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

73 results

Time (local)	Label
2013-06-25 11:25:14	ga_ls8c_ard_3-0-0_111067_2013-06-25_final
2013-07-07 10:12:19	ga_ls8c_ard_3-0-0_099070_2013-07-07_final
2013-08-19 09:52:37	ga_ls8c_ard_3-0-0_096067_2013-08-19_final
2013-11-29 09:23:54	ga_ls8c_ard_3-0-0_090089_2013-11-28_final
2013-12-04 11:18:32	ga_ls8c_ard_3-0-0_109082_2013-12-04_final
2013-12-26 10:37:17	ga_ls8c_ard_3-0-0_103072_2013-12-26_final
2014-03-01 09:38:52	ga_ls8c_ard_3-0-0_094067_2014-03-01_final
2015-03-01 09:11:05	ga_ls8c_ard_3-0-0_089077_2015-02-28_final
2015-04-30 09:32:54	ga_ls8c_ard_3-0-0_093071_2015-04-30_final
2015-07-10 09:44:55	ga_ls8c_ard_3-0-0_094085_2015-07-10_final
2015-08-02 11:23:43	ga_ls8c_ard_3-0-0_111069_2015-08-02_final
2015-08-05 11:57:24	ga_ls8c_ard_3-0-0_116076_2015-08-05_final
2015-09-03 09:44:13	ga_ls8c_ard_3-0-0_095067_2015-09-03_final
2015-12-21 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-12-20_final
2016-01-02 09:44:43	ga_ls8c_ard_3-0-0_094083_2016-01-02_final
2016-03-19 09:11:07	ga_ls8c_ard_3-0-0_089077_2016-03-18_final
2016-03-28 09:06:50	ga_ls8c_ard_3-0-0_088082_2016-03-27_final
2016-04-14 11:22:53	ga_ls8c_ard_3-0-0_111067_2016-04-14_final
2016-07-25 09:12:07	ga_ls8c_ard_3-0-0_089079_2016-07-24_final
2016-08-31 09:29:14	ga_ls8c_ard_3-0-0_092075_2016-08-30_final
2016-12-05 09:29:23	ga_ls8c_ard_3-0-0_092075_2016-12-04_final
2016-12-27 10:30:18	ga_ls8c_ard_3-0-0_102073_2016-12-27_final
2017-01-11 11:23:28	ga_ls8c_ard_3-0-0_111067_2017-01-11_final
2017-01-20 09:38:22	ga_ls8c_ard_3-0-0_094067_2017-01-20_final
2017-02-02 10:46:15	ga_ls8c_ard_3-0-0_105067_2017-02-02_final
2017-02-19 09:50:30	ga_ls8c_ard_3-0-0_096067_2017-02-19_final
2017-03-19 10:16:35	ga_ls8c_ard_3-0-0_100071_2017-03-19_final
2017-03-24 10:39:03	ga_ls8c_ard_3-0-0_103081_2017-03-24_final
2017-04-20 10:18:42	ga_ls8c_ard_3-0-0_100077_2017-04-20_final
2017-06-20 09:44:08	ga_ls8c_ard_3-0-0_095067_2017-06-20_final
2017-08-25 09:32:08	ga_ls8c_ard_3-0-0_093067_2017-08-25_final
2017-12-31 09:32:12	ga_ls8c_ard_3-0-0_093067_2017-12-31_final
2018-03-26 09:50:05	ga_ls8c_ard_3-0-0_096067_2018-03-26_final
2018-04-12 10:38:47	ga_ls8c_ard_3-0-0_103081_2018-04-12_final
2018-10-19 09:15:58	ga_ls8c_ard_3-0-0_089089_2018-10-18_final
2019-01-23 09:11:07	ga_ls8c_ard_3-0-0_089077_2019-01-22_final
2019-02-09 09:50:21	ga_ls8c_ard_3-0-0_096067_2019-02-09_final
2019-05-19 10:22:42	ga_ls8c_ard_3-0-0_101071_2019-05-19_final
2019-09-11 10:59:01	ga_ls8c_ard_3-1-0_106083_2019-09-11_final
2019-10-23 09:50:59	ga_ls8c_ard_3-1-0_096067_2019-10-23_final
2019-12-09 09:14:01	ga_ls8c_ard_3-1-0_089083_2019-12-08_final
2019-12-31 11:53:02	ga_ls8c_ard_3-1-0_115079_2019-12-31_final
2020-01-11 11:29:40	ga_ls8c_ard_3-1-0_112067_2020-01-11_final
2020-01-20 11:23:27	ga_ls8c_ard_3-1-0_111067_2020-01-20_final
2020-04-02 09:43:30	ga_ls8c_ard_3-1-0_094081_2020-04-02_final
2020-04-04 11:11:12	ga_ls8c_ard_3-1-0_108084_2020-04-04_final
2020-04-15 10:46:37	ga_ls8c_ard_3-1-0_105069_2020-04-15_final
2020-04-25 09:43:56	ga_ls8c_ard_3-1-0_095067_2020-04-25_final
2020-07-22 10:37:21	ga_ls8c_ard_3-1-0_103076_2020-07-22_final
2020-08-24 09:38:19	ga_ls8c_ard_3-1-0_094067_2020-08-24_final
2020-12-16 09:31:24	ga_ls8c_ard_3-1-0_092080_2020-12-16_final
2021-02-02 11:06:28	ga_ls8c_ard_3-2-0_108071_2021-02-02_final
2021-05-01 11:57:20	ga_ls8c_ard_3-2-0_116076_2021-05-01_final
2021-05-10 10:09:51	ga_ls8c_ard_3-2-0_099070_2021-05-10_final
2021-09-08 10:07:36	ga_ls8c_ard_3-2-0_098078_2021-09-08_final
2021-09-25 09:11:38	ga_ls8c_ard_3-2-0_089077_2021-09-24_final
2021-11-03 10:59:12	ga_ls8c_ard_3-2-0_106083_2021-11-03_final
2021-12-10 09:35:12	ga_ls8c_ard_3-2-1_093074_2021-12-10_final
2022-01-06 09:21:20	ga_ls8c_ard_3-2-1_090086_2022-01-05_final
2022-01-12 10:17:08	ga_ls8c_ard_3-2-1_100071_2022-01-12_final
2022-02-06 11:53:20	ga_ls8c_ard_3-2-1_115080_2022-02-06_final
2022-06-04 09:36:52	ga_ls8c_ard_3-2-1_093079_2022-06-04_final
2022-06-11 09:40:21	ga_ls8c_ard_3-2-1_094072_2022-06-11_final
2022-06-13 09:28:25	ga_ls8c_ard_3-2-1_092073_2022-06-12_final
2022-06-20 11:13:56	ga_ls8c_ard_3-2-1_109074_2022-06-20_final
2022-12-26 09:07:08	ga_ls8c_ard_3-2-1_088081_2022-12-25_final
2023-05-02 09:56:38	ga_ls8c_ard_3-2-1_097068_2023-05-02_final
2023-05-23 11:57:05	ga_ls8c_ard_3-2-1_116076_2023-05-23_final
2023-06-25 09:27:59	ga_ls8c_ard_3-2-1_091089_2023-06-24_final
2023-07-28 11:45:14	ga_ls8c_ard_3-2-1_114076_2023-07-28_final
2023-12-27 10:58:10	ga_ls8c_ard_3-2-1_106081_2023-12-27_final
2024-03-18 10:45:49	ga_ls8c_ard_3-2-1_104082_2024-03-18_final
2024-04-16 10:10:39	ga_ls8c_ard_3-2-1_099072_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