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

53 results

Time (local)	Label
2013-04-06 10:06:42	ga_ls8c_ard_3-0-0_098075_2013-04-06_final
2014-02-16 10:16:45	ga_ls8c_ard_3-0-0_099084_2014-02-16_final
2014-03-19 11:09:59	ga_ls8c_ard_3-0-0_108079_2014-03-19_final
2014-03-21 09:19:54	ga_ls8c_ard_3-0-0_090082_2014-03-20_final
2014-06-15 10:21:24	ga_ls8c_ard_3-0-0_100083_2014-06-15_final
2014-07-09 09:33:18	ga_ls8c_ard_3-0-0_092086_2014-07-09_final
2014-12-02 10:58:58	ga_ls8c_ard_3-0-0_106083_2014-12-02_final
2015-06-29 11:40:37	ga_ls8c_ard_3-0-0_113081_2015-06-29_final
2015-08-08 09:12:57	ga_ls8c_ard_3-0-0_089082_2015-08-07_final
2015-10-21 09:51:15	ga_ls8c_ard_3-0-0_095084_2015-10-21_final
2015-11-24 09:40:11	ga_ls8c_ard_3-0-0_093087_2015-11-24_final
2016-03-11 09:59:49	ga_ls8c_ard_3-0-0_097075_2016-03-11_final
2016-04-17 10:21:40	ga_ls8c_ard_3-0-0_100084_2016-04-17_final
2016-04-18 09:24:26	ga_ls8c_ard_3-0-0_091080_2016-04-17_final
2016-09-02 09:21:17	ga_ls8c_ard_3-0-0_090086_2016-09-01_final
2016-09-07 11:14:44	ga_ls8c_ard_3-0-0_109076_2016-09-07_final
2016-10-29 09:10:28	ga_ls8c_ard_3-0-0_089074_2016-10-28_final
2016-11-01 11:19:03	ga_ls8c_ard_3-0-0_110071_2016-11-01_final
2016-11-23 09:07:28	ga_ls8c_ard_3-0-0_088082_2016-11-22_final
2017-03-12 10:10:05	ga_ls8c_ard_3-0-0_099070_2017-03-12_final
2017-03-27 09:33:03	ga_ls8c_ard_3-0-0_092086_2017-03-27_final
2017-05-31 10:10:19	ga_ls8c_ard_3-0-0_099071_2017-05-31_final
2017-06-08 09:28:08	ga_ls8c_ard_3-0-0_091089_2017-06-07_final
2017-06-30 10:25:15	ga_ls8c_ard_3-0-0_101077_2017-06-30_final
2017-11-09 09:57:27	ga_ls8c_ard_3-0-0_097068_2017-11-09_final
2017-12-26 10:54:10	ga_ls8c_ard_3-0-0_106071_2017-12-26_final
2018-03-03 09:52:05	ga_ls8c_ard_3-0-0_095087_2018-03-03_final
2018-05-08 11:12:49	ga_ls8c_ard_3-0-0_109074_2018-05-08_final
2018-05-29 11:30:18	ga_ls8c_ard_3-0-0_112072_2018-05-29_final
2019-01-20 10:17:55	ga_ls8c_ard_3-0-0_100074_2019-01-20_final
2019-01-24 09:51:59	ga_ls8c_ard_3-0-0_096071_2019-01-24_final
2019-04-22 09:06:33	ga_ls8c_ard_3-0-0_088082_2019-04-21_final
2019-06-19 11:18:57	ga_ls8c_ard_3-1-0_110072_2019-06-19_final
2019-06-29 10:16:48	ga_ls8c_ard_3-1-0_100071_2019-06-29_final
2020-02-03 09:57:38	ga_ls8c_ard_3-1-0_097069_2020-02-03_final
2020-02-07 11:14:35	ga_ls8c_ard_3-1-0_109076_2020-02-07_final
2020-05-30 10:18:22	ga_ls8c_ard_3-1-0_100076_2020-05-30_final
2020-07-26 10:11:03	ga_ls8c_ard_3-1-0_099072_2020-07-26_final
2021-02-06 10:40:33	ga_ls8c_ard_3-2-0_104068_2021-02-06_final
2021-02-07 11:23:24	ga_ls8c_ard_3-2-0_111067_2021-02-07_final
2021-02-17 10:27:09	ga_ls8c_ard_3-2-0_101081_2021-02-17_final
2021-04-12 11:28:35	ga_ls8c_ard_3-2-0_111081_2021-04-12_final
2021-04-21 09:40:16	ga_ls8c_ard_3-2-0_094073_2021-04-21_final
2021-06-17 09:39:05	ga_ls8c_ard_3-2-0_093085_2021-06-17_final
2021-06-22 09:57:38	ga_ls8c_ard_3-2-0_096085_2021-06-22_final
2022-02-10 09:50:54	ga_ls8c_ard_3-2-1_095083_2022-02-10_final
2022-05-28 11:06:16	ga_ls8c_ard_3-2-1_108071_2022-05-28_final
2022-08-13 10:40:21	ga_ls8c_ard_3-2-1_103082_2022-08-13_final
2022-12-25 10:02:21	ga_ls8c_ard_3-2-1_097080_2022-12-25_final
2023-10-12 10:33:25	ga_ls8c_ard_3-2-1_102081_2023-10-12_final
2024-03-14 09:28:54	ga_ls8c_ard_3-2-1_092075_2024-03-13_final
2024-03-16 10:53:00	ga_ls8c_ard_3-2-1_106069_2024-03-16_final
2024-04-02 10:03:34	ga_ls8c_ard_3-2-1_097085_2024-04-02_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