Search ga_ls8c_ard_3 across 2021

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
2021-02-07 09:48:54	ga_ls8c_ard_3-2-0_095078_2021-02-07_final
2021-02-07 09:49:18	ga_ls8c_ard_3-2-0_095079_2021-02-07_final
2021-02-07 09:49:42	ga_ls8c_ard_3-2-0_095080_2021-02-07_final
2021-02-07 09:50:06	ga_ls8c_ard_3-2-0_095081_2021-02-07_final
2021-02-07 09:50:30	ga_ls8c_ard_3-2-0_095082_2021-02-07_final
2021-02-07 09:50:54	ga_ls8c_ard_3-2-0_095083_2021-02-07_final
2021-02-07 09:51:18	ga_ls8c_ard_3-2-0_095084_2021-02-07_final
2021-02-07 09:51:42	ga_ls8c_ard_3-2-0_095085_2021-02-07_final
2021-02-07 09:52:06	ga_ls8c_ard_3-2-0_095086_2021-02-07_final
2021-02-07 09:52:30	ga_ls8c_ard_3-2-0_095087_2021-02-07_final
2021-02-07 09:52:54	ga_ls8c_ard_3-2-0_095088_2021-02-07_final
2021-02-07 11:23:24	ga_ls8c_ard_3-2-0_111067_2021-02-07_final
2021-02-07 11:23:48	ga_ls8c_ard_3-2-0_111068_2021-02-07_final
2021-02-07 11:24:12	ga_ls8c_ard_3-2-0_111069_2021-02-07_final
2021-02-07 11:24:36	ga_ls8c_ard_3-2-0_111070_2021-02-07_final
2021-02-07 11:25:00	ga_ls8c_ard_3-2-0_111071_2021-02-07_final
2021-02-07 11:25:24	ga_ls8c_ard_3-2-0_111072_2021-02-07_final
2021-02-07 11:25:48	ga_ls8c_ard_3-2-0_111073_2021-02-07_final
2021-02-07 11:26:12	ga_ls8c_ard_3-2-0_111074_2021-02-07_final
2021-02-07 11:26:36	ga_ls8c_ard_3-2-0_111075_2021-02-07_final
2021-02-07 11:27:00	ga_ls8c_ard_3-2-0_111076_2021-02-07_final
2021-02-07 11:27:24	ga_ls8c_ard_3-2-0_111077_2021-02-07_final
2021-02-07 11:27:48	ga_ls8c_ard_3-2-0_111078_2021-02-07_final
2021-02-07 11:28:11	ga_ls8c_ard_3-2-0_111079_2021-02-07_final
2021-02-07 11:28:35	ga_ls8c_ard_3-2-0_111080_2021-02-07_final
2021-02-07 11:28:59	ga_ls8c_ard_3-2-0_111081_2021-02-07_final
2021-02-07 11:29:23	ga_ls8c_ard_3-2-0_111082_2021-02-07_final
2021-02-07 11:29:47	ga_ls8c_ard_3-2-0_111083_2021-02-07_final
2021-02-07 11:30:11	ga_ls8c_ard_3-2-0_111084_2021-02-07_final
2021-02-07 11:30:35	ga_ls8c_ard_3-2-0_111085_2021-02-07_final
2021-02-08 10:27:47	ga_ls8c_ard_3-2-0_102067_2021-02-08_final
2021-02-08 10:28:11	ga_ls8c_ard_3-2-0_102068_2021-02-08_final
2021-02-08 10:28:35	ga_ls8c_ard_3-2-0_102069_2021-02-08_final
2021-02-08 10:28:58	ga_ls8c_ard_3-2-0_102070_2021-02-08_final
2021-02-08 10:29:22	ga_ls8c_ard_3-2-0_102071_2021-02-08_final
2021-02-08 10:29:46	ga_ls8c_ard_3-2-0_102072_2021-02-08_final
2021-02-08 10:30:10	ga_ls8c_ard_3-2-0_102073_2021-02-08_final
2021-02-08 10:30:34	ga_ls8c_ard_3-2-0_102074_2021-02-08_final
2021-02-08 10:30:58	ga_ls8c_ard_3-2-0_102075_2021-02-08_final
2021-02-08 10:31:22	ga_ls8c_ard_3-2-0_102076_2021-02-08_final
2021-02-08 10:31:46	ga_ls8c_ard_3-2-0_102077_2021-02-08_final
2021-02-08 10:32:10	ga_ls8c_ard_3-2-0_102078_2021-02-08_final
2021-02-08 10:32:34	ga_ls8c_ard_3-2-0_102079_2021-02-08_final
2021-02-08 10:32:58	ga_ls8c_ard_3-2-0_102080_2021-02-08_final
2021-02-08 10:33:22	ga_ls8c_ard_3-2-0_102081_2021-02-08_final
2021-02-08 10:33:46	ga_ls8c_ard_3-2-0_102082_2021-02-08_final
2021-02-08 10:34:10	ga_ls8c_ard_3-2-0_102083_2021-02-08_final
2021-02-09 09:32:09	ga_ls8c_ard_3-2-0_093067_2021-02-09_final
2021-02-09 09:32:33	ga_ls8c_ard_3-2-0_093068_2021-02-09_final
2021-02-09 09:33:45	ga_ls8c_ard_3-2-0_093071_2021-02-09_final
