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

97 results

Time (local)	Label
2013-07-17 10:51:23	ga_ls8c_ard_3-0-0_105075_2013-07-17_final
2013-07-23 10:15:29	ga_ls8c_ard_3-0-0_099078_2013-07-23_final
2013-08-04 10:41:27	ga_ls8c_ard_3-0-0_103081_2013-08-04_final
2013-10-11 10:17:48	ga_ls8c_ard_3-0-0_099084_2013-10-11_final
2014-02-03 10:46:15	ga_ls8c_ard_3-0-0_104080_2014-02-03_final
2014-05-09 11:35:16	ga_ls8c_ard_3-0-0_113067_2014-05-09_final
2014-09-03 10:21:48	ga_ls8c_ard_3-0-0_100083_2014-09-03_final
2014-11-25 10:49:35	ga_ls8c_ard_3-0-0_105075_2014-11-25_final
2014-11-28 11:17:18	ga_ls8c_ard_3-0-0_110067_2014-11-28_final
2014-12-18 09:21:13	ga_ls8c_ard_3-0-0_090086_2014-12-17_final
2014-12-18 09:21:37	ga_ls8c_ard_3-0-0_090087_2014-12-17_final
2016-02-03 11:17:09	ga_ls8c_ard_3-0-0_110067_2016-02-03_final
2016-02-29 10:18:48	ga_ls8c_ard_3-0-0_100076_2016-02-29_final
2016-04-29 10:42:24	ga_ls8c_ard_3-0-0_104074_2016-04-29_final
2016-06-18 10:32:58	ga_ls8c_ard_3-0-0_102081_2016-06-18_final
2016-06-20 10:19:02	ga_ls8c_ard_3-0-0_100077_2016-06-20_final
2016-07-07 11:03:39	ga_ls8c_ard_3-0-0_107080_2016-07-07_final
2016-07-23 11:03:21	ga_ls8c_ard_3-0-0_107079_2016-07-23_final
2017-01-11 11:25:28	ga_ls8c_ard_3-0-0_111072_2017-01-11_final
2017-01-24 10:54:29	ga_ls8c_ard_3-0-0_106072_2017-01-24_final
2017-03-12 10:10:29	ga_ls8c_ard_3-0-0_099071_2017-03-12_final
2017-04-15 09:58:13	ga_ls8c_ard_3-0-0_097072_2017-04-15_final
2017-07-07 10:33:27	ga_ls8c_ard_3-0-0_102082_2017-07-07_final
2017-07-29 11:32:12	ga_ls8c_ard_3-0-0_112074_2017-07-29_final
2017-08-14 11:30:19	ga_ls8c_ard_3-0-0_112069_2017-08-14_final
2017-08-18 09:33:55	ga_ls8c_ard_3-0-0_092087_2017-08-18_final
2017-09-20 10:14:28	ga_ls8c_ard_3-0-0_099080_2017-09-20_final
2017-11-24 09:22:05	ga_ls8c_ard_3-0-0_090088_2017-11-23_final
2018-02-08 11:18:09	ga_ls8c_ard_3-0-0_110070_2018-02-08_final
2018-02-21 10:47:10	ga_ls8c_ard_3-0-0_105070_2018-02-21_final
2018-02-28 10:52:30	ga_ls8c_ard_3-0-0_106068_2018-02-28_final
2018-03-10 11:29:05	ga_ls8c_ard_3-0-0_112067_2018-03-10_final
2018-03-23 09:22:24	ga_ls8c_ard_3-0-0_091075_2018-03-22_final
2018-04-27 11:29:05	ga_ls8c_ard_3-0-0_112068_2018-04-27_final
2018-07-05 10:09:49	ga_ls8c_ard_3-0-0_099071_2018-07-05_final
2018-09-17 10:48:38	ga_ls8c_ard_3-0-0_105074_2018-09-17_final
2018-10-15 11:13:34	ga_ls8c_ard_3-0-0_109074_2018-10-15_final
2018-11-05 09:57:42	ga_ls8c_ard_3-0-0_096085_2018-11-05_final
2018-11-25 09:25:48	ga_ls8c_ard_3-0-0_092067_2018-11-24_final
2019-01-23 09:11:31	ga_ls8c_ard_3-0-0_089078_2019-01-22_final
2019-02-24 10:49:30	ga_ls8c_ard_3-0-0_105076_2019-02-24_final
2019-03-15 09:39:25	ga_ls8c_ard_3-1-0_094071_2019-03-15_final
2019-05-09 11:23:36	ga_ls8c_ard_3-0-0_111069_2019-05-09_final
2019-05-23 09:56:49	ga_ls8c_ard_3-0-0_097068_2019-05-23_final
2019-07-18 10:49:45	ga_ls8c_ard_3-1-0_105076_2019-07-18_final
2019-08-26 09:17:17	ga_ls8c_ard_3-1-0_090076_2019-08-25_final
2019-09-27 10:55:55	ga_ls8c_ard_3-1-0_106075_2019-09-27_final
2019-10-13 10:55:58	ga_ls8c_ard_3-1-0_106075_2019-10-13_final
