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

74 results

Time (local)	Label
2013-04-15 09:48:02	ga_ls8c_ard_3-0-0_094087_2013-04-15_final
2014-09-03 10:22:12	ga_ls8c_ard_3-0-0_100084_2014-09-03_final
2015-04-02 09:09:31	ga_ls8c_ard_3-0-0_089074_2015-04-01_final
2015-04-03 11:30:50	ga_ls8c_ard_3-0-0_112072_2015-04-03_final
2015-06-22 11:30:47	ga_ls8c_ard_3-0-0_112072_2015-06-22_final
2015-06-25 10:26:48	ga_ls8c_ard_3-0-0_101082_2015-06-25_final
2015-08-10 10:39:30	ga_ls8c_ard_3-0-0_103082_2015-08-10_final
2015-08-15 09:16:48	ga_ls8c_ard_3-0-0_090076_2015-08-14_final
2015-11-06 11:26:12	ga_ls8c_ard_3-0-0_111074_2015-11-06_final
2015-11-26 09:27:49	ga_ls8c_ard_3-0-0_091087_2015-11-25_final
2015-12-01 11:18:04	ga_ls8c_ard_3-0-0_110069_2015-12-01_final
2016-02-25 09:07:26	ga_ls8c_ard_3-0-0_088083_2016-02-24_final
2016-04-08 10:22:43	ga_ls8c_ard_3-0-0_101071_2016-04-08_final
2016-04-09 09:27:29	ga_ls8c_ard_3-0-0_092072_2016-04-08_final
2016-04-21 11:31:00	ga_ls8c_ard_3-0-0_112072_2016-04-21_final
2016-07-18 09:07:30	ga_ls8c_ard_3-0-0_088083_2016-07-17_final
2016-07-21 09:33:38	ga_ls8c_ard_3-0-0_093071_2016-07-21_final
2016-09-14 09:40:03	ga_ls8c_ard_3-0-0_094071_2016-09-14_final
2017-01-20 09:39:57	ga_ls8c_ard_3-0-0_094071_2017-01-20_final
2017-02-05 09:40:38	ga_ls8c_ard_3-0-0_094073_2017-02-05_final
2017-02-05 11:19:31	ga_ls8c_ard_3-0-0_110073_2017-02-05_final
2017-04-13 10:13:00	ga_ls8c_ard_3-0-0_099078_2017-04-13_final
2017-08-14 11:29:55	ga_ls8c_ard_3-0-0_112068_2017-08-14_final
2017-08-31 10:39:56	ga_ls8c_ard_3-0-0_103082_2017-08-31_final
2017-09-15 11:30:47	ga_ls8c_ard_3-0-0_112070_2017-09-15_final
2017-09-28 09:25:53	ga_ls8c_ard_3-0-0_091082_2017-09-27_final
2017-09-29 11:42:03	ga_ls8c_ard_3-0-0_114067_2017-09-29_final
2017-09-30 10:49:38	ga_ls8c_ard_3-0-0_105075_2017-09-30_final
2018-01-09 11:10:50	ga_ls8c_ard_3-0-0_108082_2018-01-09_final
2018-02-12 09:16:55	ga_ls8c_ard_3-0-0_090076_2018-02-11_final
2018-04-27 09:50:35	ga_ls8c_ard_3-0-0_096069_2018-04-27_final
2018-09-09 09:57:10	ga_ls8c_ard_3-0-0_097069_2018-09-09_final
2018-09-10 09:07:08	ga_ls8c_ard_3-0-0_088083_2018-09-09_final
2018-09-18 11:31:06	ga_ls8c_ard_3-0-0_112072_2018-09-18_final
2018-10-03 09:11:04	ga_ls8c_ard_3-0-0_089077_2018-10-02_final
2018-11-10 11:51:32	ga_ls8c_ard_3-0-0_115076_2018-11-10_final
2018-12-11 09:27:44	ga_ls8c_ard_3-0-0_092072_2018-12-10_final
