Search ga_ls8c_ard_3 across July 2013

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
2013-07-08 09:19:29	ga_ls8c_ard_3-0-0_090077_2013-07-07_final
2013-07-08 09:19:53	ga_ls8c_ard_3-0-0_090078_2013-07-07_final
2013-07-08 09:20:17	ga_ls8c_ard_3-0-0_090079_2013-07-07_final
2013-07-08 09:20:41	ga_ls8c_ard_3-0-0_090080_2013-07-07_final
2013-07-08 09:21:05	ga_ls8c_ard_3-0-0_090081_2013-07-07_final
2013-07-08 09:21:29	ga_ls8c_ard_3-0-0_090082_2013-07-07_final
2013-07-08 09:21:53	ga_ls8c_ard_3-0-0_090083_2013-07-07_final
2013-07-08 09:22:17	ga_ls8c_ard_3-0-0_090084_2013-07-07_final
2013-07-08 09:22:41	ga_ls8c_ard_3-0-0_090085_2013-07-07_final
2013-07-08 09:23:05	ga_ls8c_ard_3-0-0_090086_2013-07-07_final
2013-07-08 09:23:29	ga_ls8c_ard_3-0-0_090087_2013-07-07_final
2013-07-08 09:23:53	ga_ls8c_ard_3-0-0_090088_2013-07-07_final
2013-07-08 09:24:16	ga_ls8c_ard_3-0-0_090089_2013-07-07_final
2013-07-08 09:24:40	ga_ls8c_ard_3-0-0_090090_2013-07-07_final
2013-07-28 10:29:39	ga_ls8c_ard_3-0-0_102067_2013-07-28_final
2013-07-28 10:30:03	ga_ls8c_ard_3-0-0_102068_2013-07-28_final
2013-07-28 10:30:27	ga_ls8c_ard_3-0-0_102069_2013-07-28_final
2013-07-28 10:30:51	ga_ls8c_ard_3-0-0_102070_2013-07-28_final
2013-07-28 10:31:15	ga_ls8c_ard_3-0-0_102071_2013-07-28_final
2013-07-28 10:31:39	ga_ls8c_ard_3-0-0_102072_2013-07-28_final
2013-07-28 10:32:03	ga_ls8c_ard_3-0-0_102073_2013-07-28_final
2013-07-28 10:32:27	ga_ls8c_ard_3-0-0_102074_2013-07-28_final
2013-07-28 10:32:51	ga_ls8c_ard_3-0-0_102075_2013-07-28_final
2013-07-28 10:33:15	ga_ls8c_ard_3-0-0_102076_2013-07-28_final
2013-07-28 10:33:39	ga_ls8c_ard_3-0-0_102077_2013-07-28_final
2013-07-28 10:35:15	ga_ls8c_ard_3-0-0_102081_2013-07-28_final
2013-07-28 10:35:39	ga_ls8c_ard_3-0-0_102082_2013-07-28_final
2013-07-29 09:34:02	ga_ls8c_ard_3-0-0_093067_2013-07-29_final
2013-07-29 09:34:26	ga_ls8c_ard_3-0-0_093068_2013-07-29_final
2013-07-29 09:36:50	ga_ls8c_ard_3-0-0_093074_2013-07-29_final
2013-07-29 09:37:14	ga_ls8c_ard_3-0-0_093075_2013-07-29_final
2013-07-29 09:37:38	ga_ls8c_ard_3-0-0_093076_2013-07-29_final
2013-07-29 09:38:02	ga_ls8c_ard_3-0-0_093077_2013-07-29_final
2013-07-29 09:38:26	ga_ls8c_ard_3-0-0_093078_2013-07-29_final
2013-07-29 09:38:50	ga_ls8c_ard_3-0-0_093079_2013-07-29_final
2013-07-29 09:39:14	ga_ls8c_ard_3-0-0_093080_2013-07-29_final
2013-07-29 09:39:38	ga_ls8c_ard_3-0-0_093081_2013-07-29_final
2013-07-29 09:40:01	ga_ls8c_ard_3-0-0_093082_2013-07-29_final
2013-07-29 09:40:25	ga_ls8c_ard_3-0-0_093083_2013-07-29_final
2013-07-29 09:40:49	ga_ls8c_ard_3-0-0_093084_2013-07-29_final
2013-07-29 09:41:13	ga_ls8c_ard_3-0-0_093085_2013-07-29_final
2013-07-29 09:41:37	ga_ls8c_ard_3-0-0_093086_2013-07-29_final
2013-07-29 09:42:01	ga_ls8c_ard_3-0-0_093087_2013-07-29_final
2013-07-29 11:14:07	ga_ls8c_ard_3-0-0_109070_2013-07-29_final
2013-07-29 11:14:31	ga_ls8c_ard_3-0-0_109071_2013-07-29_final
2013-07-29 11:14:55	ga_ls8c_ard_3-0-0_109072_2013-07-29_final
2013-07-29 11:15:19	ga_ls8c_ard_3-0-0_109073_2013-07-29_final
2013-07-29 11:15:43	ga_ls8c_ard_3-0-0_109074_2013-07-29_final
2013-07-29 11:16:07	ga_ls8c_ard_3-0-0_109075_2013-07-29_final
2013-07-29 11:16:31	ga_ls8c_ard_3-0-0_109076_2013-07-29_final
