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
2013-12-22 11:06:01	ga_ls8c_ard_3-0-0_107082_2013-12-22_final
2013-12-23 10:10:23	ga_ls8c_ard_3-0-0_098082_2013-12-23_final
2013-12-24 09:14:46	ga_ls8c_ard_3-0-0_089082_2013-12-23_final
2013-12-24 10:53:39	ga_ls8c_ard_3-0-0_105082_2013-12-24_final
2013-12-26 10:41:17	ga_ls8c_ard_3-0-0_103082_2013-12-26_final
2013-12-27 09:45:39	ga_ls8c_ard_3-0-0_094082_2013-12-27_final
2013-12-27 11:24:32	ga_ls8c_ard_3-0-0_110082_2013-12-27_final
2013-12-28 10:28:54	ga_ls8c_ard_3-0-0_101082_2013-12-28_final
2014-04-21 10:15:01	ga_ls8c_ard_3-0-0_099082_2014-04-21_final
2014-04-22 09:19:23	ga_ls8c_ard_3-0-0_090082_2014-04-21_final
2014-04-22 10:58:16	ga_ls8c_ard_3-0-0_106082_2014-04-22_final
2015-02-27 09:25:04	ga_ls8c_ard_3-0-0_091081_2015-02-26_final
2015-02-27 09:25:28	ga_ls8c_ard_3-0-0_091082_2015-02-26_final
2015-02-27 11:03:57	ga_ls8c_ard_3-0-0_107081_2015-02-27_final
2016-08-08 09:25:18	ga_ls8c_ard_3-0-0_091081_2016-08-07_final
2016-08-08 09:25:42	ga_ls8c_ard_3-0-0_091082_2016-08-07_final
2016-08-08 11:04:11	ga_ls8c_ard_3-0-0_107081_2016-08-08_final
2016-08-08 11:04:35	ga_ls8c_ard_3-1-0_107082_2016-08-08_final
2016-10-09 09:37:56	ga_ls8c_ard_3-0-0_093081_2016-10-09_final
2016-10-09 09:38:20	ga_ls8c_ard_3-0-0_093082_2016-10-09_final
2016-10-09 11:17:13	ga_ls8c_ard_3-0-0_109082_2016-10-09_final
2016-10-10 10:21:12	ga_ls8c_ard_3-0-0_100081_2016-10-10_final
2016-10-10 10:21:36	ga_ls8c_ard_3-0-0_100082_2016-10-10_final
2016-10-11 09:25:35	ga_ls8c_ard_3-0-0_091081_2016-10-10_final
2016-10-11 09:25:59	ga_ls8c_ard_3-0-0_091082_2016-10-10_final
2016-10-11 11:04:28	ga_ls8c_ard_3-0-0_107081_2016-10-11_final
2016-10-11 11:04:52	ga_ls8c_ard_3-1-0_107082_2016-10-11_final
2019-07-11 09:06:40	ga_ls8c_ard_3-1-0_088081_2019-07-10_final
2019-07-11 09:07:04	ga_ls8c_ard_3-1-0_088082_2019-07-10_final
2019-07-11 10:45:33	ga_ls8c_ard_3-1-0_104081_2019-07-11_final
2019-07-11 10:45:57	ga_ls8c_ard_3-1-0_104082_2019-07-11_final
2019-07-12 09:49:56	ga_ls8c_ard_3-1-0_095081_2019-07-12_final
2019-07-12 09:50:20	ga_ls8c_ard_3-1-0_095082_2019-07-12_final
2019-07-12 11:28:49	ga_ls8c_ard_3-1-0_111081_2019-07-12_final
2019-07-12 11:29:13	ga_ls8c_ard_3-1-0_111082_2019-07-12_final
2019-07-13 10:33:12	ga_ls8c_ard_3-1-0_102081_2019-07-13_final
2019-07-13 10:33:36	ga_ls8c_ard_3-1-0_102082_2019-07-13_final
2019-07-14 09:37:35	ga_ls8c_ard_3-1-0_093081_2019-07-14_final
2019-07-14 09:37:58	ga_ls8c_ard_3-1-0_093082_2019-07-14_final
2019-07-14 11:16:28	ga_ls8c_ard_3-1-0_109081_2019-07-14_final
2019-07-14 11:16:52	ga_ls8c_ard_3-1-0_109082_2019-07-14_final
2019-07-15 10:20:50	ga_ls8c_ard_3-1-0_100081_2019-07-15_final
2019-07-15 10:21:14	ga_ls8c_ard_3-1-0_100082_2019-07-15_final
2019-07-16 09:25:13	ga_ls8c_ard_3-1-0_091081_2019-07-15_final
2019-07-16 09:25:37	ga_ls8c_ard_3-1-0_091082_2019-07-15_final
2019-07-16 11:04:06	ga_ls8c_ard_3-1-0_107081_2019-07-16_final
2019-07-16 11:04:30	ga_ls8c_ard_3-1-0_107082_2019-07-16_final
2019-08-17 09:25:25	ga_ls8c_ard_3-1-0_091081_2019-08-16_final
2019-08-17 09:25:49	ga_ls8c_ard_3-1-0_091082_2019-08-16_final
2019-08-17 11:04:18	ga_ls8c_ard_3-1-0_107081_2019-08-17_final