2019-11-07 09:16:29	ga_ls8c_ard_3-1-0_089089_2019-11-06_final
2020-03-02 10:23:02	ga_ls8c_ard_3-1-0_101071_2020-03-02_final
2020-03-05 10:52:43	ga_ls8c_ard_3-1-0_106068_2020-03-05_final
2020-04-09 11:24:56	ga_ls8c_ard_3-1-0_111072_2020-04-09_final
2020-04-16 11:30:16	ga_ls8c_ard_3-1-0_112070_2020-04-16_final
2020-05-24 10:52:14	ga_ls8c_ard_3-1-0_106068_2020-05-24_final
2020-06-02 10:48:31	ga_ls8c_ard_3-1-0_105074_2020-06-02_final
2020-06-14 09:33:41	ga_ls8c_ard_3-1-0_093072_2020-06-14_final
2020-09-12 10:08:57	ga_ls8c_ard_3-2-1_099066_2020-09-12_final
2020-11-29 10:25:49	ga_ls8c_ard_3-1-0_101077_2020-11-29_final
2020-12-01 10:10:17	ga_ls8c_ard_3-1-0_099069_2020-12-01_final
2020-12-12 11:32:37	ga_ls8c_ard_3-1-0_112074_2020-12-12_final
2021-01-27 10:03:05	ga_ls8c_ard_3-2-0_098067_2021-01-27_final
2021-02-19 11:51:16	ga_ls8c_ard_3-2-0_115075_2021-02-19_final
2021-02-24 10:33:17	ga_ls8c_ard_3-2-0_102081_2021-02-24_final
2021-04-01 10:09:30	ga_ls8c_ard_3-2-0_098084_2021-04-01_final
2021-05-13 10:45:35	ga_ls8c_ard_3-2-0_104082_2021-05-13_final
2021-06-24 11:20:11	ga_ls8c_ard_3-2-0_110075_2021-06-24_final
2021-07-27 10:27:29	ga_ls8c_ard_3-2-0_101082_2021-07-27_final
2021-08-26 10:39:38	ga_ls8c_ard_3-2-0_103081_2021-08-26_final
2021-10-13 10:34:40	ga_ls8c_ard_3-2-0_103068_2021-10-13_final
2021-11-01 09:26:18	ga_ls8c_ard_3-2-0_092067_2021-10-31_final
2021-11-26 09:20:26	ga_ls8c_ard_3-2-0_091068_2021-11-25_final
2022-03-03 10:09:45	ga_ls8c_ard_3-2-1_098084_2022-03-03_final
2022-03-31 10:27:48	ga_ls8c_ard_3-2-1_102068_2022-03-31_final
2022-05-12 11:07:51	ga_ls8c_ard_3-2-1_108075_2022-05-12_final
2022-05-21 09:22:25	ga_ls8c_ard_3-2-1_091074_2022-05-20_final
2022-05-23 09:11:39	ga_ls8c_ard_3-2-1_089078_2022-05-22_final
2022-05-26 09:40:09	ga_ls8c_ard_3-2-1_094072_2022-05-26_final
2022-06-18 11:24:41	ga_ls8c_ard_3-2-1_111070_2022-06-18_final
2022-07-15 09:34:52	ga_ls8c_ard_3-2-1_092089_2022-07-15_final
2022-07-24 11:05:18	ga_ls8c_ard_3-2-1_107083_2022-07-24_final
2022-07-30 10:23:29	ga_ls8c_ard_3-2-1_101071_2022-07-30_final
2022-11-21 10:09:16	ga_ls8c_ard_3-2-1_099066_2022-11-21_final
2023-02-06 09:40:36	ga_ls8c_ard_3-2-1_094072_2023-02-06_final
2023-02-26 10:52:51	ga_ls8c_ard_3-2-1_106068_2023-02-26_final
2023-04-20 09:33:57	ga_ls8c_ard_3-2-1_093073_2023-04-20_final
2023-04-26 10:39:21	ga_ls8c_ard_3-2-1_103082_2023-04-26_final
2023-05-08 09:26:39	ga_ls8c_ard_3-2-1_091086_2023-05-07_final
2023-05-16 10:09:59	ga_ls8c_ard_3-2-1_099071_2023-05-16_final
2023-05-28 10:38:45	ga_ls8c_ard_3-2-1_103081_2023-05-28_final
2023-05-29 09:39:08	ga_ls8c_ard_3-2-1_094071_2023-05-29_final
2023-06-25 09:27:11	ga_ls8c_ard_3-2-1_091087_2023-06-24_final
2023-09-11 11:14:09	ga_ls8c_ard_3-2-1_109075_2023-09-11_final
2023-11-09 10:52:31	ga_ls8c_ard_3-2-1_106067_2023-11-09_final
2023-11-27 10:40:40	ga_ls8c_ard_3-2-1_104068_2023-11-27_final
2023-12-27 10:52:59	ga_ls8c_ard_3-2-1_106068_2023-12-27_final
2024-01-10 11:08:03	ga_ls8c_ard_3-2-1_108075_2024-01-10_final
2024-02-09 09:39:56	ga_ls8c_ard_3-2-1_094071_2024-02-09_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