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
2013-05-21 11:00:24	ga_ls8c_ard_3-0-0_106082_2013-05-21_final
2013-08-04 10:41:27	ga_ls8c_ard_3-0-0_103081_2013-08-04_final
2014-01-05 11:13:05	ga_ls8c_ard_3-0-0_109069_2014-01-05_final
2014-02-26 10:52:54	ga_ls8c_ard_3-0-0_105082_2014-02-26_final
2014-05-20 11:17:49	ga_ls8c_ard_3-0-0_110070_2014-05-20_final
2014-10-18 09:46:38	ga_ls8c_ard_3-0-0_095072_2014-10-18_final
2015-04-15 10:18:41	ga_ls8c_ard_3-0-0_100077_2015-04-15_final
2015-05-18 11:00:24	ga_ls8c_ard_3-0-0_107074_2015-05-18_final
2015-06-18 10:19:00	ga_ls8c_ard_3-0-0_100078_2015-06-18_final
2015-08-19 10:33:24	ga_ls8c_ard_3-0-0_102082_2015-08-19_final
2016-01-12 10:17:23	ga_ls8c_ard_3-0-0_100072_2016-01-12_final
2016-01-31 10:46:40	ga_ls8c_ard_3-0-0_105068_2016-01-31_final
2016-02-17 11:30:35	ga_ls8c_ard_3-0-0_112070_2016-02-17_final
2016-03-22 11:17:41	ga_ls8c_ard_3-0-0_110069_2016-03-22_final
2016-03-31 11:14:11	ga_ls8c_ard_3-0-0_109076_2016-03-31_final
2016-05-04 10:59:47	ga_ls8c_ard_3-0-0_107071_2016-05-04_final
2016-05-09 11:19:52	ga_ls8c_ard_3-0-0_110075_2016-05-09_final
2016-07-03 11:24:21	ga_ls8c_ard_3-0-0_111070_2016-07-03_final
2016-07-23 11:03:45	ga_ls8c_ard_3-0-0_107080_2016-07-23_final
2016-09-14 09:40:27	ga_ls8c_ard_3-0-0_094072_2016-09-14_final
2016-11-13 10:02:53	ga_ls8c_ard_3-2-1_098066_2016-11-13_final
2016-12-03 09:40:33	ga_ls8c_ard_3-0-0_094072_2016-12-03_final
2017-01-17 10:49:33	ga_ls8c_ard_3-0-0_105075_2017-01-17_final
2017-01-24 10:54:29	ga_ls8c_ard_3-0-0_106072_2017-01-24_final
2017-02-05 09:40:38	ga_ls8c_ard_3-0-0_094073_2017-02-05_final
2017-03-29 10:55:35	ga_ls8c_ard_3-0-0_106076_2017-03-29_final
2017-06-01 10:52:00	ga_ls8c_ard_3-0-0_106067_2017-06-01_final
2017-06-04 11:23:43	ga_ls8c_ard_3-0-0_111069_2017-06-04_final
2017-06-26 10:49:34	ga_ls8c_ard_3-0-0_105076_2017-06-26_final
2017-07-29 11:30:13	ga_ls8c_ard_3-0-0_112069_2017-07-29_final
2017-11-21 10:28:05	ga_ls8c_ard_3-0-0_101083_2017-11-21_final
2017-11-24 10:55:22	ga_ls8c_ard_3-0-0_106074_2017-11-24_final
2018-01-14 11:26:09	ga_ls8c_ard_3-0-0_111074_2018-01-14_final
2018-02-13 11:35:28	ga_ls8c_ard_3-0-0_113067_2018-02-13_final
2018-03-10 11:29:05	ga_ls8c_ard_3-0-0_112067_2018-03-10_final
2018-08-24 11:37:57	ga_ls8c_ard_3-0-0_113074_2018-08-24_final
2018-12-05 11:41:44	ga_ls8c_ard_3-0-0_114067_2018-12-05_final
2018-12-16 09:45:28	ga_ls8c_ard_3-0-0_095070_2018-12-16_final
2018-12-19 10:19:34	ga_ls8c_ard_3-0-0_100078_2018-12-19_final
2019-01-09 10:39:18	ga_ls8c_ard_3-0-0_103081_2019-01-09_final
2019-01-14 10:52:38	ga_ls8c_ard_3-0-0_106068_2019-01-14_final
2019-04-08 10:28:22	ga_ls8c_ard_3-1-0_102070_2019-04-08_final
2019-04-25 11:13:07	ga_ls8c_ard_3-0-0_109074_2019-04-25_final
2019-07-05 11:19:49	ga_ls8c_ard_3-1-0_110074_2019-07-05_final
2019-07-18 10:49:45	ga_ls8c_ard_3-1-0_105076_2019-07-18_final
2019-08-28 09:07:19	ga_ls8c_ard_3-1-0_088082_2019-08-27_final
2019-10-15 09:07:31	ga_ls8c_ard_3-1-0_088082_2019-10-14_final
2020-01-19 09:07:17	ga_ls8c_ard_3-1-0_088082_2020-01-18_final
2020-01-28 10:34:22	ga_ls8c_ard_3-1-0_103068_2020-01-28_final
2020-02-11 10:47:27	ga_ls8c_ard_3-1-0_105070_2020-02-11_final
