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
2015-12-22 11:38:35	ga_ls8c_ard_3-0-0_113074_2015-12-22_final
2015-12-22 11:38:59	ga_ls8c_ard_3-0-0_113075_2015-12-22_final
2015-12-22 11:39:23	ga_ls8c_ard_3-0-0_113076_2015-12-22_final
2015-12-22 11:39:47	ga_ls8c_ard_3-0-0_113077_2015-12-22_final
2015-12-22 11:40:11	ga_ls8c_ard_3-0-0_113078_2015-12-22_final
2015-12-22 11:40:35	ga_ls8c_ard_3-0-0_113079_2015-12-22_final
2015-12-22 11:40:59	ga_ls8c_ard_3-0-0_113080_2015-12-22_final
2015-12-24 11:29:49	ga_ls8c_ard_3-0-0_111083_2015-12-24_final
2015-12-24 11:30:13	ga_ls8c_ard_3-0-0_111084_2015-12-24_final
2015-12-24 11:30:37	ga_ls8c_ard_3-0-0_111085_2015-12-24_final
2016-05-05 11:44:14	ga_ls8c_ard_3-0-0_114074_2016-05-05_final
2016-05-05 11:44:38	ga_ls8c_ard_3-0-0_114075_2016-05-05_final
2016-05-07 11:33:51	ga_ls8c_ard_3-0-0_112079_2016-05-07_final
2016-05-07 11:34:15	ga_ls8c_ard_3-0-0_112080_2016-05-07_final
2016-05-07 11:34:39	ga_ls8c_ard_3-0-0_112081_2016-05-07_final
2016-05-07 11:35:03	ga_ls8c_ard_3-0-0_112082_2016-05-07_final
2016-05-07 11:35:27	ga_ls8c_ard_3-0-0_112083_2016-05-07_final
2016-05-07 11:35:51	ga_ls8c_ard_3-0-0_112084_2016-05-07_final
2016-11-22 11:38:47	ga_ls8c_ard_3-0-0_113074_2016-11-22_final
2016-11-22 11:39:11	ga_ls8c_ard_3-0-0_113075_2016-11-22_final
2016-11-22 11:39:35	ga_ls8c_ard_3-0-0_113076_2016-11-22_final
2016-11-22 11:39:59	ga_ls8c_ard_3-0-0_113077_2016-11-22_final
2016-11-22 11:40:23	ga_ls8c_ard_3-0-0_113078_2016-11-22_final
2016-11-22 11:40:47	ga_ls8c_ard_3-0-0_113079_2016-11-22_final
2016-11-22 11:41:11	ga_ls8c_ard_3-0-0_113080_2016-11-22_final
2016-12-08 11:38:45	ga_ls8c_ard_3-0-0_113074_2016-12-08_final
2016-12-08 11:39:09	ga_ls8c_ard_3-0-0_113075_2016-12-08_final
2016-12-08 11:39:33	ga_ls8c_ard_3-0-0_113076_2016-12-08_final
2016-12-08 11:39:57	ga_ls8c_ard_3-0-0_113077_2016-12-08_final
2016-12-08 11:40:21	ga_ls8c_ard_3-0-0_113078_2016-12-08_final
2016-12-08 11:40:45	ga_ls8c_ard_3-0-0_113079_2016-12-08_final
2016-12-08 11:41:09	ga_ls8c_ard_3-0-0_113080_2016-12-08_final
2016-12-10 11:29:59	ga_ls8c_ard_3-0-0_111083_2016-12-10_final
2016-12-10 11:30:22	ga_ls8c_ard_3-0-0_111084_2016-12-10_final
2016-12-10 11:30:46	ga_ls8c_ard_3-0-0_111085_2016-12-10_final
2019-03-04 11:38:31	ga_ls8c_ard_3-0-0_113075_2019-03-04_final
2019-03-04 11:38:55	ga_ls8c_ard_3-0-0_113076_2019-03-04_final
2019-03-04 11:39:19	ga_ls8c_ard_3-0-0_113077_2019-03-04_final
2019-03-04 11:39:42	ga_ls8c_ard_3-0-0_113078_2019-03-04_final
2019-03-04 11:40:06	ga_ls8c_ard_3-0-0_113079_2019-03-04_final
2019-03-04 11:40:30	ga_ls8c_ard_3-0-0_113080_2019-03-04_final
2019-03-06 11:29:20	ga_ls8c_ard_3-0-0_111083_2019-03-06_final
2019-03-06 11:29:44	ga_ls8c_ard_3-0-0_111084_2019-03-06_final
2019-03-06 11:30:08	ga_ls8c_ard_3-0-0_111085_2019-03-06_final
2019-04-07 11:29:11	ga_ls8c_ard_3-1-0_111083_2019-04-07_final
2019-04-07 11:29:35	ga_ls8c_ard_3-1-0_111084_2019-04-07_final
2019-04-07 11:29:59	ga_ls8c_ard_3-1-0_111085_2019-04-07_final
2019-04-21 11:38:16	ga_ls8c_ard_3-0-0_113075_2019-04-21_final
2019-04-21 11:38:40	ga_ls8c_ard_3-0-0_113076_2019-04-21_final
2019-04-21 11:39:04	ga_ls8c_ard_3-0-0_113077_2019-04-21_final
