Search ga_ls8c_ard_3 across April 2014

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
2014-04-22 09:16:35	ga_ls8c_ard_3-0-0_090075_2014-04-21_final
2014-04-22 09:16:59	ga_ls8c_ard_3-0-0_090076_2014-04-21_final
2014-04-22 09:17:23	ga_ls8c_ard_3-0-0_090077_2014-04-21_final
2014-04-22 09:17:47	ga_ls8c_ard_3-0-0_090078_2014-04-21_final
2014-04-22 09:18:11	ga_ls8c_ard_3-0-0_090079_2014-04-21_final
2014-04-22 09:18:35	ga_ls8c_ard_3-0-0_090080_2014-04-21_final
2014-04-22 09:18:59	ga_ls8c_ard_3-1-0_090081_2014-04-21_final
2014-04-22 09:19:23	ga_ls8c_ard_3-0-0_090082_2014-04-21_final
2014-04-22 09:19:47	ga_ls8c_ard_3-0-0_090083_2014-04-21_final
2014-04-22 09:20:11	ga_ls8c_ard_3-0-0_090084_2014-04-21_final
2014-04-22 09:20:35	ga_ls8c_ard_3-0-0_090085_2014-04-21_final
2014-04-22 09:20:59	ga_ls8c_ard_3-0-0_090086_2014-04-21_final
2014-04-22 09:21:22	ga_ls8c_ard_3-0-0_090087_2014-04-21_final
2014-04-22 09:21:46	ga_ls8c_ard_3-0-0_090088_2014-04-21_final
2014-04-22 09:22:10	ga_ls8c_ard_3-1-0_090089_2014-04-21_final
2014-04-22 09:22:34	ga_ls8c_ard_3-0-0_090090_2014-04-21_final
2014-04-22 10:52:41	ga_ls8c_ard_3-0-0_106068_2014-04-22_final
2014-04-22 10:53:04	ga_ls8c_ard_3-0-0_106069_2014-04-22_final
2014-04-22 10:53:28	ga_ls8c_ard_3-0-0_106070_2014-04-22_final
2014-04-22 10:53:52	ga_ls8c_ard_3-0-0_106071_2014-04-22_final
2014-04-22 10:54:16	ga_ls8c_ard_3-0-0_106072_2014-04-22_final
2014-04-22 10:54:40	ga_ls8c_ard_3-0-0_106073_2014-04-22_final
2014-04-22 10:55:04	ga_ls8c_ard_3-0-0_106074_2014-04-22_final
2014-04-22 10:55:28	ga_ls8c_ard_3-0-0_106075_2014-04-22_final
2014-04-22 10:55:52	ga_ls8c_ard_3-0-0_106076_2014-04-22_final
2014-04-22 10:56:16	ga_ls8c_ard_3-0-0_106077_2014-04-22_final
2014-04-22 10:56:40	ga_ls8c_ard_3-0-0_106078_2014-04-22_final
2014-04-22 10:57:04	ga_ls8c_ard_3-0-0_106079_2014-04-22_final
2014-04-22 10:57:28	ga_ls8c_ard_3-0-0_106080_2014-04-22_final
2014-04-22 10:57:52	ga_ls8c_ard_3-0-0_106081_2014-04-22_final
2014-04-22 10:58:16	ga_ls8c_ard_3-0-0_106082_2014-04-22_final
2014-04-22 10:58:40	ga_ls8c_ard_3-0-0_106083_2014-04-22_final
2014-04-23 09:57:50	ga_ls8c_ard_3-0-0_097070_2014-04-23_final
2014-04-23 09:58:14	ga_ls8c_ard_3-0-0_097071_2014-04-23_final
2014-04-23 09:58:38	ga_ls8c_ard_3-0-0_097072_2014-04-23_final
2014-04-23 09:59:02	ga_ls8c_ard_3-0-0_097073_2014-04-23_final
2014-04-23 09:59:26	ga_ls8c_ard_3-0-0_097074_2014-04-23_final
2014-04-23 09:59:50	ga_ls8c_ard_3-0-0_097075_2014-04-23_final
2014-04-23 10:00:14	ga_ls8c_ard_3-0-0_097076_2014-04-23_final
2014-04-23 10:00:38	ga_ls8c_ard_3-0-0_097077_2014-04-23_final
2014-04-23 10:01:02	ga_ls8c_ard_3-0-0_097078_2014-04-23_final
2014-04-23 10:01:26	ga_ls8c_ard_3-0-0_097079_2014-04-23_final
2014-04-23 10:01:50	ga_ls8c_ard_3-0-0_097080_2014-04-23_final
2014-04-23 10:02:14	ga_ls8c_ard_3-0-0_097081_2014-04-23_final
2014-04-23 10:02:38	ga_ls8c_ard_3-0-0_097082_2014-04-23_final
2014-04-23 10:03:02	ga_ls8c_ard_3-0-0_097083_2014-04-23_final
2014-04-23 10:03:26	ga_ls8c_ard_3-0-0_097084_2014-04-23_final
2014-04-23 10:03:50	ga_ls8c_ard_3-0-0_097085_2014-04-23_final
2014-04-23 11:38:19	ga_ls8c_ard_3-0-0_113074_2014-04-23_final
2014-04-23 11:38:43	ga_ls8c_ard_3-0-0_113075_2014-04-23_final
