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

First 100 results (query limit)

Time (local)	Label
2013-03-23 10:59:53	ga_ls8c_ard_3-0-0_106080_2013-03-23_final
2014-01-16 10:53:56	ga_ls8c_ard_3-0-0_106068_2014-01-16_final
2014-05-04 09:39:54	ga_ls8c_ard_3-0-0_094072_2014-05-04_final
2014-05-20 09:39:44	ga_ls8c_ard_3-0-0_094072_2014-05-20_final
2014-06-05 11:16:45	ga_ls8c_ard_3-0-0_110067_2014-06-05_final
2014-07-23 09:40:06	ga_ls8c_ard_3-0-0_094072_2014-07-23_final
2014-09-07 11:35:36	ga_ls8c_ard_3-0-0_112082_2014-09-07_final
2014-12-05 11:24:39	ga_ls8c_ard_3-0-0_111070_2014-12-05_final
2014-12-09 11:01:53	ga_ls8c_ard_3-0-0_107075_2014-12-09_final
2015-05-23 09:39:17	ga_ls8c_ard_3-0-0_094072_2015-05-23_final
2015-06-24 11:19:38	ga_ls8c_ard_3-0-0_110075_2015-06-24_final
2015-07-17 11:23:39	ga_ls8c_ard_3-0-0_111069_2015-07-17_final
2015-10-28 11:31:34	ga_ls8c_ard_3-0-0_112072_2015-10-28_final
2015-11-06 11:24:36	ga_ls8c_ard_3-0-0_111070_2015-11-06_final
2016-01-06 10:52:52	ga_ls8c_ard_3-0-0_106068_2016-01-06_final
2016-06-17 09:50:54	ga_ls8c_ard_3-0-0_095084_2016-06-17_final
2016-06-19 11:13:51	ga_ls8c_ard_3-0-0_109075_2016-06-19_final
2016-06-19 11:17:02	ga_ls8c_ard_3-0-0_109083_2016-06-19_final
2016-08-10 10:49:26	ga_ls8c_ard_3-0-0_105075_2016-08-10_final
2016-08-11 11:35:53	ga_ls8c_ard_3-0-0_112083_2016-08-11_final
2016-10-18 11:08:17	ga_ls8c_ard_3-0-0_108075_2016-10-18_final
2016-11-08 11:24:25	ga_ls8c_ard_3-0-0_111069_2016-11-08_final
2016-12-17 11:31:44	ga_ls8c_ard_3-0-0_112072_2016-12-17_final
2017-02-12 09:45:33	ga_ls8c_ard_3-0-0_095070_2017-02-12_final
2017-03-13 10:52:56	ga_ls8c_ard_3-0-0_106069_2017-03-13_final
2017-03-15 10:45:44	ga_ls8c_ard_3-0-0_104082_2017-03-15_final
2017-07-24 11:13:38	ga_ls8c_ard_3-0-0_109074_2017-07-24_final
2017-07-31 11:17:52	ga_ls8c_ard_3-0-0_110069_2017-07-31_final
2017-08-09 11:14:08	ga_ls8c_ard_3-0-0_109075_2017-08-09_final
2017-11-06 11:08:14	ga_ls8c_ard_3-0-0_108075_2017-11-06_final
2017-11-20 11:18:08	ga_ls8c_ard_3-0-0_110069_2017-11-20_final
2017-12-03 10:46:45	ga_ls8c_ard_3-0-0_105068_2017-12-03_final
2017-12-20 11:31:40	ga_ls8c_ard_3-0-0_112072_2017-12-20_final
2017-12-29 11:23:28	ga_ls8c_ard_3-0-0_111067_2017-12-29_final
2017-12-29 11:26:15	ga_ls8c_ard_3-0-0_111074_2017-12-29_final
2018-05-22 11:23:01	ga_ls8c_ard_3-0-0_111069_2018-05-22_final
2018-09-20 11:23:32	ga_ls8c_ard_3-0-0_110084_2018-09-20_final
2018-12-25 09:40:54	ga_ls8c_ard_3-0-0_094074_2018-12-25_final
2019-02-09 11:31:13	ga_ls8c_ard_3-0-0_112072_2019-02-09_final
2019-02-18 11:24:37	ga_ls8c_ard_3-0-0_111071_2019-02-18_final
2019-03-04 11:35:19	ga_ls8c_ard_3-0-0_113067_2019-03-04_final
2019-04-21 11:37:04	ga_ls8c_ard_3-0-0_113072_2019-04-21_final
2019-05-10 10:32:22	ga_ls8c_ard_3-0-0_102080_2019-05-10_final
2019-05-17 10:34:38	ga_ls8c_ard_3-0-0_103070_2019-05-17_final
2019-09-09 11:08:11	ga_ls8c_ard_3-1-0_108075_2019-09-09_final
2019-10-29 10:55:59	ga_ls8c_ard_3-1-0_106075_2019-10-29_final
2019-11-07 10:49:47	ga_ls8c_ard_3-1-0_105075_2019-11-07_final
2019-12-11 10:36:09	ga_ls8c_ard_3-1-0_103072_2019-12-11_final
2020-02-11 10:46:39	ga_ls8c_ard_3-1-0_105068_2020-02-11_final
2020-02-16 11:07:58	ga_ls8c_ard_3-1-0_108075_2020-02-16_final
