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

83 results

Time (local)	Label
2013-11-05 10:11:29	ga_ls8c_ard_3-0-0_098084_2013-11-05_final
2014-06-02 09:10:56	ga_ls8c_ard_3-0-0_089077_2014-06-01_final
2014-06-17 10:07:03	ga_ls8c_ard_3-0-0_098078_2014-06-17_final
2014-07-03 10:09:07	ga_ls8c_ard_3-0-0_098083_2014-07-03_final
2014-07-11 10:52:15	ga_ls8c_ard_3-0-0_106067_2014-07-11_final
2014-07-20 09:11:35	ga_ls8c_ard_3-0-0_089078_2014-07-19_final
2015-02-08 10:33:09	ga_ls8c_ard_3-0-0_102081_2015-02-08_final
2015-04-08 10:12:30	ga_ls8c_ard_3-0-0_099077_2015-04-08_final
2015-04-25 10:52:07	ga_ls8c_ard_3-0-0_106068_2015-04-25_final
2015-06-05 09:10:30	ga_ls8c_ard_3-0-0_089077_2015-06-04_final
2015-12-10 11:14:14	ga_ls8c_ard_3-0-0_109075_2015-12-10_final
2016-05-07 11:31:51	ga_ls8c_ard_3-0-0_112074_2016-05-07_final
2016-05-09 09:42:59	ga_ls8c_ard_3-0-0_094080_2016-05-09_final
2016-05-11 09:28:12	ga_ls8c_ard_3-0-0_092074_2016-05-10_final
2016-07-19 09:44:23	ga_ls8c_ard_3-0-0_095067_2016-07-19_final
2016-12-15 10:02:49	ga_ls8c_ard_3-2-1_098066_2016-12-15_final
2017-01-23 11:52:31	ga_ls8c_ard_3-0-0_115078_2017-01-23_final
2017-02-23 11:07:50	ga_ls8c_ard_3-0-0_108075_2017-02-23_final
2017-02-25 09:20:58	ga_ls8c_ard_3-0-0_090086_2017-02-24_final
2017-03-06 09:13:08	ga_ls8c_ard_3-0-0_089082_2017-03-05_final
2017-05-17 09:56:37	ga_ls8c_ard_3-0-0_097068_2017-05-17_final
2017-05-29 10:27:03	ga_ls8c_ard_3-0-0_101082_2017-05-29_final
2017-05-30 09:28:15	ga_ls8c_ard_3-0-0_092074_2017-05-29_final
2017-09-20 10:13:16	ga_ls8c_ard_3-0-0_099077_2017-09-20_final
2017-10-25 10:40:44	ga_ls8c_ard_3-0-0_104068_2017-10-25_final
2017-12-10 09:17:38	ga_ls8c_ard_3-0-0_090077_2017-12-09_final
2018-01-17 10:17:20	ga_ls8c_ard_3-0-0_100072_2018-01-17_final
2018-03-19 09:45:57	ga_ls8c_ard_3-0-0_095072_2018-03-19_final
2018-05-08 09:32:44	ga_ls8c_ard_3-0-0_093071_2018-05-08_final
2018-06-25 09:33:26	ga_ls8c_ard_3-0-0_093073_2018-06-25_final
2018-06-27 09:27:29	ga_ls8c_ard_3-0-0_091089_2018-06-26_final
2018-07-17 10:38:37	ga_ls8c_ard_3-0-0_103081_2018-07-17_final
2018-12-27 09:34:31	ga_ls8c_ard_3-0-0_092089_2018-12-27_final
2019-01-18 10:27:54	ga_ls8c_ard_3-0-0_102068_2019-01-18_final
2019-02-14 10:12:52	ga_ls8c_ard_3-0-0_099077_2019-02-14_final
2019-03-14 10:39:02	ga_ls8c_ard_3-1-0_103081_2019-03-14_final
2019-06-23 10:55:27	ga_ls8c_ard_3-1-0_106075_2019-06-23_final
2019-08-07 10:25:34	ga_ls8c_ard_3-1-0_101077_2019-08-07_final
2019-09-10 10:10:34	ga_ls8c_ard_3-1-0_099070_2019-09-10_final
2019-10-01 10:33:37	ga_ls8c_ard_3-1-0_102081_2019-10-01_final
2019-11-28 09:32:10	ga_ls8c_ard_3-1-0_092082_2019-11-28_final
