Search ga_ls8c_ard_3 across August 2016

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
2016-08-01 09:16:19	ga_ls8c_ard_3-0-0_090074_2016-07-31_final
2016-08-01 09:16:43	ga_ls8c_ard_3-0-0_090075_2016-07-31_final
2016-08-01 09:17:07	ga_ls8c_ard_3-0-0_090076_2016-07-31_final
2016-08-01 09:17:31	ga_ls8c_ard_3-0-0_090077_2016-07-31_final
2016-08-01 09:17:55	ga_ls8c_ard_3-0-0_090078_2016-07-31_final
2016-08-01 09:18:19	ga_ls8c_ard_3-0-0_090079_2016-07-31_final
2016-08-01 09:18:43	ga_ls8c_ard_3-0-0_090080_2016-07-31_final
2016-08-01 09:19:07	ga_ls8c_ard_3-0-0_090081_2016-07-31_final
2016-08-01 09:19:31	ga_ls8c_ard_3-0-0_090082_2016-07-31_final
2016-08-01 09:19:55	ga_ls8c_ard_3-0-0_090083_2016-07-31_final
2016-08-01 09:20:19	ga_ls8c_ard_3-0-0_090084_2016-07-31_final
2016-08-01 09:20:42	ga_ls8c_ard_3-0-0_090085_2016-07-31_final
2016-08-01 09:21:06	ga_ls8c_ard_3-0-0_090086_2016-07-31_final
2016-08-01 09:21:30	ga_ls8c_ard_3-0-0_090087_2016-07-31_final
2016-08-01 09:21:54	ga_ls8c_ard_3-0-0_090088_2016-07-31_final
2016-08-01 09:22:18	ga_ls8c_ard_3-0-0_090089_2016-07-31_final
2016-08-01 09:22:42	ga_ls8c_ard_3-0-0_090090_2016-07-31_final
2016-08-01 09:23:06	ga_ls8c_ard_3-0-0_090091_2016-07-31_final
2016-08-01 10:52:25	ga_ls8c_ard_3-0-0_106067_2016-08-01_final
2016-08-01 10:52:48	ga_ls8c_ard_3-0-0_106068_2016-08-01_final
2016-08-01 10:53:12	ga_ls8c_ard_3-0-0_106069_2016-08-01_final
2016-08-01 10:53:36	ga_ls8c_ard_3-0-0_106070_2016-08-01_final
2016-08-01 10:54:00	ga_ls8c_ard_3-0-0_106071_2016-08-01_final
2016-08-01 10:54:24	ga_ls8c_ard_3-0-0_106072_2016-08-01_final
2016-08-01 10:54:48	ga_ls8c_ard_3-0-0_106073_2016-08-01_final
2016-08-01 10:55:12	ga_ls8c_ard_3-0-0_106074_2016-08-01_final
2016-08-01 10:55:36	ga_ls8c_ard_3-0-0_106075_2016-08-01_final
2016-08-01 10:56:00	ga_ls8c_ard_3-0-0_106076_2016-08-01_final
2016-08-01 10:56:24	ga_ls8c_ard_3-0-0_106077_2016-08-01_final
2016-08-01 10:56:48	ga_ls8c_ard_3-0-0_106078_2016-08-01_final
2016-08-01 10:57:12	ga_ls8c_ard_3-0-0_106079_2016-08-01_final
2016-08-01 10:57:36	ga_ls8c_ard_3-0-0_106080_2016-08-01_final
2016-08-01 10:58:00	ga_ls8c_ard_3-0-0_106081_2016-08-01_final
2016-08-01 10:58:24	ga_ls8c_ard_3-0-0_106082_2016-08-01_final
2016-08-01 10:58:48	ga_ls8c_ard_3-0-0_106083_2016-08-01_final
2016-08-01 10:59:12	ga_ls8c_ard_3-0-0_106084_2016-08-01_final
2016-08-02 09:56:47	ga_ls8c_ard_3-0-0_097067_2016-08-02_final
2016-08-02 09:57:11	ga_ls8c_ard_3-0-0_097068_2016-08-02_final
2016-08-02 09:57:35	ga_ls8c_ard_3-0-0_097069_2016-08-02_final
2016-08-02 09:57:59	ga_ls8c_ard_3-0-0_097070_2016-08-02_final
2016-08-02 09:58:23	ga_ls8c_ard_3-0-0_097071_2016-08-02_final
2016-08-02 09:58:47	ga_ls8c_ard_3-0-0_097072_2016-08-02_final
2016-08-02 09:59:11	ga_ls8c_ard_3-0-0_097073_2016-08-02_final
2016-08-02 09:59:35	ga_ls8c_ard_3-0-0_097074_2016-08-02_final
2016-08-02 09:59:59	ga_ls8c_ard_3-0-0_097075_2016-08-02_final
2016-08-02 10:00:23	ga_ls8c_ard_3-0-0_097076_2016-08-02_final
2016-08-02 10:00:47	ga_ls8c_ard_3-0-0_097077_2016-08-02_final
2016-08-02 10:01:11	ga_ls8c_ard_3-0-0_097078_2016-08-02_final
2016-08-02 10:01:35	ga_ls8c_ard_3-0-0_097079_2016-08-02_final
2016-08-02 10:01:59	ga_ls8c_ard_3-0-0_097080_2016-08-02_final
