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

62 results

Time (local)	Label
2013-08-28 11:26:08	ga_ls8c_ard_3-0-0_111069_2013-08-28_final
2013-12-19 10:34:44	ga_ls8c_ard_3-0-0_102081_2013-12-19_final
2014-05-02 09:57:29	ga_ls8c_ard_3-0-0_096085_2014-05-02_final
2014-05-05 10:27:31	ga_ls8c_ard_3-0-0_101083_2014-05-05_final
2014-07-24 10:27:45	ga_ls8c_ard_3-0-0_101083_2014-07-24_final
2014-08-27 10:13:12	ga_ls8c_ard_3-0-0_099077_2014-08-27_final
2014-10-11 11:24:06	ga_ls8c_ard_3-0-0_110084_2014-10-11_final
2014-11-11 10:34:29	ga_ls8c_ard_3-0-0_103068_2014-11-11_final
2015-02-10 10:16:46	ga_ls8c_ard_3-0-0_100071_2015-02-10_final
2015-03-18 11:31:51	ga_ls8c_ard_3-0-0_112074_2015-03-18_final
2015-05-26 11:49:52	ga_ls8c_ard_3-0-0_115074_2015-05-26_final
2016-02-16 10:49:19	ga_ls8c_ard_3-0-0_105075_2016-02-16_final
2016-02-26 11:24:23	ga_ls8c_ard_3-0-0_111070_2016-02-26_final
2016-03-02 10:09:37	ga_ls8c_ard_3-0-0_098084_2016-03-02_final
2016-08-07 10:19:44	ga_ls8c_ard_3-0-0_100078_2016-08-07_final
2016-11-11 10:17:14	ga_ls8c_ard_3-0-0_100071_2016-11-11_final
2016-12-14 09:27:09	ga_ls8c_ard_3-0-0_091085_2016-12-13_final
2017-01-01 10:49:37	ga_ls8c_ard_3-0-0_105075_2017-01-01_final
2017-03-11 09:27:38	ga_ls8c_ard_3-0-0_092072_2017-03-10_final
2017-04-29 10:13:13	ga_ls8c_ard_3-0-0_099079_2017-04-29_final
2017-08-09 09:34:27	ga_ls8c_ard_3-0-0_093073_2017-08-09_final
2017-12-27 09:56:57	ga_ls8c_ard_3-0-0_097067_2017-12-27_final
2018-01-06 10:34:46	ga_ls8c_ard_3-0-0_103069_2018-01-06_final
2019-02-19 10:33:23	ga_ls8c_ard_3-0-0_102082_2019-02-19_final
2019-02-22 09:19:48	ga_ls8c_ard_3-0-0_091068_2019-02-21_final
2019-03-26 09:28:26	ga_ls8c_ard_3-1-0_091090_2019-03-25_final
2019-05-18 11:16:43	ga_ls8c_ard_3-0-0_110067_2019-05-18_final
2019-06-29 10:21:35	ga_ls8c_ard_3-1-0_100083_2019-06-29_final
2019-06-29 10:21:59	ga_ls8c_ard_3-1-0_100084_2019-06-29_final
2019-08-05 10:39:31	ga_ls8c_ard_3-1-0_103081_2019-08-05_final
2019-12-15 10:10:37	ga_ls8c_ard_3-2-0_099070_2019-12-15_final
2020-01-24 09:20:13	ga_ls8c_ard_3-1-0_091068_2020-01-23_final
2020-02-07 11:14:11	ga_ls8c_ard_3-1-0_109075_2020-02-07_final
2020-06-16 09:27:19	ga_ls8c_ard_3-1-0_091087_2020-06-15_final
2020-07-24 10:26:59	ga_ls8c_ard_3-1-0_101081_2020-07-24_final
2021-02-12 10:02:39	ga_ls8c_ard_3-2-1_098066_2021-02-12_final
2021-03-07 10:11:03	ga_ls8c_ard_3-2-0_099072_2021-03-07_final
2021-03-13 11:13:12	ga_ls8c_ard_3-2-0_109073_2021-03-13_final
2021-03-25 11:35:27	ga_ls8c_ard_3-2-0_113067_2021-03-25_final
2021-05-11 10:55:07	ga_ls8c_ard_3-2-0_106075_2021-05-11_final
2021-06-13 09:56:36	ga_ls8c_ard_3-2-0_097067_2021-06-13_final
2021-06-20 10:07:12	ga_ls8c_ard_3-2-0_098078_2021-06-20_final
2021-08-24 10:49:59	ga_ls8c_ard_3-2-0_105076_2021-08-24_final
2021-08-31 10:55:48	ga_ls8c_ard_3-2-0_106075_2021-08-31_final
2022-02-06 11:52:56	ga_ls8c_ard_3-2-1_115079_2022-02-06_final
2022-04-06 09:57:09	ga_ls8c_ard_3-2-1_096084_2022-04-06_final
2022-05-18 10:33:12	ga_ls8c_ard_3-2-1_102081_2022-05-18_final
2022-09-25 10:19:57	ga_ls8c_ard_3-2-1_100077_2022-09-25_final
2022-10-04 10:11:44	ga_ls8c_ard_3-2-1_099072_2022-10-04_final
2022-11-11 11:18:19	ga_ls8c_ard_3-2-1_109084_2022-11-11_final
2022-12-29 11:14:32	ga_ls8c_ard_3-2-1_109075_2022-12-29_final
2023-03-02 10:33:18	ga_ls8c_ard_3-2-1_102081_2023-03-02_final
2023-03-06 10:02:34	ga_ls8c_ard_3-2-1_098066_2023-03-06_final
2023-07-31 10:39:16	ga_ls8c_ard_3-2-1_103081_2023-07-31_final
2023-08-14 10:46:31	ga_ls8c_ard_3-2-1_105068_2023-08-14_final
2023-09-04 11:11:07	ga_ls8c_ard_3-2-1_108083_2023-09-04_final
2023-09-21 10:13:35	ga_ls8c_ard_3-2-1_099078_2023-09-21_final
2023-11-15 10:17:06	ga_ls8c_ard_3-2-1_100071_2023-11-15_final
2024-03-21 11:13:28	ga_ls8c_ard_3-2-1_109074_2024-03-21_final
2024-04-03 09:06:45	ga_ls8c_ard_3-2-1_088082_2024-04-02_final
2024-04-07 10:21:18	ga_ls8c_ard_3-2-1_100083_2024-04-07_final
2024-04-17 09:16:36	ga_ls8c_ard_3-2-1_090076_2024-04-16_nrt

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