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

94 results

Time (local)	Label
2013-07-16 11:48:36	ga_ls8c_ard_3-0-0_114079_2013-07-16_final
2014-01-16 10:53:56	ga_ls8c_ard_3-0-0_106068_2014-01-16_final
2014-06-12 09:50:29	ga_ls8c_ard_3-0-0_095083_2014-06-12_final
2014-09-25 09:40:18	ga_ls8c_ard_3-0-0_094072_2014-09-25_final
2014-12-11 09:12:12	ga_ls8c_ard_3-0-0_089079_2014-12-10_final
2014-12-21 09:44:32	ga_ls8c_ard_3-0-0_095067_2014-12-21_final
2015-06-11 10:09:11	ga_ls8c_ard_3-0-0_099069_2015-06-11_final
2015-06-26 09:33:10	ga_ls8c_ard_3-0-0_092087_2015-06-26_final
2015-09-03 09:44:13	ga_ls8c_ard_3-0-0_095067_2015-09-03_final
2015-12-06 09:57:18	ga_ls8c_ard_3-0-0_097068_2015-12-06_final
2016-01-21 10:14:00	ga_ls8c_ard_3-0-0_099079_2016-01-21_final
2016-01-29 10:59:50	ga_ls8c_ard_3-0-0_107070_2016-01-29_final
2016-03-10 09:17:22	ga_ls8c_ard_3-0-0_090077_2016-03-09_final
2016-06-12 09:33:33	ga_ls8c_ard_3-0-0_092087_2016-06-12_final
2016-07-17 10:00:19	ga_ls8c_ard_3-0-0_097076_2016-07-17_final
2016-09-02 09:21:17	ga_ls8c_ard_3-0-0_090086_2016-09-01_final
2016-11-08 09:44:44	ga_ls8c_ard_3-0-0_095067_2016-11-08_final
2016-12-22 10:16:09	ga_ls8c_ard_3-0-0_099084_2016-12-22_final
2016-12-26 09:44:39	ga_ls8c_ard_3-0-0_095067_2016-12-26_final
2017-01-12 10:30:14	ga_ls8c_ard_3-0-0_102073_2017-01-12_final
2017-01-17 10:49:09	ga_ls8c_ard_3-0-0_105074_2017-01-17_final
2017-02-20 10:35:46	ga_ls8c_ard_3-0-0_103072_2017-02-20_final
2017-02-23 11:07:50	ga_ls8c_ard_3-0-0_108075_2017-02-23_final
2017-04-19 09:33:51	ga_ls8c_ard_3-0-0_093073_2017-04-19_final
2017-05-05 09:34:08	ga_ls8c_ard_3-0-0_093074_2017-05-05_final
2017-05-15 11:51:50	ga_ls8c_ard_3-0-0_115078_2017-05-15_final
2017-07-22 11:23:59	ga_ls8c_ard_3-0-0_111069_2017-07-22_final
2017-11-23 10:10:55	ga_ls8c_ard_3-0-0_099071_2017-11-23_final
2018-02-06 09:50:27	ga_ls8c_ard_3-0-0_096067_2018-02-06_final
2018-03-03 11:24:11	ga_ls8c_ard_3-0-0_111070_2018-03-03_final
2018-10-01 09:27:48	ga_ls8c_ard_3-0-0_091088_2018-09-30_final
2018-10-17 11:01:37	ga_ls8c_ard_3-0-0_107075_2018-10-17_final
2018-12-15 09:07:00	ga_ls8c_ard_3-0-0_088082_2018-12-14_final
2019-01-10 11:18:10	ga_ls8c_ard_3-0-0_110070_2019-01-10_final
2019-02-02 11:23:04	ga_ls8c_ard_3-0-0_111067_2019-02-02_final
2019-02-20 11:14:15	ga_ls8c_ard_3-0-0_109076_2019-02-20_final
2019-03-08 09:34:05	ga_ls8c_ard_3-1-0_093073_2019-03-08_final
2019-05-16 11:31:03	ga_ls8c_ard_3-0-0_112072_2019-05-16_final
2019-06-07 10:52:34	ga_ls8c_ard_3-0-0_106068_2019-06-07_final
2019-06-16 10:49:38	ga_ls8c_ard_3-1-0_105076_2019-06-16_final
2019-06-28 09:31:56	ga_ls8c_ard_3-1-0_093067_2019-06-28_final
2019-08-03 10:49:52	ga_ls8c_ard_3-1-0_105076_2019-08-03_final
2019-08-19 09:13:04	ga_ls8c_ard_3-1-0_089081_2019-08-18_final
2019-09-29 09:07:29	ga_ls8c_ard_3-1-0_088082_2019-09-28_final
2019-10-07 09:50:58	ga_ls8c_ard_3-1-0_096067_2019-10-07_final
2019-11-09 10:36:13	ga_ls8c_ard_3-1-0_103072_2019-11-09_final
2019-12-01 09:58:17	ga_ls8c_ard_3-1-0_097070_2019-12-01_final
