Search ga_ls8c_ard_3 across August 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
2015-08-22 09:21:27	ga_ls8c_ard_3-0-0_091072_2015-08-21_final
2015-08-22 09:21:51	ga_ls8c_ard_3-0-0_091073_2015-08-21_final
2015-08-22 09:22:15	ga_ls8c_ard_3-0-0_091074_2015-08-21_final
2015-08-22 09:22:38	ga_ls8c_ard_3-0-0_091075_2015-08-21_final
2015-08-22 09:23:02	ga_ls8c_ard_3-0-0_091076_2015-08-21_final
2015-08-22 09:23:26	ga_ls8c_ard_3-0-0_091077_2015-08-21_final
2015-08-22 09:23:50	ga_ls8c_ard_3-0-0_091078_2015-08-21_final
2015-08-22 09:24:14	ga_ls8c_ard_3-0-0_091079_2015-08-21_final
2015-08-22 09:24:38	ga_ls8c_ard_3-0-0_091080_2015-08-21_final
2015-08-22 09:25:02	ga_ls8c_ard_3-0-0_091081_2015-08-21_final
2015-08-22 09:25:26	ga_ls8c_ard_3-0-0_091082_2015-08-21_final
2015-08-22 09:25:50	ga_ls8c_ard_3-0-0_091083_2015-08-21_final
2015-08-22 09:26:14	ga_ls8c_ard_3-0-0_091084_2015-08-21_final
2015-08-22 09:26:38	ga_ls8c_ard_3-0-0_091085_2015-08-21_final
2015-08-22 09:27:02	ga_ls8c_ard_3-0-0_091086_2015-08-21_final
2015-08-22 09:27:26	ga_ls8c_ard_3-0-0_091087_2015-08-21_final
2015-08-22 09:27:50	ga_ls8c_ard_3-0-0_091088_2015-08-21_final
2015-08-22 09:28:14	ga_ls8c_ard_3-0-0_091089_2015-08-21_final
2015-08-22 09:28:38	ga_ls8c_ard_3-0-0_091090_2015-08-21_final
2015-08-22 09:29:02	ga_ls8c_ard_3-0-0_091091_2015-08-21_final
2015-08-22 10:58:20	ga_ls8c_ard_3-0-0_107067_2015-08-22_final
2015-08-22 10:58:44	ga_ls8c_ard_3-0-0_107068_2015-08-22_final
2015-08-22 10:59:08	ga_ls8c_ard_3-0-0_107069_2015-08-22_final
2015-08-22 10:59:32	ga_ls8c_ard_3-0-0_107070_2015-08-22_final
2015-08-22 10:59:56	ga_ls8c_ard_3-0-0_107071_2015-08-22_final
2015-08-22 11:00:20	ga_ls8c_ard_3-0-0_107072_2015-08-22_final
2015-08-22 11:00:44	ga_ls8c_ard_3-0-0_107073_2015-08-22_final
2015-08-22 11:01:08	ga_ls8c_ard_3-0-0_107074_2015-08-22_final
2015-08-22 11:01:31	ga_ls8c_ard_3-0-0_107075_2015-08-22_final
2015-08-22 11:01:55	ga_ls8c_ard_3-0-0_107076_2015-08-22_final
2015-08-22 11:02:19	ga_ls8c_ard_3-0-0_107077_2015-08-22_final
2015-08-22 11:02:43	ga_ls8c_ard_3-0-0_107078_2015-08-22_final
2015-08-22 11:03:07	ga_ls8c_ard_3-0-0_107079_2015-08-22_final
2015-08-22 11:03:31	ga_ls8c_ard_3-0-0_107080_2015-08-22_final
2015-08-22 11:03:55	ga_ls8c_ard_3-0-0_107081_2015-08-22_final
2015-08-22 11:04:19	ga_ls8c_ard_3-1-0_107082_2015-08-22_final
2015-08-22 11:04:43	ga_ls8c_ard_3-0-0_107083_2015-08-22_final
2015-08-22 11:05:07	ga_ls8c_ard_3-0-0_107084_2015-08-22_final
2015-08-22 11:05:31	ga_ls8c_ard_3-0-0_107085_2015-08-22_final
2015-08-23 10:02:43	ga_ls8c_ard_3-0-0_098067_2015-08-23_final
2015-08-23 10:03:07	ga_ls8c_ard_3-0-0_098068_2015-08-23_final
2015-08-23 10:03:31	ga_ls8c_ard_3-0-0_098069_2015-08-23_final
2015-08-23 10:03:55	ga_ls8c_ard_3-0-0_098070_2015-08-23_final
2015-08-23 10:04:19	ga_ls8c_ard_3-0-0_098071_2015-08-23_final
2015-08-23 10:04:43	ga_ls8c_ard_3-0-0_098072_2015-08-23_final
2015-08-23 10:05:07	ga_ls8c_ard_3-0-0_098073_2015-08-23_final
2015-08-23 10:05:31	ga_ls8c_ard_3-0-0_098074_2015-08-23_final
2015-08-23 10:05:55	ga_ls8c_ard_3-0-0_098075_2015-08-23_final
2015-08-23 10:06:18	ga_ls8c_ard_3-0-0_098076_2015-08-23_final
2015-08-23 10:06:42	ga_ls8c_ard_3-0-0_098077_2015-08-23_final
