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

49 results

Time (local)	Label
2013-06-02 11:19:10	ga_ls8c_ard_3-0-0_110067_2013-06-02_final
2013-12-08 10:51:01	ga_ls8c_ard_3-0-0_105075_2013-12-08_final
2013-12-31 09:18:30	ga_ls8c_ard_3-0-0_090076_2013-12-30_final
2014-02-21 10:34:03	ga_ls8c_ard_3-0-0_102081_2014-02-21_final
2015-01-21 09:06:18	ga_ls8c_ard_3-0-0_088080_2015-01-20_final
2015-08-13 11:07:38	ga_ls8c_ard_3-0-0_108075_2015-08-13_final
2015-12-27 10:17:26	ga_ls8c_ard_3-0-0_100072_2015-12-27_final
2016-04-10 10:13:08	ga_ls8c_ard_3-0-0_099078_2016-04-10_final
2016-10-04 09:16:58	ga_ls8c_ard_3-0-0_090075_2016-10-03_final
2016-10-14 09:58:30	ga_ls8c_ard_3-0-0_096086_2016-10-14_final
2017-02-01 10:09:23	ga_ls8c_ard_3-0-0_098083_2017-02-01_final
2017-02-12 11:24:02	ga_ls8c_ard_3-0-0_111069_2017-02-12_final
2017-03-30 09:57:33	ga_ls8c_ard_3-0-0_097070_2017-03-30_final
2017-05-16 10:55:01	ga_ls8c_ard_3-0-0_106075_2017-05-16_final
2017-06-20 09:46:32	ga_ls8c_ard_3-0-0_095073_2017-06-20_final
2017-07-12 09:10:19	ga_ls8c_ard_3-0-0_089075_2017-07-11_final
2017-09-04 10:13:38	ga_ls8c_ard_3-0-0_099078_2017-09-04_final
2017-09-17 09:40:21	ga_ls8c_ard_3-0-0_094072_2017-09-17_final
2017-11-30 10:21:50	ga_ls8c_ard_3-0-0_100083_2017-11-30_final
2018-06-26 10:18:42	ga_ls8c_ard_3-0-0_100078_2018-06-26_final
2018-06-29 10:48:50	ga_ls8c_ard_3-0-0_105076_2018-06-29_final
2019-10-17 10:33:39	ga_ls8c_ard_3-1-0_102081_2019-10-17_final
2019-11-13 10:13:28	ga_ls8c_ard_3-1-0_099077_2019-11-13_final
2020-04-20 11:07:30	ga_ls8c_ard_3-1-0_108075_2020-04-20_final
2020-05-14 10:19:07	ga_ls8c_ard_3-1-0_100078_2020-05-14_final
2020-05-20 11:18:09	ga_ls8c_ard_3-1-0_110071_2020-05-20_final
2021-01-01 11:08:13	ga_ls8c_ard_3-2-0_108075_2021-01-01_final
2021-01-08 09:34:40	ga_ls8c_ard_3-2-0_093073_2021-01-08_final
2021-07-07 10:49:42	ga_ls8c_ard_3-2-0_105076_2021-07-07_final
2021-10-14 11:20:19	ga_ls8c_ard_3-2-0_110074_2021-10-14_final
2022-02-23 09:21:31	ga_ls8c_ard_3-2-1_090087_2022-02-22_final
2022-02-28 11:12:09	ga_ls8c_ard_3-2-1_109070_2022-02-28_final
2022-03-10 10:10:42	ga_ls8c_ard_3-2-1_099071_2022-03-10_final
2022-04-19 10:59:36	ga_ls8c_ard_3-2-1_107070_2022-04-19_final
2022-05-18 10:28:48	ga_ls8c_ard_3-2-1_102070_2022-05-18_final
2022-05-19 11:13:40	ga_ls8c_ard_3-2-1_109074_2022-05-19_final
2022-06-06 09:28:56	ga_ls8c_ard_3-2-1_091090_2022-06-05_final
2022-07-04 11:24:20	ga_ls8c_ard_3-2-1_111069_2022-07-04_final
2022-07-04 11:24:44	ga_ls8c_ard_3-2-1_111070_2022-07-04_final
2022-11-21 11:51:44	ga_ls8c_ard_3-2-1_115075_2022-11-21_final
2023-02-03 10:47:23	ga_ls8c_ard_3-2-1_105069_2023-02-03_final
2023-06-01 10:12:26	ga_ls8c_ard_3-2-1_099077_2023-06-01_final
2023-06-01 10:12:50	ga_ls8c_ard_3-2-1_099078_2023-06-01_final
2023-07-02 11:06:46	ga_ls8c_ard_3-2-1_108073_2023-07-02_final
2023-11-24 10:08:59	ga_ls8c_ard_3-2-1_099066_2023-11-24_final
2023-12-05 11:36:23	ga_ls8c_ard_3-2-1_112084_2023-12-05_final
2023-12-30 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-12-30_final
2024-01-21 10:49:53	ga_ls8c_ard_3-2-1_105076_2024-01-21_final
2024-03-05 11:11:38	ga_ls8c_ard_3-2-1_109069_2024-03-05_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