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
2013-04-22 11:31:28	ga_ls8c_ard_3-0-0_111083_2013-04-22_final
2014-02-03 09:08:10	ga_ls8c_ard_3-0-0_088082_2014-02-02_final
2014-03-13 11:47:33	ga_ls8c_ard_3-0-0_114080_2014-03-13_final
2014-05-27 09:45:09	ga_ls8c_ard_3-0-0_095070_2014-05-27_final
2014-11-26 11:31:39	ga_ls8c_ard_3-0-0_112072_2014-11-26_final
2015-01-02 11:53:14	ga_ls8c_ard_3-0-0_115080_2015-01-02_final
2015-03-20 09:40:12	ga_ls8c_ard_3-0-0_094073_2015-03-20_final
2015-03-20 11:23:28	ga_ls8c_ard_3-0-0_110084_2015-03-20_final
2015-04-28 09:45:41	ga_ls8c_ard_3-0-0_095072_2015-04-28_final
2015-11-25 11:57:32	ga_ls8c_ard_3-0-0_116075_2015-11-25_final
2016-10-10 11:57:41	ga_ls8c_ard_3-0-0_116075_2016-10-10_final
2016-10-12 11:47:44	ga_ls8c_ard_3-0-0_114081_2016-10-12_final
2016-12-01 11:36:11	ga_ls8c_ard_3-0-0_112083_2016-12-01_final
2017-02-08 11:51:11	ga_ls8c_ard_3-0-0_115075_2017-02-08_final
2017-03-12 11:52:57	ga_ls8c_ard_3-0-0_115080_2017-03-12_final
2017-05-18 09:05:48	ga_ls8c_ard_3-0-0_088080_2017-05-17_final
2017-11-04 09:46:30	ga_ls8c_ard_3-0-0_094087_2017-11-04_final
2018-02-08 11:23:44	ga_ls8c_ard_3-0-0_110084_2018-02-08_final
2018-04-18 11:36:56	ga_ls8c_ard_3-0-0_113072_2018-04-18_final
2018-05-02 11:50:22	ga_ls8c_ard_3-0-0_115075_2018-05-02_final
2018-06-14 11:30:21	ga_ls8c_ard_3-0-0_112072_2018-06-14_final
2018-06-26 11:56:24	ga_ls8c_ard_3-0-0_116075_2018-06-26_final
2018-06-26 11:56:48	ga_ls8c_ard_3-0-0_116076_2018-06-26_final
2018-07-02 11:21:46	ga_ls8c_ard_3-0-0_110081_2018-07-02_final
2018-07-18 11:19:29	ga_ls8c_ard_3-0-0_110075_2018-07-18_final
2018-10-29 09:45:31	ga_ls8c_ard_3-0-0_095070_2018-10-29_final
2018-11-23 09:40:33	ga_ls8c_ard_3-0-0_094073_2018-11-23_final
2019-01-06 11:41:42	ga_ls8c_ard_3-0-0_114067_2019-01-06_final
2019-06-26 11:24:22	ga_ls8c_ard_3-1-0_111070_2019-06-26_final
2019-07-08 11:53:08	ga_ls8c_ard_3-1-0_115080_2019-07-08_final
2019-09-07 11:20:31	ga_ls8c_ard_3-1-0_110075_2019-09-07_final
2019-11-24 11:36:34	ga_ls8c_ard_3-1-0_112084_2019-11-24_final
2020-03-20 11:53:01	ga_ls8c_ard_3-1-0_115080_2020-03-20_final
2020-07-10 11:53:02	ga_ls8c_ard_3-1-0_115080_2020-07-10_final
2020-08-08 09:43:47	ga_ls8c_ard_3-1-0_094081_2020-08-08_final
2020-09-05 11:47:36	ga_ls8c_ard_3-1-0_114081_2020-09-05_final
2020-09-14 11:37:53	ga_ls8c_ard_3-1-0_113072_2020-09-14_final
2021-03-16 10:03:59	ga_ls8c_ard_3-2-0_098070_2021-03-16_final
2021-06-04 10:09:06	ga_ls8c_ard_3-2-0_098083_2021-06-04_final
2021-06-22 11:31:44	ga_ls8c_ard_3-2-0_112073_2021-06-22_final
2021-08-13 09:28:00	ga_ls8c_ard_3-2-0_092072_2021-08-12_final
2021-08-22 09:26:39	ga_ls8c_ard_3-2-0_091084_2021-08-21_final
2021-08-22 11:05:32	ga_ls8c_ard_3-2-0_107084_2021-08-22_final
2021-09-15 10:13:48	ga_ls8c_ard_3-2-0_099078_2021-09-15_final
2021-10-19 11:36:05	ga_ls8c_ard_3-2-0_113067_2021-10-19_final
2021-10-20 10:46:27	ga_ls8c_ard_3-2-0_104082_2021-10-20_final
2021-11-02 10:15:56	ga_ls8c_ard_3-2-0_099083_2021-11-02_final
2021-11-21 10:46:21	ga_ls8c_ard_3-2-0_104082_2021-11-21_final
2021-11-24 09:34:47	ga_ls8c_ard_3-2-0_093073_2021-11-24_final
2021-12-17 11:18:39	ga_ls8c_ard_3-2-1_110070_2021-12-17_final
