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
2013-05-20 11:54:25	ga_ls8c_ard_3-0-0_115078_2013-05-20_final
2013-06-25 09:53:55	ga_ls8c_ard_3-0-0_095086_2013-06-25_final
2013-08-22 10:29:31	ga_ls8c_ard_3-0-0_101082_2013-08-22_final
2013-12-23 10:08:48	ga_ls8c_ard_3-0-0_098078_2013-12-23_final
2014-01-24 10:10:52	ga_ls8c_ard_3-0-0_098084_2014-01-24_final
2014-03-07 10:46:35	ga_ls8c_ard_3-0-0_104082_2014-03-07_final
2015-01-02 10:10:21	ga_ls8c_ard_3-0-0_099070_2015-01-02_final
2015-01-31 11:22:39	ga_ls8c_ard_3-0-0_110081_2015-01-31_final
2015-07-12 11:05:28	ga_ls8c_ard_3-0-0_108070_2015-07-12_final
2016-03-25 10:10:04	ga_ls8c_ard_3-0-0_099070_2016-03-25_final
2016-07-23 09:27:40	ga_ls8c_ard_3-0-0_091087_2016-07-22_final
2016-07-23 11:04:57	ga_ls8c_ard_3-0-0_107083_2016-07-23_final
2016-08-26 10:46:45	ga_ls8c_ard_3-0-0_105068_2016-08-26_final
2016-10-10 10:17:36	ga_ls8c_ard_3-0-0_100072_2016-10-10_final
2017-01-13 11:15:05	ga_ls8c_ard_3-0-0_109077_2017-01-13_final
2017-02-13 10:28:01	ga_ls8c_ard_3-0-0_102068_2017-02-13_final
2017-06-11 09:51:28	ga_ls8c_ard_3-0-0_096070_2017-06-11_final
2017-07-12 09:10:19	ga_ls8c_ard_3-0-0_089075_2017-07-11_final
2017-12-03 09:10:40	ga_ls8c_ard_3-0-0_089075_2017-12-02_final
2018-01-26 10:09:29	ga_ls8c_ard_3-0-0_099068_2018-01-26_final
2018-02-11 10:10:33	ga_ls8c_ard_3-0-0_099071_2018-02-11_final
2018-03-12 11:17:30	ga_ls8c_ard_3-0-0_110069_2018-03-12_final
2018-04-01 10:52:14	ga_ls8c_ard_3-0-0_106068_2018-04-01_final
2018-05-15 09:45:14	ga_ls8c_ard_3-0-0_094087_2018-05-15_final
2018-05-25 10:18:35	ga_ls8c_ard_3-0-0_100078_2018-05-25_final
2018-12-25 09:40:54	ga_ls8c_ard_3-0-0_094074_2018-12-25_final
2019-03-03 09:17:10	ga_ls8c_ard_3-0-0_090077_2019-03-02_final
2019-07-17 10:10:05	ga_ls8c_ard_3-1-0_098085_2019-07-17_final
2019-07-27 09:06:45	ga_ls8c_ard_3-1-0_088081_2019-07-26_final
2019-10-22 09:10:55	ga_ls8c_ard_3-1-0_089075_2019-10-21_final
2019-12-16 10:53:29	ga_ls8c_ard_3-2-0_106069_2019-12-16_final
2020-01-20 11:24:39	ga_ls8c_ard_3-1-0_111070_2020-01-20_final
2020-01-24 11:05:29	ga_ls8c_ard_3-1-0_107084_2020-01-24_final
2020-02-27 09:11:18	ga_ls8c_ard_3-1-0_089077_2020-02-26_final
2020-05-07 10:12:31	ga_ls8c_ard_3-1-0_099077_2020-05-07_final
2020-06-01 10:06:50	ga_ls8c_ard_3-1-0_098078_2020-06-01_final
2020-11-12 09:46:29	ga_ls8c_ard_3-1-0_094087_2020-11-12_final