2020-02-22 10:28:04	ga_ls8c_ard_3-1-0_102068_2020-02-22_final
2020-03-01 11:19:52	ga_ls8c_ard_3-1-0_110074_2020-03-01_final
2020-03-03 11:07:53	ga_ls8c_ard_3-1-0_108075_2020-03-03_final
2020-04-03 10:27:09	ga_ls8c_ard_3-1-0_101082_2020-04-03_final
2020-05-04 11:19:44	ga_ls8c_ard_3-1-0_110075_2020-05-04_final
2021-01-01 09:30:08	ga_ls8c_ard_3-2-0_092077_2021-01-01_final
2021-01-02 10:13:48	ga_ls8c_ard_3-2-0_099078_2021-01-02_final
2021-02-04 09:17:13	ga_ls8c_ard_3-2-0_090076_2021-02-03_final
2021-02-27 09:23:17	ga_ls8c_ard_3-2-0_091076_2021-02-26_final
2021-04-18 10:49:04	ga_ls8c_ard_3-2-0_105075_2021-04-18_final
2021-05-25 11:07:38	ga_ls8c_ard_3-2-0_108075_2021-05-25_final
2021-06-03 09:27:50	ga_ls8c_ard_3-2-0_091088_2021-06-02_final
2021-06-13 11:35:29	ga_ls8c_ard_3-2-0_113067_2021-06-13_final
2021-08-23 10:09:55	ga_ls8c_ard_3-2-0_098084_2021-08-23_final
2021-08-29 11:08:09	ga_ls8c_ard_3-2-0_108075_2021-08-29_final
2021-10-02 10:55:57	ga_ls8c_ard_3-2-0_106075_2021-10-02_final
2021-11-06 11:30:05	ga_ls8c_ard_3-2-0_111083_2021-11-06_final
2021-11-17 09:26:12	ga_ls8c_ard_3-2-0_092067_2021-11-16_final
2021-12-14 10:49:21	ga_ls8c_ard_3-2-1_105074_2021-12-14_final
2022-01-06 10:53:02	ga_ls8c_ard_3-2-1_106068_2022-01-06_final
2022-01-10 10:33:30	ga_ls8c_ard_3-2-1_102081_2022-01-10_final
2022-02-05 09:33:59	ga_ls8c_ard_3-2-1_092087_2022-02-05_final
2022-02-10 09:50:54	ga_ls8c_ard_3-2-1_095083_2022-02-10_final
2022-04-05 10:49:34	ga_ls8c_ard_3-2-1_105076_2022-04-05_final
2022-04-10 09:28:28	ga_ls8c_ard_3-2-1_092074_2022-04-09_final
2022-05-28 09:31:23	ga_ls8c_ard_3-2-1_092081_2022-05-28_final
2022-07-01 09:16:57	ga_ls8c_ard_3-2-1_090075_2022-06-30_final
2022-07-04 11:24:20	ga_ls8c_ard_3-2-1_111069_2022-07-04_final
2022-07-17 10:53:02	ga_ls8c_ard_3-2-1_106068_2022-07-17_final
2022-08-19 11:38:11	ga_ls8c_ard_3-2-1_113072_2022-08-19_final
2022-09-26 11:02:25	ga_ls8c_ard_3-2-1_107075_2022-09-26_final
2022-12-02 09:57:56	ga_ls8c_ard_3-2-1_096084_2022-12-02_final
2022-12-06 11:08:06	ga_ls8c_ard_3-2-1_108074_2022-12-06_final
2022-12-28 10:29:40	ga_ls8c_ard_3-2-1_102071_2022-12-28_final
2023-01-30 09:34:49	ga_ls8c_ard_3-2-1_093073_2023-01-30_final
2023-03-13 10:10:18	ga_ls8c_ard_3-2-1_099070_2023-03-13_final
2023-03-29 10:10:32	ga_ls8c_ard_3-2-1_099071_2023-03-29_final
2023-05-04 09:45:51	ga_ls8c_ard_3-2-1_095072_2023-05-04_final
2023-05-06 09:38:39	ga_ls8c_ard_3-2-1_093085_2023-05-06_final
2023-05-17 10:54:50	ga_ls8c_ard_3-2-1_106075_2023-05-17_final
2023-05-29 11:23:12	ga_ls8c_ard_3-2-1_110084_2023-05-29_final
2023-07-16 11:20:25	ga_ls8c_ard_3-2-1_110076_2023-07-16_final
2023-07-28 10:09:56	ga_ls8c_ard_3-2-1_098085_2023-07-28_final
2023-09-06 10:55:33	ga_ls8c_ard_3-2-1_106075_2023-09-06_final
2023-11-16 09:22:41	ga_ls8c_ard_3-2-1_091074_2023-11-15_final
2023-12-27 10:58:10	ga_ls8c_ard_3-2-1_106081_2023-12-27_final
2024-01-10 09:29:34	ga_ls8c_ard_3-2-1_092076_2024-01-09_final
2024-01-27 10:08:44	ga_ls8c_ard_3-2-1_099066_2024-01-27_final
2024-02-13 09:17:35	ga_ls8c_ard_3-2-1_090077_2024-02-12_final
2024-03-12 09:45:39	ga_ls8c_ard_3-2-1_094086_2024-03-12_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