2014-04-23 11:39:07	ga_ls8c_ard_3-0-0_113076_2014-04-23_final
2014-04-23 11:39:31	ga_ls8c_ard_3-0-0_113077_2014-04-23_final
2014-04-23 11:39:55	ga_ls8c_ard_3-0-0_113078_2014-04-23_final
2014-04-23 11:40:19	ga_ls8c_ard_3-0-0_113079_2014-04-23_final
2014-04-23 11:40:43	ga_ls8c_ard_3-0-0_113080_2014-04-23_final
2014-04-23 11:41:07	ga_ls8c_ard_3-0-0_113081_2014-04-23_final
2014-04-23 11:41:31	ga_ls8c_ard_3-0-0_113082_2014-04-23_final
2014-04-24 10:40:17	ga_ls8c_ard_3-0-0_104068_2014-04-24_final
2014-04-24 10:40:41	ga_ls8c_ard_3-0-0_104069_2014-04-24_final
2014-04-24 10:41:05	ga_ls8c_ard_3-0-0_104070_2014-04-24_final
2014-04-24 10:41:29	ga_ls8c_ard_3-0-0_104071_2014-04-24_final
2014-04-24 10:41:53	ga_ls8c_ard_3-0-0_104072_2014-04-24_final
2014-04-24 10:42:17	ga_ls8c_ard_3-0-0_104073_2014-04-24_final
2014-04-24 10:42:41	ga_ls8c_ard_3-0-0_104074_2014-04-24_final
2014-04-24 10:43:05	ga_ls8c_ard_3-0-0_104075_2014-04-24_final
2014-04-24 10:43:29	ga_ls8c_ard_3-0-0_104076_2014-04-24_final
2014-04-24 10:43:53	ga_ls8c_ard_3-1-0_104077_2014-04-24_final
2014-04-24 10:44:17	ga_ls8c_ard_3-0-0_104078_2014-04-24_final
2014-04-24 10:44:41	ga_ls8c_ard_3-0-0_104079_2014-04-24_final
2014-04-24 10:45:05	ga_ls8c_ard_3-0-0_104080_2014-04-24_final
2014-04-24 10:45:29	ga_ls8c_ard_3-0-0_104081_2014-04-24_final
2014-04-29 09:23:03	ga_ls8c_ard_3-0-0_091076_2014-04-28_final
2014-04-29 09:23:27	ga_ls8c_ard_3-0-0_091077_2014-04-28_final
2014-04-29 09:23:51	ga_ls8c_ard_3-0-0_091078_2014-04-28_final
2014-04-29 09:24:15	ga_ls8c_ard_3-0-0_091079_2014-04-28_final
2014-04-29 09:24:39	ga_ls8c_ard_3-0-0_091080_2014-04-28_final
2014-04-29 09:25:03	ga_ls8c_ard_3-0-0_091081_2014-04-28_final
2014-04-29 09:25:27	ga_ls8c_ard_3-0-0_091082_2014-04-28_final
2014-04-29 09:25:51	ga_ls8c_ard_3-0-0_091083_2014-04-28_final
2014-04-29 09:26:15	ga_ls8c_ard_3-0-0_091084_2014-04-28_final
2014-04-29 09:26:39	ga_ls8c_ard_3-0-0_091085_2014-04-28_final
2014-04-29 09:27:03	ga_ls8c_ard_3-0-0_091086_2014-04-28_final
2014-04-29 09:27:27	ga_ls8c_ard_3-0-0_091087_2014-04-28_final
2014-04-29 09:27:51	ga_ls8c_ard_3-0-0_091088_2014-04-28_final
2014-04-29 09:28:15	ga_ls8c_ard_3-0-0_091089_2014-04-28_final
2014-04-29 10:58:21	ga_ls8c_ard_3-0-0_107067_2014-04-29_final
2014-04-29 10:59:33	ga_ls8c_ard_3-0-0_107070_2014-04-29_final
2014-04-29 10:59:57	ga_ls8c_ard_3-0-0_107071_2014-04-29_final
2014-04-29 11:00:21	ga_ls8c_ard_3-0-0_107072_2014-04-29_final
2014-04-29 11:00:45	ga_ls8c_ard_3-0-0_107073_2014-04-29_final
2014-04-29 11:01:08	ga_ls8c_ard_3-0-0_107074_2014-04-29_final
2014-04-29 11:01:32	ga_ls8c_ard_3-0-0_107075_2014-04-29_final
2014-04-29 11:01:56	ga_ls8c_ard_3-0-0_107076_2014-04-29_final
2014-04-29 11:02:20	ga_ls8c_ard_3-0-0_107077_2014-04-29_final
2014-04-29 11:02:44	ga_ls8c_ard_3-0-0_107078_2014-04-29_final
2014-04-29 11:03:08	ga_ls8c_ard_3-0-0_107079_2014-04-29_final
2014-04-29 11:03:32	ga_ls8c_ard_3-0-0_107080_2014-04-29_final
2014-04-29 11:03:56	ga_ls8c_ard_3-0-0_107081_2014-04-29_final
2014-04-29 11:04:20	ga_ls8c_ard_3-0-0_107082_2014-04-29_final
2014-04-29 11:04:44	ga_ls8c_ard_3-0-0_107083_2014-04-29_final

Return to ga_ls8c_ard_3 across April 2014 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

2014

April

All days