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

66 results

Time (local)	Label
2013-06-21 10:15:02	ga_ls8c_ard_3-0-0_099077_2013-06-21_final
2013-11-22 09:14:54	ga_ls8c_ard_3-0-0_089082_2013-11-21_final
2014-06-15 10:19:24	ga_ls8c_ard_3-0-0_100078_2014-06-15_final
2014-06-16 09:27:23	ga_ls8c_ard_3-0-0_091087_2014-06-15_final
2014-07-20 09:11:35	ga_ls8c_ard_3-0-0_089078_2014-07-19_final
2015-06-05 09:11:17	ga_ls8c_ard_3-0-0_089079_2015-06-04_final
2015-09-25 09:12:54	ga_ls8c_ard_3-0-0_089081_2015-09-24_final
2015-10-12 11:32:17	ga_ls8c_ard_3-0-0_112074_2015-10-12_final
2015-12-16 10:34:23	ga_ls8c_ard_3-0-0_103068_2015-12-16_final
2016-06-01 11:25:21	ga_ls8c_ard_3-0-0_111073_2016-06-01_final
2016-06-18 10:33:22	ga_ls8c_ard_3-0-0_102082_2016-06-18_final
2016-09-04 09:07:20	ga_ls8c_ard_3-0-0_088082_2016-09-03_final
2016-10-19 10:14:15	ga_ls8c_ard_3-0-0_099079_2016-10-19_final
2017-04-01 09:46:23	ga_ls8c_ard_3-0-0_095073_2017-04-01_final
2017-04-04 10:19:15	ga_ls8c_ard_3-0-0_100078_2017-04-04_final
2017-04-30 09:16:47	ga_ls8c_ard_3-1-0_090077_2017-04-29_final
2017-06-20 09:46:32	ga_ls8c_ard_3-0-0_095073_2017-06-20_final
2017-09-20 10:14:28	ga_ls8c_ard_3-0-0_099080_2017-09-20_final
2017-12-08 09:29:12	ga_ls8c_ard_3-0-0_092075_2017-12-07_final
2017-12-25 10:10:07	ga_ls8c_ard_3-0-0_099069_2017-12-25_final
2018-02-12 10:53:49	ga_ls8c_ard_3-0-0_106071_2018-02-12_final
2018-03-02 10:44:55	ga_ls8c_ard_3-0-0_104080_2018-03-02_final
2018-03-23 09:22:24	ga_ls8c_ard_3-0-0_091075_2018-03-22_final
2018-05-02 10:15:04	ga_ls8c_ard_3-0-0_099084_2018-05-02_final
2018-05-02 11:50:22	ga_ls8c_ard_3-0-0_115075_2018-05-02_final
2018-05-25 11:57:04	ga_ls8c_ard_3-0-0_116077_2018-05-25_final
2018-06-18 09:33:10	ga_ls8c_ard_3-0-0_092088_2018-06-18_final
2018-07-11 11:13:40	ga_ls8c_ard_3-0-0_109076_2018-07-11_final
2018-10-16 10:19:33	ga_ls8c_ard_3-0-0_100078_2018-10-16_final
2019-08-17 11:05:06	ga_ls8c_ard_3-1-0_107083_2019-08-17_final
2019-12-28 09:40:52	ga_ls8c_ard_3-1-0_094073_2019-12-28_final
2020-03-25 10:28:14	ga_ls8c_ard_3-1-0_102069_2020-03-25_final
2020-04-08 09:05:59	ga_ls8c_ard_3-1-0_088080_2020-04-07_final
2020-05-27 11:25:09	ga_ls8c_ard_3-1-0_111073_2020-05-27_final
2020-07-22 10:39:21	ga_ls8c_ard_3-1-0_103081_2020-07-22_final
2020-10-14 10:09:04	ga_ls8c_ard_3-2-1_099066_2020-10-14_final
2020-11-12 11:18:11	ga_ls8c_ard_3-1-0_110069_2020-11-12_final
2020-12-05 11:24:27	ga_ls8c_ard_3-1-0_111069_2020-12-05_final
2021-01-01 09:34:32	ga_ls8c_ard_3-2-0_092088_2021-01-01_final
2021-01-02 10:11:24	ga_ls8c_ard_3-2-0_099072_2021-01-02_final
2021-02-07 09:46:55	ga_ls8c_ard_3-2-0_095073_2021-02-07_final
2021-03-02 11:31:27	ga_ls8c_ard_3-2-0_112072_2021-03-02_final
2021-03-03 10:39:24	ga_ls8c_ard_3-2-0_103081_2021-03-03_final
2021-04-12 11:23:24	ga_ls8c_ard_3-2-0_111068_2021-04-12_final
2021-04-14 11:14:13	ga_ls8c_ard_3-2-0_109076_2021-04-14_final
2021-05-11 09:17:26	ga_ls8c_ard_3-2-0_090078_2021-05-10_final
2021-10-24 10:17:20	ga_ls8c_ard_3-2-0_100071_2021-10-24_final
2021-12-10 09:34:48	ga_ls8c_ard_3-2-1_093073_2021-12-10_final
2021-12-14 09:12:04	ga_ls8c_ard_3-2-1_089078_2021-12-13_final
2022-06-05 10:21:45	ga_ls8c_ard_3-2-1_100083_2022-06-05_final
2022-07-06 11:14:46	ga_ls8c_ard_3-2-1_109076_2022-07-06_final
2022-07-29 09:40:37	ga_ls8c_ard_3-2-1_094072_2022-07-29_final
2022-08-10 10:05:02	ga_ls8c_ard_3-2-1_098071_2022-08-10_final
2022-08-11 10:48:42	ga_ls8c_ard_3-2-1_105072_2022-08-11_final
2022-11-25 11:25:50	ga_ls8c_ard_3-2-1_111072_2022-11-25_final
2023-01-04 10:39:51	ga_ls8c_ard_3-2-1_103081_2023-01-04_final
2023-01-24 10:10:17	ga_ls8c_ard_3-2-1_099069_2023-01-24_final
2023-02-03 09:12:06	ga_ls8c_ard_3-2-1_089078_2023-02-02_final
2023-02-27 09:57:38	ga_ls8c_ard_3-2-1_097069_2023-02-27_final
2023-03-04 10:19:44	ga_ls8c_ard_3-2-1_100078_2023-03-04_final
2023-03-21 09:22:46	ga_ls8c_ard_3-2-1_091075_2023-03-20_final
2023-04-02 11:25:27	ga_ls8c_ard_3-2-1_111073_2023-04-02_final
2023-04-30 10:15:24	ga_ls8c_ard_3-2-1_099084_2023-04-30_final
2023-04-30 11:51:53	ga_ls8c_ard_3-2-1_115078_2023-04-30_final
2023-08-26 09:40:02	ga_ls8c_ard_3-2-1_093087_2023-08-26_final
2023-09-21 10:10:24	ga_ls8c_ard_3-2-1_099070_2023-09-21_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