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
2015-03-15 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
2015-03-16 10:02:33	ga_ls8c_ard_3-0-0_098067_2015-03-16_final
2015-03-16 10:02:56	ga_ls8c_ard_3-0-0_098068_2015-03-16_final
2015-03-16 10:03:20	ga_ls8c_ard_3-0-0_098069_2015-03-16_final
2015-03-16 10:03:44	ga_ls8c_ard_3-0-0_098070_2015-03-16_final
2015-03-16 10:04:08	ga_ls8c_ard_3-1-0_098071_2015-03-16_final
2015-03-16 10:04:32	ga_ls8c_ard_3-0-0_098072_2015-03-16_final
2015-03-16 10:04:56	ga_ls8c_ard_3-0-0_098073_2015-03-16_final
2015-03-16 10:05:20	ga_ls8c_ard_3-0-0_098074_2015-03-16_final
2015-03-16 10:05:44	ga_ls8c_ard_3-0-0_098075_2015-03-16_final
2015-03-16 10:06:08	ga_ls8c_ard_3-0-0_098076_2015-03-16_final
2015-03-16 10:06:32	ga_ls8c_ard_3-0-0_098077_2015-03-16_final
2015-03-16 10:06:56	ga_ls8c_ard_3-0-0_098078_2015-03-16_final
2015-03-16 10:07:20	ga_ls8c_ard_3-0-0_098079_2015-03-16_final
2015-03-16 10:07:44	ga_ls8c_ard_3-0-0_098080_2015-03-16_final
2015-03-16 10:08:08	ga_ls8c_ard_3-0-0_098081_2015-03-16_final
2015-03-16 10:08:32	ga_ls8c_ard_3-0-0_098082_2015-03-16_final
2015-03-16 10:08:56	ga_ls8c_ard_3-0-0_098083_2015-03-16_final
2015-03-16 10:09:20	ga_ls8c_ard_3-0-0_098084_2015-03-16_final
2015-03-16 10:09:43	ga_ls8c_ard_3-0-0_098085_2015-03-16_final
2015-03-16 11:41:26	ga_ls8c_ard_3-0-0_114067_2015-03-16_final
2015-03-16 11:44:13	ga_ls8c_ard_3-0-0_114074_2015-03-16_final
2015-03-16 11:44:37	ga_ls8c_ard_3-0-0_114075_2015-03-16_final
2015-03-16 11:45:01	ga_ls8c_ard_3-0-0_114076_2015-03-16_final
2015-03-16 11:45:25	ga_ls8c_ard_3-0-0_114077_2015-03-16_final
2015-03-16 11:45:49	ga_ls8c_ard_3-0-0_114078_2015-03-16_final
2015-03-16 11:46:13	ga_ls8c_ard_3-0-0_114079_2015-03-16_final
2015-03-16 11:46:37	ga_ls8c_ard_3-0-0_114080_2015-03-16_final
2015-03-16 11:47:01	ga_ls8c_ard_3-0-0_114081_2015-03-16_final
2015-03-17 09:09:43	ga_ls8c_ard_3-0-0_089074_2015-03-16_final
2015-03-17 09:10:07	ga_ls8c_ard_3-0-0_089075_2015-03-16_final
2015-03-17 09:10:31	ga_ls8c_ard_3-0-0_089076_2015-03-16_final
2015-03-17 09:10:54	ga_ls8c_ard_3-0-0_089077_2015-03-16_final
2015-03-17 09:11:18	ga_ls8c_ard_3-0-0_089078_2015-03-16_final
2015-03-17 09:11:42	ga_ls8c_ard_3-0-0_089079_2015-03-16_final
2015-03-17 09:12:06	ga_ls8c_ard_3-0-0_089080_2015-03-16_final
2015-03-17 09:12:30	ga_ls8c_ard_3-0-0_089081_2015-03-16_final
2015-03-17 09:12:54	ga_ls8c_ard_3-0-0_089082_2015-03-16_final
2015-03-17 09:13:18	ga_ls8c_ard_3-0-0_089083_2015-03-16_final
2015-03-17 09:13:42	ga_ls8c_ard_3-0-0_089084_2015-03-16_final
2015-03-17 09:14:06	ga_ls8c_ard_3-0-0_089085_2015-03-16_final
2015-03-17 09:14:30	ga_ls8c_ard_3-0-0_089086_2015-03-16_final
2015-03-17 09:15:42	ga_ls8c_ard_3-0-0_089089_2015-03-16_final
2015-03-17 09:16:06	ga_ls8c_ard_3-0-0_089090_2015-03-16_final
2015-03-18 09:50:11	ga_ls8c_ard_3-0-0_096067_2015-03-18_final
2015-03-18 09:51:22	ga_ls8c_ard_3-0-0_096070_2015-03-18_final
2015-03-18 09:51:46	ga_ls8c_ard_3-0-0_096071_2015-03-18_final
2015-03-18 09:52:10	ga_ls8c_ard_3-0-0_096072_2015-03-18_final
2015-03-18 09:52:34	ga_ls8c_ard_3-0-0_096073_2015-03-18_final
2015-03-18 09:52:58	ga_ls8c_ard_3-0-0_096074_2015-03-18_final
2015-03-18 09:53:22	ga_ls8c_ard_3-0-0_096075_2015-03-18_final
2015-03-18 09:53:46	ga_ls8c_ard_3-0-0_096076_2015-03-18_final
2015-03-18 09:54:10	ga_ls8c_ard_3-0-0_096077_2015-03-18_final
2015-03-18 09:54:34	ga_ls8c_ard_3-0-0_096078_2015-03-18_final
2015-03-18 09:54:58	ga_ls8c_ard_3-0-0_096079_2015-03-18_final
2015-03-18 09:55:22	ga_ls8c_ard_3-0-0_096080_2015-03-18_final
2015-03-18 09:55:46	ga_ls8c_ard_3-0-0_096081_2015-03-18_final
2015-03-18 09:56:10	ga_ls8c_ard_3-0-0_096082_2015-03-18_final
2015-03-18 09:56:34	ga_ls8c_ard_3-0-0_096083_2015-03-18_final
2015-03-18 09:56:58	ga_ls8c_ard_3-0-0_096084_2015-03-18_final
2015-03-18 09:57:21	ga_ls8c_ard_3-0-0_096085_2015-03-18_final
2015-03-18 09:57:45	ga_ls8c_ard_3-0-0_096086_2015-03-18_final
2015-03-18 09:58:09	ga_ls8c_ard_3-0-0_096087_2015-03-18_final
2015-03-19 10:33:50	ga_ls8c_ard_3-0-0_103068_2015-03-19_final
2015-03-19 10:34:14	ga_ls8c_ard_3-0-0_103069_2015-03-19_final
2015-03-19 10:34:38	ga_ls8c_ard_3-0-0_103070_2015-03-19_final
2015-03-19 10:35:02	ga_ls8c_ard_3-0-0_103071_2015-03-19_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2015

March

All days