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 11:53:13	ga_ls8c_ard_3-0-0_115075_2013-08-08_final
2013-10-04 11:47:43	ga_ls8c_ard_3-0-0_114077_2013-10-04_final
2014-03-31 11:35:41	ga_ls8c_ard_3-0-0_112082_2014-03-31_final
2014-07-07 11:18:32	ga_ls8c_ard_3-0-0_110071_2014-07-07_final
2014-07-14 09:46:16	ga_ls8c_ard_3-0-0_095072_2014-07-14_final
2014-12-30 11:17:09	ga_ls8c_ard_3-0-0_110067_2014-12-30_final
2015-02-22 09:06:57	ga_ls8c_ard_3-0-0_088082_2015-02-21_final
2015-03-26 09:07:03	ga_ls8c_ard_3-0-0_088083_2015-03-25_final
2015-06-30 09:06:31	ga_ls8c_ard_3-0-0_088082_2015-06-29_final
2015-07-03 11:13:32	ga_ls8c_ard_3-0-0_109075_2015-07-03_final
2015-08-02 11:22:55	ga_ls8c_ard_3-0-0_111067_2015-08-02_final
2015-10-05 11:24:31	ga_ls8c_ard_3-0-0_111070_2015-10-05_final
2015-11-06 11:24:36	ga_ls8c_ard_3-0-0_111070_2015-11-06_final
2016-01-24 09:07:13	ga_ls8c_ard_3-0-0_088082_2016-01-23_final
2016-02-01 11:29:32	ga_ls8c_ard_3-0-0_112067_2016-02-01_final
2016-04-07 09:40:39	ga_ls8c_ard_3-0-0_094074_2016-04-07_final
2016-05-21 11:46:13	ga_ls8c_ard_3-0-0_114079_2016-05-21_final
2016-09-14 09:40:27	ga_ls8c_ard_3-0-0_094072_2016-09-14_final
2016-10-14 11:31:47	ga_ls8c_ard_3-0-0_112072_2016-10-14_final
2016-10-16 09:40:57	ga_ls8c_ard_3-0-0_094073_2016-10-16_final
2016-10-30 11:32:37	ga_ls8c_ard_3-0-0_112074_2016-10-30_final
2017-02-08 11:52:23	ga_ls8c_ard_3-0-0_115078_2017-02-08_final
2017-08-07 09:52:00	ga_ls8c_ard_3-0-0_095086_2017-08-07_final
2017-11-26 09:07:18	ga_ls8c_ard_3-0-0_088082_2017-11-25_final
2018-02-22 11:29:14	ga_ls8c_ard_3-0-0_112067_2018-02-22_final
2018-06-05 11:40:49	ga_ls8c_ard_3-0-0_113083_2018-06-05_final
2018-06-25 11:13:07	ga_ls8c_ard_3-1-0_109075_2018-06-25_final
2018-07-18 11:17:30	ga_ls8c_ard_3-0-0_110070_2018-07-18_final
2018-09-11 09:45:37	ga_ls8c_ard_3-0-0_095071_2018-09-11_final
2019-07-05 09:45:44	ga_ls8c_ard_3-1-0_094086_2019-07-05_final
2019-09-07 09:45:38	ga_ls8c_ard_3-1-0_094085_2019-09-07_final
2019-11-10 11:17:29	ga_ls8c_ard_3-1-0_110067_2019-11-10_final
2020-01-17 12:31:27	ga_ls8c_ard_3-2-1_122067_2020-01-17_final
2020-01-20 11:24:15	ga_ls8c_ard_3-1-0_111069_2020-01-20_final
2020-02-03 11:38:31	ga_ls8c_ard_3-1-0_113074_2020-02-03_final
2020-02-07 11:14:59	ga_ls8c_ard_3-1-0_109077_2020-02-07_final
2020-02-12 11:29:55	ga_ls8c_ard_3-1-0_112068_2020-02-12_final
2020-08-24 11:18:24	ga_ls8c_ard_3-1-0_110070_2020-08-24_final
2020-10-02 11:24:48	ga_ls8c_ard_3-1-0_111070_2020-10-02_final
2020-10-18 11:24:02	ga_ls8c_ard_3-1-0_111068_2020-10-18_final
2020-12-14 09:40:10	ga_ls8c_ard_3-1-0_094071_2020-12-14_final
2021-03-16 10:07:11	ga_ls8c_ard_3-2-0_098078_2021-03-16_final
2021-03-23 10:09:44	ga_ls8c_ard_3-2-0_099069_2021-03-23_final
2021-03-24 09:16:54	ga_ls8c_ard_3-2-0_090076_2021-03-23_final
2021-03-31 09:27:27	ga_ls8c_ard_3-2-0_091087_2021-03-30_final
2021-04-01 10:07:07	ga_ls8c_ard_3-2-0_098078_2021-04-01_final
2021-04-10 11:35:23	ga_ls8c_ard_3-2-0_113067_2021-04-10_final
2021-04-15 10:16:36	ga_ls8c_ard_3-2-0_100071_2021-04-15_final
2021-07-05 09:28:46	ga_ls8c_ard_3-2-0_091090_2021-07-04_final
2021-08-15 10:52:32	ga_ls8c_ard_3-2-0_106067_2021-08-15_final