2020-04-28 10:18:00	ga_ls8c_ard_3-1-0_100075_2020-04-28_final
2020-06-29 10:33:25	ga_ls8c_ard_3-1-0_102082_2020-06-29_final
2020-07-17 11:58:28	ga_ls8c_ard_3-1-0_116078_2020-07-17_final
2020-08-12 10:55:34	ga_ls8c_ard_3-1-0_106075_2020-08-12_final
2020-09-09 11:20:07	ga_ls8c_ard_3-1-0_110074_2020-09-09_final
2020-09-25 11:20:12	ga_ls8c_ard_3-1-0_110074_2020-09-25_final
2020-09-26 10:28:10	ga_ls8c_ard_3-1-0_101083_2020-09-26_final
2021-03-27 11:23:29	ga_ls8c_ard_3-2-0_111068_2021-03-27_final
2021-04-07 11:07:41	ga_ls8c_ard_3-2-0_108075_2021-04-07_final
2021-04-21 11:16:45	ga_ls8c_ard_3-2-0_110067_2021-04-21_final
2021-05-05 11:35:21	ga_ls8c_ard_3-2-0_112083_2021-05-05_final
2021-05-07 11:22:11	ga_ls8c_ard_3-2-0_110081_2021-05-07_final
2021-05-09 11:07:27	ga_ls8c_ard_3-2-0_108075_2021-05-09_final
2021-06-08 11:17:42	ga_ls8c_ard_3-2-0_110069_2021-06-08_final
2021-06-11 11:52:13	ga_ls8c_ard_3-2-0_115078_2021-06-11_final
2021-09-15 10:10:37	ga_ls8c_ard_3-2-0_099070_2021-09-15_final
2021-09-28 09:40:10	ga_ls8c_ard_3-2-0_094071_2021-09-28_final
2021-10-09 11:05:21	ga_ls8c_ard_3-2-0_107083_2021-10-09_final
2021-10-11 09:14:31	ga_ls8c_ard_3-2-0_089084_2021-10-10_final
2021-11-02 10:13:56	ga_ls8c_ard_3-2-0_099078_2021-11-02_final
2021-11-02 10:15:32	ga_ls8c_ard_3-2-0_099082_2021-11-02_final
2021-11-10 09:23:16	ga_ls8c_ard_3-2-0_091075_2021-11-09_final
2021-11-25 10:17:39	ga_ls8c_ard_3-2-0_100072_2021-11-25_final
2021-11-28 09:12:28	ga_ls8c_ard_3-2-0_089079_2021-11-27_final
2022-01-11 11:14:21	ga_ls8c_ard_3-2-1_109075_2022-01-11_final
2022-01-20 11:08:08	ga_ls8c_ard_3-2-1_108075_2022-01-20_final
2022-05-07 10:48:52	ga_ls8c_ard_3-2-1_105074_2022-05-07_final
2022-05-21 09:25:13	ga_ls8c_ard_3-2-1_091081_2022-05-20_final
2022-05-28 09:34:10	ga_ls8c_ard_3-2-1_092088_2022-05-28_final
2022-06-06 09:22:57	ga_ls8c_ard_3-2-1_091075_2022-06-05_final
2022-06-29 09:34:29	ga_ls8c_ard_3-2-1_092088_2022-06-29_final
2022-08-19 09:58:06	ga_ls8c_ard_3-2-1_097069_2022-08-19_final
2022-09-28 09:11:10	ga_ls8c_ard_3-2-1_089075_2022-09-27_final
2022-11-09 11:25:06	ga_ls8c_ard_3-2-1_111070_2022-11-09_final
2022-11-22 10:53:20	ga_ls8c_ard_3-2-1_106068_2022-11-22_final
2023-01-15 10:18:25	ga_ls8c_ard_3-2-1_100074_2023-01-15_final
2023-03-31 11:40:14	ga_ls8c_ard_3-2-1_113079_2023-03-31_final
2023-06-26 10:08:52	ga_ls8c_ard_3-2-1_098083_2023-06-26_final
2023-07-05 11:37:18	ga_ls8c_ard_3-2-1_113072_2023-07-05_final
2023-07-20 10:52:29	ga_ls8c_ard_3-2-1_106068_2023-07-20_final
2023-08-21 10:58:45	ga_ls8c_ard_3-2-1_106083_2023-08-21_final
2023-09-23 09:58:02	ga_ls8c_ard_3-2-1_097070_2023-09-23_final
2023-10-27 11:24:18	ga_ls8c_ard_3-2-1_111069_2023-10-27_final
2023-11-08 10:11:17	ga_ls8c_ard_3-2-1_099072_2023-11-08_final
2023-12-15 10:33:27	ga_ls8c_ard_3-2-1_102081_2023-12-15_final
2023-12-19 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-12-19_final
2024-02-03 10:17:23	ga_ls8c_ard_3-2-1_100072_2024-02-03_final
2024-02-05 10:05:02	ga_ls8c_ard_3-2-1_098072_2024-02-05_final
2024-02-28 10:13:07	ga_ls8c_ard_3-2-1_099077_2024-02-28_final
2024-03-05 09:33:57	ga_ls8c_ard_3-2-1_093072_2024-03-05_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