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
2013-10-31 11:26:13	ga_ls8c_ard_3-0-0_111070_2013-10-31_final
2013-11-28 11:54:01	ga_ls8c_ard_3-0-0_115078_2013-11-28_final
2014-01-08 10:11:02	ga_ls8c_ard_3-0-0_098084_2014-01-08_final
2014-01-10 11:32:44	ga_ls8c_ard_3-0-0_112072_2014-01-10_final
2014-01-26 09:51:42	ga_ls8c_ard_3-0-0_096067_2014-01-26_final
2014-01-27 10:40:33	ga_ls8c_ard_3-0-0_103081_2014-01-27_final
2014-06-10 11:41:43	ga_ls8c_ard_3-0-0_113083_2014-06-10_final
2014-07-18 10:59:38	ga_ls8c_ard_3-0-0_107070_2014-07-18_final
2014-07-19 10:09:36	ga_ls8c_ard_3-0-0_098084_2014-07-19_final
2014-11-12 11:18:32	ga_ls8c_ard_3-0-0_110070_2014-11-12_final
2014-11-15 10:13:44	ga_ls8c_ard_3-0-0_099078_2014-11-15_final
2015-01-07 10:33:18	ga_ls8c_ard_3-0-0_102081_2015-01-07_final
2015-04-20 10:38:48	ga_ls8c_ard_3-0-0_103081_2015-04-20_final
2015-04-28 11:23:46	ga_ls8c_ard_3-0-0_111070_2015-04-28_final
2015-05-22 10:33:18	ga_ls8c_ard_3-0-0_103068_2015-05-22_final
2015-06-11 10:09:11	ga_ls8c_ard_3-0-0_099069_2015-06-11_final
2015-09-28 11:17:55	ga_ls8c_ard_3-0-0_110069_2015-09-28_final
2015-10-03 09:57:11	ga_ls8c_ard_3-0-0_097068_2015-10-03_final
2016-02-17 09:50:30	ga_ls8c_ard_3-0-0_096067_2016-02-17_final
2016-04-01 10:19:21	ga_ls8c_ard_3-0-0_100078_2016-04-01_final
2016-04-04 10:48:39	ga_ls8c_ard_3-0-0_105074_2016-04-04_final
2016-05-24 10:39:03	ga_ls8c_ard_3-0-0_103081_2016-05-24_final
2016-06-13 10:10:01	ga_ls8c_ard_3-0-0_099070_2016-06-13_final
2016-07-23 10:59:45	ga_ls8c_ard_3-0-0_107070_2016-07-23_final
2016-08-01 10:52:48	ga_ls8c_ard_3-0-0_106068_2016-08-01_final
2016-09-19 09:57:00	ga_ls8c_ard_3-0-0_097067_2016-09-19_final
2016-12-29 10:19:32	ga_ls8c_ard_3-0-0_100077_2016-12-29_final
2017-01-06 11:07:44	ga_ls8c_ard_3-0-0_108074_2017-01-06_final
2017-01-18 09:51:32	ga_ls8c_ard_3-0-0_096069_2017-01-18_final
2017-11-07 10:13:48	ga_ls8c_ard_3-0-0_099078_2017-11-07_final
2017-12-25 10:13:18	ga_ls8c_ard_3-0-0_099077_2017-12-25_final
2018-01-30 11:25:59	ga_ls8c_ard_3-0-0_111074_2018-01-30_final
2018-03-26 09:50:05	ga_ls8c_ard_3-0-0_096067_2018-03-26_final
2018-04-09 10:09:07	ga_ls8c_ard_3-0-0_098084_2018-04-09_final
2018-04-13 11:17:15	ga_ls8c_ard_3-0-0_110069_2018-04-13_final
2018-04-17 10:54:53	ga_ls8c_ard_3-0-0_106075_2018-04-17_final
2018-04-18 11:40:55	ga_ls8c_ard_3-0-0_113082_2018-04-18_final
2018-06-09 11:10:33	ga_ls8c_ard_3-0-0_109069_2018-06-09_final
2018-07-17 10:38:37	ga_ls8c_ard_3-0-0_103081_2018-07-17_final
2018-08-24 09:56:40	ga_ls8c_ard_3-0-0_097068_2018-08-24_final
2018-08-26 09:45:07	ga_ls8c_ard_3-0-0_095070_2018-08-26_final
2018-08-30 11:03:18	ga_ls8c_ard_3-0-0_107080_2018-08-30_final
2018-09-20 11:16:45	ga_ls8c_ard_3-0-0_110067_2018-09-20_final
2018-10-25 10:10:13	ga_ls8c_ard_3-0-0_099070_2018-10-25_final
2018-10-27 09:57:04	ga_ls8c_ard_3-0-0_097068_2018-10-27_final
2018-11-01 10:22:00	ga_ls8c_ard_3-0-0_100084_2018-11-01_final
2019-03-02 11:52:05	ga_ls8c_ard_3-0-0_115078_2019-03-02_final
2019-03-04 09:57:38	ga_ls8c_ard_3-0-0_097070_2019-03-04_final
2019-03-06 11:23:45	ga_ls8c_ard_3-0-0_111069_2019-03-06_final
2019-03-18 10:08:43	ga_ls8c_ard_3-1-0_099067_2019-03-18_final
