Search ga_ls8c_ard_3 across March 2015

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
2015-03-13 09:33:14	ga_ls8c_ard_3-0-0_093071_2015-03-13_final
2015-03-13 09:33:38	ga_ls8c_ard_3-0-0_093072_2015-03-13_final
2015-03-13 09:34:02	ga_ls8c_ard_3-0-0_093073_2015-03-13_final
2015-03-13 09:34:26	ga_ls8c_ard_3-0-0_093074_2015-03-13_final
2015-03-13 09:34:50	ga_ls8c_ard_3-0-0_093075_2015-03-13_final
2015-03-13 09:35:14	ga_ls8c_ard_3-0-0_093076_2015-03-13_final
2015-03-13 09:35:38	ga_ls8c_ard_3-0-0_093077_2015-03-13_final
2015-03-13 09:36:02	ga_ls8c_ard_3-0-0_093078_2015-03-13_final
2015-03-13 09:36:26	ga_ls8c_ard_3-0-0_093079_2015-03-13_final
2015-03-13 09:36:50	ga_ls8c_ard_3-0-0_093080_2015-03-13_final
2015-03-13 09:37:14	ga_ls8c_ard_3-0-0_093081_2015-03-13_final
2015-03-13 09:37:38	ga_ls8c_ard_3-0-0_093082_2015-03-13_final
2015-03-13 09:38:02	ga_ls8c_ard_3-0-0_093083_2015-03-13_final
2015-03-13 09:38:26	ga_ls8c_ard_3-0-0_093084_2015-03-13_final
2015-03-13 09:38:50	ga_ls8c_ard_3-0-0_093085_2015-03-13_final
2015-03-13 09:39:14	ga_ls8c_ard_3-0-0_093086_2015-03-13_final
2015-03-13 09:39:38	ga_ls8c_ard_3-0-0_093087_2015-03-13_final
2015-03-13 09:40:02	ga_ls8c_ard_3-0-0_093088_2015-03-13_final
2015-03-13 11:11:20	ga_ls8c_ard_3-0-0_109069_2015-03-13_final
2015-03-13 11:11:44	ga_ls8c_ard_3-0-0_109070_2015-03-13_final
2015-03-13 11:12:07	ga_ls8c_ard_3-0-0_109071_2015-03-13_final
2015-03-13 11:12:31	ga_ls8c_ard_3-0-0_109072_2015-03-13_final
2015-03-13 11:12:55	ga_ls8c_ard_3-0-0_109073_2015-03-13_final
2015-03-13 11:13:19	ga_ls8c_ard_3-0-0_109074_2015-03-13_final
2015-03-13 11:13:43	ga_ls8c_ard_3-0-0_109075_2015-03-13_final
2015-03-13 11:14:07	ga_ls8c_ard_3-0-0_109076_2015-03-13_final
2015-03-13 11:14:31	ga_ls8c_ard_3-0-0_109077_2015-03-13_final
2015-03-13 11:14:55	ga_ls8c_ard_3-0-0_109078_2015-03-13_final
2015-03-13 11:15:19	ga_ls8c_ard_3-0-0_109079_2015-03-13_final
2015-03-13 11:15:43	ga_ls8c_ard_3-0-0_109080_2015-03-13_final
2015-03-13 11:16:07	ga_ls8c_ard_3-0-0_109081_2015-03-13_final
2015-03-13 11:16:31	ga_ls8c_ard_3-0-0_109082_2015-03-13_final
2015-03-13 11:16:55	ga_ls8c_ard_3-0-0_109083_2015-03-13_final
2015-03-13 11:17:19	ga_ls8c_ard_3-0-0_109084_2015-03-13_final
2015-03-14 10:16:30	ga_ls8c_ard_3-0-0_100071_2015-03-14_final
2015-03-14 10:16:54	ga_ls8c_ard_3-0-0_100072_2015-03-14_final
2015-03-14 10:17:18	ga_ls8c_ard_3-0-0_100073_2015-03-14_final
2015-03-14 10:17:42	ga_ls8c_ard_3-0-0_100074_2015-03-14_final
2015-03-14 10:18:06	ga_ls8c_ard_3-0-0_100075_2015-03-14_final
2015-03-14 10:18:30	ga_ls8c_ard_3-0-0_100076_2015-03-14_final
2015-03-14 10:18:54	ga_ls8c_ard_3-0-0_100077_2015-03-14_final
2015-03-14 10:19:18	ga_ls8c_ard_3-0-0_100078_2015-03-14_final
2015-03-14 10:19:42	ga_ls8c_ard_3-0-0_100079_2015-03-14_final
2015-03-14 10:20:06	ga_ls8c_ard_3-0-0_100080_2015-03-14_final
2015-03-14 10:20:30	ga_ls8c_ard_3-0-0_100081_2015-03-14_final
2015-03-14 10:20:53	ga_ls8c_ard_3-0-0_100082_2015-03-14_final
2015-03-14 10:21:17	ga_ls8c_ard_3-0-0_100083_2015-03-14_final
2015-03-14 10:21:41	ga_ls8c_ard_3-0-0_100084_2015-03-14_final
2015-03-14 10:22:05	ga_ls8c_ard_3-0-0_100085_2015-03-14_final
2015-03-14 11:56:59	ga_ls8c_ard_3-0-0_116075_2015-03-14_final
