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
2013-08-28 09:54:02	ga_ls8c_ard_3-0-0_095086_2013-08-28_final
2013-10-24 09:42:00	ga_ls8c_ard_3-0-0_094072_2013-10-24_final
2013-11-16 09:53:41	ga_ls8c_ard_3-0-0_095086_2013-11-16_final
2014-01-18 09:07:53	ga_ls8c_ard_3-1-0_088081_2014-01-17_final
2014-05-25 11:41:57	ga_ls8c_ard_3-0-0_113084_2014-05-25_final
2014-05-26 09:06:39	ga_ls8c_ard_3-0-0_088082_2014-05-25_final
2014-05-27 11:25:38	ga_ls8c_ard_3-0-0_111074_2014-05-27_final
2014-10-11 09:38:26	ga_ls8c_ard_3-0-0_094067_2014-10-11_final
2015-01-15 09:45:02	ga_ls8c_ard_3-0-0_094084_2015-01-15_final
2015-12-15 11:30:24	ga_ls8c_ard_3-0-0_112069_2015-12-15_final
2016-04-26 11:50:44	ga_ls8c_ard_3-0-0_115075_2016-04-26_final
2016-05-14 11:37:59	ga_ls8c_ard_3-0-0_113074_2016-05-14_final
2016-08-18 11:42:08	ga_ls8c_ard_3-0-0_113083_2016-08-18_final
2016-08-29 09:44:47	ga_ls8c_ard_3-0-0_094083_2016-08-29_final
2017-02-12 09:46:21	ga_ls8c_ard_3-0-0_095072_2017-02-12_final
2017-05-17 11:41:29	ga_ls8c_ard_3-0-0_113083_2017-05-17_final
2017-08-14 11:30:43	ga_ls8c_ard_3-0-0_112070_2017-08-14_final
2018-02-02 11:58:27	ga_ls8c_ard_3-0-0_116078_2018-02-02_final
2018-02-08 09:38:04	ga_ls8c_ard_3-0-0_094067_2018-02-08_final
2018-03-15 11:50:46	ga_ls8c_ard_3-0-0_115075_2018-03-15_final
2018-04-03 09:06:34	ga_ls8c_ard_3-0-0_088082_2018-04-02_final
2018-04-25 11:44:15	ga_ls8c_ard_3-0-0_114075_2018-04-25_final
2018-06-07 11:27:40	ga_ls8c_ard_3-0-0_111081_2018-06-07_final
2018-06-22 09:06:06	ga_ls8c_ard_3-0-0_088082_2018-06-21_final
2018-08-03 09:39:08	ga_ls8c_ard_3-0-0_094071_2018-08-03_final
2018-08-15 11:46:03	ga_ls8c_ard_3-0-0_114079_2018-08-15_final
2018-08-26 11:25:12	ga_ls8c_ard_3-0-0_111073_2018-08-26_final
2018-11-14 09:46:20	ga_ls8c_ard_3-0-0_095072_2018-11-14_final
2018-11-14 09:50:20	ga_ls8c_ard_3-0-0_095082_2018-11-14_final
2019-03-06 11:24:33	ga_ls8c_ard_3-0-0_111071_2019-03-06_final
2019-03-25 11:58:09	ga_ls8c_ard_3-1-0_116078_2019-03-25_final
2019-04-03 11:52:44	ga_ls8c_ard_3-1-0_115080_2019-04-03_final
2019-04-07 09:49:54	ga_ls8c_ard_3-1-0_095082_2019-04-07_final
2019-05-14 11:41:24	ga_ls8c_ard_3-0-0_114067_2019-05-14_final
2019-05-24 09:06:47	ga_ls8c_ard_3-0-0_088082_2019-05-23_final
2019-09-13 09:07:24	ga_ls8c_ard_3-1-0_088082_2019-09-12_final
2019-10-05 11:42:12	ga_ls8c_ard_3-1-0_114067_2019-10-05_final
2019-11-17 11:27:13	ga_ls8c_ard_3-1-0_111076_2019-11-17_final
2020-03-01 09:38:11	ga_ls8c_ard_3-1-0_094067_2020-03-01_final
2020-04-24 09:06:16	ga_ls8c_ard_3-1-0_088081_2020-04-23_final
2020-08-15 11:24:30	ga_ls8c_ard_3-1-0_111070_2020-08-15_final
2020-10-09 11:31:00	ga_ls8c_ard_3-1-0_112070_2020-10-09_final
2021-03-05 10:27:02	ga_ls8c_ard_3-2-0_101081_2021-03-05_final
2021-03-15 09:27:55	ga_ls8c_ard_3-2-0_091088_2021-03-14_final
2021-03-27 11:25:53	ga_ls8c_ard_3-2-0_111074_2021-03-27_final
2021-04-10 11:40:58	ga_ls8c_ard_3-2-0_113081_2021-04-10_final
2021-04-14 09:34:56	ga_ls8c_ard_3-2-0_093075_2021-04-14_final
2021-04-15 10:21:23	ga_ls8c_ard_3-2-0_100083_2021-04-15_final
2021-04-17 10:03:25	ga_ls8c_ard_3-2-0_098069_2021-04-17_final
2021-06-04 11:44:47	ga_ls8c_ard_3-2-0_114075_2021-06-04_final