2019-08-17 11:04:42	ga_ls8c_ard_3-1-0_107082_2019-08-17_final
2019-08-18 10:08:41	ga_ls8c_ard_3-1-0_098081_2019-08-18_final
2019-08-18 10:09:05	ga_ls8c_ard_3-1-0_098082_2019-08-18_final
2019-08-18 11:47:34	ga_ls8c_ard_3-1-0_114081_2019-08-18_final
2019-08-19 09:13:04	ga_ls8c_ard_3-1-0_089081_2019-08-18_final
2019-08-19 09:13:28	ga_ls8c_ard_3-1-0_089082_2019-08-18_final
2019-08-19 10:51:57	ga_ls8c_ard_3-1-0_105081_2019-08-19_final
2019-08-19 10:52:21	ga_ls8c_ard_3-1-0_105082_2019-08-19_final
2019-08-20 09:56:20	ga_ls8c_ard_3-1-0_096081_2019-08-20_final
2019-08-20 09:56:44	ga_ls8c_ard_3-1-0_096082_2019-08-20_final
2019-08-20 11:35:37	ga_ls8c_ard_3-1-0_112082_2019-08-20_final
2019-08-28 09:06:55	ga_ls8c_ard_3-1-0_088081_2019-08-27_final
2019-08-28 09:07:19	ga_ls8c_ard_3-1-0_088082_2019-08-27_final
2019-08-28 10:45:48	ga_ls8c_ard_3-1-0_104081_2019-08-28_final
2019-08-28 10:46:12	ga_ls8c_ard_3-1-0_104082_2019-08-28_final
2019-08-29 09:50:11	ga_ls8c_ard_3-1-0_095081_2019-08-29_final
2019-08-29 09:50:35	ga_ls8c_ard_3-1-0_095082_2019-08-29_final
2019-08-29 11:29:04	ga_ls8c_ard_3-1-0_111081_2019-08-29_final
2019-08-29 11:29:28	ga_ls8c_ard_3-1-0_111082_2019-08-29_final
2019-08-30 10:33:51	ga_ls8c_ard_3-1-0_102082_2019-08-30_final
2019-09-06 10:39:39	ga_ls8c_ard_3-1-0_103081_2019-09-06_final
2019-09-06 10:40:03	ga_ls8c_ard_3-1-0_103082_2019-09-06_final
2019-09-07 09:44:02	ga_ls8c_ard_3-1-0_094081_2019-09-07_final
2019-09-07 09:44:26	ga_ls8c_ard_3-1-0_094082_2019-09-07_final
2019-09-07 11:22:55	ga_ls8c_ard_3-1-0_110081_2019-09-07_final
2019-09-07 11:23:19	ga_ls8c_ard_3-1-0_110082_2019-09-07_final
2019-09-08 10:27:18	ga_ls8c_ard_3-1-0_101081_2019-09-08_final
2019-09-08 10:27:42	ga_ls8c_ard_3-1-0_101082_2019-09-08_final
2019-10-20 09:25:40	ga_ls8c_ard_3-1-0_091081_2019-10-19_final
2019-10-20 09:26:04	ga_ls8c_ard_3-1-0_091082_2019-10-19_final
2019-10-20 11:04:33	ga_ls8c_ard_3-1-0_107081_2019-10-20_final
2019-10-20 11:04:57	ga_ls8c_ard_3-1-0_107082_2019-10-20_final
2019-10-21 10:08:56	ga_ls8c_ard_3-1-0_098081_2019-10-21_final
2019-10-21 10:09:20	ga_ls8c_ard_3-1-0_098082_2019-10-21_final
2019-10-21 11:47:49	ga_ls8c_ard_3-1-0_114081_2019-10-21_final
2019-10-22 09:13:19	ga_ls8c_ard_3-1-0_089081_2019-10-21_final
2019-10-22 09:13:43	ga_ls8c_ard_3-1-0_089082_2019-10-21_final
2019-10-22 10:52:36	ga_ls8c_ard_3-1-0_105082_2019-10-22_final
2019-10-23 09:56:34	ga_ls8c_ard_3-1-0_096081_2019-10-23_final
2019-10-23 09:56:58	ga_ls8c_ard_3-1-0_096082_2019-10-23_final
2019-10-23 11:35:27	ga_ls8c_ard_3-1-0_112081_2019-10-23_final
2019-10-23 11:35:51	ga_ls8c_ard_3-1-0_112082_2019-10-23_final
2019-10-24 10:39:50	ga_ls8c_ard_3-1-0_103081_2019-10-24_final
2019-10-24 10:40:14	ga_ls8c_ard_3-1-0_103082_2019-10-24_final
2019-10-25 09:44:13	ga_ls8c_ard_3-1-0_094081_2019-10-25_final
2019-10-25 09:44:37	ga_ls8c_ard_3-1-0_094082_2019-10-25_final
2019-10-25 11:23:06	ga_ls8c_ard_3-1-0_110081_2019-10-25_final
2019-10-25 11:23:30	ga_ls8c_ard_3-1-0_110082_2019-10-25_final
2019-10-26 08:48:59	ga_ls8c_ard_3-2-1_085082_2019-10-25_final
2019-10-26 10:27:28	ga_ls8c_ard_3-1-0_101081_2019-10-26_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