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
2013-10-10 09:34:56	ga_ls8c_ard_3-0-0_092085_2013-10-10_final
2013-12-18 11:25:35	ga_ls8c_ard_3-0-0_111069_2013-12-18_final
2014-03-20 10:09:34	ga_ls8c_ard_3-0-0_099067_2014-03-20_final
2014-04-11 09:39:18	ga_ls8c_ard_3-0-0_093085_2014-04-11_final
2014-09-12 10:10:04	ga_ls8c_ard_3-0-0_099069_2014-09-12_final
2014-09-28 10:10:03	ga_ls8c_ard_3-0-0_099069_2014-09-28_final
2014-10-25 11:30:53	ga_ls8c_ard_3-0-0_112070_2014-10-25_final
2015-01-08 09:39:41	ga_ls8c_ard_3-0-0_093086_2015-01-08_final
2015-01-27 10:09:41	ga_ls8c_ard_3-0-0_098084_2015-01-27_final
2015-05-16 11:13:32	ga_ls8c_ard_3-0-0_109076_2015-05-16_final
2015-08-10 10:37:06	ga_ls8c_ard_3-0-0_103076_2015-08-10_final
2015-08-20 11:17:28	ga_ls8c_ard_3-0-0_109084_2015-08-20_final
2016-04-07 09:40:39	ga_ls8c_ard_3-0-0_094074_2016-04-07_final
2016-05-11 11:05:53	ga_ls8c_ard_3-0-0_108071_2016-05-11_final
2016-08-04 11:24:07	ga_ls8c_ard_3-0-0_111069_2016-08-04_final
2016-09-14 09:40:27	ga_ls8c_ard_3-0-0_094072_2016-09-14_final
2016-10-09 11:18:01	ga_ls8c_ard_3-0-0_109084_2016-10-09_final
2016-11-08 11:24:49	ga_ls8c_ard_3-0-0_111070_2016-11-08_final
2016-11-09 10:33:35	ga_ls8c_ard_3-0-0_102081_2016-11-09_final
2017-01-08 10:53:23	ga_ls8c_ard_3-0-0_106069_2017-01-08_final
2017-01-16 10:05:54	ga_ls8c_ard_3-0-0_098074_2017-01-16_final
2017-02-04 10:34:16	ga_ls8c_ard_3-0-0_103068_2017-02-04_final
2017-02-24 10:11:01	ga_ls8c_ard_3-0-0_099072_2017-02-24_final
2017-04-22 10:09:31	ga_ls8c_ard_3-0-0_098085_2017-04-22_final
2017-05-29 10:22:40	ga_ls8c_ard_3-0-0_101071_2017-05-29_final
2017-06-06 11:13:22	ga_ls8c_ard_3-0-0_109074_2017-06-06_final
2017-11-12 10:30:20	ga_ls8c_ard_3-0-0_102073_2017-11-12_final
2017-11-28 10:33:25	ga_ls8c_ard_3-0-0_102081_2017-11-28_final
2017-12-04 11:31:37	ga_ls8c_ard_3-0-0_112072_2017-12-04_final
2017-12-04 11:32:25	ga_ls8c_ard_3-0-0_112074_2017-12-04_final
2018-01-31 10:29:57	ga_ls8c_ard_3-0-0_102073_2018-01-31_final
2018-02-01 09:34:19	ga_ls8c_ard_3-0-0_093073_2018-02-01_final
2018-02-07 10:34:06	ga_ls8c_ard_3-0-0_103068_2018-02-07_final
2018-02-11 10:09:22	ga_ls8c_ard_3-0-0_099068_2018-02-11_final
2018-04-26 10:48:37	ga_ls8c_ard_3-0-0_105075_2018-04-26_final
2018-05-22 11:24:37	ga_ls8c_ard_3-0-0_111073_2018-05-22_final
2018-06-11 11:01:00	ga_ls8c_ard_3-0-0_107076_2018-06-11_final
2018-07-16 11:29:03	ga_ls8c_ard_3-0-0_112068_2018-07-16_final
2018-07-17 10:38:37	ga_ls8c_ard_3-0-0_103081_2018-07-17_final
2018-07-27 11:13:46	ga_ls8c_ard_3-0-0_109076_2018-07-27_final
2018-08-15 10:09:10	ga_ls8c_ard_3-0-0_098084_2018-08-15_final
2018-08-16 10:49:14	ga_ls8c_ard_3-0-0_105076_2018-08-16_final
2018-08-26 09:51:06	ga_ls8c_ard_3-0-0_095085_2018-08-26_final
2018-10-25 10:13:24	ga_ls8c_ard_3-0-0_099078_2018-10-25_final
2018-10-26 10:57:28	ga_ls8c_ard_3-0-0_106080_2018-10-26_final
2018-11-07 11:17:50	ga_ls8c_ard_3-0-0_110069_2018-11-07_final
2018-11-15 10:28:00	ga_ls8c_ard_3-0-0_102068_2018-11-15_final
2018-11-21 09:50:31	ga_ls8c_ard_3-0-0_096067_2018-11-21_final
2018-11-23 09:39:45	ga_ls8c_ard_3-0-0_094071_2018-11-23_final
2018-12-09 09:39:43	ga_ls8c_ard_3-0-0_094071_2018-12-09_final
