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
2013-05-06 11:44:16	ga_ls8c_ard_3-0-0_113084_2013-05-06_final
2013-10-31 11:25:49	ga_ls8c_ard_3-0-0_111069_2013-10-31_final
2013-11-20 11:06:35	ga_ls8c_ard_3-0-0_107083_2013-11-20_final
2014-12-21 11:24:37	ga_ls8c_ard_3-0-0_111070_2014-12-21_final
2015-01-10 11:04:12	ga_ls8c_ard_3-0-0_107081_2015-01-10_final
2015-05-10 11:52:16	ga_ls8c_ard_3-0-0_115080_2015-05-10_final
2015-06-27 11:52:33	ga_ls8c_ard_3-0-0_115080_2015-06-27_final
2015-11-18 11:53:20	ga_ls8c_ard_3-0-0_115080_2015-11-18_final
2016-03-09 11:53:04	ga_ls8c_ard_3-0-0_115080_2016-03-09_final
2016-03-18 11:41:38	ga_ls8c_ard_3-0-0_114067_2016-03-18_final
2016-06-17 11:29:23	ga_ls8c_ard_3-0-0_111083_2016-06-17_final
2016-07-15 11:53:09	ga_ls8c_ard_3-0-0_115080_2016-07-15_final
2016-10-10 11:58:05	ga_ls8c_ard_3-0-0_116076_2016-10-10_final
2016-12-10 11:24:23	ga_ls8c_ard_3-0-0_111069_2016-12-10_final
2017-02-28 11:24:21	ga_ls8c_ard_3-0-0_111070_2017-02-28_final
2017-04-17 11:23:56	ga_ls8c_ard_3-0-0_111070_2017-04-17_final
2017-04-29 11:52:30	ga_ls8c_ard_3-0-0_115080_2017-04-29_final
2017-10-08 11:37:55	ga_ls8c_ard_3-0-0_113072_2017-10-08_final
2017-12-13 08:10:52	ga_ls8c_ard_3-2-1_079080_2017-12-12_final
2018-02-10 11:05:23	ga_ls8c_ard_3-0-0_108069_2018-02-10_final
2018-03-15 11:52:46	ga_ls8c_ard_3-0-0_115080_2018-03-15_final
2018-03-17 11:37:12	ga_ls8c_ard_3-0-0_113072_2018-03-17_final
2018-04-04 11:23:55	ga_ls8c_ard_3-0-0_111070_2018-04-04_final
2018-06-23 11:24:40	ga_ls8c_ard_3-0-0_111073_2018-06-23_final
2018-11-01 11:57:18	ga_ls8c_ard_3-0-0_116075_2018-11-01_final
2018-11-01 11:57:42	ga_ls8c_ard_3-0-0_116076_2018-11-01_final
2018-12-16 11:24:22	ga_ls8c_ard_3-0-0_111070_2018-12-16_final
2019-01-29 11:52:59	ga_ls8c_ard_3-0-0_115080_2019-01-29_final
2019-06-10 11:24:41	ga_ls8c_ard_3-0-0_111071_2019-06-10_final
2019-10-23 11:30:16	ga_ls8c_ard_3-1-0_112068_2019-10-23_final
2020-02-17 11:53:14	ga_ls8c_ard_3-1-0_115080_2020-02-17_final
2020-02-21 11:24:30	ga_ls8c_ard_3-1-0_111070_2020-02-21_final
2020-04-18 11:17:29	ga_ls8c_ard_3-1-0_110069_2020-04-18_final
2020-05-30 11:56:52	ga_ls8c_ard_3-1-0_116075_2020-05-30_final
2020-08-31 11:24:14	ga_ls8c_ard_3-1-0_111069_2020-08-31_final
2020-11-12 11:24:10	ga_ls8c_ard_3-1-0_110084_2020-11-12_final
2020-12-08 10:19:39	ga_ls8c_ard_3-1-0_100077_2020-12-08_final
2020-12-14 09:40:34	ga_ls8c_ard_3-1-0_094072_2020-12-14_final
2021-02-03 10:10:27	ga_ls8c_ard_3-2-0_099070_2021-02-03_final
2021-02-03 10:13:39	ga_ls8c_ard_3-2-0_099078_2021-02-03_final
2021-02-19 11:53:15	ga_ls8c_ard_3-2-0_115080_2021-02-19_final
2021-03-04 11:17:52	ga_ls8c_ard_3-2-0_110069_2021-03-04_final
2021-03-13 09:33:55	ga_ls8c_ard_3-2-0_093072_2021-03-13_final
2021-04-08 11:52:56	ga_ls8c_ard_3-2-0_115080_2021-04-08_final
2021-06-11 11:53:01	ga_ls8c_ard_3-2-0_115080_2021-06-11_final
2021-06-15 11:23:56	ga_ls8c_ard_3-2-0_111069_2021-06-15_final
2021-06-19 09:24:44	ga_ls8c_ard_3-2-0_091080_2021-06-18_final
2021-07-28 09:33:28	ga_ls8c_ard_3-2-0_092086_2021-07-28_final
2021-08-11 09:39:57	ga_ls8c_ard_3-2-0_094071_2021-08-11_final
2021-08-11 11:18:02	ga_ls8c_ard_3-2-0_110069_2021-08-11_final
