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
2013-05-20 10:15:08	ga_ls8c_ard_3-0-0_099077_2013-05-20_final
2013-07-20 09:40:11	ga_ls8c_ard_3-0-0_094067_2013-07-20_final
2013-08-01 10:11:20	ga_ls8c_ard_3-0-0_098083_2013-08-01_final
2013-12-11 11:19:30	ga_ls8c_ard_3-0-0_110069_2013-12-11_final
2014-04-23 09:58:14	ga_ls8c_ard_3-0-0_097071_2014-04-23_final
2014-06-10 09:56:51	ga_ls8c_ard_3-0-0_097068_2014-06-10_final
2014-06-29 10:33:00	ga_ls8c_ard_3-0-0_102081_2014-06-29_final
2014-07-30 09:45:33	ga_ls8c_ard_3-0-0_095070_2014-07-30_final
2014-08-08 11:22:44	ga_ls8c_ard_3-0-0_110081_2014-08-08_final
2014-09-12 11:53:21	ga_ls8c_ard_3-0-0_115080_2014-09-12_final
2014-11-16 10:55:47	ga_ls8c_ard_3-0-0_106075_2014-11-16_final
2014-11-28 11:17:18	ga_ls8c_ard_3-0-0_110067_2014-11-28_final
2014-12-14 11:18:00	ga_ls8c_ard_3-0-0_110069_2014-12-14_final
2014-12-21 09:46:56	ga_ls8c_ard_3-0-0_095073_2014-12-21_final
2014-12-26 11:41:56	ga_ls8c_ard_3-0-0_114067_2014-12-26_final
2015-04-15 10:18:41	ga_ls8c_ard_3-0-0_100077_2015-04-15_final
2015-04-28 11:23:22	ga_ls8c_ard_3-0-0_111069_2015-04-28_final
2015-05-10 10:12:35	ga_ls8c_ard_3-0-0_099078_2015-05-10_final
2015-06-12 10:51:39	ga_ls8c_ard_3-0-0_106067_2015-06-12_final
2015-08-05 10:18:55	ga_ls8c_ard_3-0-0_100077_2015-08-05_final
2015-10-01 10:13:32	ga_ls8c_ard_3-0-0_099078_2015-10-01_final
2015-12-20 11:53:21	ga_ls8c_ard_3-0-0_115080_2015-12-20_final
2016-01-16 11:32:21	ga_ls8c_ard_3-0-0_112074_2016-01-16_final
2016-01-21 11:53:17	ga_ls8c_ard_3-0-0_115080_2016-01-21_final
2016-04-10 10:12:44	ga_ls8c_ard_3-0-0_099077_2016-04-10_final
2016-08-20 09:45:43	ga_ls8c_ard_3-0-0_095070_2016-08-20_final
2016-09-17 11:53:26	ga_ls8c_ard_3-0-0_115080_2016-09-17_final
2016-10-07 11:24:46	ga_ls8c_ard_3-0-0_111070_2016-10-07_final
2017-01-16 10:03:54	ga_ls8c_ard_3-0-0_098069_2017-01-16_final
2017-01-20 09:43:57	ga_ls8c_ard_3-0-0_094081_2017-01-20_final
2017-02-02 10:47:03	ga_ls8c_ard_3-0-0_105069_2017-02-02_final
2017-02-12 09:51:32	ga_ls8c_ard_3-0-0_095085_2017-02-12_final
2017-02-14 11:12:28	ga_ls8c_ard_3-0-0_109071_2017-02-14_final
2017-02-17 10:04:52	ga_ls8c_ard_3-0-0_098072_2017-02-17_final
2017-03-09 11:16:54	ga_ls8c_ard_3-0-0_110067_2017-03-09_final
2017-03-11 11:06:31	ga_ls8c_ard_3-0-0_108072_2017-03-11_final
2017-07-18 11:53:03	ga_ls8c_ard_3-0-0_115080_2017-07-18_final
2017-12-20 11:31:40	ga_ls8c_ard_3-0-0_112072_2017-12-20_final
2017-12-29 09:51:22	ga_ls8c_ard_3-0-0_095084_2017-12-29_final
2018-01-11 10:55:40	ga_ls8c_ard_3-0-0_106075_2018-01-11_final
2018-03-12 09:39:49	ga_ls8c_ard_3-0-0_094072_2018-03-12_final
2018-05-25 11:57:28	ga_ls8c_ard_3-0-0_116078_2018-05-25_final
2018-07-27 11:12:58	ga_ls8c_ard_3-0-0_109074_2018-07-27_final
2018-09-04 09:39:48	ga_ls8c_ard_3-0-0_094072_2018-09-04_final
2018-09-14 11:57:00	ga_ls8c_ard_3-0-0_116075_2018-09-14_final
2018-09-14 11:57:24	ga_ls8c_ard_3-0-0_116076_2018-09-14_final
2018-09-23 11:52:52	ga_ls8c_ard_3-0-0_115080_2018-09-23_final
2018-10-13 09:45:50	ga_ls8c_ard_3-0-0_095071_2018-10-13_final
2018-11-05 11:31:47	ga_ls8c_ard_3-0-0_112073_2018-11-05_final
2018-12-18 11:17:35	ga_ls8c_ard_3-0-0_109084_2018-12-18_final
