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
2013-03-26 11:14:16	ga_ls8c_ard_3-0-0_109073_2013-03-26_final
2013-04-03 11:27:12	ga_ls8c_ard_3-0-0_111073_2013-04-03_final
2013-07-23 11:53:34	ga_ls8c_ard_3-0-0_115076_2013-07-23_final
2013-10-30 09:08:03	ga_ls8c_ard_3-0-0_088080_2013-10-29_final
2013-12-24 10:53:39	ga_ls8c_ard_3-0-0_105082_2013-12-24_final
2014-04-11 11:14:35	ga_ls8c_ard_3-0-0_109076_2014-04-11_final
2014-06-10 11:38:08	ga_ls8c_ard_3-0-0_113074_2014-06-10_final
2014-06-21 11:18:49	ga_ls8c_ard_3-0-0_110072_2014-06-21_final
2014-11-18 09:06:55	ga_ls8c_ard_3-1-0_088081_2014-11-17_final
2015-01-22 11:25:39	ga_ls8c_ard_3-0-0_111073_2015-01-22_final
2015-09-10 11:29:22	ga_ls8c_ard_3-0-0_112067_2015-09-10_final
2015-10-11 10:46:37	ga_ls8c_ard_3-0-0_105068_2015-10-11_final
2015-11-06 09:50:54	ga_ls8c_ard_3-0-0_095083_2015-11-06_final
2016-04-07 11:19:32	ga_ls8c_ard_3-0-0_110074_2016-04-07_final
2016-07-01 11:39:29	ga_ls8c_ard_3-0-0_113077_2016-07-01_final
2016-11-17 11:17:27	ga_ls8c_ard_3-0-0_110067_2016-11-17_final
2016-12-28 11:12:46	ga_ls8c_ard_3-0-0_109071_2016-12-28_final
2017-01-22 11:06:52	ga_ls8c_ard_3-0-0_108072_2017-01-22_final
2017-02-21 11:23:24	ga_ls8c_ard_3-0-0_110083_2017-02-21_final
2017-03-31 10:45:36	ga_ls8c_ard_3-0-0_104082_2017-03-31_final
2017-05-03 11:24:58	ga_ls8c_ard_3-0-0_111073_2017-05-03_final
2017-05-28 11:18:41	ga_ls8c_ard_3-0-0_110072_2017-05-28_final
2017-07-20 11:42:18	ga_ls8c_ard_3-0-0_113084_2017-07-20_final
2017-08-16 09:39:53	ga_ls8c_ard_3-0-0_094071_2017-08-16_final
2017-09-01 11:23:12	ga_ls8c_ard_3-0-0_110082_2017-09-01_final
2017-09-30 10:50:02	ga_ls8c_ard_3-0-0_105076_2017-09-30_final
2017-10-23 10:55:29	ga_ls8c_ard_3-0-0_106074_2017-10-23_final
2018-02-24 11:16:51	ga_ls8c_ard_3-0-0_110067_2018-02-24_final
2018-04-18 11:40:55	ga_ls8c_ard_3-0-0_113082_2018-04-18_final
2018-06-15 10:38:20	ga_ls8c_ard_3-0-0_103081_2018-06-15_final
2018-07-12 11:57:44	ga_ls8c_ard_3-0-0_116078_2018-07-12_final
2018-12-23 11:30:33	ga_ls8c_ard_3-0-0_112070_2018-12-23_final
2019-02-04 11:11:30	ga_ls8c_ard_3-0-0_109069_2019-02-04_final
2019-02-15 10:57:43	ga_ls8c_ard_3-0-0_106081_2019-02-15_final
2019-02-22 11:01:05	ga_ls8c_ard_3-0-0_107074_2019-02-22_final
2019-02-27 09:40:19	ga_ls8c_ard_3-0-0_094073_2019-02-27_final
2019-03-05 10:45:41	ga_ls8c_ard_3-0-0_104082_2019-03-05_final
2019-03-26 10:59:20	ga_ls8c_ard_3-1-0_107070_2019-03-26_final
2019-05-06 10:57:03	ga_ls8c_ard_3-0-0_106080_2019-05-06_final
2019-08-11 11:37:46	ga_ls8c_ard_3-1-0_113072_2019-08-11_final
2019-09-23 09:40:56	ga_ls8c_ard_3-1-0_094073_2019-09-23_final
2019-11-28 11:10:15	ga_ls8c_ard_3-1-0_108080_2019-11-28_final
2019-12-26 11:30:55	ga_ls8c_ard_3-1-0_112070_2019-12-26_final
2020-01-17 10:53:21	ga_ls8c_ard_3-1-0_106069_2020-01-17_final
2020-01-24 11:00:42	ga_ls8c_ard_3-1-0_107072_2020-01-24_final
2020-03-05 10:53:31	ga_ls8c_ard_3-1-0_106070_2020-03-05_final
2020-04-02 11:23:11	ga_ls8c_ard_3-1-0_110083_2020-04-02_final
2020-05-17 10:49:14	ga_ls8c_ard_3-1-0_105076_2020-05-17_final
2020-08-17 11:12:33	ga_ls8c_ard_3-1-0_109071_2020-08-17_final
2020-10-04 11:14:51	ga_ls8c_ard_3-1-0_109076_2020-10-04_final
