Search ga_ls8c_ard_3 across May 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
2015-05-21 09:49:38	ga_ls8c_ard_3-0-0_096067_2015-05-21_final
2015-05-21 09:50:02	ga_ls8c_ard_3-0-0_096068_2015-05-21_final
2015-05-21 09:50:26	ga_ls8c_ard_3-0-0_096069_2015-05-21_final
2015-05-21 09:50:50	ga_ls8c_ard_3-0-0_096070_2015-05-21_final
2015-05-21 09:51:14	ga_ls8c_ard_3-0-0_096071_2015-05-21_final
2015-05-21 09:51:38	ga_ls8c_ard_3-0-0_096072_2015-05-21_final
2015-05-21 09:52:02	ga_ls8c_ard_3-0-0_096073_2015-05-21_final
2015-05-21 09:52:26	ga_ls8c_ard_3-0-0_096074_2015-05-21_final
2015-05-27 09:15:22	ga_ls8c_ard_3-0-0_090074_2015-05-26_final
2015-05-27 09:15:46	ga_ls8c_ard_3-0-0_090075_2015-05-26_final
2015-05-27 09:16:10	ga_ls8c_ard_3-0-0_090076_2015-05-26_final
2015-05-27 09:16:34	ga_ls8c_ard_3-0-0_090077_2015-05-26_final
2015-05-27 09:16:58	ga_ls8c_ard_3-0-0_090078_2015-05-26_final
2015-05-27 09:17:22	ga_ls8c_ard_3-0-0_090079_2015-05-26_final
2015-05-27 09:17:46	ga_ls8c_ard_3-0-0_090080_2015-05-26_final
2015-05-27 09:18:10	ga_ls8c_ard_3-0-0_090081_2015-05-26_final
2015-05-27 09:18:34	ga_ls8c_ard_3-0-0_090082_2015-05-26_final
2015-05-27 09:18:58	ga_ls8c_ard_3-0-0_090083_2015-05-26_final
2015-05-27 09:19:22	ga_ls8c_ard_3-0-0_090084_2015-05-26_final
2015-05-27 09:19:46	ga_ls8c_ard_3-0-0_090085_2015-05-26_final
2015-05-27 09:20:10	ga_ls8c_ard_3-0-0_090086_2015-05-26_final
2015-05-27 09:20:33	ga_ls8c_ard_3-0-0_090087_2015-05-26_final
2015-05-27 09:20:57	ga_ls8c_ard_3-0-0_090088_2015-05-26_final
2015-05-27 09:21:21	ga_ls8c_ard_3-0-0_090089_2015-05-26_final
2015-05-27 09:21:45	ga_ls8c_ard_3-0-0_090090_2015-05-26_final
2015-05-27 09:22:09	ga_ls8c_ard_3-0-0_090091_2015-05-26_final
2015-05-27 10:51:28	ga_ls8c_ard_3-0-0_106067_2015-05-27_final
2015-05-27 10:51:52	ga_ls8c_ard_3-0-0_106068_2015-05-27_final
2015-05-27 10:52:15	ga_ls8c_ard_3-0-0_106069_2015-05-27_final
2015-05-27 10:52:39	ga_ls8c_ard_3-0-0_106070_2015-05-27_final
2015-05-27 10:53:03	ga_ls8c_ard_3-0-0_106071_2015-05-27_final
2015-05-27 10:53:27	ga_ls8c_ard_3-0-0_106072_2015-05-27_final
2015-05-27 10:53:51	ga_ls8c_ard_3-0-0_106073_2015-05-27_final
2015-05-27 10:54:15	ga_ls8c_ard_3-0-0_106074_2015-05-27_final
2015-05-27 10:54:39	ga_ls8c_ard_3-0-0_106075_2015-05-27_final
2015-05-27 10:55:03	ga_ls8c_ard_3-0-0_106076_2015-05-27_final
2015-05-27 10:55:27	ga_ls8c_ard_3-0-0_106077_2015-05-27_final
2015-05-27 10:55:51	ga_ls8c_ard_3-0-0_106078_2015-05-27_final
2015-05-27 10:56:15	ga_ls8c_ard_3-0-0_106079_2015-05-27_final
2015-05-27 10:56:39	ga_ls8c_ard_3-0-0_106080_2015-05-27_final
2015-05-27 10:57:03	ga_ls8c_ard_3-0-0_106081_2015-05-27_final
2015-05-27 10:57:27	ga_ls8c_ard_3-0-0_106082_2015-05-27_final
2015-05-27 10:57:51	ga_ls8c_ard_3-0-0_106083_2015-05-27_final
2015-05-27 10:58:15	ga_ls8c_ard_3-0-0_106084_2015-05-27_final
2015-05-28 09:55:50	ga_ls8c_ard_3-0-0_097067_2015-05-28_final
2015-05-28 09:56:14	ga_ls8c_ard_3-0-0_097068_2015-05-28_final
2015-05-28 09:56:38	ga_ls8c_ard_3-0-0_097069_2015-05-28_final
2015-05-28 09:57:02	ga_ls8c_ard_3-0-0_097070_2015-05-28_final
2015-05-28 09:57:26	ga_ls8c_ard_3-0-0_097071_2015-05-28_final
2015-05-28 09:57:50	ga_ls8c_ard_3-0-0_097072_2015-05-28_final
