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
2015-12-05 10:58:55	ga_ls8c_ard_3-0-0_106083_2015-12-05_final
2015-12-05 10:59:19	ga_ls8c_ard_3-0-0_106084_2015-12-05_final
2016-01-20 11:07:38	ga_ls8c_ard_3-0-0_108074_2016-01-20_final
2016-01-20 11:08:02	ga_ls8c_ard_3-0-0_108075_2016-01-20_final
2016-01-20 11:08:26	ga_ls8c_ard_3-0-0_108076_2016-01-20_final
2016-01-20 11:08:50	ga_ls8c_ard_3-0-0_108077_2016-01-20_final
2016-01-20 11:09:14	ga_ls8c_ard_3-0-0_108078_2016-01-20_final
2016-01-20 11:09:38	ga_ls8c_ard_3-0-0_108079_2016-01-20_final
2016-01-20 11:10:01	ga_ls8c_ard_3-0-0_108080_2016-01-20_final
2016-01-22 10:58:52	ga_ls8c_ard_3-0-0_106083_2016-01-22_final
2016-01-22 10:59:16	ga_ls8c_ard_3-0-0_106084_2016-01-22_final
2016-01-27 11:12:12	ga_ls8c_ard_3-0-0_109070_2016-01-27_final
2016-01-27 11:12:36	ga_ls8c_ard_3-0-0_109071_2016-01-27_final
2016-01-27 11:13:00	ga_ls8c_ard_3-0-0_109072_2016-01-27_final
2016-01-27 11:13:24	ga_ls8c_ard_3-0-0_109073_2016-01-27_final
2016-01-27 11:13:48	ga_ls8c_ard_3-0-0_109074_2016-01-27_final
2016-01-27 11:14:12	ga_ls8c_ard_3-0-0_109075_2016-01-27_final
2016-01-29 11:03:25	ga_ls8c_ard_3-0-0_107079_2016-01-29_final
2016-01-29 11:03:49	ga_ls8c_ard_3-0-0_107080_2016-01-29_final
2016-01-29 11:04:13	ga_ls8c_ard_3-0-0_107081_2016-01-29_final
2016-01-29 11:04:37	ga_ls8c_ard_3-1-0_107082_2016-01-29_final
2016-01-29 11:05:01	ga_ls8c_ard_3-0-0_107083_2016-01-29_final
2016-01-29 11:05:25	ga_ls8c_ard_3-0-0_107084_2016-01-29_final
2016-04-16 11:11:42	ga_ls8c_ard_3-0-0_109070_2016-04-16_final
2016-04-16 11:12:06	ga_ls8c_ard_3-0-0_109071_2016-04-16_final
2016-04-16 11:12:30	ga_ls8c_ard_3-0-0_109072_2016-04-16_final
2016-04-16 11:12:54	ga_ls8c_ard_3-0-0_109073_2016-04-16_final
2016-04-16 11:13:18	ga_ls8c_ard_3-0-0_109074_2016-04-16_final
2016-04-16 11:13:42	ga_ls8c_ard_3-1-0_109075_2016-04-16_final
2016-04-18 11:02:55	ga_ls8c_ard_3-0-0_107079_2016-04-18_final
2016-04-18 11:03:19	ga_ls8c_ard_3-0-0_107080_2016-04-18_final
2016-04-18 11:03:43	ga_ls8c_ard_3-0-0_107081_2016-04-18_final
2016-04-18 11:04:07	ga_ls8c_ard_3-1-0_107082_2016-04-18_final
2016-04-18 11:04:31	ga_ls8c_ard_3-0-0_107083_2016-04-18_final
2016-04-18 11:04:55	ga_ls8c_ard_3-0-0_107084_2016-04-18_final
2016-05-04 11:02:35	ga_ls8c_ard_3-0-0_107078_2016-05-04_final
2016-05-04 11:02:59	ga_ls8c_ard_3-0-0_107079_2016-05-04_final
2016-05-04 11:03:23	ga_ls8c_ard_3-0-0_107080_2016-05-04_final
2016-05-04 11:03:47	ga_ls8c_ard_3-0-0_107081_2016-05-04_final
2016-05-11 11:07:05	ga_ls8c_ard_3-0-0_108074_2016-05-11_final
2016-05-11 11:07:29	ga_ls8c_ard_3-0-0_108075_2016-05-11_final
2016-05-11 11:07:53	ga_ls8c_ard_3-0-0_108076_2016-05-11_final
2016-05-11 11:08:17	ga_ls8c_ard_3-0-0_108077_2016-05-11_final
2016-05-11 11:08:41	ga_ls8c_ard_3-0-0_108078_2016-05-11_final
2016-05-11 11:09:05	ga_ls8c_ard_3-0-0_108079_2016-05-11_final
2016-05-11 11:09:29	ga_ls8c_ard_3-0-0_108080_2016-05-11_final
2016-05-13 10:58:18	ga_ls8c_ard_3-0-0_106083_2016-05-13_final
2016-05-13 10:58:42	ga_ls8c_ard_3-0-0_106084_2016-05-13_final
2017-09-01 11:17:13	ga_ls8c_ard_3-0-0_110067_2017-09-01_final
2017-09-01 11:17:37	ga_ls8c_ard_3-0-0_110068_2017-09-01_final
