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
2020-10-13 09:33:47	ga_ls8c_ard_3-1-0_092086_2020-10-13_final
2020-10-13 09:34:11	ga_ls8c_ard_3-1-0_092087_2020-10-13_final
2020-10-13 09:34:35	ga_ls8c_ard_3-1-0_092088_2020-10-13_final
2020-10-13 09:34:59	ga_ls8c_ard_3-1-0_092089_2020-10-13_final
2020-10-16 09:58:42	ga_ls8c_ard_3-1-0_097071_2020-10-16_final
2020-10-16 10:01:06	ga_ls8c_ard_3-1-0_097077_2020-10-16_final
2020-10-16 10:03:05	ga_ls8c_ard_3-1-0_097082_2020-10-16_final
2020-10-16 10:03:29	ga_ls8c_ard_3-1-0_097083_2020-10-16_final
2020-10-16 10:03:53	ga_ls8c_ard_3-1-0_097084_2020-10-16_final
2020-10-16 10:04:17	ga_ls8c_ard_3-1-0_097085_2020-10-16_final
2020-10-20 09:32:23	ga_ls8c_ard_3-1-0_093067_2020-10-20_final
2020-10-20 09:36:22	ga_ls8c_ard_3-1-0_093077_2020-10-20_final
2020-10-20 09:37:10	ga_ls8c_ard_3-1-0_093079_2020-10-20_final
2020-10-20 09:37:34	ga_ls8c_ard_3-1-0_093080_2020-10-20_final
2020-10-21 10:18:02	ga_ls8c_ard_3-1-0_100073_2020-10-21_final
2020-10-23 10:03:41	ga_ls8c_ard_3-1-0_098068_2020-10-23_final
2020-10-23 10:04:05	ga_ls8c_ard_3-1-0_098069_2020-10-23_final
2020-10-23 10:04:29	ga_ls8c_ard_3-1-0_098070_2020-10-23_final
2020-10-23 10:05:41	ga_ls8c_ard_3-1-0_098073_2020-10-23_final
2020-10-23 10:06:05	ga_ls8c_ard_3-1-0_098074_2020-10-23_final
2020-10-23 10:06:28	ga_ls8c_ard_3-1-0_098075_2020-10-23_final
2020-10-23 10:06:52	ga_ls8c_ard_3-1-0_098076_2020-10-23_final
2020-10-24 10:46:33	ga_ls8c_ard_3-1-0_105067_2020-10-24_final
2020-10-24 10:47:20	ga_ls8c_ard_3-1-0_105069_2020-10-24_final
2020-10-24 10:48:08	ga_ls8c_ard_3-1-0_105071_2020-10-24_final
2020-10-24 10:48:32	ga_ls8c_ard_3-1-0_105072_2020-10-24_final
2020-10-24 10:49:20	ga_ls8c_ard_3-1-0_105074_2020-10-24_final
2020-10-24 10:50:08	ga_ls8c_ard_3-1-0_105076_2020-10-24_final
2020-10-24 10:50:56	ga_ls8c_ard_3-1-0_105078_2020-10-24_final
2020-10-24 10:51:44	ga_ls8c_ard_3-1-0_105080_2020-10-24_final
2020-10-24 10:52:08	ga_ls8c_ard_3-1-0_105081_2020-10-24_final
2020-10-25 09:51:43	ga_ls8c_ard_3-1-0_096069_2020-10-25_final
2020-10-25 09:52:07	ga_ls8c_ard_3-1-0_096070_2020-10-25_final
2020-10-25 09:53:19	ga_ls8c_ard_3-1-0_096073_2020-10-25_final
2020-10-25 09:53:43	ga_ls8c_ard_3-1-0_096074_2020-10-25_final
2020-10-25 09:54:55	ga_ls8c_ard_3-1-0_096077_2020-10-25_final
2020-10-25 09:55:19	ga_ls8c_ard_3-1-0_096078_2020-10-25_final
2020-10-25 09:55:42	ga_ls8c_ard_3-1-0_096079_2020-10-25_final
2020-10-25 09:56:06	ga_ls8c_ard_3-1-0_096080_2020-10-25_final
2020-10-25 09:56:30	ga_ls8c_ard_3-1-0_096081_2020-10-25_final
2020-10-25 09:56:54	ga_ls8c_ard_3-1-0_096082_2020-10-25_final
2020-10-25 09:57:18	ga_ls8c_ard_3-1-0_096083_2020-10-25_final
2020-10-25 09:57:42	ga_ls8c_ard_3-1-0_096084_2020-10-25_final
2020-10-25 09:58:06	ga_ls8c_ard_3-1-0_096085_2020-10-25_final
2020-10-25 09:58:54	ga_ls8c_ard_3-1-0_096087_2020-10-25_final
2020-10-26 10:34:11	ga_ls8c_ard_3-1-0_103067_2020-10-26_final
2020-10-26 10:36:10	ga_ls8c_ard_3-1-0_103072_2020-10-26_final
2020-10-26 10:36:34	ga_ls8c_ard_3-1-0_103073_2020-10-26_final
2020-10-26 10:37:46	ga_ls8c_ard_3-1-0_103076_2020-10-26_final
2020-10-26 10:38:34	ga_ls8c_ard_3-1-0_103078_2020-10-26_final