2019-12-22 10:19:58	ga_ls8c_ard_3-1-0_100078_2019-12-22_final
2020-01-06 09:34:39	ga_ls8c_ard_3-1-0_093073_2020-01-06_final
2020-01-15 09:28:02	ga_ls8c_ard_3-1-0_092072_2020-01-14_final
2020-01-15 09:28:50	ga_ls8c_ard_3-1-0_092074_2020-01-14_final
2020-02-05 09:44:28	ga_ls8c_ard_3-1-0_095067_2020-02-05_final
2020-04-18 09:40:12	ga_ls8c_ard_3-1-0_094073_2020-04-18_final
2020-05-11 11:23:29	ga_ls8c_ard_3-1-0_111069_2020-05-11_final
2020-05-19 10:38:52	ga_ls8c_ard_3-1-0_103081_2020-05-19_final
2020-06-18 10:49:04	ga_ls8c_ard_3-1-0_105075_2020-06-18_final
2020-06-26 09:56:55	ga_ls8c_ard_3-1-0_097068_2020-06-26_final
2020-08-05 10:48:58	ga_ls8c_ard_3-1-0_105074_2020-08-05_final
2020-08-10 11:07:31	ga_ls8c_ard_3-1-0_108074_2020-08-10_final
2020-08-21 09:10:35	ga_ls8c_ard_3-1-0_089075_2020-08-20_final
2020-09-02 11:12:41	ga_ls8c_ard_3-1-0_109071_2020-09-02_final
2020-12-05 09:45:58	ga_ls8c_ard_3-1-0_095070_2020-12-05_final
2020-12-13 10:38:59	ga_ls8c_ard_3-1-0_103079_2020-12-13_final
2021-01-17 09:28:49	ga_ls8c_ard_3-2-0_092074_2021-01-16_final
2021-02-08 10:28:35	ga_ls8c_ard_3-2-0_102069_2021-02-08_final
2021-03-13 11:13:36	ga_ls8c_ard_3-2-0_109074_2021-03-13_final
2021-03-20 11:16:56	ga_ls8c_ard_3-2-0_110067_2021-03-20_final
2021-04-18 09:10:59	ga_ls8c_ard_3-2-0_089077_2021-04-17_final
2021-05-25 09:34:20	ga_ls8c_ard_3-2-0_092089_2021-05-25_final
2021-06-26 09:33:20	ga_ls8c_ard_3-2-0_092086_2021-06-26_final
2021-07-08 11:30:35	ga_ls8c_ard_3-2-0_112070_2021-07-08_final
2021-08-11 11:18:02	ga_ls8c_ard_3-2-0_110069_2021-08-11_final
2021-10-06 10:30:51	ga_ls8c_ard_3-2-0_102074_2021-10-06_final
2021-10-27 10:50:14	ga_ls8c_ard_3-2-0_105076_2021-10-27_final
2021-12-08 09:47:10	ga_ls8c_ard_3-2-1_095073_2021-12-08_final
2021-12-20 10:13:27	ga_ls8c_ard_3-2-1_099077_2021-12-20_final
2021-12-24 11:24:24	ga_ls8c_ard_3-2-1_111069_2021-12-24_final
2022-01-29 09:23:01	ga_ls8c_ard_3-2-1_091075_2022-01-28_final
2022-04-06 09:57:09	ga_ls8c_ard_3-2-1_096084_2022-04-06_final
2022-12-30 10:20:07	ga_ls8c_ard_3-2-1_100078_2022-12-30_final
2023-03-07 09:12:55	ga_ls8c_ard_3-2-1_089081_2023-03-06_final
2023-03-10 11:19:29	ga_ls8c_ard_3-2-1_110073_2023-03-10_final
2023-04-08 09:10:57	ga_ls8c_ard_3-2-1_089077_2023-04-07_final
2023-04-20 11:13:14	ga_ls8c_ard_3-2-1_109074_2023-04-20_final
2023-08-15 11:32:11	ga_ls8c_ard_3-2-1_112074_2023-08-15_final
2023-08-25 10:28:04	ga_ls8c_ard_3-2-1_102068_2023-08-25_final
2023-11-02 10:52:25	ga_ls8c_ard_3-2-1_105082_2023-11-02_final
2023-12-16 11:14:43	ga_ls8c_ard_3-2-1_109076_2023-12-16_final
2023-12-31 10:33:24	ga_ls8c_ard_3-2-1_102081_2023-12-31_final
2024-01-26 09:27:52	ga_ls8c_ard_3-2-1_092072_2024-01-25_final
2024-03-26 11:31:30	ga_ls8c_ard_3-2-1_112073_2024-03-26_final
2024-04-09 10:03:21	ga_ls8c_ard_3-2-1_098069_2024-04-09_final
2024-04-13 09:39:23	ga_ls8c_ard_3-2-1_094071_2024-04-13_final
2024-04-13 09:39:47	ga_ls8c_ard_3-2-1_094072_2024-04-13_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