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
2014-03-26 11:14:25	ga_ls8c_ard_3-0-0_109075_2014-03-26_final
2014-06-15 10:21:24	ga_ls8c_ard_3-0-0_100083_2014-06-15_final
2014-07-21 09:50:28	ga_ls8c_ard_3-0-0_096067_2014-07-21_final
2014-11-12 11:22:56	ga_ls8c_ard_3-0-0_110081_2014-11-12_final
2015-03-14 10:21:17	ga_ls8c_ard_3-0-0_100083_2015-03-14_final
2015-09-10 09:50:28	ga_ls8c_ard_3-0-0_096067_2015-09-10_final
2015-11-25 10:19:27	ga_ls8c_ard_3-0-0_100077_2015-11-25_final
2015-11-29 09:50:44	ga_ls8c_ard_3-0-0_096067_2015-11-29_final
2016-02-24 11:35:33	ga_ls8c_ard_3-0-0_113067_2016-02-24_final
2016-02-29 10:17:12	ga_ls8c_ard_3-0-0_100072_2016-02-29_final
2016-03-13 09:44:15	ga_ls8c_ard_3-0-0_095067_2016-03-13_final
2016-03-31 11:13:47	ga_ls8c_ard_3-0-0_109075_2016-03-31_final
2016-04-16 11:13:42	ga_ls8c_ard_3-1-0_109075_2016-04-16_final
2016-06-14 10:54:05	ga_ls8c_ard_3-0-0_106072_2016-06-14_final
2016-07-13 10:27:49	ga_ls8c_ard_3-0-0_101083_2016-07-13_final
2016-09-28 11:29:42	ga_ls8c_ard_3-0-0_112067_2016-09-28_final
2016-09-30 11:18:08	ga_ls8c_ard_3-0-0_110069_2016-09-30_final
2016-10-25 09:34:47	ga_ls8c_ard_3-0-0_093073_2016-10-25_final
2016-12-26 11:25:31	ga_ls8c_ard_3-0-0_111072_2016-12-26_final
2017-03-25 11:17:32	ga_ls8c_ard_3-0-0_110069_2017-03-25_final
2017-04-05 09:21:38	ga_ls8c_ard_3-0-0_091073_2017-04-04_final
2017-04-18 10:29:53	ga_ls8c_ard_3-0-0_102074_2017-04-18_final
2017-06-20 09:44:08	ga_ls8c_ard_3-0-0_095067_2017-06-20_final
2017-07-01 09:27:38	ga_ls8c_ard_3-0-0_092072_2017-06-30_final
2017-08-28 11:47:31	ga_ls8c_ard_3-0-0_114081_2017-08-28_final
2018-02-18 10:19:05	ga_ls8c_ard_3-0-0_100077_2018-02-18_final
2018-04-09 10:07:31	ga_ls8c_ard_3-0-0_098080_2018-04-09_final
2018-07-15 09:09:41	ga_ls8c_ard_3-0-0_089075_2018-07-14_final
2018-12-22 09:13:59	ga_ls8c_ard_3-0-0_089084_2018-12-21_final
2019-01-30 09:16:52	ga_ls8c_ard_3-0-0_090076_2019-01-29_final
2019-02-16 11:35:24	ga_ls8c_ard_3-0-0_113067_2019-02-16_final
2019-03-31 11:19:27	ga_ls8c_ard_3-1-0_110074_2019-03-31_final
2019-08-20 09:50:45	ga_ls8c_ard_3-1-0_096067_2019-08-20_final
2019-11-08 11:29:51	ga_ls8c_ard_3-1-0_112067_2019-11-08_final
2019-11-24 09:50:54	ga_ls8c_ard_3-1-0_096067_2019-11-24_final
2020-01-17 09:20:04	ga_ls8c_ard_3-1-0_090083_2020-01-16_final
2020-02-12 11:29:55	ga_ls8c_ard_3-1-0_112068_2020-02-12_final
2020-02-16 09:27:54	ga_ls8c_ard_3-1-0_092072_2020-02-15_final
2020-03-15 09:51:15	ga_ls8c_ard_3-1-0_096069_2020-03-15_final
2020-08-30 09:06:28	ga_ls8c_ard_3-1-0_088080_2020-08-29_final
2020-11-30 09:34:12	ga_ls8c_ard_3-1-0_092087_2020-11-30_final
2020-12-11 09:16:28	ga_ls8c_ard_3-1-0_089089_2020-12-10_final
2021-07-21 11:01:43	ga_ls8c_ard_3-2-0_107075_2021-07-21_final
2021-08-22 09:28:15	ga_ls8c_ard_3-2-0_091088_2021-08-21_final
2021-09-21 11:14:49	ga_ls8c_ard_3-2-0_109076_2021-09-21_final
2021-09-26 09:50:55	ga_ls8c_ard_3-2-0_096067_2021-09-26_final
2021-10-29 10:36:40	ga_ls8c_ard_3-2-0_103073_2021-10-29_final
2022-05-03 09:33:27	ga_ls8c_ard_3-2-1_093071_2022-05-03_final
2022-06-11 11:18:50	ga_ls8c_ard_3-2-1_110071_2022-06-11_final
2022-10-29 11:47:39	ga_ls8c_ard_3-2-1_114080_2022-10-29_final
2022-11-30 10:03:07	ga_ls8c_ard_3-2-1_098066_2022-11-30_final
2022-12-23 10:14:17	ga_ls8c_ard_3-2-1_099079_2022-12-23_final
2023-02-02 10:07:19	ga_ls8c_ard_3-2-1_098077_2023-02-02_final
2023-03-19 11:17:38	ga_ls8c_ard_3-2-1_109084_2023-03-19_final
2023-03-22 10:03:37	ga_ls8c_ard_3-2-1_098069_2023-03-22_final
2023-03-28 11:07:46	ga_ls8c_ard_3-2-1_108075_2023-03-28_final
2023-04-30 10:13:00	ga_ls8c_ard_3-2-1_099078_2023-04-30_final
2023-07-27 09:21:28	ga_ls8c_ard_3-2-1_091072_2023-07-26_final
2024-04-01 09:17:06	ga_ls8c_ard_3-2-1_090077_2024-03-31_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