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
2014-04-09 11:25:48	ga_ls8c_ard_3-0-0_111073_2014-04-09_final
2014-04-11 11:17:47	ga_ls8c_ard_3-0-0_109084_2014-04-11_final
2014-06-21 09:43:56	ga_ls8c_ard_3-0-0_094082_2014-06-21_final
2014-07-07 11:16:57	ga_ls8c_ard_3-0-0_110067_2014-07-07_final
2014-10-09 11:29:40	ga_ls8c_ard_3-0-0_112067_2014-10-09_final
2014-10-18 11:26:19	ga_ls8c_ard_3-0-0_111074_2014-10-18_final
2014-11-10 11:32:30	ga_ls8c_ard_3-0-0_112074_2014-11-10_final
2015-02-14 11:30:28	ga_ls8c_ard_3-0-0_112070_2015-02-14_final
2015-04-12 11:25:28	ga_ls8c_ard_3-0-0_111074_2015-04-12_final
2015-05-07 11:16:14	ga_ls8c_ard_3-0-0_110067_2015-05-07_final
2015-05-30 11:25:10	ga_ls8c_ard_3-0-0_111074_2015-05-30_final
2015-07-26 11:18:43	ga_ls8c_ard_3-0-0_110072_2015-07-26_final
2015-08-18 11:29:25	ga_ls8c_ard_3-0-0_111083_2015-08-18_final
2015-12-06 11:38:35	ga_ls8c_ard_3-0-0_113074_2015-12-06_final
2015-12-15 11:30:24	ga_ls8c_ard_3-0-0_112069_2015-12-15_final
2015-12-15 11:31:36	ga_ls8c_ard_3-0-0_112072_2015-12-15_final
2015-12-31 11:29:59	ga_ls8c_ard_3-0-0_112068_2015-12-31_final
2016-01-18 11:17:12	ga_ls8c_ard_3-0-0_110067_2016-01-18_final
2016-01-25 11:24:10	ga_ls8c_ard_3-0-0_111069_2016-01-25_final
2016-04-30 11:25:41	ga_ls8c_ard_3-0-0_111074_2016-04-30_final
2016-05-16 11:25:39	ga_ls8c_ard_3-0-0_111074_2016-05-16_final
2016-07-03 11:27:33	ga_ls8c_ard_3-0-0_111078_2016-07-03_final
2016-08-04 11:28:30	ga_ls8c_ard_3-0-0_111080_2016-08-04_final
2016-10-06 09:07:25	ga_ls8c_ard_3-0-0_088082_2016-10-05_final
2016-12-03 09:40:09	ga_ls8c_ard_3-0-0_094071_2016-12-03_final
2016-12-03 11:18:38	ga_ls8c_ard_3-0-0_110070_2016-12-03_final
2017-06-29 11:16:53	ga_ls8c_ard_3-0-0_110067_2017-06-29_final
2017-09-22 11:38:37	ga_ls8c_ard_3-0-0_113074_2017-09-22_final
2018-03-01 11:38:09	ga_ls8c_ard_3-0-0_113074_2018-03-01_final
2018-03-31 11:51:52	ga_ls8c_ard_3-0-0_115078_2018-03-31_final
2018-05-31 09:39:25	ga_ls8c_ard_3-0-0_094073_2018-05-31_final
2018-08-25 09:05:51	ga_ls8c_ard_3-0-0_088080_2018-08-24_final
2019-05-07 11:41:55	ga_ls8c_ard_3-0-0_113084_2019-05-07_final
2019-05-18 11:19:54	ga_ls8c_ard_3-0-0_110075_2019-05-18_final
2019-07-28 11:26:07	ga_ls8c_ard_3-1-0_111074_2019-07-28_final
2019-11-24 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-11-24_final
2019-12-28 09:45:15	ga_ls8c_ard_3-1-0_094084_2019-12-28_final
2020-03-17 09:40:52	ga_ls8c_ard_3-1-0_094074_2020-03-17_final
2020-03-17 11:16:57	ga_ls8c_ard_3-1-0_110067_2020-03-17_final
2020-03-31 11:29:35	ga_ls8c_ard_3-1-0_112068_2020-03-31_final
2020-04-08 09:06:23	ga_ls8c_ard_3-1-0_088081_2020-04-07_final
2020-08-08 11:18:17	ga_ls8c_ard_3-1-0_110070_2020-08-08_final
2020-09-23 11:32:33	ga_ls8c_ard_3-1-0_112074_2020-09-23_final
2020-09-30 11:39:57	ga_ls8c_ard_3-1-0_113077_2020-09-30_final
2020-12-01 11:53:09	ga_ls8c_ard_3-1-0_115079_2020-12-01_final
2020-12-14 11:18:16	ga_ls8c_ard_3-1-0_110069_2020-12-14_final
2021-03-16 10:07:11	ga_ls8c_ard_3-2-0_098078_2021-03-16_final
2021-03-22 11:05:46	ga_ls8c_ard_3-2-0_108070_2021-03-22_final
2021-03-31 09:22:40	ga_ls8c_ard_3-2-0_091075_2021-03-30_final
2021-04-16 11:03:50	ga_ls8c_ard_3-2-0_107081_2021-04-16_final
