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
2020-09-04 10:58:45	ga_ls8c_ard_3-1-0_107067_2020-09-04_final
2020-09-04 11:01:08	ga_ls8c_ard_3-1-0_107073_2020-09-04_final
2020-09-04 11:02:44	ga_ls8c_ard_3-1-0_107077_2020-09-04_final
2020-09-04 11:04:44	ga_ls8c_ard_3-1-0_107082_2020-09-04_final
2020-09-05 11:42:01	ga_ls8c_ard_3-1-0_114067_2020-09-05_final
2020-09-05 11:45:13	ga_ls8c_ard_3-1-0_114075_2020-09-05_final
2020-09-05 11:47:12	ga_ls8c_ard_3-1-0_114080_2020-09-05_final
2020-09-06 10:48:00	ga_ls8c_ard_3-1-0_105071_2020-09-06_final
2020-09-06 10:49:36	ga_ls8c_ard_3-1-0_105075_2020-09-06_final
2020-09-06 10:49:59	ga_ls8c_ard_3-1-0_105076_2020-09-06_final
2020-09-06 10:51:11	ga_ls8c_ard_3-1-0_105079_2020-09-06_final
2020-09-06 10:51:35	ga_ls8c_ard_3-1-0_105080_2020-09-06_final
2020-09-07 11:29:40	ga_ls8c_ard_3-1-0_112067_2020-09-07_final
2020-09-07 11:31:16	ga_ls8c_ard_3-1-0_112071_2020-09-07_final
2020-09-07 11:31:40	ga_ls8c_ard_3-1-0_112072_2020-09-07_final
2020-09-07 11:32:28	ga_ls8c_ard_3-1-0_112074_2020-09-07_final
2020-09-07 11:33:16	ga_ls8c_ard_3-1-0_112076_2020-09-07_final
2020-09-07 11:33:40	ga_ls8c_ard_3-1-0_112077_2020-09-07_final
2020-09-07 11:34:27	ga_ls8c_ard_3-1-0_112079_2020-09-07_final
2020-09-07 11:35:39	ga_ls8c_ard_3-1-0_112082_2020-09-07_final
2020-09-07 11:36:51	ga_ls8c_ard_3-1-0_112085_2020-09-07_final
2020-09-08 10:35:15	ga_ls8c_ard_3-1-0_103070_2020-09-08_final
2020-09-08 10:38:27	ga_ls8c_ard_3-1-0_103078_2020-09-08_final
2020-09-08 10:39:14	ga_ls8c_ard_3-1-0_103080_2020-09-08_final
2020-09-08 10:39:38	ga_ls8c_ard_3-1-0_103081_2020-09-08_final
2020-09-09 09:40:02	ga_ls8c_ard_3-1-0_094071_2020-09-09_final
2020-09-09 09:40:26	ga_ls8c_ard_3-1-0_094072_2020-09-09_final
2020-09-09 09:40:50	ga_ls8c_ard_3-1-0_094073_2020-09-09_final
2020-09-09 09:41:38	ga_ls8c_ard_3-1-0_094075_2020-09-09_final
2020-09-09 09:42:50	ga_ls8c_ard_3-1-0_094078_2020-09-09_final
2020-09-09 09:43:14	ga_ls8c_ard_3-1-0_094079_2020-09-09_final
2020-09-09 09:43:37	ga_ls8c_ard_3-1-0_094080_2020-09-09_final
2020-09-09 09:44:25	ga_ls8c_ard_3-1-0_094082_2020-09-09_final
2020-09-09 09:44:49	ga_ls8c_ard_3-1-0_094083_2020-09-09_final
2020-09-09 09:45:37	ga_ls8c_ard_3-1-0_094085_2020-09-09_final
2020-09-09 09:46:01	ga_ls8c_ard_3-1-0_094086_2020-09-09_final
2020-09-09 09:46:25	ga_ls8c_ard_3-1-0_094087_2020-09-09_final
2020-09-09 09:46:49	ga_ls8c_ard_3-1-0_094088_2020-09-09_final
2020-09-09 11:18:07	ga_ls8c_ard_3-1-0_110069_2020-09-09_final
2020-09-09 11:20:31	ga_ls8c_ard_3-1-0_110075_2020-09-09_final
2020-09-09 11:22:31	ga_ls8c_ard_3-1-0_110080_2020-09-09_final
2020-09-09 11:23:42	ga_ls8c_ard_3-1-0_110083_2020-09-09_final
2020-09-10 10:22:30	ga_ls8c_ard_3-1-0_101069_2020-09-10_final
2020-09-10 10:22:54	ga_ls8c_ard_3-1-0_101070_2020-09-10_final
2020-09-10 10:24:30	ga_ls8c_ard_3-1-0_101074_2020-09-10_final
2020-09-10 10:24:54	ga_ls8c_ard_3-1-0_101075_2020-09-10_final
2020-09-10 10:27:41	ga_ls8c_ard_3-1-0_101082_2020-09-10_final
2020-09-10 10:28:05	ga_ls8c_ard_3-1-0_101083_2020-09-10_final
2020-09-11 11:04:58	ga_ls8c_ard_3-1-0_108067_2020-09-11_final
2020-09-11 11:05:46	ga_ls8c_ard_3-1-0_108069_2020-09-11_final