2019-04-21 11:39:28	ga_ls8c_ard_3-0-0_113078_2019-04-21_final
2019-04-21 11:39:52	ga_ls8c_ard_3-0-0_113079_2019-04-21_final
2019-04-21 11:40:16	ga_ls8c_ard_3-0-0_113080_2019-04-21_final
2019-04-23 11:29:05	ga_ls8c_ard_3-0-0_111083_2019-04-23_final
2019-04-23 11:29:29	ga_ls8c_ard_3-0-0_111084_2019-04-23_final
2019-04-23 11:29:53	ga_ls8c_ard_3-0-0_111085_2019-04-23_final
2019-04-30 11:33:41	ga_ls8c_ard_3-0-0_112079_2019-04-30_final
2019-04-30 11:34:04	ga_ls8c_ard_3-0-0_112080_2019-04-30_final
2019-04-30 11:34:28	ga_ls8c_ard_3-0-0_112081_2019-04-30_final
2019-04-30 11:34:52	ga_ls8c_ard_3-0-0_112082_2019-04-30_final
2019-04-30 11:35:16	ga_ls8c_ard_3-0-0_112083_2019-04-30_final
2019-04-30 11:35:40	ga_ls8c_ard_3-0-0_112084_2019-04-30_final
2019-05-23 11:38:06	ga_ls8c_ard_3-0-0_113074_2019-05-23_final
2019-05-23 11:38:30	ga_ls8c_ard_3-0-0_113075_2019-05-23_final
2019-05-23 11:38:54	ga_ls8c_ard_3-0-0_113076_2019-05-23_final
2019-05-23 11:39:18	ga_ls8c_ard_3-0-0_113077_2019-05-23_final
2019-05-23 11:39:41	ga_ls8c_ard_3-0-0_113078_2019-05-23_final
2019-05-23 11:40:05	ga_ls8c_ard_3-0-0_113079_2019-05-23_final
2019-05-25 11:29:21	ga_ls8c_ard_3-0-0_111083_2019-05-25_final
2019-05-25 11:29:45	ga_ls8c_ard_3-0-0_111084_2019-05-25_final
2019-05-25 11:30:09	ga_ls8c_ard_3-0-0_111085_2019-05-25_final
2019-06-08 11:38:14	ga_ls8c_ard_3-0-0_113074_2019-06-08_final
2019-06-08 11:38:37	ga_ls8c_ard_3-0-0_113075_2019-06-08_final
2019-06-08 11:39:01	ga_ls8c_ard_3-0-0_113076_2019-06-08_final
2019-06-08 11:39:25	ga_ls8c_ard_3-0-0_113077_2019-06-08_final
2019-06-08 11:39:49	ga_ls8c_ard_3-0-0_113078_2019-06-08_final
2019-06-08 11:40:13	ga_ls8c_ard_3-0-0_113079_2019-06-08_final
2019-06-08 11:40:37	ga_ls8c_ard_3-0-0_113080_2019-06-08_final
2019-06-10 11:29:28	ga_ls8c_ard_3-0-0_111083_2019-06-10_final
2019-06-10 11:29:52	ga_ls8c_ard_3-0-0_111084_2019-06-10_final
2019-06-10 11:30:16	ga_ls8c_ard_3-0-0_111085_2019-06-10_final
2019-06-24 11:38:19	ga_ls8c_ard_3-1-0_113074_2019-06-24_final
2019-06-24 11:38:43	ga_ls8c_ard_3-1-0_113075_2019-06-24_final
2019-06-24 11:39:07	ga_ls8c_ard_3-1-0_113076_2019-06-24_final
2019-06-24 11:39:31	ga_ls8c_ard_3-1-0_113077_2019-06-24_final
2019-06-24 11:39:55	ga_ls8c_ard_3-1-0_113078_2019-06-24_final
2019-06-24 11:40:19	ga_ls8c_ard_3-1-0_113079_2019-06-24_final
2019-06-24 11:40:43	ga_ls8c_ard_3-1-0_113080_2019-06-24_final
2019-06-26 11:29:34	ga_ls8c_ard_3-1-0_111083_2019-06-26_final
2019-06-26 11:29:57	ga_ls8c_ard_3-1-0_111084_2019-06-26_final
2019-06-26 11:30:21	ga_ls8c_ard_3-1-0_111085_2019-06-26_final
2020-04-23 11:37:59	ga_ls8c_ard_3-1-0_113074_2020-04-23_final
2020-04-23 11:38:23	ga_ls8c_ard_3-1-0_113075_2020-04-23_final
2020-04-23 11:38:47	ga_ls8c_ard_3-1-0_113076_2020-04-23_final
2020-04-23 11:39:11	ga_ls8c_ard_3-1-0_113077_2020-04-23_final
2020-04-23 11:39:35	ga_ls8c_ard_3-1-0_113078_2020-04-23_final
2020-04-23 11:39:59	ga_ls8c_ard_3-1-0_113079_2020-04-23_final
2020-04-23 11:40:23	ga_ls8c_ard_3-1-0_113080_2020-04-23_final
2020-07-14 11:29:32	ga_ls8c_ard_3-1-0_111083_2020-07-14_final
2020-07-14 11:29:56	ga_ls8c_ard_3-1-0_111084_2020-07-14_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