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

59 results

Time (local)	Label
2013-05-14 10:52:09	ga_ls8c_ard_3-0-0_105077_2013-05-14_final
2013-06-12 10:21:42	ga_ls8c_ard_3-0-0_100078_2013-06-12_final
2013-06-28 10:24:03	ga_ls8c_ard_3-0-0_100084_2013-06-28_final
2013-07-27 11:30:28	ga_ls8c_ard_3-0-0_111080_2013-07-27_final
2013-10-31 09:53:43	ga_ls8c_ard_3-0-0_095086_2013-10-31_final
2014-03-19 09:34:18	ga_ls8c_ard_3-0-0_092087_2014-03-19_final
2014-05-27 09:46:20	ga_ls8c_ard_3-0-0_095073_2014-05-27_final
2015-04-05 11:17:17	ga_ls8c_ard_3-0-0_110069_2015-04-05_final
2015-05-30 11:26:22	ga_ls8c_ard_3-0-0_111077_2015-05-30_final
2015-07-17 11:23:15	ga_ls8c_ard_3-0-0_111068_2015-07-17_final
2015-07-17 11:23:39	ga_ls8c_ard_3-0-0_111069_2015-07-17_final
2015-10-21 11:24:09	ga_ls8c_ard_3-0-0_111069_2015-10-21_final
2016-01-25 11:29:45	ga_ls8c_ard_3-0-0_111083_2016-01-25_final
2016-09-16 09:30:29	ga_ls8c_ard_3-0-0_092078_2016-09-16_final
2016-09-24 10:19:32	ga_ls8c_ard_3-0-0_100077_2016-09-24_final
2016-11-24 11:24:26	ga_ls8c_ard_3-0-0_111069_2016-11-24_final
2016-12-28 09:38:40	ga_ls8c_ard_3-0-0_093083_2016-12-28_final
2017-01-20 09:43:57	ga_ls8c_ard_3-0-0_094081_2017-01-20_final
2017-02-12 09:45:57	ga_ls8c_ard_3-0-0_095071_2017-02-12_final
2017-02-15 11:58:31	ga_ls8c_ard_3-0-0_116078_2017-02-15_final
2017-05-03 09:46:04	ga_ls8c_ard_3-0-0_095073_2017-05-03_final
2017-06-18 09:56:53	ga_ls8c_ard_3-0-0_097068_2017-06-18_final
2018-01-19 10:04:34	ga_ls8c_ard_3-0-0_098071_2018-01-19_final
2018-03-06 10:16:34	ga_ls8c_ard_3-0-0_100071_2018-03-06_final
2018-04-08 09:19:28	ga_ls8c_ard_3-0-0_091068_2018-04-07_final
2018-06-07 11:22:53	ga_ls8c_ard_3-0-0_111069_2018-06-07_final
2018-09-06 09:27:27	ga_ls8c_ard_3-0-0_092072_2018-09-05_final
2019-01-08 11:30:32	ga_ls8c_ard_3-0-0_112070_2019-01-08_final
2019-03-26 09:21:15	ga_ls8c_ard_3-1-0_091072_2019-03-25_final
2019-08-13 11:24:13	ga_ls8c_ard_3-1-0_111069_2019-08-13_final
2019-10-04 12:37:49	ga_ls8c_ard_3-2-1_123067_2019-10-04_final
2019-10-31 09:07:31	ga_ls8c_ard_3-1-0_088082_2019-10-30_final
2020-03-24 11:23:52	ga_ls8c_ard_3-1-0_111069_2020-03-24_final
2020-07-18 11:02:03	ga_ls8c_ard_3-1-0_107076_2020-07-18_final
2020-09-06 09:12:18	ga_ls8c_ard_3-1-0_089079_2020-09-05_final
2020-09-21 10:04:49	ga_ls8c_ard_3-1-0_098071_2020-09-21_final
2020-10-07 11:42:10	ga_ls8c_ard_3-1-0_114067_2020-10-07_final
2021-01-15 09:38:24	ga_ls8c_ard_3-2-0_094067_2021-01-15_final
2021-02-05 10:02:04	ga_ls8c_ard_3-2-0_097080_2021-02-05_final
2021-02-08 10:29:22	ga_ls8c_ard_3-2-0_102071_2021-02-08_final
2021-04-30 09:34:24	ga_ls8c_ard_3-2-0_093074_2021-04-30_final
2021-05-02 09:25:36	ga_ls8c_ard_3-2-0_091083_2021-05-01_final
2021-06-13 11:35:29	ga_ls8c_ard_3-2-0_113067_2021-06-13_final
2021-06-27 11:51:29	ga_ls8c_ard_3-2-0_115076_2021-06-27_final
2021-07-23 09:11:18	ga_ls8c_ard_3-2-0_089077_2021-07-22_final
2021-10-08 11:58:59	ga_ls8c_ard_3-2-0_116078_2021-10-08_final
2021-10-26 11:42:16	ga_ls8c_ard_3-2-0_114067_2021-10-26_final
2022-05-30 09:16:39	ga_ls8c_ard_3-2-1_090075_2022-05-29_final
2022-08-21 11:24:38	ga_ls8c_ard_3-2-1_111069_2022-08-21_final
2022-10-10 11:17:28	ga_ls8c_ard_3-2-1_109082_2022-10-10_final
2023-01-18 09:16:23	ga_ls8c_ard_3-2-1_089089_2023-01-17_final
2023-04-12 10:23:51	ga_ls8c_ard_3-2-1_101074_2023-04-12_final
2023-06-03 11:37:46	ga_ls8c_ard_3-2-1_113074_2023-06-03_final
2023-06-18 09:17:46	ga_ls8c_ard_3-2-1_090079_2023-06-17_final
2023-06-30 11:21:06	ga_ls8c_ard_3-2-1_110078_2023-06-30_final
2023-08-29 10:02:57	ga_ls8c_ard_3-2-1_098067_2023-08-29_final
2023-09-22 09:16:46	ga_ls8c_ard_3-2-1_090075_2023-09-21_final
2024-03-11 10:35:42	ga_ls8c_ard_3-2-1_103072_2024-03-11_final
2024-04-08 09:22:29	ga_ls8c_ard_3-2-1_091075_2024-04-07_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