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

74 results

Time (local)	Label
2013-04-03 11:26:48	ga_ls8c_ard_3-0-0_111072_2013-04-03_final
2013-06-09 09:54:01	ga_ls8c_ard_3-0-0_095086_2013-06-09_final
2014-02-05 10:29:29	ga_ls8c_ard_3-0-0_102069_2014-02-05_final
2014-03-03 09:34:50	ga_ls8c_ard_3-0-0_092088_2014-03-03_final
2014-06-05 11:16:45	ga_ls8c_ard_3-0-0_110067_2014-06-05_final
2014-08-01 09:32:01	ga_ls8c_ard_3-0-0_093067_2014-08-01_final
2014-09-02 11:13:50	ga_ls8c_ard_3-0-0_109074_2014-09-02_final
2015-03-06 09:33:58	ga_ls8c_ard_3-0-0_092088_2015-03-06_final
2015-03-14 11:57:23	ga_ls8c_ard_3-0-0_116076_2015-03-14_final
2015-04-09 10:52:10	ga_ls8c_ard_3-0-0_106068_2015-04-09_final
2015-04-24 10:12:51	ga_ls8c_ard_3-0-0_099078_2015-04-24_final
2015-10-23 09:38:54	ga_ls8c_ard_3-0-0_093084_2015-10-23_final
2016-01-22 10:54:28	ga_ls8c_ard_3-0-0_106072_2016-01-22_final
2016-02-05 09:29:05	ga_ls8c_ard_3-0-0_092075_2016-02-04_final
2016-02-15 10:03:41	ga_ls8c_ard_3-0-0_098069_2016-02-15_final
2016-11-01 09:46:10	ga_ls8c_ard_3-0-0_094086_2016-11-01_final
2017-04-26 11:18:26	ga_ls8c_ard_3-0-0_110072_2017-04-26_final
2017-05-08 10:02:41	ga_ls8c_ard_3-0-0_098068_2017-05-08_final
2017-07-19 09:20:57	ga_ls8c_ard_3-0-0_090086_2017-07-18_final
2017-08-02 11:05:55	ga_ls8c_ard_3-0-0_108070_2017-08-02_final
2017-10-21 09:26:10	ga_ls8c_ard_3-0-0_092067_2017-10-20_final
2017-11-17 10:48:50	ga_ls8c_ard_3-0-0_105073_2017-11-17_final
2017-12-17 11:05:08	ga_ls8c_ard_3-0-0_107083_2017-12-17_final
2017-12-25 10:13:18	ga_ls8c_ard_3-0-0_099077_2017-12-25_final
2018-02-08 11:16:57	ga_ls8c_ard_3-0-0_110067_2018-02-08_final
2018-02-20 10:09:06	ga_ls8c_ard_3-0-0_098083_2018-02-20_final
2018-03-12 09:39:49	ga_ls8c_ard_3-0-0_094072_2018-03-12_final
2018-05-16 10:26:29	ga_ls8c_ard_3-0-0_101082_2018-05-16_final
2018-06-28 10:02:46	ga_ls8c_ard_3-0-0_098069_2018-06-28_final
2018-09-23 10:13:35	ga_ls8c_ard_3-0-0_099079_2018-09-23_final
2018-10-26 10:55:52	ga_ls8c_ard_3-0-0_106076_2018-10-26_final
2018-12-22 10:46:29	ga_ls8c_ard_3-0-0_105068_2018-12-22_final
2019-02-07 10:07:06	ga_ls8c_ard_3-0-0_098078_2019-02-07_final
2019-03-24 09:38:48	ga_ls8c_ard_3-1-0_093085_2019-03-24_final
2019-05-11 11:14:03	ga_ls8c_ard_3-0-0_109076_2019-05-11_final
2019-07-31 10:19:45	ga_ls8c_ard_3-1-0_100078_2019-07-31_final
2019-09-07 11:20:07	ga_ls8c_ard_3-1-0_110074_2019-09-07_final
