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
2014-07-17 10:21:34	ga_ls8c_ard_3-0-0_100083_2014-07-17_final
2014-07-17 10:21:58	ga_ls8c_ard_3-0-0_100084_2014-07-17_final
2014-07-22 10:34:55	ga_ls8c_ard_3-0-0_103070_2014-07-22_final
2014-07-22 10:35:19	ga_ls8c_ard_3-0-0_103071_2014-07-22_final
2014-07-22 10:35:43	ga_ls8c_ard_3-0-0_103072_2014-07-22_final
2014-07-22 10:36:07	ga_ls8c_ard_3-0-0_103073_2014-07-22_final
2014-07-22 10:36:31	ga_ls8c_ard_3-0-0_103074_2014-07-22_final
2014-07-22 10:36:55	ga_ls8c_ard_3-0-0_103075_2014-07-22_final
2014-07-22 10:37:19	ga_ls8c_ard_3-0-0_103076_2014-07-22_final
2014-07-24 10:26:09	ga_ls8c_ard_3-0-0_101079_2014-07-24_final
2014-07-24 10:26:33	ga_ls8c_ard_3-0-0_101080_2014-07-24_final
2014-07-24 10:26:57	ga_ls8c_ard_3-0-0_101081_2014-07-24_final
2014-07-24 10:27:21	ga_ls8c_ard_3-0-0_101082_2014-07-24_final
2014-07-24 10:27:45	ga_ls8c_ard_3-0-0_101083_2014-07-24_final
2014-10-10 10:35:15	ga_ls8c_ard_3-0-0_103070_2014-10-10_final
2014-10-10 10:35:39	ga_ls8c_ard_3-0-0_103071_2014-10-10_final
2014-10-10 10:36:03	ga_ls8c_ard_3-0-0_103072_2014-10-10_final
2014-10-10 10:36:27	ga_ls8c_ard_3-0-0_103073_2014-10-10_final
2014-10-10 10:36:50	ga_ls8c_ard_3-0-0_103074_2014-10-10_final
2014-10-10 10:37:14	ga_ls8c_ard_3-0-0_103075_2014-10-10_final
2014-10-10 10:37:38	ga_ls8c_ard_3-0-0_103076_2014-10-10_final
2014-10-12 10:26:29	ga_ls8c_ard_3-0-0_101079_2014-10-12_final
2014-10-12 10:26:53	ga_ls8c_ard_3-0-0_101080_2014-10-12_final
2014-10-12 10:27:17	ga_ls8c_ard_3-0-0_101081_2014-10-12_final
2014-10-12 10:27:41	ga_ls8c_ard_3-0-0_101082_2014-10-12_final
2014-10-12 10:28:05	ga_ls8c_ard_3-0-0_101083_2014-10-12_final
2014-12-08 10:21:49	ga_ls8c_ard_3-0-0_100083_2014-12-08_final
2014-12-08 10:22:13	ga_ls8c_ard_3-0-0_100084_2014-12-08_final
2015-08-17 10:39:45	ga_ls8c_ard_3-0-0_104067_2015-08-17_final
2015-08-17 10:40:09	ga_ls8c_ard_3-0-0_104068_2015-08-17_final
2015-08-17 10:40:33	ga_ls8c_ard_3-0-0_104069_2015-08-17_final
2015-08-17 10:40:57	ga_ls8c_ard_3-0-0_104070_2015-08-17_final
2015-08-17 10:41:21	ga_ls8c_ard_3-0-0_104071_2015-08-17_final
2015-08-19 10:30:36	ga_ls8c_ard_3-0-0_102075_2015-08-19_final
2015-08-19 10:31:00	ga_ls8c_ard_3-0-0_102076_2015-08-19_final
2015-08-19 10:31:24	ga_ls8c_ard_3-0-0_102077_2015-08-19_final
2015-08-19 10:31:48	ga_ls8c_ard_3-0-0_102078_2015-08-19_final
2015-08-19 10:32:12	ga_ls8c_ard_3-0-0_102079_2015-08-19_final
2015-08-19 10:32:36	ga_ls8c_ard_3-0-0_102080_2015-08-19_final
2015-09-02 10:39:51	ga_ls8c_ard_3-0-0_104067_2015-09-02_final
2015-09-02 10:40:14	ga_ls8c_ard_3-0-0_104068_2015-09-02_final
2015-09-02 10:40:38	ga_ls8c_ard_3-0-0_104069_2015-09-02_final
2015-09-02 10:41:02	ga_ls8c_ard_3-0-0_104070_2015-09-02_final
2015-09-02 10:41:26	ga_ls8c_ard_3-0-0_104071_2015-09-02_final
2015-09-04 10:30:41	ga_ls8c_ard_3-0-0_102075_2015-09-04_final
2015-09-04 10:31:05	ga_ls8c_ard_3-0-0_102076_2015-09-04_final
2015-09-04 10:31:29	ga_ls8c_ard_3-0-0_102077_2015-09-04_final
2015-09-04 10:31:53	ga_ls8c_ard_3-0-0_102078_2015-09-04_final
2015-09-04 10:32:17	ga_ls8c_ard_3-0-0_102079_2015-09-04_final
2015-09-04 10:32:41	ga_ls8c_ard_3-0-0_102080_2015-09-04_final
