Search ga_ls8c_ard_3 across June 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
2015-06-01 09:31:10	ga_ls8c_ard_3-0-0_093067_2015-06-01_final
2015-06-01 09:31:34	ga_ls8c_ard_3-0-0_093068_2015-06-01_final
2015-06-14 09:05:13	ga_ls8c_ard_3-0-0_088079_2015-06-13_final
2015-06-14 09:05:37	ga_ls8c_ard_3-0-0_088080_2015-06-13_final
2015-06-14 09:06:01	ga_ls8c_ard_3-1-0_088081_2015-06-13_final
2015-06-14 09:06:25	ga_ls8c_ard_3-0-0_088082_2015-06-13_final
2015-06-14 09:06:49	ga_ls8c_ard_3-0-0_088083_2015-06-13_final
2015-06-14 09:07:12	ga_ls8c_ard_3-0-0_088084_2015-06-13_final
2015-06-14 10:39:18	ga_ls8c_ard_3-0-0_104067_2015-06-14_final
2015-06-14 10:39:42	ga_ls8c_ard_3-0-0_104068_2015-06-14_final
2015-06-14 10:40:06	ga_ls8c_ard_3-0-0_104069_2015-06-14_final
2015-06-14 10:40:30	ga_ls8c_ard_3-0-0_104070_2015-06-14_final
2015-06-14 10:40:54	ga_ls8c_ard_3-0-0_104071_2015-06-14_final
2015-06-14 10:41:18	ga_ls8c_ard_3-0-0_104072_2015-06-14_final
2015-06-14 10:41:42	ga_ls8c_ard_3-0-0_104073_2015-06-14_final
2015-06-14 10:42:06	ga_ls8c_ard_3-0-0_104074_2015-06-14_final
2015-06-14 10:42:30	ga_ls8c_ard_3-0-0_104075_2015-06-14_final
2015-06-14 10:42:54	ga_ls8c_ard_3-0-0_104076_2015-06-14_final
2015-06-14 10:43:18	ga_ls8c_ard_3-0-0_104077_2015-06-14_final
2015-06-14 10:43:42	ga_ls8c_ard_3-0-0_104078_2015-06-14_final
2015-06-14 10:44:06	ga_ls8c_ard_3-0-0_104079_2015-06-14_final
2015-06-14 10:44:30	ga_ls8c_ard_3-0-0_104080_2015-06-14_final
2015-06-14 10:44:54	ga_ls8c_ard_3-0-0_104081_2015-06-14_final
2015-06-14 10:45:18	ga_ls8c_ard_3-0-0_104082_2015-06-14_final
2015-06-14 10:45:42	ga_ls8c_ard_3-0-0_104083_2015-06-14_final
2015-06-15 09:43:42	ga_ls8c_ard_3-0-0_095067_2015-06-15_final
2015-06-15 09:44:53	ga_ls8c_ard_3-0-0_095070_2015-06-15_final
2015-06-15 09:45:17	ga_ls8c_ard_3-0-0_095071_2015-06-15_final
2015-06-15 09:45:41	ga_ls8c_ard_3-0-0_095072_2015-06-15_final
2015-06-15 09:46:05	ga_ls8c_ard_3-0-0_095073_2015-06-15_final
2015-06-15 09:46:29	ga_ls8c_ard_3-0-0_095074_2015-06-15_final
2015-06-15 09:46:53	ga_ls8c_ard_3-0-0_095075_2015-06-15_final
2015-06-15 09:47:17	ga_ls8c_ard_3-0-0_095076_2015-06-15_final
2015-06-15 09:47:41	ga_ls8c_ard_3-0-0_095077_2015-06-15_final
2015-06-15 09:48:05	ga_ls8c_ard_3-0-0_095078_2015-06-15_final
2015-06-15 09:48:29	ga_ls8c_ard_3-0-0_095079_2015-06-15_final
2015-06-15 09:48:53	ga_ls8c_ard_3-0-0_095080_2015-06-15_final
2015-06-15 09:49:17	ga_ls8c_ard_3-0-0_095081_2015-06-15_final
2015-06-15 09:49:41	ga_ls8c_ard_3-0-0_095082_2015-06-15_final
2015-06-15 09:50:05	ga_ls8c_ard_3-0-0_095083_2015-06-15_final
2015-06-15 09:50:29	ga_ls8c_ard_3-0-0_095084_2015-06-15_final
2015-06-15 09:50:53	ga_ls8c_ard_3-0-0_095085_2015-06-15_final
2015-06-15 09:51:17	ga_ls8c_ard_3-0-0_095086_2015-06-15_final
2015-06-15 09:51:40	ga_ls8c_ard_3-0-0_095087_2015-06-15_final
2015-06-15 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-06-15_final
2015-06-15 11:22:35	ga_ls8c_ard_3-0-0_111067_2015-06-15_final
2015-06-15 11:22:59	ga_ls8c_ard_3-0-0_111068_2015-06-15_final
2015-06-15 11:23:23	ga_ls8c_ard_3-0-0_111069_2015-06-15_final
2015-06-15 11:23:46	ga_ls8c_ard_3-0-0_111070_2015-06-15_final
2015-06-15 11:24:10	ga_ls8c_ard_3-0-0_111071_2015-06-15_final