2015-08-23 10:07:06	ga_ls8c_ard_3-0-0_098078_2015-08-23_final
2015-08-23 10:07:30	ga_ls8c_ard_3-0-0_098079_2015-08-23_final
2015-08-23 10:07:54	ga_ls8c_ard_3-0-0_098080_2015-08-23_final
2015-08-23 10:08:18	ga_ls8c_ard_3-0-0_098081_2015-08-23_final
2015-08-23 10:08:42	ga_ls8c_ard_3-0-0_098082_2015-08-23_final
2015-08-23 10:09:06	ga_ls8c_ard_3-0-0_098083_2015-08-23_final
2015-08-23 10:09:30	ga_ls8c_ard_3-0-0_098084_2015-08-23_final
2015-08-23 10:09:54	ga_ls8c_ard_3-0-0_098085_2015-08-23_final
2015-08-23 10:10:18	ga_ls8c_ard_3-0-0_098086_2015-08-23_final
2015-08-23 11:41:36	ga_ls8c_ard_3-0-0_114067_2015-08-23_final
2015-08-23 11:44:24	ga_ls8c_ard_3-0-0_114074_2015-08-23_final
2015-08-23 11:44:48	ga_ls8c_ard_3-0-0_114075_2015-08-23_final
2015-08-23 11:45:12	ga_ls8c_ard_3-0-0_114076_2015-08-23_final
2015-08-23 11:45:36	ga_ls8c_ard_3-0-0_114077_2015-08-23_final
2015-08-23 11:45:59	ga_ls8c_ard_3-0-0_114078_2015-08-23_final
2015-08-23 11:46:23	ga_ls8c_ard_3-0-0_114079_2015-08-23_final
2015-08-23 11:46:47	ga_ls8c_ard_3-0-0_114080_2015-08-23_final
2015-08-23 11:47:11	ga_ls8c_ard_3-0-0_114081_2015-08-23_final
2015-08-24 09:09:54	ga_ls8c_ard_3-0-0_089074_2015-08-23_final
2015-08-24 09:10:18	ga_ls8c_ard_3-0-0_089075_2015-08-23_final
2015-08-24 09:10:42	ga_ls8c_ard_3-0-0_089076_2015-08-23_final
2015-08-24 09:11:05	ga_ls8c_ard_3-0-0_089077_2015-08-23_final
2015-08-24 09:11:29	ga_ls8c_ard_3-0-0_089078_2015-08-23_final
2015-08-24 09:11:53	ga_ls8c_ard_3-0-0_089079_2015-08-23_final
2015-08-24 09:12:17	ga_ls8c_ard_3-0-0_089080_2015-08-23_final
2015-08-24 09:12:41	ga_ls8c_ard_3-0-0_089081_2015-08-23_final
2015-08-24 09:13:05	ga_ls8c_ard_3-0-0_089082_2015-08-23_final
2015-08-24 09:13:29	ga_ls8c_ard_3-0-0_089083_2015-08-23_final
2015-08-24 09:13:53	ga_ls8c_ard_3-0-0_089084_2015-08-23_final
2015-08-24 09:14:17	ga_ls8c_ard_3-0-0_089085_2015-08-23_final
2015-08-24 09:14:41	ga_ls8c_ard_3-0-0_089086_2015-08-23_final
2015-08-24 09:15:05	ga_ls8c_ard_3-0-0_089087_2015-08-23_final
2015-08-24 09:15:29	ga_ls8c_ard_3-0-0_089088_2015-08-23_final
2015-08-24 09:15:53	ga_ls8c_ard_3-0-0_089089_2015-08-23_final
2015-08-24 09:16:17	ga_ls8c_ard_3-0-0_089090_2015-08-23_final
2015-08-29 09:25:40	ga_ls8c_ard_3-0-0_092067_2015-08-28_final
2015-08-29 09:26:04	ga_ls8c_ard_3-0-0_092068_2015-08-28_final
2015-08-29 09:27:16	ga_ls8c_ard_3-0-0_092071_2015-08-28_final
2015-08-29 09:27:40	ga_ls8c_ard_3-0-0_092072_2015-08-28_final
2015-08-29 09:28:04	ga_ls8c_ard_3-0-0_092073_2015-08-28_final
2015-08-29 09:28:28	ga_ls8c_ard_3-0-0_092074_2015-08-28_final
2015-08-29 09:28:52	ga_ls8c_ard_3-0-0_092075_2015-08-28_final
2015-08-29 09:29:15	ga_ls8c_ard_3-0-0_092076_2015-08-28_final
2015-08-29 09:29:39	ga_ls8c_ard_3-0-0_092077_2015-08-28_final
2015-08-29 09:30:03	ga_ls8c_ard_3-0-0_092078_2015-08-29_final
2015-08-29 09:30:27	ga_ls8c_ard_3-0-0_092079_2015-08-29_final
2015-08-29 09:30:51	ga_ls8c_ard_3-0-0_092080_2015-08-29_final
2015-08-29 09:31:15	ga_ls8c_ard_3-0-0_092081_2015-08-29_final
2015-08-29 09:31:39	ga_ls8c_ard_3-0-0_092082_2015-08-29_final
2015-08-29 09:32:03	ga_ls8c_ard_3-0-0_092083_2015-08-29_final

Return to ga_ls8c_ard_3 across August 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

August

All days