Search ga_ls8c_ard_3 across September 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
2015-09-08 10:02:49	ga_ls8c_ard_3-0-0_098067_2015-09-08_final
2015-09-08 10:03:13	ga_ls8c_ard_3-0-0_098068_2015-09-08_final
2015-09-08 10:03:37	ga_ls8c_ard_3-0-0_098069_2015-09-08_final
2015-09-08 10:04:01	ga_ls8c_ard_3-0-0_098070_2015-09-08_final
2015-09-08 10:04:25	ga_ls8c_ard_3-0-0_098071_2015-09-08_final
2015-09-08 10:04:48	ga_ls8c_ard_3-0-0_098072_2015-09-08_final
2015-09-08 10:05:12	ga_ls8c_ard_3-0-0_098073_2015-09-08_final
2015-09-08 10:05:36	ga_ls8c_ard_3-0-0_098074_2015-09-08_final
2015-09-08 10:06:00	ga_ls8c_ard_3-0-0_098075_2015-09-08_final
2015-09-08 10:06:24	ga_ls8c_ard_3-0-0_098076_2015-09-08_final
2015-09-08 10:06:48	ga_ls8c_ard_3-0-0_098077_2015-09-08_final
2015-09-08 10:07:12	ga_ls8c_ard_3-0-0_098078_2015-09-08_final
2015-09-08 10:07:36	ga_ls8c_ard_3-0-0_098079_2015-09-08_final
2015-09-08 10:08:00	ga_ls8c_ard_3-0-0_098080_2015-09-08_final
2015-09-08 10:08:24	ga_ls8c_ard_3-0-0_098081_2015-09-08_final
2015-09-08 10:08:48	ga_ls8c_ard_3-0-0_098082_2015-09-08_final
2015-09-08 10:09:12	ga_ls8c_ard_3-0-0_098083_2015-09-08_final
2015-09-08 10:09:36	ga_ls8c_ard_3-0-0_098084_2015-09-08_final
2015-09-08 10:10:00	ga_ls8c_ard_3-0-0_098085_2015-09-08_final
2015-09-08 10:10:24	ga_ls8c_ard_3-0-0_098086_2015-09-08_final
2015-09-08 11:41:42	ga_ls8c_ard_3-0-0_114067_2015-09-08_final
2015-09-08 11:44:29	ga_ls8c_ard_3-0-0_114074_2015-09-08_final
2015-09-08 11:44:53	ga_ls8c_ard_3-0-0_114075_2015-09-08_final
2015-09-08 11:45:17	ga_ls8c_ard_3-0-0_114076_2015-09-08_final
2015-09-08 11:45:41	ga_ls8c_ard_3-0-0_114077_2015-09-08_final
2015-09-08 11:46:05	ga_ls8c_ard_3-0-0_114078_2015-09-08_final
2015-09-08 11:46:29	ga_ls8c_ard_3-0-0_114079_2015-09-08_final
2015-09-08 11:46:53	ga_ls8c_ard_3-0-0_114080_2015-09-08_final
2015-09-08 11:47:17	ga_ls8c_ard_3-0-0_114081_2015-09-08_final
2015-09-09 09:10:00	ga_ls8c_ard_3-0-0_089074_2015-09-08_final
2015-09-09 09:10:24	ga_ls8c_ard_3-0-0_089075_2015-09-08_final
2015-09-09 09:10:48	ga_ls8c_ard_3-0-0_089076_2015-09-08_final
2015-09-09 09:11:11	ga_ls8c_ard_3-0-0_089077_2015-09-08_final
2015-09-09 09:11:35	ga_ls8c_ard_3-0-0_089078_2015-09-08_final
2015-09-09 09:11:59	ga_ls8c_ard_3-0-0_089079_2015-09-08_final
2015-09-09 09:12:23	ga_ls8c_ard_3-0-0_089080_2015-09-08_final
2015-09-09 09:12:47	ga_ls8c_ard_3-0-0_089081_2015-09-08_final
2015-09-09 09:13:11	ga_ls8c_ard_3-0-0_089082_2015-09-08_final
2015-09-09 09:13:35	ga_ls8c_ard_3-0-0_089083_2015-09-08_final
2015-09-09 09:13:59	ga_ls8c_ard_3-0-0_089084_2015-09-08_final
2015-09-09 09:14:23	ga_ls8c_ard_3-0-0_089085_2015-09-08_final
2015-09-09 09:14:47	ga_ls8c_ard_3-0-0_089086_2015-09-08_final
2015-09-09 09:15:11	ga_ls8c_ard_3-0-0_089087_2015-09-08_final
2015-09-09 09:15:35	ga_ls8c_ard_3-0-0_089088_2015-09-08_final
2015-09-09 09:15:59	ga_ls8c_ard_3-0-0_089089_2015-09-08_final
2015-09-09 09:16:23	ga_ls8c_ard_3-0-0_089090_2015-09-08_final
2015-09-09 10:46:05	ga_ls8c_ard_3-0-0_105067_2015-09-09_final
2015-09-09 10:46:29	ga_ls8c_ard_3-0-0_105068_2015-09-09_final
2015-09-09 10:46:53	ga_ls8c_ard_3-0-0_105069_2015-09-09_final
2015-09-09 10:47:17	ga_ls8c_ard_3-0-0_105070_2015-09-09_final