2021-02-09 09:34:09	ga_ls8c_ard_3-2-0_093072_2021-02-09_final
2021-02-09 09:34:33	ga_ls8c_ard_3-2-0_093073_2021-02-09_final
2021-02-09 09:34:57	ga_ls8c_ard_3-2-0_093074_2021-02-09_final
2021-02-09 09:35:21	ga_ls8c_ard_3-2-0_093075_2021-02-09_final
2021-02-09 09:35:45	ga_ls8c_ard_3-2-0_093076_2021-02-09_final
2021-02-09 09:36:08	ga_ls8c_ard_3-2-0_093077_2021-02-09_final
2021-02-09 09:36:32	ga_ls8c_ard_3-2-0_093078_2021-02-09_final
2021-02-09 09:36:56	ga_ls8c_ard_3-2-0_093079_2021-02-09_final
2021-02-09 09:37:20	ga_ls8c_ard_3-2-0_093080_2021-02-09_final
2021-02-09 09:37:44	ga_ls8c_ard_3-2-0_093081_2021-02-09_final
2021-02-09 09:38:08	ga_ls8c_ard_3-2-0_093082_2021-02-09_final
2021-02-09 09:38:32	ga_ls8c_ard_3-2-0_093083_2021-02-09_final
2021-02-09 09:38:56	ga_ls8c_ard_3-2-0_093084_2021-02-09_final
2021-02-09 09:39:20	ga_ls8c_ard_3-2-0_093085_2021-02-09_final
2021-02-09 09:39:44	ga_ls8c_ard_3-2-0_093086_2021-02-09_final
2021-02-09 09:40:08	ga_ls8c_ard_3-2-0_093087_2021-02-09_final
2021-02-09 09:40:32	ga_ls8c_ard_3-2-0_093088_2021-02-09_final
2021-02-12 10:03:02	ga_ls8c_ard_3-2-0_098067_2021-02-12_final
2021-02-12 10:03:26	ga_ls8c_ard_3-2-0_098068_2021-02-12_final
2021-02-12 10:03:50	ga_ls8c_ard_3-2-0_098069_2021-02-12_final
2021-02-12 10:04:38	ga_ls8c_ard_3-2-0_098071_2021-02-12_final
2021-02-12 10:05:02	ga_ls8c_ard_3-2-0_098072_2021-02-12_final
2021-02-12 10:05:50	ga_ls8c_ard_3-2-0_098074_2021-02-12_final
2021-02-12 10:06:14	ga_ls8c_ard_3-2-0_098075_2021-02-12_final
2021-02-12 10:09:49	ga_ls8c_ard_3-2-0_098084_2021-02-12_final
2021-02-13 09:11:48	ga_ls8c_ard_3-2-0_089078_2021-02-12_final
2021-02-13 09:12:12	ga_ls8c_ard_3-2-0_089079_2021-02-12_final
2021-02-13 09:12:36	ga_ls8c_ard_3-2-0_089080_2021-02-12_final
2021-02-13 09:13:00	ga_ls8c_ard_3-2-0_089081_2021-02-12_final
2021-02-13 09:14:12	ga_ls8c_ard_3-2-0_089084_2021-02-12_final
2021-02-13 09:14:36	ga_ls8c_ard_3-2-0_089085_2021-02-12_final
2021-02-13 09:15:48	ga_ls8c_ard_3-2-0_089088_2021-02-12_final
2021-02-13 09:16:12	ga_ls8c_ard_3-2-0_089089_2021-02-12_final
2021-02-13 09:16:36	ga_ls8c_ard_3-2-0_089090_2021-02-12_final
2021-02-13 10:46:18	ga_ls8c_ard_3-2-0_105067_2021-02-13_final
2021-02-13 10:46:42	ga_ls8c_ard_3-2-0_105068_2021-02-13_final
2021-02-13 10:47:06	ga_ls8c_ard_3-2-0_105069_2021-02-13_final
2021-02-13 10:47:30	ga_ls8c_ard_3-2-0_105070_2021-02-13_final
2021-02-13 10:47:54	ga_ls8c_ard_3-2-0_105071_2021-02-13_final
2021-02-13 10:48:18	ga_ls8c_ard_3-2-0_105072_2021-02-13_final
2021-02-13 10:48:41	ga_ls8c_ard_3-2-0_105073_2021-02-13_final
2021-02-13 10:49:05	ga_ls8c_ard_3-2-0_105074_2021-02-13_final
2021-02-13 10:49:29	ga_ls8c_ard_3-2-0_105075_2021-02-13_final
2021-02-13 10:49:53	ga_ls8c_ard_3-2-0_105076_2021-02-13_final
2021-02-13 10:50:17	ga_ls8c_ard_3-2-0_105077_2021-02-13_final
2021-02-13 10:50:41	ga_ls8c_ard_3-2-0_105078_2021-02-13_final
2021-02-13 10:51:05	ga_ls8c_ard_3-2-0_105079_2021-02-13_final
2021-02-13 10:51:29	ga_ls8c_ard_3-2-0_105080_2021-02-13_final
2021-02-13 10:51:53	ga_ls8c_ard_3-2-0_105081_2021-02-13_final
2021-02-13 10:52:17	ga_ls8c_ard_3-2-0_105082_2021-02-13_final

Return to ga_ls8c_ard_3 across 2021 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

2021

All months