Search ga_ls8c_ard_3 across May 2024

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
2024-05-09 10:18:35	ga_ls8c_ard_3-2-1_100077_2024-05-09_final
2024-05-09 10:18:59	ga_ls8c_ard_3-2-1_100078_2024-05-09_final
2024-05-09 10:19:23	ga_ls8c_ard_3-2-1_100079_2024-05-09_final
2024-05-09 10:19:46	ga_ls8c_ard_3-2-1_100080_2024-05-09_final
2024-05-09 10:20:10	ga_ls8c_ard_3-2-1_100081_2024-05-09_final
2024-05-09 10:20:34	ga_ls8c_ard_3-2-1_100082_2024-05-09_final
2024-05-09 10:20:58	ga_ls8c_ard_3-2-1_100083_2024-05-09_final
2024-05-09 10:21:22	ga_ls8c_ard_3-2-1_100084_2024-05-09_final
2024-05-09 11:57:04	ga_ls8c_ard_3-2-1_116076_2024-05-09_final
2024-05-09 11:57:28	ga_ls8c_ard_3-2-1_116077_2024-05-09_final
2024-05-09 11:57:52	ga_ls8c_ard_3-2-1_116078_2024-05-09_final
2024-05-10 09:20:57	ga_ls8c_ard_3-2-1_091072_2024-05-09_final
2024-05-10 09:21:21	ga_ls8c_ard_3-2-1_091073_2024-05-09_final
2024-05-10 09:21:45	ga_ls8c_ard_3-2-1_091074_2024-05-09_final
2024-05-10 09:22:09	ga_ls8c_ard_3-2-1_091075_2024-05-09_final
2024-05-10 09:22:33	ga_ls8c_ard_3-2-1_091076_2024-05-09_final
2024-05-10 09:22:57	ga_ls8c_ard_3-2-1_091077_2024-05-09_final
2024-05-10 09:23:21	ga_ls8c_ard_3-2-1_091078_2024-05-09_final
2024-05-10 09:23:44	ga_ls8c_ard_3-2-1_091079_2024-05-09_final
2024-05-10 09:24:08	ga_ls8c_ard_3-2-1_091080_2024-05-09_final
2024-05-10 09:24:32	ga_ls8c_ard_3-2-1_091081_2024-05-09_final
2024-05-10 09:24:56	ga_ls8c_ard_3-2-1_091082_2024-05-09_final
2024-05-10 09:25:20	ga_ls8c_ard_3-2-1_091083_2024-05-09_final
2024-05-10 09:25:44	ga_ls8c_ard_3-2-1_091084_2024-05-09_final
2024-05-10 09:26:08	ga_ls8c_ard_3-2-1_091085_2024-05-09_final
2024-05-10 09:26:32	ga_ls8c_ard_3-2-1_091086_2024-05-09_final
2024-05-10 09:26:56	ga_ls8c_ard_3-2-1_091087_2024-05-09_final
2024-05-10 09:27:20	ga_ls8c_ard_3-2-1_091088_2024-05-09_final
2024-05-10 09:27:44	ga_ls8c_ard_3-2-1_091089_2024-05-09_final
2024-05-10 09:28:08	ga_ls8c_ard_3-2-1_091090_2024-05-09_final
2024-05-10 10:59:02	ga_ls8c_ard_3-2-1_107070_2024-05-10_final
2024-05-10 10:59:26	ga_ls8c_ard_3-2-1_107071_2024-05-10_final
2024-05-10 10:59:50	ga_ls8c_ard_3-2-1_107072_2024-05-10_final
2024-05-10 11:00:14	ga_ls8c_ard_3-2-1_107073_2024-05-10_final
2024-05-10 11:00:38	ga_ls8c_ard_3-2-1_107074_2024-05-10_final
2024-05-10 11:01:02	ga_ls8c_ard_3-2-1_107075_2024-05-10_final
2024-05-10 11:01:26	ga_ls8c_ard_3-2-1_107076_2024-05-10_final
2024-05-10 11:01:50	ga_ls8c_ard_3-2-1_107077_2024-05-10_final
2024-05-10 11:02:13	ga_ls8c_ard_3-2-1_107078_2024-05-10_final
2024-05-10 11:02:37	ga_ls8c_ard_3-2-1_107079_2024-05-10_final
2024-05-10 11:03:01	ga_ls8c_ard_3-2-1_107080_2024-05-10_final
2024-05-10 11:03:25	ga_ls8c_ard_3-2-1_107081_2024-05-10_final
2024-05-10 11:03:49	ga_ls8c_ard_3-2-1_107082_2024-05-10_final
2024-05-10 11:04:13	ga_ls8c_ard_3-2-1_107083_2024-05-10_final
2024-05-10 11:04:37	ga_ls8c_ard_3-2-1_107084_2024-05-10_final
2024-05-10 12:36:43	ga_ls8c_ard_3-2-1_123067_2024-05-10_final
2024-05-11 10:02:12	ga_ls8c_ard_3-2-1_098067_2024-05-11_nrt
2024-05-11 10:02:36	ga_ls8c_ard_3-2-1_098068_2024-05-11_final
2024-05-11 10:03:00	ga_ls8c_ard_3-2-1_098069_2024-05-11_nrt
2024-05-11 10:03:24	ga_ls8c_ard_3-2-1_098070_2024-05-11_nrt