2021-04-25 09:20:42	ga_ls8c_ard_3-2-0_090086_2021-04-24_final
2021-05-18 09:22:06	ga_ls8c_ard_3-2-0_091074_2021-05-17_final
2021-05-18 09:22:30	ga_ls8c_ard_3-2-0_091075_2021-05-17_final
2021-05-23 11:22:46	ga_ls8c_ard_3-2-0_110082_2021-05-23_final
2021-07-17 09:44:20	ga_ls8c_ard_3-2-0_095067_2021-07-17_final
2021-08-12 10:27:12	ga_ls8c_ard_3-2-0_101081_2021-08-12_final
2021-08-15 09:17:15	ga_ls8c_ard_3-2-0_090076_2021-08-14_final
2021-09-12 11:18:35	ga_ls8c_ard_3-2-0_110070_2021-09-12_final
2021-12-12 09:23:38	ga_ls8c_ard_3-2-1_091076_2021-12-11_final
2022-02-16 09:12:11	ga_ls8c_ard_3-2-1_089079_2022-02-15_final
2022-02-22 10:11:09	ga_ls8c_ard_3-2-1_099072_2022-02-22_final
2022-04-02 10:16:38	ga_ls8c_ard_3-2-1_100071_2022-04-02_final
2022-04-12 10:58:36	ga_ls8c_ard_3-2-1_106083_2022-04-12_final
2022-04-27 11:51:46	ga_ls8c_ard_3-2-1_115077_2022-04-27_final
2022-06-04 09:34:05	ga_ls8c_ard_3-2-1_093072_2022-06-04_final
2022-06-16 11:37:50	ga_ls8c_ard_3-2-1_113072_2022-06-16_final
2022-06-22 11:05:11	ga_ls8c_ard_3-2-1_107083_2022-06-22_final
2022-07-24 09:23:37	ga_ls8c_ard_3-2-1_091076_2022-07-23_final
2022-08-11 10:50:42	ga_ls8c_ard_3-2-1_105077_2022-08-11_final
2022-09-13 11:36:53	ga_ls8c_ard_3-2-1_112084_2022-09-13_final
2022-09-26 09:22:20	ga_ls8c_ard_3-2-1_091072_2022-09-25_final
2022-10-02 10:25:19	ga_ls8c_ard_3-2-1_101075_2022-10-02_final
2022-11-22 09:22:49	ga_ls8c_ard_3-2-1_090089_2022-11-21_final
2022-11-22 10:54:08	ga_ls8c_ard_3-2-1_106070_2022-11-22_final
2022-11-27 09:37:48	ga_ls8c_ard_3-2-1_093080_2022-11-27_final
2022-12-07 10:11:17	ga_ls8c_ard_3-2-1_099071_2022-12-07_final
2022-12-21 10:28:16	ga_ls8c_ard_3-2-1_101083_2022-12-21_final
2023-01-10 09:57:33	ga_ls8c_ard_3-2-1_097068_2023-01-10_final
2023-01-22 10:25:01	ga_ls8c_ard_3-2-1_101075_2023-01-22_final
2023-01-24 10:09:29	ga_ls8c_ard_3-2-1_099067_2023-01-24_final
2023-01-30 11:12:07	ga_ls8c_ard_3-2-1_109069_2023-01-30_final
2023-02-06 11:20:40	ga_ls8c_ard_3-2-1_110075_2023-02-06_final
2023-02-09 10:15:52	ga_ls8c_ard_3-2-1_099083_2023-02-09_final
2023-02-09 11:52:45	ga_ls8c_ard_3-2-1_115078_2023-02-09_final
2023-03-03 09:34:29	ga_ls8c_ard_3-2-1_093073_2023-03-03_final
2023-03-25 10:34:53	ga_ls8c_ard_3-2-1_103070_2023-03-25_final
2023-04-24 09:13:38	ga_ls8c_ard_3-2-1_089084_2023-04-23_final
2023-04-25 11:31:47	ga_ls8c_ard_3-2-1_112074_2023-04-25_final
2023-07-05 09:57:37	ga_ls8c_ard_3-2-1_097070_2023-07-05_final
2023-07-20 09:16:24	ga_ls8c_ard_3-2-1_090075_2023-07-19_final
2023-08-14 10:49:18	ga_ls8c_ard_3-2-1_105075_2023-08-14_final
2023-09-09 09:46:48	ga_ls8c_ard_3-2-1_095073_2023-09-09_final
2023-09-15 09:11:46	ga_ls8c_ard_3-2-1_089078_2023-09-14_final
2023-11-22 10:23:20	ga_ls8c_ard_3-2-1_101071_2023-11-22_final
2023-12-10 11:52:32	ga_ls8c_ard_3-2-1_115078_2023-12-10_final
2024-01-12 10:54:31	ga_ls8c_ard_3-2-1_106072_2024-01-12_final
2024-02-11 09:29:10	ga_ls8c_ard_3-2-1_092075_2024-02-10_final
2024-03-06 10:21:34	ga_ls8c_ard_3-2-1_100083_2024-03-06_final
2024-03-10 09:52:50	ga_ls8c_ard_3-2-1_096073_2024-03-10_final
2024-03-30 09:28:40	ga_ls8c_ard_3-2-1_092075_2024-03-29_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