2016-08-02 10:02:22	ga_ls8c_ard_3-0-0_097081_2016-08-02_final
2016-08-02 10:02:46	ga_ls8c_ard_3-0-0_097082_2016-08-02_final
2016-08-02 10:03:10	ga_ls8c_ard_3-0-0_097083_2016-08-02_final
2016-08-02 10:03:34	ga_ls8c_ard_3-0-0_097084_2016-08-02_final
2016-08-02 10:03:58	ga_ls8c_ard_3-0-0_097085_2016-08-02_final
2016-08-02 10:04:22	ga_ls8c_ard_3-0-0_097086_2016-08-02_final
2016-08-02 11:35:40	ga_ls8c_ard_3-0-0_113067_2016-08-02_final
2016-08-02 11:37:40	ga_ls8c_ard_3-0-0_113072_2016-08-02_final
2016-08-02 11:38:04	ga_ls8c_ard_3-1-0_113073_2016-08-02_final
2016-08-02 11:38:28	ga_ls8c_ard_3-0-0_113074_2016-08-02_final
2016-08-02 11:38:52	ga_ls8c_ard_3-0-0_113075_2016-08-02_final
2016-08-02 11:39:16	ga_ls8c_ard_3-0-0_113076_2016-08-02_final
2016-08-02 11:39:40	ga_ls8c_ard_3-0-0_113077_2016-08-02_final
2016-08-02 11:40:04	ga_ls8c_ard_3-0-0_113078_2016-08-02_final
2016-08-02 11:40:28	ga_ls8c_ard_3-0-0_113079_2016-08-02_final
2016-08-02 11:40:52	ga_ls8c_ard_3-0-0_113080_2016-08-02_final
2016-08-02 11:41:16	ga_ls8c_ard_3-0-0_113081_2016-08-02_final
2016-08-02 11:41:40	ga_ls8c_ard_3-0-0_113082_2016-08-02_final
2016-08-02 11:42:03	ga_ls8c_ard_3-0-0_113083_2016-08-02_final
2016-08-02 11:42:27	ga_ls8c_ard_3-0-0_113084_2016-08-02_final
2016-08-03 09:05:57	ga_ls8c_ard_3-0-0_088079_2016-08-02_final
2016-08-03 09:06:21	ga_ls8c_ard_3-0-0_088080_2016-08-02_final
2016-08-03 09:06:45	ga_ls8c_ard_3-1-0_088081_2016-08-02_final
2016-08-03 09:07:09	ga_ls8c_ard_3-0-0_088082_2016-08-02_final
2016-08-03 09:07:33	ga_ls8c_ard_3-0-0_088083_2016-08-02_final
2016-08-03 09:07:57	ga_ls8c_ard_3-0-0_088084_2016-08-02_final
2016-08-03 10:40:03	ga_ls8c_ard_3-0-0_104067_2016-08-03_final
2016-08-03 10:40:27	ga_ls8c_ard_3-0-0_104068_2016-08-03_final
2016-08-03 10:40:51	ga_ls8c_ard_3-0-0_104069_2016-08-03_final
2016-08-03 10:41:15	ga_ls8c_ard_3-0-0_104070_2016-08-03_final
2016-08-03 10:41:39	ga_ls8c_ard_3-0-0_104071_2016-08-03_final
2016-08-03 10:42:03	ga_ls8c_ard_3-0-0_104072_2016-08-03_final
2016-08-03 10:42:27	ga_ls8c_ard_3-0-0_104073_2016-08-03_final
2016-08-03 10:42:51	ga_ls8c_ard_3-0-0_104074_2016-08-03_final
2016-08-03 10:43:15	ga_ls8c_ard_3-0-0_104075_2016-08-03_final
2016-08-03 10:43:39	ga_ls8c_ard_3-0-0_104076_2016-08-03_final
2016-08-03 10:44:03	ga_ls8c_ard_3-0-0_104077_2016-08-03_final
2016-08-03 10:44:26	ga_ls8c_ard_3-0-0_104078_2016-08-03_final
2016-08-03 10:44:50	ga_ls8c_ard_3-0-0_104079_2016-08-03_final
2016-08-03 10:45:14	ga_ls8c_ard_3-0-0_104080_2016-08-03_final
2016-08-03 10:45:38	ga_ls8c_ard_3-0-0_104081_2016-08-03_final
2016-08-03 10:46:02	ga_ls8c_ard_3-0-0_104082_2016-08-03_final
2016-08-03 10:46:26	ga_ls8c_ard_3-0-0_104083_2016-08-03_final
2016-08-21 10:28:35	ga_ls8c_ard_3-0-0_102069_2016-08-21_final
2016-08-21 10:28:59	ga_ls8c_ard_3-0-0_102070_2016-08-21_final
2016-08-21 10:30:11	ga_ls8c_ard_3-0-0_102073_2016-08-21_final
2016-08-21 10:30:34	ga_ls8c_ard_3-0-0_102074_2016-08-21_final
2016-08-21 10:31:22	ga_ls8c_ard_3-0-0_102076_2016-08-21_final
2016-08-21 10:31:46	ga_ls8c_ard_3-0-0_102077_2016-08-21_final
2016-08-21 10:32:58	ga_ls8c_ard_3-0-0_102080_2016-08-21_final

Return to ga_ls8c_ard_3 across August 2016 overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2016

August

All days