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
2013-07-13 11:16:07	ga_ls8c_ard_3-0-0_109075_2013-07-13_final
2013-11-01 10:34:59	ga_ls8c_ard_3-0-0_102081_2013-11-01_final
2013-12-03 10:35:17	ga_ls8c_ard_3-0-0_102082_2013-12-03_final
2014-01-05 11:13:05	ga_ls8c_ard_3-0-0_109069_2014-01-05_final
2014-01-16 10:56:44	ga_ls8c_ard_3-0-0_106075_2014-01-16_final
2014-03-26 11:12:01	ga_ls8c_ard_3-0-0_109069_2014-03-26_final
2014-10-03 10:33:26	ga_ls8c_ard_3-0-0_102081_2014-10-03_final
2014-12-26 11:41:56	ga_ls8c_ard_3-0-0_114067_2014-12-26_final
2015-04-24 11:52:32	ga_ls8c_ard_3-0-0_115080_2015-04-24_final
2015-07-28 11:07:33	ga_ls8c_ard_3-0-0_108075_2015-07-28_final
2015-08-02 11:22:55	ga_ls8c_ard_3-0-0_111067_2015-08-02_final
2016-04-10 11:52:49	ga_ls8c_ard_3-0-0_115080_2016-04-10_final
2016-04-16 11:13:42	ga_ls8c_ard_3-1-0_109075_2016-04-16_final
2016-07-16 10:52:21	ga_ls8c_ard_3-0-0_106067_2016-07-16_final
2016-10-02 11:10:59	ga_ls8c_ard_3-0-0_108082_2016-10-02_final
2016-10-09 11:14:25	ga_ls8c_ard_3-0-0_109075_2016-10-09_final
2017-01-24 10:54:06	ga_ls8c_ard_3-0-0_106071_2017-01-24_final
2017-01-24 10:55:41	ga_ls8c_ard_3-0-0_106075_2017-01-24_final
2017-11-07 11:53:29	ga_ls8c_ard_3-0-0_115080_2017-11-07_final
2018-01-09 11:10:50	ga_ls8c_ard_3-0-0_108082_2018-01-09_final
2018-02-13 11:37:28	ga_ls8c_ard_3-0-0_113072_2018-02-13_final
2018-02-15 11:23:54	ga_ls8c_ard_3-0-0_111069_2018-02-15_final
2018-04-06 11:11:08	ga_ls8c_ard_3-0-0_109069_2018-04-06_final
2018-05-20 11:36:36	ga_ls8c_ard_3-0-0_113072_2018-05-20_final
2018-07-11 11:12:52	ga_ls8c_ard_3-0-0_109074_2018-07-11_final
2018-10-09 11:52:12	ga_ls8c_ard_3-0-0_115078_2018-10-09_final
2018-11-25 11:07:52	ga_ls8c_ard_3-0-0_108075_2018-11-25_final
2019-01-19 11:11:33	ga_ls8c_ard_3-0-0_109069_2019-01-19_final
2019-04-22 10:41:50	ga_ls8c_ard_3-0-0_104073_2019-04-22_final
2019-05-06 10:55:03	ga_ls8c_ard_3-0-0_106075_2019-05-06_final
2019-05-20 11:07:34	ga_ls8c_ard_3-0-0_108075_2019-05-20_final
2019-06-01 11:30:24	ga_ls8c_ard_3-0-0_112070_2019-06-01_final
2019-08-15 11:14:15	ga_ls8c_ard_3-1-0_109075_2019-08-15_final
2019-09-21 11:30:11	ga_ls8c_ard_3-1-0_112068_2019-09-21_final
2019-11-01 11:24:53	ga_ls8c_ard_3-1-0_111070_2019-11-01_final
2019-11-17 11:24:26	ga_ls8c_ard_3-1-0_111069_2019-11-17_final
2019-11-30 10:58:18	ga_ls8c_ard_3-1-0_106081_2019-11-30_final
2019-12-07 11:05:16	ga_ls8c_ard_3-1-0_107083_2019-12-07_final
2019-12-09 10:49:43	ga_ls8c_ard_3-1-0_105075_2019-12-09_final
2020-03-05 10:52:43	ga_ls8c_ard_3-1-0_106068_2020-03-05_final
2020-04-06 10:55:14	ga_ls8c_ard_3-1-0_106075_2020-04-06_final
2020-05-11 11:23:29	ga_ls8c_ard_3-1-0_111069_2020-05-11_final
2020-09-25 11:18:36	ga_ls8c_ard_3-1-0_110070_2020-09-25_final
2020-12-16 11:07:53	ga_ls8c_ard_3-1-0_108074_2020-12-16_final
2021-01-20 09:58:54	ga_ls8c_ard_3-2-0_097072_2021-01-20_final
2021-01-21 09:07:40	ga_ls8c_ard_3-2-0_088083_2021-01-20_final
2021-02-07 09:52:06	ga_ls8c_ard_3-2-0_095086_2021-02-07_final
2021-03-07 11:53:08	ga_ls8c_ard_3-2-0_115080_2021-03-07_final
2021-04-18 09:10:59	ga_ls8c_ard_3-2-0_089077_2021-04-17_final
2021-04-18 10:49:28	ga_ls8c_ard_3-2-0_105076_2021-04-18_final