2013-07-29 11:16:55	ga_ls8c_ard_3-0-0_109077_2013-07-29_final
2013-07-29 11:17:19	ga_ls8c_ard_3-0-0_109078_2013-07-29_final
2013-07-29 11:17:43	ga_ls8c_ard_3-0-0_109079_2013-07-29_final
2013-07-29 11:18:07	ga_ls8c_ard_3-0-0_109080_2013-07-29_final
2013-07-29 11:18:31	ga_ls8c_ard_3-0-0_109081_2013-07-29_final
2013-07-29 11:18:55	ga_ls8c_ard_3-0-0_109082_2013-07-29_final
2013-07-29 11:19:18	ga_ls8c_ard_3-0-0_109083_2013-07-29_final
2013-07-29 11:19:42	ga_ls8c_ard_3-0-0_109084_2013-07-29_final
2013-07-30 10:19:18	ga_ls8c_ard_3-0-0_100072_2013-07-30_final
2013-07-30 10:19:42	ga_ls8c_ard_3-0-0_100073_2013-07-30_final
2013-07-30 10:20:06	ga_ls8c_ard_3-0-0_100074_2013-07-30_final
2013-07-30 10:20:30	ga_ls8c_ard_3-0-0_100075_2013-07-30_final
2013-07-30 10:20:54	ga_ls8c_ard_3-0-0_100076_2013-07-30_final
2013-07-30 10:21:18	ga_ls8c_ard_3-0-0_100077_2013-07-30_final
2013-07-30 10:21:42	ga_ls8c_ard_3-0-0_100078_2013-07-30_final
2013-07-30 10:22:06	ga_ls8c_ard_3-0-0_100079_2013-07-30_final
2013-07-30 10:22:29	ga_ls8c_ard_3-0-0_100080_2013-07-30_final
2013-07-30 10:22:53	ga_ls8c_ard_3-0-0_100081_2013-07-30_final
2013-07-30 10:23:17	ga_ls8c_ard_3-0-0_100082_2013-07-30_final
2013-07-30 10:23:41	ga_ls8c_ard_3-0-0_100083_2013-07-30_final
2013-07-30 10:24:05	ga_ls8c_ard_3-0-0_100084_2013-07-30_final
2013-07-31 09:25:17	ga_ls8c_ard_3-0-0_091076_2013-07-30_final
2013-07-31 09:25:41	ga_ls8c_ard_3-0-0_091077_2013-07-30_final
2013-07-31 09:26:04	ga_ls8c_ard_3-0-0_091078_2013-07-30_final
2013-07-31 09:26:28	ga_ls8c_ard_3-0-0_091079_2013-07-30_final
2013-07-31 09:26:52	ga_ls8c_ard_3-0-0_091080_2013-07-30_final
2013-07-31 09:27:16	ga_ls8c_ard_3-0-0_091081_2013-07-30_final
2013-07-31 09:27:40	ga_ls8c_ard_3-0-0_091082_2013-07-30_final
2013-07-31 09:28:04	ga_ls8c_ard_3-0-0_091083_2013-07-30_final
2013-07-31 09:28:28	ga_ls8c_ard_3-0-0_091084_2013-07-30_final
2013-07-31 09:28:52	ga_ls8c_ard_3-0-0_091085_2013-07-30_final
2013-07-31 09:29:16	ga_ls8c_ard_3-0-0_091086_2013-07-30_final
2013-07-31 09:29:40	ga_ls8c_ard_3-0-0_091087_2013-07-30_final
2013-07-31 09:30:04	ga_ls8c_ard_3-0-0_091088_2013-07-31_final
2013-07-31 09:30:28	ga_ls8c_ard_3-0-0_091089_2013-07-31_final
2013-07-31 09:30:52	ga_ls8c_ard_3-0-0_091090_2013-07-31_final
2013-07-31 11:01:46	ga_ls8c_ard_3-0-0_107070_2013-07-31_final
2013-07-31 11:02:10	ga_ls8c_ard_3-0-0_107071_2013-07-31_final
2013-07-31 11:02:34	ga_ls8c_ard_3-0-0_107072_2013-07-31_final
2013-07-31 11:02:58	ga_ls8c_ard_3-0-0_107073_2013-07-31_final
2013-07-31 11:03:22	ga_ls8c_ard_3-0-0_107074_2013-07-31_final
2013-07-31 11:03:46	ga_ls8c_ard_3-0-0_107075_2013-07-31_final
2013-07-31 11:04:10	ga_ls8c_ard_3-0-0_107076_2013-07-31_final
2013-07-31 11:04:34	ga_ls8c_ard_3-0-0_107077_2013-07-31_final
2013-07-31 11:04:58	ga_ls8c_ard_3-0-0_107078_2013-07-31_final
2013-07-31 11:05:21	ga_ls8c_ard_3-0-0_107079_2013-07-31_final
2013-07-31 11:05:45	ga_ls8c_ard_3-0-0_107080_2013-07-31_final
2013-07-31 11:06:09	ga_ls8c_ard_3-0-0_107081_2013-07-31_final
2013-07-31 11:06:33	ga_ls8c_ard_3-1-0_107082_2013-07-31_final
2013-07-31 11:06:57	ga_ls8c_ard_3-0-0_107083_2013-07-31_final

Return to ga_ls8c_ard_3 across July 2013 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

2013

July

All days