Search ga_ls8c_ard_3 whole collection

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
2013-05-03 11:11:20	ga_ls8c_ard_3-0-0_108079_2013-05-03_final
2013-05-03 11:11:44	ga_ls8c_ard_3-0-0_108080_2013-05-03_final
2013-05-03 11:12:08	ga_ls8c_ard_3-0-0_108081_2013-05-03_final
2013-05-03 11:12:32	ga_ls8c_ard_3-0-0_108082_2013-05-03_final
2013-05-03 11:12:56	ga_ls8c_ard_3-0-0_108083_2013-05-03_final
2013-07-06 11:11:31	ga_ls8c_ard_3-0-0_108079_2013-07-06_final
2013-07-06 11:11:55	ga_ls8c_ard_3-0-0_108080_2013-07-06_final
2013-07-06 11:12:19	ga_ls8c_ard_3-0-0_108081_2013-07-06_final
2013-07-06 11:12:43	ga_ls8c_ard_3-0-0_108082_2013-07-06_final
2013-07-06 11:13:07	ga_ls8c_ard_3-0-0_108083_2013-07-06_final
2013-07-06 11:13:31	ga_ls8c_ard_3-0-0_108084_2013-07-06_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
2013-07-31 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
2013-07-31 11:07:21	ga_ls8c_ard_3-0-0_107084_2013-07-31_final
2013-08-14 11:15:44	ga_ls8c_ard_3-0-0_109074_2013-08-14_final
2013-08-14 11:16:08	ga_ls8c_ard_3-1-0_109075_2013-08-14_final
2013-08-14 11:16:32	ga_ls8c_ard_3-0-0_109076_2013-08-14_final
2013-08-14 11:16:56	ga_ls8c_ard_3-0-0_109077_2013-08-14_final
2013-08-14 11:17:19	ga_ls8c_ard_3-0-0_109078_2013-08-14_final
2013-08-14 11:17:43	ga_ls8c_ard_3-0-0_109079_2013-08-14_final
2013-08-14 11:18:07	ga_ls8c_ard_3-0-0_109080_2013-08-14_final
2013-08-16 11:06:34	ga_ls8c_ard_3-1-0_107082_2013-08-16_final
2013-08-16 11:06:58	ga_ls8c_ard_3-0-0_107083_2013-08-16_final
2013-08-16 11:07:22	ga_ls8c_ard_3-0-0_107084_2013-08-16_final
2013-09-06 11:20:44	ga_ls8c_ard_3-0-0_110071_2013-09-06_final
2013-09-06 11:21:08	ga_ls8c_ard_3-0-0_110072_2013-09-06_final
2013-09-06 11:21:32	ga_ls8c_ard_3-0-0_110073_2013-09-06_final
2013-09-06 11:21:56	ga_ls8c_ard_3-0-0_110074_2013-09-06_final
2013-09-06 11:22:20	ga_ls8c_ard_3-0-0_110075_2013-09-06_final
2013-09-08 11:11:10	ga_ls8c_ard_3-0-0_108078_2013-09-08_final
2013-09-08 11:11:34	ga_ls8c_ard_3-0-0_108079_2013-09-08_final
2013-09-08 11:11:58	ga_ls8c_ard_3-0-0_108080_2013-09-08_final
2013-09-08 11:12:22	ga_ls8c_ard_3-0-0_108081_2013-09-08_final
2013-09-08 11:12:45	ga_ls8c_ard_3-0-0_108082_2013-09-08_final
2013-09-08 11:13:09	ga_ls8c_ard_3-0-0_108083_2013-09-08_final
2013-09-08 11:13:33	ga_ls8c_ard_3-0-0_108084_2013-09-08_final
2013-09-22 11:20:37	ga_ls8c_ard_3-0-0_110071_2013-09-22_final
2013-09-22 11:21:01	ga_ls8c_ard_3-0-0_110072_2013-09-22_final
2013-09-22 11:21:25	ga_ls8c_ard_3-0-0_110073_2013-09-22_final
2013-09-22 11:21:49	ga_ls8c_ard_3-0-0_110074_2013-09-22_final
2013-09-22 11:22:13	ga_ls8c_ard_3-0-0_110075_2013-09-22_final
2013-09-24 11:11:26	ga_ls8c_ard_3-0-0_108079_2013-09-24_final
2013-09-24 11:11:50	ga_ls8c_ard_3-0-0_108080_2013-09-24_final
2013-09-24 11:12:14	ga_ls8c_ard_3-0-0_108081_2013-09-24_final
2013-09-24 11:12:38	ga_ls8c_ard_3-0-0_108082_2013-09-24_final
2013-09-24 11:13:02	ga_ls8c_ard_3-0-0_108083_2013-09-24_final
2013-09-24 11:13:26	ga_ls8c_ard_3-0-0_108084_2013-09-24_final