2015-09-04 10:33:04	ga_ls8c_ard_3-0-0_102081_2015-09-04_final
2015-11-05 10:40:33	ga_ls8c_ard_3-0-0_104068_2015-11-05_final
2015-11-05 10:40:57	ga_ls8c_ard_3-0-0_104069_2015-11-05_final
2015-11-05 10:41:21	ga_ls8c_ard_3-0-0_104070_2015-11-05_final
2015-11-05 10:41:45	ga_ls8c_ard_3-0-0_104071_2015-11-05_final
2015-11-21 10:40:10	ga_ls8c_ard_3-0-0_104067_2015-11-21_final
2015-11-21 10:40:34	ga_ls8c_ard_3-0-0_104068_2015-11-21_final
2015-11-21 10:40:58	ga_ls8c_ard_3-0-0_104069_2015-11-21_final
2015-11-21 10:41:22	ga_ls8c_ard_3-0-0_104070_2015-11-21_final
2015-11-21 10:41:46	ga_ls8c_ard_3-0-0_104071_2015-11-21_final
2015-11-23 10:31:01	ga_ls8c_ard_3-0-0_102075_2015-11-23_final
2015-11-23 10:31:25	ga_ls8c_ard_3-0-0_102076_2015-11-23_final
2015-11-23 10:31:49	ga_ls8c_ard_3-0-0_102077_2015-11-23_final
2015-11-23 10:32:12	ga_ls8c_ard_3-0-0_102078_2015-11-23_final
2015-11-23 10:32:36	ga_ls8c_ard_3-0-0_102079_2015-11-23_final
2015-11-23 10:33:00	ga_ls8c_ard_3-0-0_102080_2015-11-23_final
2015-11-25 10:21:51	ga_ls8c_ard_3-0-0_100083_2015-11-25_final
2015-11-25 10:22:15	ga_ls8c_ard_3-0-0_100084_2015-11-25_final
2015-11-25 10:22:39	ga_ls8c_ard_3-0-0_100085_2015-11-25_final
2019-02-10 10:35:12	ga_ls8c_ard_3-0-0_103071_2019-02-10_final
2019-02-10 10:35:36	ga_ls8c_ard_3-0-0_103072_2019-02-10_final
2019-02-10 10:36:00	ga_ls8c_ard_3-0-0_103073_2019-02-10_final
2019-02-10 10:36:24	ga_ls8c_ard_3-0-0_103074_2019-02-10_final
2019-02-10 10:36:48	ga_ls8c_ard_3-0-0_103075_2019-02-10_final
2019-02-10 10:37:12	ga_ls8c_ard_3-0-0_103076_2019-02-10_final
2019-04-08 10:30:22	ga_ls8c_ard_3-1-0_102075_2019-04-08_final
2019-04-08 10:30:46	ga_ls8c_ard_3-1-0_102076_2019-04-08_final
2019-04-08 10:31:10	ga_ls8c_ard_3-1-0_102077_2019-04-08_final
2019-04-08 10:31:34	ga_ls8c_ard_3-1-0_102078_2019-04-08_final
2019-04-08 10:31:58	ga_ls8c_ard_3-1-0_102079_2019-04-08_final
2019-04-08 10:32:22	ga_ls8c_ard_3-1-0_102080_2019-04-08_final
2019-04-08 10:32:46	ga_ls8c_ard_3-1-0_102081_2019-04-08_final
2019-04-10 10:21:11	ga_ls8c_ard_3-1-0_100083_2019-04-10_final
2019-04-10 10:21:35	ga_ls8c_ard_3-1-0_100084_2019-04-10_final
2019-04-10 10:21:59	ga_ls8c_ard_3-1-0_100085_2019-04-10_final
2019-04-17 10:25:44	ga_ls8c_ard_3-1-0_101079_2019-04-17_final
2019-04-17 10:26:08	ga_ls8c_ard_3-1-0_101080_2019-04-17_final
2019-04-17 10:26:31	ga_ls8c_ard_3-1-0_101081_2019-04-17_final
2019-11-09 10:35:25	ga_ls8c_ard_3-1-0_103070_2019-11-09_final
2019-11-09 10:35:49	ga_ls8c_ard_3-1-0_103071_2019-11-09_final
2019-11-09 10:36:13	ga_ls8c_ard_3-1-0_103072_2019-11-09_final
2019-11-09 10:36:37	ga_ls8c_ard_3-1-0_103073_2019-11-09_final
2019-11-09 10:37:01	ga_ls8c_ard_3-1-0_103074_2019-11-09_final
2019-11-09 10:37:25	ga_ls8c_ard_3-1-0_103075_2019-11-09_final
2019-11-09 10:37:49	ga_ls8c_ard_3-1-0_103076_2019-11-09_final
2019-11-11 10:26:38	ga_ls8c_ard_3-1-0_101079_2019-11-11_final
2019-11-11 10:27:02	ga_ls8c_ard_3-1-0_101080_2019-11-11_final
2019-11-11 10:27:26	ga_ls8c_ard_3-1-0_101081_2019-11-11_final
2019-11-11 10:27:50	ga_ls8c_ard_3-1-0_101082_2019-11-11_final
2019-11-11 10:28:14	ga_ls8c_ard_3-1-0_101083_2019-11-11_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