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

79 results

Time (local)	Label
2014-05-07 10:13:08	ga_ls8c_ard_3-0-0_099078_2014-05-07_final
2014-05-23 10:13:01	ga_ls8c_ard_3-0-0_099078_2014-05-23_final
2014-08-28 09:17:10	ga_ls8c_ard_3-0-0_090076_2014-08-27_final
2014-09-09 09:38:22	ga_ls8c_ard_3-0-0_094067_2014-09-09_final
2014-09-29 09:17:14	ga_ls8c_ard_3-0-0_090076_2014-09-28_final
2014-12-09 09:21:48	ga_ls8c_ard_3-0-0_091072_2014-12-08_final
2014-12-25 09:22:11	ga_ls8c_ard_3-0-0_091073_2014-12-24_final
2015-01-17 09:28:40	ga_ls8c_ard_3-0-0_092074_2015-01-16_final
2015-12-05 10:53:43	ga_ls8c_ard_3-0-0_106070_2015-12-05_final
2015-12-05 10:58:31	ga_ls8c_ard_3-0-0_106082_2015-12-05_final
2016-01-02 09:38:20	ga_ls8c_ard_3-0-0_094067_2016-01-02_final
2016-01-27 09:34:31	ga_ls8c_ard_3-0-0_093073_2016-01-27_final
2016-02-03 09:38:16	ga_ls8c_ard_3-0-0_094067_2016-02-03_final
2016-02-05 09:29:05	ga_ls8c_ard_3-0-0_092075_2016-02-04_final
2016-03-15 11:17:33	ga_ls8c_ard_3-0-0_109084_2016-03-15_final
2016-03-20 11:30:27	ga_ls8c_ard_3-0-0_112070_2016-03-20_final
2016-04-07 11:17:32	ga_ls8c_ard_3-0-0_110069_2016-04-07_final
2016-05-25 09:37:51	ga_ls8c_ard_3-0-0_094067_2016-05-25_final
2016-05-29 09:16:45	ga_ls8c_ard_3-0-0_090076_2016-05-28_final
2016-11-10 09:34:22	ga_ls8c_ard_3-0-0_093072_2016-11-10_final
2016-11-26 09:34:47	ga_ls8c_ard_3-0-0_093073_2016-11-26_final
2017-02-02 09:10:33	ga_ls8c_ard_3-0-0_089075_2017-02-01_final
2017-03-20 09:22:57	ga_ls8c_ard_3-0-0_091076_2017-03-19_final
2017-05-26 11:31:25	ga_ls8c_ard_3-0-0_112073_2017-05-26_final
2017-06-01 09:16:42	ga_ls8c_ard_3-0-0_090076_2017-05-31_final
2017-07-18 10:09:23	ga_ls8c_ard_3-0-0_099068_2017-07-18_final
2017-08-09 09:33:39	ga_ls8c_ard_3-0-0_093071_2017-08-09_final
2017-08-18 09:28:43	ga_ls8c_ard_3-0-0_092074_2017-08-17_final
2017-09-17 11:18:02	ga_ls8c_ard_3-0-0_110069_2017-09-17_final
2017-10-19 11:18:13	ga_ls8c_ard_3-0-0_110069_2017-10-19_final
2017-11-02 11:30:10	ga_ls8c_ard_3-0-0_112068_2017-11-02_final
2017-12-08 09:28:48	ga_ls8c_ard_3-0-0_092074_2017-12-07_final
2018-01-23 09:38:12	ga_ls8c_ard_3-0-0_094067_2018-01-23_final
2018-02-22 11:29:14	ga_ls8c_ard_3-0-0_112067_2018-02-22_final
2018-03-16 09:21:51	ga_ls8c_ard_3-0-0_090089_2018-03-15_final
2018-03-23 09:19:36	ga_ls8c_ard_3-0-0_091068_2018-03-22_final
2018-03-28 11:17:23	ga_ls8c_ard_3-0-0_110069_2018-03-28_final
2018-05-26 11:02:14	ga_ls8c_ard_3-0-0_107079_2018-05-26_final
2018-07-01 10:33:42	ga_ls8c_ard_3-0-0_103069_2018-07-01_final
