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
2013-04-19 10:56:11	ga_ls8c_ard_3-0-0_106072_2013-04-19_final
2013-05-14 10:50:57	ga_ls8c_ard_3-0-0_105074_2013-05-14_final
2013-08-13 10:35:16	ga_ls8c_ard_3-0-0_102081_2013-08-13_final
2013-08-21 09:40:16	ga_ls8c_ard_3-0-0_094067_2013-08-21_final
2014-02-02 11:43:29	ga_ls8c_ard_3-0-0_113084_2014-02-02_final
2014-02-27 11:36:56	ga_ls8c_ard_3-0-0_112084_2014-02-27_final
2014-04-21 11:52:18	ga_ls8c_ard_3-0-0_115078_2014-04-21_final
2014-05-19 10:39:21	ga_ls8c_ard_3-0-0_103082_2014-05-19_final
2014-06-10 11:40:07	ga_ls8c_ard_3-0-0_113079_2014-06-10_final
2014-07-05 11:29:41	ga_ls8c_ard_3-0-0_112068_2014-07-05_final
2014-07-23 09:40:06	ga_ls8c_ard_3-0-0_094072_2014-07-23_final
2014-08-06 11:29:53	ga_ls8c_ard_3-0-0_112068_2014-08-06_final
2014-10-07 11:46:01	ga_ls8c_ard_3-0-0_114077_2014-10-07_final
2015-05-14 09:51:00	ga_ls8c_ard_3-0-0_095086_2015-05-14_final
2015-07-09 10:36:56	ga_ls8c_ard_3-0-0_103076_2015-07-09_final
2015-08-31 10:55:47	ga_ls8c_ard_3-0-0_106076_2015-08-31_final
2016-02-25 09:07:02	ga_ls8c_ard_3-0-0_088082_2016-02-24_final
2016-06-10 09:37:55	ga_ls8c_ard_3-0-0_094067_2016-06-10_final
2016-07-20 10:33:14	ga_ls8c_ard_3-0-0_102081_2016-07-20_final
2016-08-20 11:30:11	ga_ls8c_ard_3-0-0_111084_2016-08-20_final
2016-10-16 09:38:34	ga_ls8c_ard_3-0-0_094067_2016-10-16_final
2016-11-20 10:09:04	ga_ls8c_ard_3-2-1_099066_2016-11-20_final
2017-01-03 10:34:27	ga_ls8c_ard_3-0-0_103068_2017-01-03_final
2017-01-13 11:12:42	ga_ls8c_ard_3-0-0_109071_2017-01-13_final
2017-05-03 09:46:52	ga_ls8c_ard_3-0-0_095075_2017-05-03_final
2017-09-06 11:39:45	ga_ls8c_ard_3-0-0_113077_2017-09-06_final
2017-09-08 11:26:12	ga_ls8c_ard_3-0-0_111074_2017-09-08_final
2018-03-03 09:52:05	ga_ls8c_ard_3-0-0_095087_2018-03-03_final
2018-03-19 09:46:21	ga_ls8c_ard_3-0-0_095073_2018-03-19_final
2018-06-13 10:48:16	ga_ls8c_ard_3-0-0_105075_2018-06-13_final
2018-07-04 11:06:38	ga_ls8c_ard_3-0-0_108074_2018-07-04_final
2018-08-17 11:30:07	ga_ls8c_ard_3-0-0_112070_2018-08-17_final
2018-10-03 10:49:33	ga_ls8c_ard_3-0-0_105076_2018-10-03_final
2018-12-16 09:51:04	ga_ls8c_ard_3-0-0_095084_2018-12-16_final
2019-01-19 11:14:21	ga_ls8c_ard_3-0-0_109076_2019-01-19_final
2019-02-02 11:24:15	ga_ls8c_ard_3-0-0_111070_2019-02-02_final
2019-03-22 11:25:16	ga_ls8c_ard_3-1-0_111073_2019-03-22_final
2019-03-31 09:39:22	ga_ls8c_ard_3-1-0_094071_2019-03-31_final
2019-05-02 09:39:39	ga_ls8c_ard_3-0-0_094072_2019-05-02_final
2019-05-16 11:31:51	ga_ls8c_ard_3-0-0_112074_2019-05-16_final
2019-06-10 11:24:17	ga_ls8c_ard_3-0-0_111070_2019-06-10_final
2019-06-12 11:13:56	ga_ls8c_ard_3-1-0_109075_2019-06-12_final
2019-07-03 11:30:35	ga_ls8c_ard_3-1-0_112070_2019-07-03_final
2019-08-31 11:16:43	ga_ls8c_ard_3-1-0_109081_2019-08-31_final
2019-10-09 11:18:17	ga_ls8c_ard_3-1-0_110069_2019-10-09_final
2019-11-18 10:33:35	ga_ls8c_ard_3-1-0_102081_2019-11-18_final
2020-01-20 09:46:10	ga_ls8c_ard_3-1-0_095071_2020-01-20_final
2020-04-17 10:39:01	ga_ls8c_ard_3-1-0_103081_2020-04-17_final
2020-04-24 09:07:04	ga_ls8c_ard_3-1-0_088083_2020-04-23_final
2020-07-25 11:07:28	ga_ls8c_ard_3-1-0_108074_2020-07-25_final