2013-10-08 11:20:36	ga_ls8c_ard_3-0-0_110071_2013-10-08_final
2013-10-08 11:21:00	ga_ls8c_ard_3-0-0_110072_2013-10-08_final
2013-10-08 11:21:24	ga_ls8c_ard_3-0-0_110073_2013-10-08_final
2013-10-08 11:21:47	ga_ls8c_ard_3-0-0_110074_2013-10-08_final
2013-10-08 11:22:11	ga_ls8c_ard_3-0-0_110075_2013-10-08_final
2013-10-10 11:11:25	ga_ls8c_ard_3-0-0_108079_2013-10-10_final
2013-10-10 11:11:49	ga_ls8c_ard_3-0-0_108080_2013-10-10_final
2013-10-10 11:12:13	ga_ls8c_ard_3-0-0_108081_2013-10-10_final
2013-10-19 11:06:47	ga_ls8c_ard_3-0-0_107083_2013-10-19_final
2013-10-19 11:07:11	ga_ls8c_ard_3-0-0_107084_2013-10-19_final
2013-10-26 11:11:17	ga_ls8c_ard_3-0-0_108079_2013-10-26_final
2017-05-05 11:13:02	ga_ls8c_ard_3-0-0_109074_2017-05-05_final
2017-05-05 11:13:25	ga_ls8c_ard_3-0-0_109075_2017-05-05_final
2017-05-05 11:13:49	ga_ls8c_ard_3-0-0_109076_2017-05-05_final
2017-05-05 11:14:13	ga_ls8c_ard_3-0-0_109077_2017-05-05_final
2017-05-05 11:14:37	ga_ls8c_ard_3-0-0_109078_2017-05-05_final
2017-05-05 11:15:01	ga_ls8c_ard_3-0-0_109079_2017-05-05_final
2017-05-05 11:15:25	ga_ls8c_ard_3-0-0_109080_2017-05-05_final
2017-05-07 11:04:17	ga_ls8c_ard_3-0-0_107083_2017-05-07_final
2017-05-07 11:04:41	ga_ls8c_ard_3-0-0_107084_2017-05-07_final
2017-05-07 11:05:05	ga_ls8c_ard_3-0-0_107085_2017-05-07_final
2017-07-10 11:04:21	ga_ls8c_ard_3-1-0_107082_2017-07-10_final
2017-07-10 11:04:45	ga_ls8c_ard_3-0-0_107083_2017-07-10_final
2017-07-10 11:05:09	ga_ls8c_ard_3-0-0_107084_2017-07-10_final
2017-07-10 11:05:33	ga_ls8c_ard_3-0-0_107085_2017-07-10_final
2020-03-01 11:18:16	ga_ls8c_ard_3-1-0_110070_2020-03-01_final
2020-03-01 11:18:40	ga_ls8c_ard_3-1-0_110071_2020-03-01_final
2020-03-01 11:19:04	ga_ls8c_ard_3-1-0_110072_2020-03-01_final
2020-03-01 11:19:28	ga_ls8c_ard_3-1-0_110073_2020-03-01_final
2020-03-01 11:19:52	ga_ls8c_ard_3-1-0_110074_2020-03-01_final
2020-03-01 11:20:16	ga_ls8c_ard_3-1-0_110075_2020-03-01_final
2020-03-03 11:09:29	ga_ls8c_ard_3-1-0_108079_2020-03-03_final
2020-03-03 11:09:53	ga_ls8c_ard_3-1-0_108080_2020-03-03_final
2020-03-03 11:10:17	ga_ls8c_ard_3-1-0_108081_2020-03-03_final
2020-03-03 11:10:41	ga_ls8c_ard_3-1-0_108082_2020-03-03_final
2020-03-03 11:11:05	ga_ls8c_ard_3-1-0_108083_2020-03-03_final
2020-03-03 11:11:29	ga_ls8c_ard_3-1-0_108084_2020-03-03_final
2020-03-08 11:23:12	ga_ls8c_ard_3-1-0_111067_2020-03-08_final
2020-03-08 11:23:36	ga_ls8c_ard_3-1-0_111068_2020-03-08_final
2020-03-08 11:24:00	ga_ls8c_ard_3-1-0_111069_2020-03-08_final
2020-03-08 11:24:24	ga_ls8c_ard_3-1-0_111070_2020-03-08_final
2020-05-06 11:08:57	ga_ls8c_ard_3-1-0_108079_2020-05-06_final
2020-05-06 11:09:21	ga_ls8c_ard_3-1-0_108080_2020-05-06_final
2020-05-06 11:09:45	ga_ls8c_ard_3-1-0_108081_2020-05-06_final
2020-05-06 11:10:09	ga_ls8c_ard_3-1-0_108082_2020-05-06_final
2020-05-06 11:10:33	ga_ls8c_ard_3-1-0_108083_2020-05-06_final

Return to ga_ls8c_ard_3 whole collection 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

All years