2019-03-18 10:10:43	ga_ls8c_ard_3-1-0_099072_2019-03-18_final
2019-05-25 09:46:28	ga_ls8c_ard_3-0-0_095073_2019-05-25_final
2019-06-07 10:52:34	ga_ls8c_ard_3-0-0_106068_2019-06-07_final
2019-07-19 09:58:07	ga_ls8c_ard_3-1-0_096086_2019-07-19_final
2019-08-19 10:49:57	ga_ls8c_ard_3-1-0_105076_2019-08-19_final
2019-10-11 11:08:20	ga_ls8c_ard_3-1-0_108075_2019-10-11_final
2020-02-23 11:14:07	ga_ls8c_ard_3-1-0_109075_2020-02-23_final
2020-03-02 10:24:38	ga_ls8c_ard_3-1-0_101075_2020-03-02_final
2020-03-17 11:17:45	ga_ls8c_ard_3-1-0_110069_2020-03-17_final
2020-04-02 11:18:00	ga_ls8c_ard_3-1-0_110070_2020-04-02_final
2020-04-30 10:02:25	ga_ls8c_ard_3-1-0_098067_2020-04-30_final
2020-09-02 11:16:41	ga_ls8c_ard_3-1-0_109081_2020-09-02_final
2021-01-15 09:40:48	ga_ls8c_ard_3-2-0_094073_2021-01-15_final
2021-02-24 10:33:17	ga_ls8c_ard_3-2-0_102081_2021-02-24_final
2021-04-09 09:21:13	ga_ls8c_ard_3-2-0_090087_2021-04-08_final
2021-04-24 10:08:21	ga_ls8c_ard_3-2-1_099066_2021-04-24_final
2021-05-11 09:20:14	ga_ls8c_ard_3-2-0_090085_2021-05-10_final
2021-06-08 11:20:06	ga_ls8c_ard_3-2-0_110075_2021-06-08_final
2021-07-26 09:40:14	ga_ls8c_ard_3-2-0_094072_2021-07-26_final
2021-09-24 10:07:39	ga_ls8c_ard_3-2-0_098078_2021-09-24_final
2021-10-30 09:40:39	ga_ls8c_ard_3-2-0_094072_2021-10-30_final
2021-11-02 10:13:56	ga_ls8c_ard_3-2-0_099078_2021-11-02_final
2021-11-03 10:56:00	ga_ls8c_ard_3-2-0_106075_2021-11-03_final
2021-11-06 11:26:06	ga_ls8c_ard_3-2-0_111073_2021-11-06_final
2021-12-19 11:07:52	ga_ls8c_ard_3-2-1_108074_2021-12-19_final
2021-12-20 10:14:15	ga_ls8c_ard_3-2-1_099079_2021-12-20_final
2021-12-26 11:14:25	ga_ls8c_ard_3-2-1_109075_2021-12-26_final
2022-01-13 09:28:18	ga_ls8c_ard_3-2-1_091088_2022-01-12_final
2022-01-15 09:11:56	ga_ls8c_ard_3-2-1_089078_2022-01-14_final
2022-01-16 09:52:24	ga_ls8c_ard_3-2-1_096071_2022-01-16_final
2022-02-28 11:11:45	ga_ls8c_ard_3-2-1_109069_2022-02-28_final
2022-07-31 09:28:17	ga_ls8c_ard_3-2-1_092072_2022-07-30_final
2022-09-03 10:56:30	ga_ls8c_ard_3-2-1_106076_2022-09-03_final
2022-09-19 09:17:45	ga_ls8c_ard_3-2-1_090076_2022-09-18_final
2022-12-08 09:17:39	ga_ls8c_ard_3-2-1_090076_2022-12-07_final
2022-12-26 10:40:50	ga_ls8c_ard_3-2-1_104068_2022-12-26_final
2023-01-09 10:53:59	ga_ls8c_ard_3-2-1_106070_2023-01-09_final
2023-02-03 09:10:30	ga_ls8c_ard_3-2-1_089074_2023-02-02_final
2023-03-08 09:58:09	ga_ls8c_ard_3-2-1_096086_2023-03-08_final
2023-04-24 09:11:38	ga_ls8c_ard_3-2-1_089079_2023-04-23_final
2023-07-13 10:49:30	ga_ls8c_ard_3-2-1_105076_2023-07-13_final
2023-07-27 11:04:45	ga_ls8c_ard_3-2-1_107083_2023-07-27_final
2023-09-07 11:38:25	ga_ls8c_ard_3-2-1_113074_2023-09-07_final
2023-09-17 10:35:55	ga_ls8c_ard_3-2-1_103072_2023-09-17_final
2023-09-17 10:39:30	ga_ls8c_ard_3-2-1_103081_2023-09-17_final
2023-09-25 11:24:35	ga_ls8c_ard_3-2-1_111070_2023-09-25_final
2023-11-08 10:10:05	ga_ls8c_ard_3-2-1_099069_2023-11-08_final
2023-11-21 11:18:33	ga_ls8c_ard_3-2-1_110070_2023-11-21_final
2024-01-19 09:22:35	ga_ls8c_ard_3-2-1_091074_2024-01-18_final
2024-02-22 09:10:11	ga_ls8c_ard_3-2-1_089074_2024-02-21_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