2020-12-10 10:10:05	ga_ls8c_ard_3-1-0_098084_2020-12-10_final
2020-12-17 10:09:04	ga_ls8c_ard_3-2-1_099066_2020-12-17_final
2021-01-22 11:24:14	ga_ls8c_ard_3-2-0_111069_2021-01-22_final
2021-01-31 11:18:26	ga_ls8c_ard_3-2-0_110070_2021-01-31_final
2021-02-03 10:11:15	ga_ls8c_ard_3-2-0_099072_2021-02-03_final
2021-04-28 09:43:59	ga_ls8c_ard_3-2-0_095067_2021-04-28_final
2021-05-14 09:45:35	ga_ls8c_ard_3-2-0_095071_2021-05-14_final
2021-07-22 10:07:19	ga_ls8c_ard_3-2-0_098078_2021-07-22_final
2021-08-09 11:30:23	ga_ls8c_ard_3-2-0_112069_2021-08-09_final
2021-09-19 11:30:22	ga_ls8c_ard_3-2-0_111084_2021-09-19_final
2021-10-15 10:27:54	ga_ls8c_ard_3-2-0_101082_2021-10-15_final
2021-11-06 11:24:54	ga_ls8c_ard_3-2-0_111070_2021-11-06_final
2021-12-04 10:10:17	ga_ls8c_ard_3-2-0_099069_2021-12-04_final
2022-01-20 09:33:39	ga_ls8c_ard_3-2-1_092086_2022-01-20_final
2022-01-21 10:12:07	ga_ls8c_ard_3-2-1_099074_2022-01-21_final
2022-01-22 10:54:10	ga_ls8c_ard_3-2-1_106071_2022-01-22_final
2022-04-17 11:12:22	ga_ls8c_ard_3-2-1_109071_2022-04-17_final
2022-05-14 10:53:07	ga_ls8c_ard_3-2-1_106069_2022-05-14_final
2022-10-22 09:58:09	ga_ls8c_ard_3-2-1_097069_2022-10-22_final
2022-11-25 11:30:38	ga_ls8c_ard_3-2-1_111084_2022-11-25_final
2022-12-06 11:08:30	ga_ls8c_ard_3-2-1_108075_2022-12-06_final
2023-01-06 10:23:30	ga_ls8c_ard_3-2-1_101071_2023-01-06_final
2023-01-15 10:17:37	ga_ls8c_ard_3-2-1_100072_2023-01-15_final
2023-01-17 10:02:50	ga_ls8c_ard_3-2-1_098066_2023-01-17_final
2023-01-23 09:34:36	ga_ls8c_ard_3-2-1_092088_2023-01-23_final
2023-02-21 10:34:48	ga_ls8c_ard_3-2-1_103069_2023-02-21_final
2023-03-13 10:10:18	ga_ls8c_ard_3-2-1_099070_2023-03-13_final
2023-04-18 11:24:01	ga_ls8c_ard_3-2-1_111070_2023-04-18_final
2023-05-26 09:11:25	ga_ls8c_ard_3-2-1_089079_2023-05-25_final
2023-06-11 09:09:57	ga_ls8c_ard_3-2-1_089075_2023-06-10_final
2023-08-02 10:27:19	ga_ls8c_ard_3-2-1_101082_2023-08-02_final
2023-08-13 10:02:26	ga_ls8c_ard_3-2-1_098066_2023-08-13_final
2023-10-23 10:10:06	ga_ls8c_ard_3-2-1_099069_2023-10-23_final
2023-10-27 11:29:05	ga_ls8c_ard_3-2-1_111081_2023-10-27_final
2024-01-26 09:33:51	ga_ls8c_ard_3-2-1_092087_2024-01-26_final
2024-02-28 10:13:07	ga_ls8c_ard_3-2-1_099077_2024-02-28_final
2024-04-17 09:16:36	ga_ls8c_ard_3-2-1_090076_2024-04-16_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