2021-08-26 10:39:38	ga_ls8c_ard_3-2-0_103081_2021-08-26_final
2021-09-12 09:41:18	ga_ls8c_ard_3-2-0_094074_2021-09-12_final
2021-10-17 10:10:45	ga_ls8c_ard_3-2-0_099070_2021-10-17_final
2021-11-13 11:31:02	ga_ls8c_ard_3-2-0_112070_2021-11-13_final
2021-11-28 09:12:28	ga_ls8c_ard_3-2-0_089079_2021-11-27_final
2021-12-03 09:29:49	ga_ls8c_ard_3-2-0_092076_2021-12-02_final
2021-12-07 10:40:47	ga_ls8c_ard_3-2-1_104068_2021-12-07_final
2022-01-12 10:19:08	ga_ls8c_ard_3-2-1_100076_2022-01-12_final
2022-01-15 10:47:14	ga_ls8c_ard_3-2-1_105069_2022-01-15_final
2022-01-28 10:17:26	ga_ls8c_ard_3-2-1_100072_2022-01-28_final
2022-02-14 09:22:34	ga_ls8c_ard_3-2-1_091074_2022-02-13_final
2022-03-11 09:21:04	ga_ls8c_ard_3-2-1_090086_2022-03-10_final
2022-04-12 10:52:37	ga_ls8c_ard_3-2-1_106068_2022-04-12_final
2022-04-15 09:46:15	ga_ls8c_ard_3-2-1_095072_2022-04-15_final
2022-04-17 11:13:34	ga_ls8c_ard_3-2-1_109074_2022-04-17_final
2022-04-18 10:16:44	ga_ls8c_ard_3-2-1_100071_2022-04-18_final
2022-04-22 09:52:48	ga_ls8c_ard_3-2-1_096073_2022-04-22_final
2022-05-01 11:24:16	ga_ls8c_ard_3-2-1_111070_2022-05-01_final
2022-05-13 11:51:07	ga_ls8c_ard_3-2-1_115075_2022-05-13_final
2022-05-17 09:51:56	ga_ls8c_ard_3-2-1_095086_2022-05-17_final
2022-05-23 09:13:15	ga_ls8c_ard_3-2-1_089082_2022-05-22_final
2022-06-01 09:07:07	ga_ls8c_ard_3-2-1_088082_2022-05-31_final
2022-06-04 11:14:34	ga_ls8c_ard_3-2-1_109076_2022-06-04_final
2022-07-01 09:22:08	ga_ls8c_ard_3-2-1_090088_2022-06-30_final
2022-09-25 10:17:57	ga_ls8c_ard_3-2-1_100072_2022-09-25_final
2022-10-04 10:10:33	ga_ls8c_ard_3-2-1_099069_2022-10-04_final
2022-10-04 10:11:20	ga_ls8c_ard_3-2-1_099071_2022-10-04_final
2022-10-29 10:07:59	ga_ls8c_ard_3-2-1_098078_2022-10-29_final
2023-01-15 10:18:25	ga_ls8c_ard_3-2-1_100074_2023-01-15_final
2023-02-13 11:25:35	ga_ls8c_ard_3-2-1_111072_2023-02-13_final
2023-02-21 10:34:24	ga_ls8c_ard_3-2-1_103068_2023-02-21_final
2023-02-27 10:04:01	ga_ls8c_ard_3-2-1_097085_2023-02-27_final
2023-03-30 10:52:35	ga_ls8c_ard_3-2-1_106068_2023-03-30_final
2023-04-02 09:52:09	ga_ls8c_ard_3-2-1_095087_2023-04-02_final
2023-04-04 09:34:34	ga_ls8c_ard_3-2-1_093074_2023-04-04_final
2023-04-08 09:15:44	ga_ls8c_ard_3-2-1_089089_2023-04-07_final
2023-05-02 09:56:14	ga_ls8c_ard_3-2-1_097067_2023-05-02_final
2023-05-09 10:07:06	ga_ls8c_ard_3-2-1_098079_2023-05-09_final
2023-05-09 11:46:47	ga_ls8c_ard_3-2-1_114081_2023-05-09_final
2023-05-15 09:33:31	ga_ls8c_ard_3-2-1_092088_2023-05-15_final
2023-06-24 11:58:05	ga_ls8c_ard_3-2-1_116078_2023-06-24_final
2023-07-03 10:08:22	ga_ls8c_ard_3-2-1_099066_2023-07-03_final
2023-08-21 10:52:22	ga_ls8c_ard_3-2-1_106067_2023-08-21_final
2023-08-26 09:34:26	ga_ls8c_ard_3-2-1_093073_2023-08-26_final
2023-08-29 10:07:20	ga_ls8c_ard_3-2-1_098078_2023-08-29_final
2023-11-08 10:10:29	ga_ls8c_ard_3-2-1_099070_2023-11-08_final
2023-12-26 10:10:56	ga_ls8c_ard_3-2-1_099071_2023-12-26_final
2024-01-07 10:35:56	ga_ls8c_ard_3-2-1_103072_2024-01-07_final
2024-02-08 10:39:32	ga_ls8c_ard_3-2-1_103081_2024-02-08_final
2024-03-01 09:57:56	ga_ls8c_ard_3-2-1_097070_2024-03-01_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