2024-05-11 10:03:48	ga_ls8c_ard_3-2-1_098071_2024-05-11_nrt
2024-05-12 10:50:37	ga_ls8c_ard_3-2-1_105080_2024-05-12_final
2024-05-12 10:51:01	ga_ls8c_ard_3-2-1_105081_2024-05-12_final
2024-05-12 10:51:25	ga_ls8c_ard_3-2-1_105082_2024-05-12_final
2024-05-12 10:51:49	ga_ls8c_ard_3-2-1_105083_2024-05-12_final
2024-05-13 09:50:59	ga_ls8c_ard_3-2-1_096070_2024-05-13_final
2024-05-13 09:51:23	ga_ls8c_ard_3-2-1_096071_2024-05-13_final
2024-05-13 09:51:47	ga_ls8c_ard_3-2-1_096072_2024-05-13_final
2024-05-13 09:52:11	ga_ls8c_ard_3-2-1_096073_2024-05-13_final
2024-05-13 09:52:35	ga_ls8c_ard_3-2-1_096074_2024-05-13_final
2024-05-13 09:52:59	ga_ls8c_ard_3-2-1_096075_2024-05-13_final
2024-05-13 09:53:23	ga_ls8c_ard_3-2-1_096076_2024-05-13_final
2024-05-13 09:53:47	ga_ls8c_ard_3-2-1_096077_2024-05-13_final
2024-05-13 09:54:11	ga_ls8c_ard_3-2-1_096078_2024-05-13_final
2024-05-13 09:54:35	ga_ls8c_ard_3-2-1_096079_2024-05-13_final
2024-05-13 09:54:58	ga_ls8c_ard_3-2-1_096080_2024-05-13_final
2024-05-13 09:55:22	ga_ls8c_ard_3-2-1_096081_2024-05-13_final
2024-05-13 09:55:46	ga_ls8c_ard_3-2-1_096082_2024-05-13_final
2024-05-13 09:56:10	ga_ls8c_ard_3-2-1_096083_2024-05-13_final
2024-05-13 09:56:34	ga_ls8c_ard_3-2-1_096084_2024-05-13_final
2024-05-13 09:56:58	ga_ls8c_ard_3-2-1_096085_2024-05-13_final
2024-05-13 09:57:22	ga_ls8c_ard_3-2-1_096086_2024-05-13_final
2024-05-13 11:30:40	ga_ls8c_ard_3-2-1_112072_2024-05-13_final
2024-05-13 11:31:04	ga_ls8c_ard_3-2-1_112073_2024-05-13_final
2024-05-13 11:31:28	ga_ls8c_ard_3-2-1_112074_2024-05-13_final
2024-05-13 11:31:52	ga_ls8c_ard_3-2-1_112075_2024-05-13_final
2024-05-13 11:32:16	ga_ls8c_ard_3-2-1_112076_2024-05-13_final
2024-05-13 11:32:40	ga_ls8c_ard_3-2-1_112077_2024-05-13_final
2024-05-13 11:33:03	ga_ls8c_ard_3-2-1_112078_2024-05-13_final
2024-05-13 11:33:27	ga_ls8c_ard_3-2-1_112079_2024-05-13_final
2024-05-13 11:33:51	ga_ls8c_ard_3-2-1_112080_2024-05-13_final
2024-05-13 11:34:15	ga_ls8c_ard_3-2-1_112081_2024-05-13_final
2024-05-13 11:34:39	ga_ls8c_ard_3-2-1_112082_2024-05-13_final
2024-05-13 11:35:03	ga_ls8c_ard_3-2-1_112083_2024-05-13_final
2024-05-13 11:35:27	ga_ls8c_ard_3-2-1_112084_2024-05-13_final
2024-05-14 10:33:25	ga_ls8c_ard_3-2-1_103068_2024-05-14_final
2024-05-14 10:33:49	ga_ls8c_ard_3-2-1_103069_2024-05-14_final
2024-05-14 10:34:13	ga_ls8c_ard_3-2-1_103070_2024-05-14_nrt
2024-05-14 10:34:37	ga_ls8c_ard_3-2-1_103071_2024-05-14_nrt
2024-05-14 10:35:01	ga_ls8c_ard_3-2-1_103072_2024-05-14_final
2024-05-14 10:35:25	ga_ls8c_ard_3-2-1_103073_2024-05-14_final
2024-05-14 10:35:49	ga_ls8c_ard_3-2-1_103074_2024-05-14_final
2024-05-14 10:36:13	ga_ls8c_ard_3-2-1_103075_2024-05-14_final
2024-05-14 10:36:36	ga_ls8c_ard_3-2-1_103076_2024-05-14_final
2024-05-14 10:37:00	ga_ls8c_ard_3-2-1_103077_2024-05-14_final
2024-05-14 10:37:24	ga_ls8c_ard_3-2-1_103078_2024-05-14_nrt
2024-05-14 10:37:48	ga_ls8c_ard_3-2-1_103079_2024-05-14_nrt
2024-05-14 10:38:12	ga_ls8c_ard_3-2-1_103080_2024-05-14_final
2024-05-14 10:38:36	ga_ls8c_ard_3-2-1_103081_2024-05-14_final
2024-05-14 10:39:00	ga_ls8c_ard_3-2-1_103082_2024-05-14_nrt

Return to ga_ls8c_ard_3 across May 2024 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

2024

May

All days