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
2015-05-09 09:30:08	ga_ls8c_ard_3-0-0_092080_2015-05-09_final
2015-05-09 09:30:32	ga_ls8c_ard_3-0-0_092081_2015-05-09_final
2015-05-09 11:09:01	ga_ls8c_ard_3-0-0_108080_2015-05-09_final
2015-05-09 11:09:25	ga_ls8c_ard_3-0-0_108081_2015-05-09_final
2015-05-10 10:13:23	ga_ls8c_ard_3-0-0_099080_2015-05-10_final
2015-05-10 11:52:16	ga_ls8c_ard_3-0-0_115080_2015-05-10_final
2015-05-11 09:17:45	ga_ls8c_ard_3-0-0_090080_2015-05-10_final
2015-05-11 10:56:38	ga_ls8c_ard_3-0-0_106080_2015-05-11_final
2016-11-20 10:14:39	ga_ls8c_ard_3-0-0_099080_2016-11-20_final
2016-11-20 10:15:03	ga_ls8c_ard_3-0-0_099081_2016-11-20_final
2016-11-20 11:53:32	ga_ls8c_ard_3-0-0_115080_2016-11-20_final
2016-11-21 09:19:02	ga_ls8c_ard_3-0-0_090080_2016-11-20_final
2016-11-21 09:19:26	ga_ls8c_ard_3-0-0_090081_2016-11-20_final
2016-11-21 10:57:55	ga_ls8c_ard_3-0-0_106080_2016-11-21_final
2016-11-21 10:58:19	ga_ls8c_ard_3-0-0_106081_2016-11-21_final
2016-11-22 10:02:18	ga_ls8c_ard_3-0-0_097080_2016-11-22_final
2016-11-22 10:02:42	ga_ls8c_ard_3-0-0_097081_2016-11-22_final
2016-11-22 11:41:11	ga_ls8c_ard_3-0-0_113080_2016-11-22_final
2016-11-22 11:41:35	ga_ls8c_ard_3-0-0_113081_2016-11-22_final
2016-12-08 10:02:16	ga_ls8c_ard_3-0-0_097080_2016-12-08_final
2016-12-08 10:02:40	ga_ls8c_ard_3-0-0_097081_2016-12-08_final
2016-12-08 11:41:09	ga_ls8c_ard_3-0-0_113080_2016-12-08_final
2016-12-08 11:41:33	ga_ls8c_ard_3-0-0_113081_2016-12-08_final
2016-12-09 09:06:38	ga_ls8c_ard_3-0-0_088080_2016-12-08_final
2016-12-09 09:07:02	ga_ls8c_ard_3-1-0_088081_2016-12-08_final
2016-12-09 10:45:31	ga_ls8c_ard_3-0-0_104080_2016-12-09_final
2016-12-09 10:45:55	ga_ls8c_ard_3-0-0_104081_2016-12-09_final
2016-12-10 08:11:01	ga_ls8c_ard_3-2-1_079080_2016-12-09_final
2016-12-10 09:49:54	ga_ls8c_ard_3-0-0_095080_2016-12-10_final
2016-12-10 09:50:18	ga_ls8c_ard_3-0-0_095081_2016-12-10_final
2016-12-10 11:28:47	ga_ls8c_ard_3-0-0_111080_2016-12-10_final
2016-12-10 11:29:11	ga_ls8c_ard_3-0-0_111081_2016-12-10_final
2017-10-21 09:31:21	ga_ls8c_ard_3-0-0_092080_2017-10-21_final
2017-10-21 09:31:45	ga_ls8c_ard_3-0-0_092081_2017-10-21_final
2017-10-21 11:10:14	ga_ls8c_ard_3-0-0_108080_2017-10-21_final
2017-10-21 11:10:38	ga_ls8c_ard_3-0-0_108081_2017-10-21_final
2017-12-21 10:39:14	ga_ls8c_ard_3-0-0_103080_2017-12-21_final
2017-12-21 10:39:38	ga_ls8c_ard_3-0-0_103081_2017-12-21_final
2017-12-22 09:43:37	ga_ls8c_ard_3-0-0_094080_2017-12-22_final
2017-12-22 09:44:01	ga_ls8c_ard_3-0-0_094081_2017-12-22_final
2017-12-22 11:22:30	ga_ls8c_ard_3-0-0_110080_2017-12-22_final
2017-12-22 11:22:54	ga_ls8c_ard_3-0-0_110081_2017-12-22_final
2017-12-23 10:26:52	ga_ls8c_ard_3-0-0_101080_2017-12-23_final
2017-12-23 10:27:16	ga_ls8c_ard_3-0-0_101081_2017-12-23_final
2017-12-24 09:31:15	ga_ls8c_ard_3-0-0_092080_2017-12-24_final
2017-12-24 09:31:39	ga_ls8c_ard_3-0-0_092081_2017-12-24_final
2017-12-24 11:10:08	ga_ls8c_ard_3-0-0_108080_2017-12-24_final
2017-12-24 11:10:32	ga_ls8c_ard_3-0-0_108081_2017-12-24_final
2018-02-19 09:24:39	ga_ls8c_ard_3-0-0_091080_2018-02-18_final
2018-02-19 09:25:03	ga_ls8c_ard_3-0-0_091081_2018-02-18_final