2015-09-09 10:47:41	ga_ls8c_ard_3-0-0_105071_2015-09-09_final
2015-09-09 10:48:05	ga_ls8c_ard_3-0-0_105072_2015-09-09_final
2015-09-09 10:48:29	ga_ls8c_ard_3-0-0_105073_2015-09-09_final
2015-09-09 10:48:53	ga_ls8c_ard_3-0-0_105074_2015-09-09_final
2015-09-09 10:49:17	ga_ls8c_ard_3-0-0_105075_2015-09-09_final
2015-09-09 10:49:41	ga_ls8c_ard_3-0-0_105076_2015-09-09_final
2015-09-09 10:50:05	ga_ls8c_ard_3-0-0_105077_2015-09-09_final
2015-09-09 10:50:28	ga_ls8c_ard_3-0-0_105078_2015-09-09_final
2015-09-09 10:50:52	ga_ls8c_ard_3-0-0_105079_2015-09-09_final
2015-09-09 10:51:16	ga_ls8c_ard_3-0-0_105080_2015-09-09_final
2015-09-09 10:51:40	ga_ls8c_ard_3-0-0_105081_2015-09-09_final
2015-09-09 10:52:04	ga_ls8c_ard_3-0-0_105082_2015-09-09_final
2015-09-09 10:52:28	ga_ls8c_ard_3-0-0_105083_2015-09-09_final
2015-09-14 09:27:23	ga_ls8c_ard_3-0-0_092071_2015-09-13_final
2015-09-14 09:27:47	ga_ls8c_ard_3-0-0_092072_2015-09-13_final
2015-09-14 09:28:11	ga_ls8c_ard_3-0-0_092073_2015-09-13_final
2015-09-14 09:28:35	ga_ls8c_ard_3-0-0_092074_2015-09-13_final
2015-09-14 09:28:59	ga_ls8c_ard_3-0-0_092075_2015-09-13_final
2015-09-14 09:29:23	ga_ls8c_ard_3-0-0_092076_2015-09-13_final
2015-09-14 09:29:47	ga_ls8c_ard_3-0-0_092077_2015-09-13_final
2015-09-14 09:30:11	ga_ls8c_ard_3-0-0_092078_2015-09-14_final
2015-09-14 09:30:35	ga_ls8c_ard_3-0-0_092079_2015-09-14_final
2015-09-14 09:30:59	ga_ls8c_ard_3-0-0_092080_2015-09-14_final
2015-09-14 09:31:23	ga_ls8c_ard_3-0-0_092081_2015-09-14_final
2015-09-14 09:31:46	ga_ls8c_ard_3-0-0_092082_2015-09-14_final
2015-09-14 09:32:10	ga_ls8c_ard_3-0-0_092083_2015-09-14_final
2015-09-14 09:32:34	ga_ls8c_ard_3-0-0_092084_2015-09-14_final
2015-09-14 09:32:58	ga_ls8c_ard_3-0-0_092085_2015-09-14_final
2015-09-14 09:33:22	ga_ls8c_ard_3-0-0_092086_2015-09-14_final
2015-09-14 09:33:46	ga_ls8c_ard_3-0-0_092087_2015-09-14_final
2015-09-14 09:34:10	ga_ls8c_ard_3-0-0_092088_2015-09-14_final
2015-09-14 09:34:34	ga_ls8c_ard_3-0-0_092089_2015-09-14_final
2015-09-14 09:34:58	ga_ls8c_ard_3-0-0_092090_2015-09-14_final
2015-09-16 09:16:14	ga_ls8c_ard_3-0-0_090074_2015-09-15_final
2015-09-16 09:16:38	ga_ls8c_ard_3-0-0_090075_2015-09-15_final
2015-09-16 09:17:02	ga_ls8c_ard_3-0-0_090076_2015-09-15_final
2015-09-16 09:17:26	ga_ls8c_ard_3-0-0_090077_2015-09-15_final
2015-09-16 09:17:50	ga_ls8c_ard_3-0-0_090078_2015-09-15_final
2015-09-16 09:18:14	ga_ls8c_ard_3-0-0_090079_2015-09-15_final
2015-09-16 09:18:38	ga_ls8c_ard_3-0-0_090080_2015-09-15_final
2015-09-16 09:19:02	ga_ls8c_ard_3-0-0_090081_2015-09-15_final
2015-09-16 09:19:26	ga_ls8c_ard_3-0-0_090082_2015-09-15_final
2015-09-16 09:19:50	ga_ls8c_ard_3-0-0_090083_2015-09-15_final
2015-09-16 09:20:14	ga_ls8c_ard_3-0-0_090084_2015-09-15_final
2015-09-16 09:20:38	ga_ls8c_ard_3-0-0_090085_2015-09-15_final
2015-09-16 09:21:02	ga_ls8c_ard_3-0-0_090086_2015-09-15_final
2015-09-16 09:21:26	ga_ls8c_ard_3-0-0_090087_2015-09-15_final
2015-09-16 09:21:50	ga_ls8c_ard_3-0-0_090088_2015-09-15_final
2015-09-16 09:22:14	ga_ls8c_ard_3-0-0_090089_2015-09-15_final
2015-09-16 09:22:37	ga_ls8c_ard_3-0-0_090090_2015-09-15_final

Return to ga_ls8c_ard_3 across September 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

September

All days