2015-03-14 11:57:23	ga_ls8c_ard_3-0-0_116076_2015-03-14_final
2015-03-14 11:57:47	ga_ls8c_ard_3-0-0_116077_2015-03-14_final
2015-03-14 11:58:11	ga_ls8c_ard_3-0-0_116078_2015-03-14_final
2015-03-15 09:19:41	ga_ls8c_ard_3-0-0_091068_2015-03-14_final
2015-03-15 09:22:05	ga_ls8c_ard_3-0-0_091074_2015-03-14_final
2015-03-15 09:22:28	ga_ls8c_ard_3-0-0_091075_2015-03-14_final
2015-03-15 09:22:52	ga_ls8c_ard_3-0-0_091076_2015-03-14_final
2015-03-15 09:23:16	ga_ls8c_ard_3-0-0_091077_2015-03-14_final
2015-03-15 09:23:40	ga_ls8c_ard_3-0-0_091078_2015-03-14_final
2015-03-15 09:24:04	ga_ls8c_ard_3-0-0_091079_2015-03-14_final
2015-03-15 09:24:28	ga_ls8c_ard_3-0-0_091080_2015-03-14_final
2015-03-15 09:24:52	ga_ls8c_ard_3-0-0_091081_2015-03-14_final
2015-03-15 09:25:16	ga_ls8c_ard_3-0-0_091082_2015-03-14_final
2015-03-15 09:25:40	ga_ls8c_ard_3-0-0_091083_2015-03-14_final
2015-03-15 09:26:04	ga_ls8c_ard_3-0-0_091084_2015-03-14_final
2015-03-15 09:26:28	ga_ls8c_ard_3-0-0_091085_2015-03-14_final
2015-03-15 09:26:52	ga_ls8c_ard_3-0-0_091086_2015-03-14_final
2015-03-15 09:27:16	ga_ls8c_ard_3-0-0_091087_2015-03-14_final
2015-03-15 09:27:40	ga_ls8c_ard_3-0-0_091088_2015-03-14_final
2015-03-15 09:28:04	ga_ls8c_ard_3-0-0_091089_2015-03-14_final
2015-03-15 09:28:28	ga_ls8c_ard_3-0-0_091090_2015-03-14_final
2015-03-15 10:58:10	ga_ls8c_ard_3-0-0_107067_2015-03-15_final
2015-03-15 10:59:22	ga_ls8c_ard_3-0-0_107070_2015-03-15_final
2015-03-15 10:59:46	ga_ls8c_ard_3-0-0_107071_2015-03-15_final
2015-03-15 11:00:10	ga_ls8c_ard_3-0-0_107072_2015-03-15_final
2015-03-15 11:00:34	ga_ls8c_ard_3-0-0_107073_2015-03-15_final
2015-03-15 11:00:58	ga_ls8c_ard_3-0-0_107074_2015-03-15_final
2015-03-15 11:01:21	ga_ls8c_ard_3-0-0_107075_2015-03-15_final
2015-03-15 11:01:45	ga_ls8c_ard_3-0-0_107076_2015-03-15_final
2015-03-15 11:02:09	ga_ls8c_ard_3-0-0_107077_2015-03-15_final
2015-03-15 11:02:33	ga_ls8c_ard_3-0-0_107078_2015-03-15_final
2015-03-15 11:02:57	ga_ls8c_ard_3-0-0_107079_2015-03-15_final
2015-03-15 11:03:21	ga_ls8c_ard_3-0-0_107080_2015-03-15_final
2015-03-15 11:03:45	ga_ls8c_ard_3-0-0_107081_2015-03-15_final
2015-03-15 11:04:09	ga_ls8c_ard_3-1-0_107082_2015-03-15_final
2015-03-15 11:04:33	ga_ls8c_ard_3-0-0_107083_2015-03-15_final
2015-03-15 11:04:57	ga_ls8c_ard_3-0-0_107084_2015-03-15_final
2015-03-15 11:05:21	ga_ls8c_ard_3-0-0_107085_2015-03-15_final
2015-03-31 09:19:31	ga_ls8c_ard_3-0-0_091068_2015-03-30_final
2015-03-31 09:21:07	ga_ls8c_ard_3-0-0_091072_2015-03-30_final
2015-03-31 09:21:31	ga_ls8c_ard_3-0-0_091073_2015-03-30_final
2015-03-31 09:21:55	ga_ls8c_ard_3-0-0_091074_2015-03-30_final
2015-03-31 09:22:19	ga_ls8c_ard_3-0-0_091075_2015-03-30_final
2015-03-31 09:22:43	ga_ls8c_ard_3-0-0_091076_2015-03-30_final
2015-03-31 09:23:07	ga_ls8c_ard_3-0-0_091077_2015-03-30_final
2015-03-31 09:23:31	ga_ls8c_ard_3-0-0_091078_2015-03-30_final
2015-03-31 09:23:54	ga_ls8c_ard_3-0-0_091079_2015-03-30_final
2015-03-31 09:24:18	ga_ls8c_ard_3-0-0_091080_2015-03-30_final
2015-03-31 09:24:42	ga_ls8c_ard_3-0-0_091081_2015-03-30_final
2015-03-31 09:25:06	ga_ls8c_ard_3-0-0_091082_2015-03-30_final

Return to ga_ls8c_ard_3 across March 2015 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

2015

March

All days