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
2013-05-01 11:20:06	ga_ls8c_ard_3-0-0_110070_2013-05-01_final
2013-10-17 11:15:58	ga_ls8c_ard_3-0-0_109075_2013-10-17_final
2013-12-06 11:01:23	ga_ls8c_ard_3-0-0_107070_2013-12-06_final
2013-12-26 10:37:17	ga_ls8c_ard_3-0-0_103072_2013-12-26_final
2014-06-19 11:31:59	ga_ls8c_ard_3-0-0_112074_2014-06-19_final
2014-06-21 11:16:50	ga_ls8c_ard_3-0-0_110067_2014-06-21_final
2015-05-07 11:20:13	ga_ls8c_ard_3-0-0_110077_2015-05-07_final
2015-08-16 11:35:22	ga_ls8c_ard_3-0-0_113067_2015-08-16_final
2016-01-30 11:44:41	ga_ls8c_ard_3-0-0_114074_2016-01-30_final
2016-03-06 11:17:00	ga_ls8c_ard_3-0-0_110067_2016-03-06_final
2016-06-10 11:17:36	ga_ls8c_ard_3-0-0_110069_2016-06-10_final
2016-06-26 11:21:42	ga_ls8c_ard_3-0-0_110079_2016-06-26_final
2016-07-05 11:14:00	ga_ls8c_ard_3-1-0_109075_2016-07-05_final
2016-07-09 10:50:31	ga_ls8c_ard_3-0-0_105078_2016-07-09_final
2016-11-21 10:52:44	ga_ls8c_ard_3-0-0_106067_2016-11-21_final
2017-01-25 11:38:33	ga_ls8c_ard_3-0-0_113074_2017-01-25_final
2017-03-13 10:58:07	ga_ls8c_ard_3-0-0_106082_2017-03-13_final
2017-06-01 10:55:11	ga_ls8c_ard_3-0-0_106075_2017-06-01_final
2017-07-15 11:18:08	ga_ls8c_ard_3-0-0_110070_2017-07-15_final
2017-08-20 10:55:39	ga_ls8c_ard_3-0-0_106075_2017-08-20_final
2017-08-25 11:17:00	ga_ls8c_ard_3-0-0_109082_2017-08-25_final
2017-09-24 09:46:59	ga_ls8c_ard_3-0-0_095073_2017-09-24_final
2018-01-11 10:55:40	ga_ls8c_ard_3-0-0_106075_2018-01-11_final
2018-06-29 10:51:14	ga_ls8c_ard_3-0-0_105082_2018-06-29_final
2018-07-01 10:34:54	ga_ls8c_ard_3-0-0_103072_2018-07-01_final
2018-08-06 11:50:33	ga_ls8c_ard_3-0-0_115075_2018-08-06_final
2018-08-09 09:06:30	ga_ls8c_ard_3-0-0_088082_2018-08-08_final
2018-08-29 11:57:43	ga_ls8c_ard_3-0-0_116077_2018-08-29_final
2018-10-13 09:46:14	ga_ls8c_ard_3-0-0_095072_2018-10-13_final
2018-10-15 11:13:10	ga_ls8c_ard_3-0-0_109073_2018-10-15_final
2018-10-22 11:23:22	ga_ls8c_ard_3-0-0_110083_2018-10-22_final
2018-10-25 10:08:37	ga_ls8c_ard_3-2-1_099066_2018-10-25_final
2018-12-21 11:46:06	ga_ls8c_ard_3-0-0_114078_2018-12-21_final
2019-02-01 10:42:11	ga_ls8c_ard_3-0-0_104073_2019-02-01_final
2019-05-25 11:23:45	ga_ls8c_ard_3-0-0_111069_2019-05-25_final
2019-07-14 11:17:39	ga_ls8c_ard_3-1-0_109084_2019-07-14_final
2019-09-02 11:01:58	ga_ls8c_ard_3-1-0_107075_2019-09-02_final
2019-09-25 11:10:40	ga_ls8c_ard_3-1-0_108081_2019-09-25_final
2019-11-10 11:20:40	ga_ls8c_ard_3-1-0_110075_2019-11-10_final
2019-12-06 08:42:44	ga_ls8c_ard_3-2-1_084082_2019-12-05_final
2020-02-02 10:55:40	ga_ls8c_ard_3-1-0_106075_2020-02-02_final
2020-03-10 11:13:13	ga_ls8c_ard_3-1-0_109073_2020-03-10_final
2020-05-31 11:00:51	ga_ls8c_ard_3-1-0_107074_2020-05-31_final
2020-06-10 11:38:03	ga_ls8c_ard_3-1-0_113074_2020-06-10_final
2020-08-15 09:52:24	ga_ls8c_ard_3-1-0_095087_2020-08-15_final
2020-08-31 11:25:50	ga_ls8c_ard_3-1-0_111073_2020-08-31_final
2020-09-09 09:41:14	ga_ls8c_ard_3-1-0_094074_2020-09-09_final
2020-10-04 11:16:50	ga_ls8c_ard_3-1-0_109081_2020-10-04_final
2020-10-06 11:02:05	ga_ls8c_ard_3-1-0_107075_2020-10-06_final
2020-10-20 11:18:03	ga_ls8c_ard_3-1-0_109084_2020-10-20_final
