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

81 results

Time (local)	Label
2013-12-02 09:48:02	ga_ls8c_ard_3-0-0_095072_2013-12-02_final
2014-02-05 10:34:16	ga_ls8c_ard_3-0-0_102081_2014-02-05_final
2014-03-20 10:10:45	ga_ls8c_ard_3-0-0_099070_2014-03-20_final
2014-05-14 10:19:16	ga_ls8c_ard_3-0-0_100078_2014-05-14_final
2014-06-07 09:33:55	ga_ls8c_ard_3-0-0_092088_2014-06-07_final
2014-06-08 10:12:47	ga_ls8c_ard_3-0-0_099077_2014-06-08_final
2015-02-02 09:28:36	ga_ls8c_ard_3-0-0_092074_2015-02-01_final
2015-04-05 11:17:17	ga_ls8c_ard_3-0-0_110069_2015-04-05_final
2015-05-07 09:37:21	ga_ls8c_ard_3-0-0_094067_2015-05-07_final
2015-05-10 10:12:35	ga_ls8c_ard_3-0-0_099078_2015-05-10_final
2015-05-14 09:51:24	ga_ls8c_ard_3-0-0_095087_2015-05-14_final
2015-06-02 10:18:50	ga_ls8c_ard_3-0-0_100078_2015-06-02_final
2015-07-10 09:37:44	ga_ls8c_ard_3-0-0_094067_2015-07-10_final
2015-11-18 10:13:39	ga_ls8c_ard_3-0-0_099078_2015-11-18_final
2016-01-13 09:22:10	ga_ls8c_ard_3-0-0_091073_2016-01-12_final
2016-01-29 09:21:45	ga_ls8c_ard_3-0-0_091072_2016-01-28_final
2016-02-16 09:10:27	ga_ls8c_ard_3-0-0_089075_2016-02-15_final
2016-04-01 10:18:57	ga_ls8c_ard_3-0-0_100077_2016-04-01_final
2016-04-10 10:12:44	ga_ls8c_ard_3-0-0_099077_2016-04-10_final
2016-08-10 09:10:33	ga_ls8c_ard_3-0-0_089075_2016-08-09_final
2016-10-18 09:29:00	ga_ls8c_ard_3-0-0_092074_2016-10-17_final
2016-11-15 11:31:48	ga_ls8c_ard_3-0-0_112072_2016-11-15_final
2016-12-30 09:21:55	ga_ls8c_ard_3-0-0_091072_2016-12-29_final
2017-01-29 09:34:07	ga_ls8c_ard_3-0-0_093072_2017-01-29_final
2017-03-13 09:16:51	ga_ls8c_ard_3-0-0_090076_2017-03-12_final
2017-03-19 10:19:23	ga_ls8c_ard_3-0-0_100078_2017-03-19_final
2017-09-01 09:38:20	ga_ls8c_ard_3-0-0_094067_2017-09-01_final
2017-09-11 10:19:48	ga_ls8c_ard_3-0-0_100078_2017-09-11_final
2017-12-18 10:02:44	ga_ls8c_ard_3-2-1_098066_2017-12-18_final
2018-01-07 11:18:25	ga_ls8c_ard_3-0-0_110070_2018-01-07_final
2018-01-18 09:23:18	ga_ls8c_ard_3-0-0_091076_2018-01-17_final
2018-07-02 09:37:17	ga_ls8c_ard_3-0-0_094067_2018-07-02_final
2018-07-29 09:20:57	ga_ls8c_ard_3-0-0_091072_2018-07-28_final
2019-02-09 11:30:26	ga_ls8c_ard_3-0-0_112070_2019-02-09_final
2019-05-30 10:07:03	ga_ls8c_ard_3-0-0_098078_2019-05-30_final
2019-11-07 09:10:30	ga_ls8c_ard_3-1-0_089074_2019-11-06_final
2020-01-24 11:00:18	ga_ls8c_ard_3-1-0_107071_2020-01-24_final
2020-02-16 09:27:54	ga_ls8c_ard_3-1-0_092072_2020-02-15_final
2020-04-14 10:06:57	ga_ls8c_ard_3-1-0_098078_2020-04-14_final
2020-05-07 10:12:31	ga_ls8c_ard_3-1-0_099077_2020-05-07_final