2020-10-16 11:41:35	ga_ls8c_ard_3-1-0_113081_2020-10-16_final
2020-12-11 10:46:34	ga_ls8c_ard_3-1-0_105067_2020-12-11_final
2020-12-17 10:14:40	ga_ls8c_ard_3-2-0_099080_2020-12-17_final
2020-12-18 09:18:14	ga_ls8c_ard_3-2-0_090078_2020-12-17_final
2020-12-18 10:59:07	ga_ls8c_ard_3-2-0_106083_2020-12-18_final
2021-01-05 10:40:41	ga_ls8c_ard_3-2-0_104068_2021-01-05_final
2021-03-13 11:12:48	ga_ls8c_ard_3-2-0_109072_2021-03-13_final
2021-03-17 10:49:38	ga_ls8c_ard_3-2-0_105076_2021-03-17_final
2021-04-02 10:48:46	ga_ls8c_ard_3-2-0_105074_2021-04-02_final
2021-04-08 11:52:32	ga_ls8c_ard_3-2-0_115079_2021-04-08_final
2021-08-25 09:57:34	ga_ls8c_ard_3-2-0_096084_2021-08-25_final
2021-09-15 11:52:17	ga_ls8c_ard_3-2-0_115077_2021-09-15_final
2021-11-08 09:38:02	ga_ls8c_ard_3-2-0_093081_2021-11-08_final
2021-12-06 09:58:20	ga_ls8c_ard_3-2-1_097070_2021-12-06_final
2021-12-12 09:26:49	ga_ls8c_ard_3-2-1_091084_2021-12-11_final
2021-12-30 10:48:27	ga_ls8c_ard_3-2-1_105072_2021-12-30_final
2022-01-05 10:11:22	ga_ls8c_ard_3-2-1_099072_2022-01-05_final
2022-01-13 09:24:42	ga_ls8c_ard_3-2-1_091079_2022-01-12_final
2022-01-22 09:17:17	ga_ls8c_ard_3-2-1_090076_2022-01-21_final
2022-02-16 09:14:35	ga_ls8c_ard_3-2-1_089085_2022-02-15_final
2022-02-26 09:47:38	ga_ls8c_ard_3-2-1_095075_2022-02-26_final
2022-03-28 10:00:31	ga_ls8c_ard_3-2-1_097077_2022-03-28_final
2022-04-20 10:03:10	ga_ls8c_ard_3-2-1_098068_2022-04-20_final
2022-05-14 10:58:42	ga_ls8c_ard_3-2-1_106083_2022-05-14_final
2022-07-22 09:40:44	ga_ls8c_ard_3-2-1_093088_2022-07-22_final
2022-08-21 11:27:01	ga_ls8c_ard_3-2-1_111075_2022-08-21_final
2022-09-19 09:22:32	ga_ls8c_ard_3-2-1_090088_2022-09-18_final
2022-09-24 09:34:42	ga_ls8c_ard_3-2-1_093072_2022-09-24_final
2022-10-04 10:10:09	ga_ls8c_ard_3-2-1_099068_2022-10-04_final
2022-10-13 10:08:14	ga_ls8c_ard_3-2-1_098079_2022-10-13_final
2022-11-16 11:32:00	ga_ls8c_ard_3-2-1_112072_2022-11-16_final
2022-11-30 10:04:19	ga_ls8c_ard_3-2-1_098069_2022-11-30_final
2023-01-07 09:29:04	ga_ls8c_ard_3-2-1_092074_2023-01-06_final
2023-03-09 10:34:13	ga_ls8c_ard_3-2-1_103068_2023-03-09_final
2023-04-08 09:10:57	ga_ls8c_ard_3-2-1_089077_2023-04-07_final
2023-04-09 11:31:04	ga_ls8c_ard_3-2-1_112072_2023-04-09_final
2023-05-03 09:06:35	ga_ls8c_ard_3-2-1_088082_2023-05-02_final
2023-06-06 10:27:50	ga_ls8c_ard_3-2-1_102069_2023-06-06_final
2023-06-08 10:17:54	ga_ls8c_ard_3-2-1_100075_2023-06-08_final
2023-06-14 09:45:16	ga_ls8c_ard_3-2-1_094086_2023-06-14_final
2023-07-12 11:45:07	ga_ls8c_ard_3-2-1_114076_2023-07-12_final
2023-08-14 09:11:13	ga_ls8c_ard_3-2-1_089077_2023-08-13_final
2023-08-17 09:40:10	ga_ls8c_ard_3-2-1_094072_2023-08-17_final
2023-08-30 09:11:43	ga_ls8c_ard_3-2-1_089078_2023-08-29_final
2023-09-15 10:49:51	ga_ls8c_ard_3-2-1_105076_2023-09-15_final
2023-10-04 11:19:14	ga_ls8c_ard_3-2-1_110072_2023-10-04_final
2023-10-07 11:52:56	ga_ls8c_ard_3-2-1_115079_2023-10-07_final
2023-12-13 09:06:54	ga_ls8c_ard_3-2-1_088081_2023-12-12_final
2024-01-11 10:11:15	ga_ls8c_ard_3-2-1_099072_2024-01-11_final
2024-02-29 09:16:41	ga_ls8c_ard_3-2-1_090075_2024-02-28_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