Search ga_ls8c_ard_3 across June 2020

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
2020-06-09 09:15:53	ga_ls8c_ard_3-1-0_090074_2020-06-08_final
2020-06-09 09:16:17	ga_ls8c_ard_3-1-0_090075_2020-06-08_final
2020-06-09 09:16:41	ga_ls8c_ard_3-1-0_090076_2020-06-08_final
2020-06-09 09:17:05	ga_ls8c_ard_3-1-0_090077_2020-06-08_final
2020-06-09 09:17:29	ga_ls8c_ard_3-1-0_090078_2020-06-08_final
2020-06-09 09:17:53	ga_ls8c_ard_3-1-0_090079_2020-06-08_final
2020-06-09 09:18:17	ga_ls8c_ard_3-1-0_090080_2020-06-08_final
2020-06-09 09:18:41	ga_ls8c_ard_3-1-0_090081_2020-06-08_final
2020-06-09 09:19:05	ga_ls8c_ard_3-1-0_090082_2020-06-08_final
2020-06-09 09:19:29	ga_ls8c_ard_3-1-0_090083_2020-06-08_final
2020-06-09 09:19:53	ga_ls8c_ard_3-1-0_090084_2020-06-08_final
2020-06-09 09:20:17	ga_ls8c_ard_3-1-0_090085_2020-06-08_final
2020-06-09 09:20:40	ga_ls8c_ard_3-1-0_090086_2020-06-08_final
2020-06-09 09:21:04	ga_ls8c_ard_3-1-0_090087_2020-06-08_final
2020-06-16 09:21:20	ga_ls8c_ard_3-1-0_091072_2020-06-15_final
2020-06-16 09:21:44	ga_ls8c_ard_3-1-0_091073_2020-06-15_final
2020-06-16 09:22:08	ga_ls8c_ard_3-1-0_091074_2020-06-15_final
2020-06-16 09:22:32	ga_ls8c_ard_3-1-0_091075_2020-06-15_final
2020-06-16 09:22:56	ga_ls8c_ard_3-1-0_091076_2020-06-15_final
2020-06-16 09:23:20	ga_ls8c_ard_3-1-0_091077_2020-06-15_final
2020-06-16 09:23:44	ga_ls8c_ard_3-1-0_091078_2020-06-15_final
2020-06-16 09:24:08	ga_ls8c_ard_3-1-0_091079_2020-06-15_final
2020-06-16 09:24:32	ga_ls8c_ard_3-1-0_091080_2020-06-15_final
2020-06-16 09:24:56	ga_ls8c_ard_3-1-0_091081_2020-06-15_final
2020-06-16 09:25:20	ga_ls8c_ard_3-1-0_091082_2020-06-15_final
2020-06-16 09:25:44	ga_ls8c_ard_3-1-0_091083_2020-06-15_final
2020-06-16 09:26:07	ga_ls8c_ard_3-1-0_091084_2020-06-15_final
2020-06-16 09:26:31	ga_ls8c_ard_3-1-0_091085_2020-06-15_final
2020-06-16 09:26:55	ga_ls8c_ard_3-1-0_091086_2020-06-15_final
2020-06-16 09:27:19	ga_ls8c_ard_3-1-0_091087_2020-06-15_final
2020-06-16 09:27:43	ga_ls8c_ard_3-1-0_091088_2020-06-15_final
2020-06-16 09:28:07	ga_ls8c_ard_3-1-0_091089_2020-06-15_final
2020-06-16 09:28:31	ga_ls8c_ard_3-1-0_091090_2020-06-15_final
2020-06-16 09:28:55	ga_ls8c_ard_3-1-0_091091_2020-06-15_final
2020-06-16 10:58:14	ga_ls8c_ard_3-1-0_107067_2020-06-16_final
2020-06-16 10:58:37	ga_ls8c_ard_3-1-0_107068_2020-06-16_final
2020-06-16 10:59:01	ga_ls8c_ard_3-1-0_107069_2020-06-16_final
2020-06-16 10:59:25	ga_ls8c_ard_3-1-0_107070_2020-06-16_final
2020-06-16 10:59:49	ga_ls8c_ard_3-1-0_107071_2020-06-16_final
2020-06-16 11:00:13	ga_ls8c_ard_3-1-0_107072_2020-06-16_final
2020-06-16 11:00:37	ga_ls8c_ard_3-1-0_107073_2020-06-16_final
2020-06-16 11:01:01	ga_ls8c_ard_3-1-0_107074_2020-06-16_final
2020-06-16 11:01:25	ga_ls8c_ard_3-1-0_107075_2020-06-16_final
2020-06-16 11:01:49	ga_ls8c_ard_3-1-0_107076_2020-06-16_final
2020-06-16 11:02:13	ga_ls8c_ard_3-1-0_107077_2020-06-16_final
2020-06-16 11:02:37	ga_ls8c_ard_3-1-0_107078_2020-06-16_final
2020-06-16 11:03:01	ga_ls8c_ard_3-1-0_107079_2020-06-16_final
2020-06-16 11:03:25	ga_ls8c_ard_3-1-0_107080_2020-06-16_final
2020-06-16 11:03:49	ga_ls8c_ard_3-1-0_107081_2020-06-16_final
2020-06-16 11:04:13	ga_ls8c_ard_3-1-0_107082_2020-06-16_final