2018-08-16 09:09:33	ga_ls8c_ard_3-0-0_089074_2018-08-15_final
2019-01-21 09:21:30	ga_ls8c_ard_3-0-0_091072_2019-01-20_final
2019-02-09 11:30:26	ga_ls8c_ard_3-0-0_112070_2019-02-09_final
2019-02-27 09:37:55	ga_ls8c_ard_3-0-0_094067_2019-02-27_final
2019-04-04 09:16:38	ga_ls8c_ard_3-1-0_090076_2019-04-03_final
2019-05-15 09:10:05	ga_ls8c_ard_3-0-0_089075_2019-05-14_final
2019-07-09 09:21:25	ga_ls8c_ard_3-1-0_090087_2019-07-08_final
2019-10-11 09:28:15	ga_ls8c_ard_3-1-0_092072_2019-10-10_final
2019-12-03 09:52:18	ga_ls8c_ard_3-1-0_095086_2019-12-03_final
2019-12-10 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-12-10_final
2020-01-19 10:42:35	ga_ls8c_ard_3-1-0_104073_2020-01-19_final
2020-03-28 09:22:37	ga_ls8c_ard_3-1-0_091075_2020-03-27_final
2020-05-10 09:06:56	ga_ls8c_ard_3-1-0_088083_2020-05-09_final
2020-05-22 09:27:18	ga_ls8c_ard_3-1-0_092072_2020-05-21_final
2020-07-23 09:38:08	ga_ls8c_ard_3-1-0_094067_2020-07-23_final
2020-08-08 11:17:53	ga_ls8c_ard_3-1-0_110069_2020-08-08_final
2020-12-03 09:57:31	ga_ls8c_ard_3-1-0_097068_2020-12-03_final
2020-12-18 10:59:07	ga_ls8c_ard_3-2-0_106083_2020-12-18_final
2021-05-02 09:19:37	ga_ls8c_ard_3-2-0_091068_2021-05-01_final
2021-09-15 10:13:48	ga_ls8c_ard_3-2-0_099078_2021-09-15_final
2021-09-28 09:38:34	ga_ls8c_ard_3-2-0_094067_2021-09-28_final
2021-10-30 09:38:39	ga_ls8c_ard_3-2-0_094067_2021-10-30_final
2021-11-22 09:45:57	ga_ls8c_ard_3-2-0_095070_2021-11-22_final
2021-11-24 09:34:00	ga_ls8c_ard_3-2-0_093071_2021-11-24_final
2022-01-29 09:26:13	ga_ls8c_ard_3-2-1_091083_2022-01-28_final
2022-02-06 11:53:20	ga_ls8c_ard_3-2-1_115080_2022-02-06_final
2022-03-02 09:27:17	ga_ls8c_ard_3-2-1_091086_2022-03-01_final
2022-03-17 10:19:13	ga_ls8c_ard_3-2-1_100077_2022-03-17_final
2022-06-30 10:13:46	ga_ls8c_ard_3-2-1_099078_2022-06-30_final
2022-07-17 10:55:49	ga_ls8c_ard_3-2-1_106075_2022-07-17_final
2022-09-03 09:18:01	ga_ls8c_ard_3-2-1_090077_2022-09-02_final
2023-01-03 09:58:35	ga_ls8c_ard_3-2-1_096086_2023-01-03_final
2023-03-29 10:08:32	ga_ls8c_ard_3-2-1_099066_2023-03-29_final
2023-06-12 11:31:18	ga_ls8c_ard_3-2-1_112073_2023-06-12_final
2023-07-09 09:33:44	ga_ls8c_ard_3-2-1_093072_2023-07-09_final
2023-11-18 09:10:20	ga_ls8c_ard_3-2-1_089074_2023-11-17_final
2023-12-28 09:56:57	ga_ls8c_ard_3-2-1_097067_2023-12-28_final
2024-02-05 10:07:50	ga_ls8c_ard_3-2-1_098079_2024-02-05_final
2024-02-11 09:30:21	ga_ls8c_ard_3-2-1_092078_2024-02-11_final
2024-03-24 10:04:38	ga_ls8c_ard_3-2-1_098072_2024-03-24_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years