2021-12-29 10:03:37	ga_ls8c_ard_3-2-1_098068_2021-12-29_final
2022-01-23 10:03:20	ga_ls8c_ard_3-2-1_097083_2022-01-23_final
2022-03-08 10:22:41	ga_ls8c_ard_3-2-1_101070_2022-03-08_final
2022-03-26 11:53:00	ga_ls8c_ard_3-2-1_115080_2022-03-26_final
2022-05-28 11:07:52	ga_ls8c_ard_3-2-1_108075_2022-05-28_final
2022-06-16 11:40:37	ga_ls8c_ard_3-2-1_113079_2022-06-16_final
2022-06-29 11:11:23	ga_ls8c_ard_3-2-1_108083_2022-06-29_final
2022-06-30 10:12:58	ga_ls8c_ard_3-2-1_099076_2022-06-30_final
2022-07-16 10:10:33	ga_ls8c_ard_3-2-1_099070_2022-07-16_final
2022-07-25 10:09:41	ga_ls8c_ard_3-2-1_098083_2022-07-25_final
2022-07-26 09:10:29	ga_ls8c_ard_3-2-1_089074_2022-07-25_final
2022-09-25 10:19:57	ga_ls8c_ard_3-2-1_100077_2022-09-25_final
2022-09-26 11:05:36	ga_ls8c_ard_3-2-1_107083_2022-09-26_final
2022-11-01 10:39:17	ga_ls8c_ard_3-2-1_103079_2022-11-01_final
2022-11-18 11:24:00	ga_ls8c_ard_3-2-1_110083_2022-11-18_final
2022-11-27 09:40:35	ga_ls8c_ard_3-2-1_093087_2022-11-27_final
2022-12-27 11:30:29	ga_ls8c_ard_3-2-1_111084_2022-12-27_final
2023-01-02 09:12:08	ga_ls8c_ard_3-2-1_089078_2023-01-01_final
2023-01-14 11:12:04	ga_ls8c_ard_3-2-1_109069_2023-01-14_final
2023-02-11 09:58:41	ga_ls8c_ard_3-2-1_097071_2023-02-11_final
2023-03-03 09:33:41	ga_ls8c_ard_3-2-1_093071_2023-03-03_final
2023-03-03 09:34:05	ga_ls8c_ard_3-2-1_093072_2023-03-03_final
2023-03-24 09:52:01	ga_ls8c_ard_3-2-1_096071_2023-03-24_final
2023-03-26 09:40:51	ga_ls8c_ard_3-2-1_094074_2023-03-26_final
2023-04-02 09:47:22	ga_ls8c_ard_3-2-1_095075_2023-04-02_final
2023-05-29 11:19:37	ga_ls8c_ard_3-2-1_110075_2023-05-29_final
2023-06-30 11:19:54	ga_ls8c_ard_3-2-1_110075_2023-06-30_final
2023-07-13 10:51:30	ga_ls8c_ard_3-2-1_105081_2023-07-13_final
2023-07-18 09:27:34	ga_ls8c_ard_3-2-1_092072_2023-07-17_final
2023-08-08 09:52:15	ga_ls8c_ard_3-2-1_095087_2023-08-08_final
2023-09-24 10:42:30	ga_ls8c_ard_3-2-1_104073_2023-09-24_final
2023-10-17 09:14:16	ga_ls8c_ard_3-2-1_089084_2023-10-16_final
2023-10-26 10:42:38	ga_ls8c_ard_3-2-1_104073_2023-10-26_final
2023-10-31 09:22:42	ga_ls8c_ard_3-2-1_091074_2023-10-30_final
2023-11-01 11:47:38	ga_ls8c_ard_3-2-1_114081_2023-11-01_final
2023-11-17 11:47:38	ga_ls8c_ard_3-2-1_114081_2023-11-17_final
2023-11-25 09:16:57	ga_ls8c_ard_3-2-1_090075_2023-11-24_final
2023-11-25 12:31:32	ga_ls8c_ard_3-2-1_122067_2023-11-25_final
2023-12-03 11:47:35	ga_ls8c_ard_3-2-1_114081_2023-12-03_final
2023-12-07 09:40:42	ga_ls8c_ard_3-2-1_094073_2023-12-07_final
2023-12-13 10:40:36	ga_ls8c_ard_3-2-1_104068_2023-12-13_final
2023-12-18 09:22:41	ga_ls8c_ard_3-2-1_091074_2023-12-17_final
2023-12-20 10:52:01	ga_ls8c_ard_3-2-1_105081_2023-12-20_final
2024-01-26 11:06:21	ga_ls8c_ard_3-2-1_108071_2024-01-26_final
2024-02-01 10:33:43	ga_ls8c_ard_3-2-1_102082_2024-02-01_final
2024-02-09 09:41:08	ga_ls8c_ard_3-2-1_094074_2024-02-09_final
2024-02-09 11:24:24	ga_ls8c_ard_3-2-1_110085_2024-02-09_final
2024-02-22 10:48:40	ga_ls8c_ard_3-2-1_105073_2024-02-22_final
2024-02-23 09:54:14	ga_ls8c_ard_3-2-1_096076_2024-02-23_final
2024-02-25 11:23:08	ga_ls8c_ard_3-2-1_110082_2024-02-25_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