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
2013-03-21 11:16:07	ga_ls8c_ard_3-0-0_110067_2013-03-21_final
2013-04-01 11:49:01	ga_ls8c_ard_3-0-0_114074_2013-04-01_final
2013-07-22 11:09:54	ga_ls8c_ard_3-0-0_108075_2013-07-22_final
2013-08-13 10:35:40	ga_ls8c_ard_3-0-0_102082_2013-08-13_final
2013-10-08 09:47:18	ga_ls8c_ard_3-0-0_094085_2013-10-08_final
2014-03-01 09:38:52	ga_ls8c_ard_3-0-0_094067_2014-03-01_final
2014-04-24 10:40:17	ga_ls8c_ard_3-0-0_104068_2014-04-24_final
2014-06-17 11:41:33	ga_ls8c_ard_3-0-0_114067_2014-06-17_final
2015-01-31 09:40:58	ga_ls8c_ard_3-0-0_094074_2015-01-31_final
2015-02-25 11:11:32	ga_ls8c_ard_3-0-0_109069_2015-02-25_final
2015-07-17 09:51:09	ga_ls8c_ard_3-0-0_095085_2015-07-17_final
2015-09-17 11:38:24	ga_ls8c_ard_3-0-0_113074_2015-09-17_final
2015-09-20 10:33:37	ga_ls8c_ard_3-0-0_102082_2015-09-20_final
2015-12-08 09:50:55	ga_ls8c_ard_3-0-0_095083_2015-12-08_final
2016-01-27 11:16:59	ga_ls8c_ard_3-0-0_109082_2016-01-27_final
2016-02-23 10:53:05	ga_ls8c_ard_3-0-0_106069_2016-02-23_final
2016-03-12 09:06:11	ga_ls8c_ard_3-0-0_088080_2016-03-11_final
2016-03-15 11:11:34	ga_ls8c_ard_3-0-0_109069_2016-03-15_final
2016-03-19 10:51:12	ga_ls8c_ard_3-0-0_105080_2016-03-19_final
2016-05-25 11:22:43	ga_ls8c_ard_3-0-0_110082_2016-05-25_final
2016-06-30 10:57:25	ga_ls8c_ard_3-0-0_106080_2016-06-30_final
2016-07-14 11:05:54	ga_ls8c_ard_3-0-0_108070_2016-07-14_final
2016-09-29 10:39:16	ga_ls8c_ard_3-0-0_103080_2016-09-29_final
2016-10-23 09:51:56	ga_ls8c_ard_3-0-0_095085_2016-10-23_final
2016-11-08 11:24:49	ga_ls8c_ard_3-0-0_111070_2016-11-08_final
2016-11-22 11:37:59	ga_ls8c_ard_3-0-0_113072_2016-11-22_final
2017-01-03 10:39:39	ga_ls8c_ard_3-0-0_103081_2017-01-03_final
2017-01-19 10:34:47	ga_ls8c_ard_3-0-0_103069_2017-01-19_final
2017-01-20 11:19:14	ga_ls8c_ard_3-0-0_110072_2017-01-20_final
2017-03-23 11:35:05	ga_ls8c_ard_3-0-0_112082_2017-03-23_final
2017-07-22 11:26:46	ga_ls8c_ard_3-0-0_111076_2017-07-22_final
2017-08-05 11:42:02	ga_ls8c_ard_3-0-0_113083_2017-08-05_final
2017-10-03 09:40:04	ga_ls8c_ard_3-0-0_094071_2017-10-03_final
2017-11-06 11:07:26	ga_ls8c_ard_3-0-0_108073_2017-11-06_final
2017-11-27 09:52:33	ga_ls8c_ard_3-0-0_095087_2017-11-27_final
2017-12-08 11:08:05	ga_ls8c_ard_3-0-0_108075_2017-12-08_final
2018-01-02 10:59:55	ga_ls8c_ard_3-0-0_107070_2018-01-02_final
2018-01-16 11:16:58	ga_ls8c_ard_3-0-0_109082_2018-01-16_final
2018-02-21 10:48:46	ga_ls8c_ard_3-0-0_105074_2018-02-21_final
2018-02-28 10:53:42	ga_ls8c_ard_3-0-0_106071_2018-02-28_final
2018-03-07 10:59:49	ga_ls8c_ard_3-0-0_107071_2018-03-07_final
2018-03-31 11:51:52	ga_ls8c_ard_3-0-0_115078_2018-03-31_final
2018-05-17 11:06:08	ga_ls8c_ard_3-0-0_108073_2018-05-17_final
2018-07-09 09:45:55	ga_ls8c_ard_3-0-0_095073_2018-07-09_final
2018-07-09 11:23:13	ga_ls8c_ard_3-0-0_111069_2018-07-09_final
2018-07-22 10:52:24	ga_ls8c_ard_3-0-0_106069_2018-07-22_final
2018-11-07 09:45:44	ga_ls8c_ard_3-0-0_094086_2018-11-07_final
2019-03-18 11:52:23	ga_ls8c_ard_3-1-0_115079_2019-03-18_final
2019-03-24 11:12:06	ga_ls8c_ard_3-1-0_109071_2019-03-24_final
2019-03-31 11:18:39	ga_ls8c_ard_3-1-0_110072_2019-03-31_final
