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

86 results

Time (local)	Label
2013-06-06 09:22:44	ga_ls8c_ard_3-0-0_090085_2013-06-05_final
2013-07-14 10:21:17	ga_ls8c_ard_3-0-0_100077_2013-07-14_final
2013-08-28 11:26:32	ga_ls8c_ard_3-0-0_111070_2013-08-28_final
2014-05-02 09:57:29	ga_ls8c_ard_3-0-0_096085_2014-05-02_final
2014-08-24 09:45:53	ga_ls8c_ard_3-0-0_094086_2014-08-24_final
2014-08-26 09:27:56	ga_ls8c_ard_3-0-0_092072_2014-08-25_final
2014-10-29 09:28:02	ga_ls8c_ard_3-0-0_092072_2014-10-28_final
2014-11-24 10:07:31	ga_ls8c_ard_3-0-0_098078_2014-11-24_final
2015-01-08 11:12:35	ga_ls8c_ard_3-0-0_109071_2015-01-08_final
2015-03-16 11:47:01	ga_ls8c_ard_3-0-0_114081_2015-03-16_final
2015-05-02 09:22:06	ga_ls8c_ard_3-0-0_091075_2015-05-01_final
2015-06-24 09:37:33	ga_ls8c_ard_3-0-0_094067_2015-06-24_final
2015-08-15 09:16:48	ga_ls8c_ard_3-0-0_090076_2015-08-14_final
2015-11-26 09:21:50	ga_ls8c_ard_3-0-0_091072_2015-11-25_final
2015-11-28 09:10:16	ga_ls8c_ard_3-0-0_089074_2015-11-27_final
2015-12-01 09:38:23	ga_ls8c_ard_3-0-0_094067_2015-12-01_final
2015-12-21 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-12-20_final
2016-01-31 10:51:03	ga_ls8c_ard_3-0-0_105079_2016-01-31_final
2016-03-01 09:22:22	ga_ls8c_ard_3-0-0_091074_2016-02-29_final
2016-04-02 09:21:20	ga_ls8c_ard_3-0-0_091072_2016-04-01_final
2016-05-06 09:10:07	ga_ls8c_ard_3-0-0_089075_2016-05-05_final
2016-06-05 09:22:33	ga_ls8c_ard_3-0-0_091075_2016-06-04_final
2016-06-10 11:17:36	ga_ls8c_ard_3-0-0_110069_2016-06-10_final
2016-06-14 09:16:48	ga_ls8c_ard_3-0-0_090076_2016-06-13_final
2016-06-29 10:13:21	ga_ls8c_ard_3-0-0_099078_2016-06-29_final
2016-08-14 10:22:44	ga_ls8c_ard_3-0-0_101070_2016-08-14_final
2016-09-19 09:57:00	ga_ls8c_ard_3-0-0_097067_2016-09-19_final
2016-09-25 09:26:18	ga_ls8c_ard_3-0-0_091083_2016-09-24_final
2016-09-28 11:30:54	ga_ls8c_ard_3-0-0_112070_2016-09-28_final
2016-10-16 09:38:34	ga_ls8c_ard_3-0-0_094067_2016-10-16_final
2016-11-06 11:37:59	ga_ls8c_ard_3-0-0_113072_2016-11-06_final
2016-12-26 11:25:07	ga_ls8c_ard_3-0-0_111071_2016-12-26_final
2016-12-30 09:23:07	ga_ls8c_ard_3-0-0_091075_2016-12-29_final
2017-10-05 11:11:23	ga_ls8c_ard_3-0-0_108083_2017-10-05_final
2017-12-13 09:52:33	ga_ls8c_ard_3-0-0_095087_2017-12-13_final
2018-01-27 09:23:01	ga_ls8c_ard_3-0-0_090091_2018-01-26_final
2018-03-21 09:31:59	ga_ls8c_ard_3-0-0_093068_2018-03-21_final
2018-05-15 09:37:15	ga_ls8c_ard_3-0-0_094067_2018-05-15_final
2018-06-18 11:09:16	ga_ls8c_ard_3-0-0_108081_2018-06-18_final
2018-09-01 09:10:04	ga_ls8c_ard_3-0-0_089075_2018-08-31_final
2018-09-11 09:45:37	ga_ls8c_ard_3-0-0_095071_2018-09-11_final
2018-10-15 09:33:29	ga_ls8c_ard_3-0-0_093071_2018-10-15_final
2018-11-11 10:52:20	ga_ls8c_ard_3-0-0_106067_2018-11-11_final