2020-11-23 11:01:41	ga_ls8c_ard_3-1-0_107074_2020-11-23_final
2020-12-02 10:53:08	ga_ls8c_ard_3-1-0_106068_2020-12-02_final
2021-04-02 10:46:23	ga_ls8c_ard_3-2-0_105068_2021-04-02_final
2021-05-18 09:21:42	ga_ls8c_ard_3-2-0_091073_2021-05-17_final
2021-05-18 11:03:46	ga_ls8c_ard_3-2-0_107081_2021-05-18_final
2021-06-21 09:15:34	ga_ls8c_ard_3-2-0_089088_2021-06-20_final
2021-06-26 11:07:26	ga_ls8c_ard_3-2-0_108074_2021-06-26_final
2021-08-01 09:07:11	ga_ls8c_ard_3-2-0_088082_2021-07-31_final
2021-08-23 10:07:55	ga_ls8c_ard_3-2-0_098079_2021-08-23_final
2021-09-27 10:34:35	ga_ls8c_ard_3-2-0_103068_2021-09-27_final
2021-10-24 10:22:32	ga_ls8c_ard_3-2-0_100084_2021-10-24_final
2021-10-25 09:26:54	ga_ls8c_ard_3-2-0_091084_2021-10-24_final
2021-11-04 11:38:52	ga_ls8c_ard_3-2-0_113074_2021-11-04_final
2021-12-04 10:10:17	ga_ls8c_ard_3-2-0_099069_2021-12-04_final
2021-12-17 09:40:58	ga_ls8c_ard_3-2-1_094073_2021-12-17_final
2021-12-20 10:10:15	ga_ls8c_ard_3-2-1_099069_2021-12-20_final
2021-12-21 09:17:25	ga_ls8c_ard_3-2-1_090076_2021-12-20_final
2022-01-05 11:51:27	ga_ls8c_ard_3-2-1_115075_2022-01-05_final
2022-01-10 10:29:30	ga_ls8c_ard_3-2-1_102071_2022-01-10_final
2022-01-13 11:02:23	ga_ls8c_ard_3-2-1_107076_2022-01-13_final
2022-01-30 10:09:52	ga_ls8c_ard_3-2-1_098084_2022-01-30_final
2022-02-26 11:25:19	ga_ls8c_ard_3-2-1_111072_2022-02-26_final
2022-06-19 10:28:16	ga_ls8c_ard_3-2-1_102068_2022-06-19_final
2022-06-27 11:18:09	ga_ls8c_ard_3-2-1_110069_2022-06-27_final
2022-06-27 11:20:09	ga_ls8c_ard_3-2-1_110074_2022-06-27_final
2022-07-21 10:28:22	ga_ls8c_ard_3-2-1_102068_2022-07-21_final
2022-08-02 10:59:12	ga_ls8c_ard_3-2-1_106083_2022-08-02_final
2022-08-10 11:45:07	ga_ls8c_ard_3-2-1_114074_2022-08-10_final
2022-09-02 10:10:03	ga_ls8c_ard_3-2-1_099068_2022-09-02_final
2022-09-27 10:10:47	ga_ls8c_ard_3-2-1_098085_2022-09-27_final
2022-10-04 11:51:49	ga_ls8c_ard_3-2-1_115075_2022-10-04_final
2022-10-20 11:52:58	ga_ls8c_ard_3-2-1_115078_2022-10-20_final
2023-01-01 10:10:33	ga_ls8c_ard_3-2-1_098085_2023-01-01_final
2023-01-30 09:40:25	ga_ls8c_ard_3-2-1_093087_2023-01-30_final
2023-02-04 09:53:46	ga_ls8c_ard_3-2-1_096074_2023-02-04_final
2023-02-15 11:12:00	ga_ls8c_ard_3-2-1_109069_2023-02-15_final
2023-03-21 09:23:10	ga_ls8c_ard_3-2-1_091076_2023-03-20_final
2023-04-02 09:50:57	ga_ls8c_ard_3-2-1_095084_2023-04-02_final
2023-04-15 10:54:20	ga_ls8c_ard_3-2-1_106073_2023-04-15_final
2023-04-19 10:27:35	ga_ls8c_ard_3-2-1_102068_2023-04-19_final
2023-05-30 10:23:36	ga_ls8c_ard_3-2-1_101074_2023-05-30_final
2023-09-11 09:40:03	ga_ls8c_ard_3-2-1_093087_2023-09-11_final
2023-10-24 09:22:04	ga_ls8c_ard_3-2-1_090088_2023-10-23_final
2023-11-09 09:22:01	ga_ls8c_ard_3-2-1_090088_2023-11-08_final
2023-12-18 09:27:29	ga_ls8c_ard_3-2-1_091086_2023-12-17_final
2024-01-29 10:03:35	ga_ls8c_ard_3-2-1_097084_2024-01-29_final
2024-01-30 10:42:28	ga_ls8c_ard_3-2-1_104073_2024-01-30_final
2024-02-06 10:49:30	ga_ls8c_ard_3-2-1_105075_2024-02-06_final
2024-03-12 11:20:57	ga_ls8c_ard_3-2-1_110077_2024-03-12_final
2024-03-21 09:34:12	ga_ls8c_ard_3-2-1_093073_2024-03-21_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