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
2013-04-03 09:52:12	ga_ls8c_ard_3-0-0_095082_2013-04-03_final
2013-04-03 09:52:36	ga_ls8c_ard_3-0-0_095083_2013-04-03_final
2013-04-03 09:53:00	ga_ls8c_ard_3-0-0_095084_2013-04-03_final
2013-04-03 09:53:24	ga_ls8c_ard_3-0-0_095085_2013-04-03_final
2013-04-03 09:53:48	ga_ls8c_ard_3-0-0_095086_2013-04-03_final
2013-05-01 09:47:36	ga_ls8c_ard_3-0-0_094086_2013-05-01_final
2013-05-04 10:10:56	ga_ls8c_ard_3-0-0_099067_2013-05-04_final
2013-05-04 10:11:20	ga_ls8c_ard_3-0-0_099068_2013-05-04_final
2013-05-04 10:11:44	ga_ls8c_ard_3-0-0_099069_2013-05-04_final
2013-05-04 10:12:08	ga_ls8c_ard_3-0-0_099070_2013-05-04_final
2013-05-06 10:01:23	ga_ls8c_ard_3-0-0_097074_2013-05-06_final
2013-05-06 10:01:47	ga_ls8c_ard_3-0-0_097075_2013-05-06_final
2013-05-06 10:02:11	ga_ls8c_ard_3-0-0_097076_2013-05-06_final
2013-05-06 10:02:35	ga_ls8c_ard_3-0-0_097077_2013-05-06_final
2013-05-06 10:02:59	ga_ls8c_ard_3-0-0_097078_2013-05-06_final
2013-05-06 10:03:23	ga_ls8c_ard_3-0-0_097079_2013-05-06_final
2013-05-06 10:03:47	ga_ls8c_ard_3-0-0_097080_2013-05-06_final
2013-06-21 10:11:03	ga_ls8c_ard_3-0-0_099067_2013-06-21_final
2013-06-21 10:11:26	ga_ls8c_ard_3-0-0_099068_2013-06-21_final
2013-06-21 10:11:50	ga_ls8c_ard_3-0-0_099069_2013-06-21_final
2013-06-21 10:12:14	ga_ls8c_ard_3-0-0_099070_2013-06-21_final
2013-06-23 10:01:29	ga_ls8c_ard_3-0-0_097074_2013-06-23_final
2013-06-23 10:01:53	ga_ls8c_ard_3-0-0_097075_2013-06-23_final
2013-06-23 10:02:17	ga_ls8c_ard_3-0-0_097076_2013-06-23_final
2013-06-23 10:02:40	ga_ls8c_ard_3-0-0_097077_2013-06-23_final
2013-06-23 10:03:04	ga_ls8c_ard_3-0-0_097078_2013-06-23_final
2013-06-23 10:03:28	ga_ls8c_ard_3-0-0_097079_2013-06-23_final
2013-06-23 10:03:52	ga_ls8c_ard_3-0-0_097080_2013-06-23_final
2013-06-25 09:52:20	ga_ls8c_ard_3-0-0_095082_2013-06-25_final
2013-06-25 09:52:43	ga_ls8c_ard_3-0-0_095083_2013-06-25_final
2013-06-25 09:53:07	ga_ls8c_ard_3-0-0_095084_2013-06-25_final
2013-06-25 09:53:31	ga_ls8c_ard_3-0-0_095085_2013-06-25_final
2013-06-25 09:53:55	ga_ls8c_ard_3-0-0_095086_2013-06-25_final
2013-06-30 10:06:07	ga_ls8c_ard_3-0-0_098070_2013-06-30_final
2013-06-30 10:06:30	ga_ls8c_ard_3-0-0_098071_2013-06-30_final
2013-06-30 10:06:54	ga_ls8c_ard_3-0-0_098072_2013-06-30_final
2013-06-30 10:07:18	ga_ls8c_ard_3-0-0_098073_2013-06-30_final
2013-06-30 10:07:42	ga_ls8c_ard_3-0-0_098074_2013-06-30_final
2013-06-30 10:08:06	ga_ls8c_ard_3-0-0_098075_2013-06-30_final
2013-08-28 09:52:27	ga_ls8c_ard_3-0-0_095082_2013-08-28_final
2013-08-28 09:52:51	ga_ls8c_ard_3-0-0_095083_2013-08-28_final
2013-08-28 09:53:14	ga_ls8c_ard_3-0-0_095084_2013-08-28_final
2013-08-28 09:53:38	ga_ls8c_ard_3-0-0_095085_2013-08-28_final
2013-08-28 09:54:02	ga_ls8c_ard_3-0-0_095086_2013-08-28_final
2013-08-28 09:54:26	ga_ls8c_ard_3-0-0_095087_2013-08-28_final
2015-10-01 10:09:09	ga_ls8c_ard_3-0-0_099067_2015-10-01_final
2015-10-01 10:09:33	ga_ls8c_ard_3-0-0_099068_2015-10-01_final
2015-10-01 10:09:57	ga_ls8c_ard_3-0-0_099069_2015-10-01_final
2015-10-01 10:10:20	ga_ls8c_ard_3-0-0_099070_2015-10-01_final
2015-10-03 09:59:35	ga_ls8c_ard_3-0-0_097074_2015-10-03_final
