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
2013-08-08 10:13:08	ga_ls8c_ard_3-1-0_099072_2013-08-08_final
2013-08-20 10:37:52	ga_ls8c_ard_3-0-0_103072_2013-08-20_final
2013-08-28 11:26:08	ga_ls8c_ard_3-0-0_111069_2013-08-28_final
2013-09-02 10:06:11	ga_ls8c_ard_3-0-0_098070_2013-09-02_final
2014-03-08 11:26:15	ga_ls8c_ard_3-0-0_111073_2014-03-08_final
2014-05-27 11:24:02	ga_ls8c_ard_3-0-0_111070_2014-05-27_final
2014-07-05 11:29:17	ga_ls8c_ard_3-0-0_112067_2014-07-05_final
2014-11-03 11:25:29	ga_ls8c_ard_3-0-0_111072_2014-11-03_final
2014-11-15 10:10:33	ga_ls8c_ard_3-0-0_099070_2014-11-15_final
2015-03-23 10:09:28	ga_ls8c_ard_3-0-0_099069_2015-03-23_final
2015-04-23 11:10:53	ga_ls8c_ard_3-0-0_108084_2015-04-23_final
2015-07-06 10:08:47	ga_ls8c_ard_3-0-0_098083_2015-07-06_final
2015-07-22 11:47:00	ga_ls8c_ard_3-0-0_114081_2015-07-22_final
2015-09-01 09:56:59	ga_ls8c_ard_3-0-0_097068_2015-09-01_final
2016-03-17 11:03:34	ga_ls8c_ard_3-0-0_107080_2016-03-17_final
2016-06-13 11:52:06	ga_ls8c_ard_3-0-0_115078_2016-06-13_final
2016-08-18 09:57:15	ga_ls8c_ard_3-0-0_097068_2016-08-18_final
2016-09-01 10:16:30	ga_ls8c_ard_3-0-0_099085_2016-09-01_final
2016-09-09 11:05:34	ga_ls8c_ard_3-0-0_107084_2016-09-09_final
2016-10-14 09:52:30	ga_ls8c_ard_3-0-0_096071_2016-10-14_final
2016-10-17 10:25:49	ga_ls8c_ard_3-0-0_101077_2016-10-17_final
2017-05-04 10:29:21	ga_ls8c_ard_3-0-0_102073_2017-05-04_final
2017-05-25 10:48:33	ga_ls8c_ard_3-0-0_105074_2017-05-25_final
2017-08-08 10:31:16	ga_ls8c_ard_3-0-0_102076_2017-08-08_final
2017-12-07 10:27:37	ga_ls8c_ard_3-0-0_101082_2017-12-07_final
2018-01-09 11:09:38	ga_ls8c_ard_3-0-0_108079_2018-01-09_final
2018-01-12 11:38:31	ga_ls8c_ard_3-0-0_113074_2018-01-12_final
2018-03-03 11:22:59	ga_ls8c_ard_3-0-0_111067_2018-03-03_final
2018-03-29 10:24:57	ga_ls8c_ard_3-0-0_101077_2018-03-29_final
2018-04-11 09:56:44	ga_ls8c_ard_3-0-0_096084_2018-04-11_final
2018-05-22 09:50:07	ga_ls8c_ard_3-0-0_095084_2018-05-22_final
2018-08-01 09:56:40	ga_ls8c_ard_3-0-0_096084_2018-08-01_final
2018-08-10 11:23:52	ga_ls8c_ard_3-0-0_111070_2018-08-10_final
2018-10-17 11:04:48	ga_ls8c_ard_3-0-0_107083_2018-10-17_final
2018-10-29 11:26:47	ga_ls8c_ard_3-0-0_111076_2018-10-29_final
2018-12-02 11:14:26	ga_ls8c_ard_3-0-0_109076_2018-12-02_final
2018-12-21 10:07:13	ga_ls8c_ard_3-0-0_098078_2018-12-21_final
2018-12-24 10:39:19	ga_ls8c_ard_3-0-0_103081_2018-12-24_final
2019-01-10 11:18:10	ga_ls8c_ard_3-0-0_110070_2019-01-10_final
2019-02-26 10:33:57	ga_ls8c_ard_3-0-0_103068_2019-02-26_final
2019-03-11 10:03:22	ga_ls8c_ard_3-1-0_098069_2019-03-11_final
2019-04-03 10:08:40	ga_ls8c_ard_3-1-0_099067_2019-04-03_final
2019-05-05 11:51:52	ga_ls8c_ard_3-0-0_115078_2019-05-05_final
2019-06-24 09:57:26	ga_ls8c_ard_3-1-0_097069_2019-06-24_final
2019-09-23 11:17:26	ga_ls8c_ard_3-1-0_110067_2019-09-23_final
2019-10-24 10:40:14	ga_ls8c_ard_3-1-0_103082_2019-10-24_final
2019-11-15 11:38:00	ga_ls8c_ard_3-1-0_113072_2019-11-15_final
2019-12-25 10:50:03	ga_ls8c_ard_3-1-0_105076_2019-12-25_final
2020-03-04 10:08:40	ga_ls8c_ard_3-2-1_099066_2020-03-04_final
2020-05-03 10:35:17	ga_ls8c_ard_3-1-0_103072_2020-05-03_final