2019-02-07 11:41:36	ga_ls8c_ard_3-0-0_114067_2019-02-07_final
2019-03-28 10:46:10	ga_ls8c_ard_3-1-0_105068_2019-03-28_final
2019-04-16 09:39:17	ga_ls8c_ard_3-1-0_094071_2019-04-16_final
2019-09-23 09:40:32	ga_ls8c_ard_3-1-0_094072_2019-09-23_final
2019-11-13 10:13:28	ga_ls8c_ard_3-1-0_099077_2019-11-13_final
2020-04-12 10:19:19	ga_ls8c_ard_3-1-0_100078_2020-04-12_final
2020-04-24 09:07:04	ga_ls8c_ard_3-1-0_088083_2020-04-23_final
2020-05-18 11:30:06	ga_ls8c_ard_3-1-0_112070_2020-05-18_final
2020-06-03 11:31:47	ga_ls8c_ard_3-1-0_112074_2020-06-03_final
2020-07-04 10:49:36	ga_ls8c_ard_3-1-0_105076_2020-07-04_final
2020-09-06 10:49:12	ga_ls8c_ard_3-1-0_105074_2020-09-06_final
2020-11-21 11:12:51	ga_ls8c_ard_3-1-0_109071_2020-11-21_final
2020-12-05 09:45:58	ga_ls8c_ard_3-1-0_095070_2020-12-05_final
2021-01-03 09:16:58	ga_ls8c_ard_3-2-0_090075_2021-01-02_final
2021-01-06 11:24:44	ga_ls8c_ard_3-2-0_111070_2021-01-06_final
2021-03-23 11:53:01	ga_ls8c_ard_3-2-0_115080_2021-03-23_final
2021-04-19 09:51:03	ga_ls8c_ard_3-2-0_096069_2021-04-19_final
2021-05-19 11:47:03	ga_ls8c_ard_3-2-0_114081_2021-05-19_final
2021-06-19 09:28:43	ga_ls8c_ard_3-2-0_091090_2021-06-18_final
2021-07-13 10:13:26	ga_ls8c_ard_3-2-0_099078_2021-07-13_final
2021-08-02 09:46:04	ga_ls8c_ard_3-2-0_095071_2021-08-02_final
2021-08-25 11:32:03	ga_ls8c_ard_3-2-0_112073_2021-08-25_final
2021-09-06 11:58:02	ga_ls8c_ard_3-2-0_116076_2021-09-06_final
2021-10-30 11:18:20	ga_ls8c_ard_3-2-0_110069_2021-10-30_final
2021-11-09 11:57:47	ga_ls8c_ard_3-2-0_116075_2021-11-09_final
2022-01-16 11:32:05	ga_ls8c_ard_3-2-1_112073_2022-01-16_final
2022-02-02 10:36:23	ga_ls8c_ard_3-2-1_103073_2022-02-02_final
2022-04-02 11:57:31	ga_ls8c_ard_3-2-1_116076_2022-04-02_final
2022-04-03 09:21:25	ga_ls8c_ard_3-2-1_091072_2022-04-02_final
2022-06-15 10:55:45	ga_ls8c_ard_3-2-1_106075_2022-06-15_final
2022-07-24 09:23:13	ga_ls8c_ard_3-2-1_091075_2022-07-23_final
2022-10-12 09:23:00	ga_ls8c_ard_3-2-1_091074_2022-10-11_final
2022-12-02 11:32:02	ga_ls8c_ard_3-2-1_112072_2022-12-02_final
2022-12-17 10:53:03	ga_ls8c_ard_3-2-1_105083_2022-12-17_final
2023-01-30 09:34:49	ga_ls8c_ard_3-2-1_093073_2023-01-30_final
2023-03-06 10:02:58	ga_ls8c_ard_3-2-1_098067_2023-03-06_final
2023-03-29 11:53:01	ga_ls8c_ard_3-2-1_115080_2023-03-29_final
2023-05-01 09:16:34	ga_ls8c_ard_3-2-1_090076_2023-04-30_final
2023-06-03 11:41:46	ga_ls8c_ard_3-2-1_113084_2023-06-03_final
2023-06-12 11:30:54	ga_ls8c_ard_3-2-1_112072_2023-06-12_final
2023-06-17 10:12:59	ga_ls8c_ard_3-2-1_099078_2023-06-17_final
2023-07-11 09:22:11	ga_ls8c_ard_3-2-1_091074_2023-07-10_final
2023-08-19 09:34:13	ga_ls8c_ard_3-2-1_092088_2023-08-19_final
2023-08-22 09:56:45	ga_ls8c_ard_3-2-1_097067_2023-08-22_final
2023-08-24 09:46:00	ga_ls8c_ard_3-2-1_095071_2023-08-24_final
2023-12-14 11:24:16	ga_ls8c_ard_3-2-1_111069_2023-12-14_final
2024-02-08 10:35:57	ga_ls8c_ard_3-2-1_103072_2024-02-08_final
2024-03-01 09:57:08	ga_ls8c_ard_3-2-1_097068_2024-03-01_final
2024-03-06 11:57:16	ga_ls8c_ard_3-2-1_116075_2024-03-06_final
2024-03-08 10:02:49	ga_ls8c_ard_3-2-1_098067_2024-03-08_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