2020-10-26 10:38:58	ga_ls8c_ard_3-1-0_103079_2020-10-26_final
2020-10-26 10:39:22	ga_ls8c_ard_3-1-0_103080_2020-10-26_final
2020-10-26 10:40:10	ga_ls8c_ard_3-1-0_103082_2020-10-26_final
2020-10-27 09:40:33	ga_ls8c_ard_3-1-0_094072_2020-10-27_final
2020-10-27 09:40:57	ga_ls8c_ard_3-1-0_094073_2020-10-27_final
2020-10-27 09:41:21	ga_ls8c_ard_3-1-0_094074_2020-10-27_final
2020-10-27 09:41:45	ga_ls8c_ard_3-1-0_094075_2020-10-27_final
2020-10-27 09:42:09	ga_ls8c_ard_3-1-0_094076_2020-10-27_final
2020-10-27 09:42:33	ga_ls8c_ard_3-1-0_094077_2020-10-27_final
2020-10-27 09:43:21	ga_ls8c_ard_3-1-0_094079_2020-10-27_final
2020-10-27 11:17:26	ga_ls8c_ard_3-1-0_110067_2020-10-27_final
2020-10-28 10:22:37	ga_ls8c_ard_3-1-0_101069_2020-10-28_final
2020-10-28 10:23:49	ga_ls8c_ard_3-1-0_101072_2020-10-28_final
2020-10-28 10:24:13	ga_ls8c_ard_3-1-0_101073_2020-10-28_final
2020-10-28 10:25:48	ga_ls8c_ard_3-1-0_101077_2020-10-28_final
2020-10-28 10:27:48	ga_ls8c_ard_3-1-0_101082_2020-10-28_final
2020-10-28 10:28:36	ga_ls8c_ard_3-1-0_101084_2020-10-28_final
2020-10-29 09:33:46	ga_ls8c_ard_3-1-0_092086_2020-10-29_final
2020-10-29 09:34:10	ga_ls8c_ard_3-1-0_092087_2020-10-29_final
2020-10-29 09:34:58	ga_ls8c_ard_3-1-0_092089_2020-10-29_final
2020-10-29 09:35:22	ga_ls8c_ard_3-1-0_092090_2020-10-29_final
2020-10-29 11:05:05	ga_ls8c_ard_3-1-0_108067_2020-10-29_final
2020-10-29 11:05:52	ga_ls8c_ard_3-1-0_108069_2020-10-29_final
2020-10-29 11:07:04	ga_ls8c_ard_3-1-0_108072_2020-10-29_final
2020-10-29 11:07:28	ga_ls8c_ard_3-1-0_108073_2020-10-29_final
2020-10-29 11:08:40	ga_ls8c_ard_3-1-0_108076_2020-10-29_final
2020-10-29 11:09:28	ga_ls8c_ard_3-1-0_108078_2020-10-29_final
2020-10-29 11:10:40	ga_ls8c_ard_3-1-0_108081_2020-10-29_final
2020-10-29 11:11:52	ga_ls8c_ard_3-1-0_108084_2020-10-29_final
2020-10-30 10:11:27	ga_ls8c_ard_3-1-0_099072_2020-10-30_final
2020-10-30 10:11:51	ga_ls8c_ard_3-1-0_099073_2020-10-30_final
2020-10-30 10:12:15	ga_ls8c_ard_3-1-0_099074_2020-10-30_final
2020-10-30 10:13:02	ga_ls8c_ard_3-1-0_099076_2020-10-30_final
2020-10-30 10:13:26	ga_ls8c_ard_3-1-0_099077_2020-10-30_final
2020-10-30 10:13:50	ga_ls8c_ard_3-1-0_099078_2020-10-30_final
2020-10-30 10:16:14	ga_ls8c_ard_3-1-0_099084_2020-10-30_final
2020-10-31 09:20:13	ga_ls8c_ard_3-1-0_090083_2020-10-30_final
2020-10-31 09:21:48	ga_ls8c_ard_3-1-0_090087_2020-10-30_final
2020-10-31 09:22:36	ga_ls8c_ard_3-1-0_090089_2020-10-30_final
2020-10-31 09:23:00	ga_ls8c_ard_3-1-0_090090_2020-10-30_final
2020-10-31 09:23:24	ga_ls8c_ard_3-1-0_090091_2020-10-30_final
2020-10-31 10:52:43	ga_ls8c_ard_3-1-0_106067_2020-10-31_final
2020-10-31 10:53:07	ga_ls8c_ard_3-1-0_106068_2020-10-31_final
2020-10-31 10:53:30	ga_ls8c_ard_3-1-0_106069_2020-10-31_final
2020-10-31 10:53:54	ga_ls8c_ard_3-1-0_106070_2020-10-31_final
2020-10-31 10:55:06	ga_ls8c_ard_3-1-0_106073_2020-10-31_final
2020-10-31 10:55:30	ga_ls8c_ard_3-1-0_106074_2020-10-31_final
2020-10-31 10:56:42	ga_ls8c_ard_3-1-0_106077_2020-10-31_final
2020-10-31 10:57:06	ga_ls8c_ard_3-1-0_106078_2020-10-31_final
2020-10-31 10:58:18	ga_ls8c_ard_3-1-0_106081_2020-10-31_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