2015-06-15 11:24:34	ga_ls8c_ard_3-0-0_111072_2015-06-15_final
2015-06-15 11:24:58	ga_ls8c_ard_3-0-0_111073_2015-06-15_final
2015-06-15 11:25:22	ga_ls8c_ard_3-0-0_111074_2015-06-15_final
2015-06-15 11:25:46	ga_ls8c_ard_3-0-0_111075_2015-06-15_final
2015-06-15 11:26:10	ga_ls8c_ard_3-0-0_111076_2015-06-15_final
2015-06-15 11:26:34	ga_ls8c_ard_3-0-0_111077_2015-06-15_final
2015-06-15 11:26:58	ga_ls8c_ard_3-0-0_111078_2015-06-15_final
2015-06-15 11:27:22	ga_ls8c_ard_3-0-0_111079_2015-06-15_final
2015-06-15 11:27:46	ga_ls8c_ard_3-0-0_111080_2015-06-15_final
2015-06-15 11:28:10	ga_ls8c_ard_3-0-0_111081_2015-06-15_final
2015-06-15 11:28:34	ga_ls8c_ard_3-0-0_111082_2015-06-15_final
2015-06-15 11:28:58	ga_ls8c_ard_3-0-0_111083_2015-06-15_final
2015-06-15 11:29:22	ga_ls8c_ard_3-0-0_111084_2015-06-15_final
2015-06-15 11:29:46	ga_ls8c_ard_3-0-0_111085_2015-06-15_final
2015-06-16 10:26:58	ga_ls8c_ard_3-0-0_102067_2015-06-16_final
2015-06-16 10:27:22	ga_ls8c_ard_3-0-0_102068_2015-06-16_final
2015-06-16 10:27:46	ga_ls8c_ard_3-0-0_102069_2015-06-16_final
2015-06-16 10:28:09	ga_ls8c_ard_3-0-0_102070_2015-06-16_final
2015-06-16 10:28:33	ga_ls8c_ard_3-0-0_102071_2015-06-16_final
2015-06-16 10:28:57	ga_ls8c_ard_3-0-0_102072_2015-06-16_final
2015-06-16 10:29:21	ga_ls8c_ard_3-0-0_102073_2015-06-16_final
2015-06-16 10:29:45	ga_ls8c_ard_3-0-0_102074_2015-06-16_final
2015-06-16 10:30:09	ga_ls8c_ard_3-0-0_102075_2015-06-16_final
2015-06-16 10:30:33	ga_ls8c_ard_3-0-0_102076_2015-06-16_final
2015-06-16 10:30:57	ga_ls8c_ard_3-0-0_102077_2015-06-16_final
2015-06-16 10:31:21	ga_ls8c_ard_3-0-0_102078_2015-06-16_final
2015-06-16 10:31:45	ga_ls8c_ard_3-0-0_102079_2015-06-16_final
2015-06-16 10:32:09	ga_ls8c_ard_3-0-0_102080_2015-06-16_final
2015-06-16 10:32:33	ga_ls8c_ard_3-0-0_102081_2015-06-16_final
2015-06-16 10:32:57	ga_ls8c_ard_3-0-0_102082_2015-06-16_final
2015-06-16 10:33:21	ga_ls8c_ard_3-0-0_102083_2015-06-16_final
2015-06-17 09:31:21	ga_ls8c_ard_3-0-0_093067_2015-06-17_final
2015-06-17 09:31:45	ga_ls8c_ard_3-0-0_093068_2015-06-17_final
2015-06-21 09:09:26	ga_ls8c_ard_3-0-0_089074_2015-06-20_final
2015-06-21 09:09:50	ga_ls8c_ard_3-0-0_089075_2015-06-20_final
2015-06-21 09:10:14	ga_ls8c_ard_3-0-0_089076_2015-06-20_final
2015-06-21 09:10:38	ga_ls8c_ard_3-0-0_089077_2015-06-20_final
2015-06-21 09:11:02	ga_ls8c_ard_3-0-0_089078_2015-06-20_final
2015-06-21 09:11:26	ga_ls8c_ard_3-0-0_089079_2015-06-20_final
2015-06-21 09:11:50	ga_ls8c_ard_3-0-0_089080_2015-06-20_final
2015-06-21 09:12:14	ga_ls8c_ard_3-0-0_089081_2015-06-20_final
2015-06-21 09:12:38	ga_ls8c_ard_3-0-0_089082_2015-06-20_final
2015-06-21 09:13:02	ga_ls8c_ard_3-0-0_089083_2015-06-20_final
2015-06-21 09:13:26	ga_ls8c_ard_3-0-0_089084_2015-06-20_final
2015-06-21 09:13:49	ga_ls8c_ard_3-0-0_089085_2015-06-20_final
2015-06-21 09:14:13	ga_ls8c_ard_3-0-0_089086_2015-06-20_final
2015-06-21 09:14:37	ga_ls8c_ard_3-0-0_089087_2015-06-20_final
2015-06-21 09:15:01	ga_ls8c_ard_3-0-0_089088_2015-06-20_final
2015-06-21 09:15:25	ga_ls8c_ard_3-0-0_089089_2015-06-20_final
2015-06-21 09:15:49	ga_ls8c_ard_3-0-0_089090_2015-06-20_final

Return to ga_ls8c_ard_3 across June 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

June

All days