2021-08-13 09:34:47	ga_ls8c_ard_3-2-0_092089_2021-08-13_final
2021-09-23 09:28:46	ga_ls8c_ard_3-2-0_091089_2021-09-22_final
2021-10-21 09:46:02	ga_ls8c_ard_3-2-0_095070_2021-10-21_final
2021-11-06 09:52:24	ga_ls8c_ard_3-2-0_095086_2021-11-06_final
2021-11-10 09:22:28	ga_ls8c_ard_3-2-0_091073_2021-11-09_final
2021-11-24 09:32:48	ga_ls8c_ard_3-2-0_093068_2021-11-24_final
2021-12-14 09:10:52	ga_ls8c_ard_3-2-1_089075_2021-12-13_final
2021-12-22 11:37:58	ga_ls8c_ard_3-2-1_113072_2021-12-22_final
2022-01-03 10:23:20	ga_ls8c_ard_3-2-1_101071_2022-01-03_final
2022-01-05 10:13:22	ga_ls8c_ard_3-2-1_099077_2022-01-05_final
2022-01-05 11:53:27	ga_ls8c_ard_3-2-1_115080_2022-01-05_final
2022-01-14 10:03:11	ga_ls8c_ard_3-2-1_098067_2022-01-14_final
2022-03-10 11:53:11	ga_ls8c_ard_3-2-1_115080_2022-03-10_final
2022-03-12 09:57:56	ga_ls8c_ard_3-2-1_097070_2022-03-12_final
2022-05-04 11:57:13	ga_ls8c_ard_3-2-1_116075_2022-05-04_final
2022-05-04 11:57:37	ga_ls8c_ard_3-2-1_116076_2022-05-04_final
2022-05-23 09:12:27	ga_ls8c_ard_3-2-1_089080_2022-05-22_final
2022-06-02 09:46:01	ga_ls8c_ard_3-2-1_095071_2022-06-02_final
2022-06-30 10:12:58	ga_ls8c_ard_3-2-1_099076_2022-06-30_final
2022-08-21 09:46:32	ga_ls8c_ard_3-2-1_095071_2022-08-21_final
2022-10-11 11:58:43	ga_ls8c_ard_3-2-1_116077_2022-10-11_final
2022-10-13 10:03:27	ga_ls8c_ard_3-2-1_098067_2022-10-13_final
2022-11-11 09:34:38	ga_ls8c_ard_3-2-1_093072_2022-11-11_final
2022-12-07 11:53:45	ga_ls8c_ard_3-2-1_115080_2022-12-07_final
2022-12-23 11:53:35	ga_ls8c_ard_3-2-1_115080_2022-12-23_final
2022-12-24 09:17:05	ga_ls8c_ard_3-2-1_090075_2022-12-23_final
2023-02-02 10:09:43	ga_ls8c_ard_3-2-1_098083_2023-02-02_final
2023-02-12 10:42:44	ga_ls8c_ard_3-2-1_104073_2023-02-12_final
2023-02-27 09:57:38	ga_ls8c_ard_3-2-1_097069_2023-02-27_final
2023-04-02 09:45:46	ga_ls8c_ard_3-2-1_095071_2023-04-02_final
2023-04-02 11:28:38	ga_ls8c_ard_3-2-1_111081_2023-04-02_final
2023-04-09 11:31:04	ga_ls8c_ard_3-2-1_112072_2023-04-09_final
2023-04-14 10:08:41	ga_ls8c_ard_3-2-1_099067_2023-04-14_final
2023-05-07 10:18:42	ga_ls8c_ard_3-2-1_100077_2023-05-07_final
2023-05-23 10:18:36	ga_ls8c_ard_3-2-1_100077_2023-05-23_final
2023-05-26 10:49:07	ga_ls8c_ard_3-2-1_105076_2023-05-26_final
2023-06-02 10:54:53	ga_ls8c_ard_3-2-1_106075_2023-06-02_final
2023-08-04 10:08:59	ga_ls8c_ard_3-2-1_099067_2023-08-04_final
2023-08-20 10:09:54	ga_ls8c_ard_3-2-1_099069_2023-08-20_final
2023-09-08 10:42:24	ga_ls8c_ard_3-2-1_104073_2023-09-08_final
2023-10-16 10:03:07	ga_ls8c_ard_3-2-1_098067_2023-10-16_final
2023-10-27 09:46:13	ga_ls8c_ard_3-2-1_095071_2023-10-27_final
2023-11-17 10:03:10	ga_ls8c_ard_3-2-1_098067_2023-11-17_final
2024-01-05 09:14:58	ga_ls8c_ard_3-2-1_089086_2024-01-04_final
2024-01-11 10:13:38	ga_ls8c_ard_3-2-1_099078_2024-01-11_final
2024-01-12 09:23:13	ga_ls8c_ard_3-2-1_090091_2024-01-11_final
2024-01-19 10:59:52	ga_ls8c_ard_3-2-1_107070_2024-01-19_final
2024-02-11 09:34:21	ga_ls8c_ard_3-2-1_092088_2024-02-11_final
2024-03-20 10:29:26	ga_ls8c_ard_3-2-1_102072_2024-03-20_final
2024-03-25 09:15:46	ga_ls8c_ard_3-2-1_089089_2024-03-24_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