2015-05-28 09:58:14	ga_ls8c_ard_3-0-0_097073_2015-05-28_final
2015-05-28 09:58:38	ga_ls8c_ard_3-0-0_097074_2015-05-28_final
2015-05-28 09:59:02	ga_ls8c_ard_3-0-0_097075_2015-05-28_final
2015-05-28 09:59:26	ga_ls8c_ard_3-0-0_097076_2015-05-28_final
2015-05-28 09:59:50	ga_ls8c_ard_3-0-0_097077_2015-05-28_final
2015-05-28 10:00:14	ga_ls8c_ard_3-0-0_097078_2015-05-28_final
2015-05-28 10:00:38	ga_ls8c_ard_3-0-0_097079_2015-05-28_final
2015-05-28 10:01:02	ga_ls8c_ard_3-0-0_097080_2015-05-28_final
2015-05-28 10:01:26	ga_ls8c_ard_3-0-0_097081_2015-05-28_final
2015-05-28 10:01:50	ga_ls8c_ard_3-0-0_097082_2015-05-28_final
2015-05-28 10:02:13	ga_ls8c_ard_3-0-0_097083_2015-05-28_final
2015-05-28 10:02:37	ga_ls8c_ard_3-0-0_097084_2015-05-28_final
2015-05-28 10:03:01	ga_ls8c_ard_3-0-0_097085_2015-05-28_final
2015-05-28 10:03:25	ga_ls8c_ard_3-0-0_097086_2015-05-28_final
2015-05-28 11:34:43	ga_ls8c_ard_3-0-0_113067_2015-05-28_final
2015-05-28 11:36:43	ga_ls8c_ard_3-0-0_113072_2015-05-28_final
2015-05-28 11:37:07	ga_ls8c_ard_3-0-0_113073_2015-05-28_final
2015-05-28 11:37:31	ga_ls8c_ard_3-0-0_113074_2015-05-28_final
2015-05-28 11:37:55	ga_ls8c_ard_3-0-0_113075_2015-05-28_final
2015-05-28 11:38:19	ga_ls8c_ard_3-0-0_113076_2015-05-28_final
2015-05-28 11:38:43	ga_ls8c_ard_3-0-0_113077_2015-05-28_final
2015-05-28 11:39:07	ga_ls8c_ard_3-0-0_113078_2015-05-28_final
2015-05-28 11:39:31	ga_ls8c_ard_3-0-0_113079_2015-05-28_final
2015-05-28 11:39:55	ga_ls8c_ard_3-0-0_113080_2015-05-28_final
2015-05-28 11:40:19	ga_ls8c_ard_3-0-0_113081_2015-05-28_final
2015-05-28 11:40:43	ga_ls8c_ard_3-0-0_113082_2015-05-28_final
2015-05-28 11:41:07	ga_ls8c_ard_3-0-0_113083_2015-05-28_final
2015-05-28 11:41:31	ga_ls8c_ard_3-0-0_113084_2015-05-28_final
2015-05-29 09:05:00	ga_ls8c_ard_3-0-0_088079_2015-05-28_final
2015-05-29 09:05:24	ga_ls8c_ard_3-0-0_088080_2015-05-28_final
2015-05-29 09:05:48	ga_ls8c_ard_3-1-0_088081_2015-05-28_final
2015-05-29 09:06:12	ga_ls8c_ard_3-0-0_088082_2015-05-28_final
2015-05-29 09:06:36	ga_ls8c_ard_3-0-0_088083_2015-05-28_final
2015-05-29 09:07:00	ga_ls8c_ard_3-0-0_088084_2015-05-28_final
2015-05-29 10:39:06	ga_ls8c_ard_3-0-0_104067_2015-05-29_final
2015-05-29 10:39:30	ga_ls8c_ard_3-0-0_104068_2015-05-29_final
2015-05-29 10:39:54	ga_ls8c_ard_3-0-0_104069_2015-05-29_final
2015-05-29 10:40:18	ga_ls8c_ard_3-0-0_104070_2015-05-29_final
2015-05-29 10:40:42	ga_ls8c_ard_3-0-0_104071_2015-05-29_final
2015-05-29 10:41:06	ga_ls8c_ard_3-0-0_104072_2015-05-29_final
2015-05-29 10:41:30	ga_ls8c_ard_3-0-0_104073_2015-05-29_final
2015-05-29 10:41:54	ga_ls8c_ard_3-0-0_104074_2015-05-29_final
2015-05-29 10:42:18	ga_ls8c_ard_3-0-0_104075_2015-05-29_final
2015-05-29 10:42:42	ga_ls8c_ard_3-0-0_104076_2015-05-29_final
2015-05-29 10:43:06	ga_ls8c_ard_3-1-0_104077_2015-05-29_final
2015-05-29 10:43:30	ga_ls8c_ard_3-0-0_104078_2015-05-29_final
2015-05-29 10:43:53	ga_ls8c_ard_3-0-0_104079_2015-05-29_final
2015-05-29 10:44:17	ga_ls8c_ard_3-0-0_104080_2015-05-29_final
2015-05-29 10:44:41	ga_ls8c_ard_3-0-0_104081_2015-05-29_final
2015-05-29 10:45:05	ga_ls8c_ard_3-0-0_104082_2015-05-29_final

Return to ga_ls8c_ard_3 across May 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

May

All days