2020-06-09 10:53:10	ga_ls8c_ard_3-1-0_106070_2020-06-09_final
2020-07-07 11:18:32	ga_ls8c_ard_3-1-0_110071_2020-07-07_final
2020-08-14 09:07:08	ga_ls8c_ard_3-1-0_088082_2020-08-13_final
2020-09-09 11:21:19	ga_ls8c_ard_3-1-0_110077_2020-09-09_final
2020-10-18 09:47:56	ga_ls8c_ard_3-1-0_095075_2020-10-18_final
2020-11-19 09:51:06	ga_ls8c_ard_3-1-0_095083_2020-11-19_final
2020-12-07 11:18:04	ga_ls8c_ard_3-1-0_109084_2020-12-07_final
2020-12-12 09:58:31	ga_ls8c_ard_3-1-0_096086_2020-12-12_final
2020-12-16 09:28:12	ga_ls8c_ard_3-1-0_092072_2020-12-15_final
2021-01-12 10:50:00	ga_ls8c_ard_3-2-0_105076_2021-01-12_final
2021-02-20 10:54:02	ga_ls8c_ard_3-2-0_106071_2021-02-20_final
2021-03-04 11:17:52	ga_ls8c_ard_3-2-0_110069_2021-03-04_final
2021-06-15 09:45:50	ga_ls8c_ard_3-2-0_095071_2021-06-15_final
2021-07-05 11:01:16	ga_ls8c_ard_3-2-0_107074_2021-07-05_final
2021-08-11 11:20:26	ga_ls8c_ard_3-2-0_110075_2021-08-11_final
2021-08-22 09:25:27	ga_ls8c_ard_3-2-0_091081_2021-08-21_final
2021-08-30 10:09:45	ga_ls8c_ard_3-2-0_099068_2021-08-30_final
2021-09-21 09:39:32	ga_ls8c_ard_3-2-0_093085_2021-09-21_final
2021-09-25 09:12:26	ga_ls8c_ard_3-2-0_089079_2021-09-24_final
2021-10-01 10:09:53	ga_ls8c_ard_3-2-0_099068_2021-10-01_final
2021-11-19 10:53:31	ga_ls8c_ard_3-2-0_106069_2021-11-19_final
2022-01-31 10:48:21	ga_ls8c_ard_3-2-1_105072_2022-01-31_final
2022-02-06 10:11:15	ga_ls8c_ard_3-2-1_099072_2022-02-06_final
2022-03-07 11:19:54	ga_ls8c_ard_3-2-1_110074_2022-03-07_final
2022-03-11 10:52:46	ga_ls8c_ard_3-2-1_106068_2022-03-11_final
2022-04-10 09:34:27	ga_ls8c_ard_3-2-1_092089_2022-04-10_final
2022-04-12 09:16:55	ga_ls8c_ard_3-2-1_090076_2022-04-11_final
2022-05-02 10:27:52	ga_ls8c_ard_3-2-1_102068_2022-05-02_final
2022-06-08 10:46:18	ga_ls8c_ard_3-2-1_105067_2022-06-08_final
2022-06-23 10:07:58	ga_ls8c_ard_3-2-1_098079_2022-06-23_final
2022-09-06 11:25:27	ga_ls8c_ard_3-2-1_111071_2022-09-06_final
2022-09-19 09:22:32	ga_ls8c_ard_3-2-1_090088_2022-09-18_final
2022-10-27 10:17:32	ga_ls8c_ard_3-2-1_100071_2022-10-27_final
2022-11-18 11:18:25	ga_ls8c_ard_3-2-1_110069_2022-11-18_final
2022-11-20 09:34:22	ga_ls8c_ard_3-2-1_092087_2022-11-20_final
2022-11-29 09:27:26	ga_ls8c_ard_3-2-1_091085_2022-11-28_final
2023-01-09 10:53:11	ga_ls8c_ard_3-2-1_106068_2023-01-09_final
2023-01-20 10:36:09	ga_ls8c_ard_3-2-1_103072_2023-01-20_final
2023-03-01 11:23:45	ga_ls8c_ard_3-2-1_111068_2023-03-01_final
2023-04-10 10:33:50	ga_ls8c_ard_3-2-1_103068_2023-04-10_final
2023-04-12 10:27:02	ga_ls8c_ard_3-2-1_101082_2023-04-12_final
2023-04-24 09:15:37	ga_ls8c_ard_3-2-1_089089_2023-04-23_final
2023-06-25 11:04:52	ga_ls8c_ard_3-2-1_107084_2023-06-25_final
2023-09-02 11:22:41	ga_ls8c_ard_3-2-1_110081_2023-09-02_final
2023-09-09 09:51:35	ga_ls8c_ard_3-2-1_095085_2023-09-09_final
2023-09-18 11:17:59	ga_ls8c_ard_3-2-1_110069_2023-09-18_final
2023-11-16 09:23:05	ga_ls8c_ard_3-2-1_091075_2023-11-15_final
2024-01-18 10:17:01	ga_ls8c_ard_3-2-1_100071_2024-01-18_final
2024-03-23 09:27:23	ga_ls8c_ard_3-2-1_091087_2024-03-22_final
2024-03-25 10:47:52	ga_ls8c_ard_3-2-1_105072_2024-03-25_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years