2020-01-27 11:29:35	ga_ls8c_ard_3-1-0_112067_2020-01-27_final
2020-01-31 09:34:20	ga_ls8c_ard_3-1-0_092088_2020-01-31_final
2020-02-01 10:10:49	ga_ls8c_ard_3-1-0_099071_2020-02-01_final
2020-02-07 11:11:47	ga_ls8c_ard_3-1-0_109069_2020-02-07_final
2020-02-23 11:14:07	ga_ls8c_ard_3-1-0_109075_2020-02-23_final
2020-05-01 10:48:28	ga_ls8c_ard_3-1-0_105074_2020-05-01_final
2020-05-15 09:21:30	ga_ls8c_ard_3-1-0_091073_2020-05-14_final
2020-05-17 09:10:44	ga_ls8c_ard_3-1-0_089077_2020-05-16_final
2020-06-18 10:49:28	ga_ls8c_ard_3-1-0_105076_2020-06-18_final
2020-08-25 10:27:34	ga_ls8c_ard_3-1-0_101082_2020-08-25_final
2020-10-18 11:24:26	ga_ls8c_ard_3-1-0_111069_2020-10-18_final
2020-10-26 10:39:46	ga_ls8c_ard_3-1-0_103081_2020-10-26_final
2020-12-05 11:24:51	ga_ls8c_ard_3-1-0_111070_2020-12-05_final
2020-12-15 10:25:50	ga_ls8c_ard_3-1-0_101077_2020-12-15_final
2021-02-19 10:09:11	ga_ls8c_ard_3-2-0_099067_2021-02-19_final
2021-04-08 10:12:51	ga_ls8c_ard_3-2-0_099077_2021-04-08_final
2021-04-09 09:17:14	ga_ls8c_ard_3-2-0_090077_2021-04-08_final
2021-04-20 10:39:05	ga_ls8c_ard_3-2-0_103081_2021-04-20_final
2021-06-12 10:55:48	ga_ls8c_ard_3-2-0_106076_2021-06-12_final
2021-06-29 10:03:50	ga_ls8c_ard_3-2-0_097085_2021-06-29_final
2021-07-07 09:10:25	ga_ls8c_ard_3-2-0_089075_2021-07-06_final
2021-10-10 10:10:08	ga_ls8c_ard_3-2-0_098084_2021-10-10_final
2022-02-18 10:39:29	ga_ls8c_ard_3-2-1_103081_2022-02-18_final
2022-02-22 10:09:57	ga_ls8c_ard_3-2-1_099069_2022-02-22_final
2022-03-03 10:09:45	ga_ls8c_ard_3-2-1_098084_2022-03-03_final
2022-03-07 11:18:18	ga_ls8c_ard_3-2-1_110070_2022-03-07_final
2022-03-20 10:48:53	ga_ls8c_ard_3-2-1_105074_2022-03-20_final
2022-05-06 11:47:16	ga_ls8c_ard_3-2-1_114081_2022-05-06_final
2022-05-26 09:40:09	ga_ls8c_ard_3-2-1_094072_2022-05-26_final
2022-06-04 09:37:16	ga_ls8c_ard_3-2-1_093080_2022-06-04_final
2022-08-21 11:24:38	ga_ls8c_ard_3-2-1_111069_2022-08-21_final
2023-03-04 10:19:44	ga_ls8c_ard_3-2-1_100078_2023-03-04_final
2023-03-10 11:19:29	ga_ls8c_ard_3-2-1_110073_2023-03-10_final
2023-04-09 11:31:04	ga_ls8c_ard_3-2-1_112072_2023-04-09_final
2023-05-22 11:13:49	ga_ls8c_ard_3-2-1_109076_2023-05-22_final
2023-07-16 11:17:37	ga_ls8c_ard_3-2-1_110069_2023-07-16_final
2023-08-05 09:21:45	ga_ls8c_ard_3-2-1_090088_2023-08-04_final
2023-12-07 09:40:18	ga_ls8c_ard_3-2-1_094072_2023-12-07_final
2024-01-18 10:19:25	ga_ls8c_ard_3-2-1_100077_2024-01-18_final
2024-02-04 09:22:58	ga_ls8c_ard_3-2-1_091075_2024-02-03_final
2024-02-13 09:16:47	ga_ls8c_ard_3-2-1_090075_2024-02-12_final
2024-04-14 10:27:25	ga_ls8c_ard_3-2-1_101083_2024-04-14_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years