2017-09-01 11:18:01	ga_ls8c_ard_3-0-0_110069_2017-09-01_final
2017-09-01 11:18:25	ga_ls8c_ard_3-0-0_110070_2017-09-01_final
2017-09-03 11:07:39	ga_ls8c_ard_3-0-0_108074_2017-09-03_final
2017-09-03 11:08:03	ga_ls8c_ard_3-0-0_108075_2017-09-03_final
2017-09-03 11:08:27	ga_ls8c_ard_3-0-0_108076_2017-09-03_final
2017-09-03 11:08:51	ga_ls8c_ard_3-0-0_108077_2017-09-03_final
2017-09-03 11:09:15	ga_ls8c_ard_3-0-0_108078_2017-09-03_final
2017-09-03 11:09:39	ga_ls8c_ard_3-0-0_108079_2017-09-03_final
2017-09-03 11:10:03	ga_ls8c_ard_3-0-0_108080_2017-09-03_final
2017-10-03 11:17:21	ga_ls8c_ard_3-0-0_110067_2017-10-03_final
2017-10-03 11:17:45	ga_ls8c_ard_3-0-0_110068_2017-10-03_final
2017-10-03 11:18:09	ga_ls8c_ard_3-0-0_110069_2017-10-03_final
2017-10-03 11:18:33	ga_ls8c_ard_3-0-0_110070_2017-10-03_final
2017-10-05 11:07:48	ga_ls8c_ard_3-0-0_108074_2017-10-05_final
2017-10-05 11:08:12	ga_ls8c_ard_3-0-0_108075_2017-10-05_final
2017-10-05 11:08:36	ga_ls8c_ard_3-0-0_108076_2017-10-05_final
2017-10-05 11:09:00	ga_ls8c_ard_3-0-0_108077_2017-10-05_final
2017-10-05 11:09:24	ga_ls8c_ard_3-0-0_108078_2017-10-05_final
2017-10-05 11:09:48	ga_ls8c_ard_3-0-0_108079_2017-10-05_final
2017-10-05 11:10:12	ga_ls8c_ard_3-0-0_108080_2017-10-05_final
2017-10-14 11:03:39	ga_ls8c_ard_3-0-0_107079_2017-10-14_final
2017-10-14 11:04:03	ga_ls8c_ard_3-0-0_107080_2017-10-14_final
2017-10-14 11:04:27	ga_ls8c_ard_3-0-0_107081_2017-10-14_final
2017-10-14 11:04:51	ga_ls8c_ard_3-1-0_107082_2017-10-14_final
2017-10-14 11:05:15	ga_ls8c_ard_3-0-0_107083_2017-10-14_final
2017-10-14 11:05:39	ga_ls8c_ard_3-0-0_107084_2017-10-14_final
2017-11-24 10:58:58	ga_ls8c_ard_3-0-0_106083_2017-11-24_final
2017-11-24 10:59:22	ga_ls8c_ard_3-0-0_106084_2017-11-24_final
2017-12-26 10:58:57	ga_ls8c_ard_3-0-0_106083_2017-12-26_final
2017-12-26 10:59:21	ga_ls8c_ard_3-0-0_106084_2017-12-26_final
2019-12-12 11:17:25	ga_ls8c_ard_3-1-0_110067_2019-12-12_final
2019-12-12 11:17:49	ga_ls8c_ard_3-1-0_110068_2019-12-12_final
2019-12-12 11:18:13	ga_ls8c_ard_3-1-0_110069_2019-12-12_final
2019-12-12 11:18:37	ga_ls8c_ard_3-1-0_110070_2019-12-12_final
2020-01-13 11:17:18	ga_ls8c_ard_3-1-0_110067_2020-01-13_final
2020-01-13 11:17:42	ga_ls8c_ard_3-1-0_110068_2020-01-13_final
2020-01-13 11:18:06	ga_ls8c_ard_3-1-0_110069_2020-01-13_final
2020-01-13 11:18:30	ga_ls8c_ard_3-1-0_110070_2020-01-13_final
2020-01-13 11:18:53	ga_ls8c_ard_3-1-0_110071_2020-01-13_final
2020-02-18 10:58:48	ga_ls8c_ard_3-1-0_106083_2020-02-18_final
2020-02-18 10:59:12	ga_ls8c_ard_3-1-0_106084_2020-02-18_final
2020-03-17 11:16:57	ga_ls8c_ard_3-1-0_110067_2020-03-17_final
2020-03-17 11:17:21	ga_ls8c_ard_3-1-0_110068_2020-03-17_final
2020-03-17 11:17:45	ga_ls8c_ard_3-1-0_110069_2020-03-17_final
2020-03-17 11:18:09	ga_ls8c_ard_3-1-0_110070_2020-03-17_final
2020-04-02 11:16:48	ga_ls8c_ard_3-1-0_110067_2020-04-02_final
2020-04-02 11:17:12	ga_ls8c_ard_3-1-0_110068_2020-04-02_final
2020-04-02 11:17:36	ga_ls8c_ard_3-1-0_110069_2020-04-02_final
2020-04-02 11:18:00	ga_ls8c_ard_3-1-0_110070_2020-04-02_final
2020-05-08 10:58:10	ga_ls8c_ard_3-1-0_106083_2020-05-08_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