2019-09-07 11:20:55	ga_ls8c_ard_3-1-0_110076_2019-09-07_final
2019-11-04 10:17:41	ga_ls8c_ard_3-1-0_100072_2019-11-04_final
2020-01-27 11:32:23	ga_ls8c_ard_3-1-0_112074_2020-01-27_final
2020-02-07 09:37:41	ga_ls8c_ard_3-1-0_093081_2020-02-07_final
2020-02-25 09:27:39	ga_ls8c_ard_3-1-0_091087_2020-02-24_final
2020-05-02 11:30:07	ga_ls8c_ard_3-1-0_112070_2020-05-02_final
2020-05-06 09:32:52	ga_ls8c_ard_3-1-0_092086_2020-05-06_final
2020-06-01 11:44:07	ga_ls8c_ard_3-1-0_114074_2020-06-01_final
2020-06-11 09:05:56	ga_ls8c_ard_3-1-0_088080_2020-06-10_final
2020-10-18 09:46:20	ga_ls8c_ard_3-1-0_095071_2020-10-18_final
2020-11-17 11:42:20	ga_ls8c_ard_3-1-0_113083_2020-11-17_final
2020-12-14 09:40:34	ga_ls8c_ard_3-1-0_094072_2020-12-14_final
2021-01-11 11:47:38	ga_ls8c_ard_3-2-0_114081_2021-01-11_final
2021-02-04 09:22:24	ga_ls8c_ard_3-2-0_090089_2021-02-03_final
2021-02-16 11:19:35	ga_ls8c_ard_3-2-0_110073_2021-02-16_final
2021-03-19 10:34:04	ga_ls8c_ard_3-2-0_103068_2021-03-19_final
2021-05-02 09:25:12	ga_ls8c_ard_3-2-0_091082_2021-05-01_final
2021-05-03 10:02:04	ga_ls8c_ard_3-2-1_098066_2021-05-03_final
2021-06-16 10:28:42	ga_ls8c_ard_3-2-0_102070_2021-06-16_final
2021-06-27 10:09:01	ga_ls8c_ard_3-2-0_099067_2021-06-27_final
2021-07-29 10:15:09	ga_ls8c_ard_3-2-0_099082_2021-07-29_final
2021-09-25 10:49:19	ga_ls8c_ard_3-2-0_105074_2021-09-25_final
2021-11-06 09:46:25	ga_ls8c_ard_3-2-0_095071_2021-11-06_final
2021-12-24 11:27:11	ga_ls8c_ard_3-2-1_111076_2021-12-24_final
2022-04-25 10:22:52	ga_ls8c_ard_3-2-1_101071_2022-04-25_final
2022-05-18 10:30:24	ga_ls8c_ard_3-2-1_102074_2022-05-18_final
2022-07-04 11:24:20	ga_ls8c_ard_3-2-1_111069_2022-07-04_final
2022-08-30 11:19:38	ga_ls8c_ard_3-2-1_110072_2022-08-30_final
2022-09-28 10:47:39	ga_ls8c_ard_3-2-1_105069_2022-09-28_final
2022-12-16 10:10:12	ga_ls8c_ard_3-2-1_098084_2022-12-16_final
2023-01-26 10:02:19	ga_ls8c_ard_3-2-1_097080_2023-01-26_final
2023-02-15 11:13:59	ga_ls8c_ard_3-2-1_109074_2023-02-15_final
2023-06-30 09:40:37	ga_ls8c_ard_3-2-1_094074_2023-06-30_final
2023-07-03 11:52:02	ga_ls8c_ard_3-2-1_115078_2023-07-03_final
2023-08-14 09:16:00	ga_ls8c_ard_3-2-1_089089_2023-08-13_final
2024-02-06 09:12:13	ga_ls8c_ard_3-2-1_089079_2024-02-05_final
2024-04-23 11:57:15	ga_ls8c_ard_3-2-1_116076_2024-04-23_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