2020-09-11 11:08:10	ga_ls8c_ard_3-1-0_108075_2020-09-11_final
2020-09-11 11:08:34	ga_ls8c_ard_3-1-0_108076_2020-09-11_final
2020-09-11 11:09:22	ga_ls8c_ard_3-1-0_108078_2020-09-11_final
2020-09-11 11:09:46	ga_ls8c_ard_3-1-0_108079_2020-09-11_final
2020-09-11 11:11:45	ga_ls8c_ard_3-1-0_108084_2020-09-11_final
2020-09-12 10:16:32	ga_ls8c_ard_3-1-0_099085_2020-09-12_final
2020-09-12 11:51:02	ga_ls8c_ard_3-1-0_115074_2020-09-12_final
2020-09-12 11:52:38	ga_ls8c_ard_3-1-0_115078_2020-09-12_final
2020-09-12 11:53:02	ga_ls8c_ard_3-1-0_115079_2020-09-12_final
2020-09-13 10:53:49	ga_ls8c_ard_3-1-0_106070_2020-09-13_final
2020-09-13 10:54:13	ga_ls8c_ard_3-1-0_106071_2020-09-13_final
2020-09-13 10:54:37	ga_ls8c_ard_3-1-0_106072_2020-09-13_final
2020-09-13 10:56:13	ga_ls8c_ard_3-1-0_106076_2020-09-13_final
2020-09-13 10:56:37	ga_ls8c_ard_3-1-0_106077_2020-09-13_final
2020-09-13 10:57:25	ga_ls8c_ard_3-1-0_106079_2020-09-13_final
2020-09-13 10:57:49	ga_ls8c_ard_3-1-0_106080_2020-09-13_final
2020-09-14 11:37:53	ga_ls8c_ard_3-1-0_113072_2020-09-14_final
2020-09-14 11:38:41	ga_ls8c_ard_3-1-0_113074_2020-09-14_final
2020-09-14 11:40:17	ga_ls8c_ard_3-1-0_113078_2020-09-14_final
2020-09-14 11:40:41	ga_ls8c_ard_3-1-0_113079_2020-09-14_final
2020-09-14 11:41:05	ga_ls8c_ard_3-1-0_113080_2020-09-14_final
2020-09-14 11:41:29	ga_ls8c_ard_3-1-0_113081_2020-09-14_final
2020-09-15 10:40:40	ga_ls8c_ard_3-1-0_104068_2020-09-15_final
2020-09-15 10:41:52	ga_ls8c_ard_3-1-0_104071_2020-09-15_final
2020-09-15 10:43:04	ga_ls8c_ard_3-1-0_104074_2020-09-15_final
2020-09-15 10:43:28	ga_ls8c_ard_3-1-0_104075_2020-09-15_final
2020-09-15 10:44:40	ga_ls8c_ard_3-1-0_104078_2020-09-15_final
2020-09-15 10:46:16	ga_ls8c_ard_3-1-0_104082_2020-09-15_final
2020-09-15 10:46:40	ga_ls8c_ard_3-1-0_104083_2020-09-15_final
2020-09-16 09:44:40	ga_ls8c_ard_3-1-0_095067_2020-09-16_final
2020-09-16 09:45:51	ga_ls8c_ard_3-1-0_095070_2020-09-16_final
2020-09-16 09:46:15	ga_ls8c_ard_3-1-0_095071_2020-09-16_final
2020-09-16 09:46:39	ga_ls8c_ard_3-1-0_095072_2020-09-16_final
2020-09-16 09:47:27	ga_ls8c_ard_3-1-0_095074_2020-09-16_final
2020-09-16 09:47:51	ga_ls8c_ard_3-1-0_095075_2020-09-16_final
2020-09-16 09:48:15	ga_ls8c_ard_3-1-0_095076_2020-09-16_final
2020-09-16 09:48:39	ga_ls8c_ard_3-1-0_095077_2020-09-16_final
2020-09-16 09:49:03	ga_ls8c_ard_3-1-0_095078_2020-09-16_final
2020-09-16 09:49:51	ga_ls8c_ard_3-1-0_095080_2020-09-16_final
2020-09-16 09:50:39	ga_ls8c_ard_3-1-0_095082_2020-09-16_final
2020-09-16 09:51:03	ga_ls8c_ard_3-1-0_095083_2020-09-16_final
2020-09-16 09:51:27	ga_ls8c_ard_3-1-0_095084_2020-09-16_final
2020-09-16 09:51:50	ga_ls8c_ard_3-1-0_095085_2020-09-16_final
2020-09-16 09:52:14	ga_ls8c_ard_3-1-0_095086_2020-09-16_final
2020-09-16 11:23:57	ga_ls8c_ard_3-1-0_111068_2020-09-16_final
2020-09-16 11:24:20	ga_ls8c_ard_3-1-0_111069_2020-09-16_final
2020-09-16 11:25:32	ga_ls8c_ard_3-1-0_111072_2020-09-16_final
2020-09-16 11:27:08	ga_ls8c_ard_3-1-0_111076_2020-09-16_final
2020-09-16 11:27:56	ga_ls8c_ard_3-1-0_111078_2020-09-16_final
2020-09-16 11:29:32	ga_ls8c_ard_3-1-0_111082_2020-09-16_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