2020-05-25 11:35:06	ga_ls8c_ard_3-1-0_113067_2020-05-25_final
2020-07-30 11:24:02	ga_ls8c_ard_3-1-0_111069_2020-07-30_final
2020-11-23 11:02:29	ga_ls8c_ard_3-1-0_107076_2020-11-23_final
2020-12-07 09:39:35	ga_ls8c_ard_3-1-0_093085_2020-12-07_final
2021-01-29 09:50:43	ga_ls8c_ard_3-2-0_096067_2021-01-29_final
2021-01-31 11:18:26	ga_ls8c_ard_3-2-0_110070_2021-01-31_final
2021-02-05 09:56:53	ga_ls8c_ard_3-2-0_097067_2021-02-05_final
2021-02-14 11:30:45	ga_ls8c_ard_3-2-0_112070_2021-02-14_final
2021-05-28 09:56:29	ga_ls8c_ard_3-2-0_097067_2021-05-28_final
2021-09-22 11:58:05	ga_ls8c_ard_3-2-0_116076_2021-09-22_final
2021-12-07 10:46:23	ga_ls8c_ard_3-2-1_104082_2021-12-07_final
2022-01-13 09:22:19	ga_ls8c_ard_3-2-1_091073_2022-01-12_final
2022-01-24 09:07:18	ga_ls8c_ard_3-2-1_088082_2022-01-23_final
2022-01-28 10:19:50	ga_ls8c_ard_3-2-1_100078_2022-01-28_final
2022-02-03 09:40:21	ga_ls8c_ard_3-2-1_094072_2022-02-03_final
2022-03-02 09:22:06	ga_ls8c_ard_3-2-1_091073_2022-03-01_final
2022-05-19 09:37:11	ga_ls8c_ard_3-2-1_093080_2022-05-19_final
2022-06-18 11:24:17	ga_ls8c_ard_3-2-1_111069_2022-06-18_final
2022-07-15 09:28:05	ga_ls8c_ard_3-2-1_092072_2022-07-14_final
2022-07-18 09:57:25	ga_ls8c_ard_3-2-1_097068_2022-07-18_final
2022-08-01 10:13:33	ga_ls8c_ard_3-2-1_099077_2022-08-01_final
2022-08-05 11:24:33	ga_ls8c_ard_3-2-1_111069_2022-08-05_final
2022-08-21 11:25:02	ga_ls8c_ard_3-2-1_111070_2022-08-21_final
2023-01-14 11:12:04	ga_ls8c_ard_3-2-1_109069_2023-01-14_final
2023-02-02 10:02:56	ga_ls8c_ard_3-2-1_098066_2023-02-02_final
2023-02-03 09:10:54	ga_ls8c_ard_3-2-1_089075_2023-02-02_final
2023-02-18 10:03:58	ga_ls8c_ard_3-2-1_098069_2023-02-18_final
2023-03-29 10:09:44	ga_ls8c_ard_3-2-1_099069_2023-03-29_final
2023-03-30 10:58:34	ga_ls8c_ard_3-2-1_106083_2023-03-30_final
2023-05-08 09:28:15	ga_ls8c_ard_3-2-1_091090_2023-05-07_final
2023-07-16 09:39:56	ga_ls8c_ard_3-2-1_094072_2023-07-16_final
2023-08-17 11:17:51	ga_ls8c_ard_3-2-1_110069_2023-08-17_final
2023-08-24 11:24:05	ga_ls8c_ard_3-2-1_111069_2023-08-24_final
2023-10-13 09:40:12	ga_ls8c_ard_3-2-1_093087_2023-10-13_final
2023-10-17 09:10:40	ga_ls8c_ard_3-2-1_089075_2023-10-16_final
2023-11-24 10:10:11	ga_ls8c_ard_3-2-1_099069_2023-11-24_final
2023-11-27 10:46:15	ga_ls8c_ard_3-2-1_104082_2023-11-27_final
2023-12-07 11:19:11	ga_ls8c_ard_3-2-1_110072_2023-12-07_final
2024-02-12 10:13:13	ga_ls8c_ard_3-2-1_099077_2024-02-12_final
2024-02-22 09:12:10	ga_ls8c_ard_3-2-1_089079_2024-02-21_final
2024-04-08 09:21:17	ga_ls8c_ard_3-2-1_091072_2024-04-07_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