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

86 results

Time (local)	Label
2013-09-06 09:40:16	ga_ls8c_ard_3-0-0_094067_2013-09-06_final
2013-10-24 11:18:53	ga_ls8c_ard_3-0-0_110067_2013-10-24_final
2014-01-25 09:12:26	ga_ls8c_ard_3-0-0_089077_2014-01-24_final
2014-01-30 09:35:20	ga_ls8c_ard_3-0-0_092088_2014-01-30_final
2014-10-31 09:22:03	ga_ls8c_ard_3-0-0_090088_2014-10-30_final
2014-12-14 09:38:19	ga_ls8c_ard_3-0-0_094067_2014-12-14_final
2015-01-02 10:09:57	ga_ls8c_ard_3-0-0_099069_2015-01-02_final
2015-02-16 09:40:02	ga_ls8c_ard_3-0-0_094072_2015-02-16_final
2015-04-19 09:56:45	ga_ls8c_ard_3-0-0_096084_2015-04-19_final
2015-05-19 10:05:59	ga_ls8c_ard_3-0-0_098077_2015-05-19_final
2015-06-02 10:18:50	ga_ls8c_ard_3-0-0_100078_2015-06-02_final
2015-07-26 11:23:54	ga_ls8c_ard_3-0-0_110085_2015-07-26_final
2015-07-29 11:52:01	ga_ls8c_ard_3-0-0_115078_2015-07-29_final
2015-08-04 09:40:03	ga_ls8c_ard_3-0-0_093088_2015-08-04_final
2016-01-16 09:51:28	ga_ls8c_ard_3-0-0_096069_2016-01-16_final
2016-01-27 11:16:59	ga_ls8c_ard_3-0-0_109082_2016-01-27_final
2016-04-26 10:13:26	ga_ls8c_ard_3-0-0_099079_2016-04-26_final
2016-05-25 09:44:38	ga_ls8c_ard_3-0-0_094084_2016-05-25_final
2016-08-24 09:23:01	ga_ls8c_ard_3-0-0_091075_2016-08-23_final
2016-10-30 11:30:37	ga_ls8c_ard_3-0-0_112069_2016-10-30_final
2017-01-07 10:09:43	ga_ls8c_ard_3-0-0_099068_2017-01-07_final
2017-02-14 11:14:04	ga_ls8c_ard_3-1-0_109075_2017-02-14_final
2017-03-09 09:38:01	ga_ls8c_ard_3-0-0_094067_2017-03-09_final
2017-03-10 10:26:51	ga_ls8c_ard_3-0-0_101081_2017-03-10_final
2017-04-21 09:21:05	ga_ls8c_ard_3-0-0_091072_2017-04-20_final
2017-06-23 10:21:26	ga_ls8c_ard_3-0-0_100083_2017-06-23_final
2017-07-07 10:27:52	ga_ls8c_ard_3-0-0_102068_2017-07-07_final
2017-07-24 11:13:38	ga_ls8c_ard_3-0-0_109074_2017-07-24_final
2017-10-21 11:07:51	ga_ls8c_ard_3-0-0_108074_2017-10-21_final
2017-11-04 09:38:31	ga_ls8c_ard_3-0-0_094067_2017-11-04_final
2017-12-28 09:06:31	ga_ls8c_ard_3-0-0_088080_2017-12-27_final
2017-12-28 10:45:23	ga_ls8c_ard_3-0-0_104080_2017-12-28_final
2018-02-22 11:30:26	ga_ls8c_ard_3-0-0_112070_2018-02-22_final
2018-04-04 11:23:31	ga_ls8c_ard_3-0-0_111069_2018-04-04_final
2018-04-21 10:32:55	ga_ls8c_ard_3-0-0_102082_2018-04-21_final
2018-04-23 10:20:56	ga_ls8c_ard_3-0-0_100083_2018-04-23_final
2018-06-19 10:14:27	ga_ls8c_ard_3-0-0_099083_2018-06-19_final
2018-10-01 12:37:12	ga_ls8c_ard_3-2-1_123067_2018-10-01_final
2018-12-04 09:27:35	ga_ls8c_ard_3-0-0_091087_2018-12-03_final
2019-02-02 11:23:04	ga_ls8c_ard_3-0-0_111067_2019-02-02_final
2019-02-14 10:09:40	ga_ls8c_ard_3-0-0_099069_2019-02-14_final
2019-02-18 11:23:49	ga_ls8c_ard_3-0-0_111069_2019-02-18_final
2019-03-30 10:38:35	ga_ls8c_ard_3-1-0_103080_2019-03-30_final