2020-06-16 11:04:37	ga_ls8c_ard_3-1-0_107083_2020-06-16_final
2020-06-16 11:05:01	ga_ls8c_ard_3-1-0_107084_2020-06-16_final
2020-06-16 11:05:24	ga_ls8c_ard_3-1-0_107085_2020-06-16_final
2020-06-16 12:37:07	ga_ls8c_ard_3-2-1_123067_2020-06-16_final
2020-06-17 10:02:13	ga_ls8c_ard_3-2-1_098066_2020-06-17_final
2020-06-17 10:02:37	ga_ls8c_ard_3-1-0_098067_2020-06-17_final
2020-06-17 10:03:01	ga_ls8c_ard_3-1-0_098068_2020-06-17_final
2020-06-17 10:03:25	ga_ls8c_ard_3-1-0_098069_2020-06-17_final
2020-06-17 10:03:49	ga_ls8c_ard_3-1-0_098070_2020-06-17_final
2020-06-17 10:04:12	ga_ls8c_ard_3-1-0_098071_2020-06-17_final
2020-06-17 10:04:36	ga_ls8c_ard_3-1-0_098072_2020-06-17_final
2020-06-17 10:05:00	ga_ls8c_ard_3-1-0_098073_2020-06-17_final
2020-06-17 10:05:24	ga_ls8c_ard_3-1-0_098074_2020-06-17_final
2020-06-17 10:05:48	ga_ls8c_ard_3-1-0_098075_2020-06-17_final
2020-06-17 10:06:12	ga_ls8c_ard_3-1-0_098076_2020-06-17_final
2020-06-17 10:06:36	ga_ls8c_ard_3-1-0_098077_2020-06-17_final
2020-06-17 10:07:00	ga_ls8c_ard_3-1-0_098078_2020-06-17_final
2020-06-17 10:07:24	ga_ls8c_ard_3-1-0_098079_2020-06-17_final
2020-06-17 10:07:48	ga_ls8c_ard_3-1-0_098080_2020-06-17_final
2020-06-17 10:08:12	ga_ls8c_ard_3-1-0_098081_2020-06-17_final
2020-06-17 10:08:36	ga_ls8c_ard_3-1-0_098082_2020-06-17_final
2020-06-17 10:09:00	ga_ls8c_ard_3-1-0_098083_2020-06-17_final
2020-06-17 10:09:24	ga_ls8c_ard_3-1-0_098084_2020-06-17_final
2020-06-17 10:09:48	ga_ls8c_ard_3-1-0_098085_2020-06-17_final
2020-06-17 10:10:12	ga_ls8c_ard_3-1-0_098086_2020-06-17_final
2020-06-17 11:41:30	ga_ls8c_ard_3-1-0_114067_2020-06-17_final
2020-06-17 11:44:17	ga_ls8c_ard_3-1-0_114074_2020-06-17_final
2020-06-17 11:44:41	ga_ls8c_ard_3-1-0_114075_2020-06-17_final
2020-06-17 11:45:05	ga_ls8c_ard_3-1-0_114076_2020-06-17_final
2020-06-17 11:45:29	ga_ls8c_ard_3-1-0_114077_2020-06-17_final
2020-06-17 11:45:53	ga_ls8c_ard_3-1-0_114078_2020-06-17_final
2020-06-17 11:46:17	ga_ls8c_ard_3-1-0_114079_2020-06-17_final
2020-06-17 11:46:41	ga_ls8c_ard_3-1-0_114080_2020-06-17_final
2020-06-17 11:47:05	ga_ls8c_ard_3-1-0_114081_2020-06-17_final
2020-06-18 09:09:47	ga_ls8c_ard_3-1-0_089074_2020-06-17_final
2020-06-18 09:10:11	ga_ls8c_ard_3-1-0_089075_2020-06-17_final
2020-06-18 09:10:35	ga_ls8c_ard_3-1-0_089076_2020-06-17_final
2020-06-18 09:10:59	ga_ls8c_ard_3-1-0_089077_2020-06-17_final
2020-06-18 09:11:23	ga_ls8c_ard_3-1-0_089078_2020-06-17_final
2020-06-18 09:11:47	ga_ls8c_ard_3-1-0_089079_2020-06-17_final
2020-06-18 09:12:11	ga_ls8c_ard_3-1-0_089080_2020-06-17_final
2020-06-18 09:12:35	ga_ls8c_ard_3-1-0_089081_2020-06-17_final
2020-06-18 09:12:59	ga_ls8c_ard_3-1-0_089082_2020-06-17_final
2020-06-18 09:13:23	ga_ls8c_ard_3-1-0_089083_2020-06-17_final
2020-06-18 09:13:47	ga_ls8c_ard_3-1-0_089084_2020-06-17_final
2020-06-18 09:14:11	ga_ls8c_ard_3-1-0_089085_2020-06-17_final
2020-06-18 09:14:35	ga_ls8c_ard_3-1-0_089086_2020-06-17_final
2020-06-18 09:14:59	ga_ls8c_ard_3-1-0_089087_2020-06-17_final
2020-06-18 09:15:23	ga_ls8c_ard_3-1-0_089088_2020-06-17_final
2020-06-18 09:15:47	ga_ls8c_ard_3-1-0_089089_2020-06-17_final

Return to ga_ls8c_ard_3 across June 2020 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

2020

June

All days