2021-06-26 09:33:44	ga_ls8c_ard_3-2-0_092087_2021-06-26_final
2021-07-01 09:45:30	ga_ls8c_ard_3-2-0_095070_2021-07-01_final
2021-07-24 09:51:23	ga_ls8c_ard_3-2-0_096069_2021-07-24_final
2021-08-15 10:55:44	ga_ls8c_ard_3-2-0_106075_2021-08-15_final
2021-09-12 11:20:11	ga_ls8c_ard_3-2-0_110074_2021-09-12_final
2021-09-26 09:58:29	ga_ls8c_ard_3-2-0_096086_2021-09-26_final
2021-10-16 09:28:17	ga_ls8c_ard_3-2-0_092072_2021-10-15_final
2021-10-30 09:40:39	ga_ls8c_ard_3-2-0_094072_2021-10-30_final
2021-11-02 11:53:13	ga_ls8c_ard_3-2-0_115079_2021-11-02_final
2021-12-30 10:49:39	ga_ls8c_ard_3-2-1_105075_2021-12-30_final
2022-01-13 09:22:19	ga_ls8c_ard_3-2-1_091073_2022-01-12_final
2022-02-02 10:34:23	ga_ls8c_ard_3-2-1_103068_2022-02-02_final
2022-02-10 11:24:36	ga_ls8c_ard_3-2-1_111070_2022-02-10_final
2022-02-12 11:13:49	ga_ls8c_ard_3-2-1_109074_2022-02-12_final
2022-03-06 10:34:15	ga_ls8c_ard_3-2-1_103068_2022-03-06_final
2022-03-31 10:33:00	ga_ls8c_ard_3-2-1_102081_2022-03-31_final
2022-05-07 10:48:52	ga_ls8c_ard_3-2-1_105074_2022-05-07_final
2022-05-11 10:27:22	ga_ls8c_ard_3-2-1_101082_2022-05-11_final
2022-05-21 09:22:25	ga_ls8c_ard_3-2-1_091074_2022-05-20_final
2022-07-10 10:50:02	ga_ls8c_ard_3-2-1_105076_2022-07-10_final
2022-07-20 11:25:10	ga_ls8c_ard_3-2-1_111071_2022-07-20_final
2022-10-08 11:25:04	ga_ls8c_ard_3-2-1_111070_2022-10-08_final
2022-10-26 11:18:20	ga_ls8c_ard_3-2-1_109084_2022-10-26_final
2022-11-04 11:08:11	ga_ls8c_ard_3-2-1_108074_2022-11-04_final
2022-11-12 10:22:17	ga_ls8c_ard_3-2-1_100083_2022-11-12_final
2022-12-27 11:24:54	ga_ls8c_ard_3-2-1_111070_2022-12-27_final
2023-01-23 09:34:12	ga_ls8c_ard_3-2-1_092087_2023-01-23_final
2023-02-02 10:05:20	ga_ls8c_ard_3-2-1_098072_2023-02-02_final
2023-02-15 09:34:19	ga_ls8c_ard_3-2-1_093072_2023-02-15_final
2023-02-25 10:09:11	ga_ls8c_ard_3-2-1_099067_2023-02-25_final
2023-05-17 10:54:50	ga_ls8c_ard_3-2-1_106075_2023-05-17_final
2023-06-06 10:33:02	ga_ls8c_ard_3-2-1_102082_2023-06-06_final
2023-06-20 09:07:00	ga_ls8c_ard_3-2-1_088083_2023-06-19_final
2023-07-25 09:33:25	ga_ls8c_ard_3-2-1_093071_2023-07-25_final
2023-08-01 09:40:04	ga_ls8c_ard_3-2-1_094072_2023-08-01_final
2023-08-08 11:24:45	ga_ls8c_ard_3-2-1_111071_2023-08-08_final
2023-08-17 09:39:46	ga_ls8c_ard_3-2-1_094071_2023-08-17_final
2023-08-24 11:24:05	ga_ls8c_ard_3-2-1_111069_2023-08-24_final
2023-09-25 09:46:06	ga_ls8c_ard_3-2-1_095071_2023-09-25_final
2023-09-27 09:34:09	ga_ls8c_ard_3-2-1_093072_2023-09-27_final
2023-10-17 10:49:57	ga_ls8c_ard_3-2-1_105076_2023-10-17_final
2023-12-07 09:40:18	ga_ls8c_ard_3-2-1_094072_2023-12-07_final
2023-12-14 11:24:40	ga_ls8c_ard_3-2-1_111070_2023-12-14_final
2023-12-20 09:10:44	ga_ls8c_ard_3-2-1_089075_2023-12-19_final
2023-12-25 11:08:09	ga_ls8c_ard_3-2-1_108075_2023-12-25_final
2024-01-01 11:11:52	ga_ls8c_ard_3-2-1_109069_2024-01-01_final
2024-01-20 10:09:50	ga_ls8c_ard_3-2-1_098084_2024-01-20_final
2024-02-18 11:12:36	ga_ls8c_ard_3-2-1_109071_2024-02-18_final
2024-02-19 10:19:22	ga_ls8c_ard_3-2-1_100077_2024-02-19_final
2024-02-25 11:18:21	ga_ls8c_ard_3-2-1_110070_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years