2019-04-04 09:16:38	ga_ls8c_ard_3-1-0_090076_2019-04-03_final
2019-05-15 09:10:53	ga_ls8c_ard_3-0-0_089077_2019-05-14_final
2019-06-16 09:11:57	ga_ls8c_ard_3-1-0_089079_2019-06-15_final
2019-07-25 10:55:59	ga_ls8c_ard_3-1-0_106076_2019-07-25_final
2019-08-15 11:13:51	ga_ls8c_ard_3-1-0_109074_2019-08-15_final
2019-09-23 11:17:26	ga_ls8c_ard_3-1-0_110067_2019-09-23_final
2019-10-18 09:40:49	ga_ls8c_ard_3-1-0_093088_2019-10-18_final
2019-11-10 09:45:47	ga_ls8c_ard_3-1-0_094085_2019-11-10_final
2019-12-30 09:26:30	ga_ls8c_ard_3-1-0_092068_2019-12-29_final
2020-02-02 09:21:58	ga_ls8c_ard_3-1-0_090088_2020-02-01_final
2020-02-21 09:50:24	ga_ls8c_ard_3-1-0_095082_2020-02-21_final
2020-03-25 10:33:01	ga_ls8c_ard_3-1-0_102081_2020-03-25_final
2020-12-28 11:30:58	ga_ls8c_ard_3-2-0_112070_2020-12-28_final
2021-02-16 09:38:18	ga_ls8c_ard_3-2-0_094067_2021-02-16_final
2021-04-05 09:41:34	ga_ls8c_ard_3-2-0_094076_2021-04-05_final
2021-04-14 09:38:56	ga_ls8c_ard_3-2-0_093085_2021-04-14_final
2021-04-14 11:14:13	ga_ls8c_ard_3-2-0_109076_2021-04-14_final
2021-04-19 11:30:20	ga_ls8c_ard_3-2-0_112070_2021-04-19_final
2021-04-24 10:10:20	ga_ls8c_ard_3-2-0_099071_2021-04-24_final
2021-05-02 12:36:59	ga_ls8c_ard_3-2-1_123067_2021-05-02_final
2021-05-09 09:34:10	ga_ls8c_ard_3-2-0_092089_2021-05-09_final
2021-07-18 10:28:48	ga_ls8c_ard_3-2-0_102070_2021-07-18_final
2021-08-16 10:03:42	ga_ls8c_ard_3-2-0_097084_2021-08-16_final
2021-09-21 11:14:01	ga_ls8c_ard_3-2-0_109074_2021-09-21_final
2021-11-01 11:07:58	ga_ls8c_ard_3-2-0_108074_2021-11-01_final
2022-01-06 10:54:14	ga_ls8c_ard_3-2-1_106071_2022-01-06_final
2022-03-01 10:19:43	ga_ls8c_ard_3-2-1_100078_2022-03-01_final
2022-03-27 09:20:28	ga_ls8c_ard_3-2-1_090085_2022-03-26_final
2022-05-20 10:19:15	ga_ls8c_ard_3-2-1_100077_2022-05-20_final
2022-06-02 09:49:36	ga_ls8c_ard_3-2-1_095080_2022-06-02_final
2022-06-15 09:16:52	ga_ls8c_ard_3-2-1_090075_2022-06-14_final
2022-06-29 09:34:29	ga_ls8c_ard_3-2-1_092088_2022-06-29_final
2022-07-23 11:58:31	ga_ls8c_ard_3-2-1_116077_2022-07-23_final
2022-09-02 10:09:15	ga_ls8c_ard_3-2-1_099066_2022-09-02_final
2023-01-08 10:09:32	ga_ls8c_ard_3-2-1_099067_2023-01-08_final
2023-03-02 10:29:19	ga_ls8c_ard_3-2-1_102071_2023-03-02_final
2023-05-05 10:32:17	ga_ls8c_ard_3-2-1_102080_2023-05-05_final
2023-05-12 10:38:44	ga_ls8c_ard_3-2-1_103081_2023-05-12_final
2023-06-04 10:45:21	ga_ls8c_ard_3-2-1_104082_2023-06-04_final
2023-10-14 10:18:40	ga_ls8c_ard_3-2-1_100075_2023-10-14_final
2023-10-15 11:01:56	ga_ls8c_ard_3-2-1_107075_2023-10-15_final
2024-03-03 11:25:14	ga_ls8c_ard_3-2-1_111072_2024-03-03_final
2024-03-07 09:27:56	ga_ls8c_ard_3-2-1_091088_2024-03-06_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