 09:22:11	ga_ls8c_ard_3-2-1_091073_2024-01-02_final
2024-01-03 12:37:33	ga_ls8c_ard_3-2-1_123067_2024-01-03_final
2024-01-08 09:40:43	ga_ls8c_ard_3-2-1_094073_2024-01-08_final
2024-01-15 11:23:49	ga_ls8c_ard_3-2-1_111068_2024-01-15_final
2024-03-07 09:21:33	ga_ls8c_ard_3-2-1_091072_2024-03-06_final
2024-03-11 10:36:30	ga_ls8c_ard_3-2-1_103074_2024-03-11_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