2019-05-18 09:39:25	ga_ls8c_ard_3-0-0_094071_2019-05-18_final
2019-05-23 11:41:17	ga_ls8c_ard_3-0-0_113082_2019-05-23_final
2019-05-29 11:04:39	ga_ls8c_ard_3-0-0_107083_2019-05-29_final
2019-10-12 11:53:11	ga_ls8c_ard_3-1-0_115079_2019-10-12_final
2020-04-14 11:45:50	ga_ls8c_ard_3-1-0_114078_2020-04-14_final
2020-05-23 11:50:39	ga_ls8c_ard_3-1-0_115075_2020-05-23_final
2020-06-27 10:42:10	ga_ls8c_ard_3-1-0_104073_2020-06-27_final
2020-09-01 10:30:37	ga_ls8c_ard_3-1-0_102074_2020-09-01_final
2021-01-02 10:14:11	ga_ls8c_ard_3-2-0_099079_2021-01-02_final
2021-04-18 09:10:59	ga_ls8c_ard_3-2-0_089077_2021-04-17_final
2021-05-04 10:48:31	ga_ls8c_ard_3-2-0_105074_2021-05-04_final
2021-05-30 09:46:32	ga_ls8c_ard_3-2-0_095073_2021-05-30_final
2021-06-14 09:06:34	ga_ls8c_ard_3-2-0_088081_2021-06-13_final
2021-06-19 09:28:43	ga_ls8c_ard_3-2-0_091090_2021-06-18_final
2021-07-13 10:15:01	ga_ls8c_ard_3-2-0_099082_2021-07-13_final
2021-07-13 11:50:43	ga_ls8c_ard_3-2-0_115074_2021-07-13_final
2021-08-09 11:30:47	ga_ls8c_ard_3-2-0_112070_2021-08-09_final
2021-08-13 09:34:23	ga_ls8c_ard_3-2-0_092088_2021-08-13_final
2021-08-14 10:09:16	ga_ls8c_ard_3-2-0_099067_2021-08-14_final
2021-09-23 09:26:46	ga_ls8c_ard_3-2-0_091084_2021-09-22_final
2021-12-12 09:25:14	ga_ls8c_ard_3-2-1_091080_2021-12-11_final
2022-01-16 09:52:24	ga_ls8c_ard_3-2-1_096071_2022-01-16_final
2022-01-16 11:32:29	ga_ls8c_ard_3-2-1_112074_2022-01-16_final
2022-01-23 09:58:08	ga_ls8c_ard_3-2-1_097070_2022-01-23_final
2022-03-05 11:31:28	ga_ls8c_ard_3-2-1_112072_2022-03-05_final
2022-03-26 11:51:48	ga_ls8c_ard_3-2-1_115077_2022-03-26_final
2022-04-10 11:07:45	ga_ls8c_ard_3-2-1_108075_2022-04-10_final
2022-05-14 09:17:01	ga_ls8c_ard_3-2-1_090076_2022-05-13_final
2022-07-06 09:37:53	ga_ls8c_ard_3-2-1_093081_2022-07-06_final
2022-08-07 09:35:43	ga_ls8c_ard_3-2-1_093075_2022-08-07_final
2022-08-26 10:04:41	ga_ls8c_ard_3-2-1_098070_2022-08-26_final
2022-11-12 10:17:30	ga_ls8c_ard_3-2-1_100071_2022-11-12_final
2023-01-30 11:15:18	ga_ls8c_ard_3-2-1_109077_2023-01-30_final
2023-01-31 10:22:29	ga_ls8c_ard_3-2-1_100084_2023-01-31_final
2023-02-08 11:06:42	ga_ls8c_ard_3-2-1_108071_2023-02-08_final
2023-02-19 09:14:42	ga_ls8c_ard_3-2-1_089085_2023-02-18_final
2023-03-11 10:27:27	ga_ls8c_ard_3-2-1_101082_2023-03-11_final
2023-03-17 09:45:57	ga_ls8c_ard_3-2-1_095071_2023-03-17_final
2023-03-26 11:18:08	ga_ls8c_ard_3-2-1_110070_2023-03-26_final
2023-04-13 11:05:30	ga_ls8c_ard_3-2-1_108070_2023-04-13_final
2023-04-15 10:54:20	ga_ls8c_ard_3-2-1_106073_2023-04-15_final
2023-05-21 10:27:45	ga_ls8c_ard_3-2-1_102069_2023-05-21_final
2023-05-29 11:22:49	ga_ls8c_ard_3-2-1_110083_2023-05-29_final
2023-06-11 09:14:20	ga_ls8c_ard_3-2-1_089086_2023-06-10_final
2023-06-14 11:17:22	ga_ls8c_ard_3-2-1_110069_2023-06-14_final
2023-07-21 11:42:08	ga_ls8c_ard_3-2-1_113084_2023-07-21_final
2023-12-17 11:58:47	ga_ls8c_ard_3-2-1_116078_2023-12-17_final
2023-12-28 10:01:20	ga_ls8c_ard_3-2-1_097078_2023-12-28_final
2024-01-30 10:46:03	ga_ls8c_ard_3-2-1_104082_2024-01-30_final
2024-03-07 09:24:44	ga_ls8c_ard_3-2-1_091080_2024-03-06_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