2015-10-03 09:59:59	ga_ls8c_ard_3-0-0_097075_2015-10-03_final
2015-10-03 10:00:23	ga_ls8c_ard_3-0-0_097076_2015-10-03_final
2015-10-03 10:00:47	ga_ls8c_ard_3-0-0_097077_2015-10-03_final
2015-10-03 10:01:11	ga_ls8c_ard_3-0-0_097078_2015-10-03_final
2015-10-03 10:01:34	ga_ls8c_ard_3-0-0_097079_2015-10-03_final
2015-10-03 10:01:58	ga_ls8c_ard_3-0-0_097080_2015-10-03_final
2015-11-02 10:09:15	ga_ls8c_ard_3-0-0_099067_2015-11-02_final
2015-11-02 10:09:39	ga_ls8c_ard_3-0-0_099068_2015-11-02_final
2015-11-02 10:10:02	ga_ls8c_ard_3-0-0_099069_2015-11-02_final
2015-11-02 10:10:26	ga_ls8c_ard_3-0-0_099070_2015-11-02_final
2015-11-04 09:59:41	ga_ls8c_ard_3-0-0_097074_2015-11-04_final
2015-11-04 10:00:05	ga_ls8c_ard_3-0-0_097075_2015-11-04_final
2015-11-04 10:00:28	ga_ls8c_ard_3-0-0_097076_2015-11-04_final
2015-11-04 10:00:52	ga_ls8c_ard_3-0-0_097077_2015-11-04_final
2015-11-04 10:01:16	ga_ls8c_ard_3-0-0_097078_2015-11-04_final
2015-11-04 10:01:40	ga_ls8c_ard_3-0-0_097079_2015-11-04_final
2015-11-04 10:02:04	ga_ls8c_ard_3-0-0_097080_2015-11-04_final
2021-04-24 10:08:21	ga_ls8c_ard_3-2-1_099066_2021-04-24_final
2021-04-24 10:08:45	ga_ls8c_ard_3-2-0_099067_2021-04-24_final
2021-04-24 10:09:09	ga_ls8c_ard_3-2-0_099068_2021-04-24_final
2021-04-24 10:09:33	ga_ls8c_ard_3-2-0_099069_2021-04-24_final
2021-04-24 10:09:57	ga_ls8c_ard_3-2-0_099070_2021-04-24_final
2021-05-14 09:49:58	ga_ls8c_ard_3-2-0_095082_2021-05-14_final
2021-05-14 09:50:22	ga_ls8c_ard_3-2-0_095083_2021-05-14_final
2021-05-14 09:50:46	ga_ls8c_ard_3-2-0_095084_2021-05-14_final
2021-05-14 09:51:10	ga_ls8c_ard_3-2-0_095085_2021-05-14_final
2021-05-14 09:51:34	ga_ls8c_ard_3-2-0_095086_2021-05-14_final
2021-05-14 09:51:58	ga_ls8c_ard_3-2-0_095087_2021-05-14_final
2021-05-14 09:52:22	ga_ls8c_ard_3-2-0_095088_2021-05-14_final
2021-05-28 09:59:16	ga_ls8c_ard_3-2-0_097074_2021-05-28_final
2021-05-28 09:59:40	ga_ls8c_ard_3-2-0_097075_2021-05-28_final
2021-05-28 10:00:04	ga_ls8c_ard_3-2-0_097076_2021-05-28_final
2021-05-28 10:00:28	ga_ls8c_ard_3-2-0_097077_2021-05-28_final
2021-05-28 10:00:52	ga_ls8c_ard_3-2-0_097078_2021-05-28_final
2021-05-28 10:01:16	ga_ls8c_ard_3-2-0_097079_2021-05-28_final
2021-05-28 10:01:40	ga_ls8c_ard_3-2-0_097080_2021-05-28_final
2021-05-30 09:50:07	ga_ls8c_ard_3-2-0_095082_2021-05-30_final
2021-05-30 09:50:31	ga_ls8c_ard_3-2-0_095083_2021-05-30_final
2021-05-30 09:50:55	ga_ls8c_ard_3-2-0_095084_2021-05-30_final
2021-05-30 09:51:19	ga_ls8c_ard_3-2-0_095085_2021-05-30_final
2021-05-30 09:51:43	ga_ls8c_ard_3-2-0_095086_2021-05-30_final
2021-05-30 09:52:07	ga_ls8c_ard_3-2-0_095087_2021-05-30_final
2021-05-30 09:52:31	ga_ls8c_ard_3-2-0_095088_2021-05-30_final
2021-06-24 09:45:41	ga_ls8c_ard_3-2-0_094086_2021-06-24_final
2021-06-24 09:46:05	ga_ls8c_ard_3-2-0_094087_2021-06-24_final
2021-06-24 09:46:29	ga_ls8c_ard_3-2-0_094088_2021-06-24_final
2021-06-27 10:08:37	ga_ls8c_ard_3-2-1_099066_2021-06-27_final
2021-06-27 10:09:01	ga_ls8c_ard_3-2-0_099067_2021-06-27_final
2021-06-27 10:09:25	ga_ls8c_ard_3-2-0_099068_2021-06-27_final
2021-06-27 10:09:49	ga_ls8c_ard_3-2-0_099069_2021-06-27_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years