2021-06-05 09:13:05	ga_ls8c_ard_3-2-0_089082_2021-06-04_final
2021-06-24 11:16:59	ga_ls8c_ard_3-2-0_110067_2021-06-24_final
2021-09-06 10:17:09	ga_ls8c_ard_3-2-0_100071_2021-09-06_final
2021-09-20 10:28:22	ga_ls8c_ard_3-2-0_102068_2021-09-20_final
2021-09-21 09:34:44	ga_ls8c_ard_3-2-0_093073_2021-09-21_final
2021-09-23 11:01:40	ga_ls8c_ard_3-2-0_107074_2021-09-23_final
2021-10-02 10:55:33	ga_ls8c_ard_3-2-0_106074_2021-10-02_final
2021-11-08 09:34:26	ga_ls8c_ard_3-2-0_093072_2021-11-08_final
2021-11-11 11:47:48	ga_ls8c_ard_3-2-0_114081_2021-11-11_final
2021-11-27 11:42:11	ga_ls8c_ard_3-2-0_114067_2021-11-27_final
2021-12-03 11:11:54	ga_ls8c_ard_3-2-0_108084_2021-12-03_final
2021-12-11 10:19:15	ga_ls8c_ard_3-2-1_100076_2021-12-11_final
2021-12-13 10:10:29	ga_ls8c_ard_3-2-1_098085_2021-12-13_final
2022-01-01 10:34:54	ga_ls8c_ard_3-2-1_103069_2022-01-01_final
2022-01-13 09:27:54	ga_ls8c_ard_3-2-1_091087_2022-01-12_final
2022-01-15 09:13:32	ga_ls8c_ard_3-2-1_089082_2022-01-14_final
2022-02-17 09:51:51	ga_ls8c_ard_3-2-1_096070_2022-02-17_final
2022-02-26 11:25:43	ga_ls8c_ard_3-2-1_111073_2022-02-26_final
2022-05-15 11:41:10	ga_ls8c_ard_3-2-1_113081_2022-05-15_final
2022-06-02 11:24:54	ga_ls8c_ard_3-2-1_111071_2022-06-02_final
2022-06-06 11:00:38	ga_ls8c_ard_3-2-1_107072_2022-06-06_final
2022-06-25 09:58:00	ga_ls8c_ard_3-2-1_096085_2022-06-25_final
2022-07-07 10:22:20	ga_ls8c_ard_3-2-1_100084_2022-07-07_final
2022-07-16 11:52:37	ga_ls8c_ard_3-2-1_115078_2022-07-16_final
2022-08-05 09:52:51	ga_ls8c_ard_3-2-1_095087_2022-08-05_final
2022-08-19 09:58:54	ga_ls8c_ard_3-2-1_097071_2022-08-19_final
2022-08-27 09:11:51	ga_ls8c_ard_3-2-1_089077_2022-08-26_final
2022-10-04 10:09:45	ga_ls8c_ard_3-2-1_099067_2022-10-04_final
2022-10-12 09:25:23	ga_ls8c_ard_3-2-1_091080_2022-10-11_final
2022-10-30 09:11:57	ga_ls8c_ard_3-2-1_089077_2022-10-29_final
2022-12-20 09:44:38	ga_ls8c_ard_3-2-1_094082_2022-12-20_final
2023-01-01 10:10:33	ga_ls8c_ard_3-2-1_098085_2023-01-01_final
2023-01-16 11:00:04	ga_ls8c_ard_3-2-1_107070_2023-01-16_final
2023-01-18 10:49:17	ga_ls8c_ard_3-2-1_105074_2023-01-18_final
2023-02-01 09:27:15	ga_ls8c_ard_3-2-1_091085_2023-01-31_final
2023-02-17 09:28:18	ga_ls8c_ard_3-2-1_091088_2023-02-16_final
2023-03-09 10:37:49	ga_ls8c_ard_3-2-1_103077_2023-03-09_final
2023-03-23 10:49:39	ga_ls8c_ard_3-2-1_105076_2023-03-23_final
2023-03-31 09:58:33	ga_ls8c_ard_3-2-1_097072_2023-03-31_final
2023-04-03 10:29:48	ga_ls8c_ard_3-2-1_102073_2023-04-03_final
2023-05-10 10:48:44	ga_ls8c_ard_3-2-1_105075_2023-05-10_final
2023-07-09 09:39:43	ga_ls8c_ard_3-2-1_093087_2023-07-09_final
2023-07-13 10:49:30	ga_ls8c_ard_3-2-1_105076_2023-07-13_final
2023-07-20 09:16:24	ga_ls8c_ard_3-2-1_090075_2023-07-19_final
2023-11-18 10:49:13	ga_ls8c_ard_3-2-1_105074_2023-11-18_final
2024-01-03 09:22:59	ga_ls8c_ard_3-2-1_091075_2024-01-02_final
2024-01-12 09:22:25	ga_ls8c_ard_3-2-1_090089_2024-01-11_final
2024-01-12 10:54:55	ga_ls8c_ard_3-2-1_106073_2024-01-12_final
2024-02-06 10:46:43	ga_ls8c_ard_3-2-1_105068_2024-02-06_final
2024-02-13 10:55:40	ga_ls8c_ard_3-2-1_106075_2024-02-13_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