2018-02-19 11:03:32	ga_ls8c_ard_3-0-0_107080_2018-02-19_final
2018-02-19 11:03:56	ga_ls8c_ard_3-0-0_107081_2018-02-19_final
2018-02-20 10:07:55	ga_ls8c_ard_3-0-0_098080_2018-02-20_final
2018-02-20 11:46:48	ga_ls8c_ard_3-0-0_114080_2018-02-20_final
2018-02-21 09:12:17	ga_ls8c_ard_3-0-0_089080_2018-02-20_final
2018-02-21 10:51:10	ga_ls8c_ard_3-0-0_105080_2018-02-21_final
2018-02-22 09:55:32	ga_ls8c_ard_3-0-0_096080_2018-02-22_final
2018-02-22 09:55:56	ga_ls8c_ard_3-0-0_096081_2018-02-22_final
2018-02-22 11:34:25	ga_ls8c_ard_3-0-0_112080_2018-02-22_final
2018-02-23 10:38:47	ga_ls8c_ard_3-0-0_103080_2018-02-23_final
2018-02-23 10:39:11	ga_ls8c_ard_3-0-0_103081_2018-02-23_final
2018-02-24 09:43:10	ga_ls8c_ard_3-0-0_094080_2018-02-24_final
2018-02-24 09:43:34	ga_ls8c_ard_3-0-0_094081_2018-02-24_final
2018-02-24 11:22:03	ga_ls8c_ard_3-0-0_110080_2018-02-24_final
2018-02-25 10:26:25	ga_ls8c_ard_3-0-0_101080_2018-02-25_final
2018-02-26 09:30:47	ga_ls8c_ard_3-0-0_092080_2018-02-26_final
2018-02-26 11:09:40	ga_ls8c_ard_3-0-0_108080_2018-02-26_final
2018-02-26 11:10:04	ga_ls8c_ard_3-0-0_108081_2018-02-26_final
2018-03-31 10:13:46	ga_ls8c_ard_3-0-0_099080_2018-03-31_final
2018-03-31 10:14:10	ga_ls8c_ard_3-0-0_099081_2018-03-31_final
2018-03-31 11:52:39	ga_ls8c_ard_3-0-0_115080_2018-03-31_final
2018-04-01 09:18:09	ga_ls8c_ard_3-0-0_090080_2018-03-31_final
2018-04-01 10:57:02	ga_ls8c_ard_3-0-0_106080_2018-04-01_final
2018-04-01 10:57:25	ga_ls8c_ard_3-0-0_106081_2018-04-01_final
2018-04-02 10:01:24	ga_ls8c_ard_3-0-0_097080_2018-04-02_final
2018-04-02 10:01:48	ga_ls8c_ard_3-0-0_097081_2018-04-02_final
2018-04-02 11:40:17	ga_ls8c_ard_3-0-0_113080_2018-04-02_final
2018-04-02 11:40:41	ga_ls8c_ard_3-0-0_113081_2018-04-02_final
2018-04-03 09:05:46	ga_ls8c_ard_3-0-0_088080_2018-04-02_final
2018-04-03 09:06:10	ga_ls8c_ard_3-1-0_088081_2018-04-02_final
2018-04-03 10:44:39	ga_ls8c_ard_3-0-0_104080_2018-04-03_final
2018-04-04 09:49:01	ga_ls8c_ard_3-0-0_095080_2018-04-04_final
2018-04-04 09:49:25	ga_ls8c_ard_3-0-0_095081_2018-04-04_final
2018-04-04 11:27:54	ga_ls8c_ard_3-0-0_111080_2018-04-04_final
2018-04-04 11:28:18	ga_ls8c_ard_3-0-0_111081_2018-04-04_final
2018-04-05 10:32:16	ga_ls8c_ard_3-0-0_102080_2018-04-05_final
2018-05-05 09:05:28	ga_ls8c_ard_3-0-0_088080_2018-05-04_final
2018-05-05 10:44:21	ga_ls8c_ard_3-0-0_104080_2018-05-05_final
2018-05-05 10:44:45	ga_ls8c_ard_3-0-0_104081_2018-05-05_final
2018-05-06 09:48:43	ga_ls8c_ard_3-0-0_095080_2018-05-06_final
2018-05-06 11:27:36	ga_ls8c_ard_3-0-0_111080_2018-05-06_final
2018-05-07 10:31:58	ga_ls8c_ard_3-0-0_102080_2018-05-07_final
2018-05-07 10:32:22	ga_ls8c_ard_3-0-0_102081_2018-05-07_final
2018-07-17 10:38:13	ga_ls8c_ard_3-0-0_103080_2018-07-17_final
2018-07-17 10:38:37	ga_ls8c_ard_3-0-0_103081_2018-07-17_final
2018-07-18 09:42:36	ga_ls8c_ard_3-0-0_094080_2018-07-18_final
2018-07-18 09:43:00	ga_ls8c_ard_3-0-0_094081_2018-07-18_final
2018-07-18 11:21:29	ga_ls8c_ard_3-0-0_110080_2018-07-18_final
2018-07-18 11:21:53	ga_ls8c_ard_3-0-0_110081_2018-07-18_final
2018-07-19 10:25:52	ga_ls8c_ard_3-0-0_101080_2018-07-19_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