2019-02-08 10:49:34	ga_ls8c_ard_3-0-0_105076_2019-02-08_final
2019-11-03 09:34:02	ga_ls8c_ard_3-1-0_093071_2019-11-03_final
2019-11-07 09:16:53	ga_ls8c_ard_3-1-0_089090_2019-11-06_final
2019-12-09 09:10:26	ga_ls8c_ard_3-1-0_089074_2019-12-08_final
2019-12-23 09:22:45	ga_ls8c_ard_3-1-0_091074_2019-12-22_final
2019-12-27 10:39:17	ga_ls8c_ard_3-1-0_103080_2019-12-27_final
2020-04-18 09:44:35	ga_ls8c_ard_3-1-0_094084_2020-04-18_final
2020-05-08 09:21:17	ga_ls8c_ard_3-1-0_090088_2020-05-07_final
2020-08-19 09:28:31	ga_ls8c_ard_3-1-0_091089_2020-08-18_final
2020-08-26 11:06:27	ga_ls8c_ard_3-1-0_108071_2020-08-26_final
2020-10-01 09:06:39	ga_ls8c_ard_3-1-0_088080_2020-09-30_final
2020-10-03 10:33:34	ga_ls8c_ard_3-1-0_102081_2020-10-03_final
2020-10-04 09:34:46	ga_ls8c_ard_3-1-0_093073_2020-10-04_final
2020-10-13 11:07:53	ga_ls8c_ard_3-1-0_108074_2020-10-13_final
2020-12-09 09:20:26	ga_ls8c_ard_3-1-0_091068_2020-12-08_final
2021-02-23 11:23:19	ga_ls8c_ard_3-2-0_111067_2021-02-23_final
2021-03-27 11:27:29	ga_ls8c_ard_3-2-0_111078_2021-03-27_final
2021-04-09 10:55:43	ga_ls8c_ard_3-2-0_106076_2021-04-09_final
2021-05-09 09:28:10	ga_ls8c_ard_3-2-0_092074_2021-05-08_final
2021-06-26 09:28:32	ga_ls8c_ard_3-2-0_092074_2021-06-25_final
2021-07-28 09:28:41	ga_ls8c_ard_3-2-0_092074_2021-07-27_final
2021-09-05 11:14:22	ga_ls8c_ard_3-2-0_109075_2021-09-05_final
2021-09-28 11:19:27	ga_ls8c_ard_3-2-0_110072_2021-09-28_final
2021-11-18 10:09:03	ga_ls8c_ard_3-2-1_099066_2021-11-18_final
2021-12-08 09:52:21	ga_ls8c_ard_3-2-1_095086_2021-12-08_final
2021-12-19 09:28:12	ga_ls8c_ard_3-2-1_092072_2021-12-18_final
2022-01-02 11:18:09	ga_ls8c_ard_3-2-1_110069_2022-01-02_final
2022-01-04 09:32:06	ga_ls8c_ard_3-2-1_092082_2022-01-04_final
2022-01-11 09:33:53	ga_ls8c_ard_3-2-1_093071_2022-01-11_final
2022-07-21 10:33:57	ga_ls8c_ard_3-2-1_102082_2022-07-21_final
2022-12-06 09:28:25	ga_ls8c_ard_3-2-1_092072_2022-12-05_final
2023-06-16 09:28:07	ga_ls8c_ard_3-2-1_092074_2023-06-15_final
2023-08-03 09:28:31	ga_ls8c_ard_3-2-1_092074_2023-08-02_final
2023-10-02 11:31:59	ga_ls8c_ard_3-2-1_112073_2023-10-02_final
2023-10-16 10:09:30	ga_ls8c_ard_3-2-1_098083_2023-10-16_final
2024-03-16 09:16:55	ga_ls8c_ard_3-2-1_090076_2024-03-15_final
2024-03-24 10:09:49	ga_ls8c_ard_3-2-1_098085_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years