2020-08-22 11:31:32	ga_ls8c_ard_3-1-0_112072_2020-08-22_final
2020-10-17 10:44:45	ga_ls8c_ard_3-1-0_104078_2020-10-17_final
2020-10-18 09:46:20	ga_ls8c_ard_3-1-0_095071_2020-10-18_final
2020-11-18 10:45:55	ga_ls8c_ard_3-1-0_104081_2020-11-18_final
2020-11-21 11:12:51	ga_ls8c_ard_3-1-0_109071_2020-11-21_final
2020-12-09 11:00:55	ga_ls8c_ard_3-1-0_107072_2020-12-09_final
2020-12-18 09:19:50	ga_ls8c_ard_3-2-0_090082_2020-12-17_final
2021-01-07 10:33:30	ga_ls8c_ard_3-2-0_102081_2021-01-07_final
2021-04-09 10:55:19	ga_ls8c_ard_3-2-0_106075_2021-04-09_final
2021-04-27 09:07:07	ga_ls8c_ard_3-2-0_088083_2021-04-26_final
2021-06-08 09:39:37	ga_ls8c_ard_3-2-0_094071_2021-06-08_final
2021-08-18 09:45:46	ga_ls8c_ard_3-2-0_095070_2021-08-18_final
2021-09-28 11:23:26	ga_ls8c_ard_3-2-0_110082_2021-09-28_final
2021-10-11 09:16:07	ga_ls8c_ard_3-2-0_089088_2021-10-10_final
2021-10-11 10:49:25	ga_ls8c_ard_3-2-0_105074_2021-10-11_final
2021-10-11 10:50:13	ga_ls8c_ard_3-2-0_105076_2021-10-11_final
2021-10-24 11:57:49	ga_ls8c_ard_3-2-0_116075_2021-10-24_final
2021-10-24 11:58:13	ga_ls8c_ard_3-2-0_116076_2021-10-24_final
2021-10-26 10:09:46	ga_ls8c_ard_3-2-0_098083_2021-10-26_final
2021-11-12 09:14:29	ga_ls8c_ard_3-2-0_089084_2021-11-11_final
2021-12-21 09:21:25	ga_ls8c_ard_3-2-1_090086_2021-12-20_final
2021-12-23 10:44:44	ga_ls8c_ard_3-2-1_104078_2021-12-23_final
2022-01-14 11:46:03	ga_ls8c_ard_3-2-1_114077_2022-01-14_final
2022-02-05 09:28:47	ga_ls8c_ard_3-2-1_092074_2022-02-04_final
2022-02-26 11:25:19	ga_ls8c_ard_3-2-1_111072_2022-02-26_final
2022-05-14 10:55:30	ga_ls8c_ard_3-2-1_106075_2022-05-14_final
2022-06-06 09:28:08	ga_ls8c_ard_3-2-1_091088_2022-06-05_final
2022-06-21 10:17:07	ga_ls8c_ard_3-2-1_100071_2022-06-21_final
2022-06-26 10:39:40	ga_ls8c_ard_3-2-1_103081_2022-06-26_final
2022-08-18 10:56:07	ga_ls8c_ard_3-2-1_106075_2022-08-18_final
2022-09-26 11:02:25	ga_ls8c_ard_3-2-1_107075_2022-09-26_final
2022-10-13 10:04:39	ga_ls8c_ard_3-2-1_098070_2022-10-13_final
2022-12-01 10:53:09	ga_ls8c_ard_3-2-1_105083_2022-12-01_final
2022-12-07 10:16:04	ga_ls8c_ard_3-2-1_099083_2022-12-07_final
2022-12-24 09:17:29	ga_ls8c_ard_3-2-1_090076_2022-12-23_final
2023-03-14 10:55:33	ga_ls8c_ard_3-2-1_106075_2023-03-14_final
2023-05-17 09:15:57	ga_ls8c_ard_3-2-1_090075_2023-05-16_final
2023-06-03 11:37:46	ga_ls8c_ard_3-2-1_113074_2023-06-03_final
2023-06-20 09:07:00	ga_ls8c_ard_3-2-1_088083_2023-06-19_final
2023-06-21 11:24:45	ga_ls8c_ard_3-2-1_111072_2023-06-21_final
2023-07-05 11:42:05	ga_ls8c_ard_3-2-1_113084_2023-07-05_final
2023-07-08 10:28:09	ga_ls8c_ard_3-2-1_102069_2023-07-08_final
2023-07-18 09:28:22	ga_ls8c_ard_3-2-1_092074_2023-07-17_final
2023-10-15 09:23:03	ga_ls8c_ard_3-2-1_091075_2023-10-14_final
2023-10-22 09:28:01	ga_ls8c_ard_3-2-1_092072_2023-10-21_final
2023-11-27 10:42:40	ga_ls8c_ard_3-2-1_104073_2023-11-27_final
2023-12-11 10:53:44	ga_ls8c_ard_3-2-1_106070_2023-12-11_final
2024-01-11 10:14:02	ga_ls8c_ard_3-2-1_099079_2024-01-11_final
2024-02-06 09:14:13	ga_ls8c_ard_3-2-1_089084_2024-02-05_final
2024-03-14 09:28:54	ga_ls8c_ard_3-2-1_092075_2024-03-13_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