2019-01-03 09:34:19	ga_ls8c_ard_3-0-0_093073_2019-01-03_final
2019-01-26 09:40:01	ga_ls8c_ard_3-0-0_094072_2019-01-26_final
2019-04-18 09:27:18	ga_ls8c_ard_3-1-0_092072_2019-04-17_final
2019-05-04 09:27:18	ga_ls8c_ard_3-0-0_092072_2019-05-03_final
2019-10-09 09:38:36	ga_ls8c_ard_3-1-0_094067_2019-10-09_final
2019-10-16 09:46:24	ga_ls8c_ard_3-1-0_095071_2019-10-16_final
2019-11-03 09:40:01	ga_ls8c_ard_3-1-0_093086_2019-11-03_final
2020-01-17 09:17:16	ga_ls8c_ard_3-1-0_090076_2020-01-16_final
2020-02-03 11:37:43	ga_ls8c_ard_3-1-0_113072_2020-02-03_final
2020-03-04 10:10:40	ga_ls8c_ard_3-1-0_099071_2020-03-04_final
2020-04-13 09:21:42	ga_ls8c_ard_3-1-0_091073_2020-04-12_final
2020-07-27 09:17:02	ga_ls8c_ard_3-1-0_090076_2020-07-26_final
2020-08-03 09:21:38	ga_ls8c_ard_3-1-0_091072_2020-08-02_final
2021-06-17 09:34:17	ga_ls8c_ard_3-2-0_093073_2021-06-17_final
2021-06-26 09:28:32	ga_ls8c_ard_3-2-0_092074_2021-06-25_final
2021-07-01 09:45:30	ga_ls8c_ard_3-2-0_095070_2021-07-01_final
2021-10-01 10:13:52	ga_ls8c_ard_3-2-0_099078_2021-10-01_final
2021-10-17 10:13:57	ga_ls8c_ard_3-2-0_099078_2021-10-17_final
2021-11-26 09:22:26	ga_ls8c_ard_3-2-0_091073_2021-11-25_final
2022-01-13 09:22:43	ga_ls8c_ard_3-2-1_091074_2022-01-12_final
2022-02-10 09:46:07	ga_ls8c_ard_3-2-1_095071_2022-02-10_final
2022-04-11 10:13:20	ga_ls8c_ard_3-2-1_099078_2022-04-11_final
2022-04-28 09:21:15	ga_ls8c_ard_3-2-1_090087_2022-04-27_final
2022-05-15 11:42:22	ga_ls8c_ard_3-2-1_113084_2022-05-15_final
2022-07-25 10:03:18	ga_ls8c_ard_3-2-1_098067_2022-07-25_final
2022-07-29 09:40:37	ga_ls8c_ard_3-2-1_094072_2022-07-29_final
2022-10-12 09:23:24	ga_ls8c_ard_3-2-1_091075_2022-10-11_final
2022-10-24 11:24:42	ga_ls8c_ard_3-2-1_111069_2022-10-24_final
2022-10-28 09:23:31	ga_ls8c_ard_3-2-1_091075_2022-10-27_final
2022-11-15 09:11:52	ga_ls8c_ard_3-2-1_089077_2022-11-14_final
2023-04-14 10:08:17	ga_ls8c_ard_3-2-1_099066_2023-04-14_final
2023-04-30 10:13:00	ga_ls8c_ard_3-2-1_099078_2023-04-30_final
2023-09-25 09:52:05	ga_ls8c_ard_3-2-1_095086_2023-09-25_final
2023-10-13 09:34:13	ga_ls8c_ard_3-2-1_093072_2023-10-13_final
2023-10-15 09:22:15	ga_ls8c_ard_3-2-1_091073_2023-10-14_final
2023-10-23 10:13:42	ga_ls8c_ard_3-2-1_099078_2023-10-23_final
2023-12-02 09:28:39	ga_ls8c_ard_3-2-1_091089_2023-12-01_final
2023-12-05 11:36:23	ga_ls8c_ard_3-2-1_112084_2023-12-05_final
2023-12-26 10:15:43	ga_ls8c_ard_3-2-1_099083_2023-12-26_final
2024-01-27 10:10:19	ga_ls8c_ard_3-2-1_099070_2024-01-27_final
2024-02-20 09:22:09	ga_ls8c_ard_3-2-1_091073_2024-02-19_final
2024-02-25 09:39:52	ga_ls8c_ard_3-2-1_094071_2024-02-25_final
2024-02-25 11:18:21	ga_ls8c_ard_3-2-1_110070_2024-02-25_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