2019-04-14 09:50:04	ga_ls8c_ard_3-1-0_096067_2019-04-14_final
2019-06-13 10:19:31	ga_ls8c_ard_3-1-0_100078_2019-06-13_final
2019-07-04 10:39:21	ga_ls8c_ard_3-1-0_103081_2019-07-04_final
2019-07-31 10:19:21	ga_ls8c_ard_3-1-0_100077_2019-07-31_final
2019-09-25 09:34:11	ga_ls8c_ard_3-1-0_092087_2019-09-25_final
2019-10-16 11:24:53	ga_ls8c_ard_3-1-0_111070_2019-10-16_final
2019-11-03 09:34:26	ga_ls8c_ard_3-1-0_093072_2019-11-03_final
2020-02-05 11:26:09	ga_ls8c_ard_3-1-0_111074_2020-02-05_final
2020-02-24 10:18:06	ga_ls8c_ard_3-1-0_100074_2020-02-24_final
2020-03-05 10:52:43	ga_ls8c_ard_3-1-0_106068_2020-03-05_final
2020-06-28 11:23:51	ga_ls8c_ard_3-1-0_111069_2020-06-28_final
2020-10-18 09:46:20	ga_ls8c_ard_3-1-0_095071_2020-10-18_final
2021-01-18 10:10:52	ga_ls8c_ard_3-2-0_099071_2021-01-18_final
2021-01-28 09:11:27	ga_ls8c_ard_3-2-0_089077_2021-01-27_final
2021-01-31 09:39:57	ga_ls8c_ard_3-2-0_094071_2021-01-31_final
2021-03-07 10:11:03	ga_ls8c_ard_3-2-0_099072_2021-03-07_final
2021-03-19 10:34:04	ga_ls8c_ard_3-2-0_103068_2021-03-19_final
2021-03-27 11:23:53	ga_ls8c_ard_3-2-0_111069_2021-03-27_final
2021-05-10 10:13:03	ga_ls8c_ard_3-2-0_099078_2021-05-10_final
2021-06-01 09:38:58	ga_ls8c_ard_3-2-0_093085_2021-06-01_final
2021-06-26 11:07:49	ga_ls8c_ard_3-2-0_108075_2021-06-26_final
2021-08-06 09:22:58	ga_ls8c_ard_3-2-0_091075_2021-08-05_final
2021-09-24 10:07:39	ga_ls8c_ard_3-2-0_098078_2021-09-24_final
2021-10-11 10:49:25	ga_ls8c_ard_3-2-0_105074_2021-10-11_final
2021-10-27 09:10:57	ga_ls8c_ard_3-2-0_089075_2021-10-26_final
2021-12-28 09:26:44	ga_ls8c_ard_3-2-1_091084_2021-12-27_final
2022-03-28 11:41:48	ga_ls8c_ard_3-2-1_113083_2022-03-28_final
2022-05-23 09:11:39	ga_ls8c_ard_3-2-1_089078_2022-05-22_final
2022-09-07 10:33:50	ga_ls8c_ard_3-2-1_102081_2022-09-07_final
2022-09-28 10:49:39	ga_ls8c_ard_3-2-1_105074_2022-09-28_final
2022-10-10 09:40:59	ga_ls8c_ard_3-2-1_093088_2022-10-10_final
2022-12-07 10:16:04	ga_ls8c_ard_3-2-1_099083_2022-12-07_final
2022-12-29 09:34:51	ga_ls8c_ard_3-2-1_093073_2022-12-29_final
2023-01-07 09:29:04	ga_ls8c_ard_3-2-1_092074_2023-01-06_final
2023-01-23 11:07:53	ga_ls8c_ard_3-2-1_108074_2023-01-23_final
2023-02-08 11:08:18	ga_ls8c_ard_3-2-1_108075_2023-02-08_final
2023-02-17 09:27:54	ga_ls8c_ard_3-2-1_091087_2023-02-16_final
2023-02-24 09:28:44	ga_ls8c_ard_3-2-1_092074_2023-02-23_final
2023-02-25 11:51:15	ga_ls8c_ard_3-2-1_115075_2023-02-25_final
2023-03-20 10:19:12	ga_ls8c_ard_3-2-1_100077_2023-03-20_final
2023-04-02 11:25:27	ga_ls8c_ard_3-2-1_111073_2023-04-02_final
2023-05-22 11:13:25	ga_ls8c_ard_3-2-1_109075_2023-05-22_final
2023-06-01 10:12:26	ga_ls8c_ard_3-2-1_099077_2023-06-01_final
2023-07-03 10:13:57	ga_ls8c_ard_3-2-1_099080_2023-07-03_final
2023-11-24 10:10:11	ga_ls8c_ard_3-2-1_099069_2023-11-24_final
2023-12-12 11:37:48	ga_ls8c_ard_3-2-1_113072_2023-12-12_final
2023-12-16 11:14:19	ga_ls8c_ard_3-2-1_109075_2023-12-16_final
2023-12-25 09:28:52	ga_ls8c_ard_3-2-1_092074_2023-12-24_final
2024-01-12 10:53:19	ga_ls8c_ard_3-2-1_106069_2024-01-12_final
2024-01-28 09:18:18	ga_ls8c_ard_3-2-1_090079_2024-01-27_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years