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
2013-06-09 09:48:25	ga_ls8c_ard_3-0-0_095072_2013-06-09_final
2013-06-09 09:48:49	ga_ls8c_ard_3-0-0_095073_2013-06-09_final
2013-06-09 09:49:13	ga_ls8c_ard_3-0-0_095074_2013-06-09_final
2013-06-11 09:38:27	ga_ls8c_ard_3-0-0_093078_2013-06-11_final
2013-06-11 09:38:51	ga_ls8c_ard_3-0-0_093079_2013-06-11_final
2013-06-11 09:39:15	ga_ls8c_ard_3-0-0_093080_2013-06-11_final
2013-06-11 09:39:38	ga_ls8c_ard_3-0-0_093081_2013-06-11_final
2013-06-11 09:40:02	ga_ls8c_ard_3-0-0_093082_2013-06-11_final
2013-06-11 09:40:26	ga_ls8c_ard_3-0-0_093083_2013-06-11_final
2013-06-13 09:29:16	ga_ls8c_ard_3-0-0_091086_2013-06-12_final
2013-08-21 09:45:03	ga_ls8c_ard_3-0-0_094079_2013-08-21_final
2013-08-23 09:33:54	ga_ls8c_ard_3-0-0_092082_2013-08-23_final
2013-08-23 09:34:18	ga_ls8c_ard_3-0-0_092083_2013-08-23_final
2013-08-23 09:34:42	ga_ls8c_ard_3-0-0_092084_2013-08-23_final
2013-08-23 09:35:06	ga_ls8c_ard_3-0-0_092085_2013-08-23_final
2013-08-23 09:35:29	ga_ls8c_ard_3-0-0_092086_2013-08-23_final
2013-08-23 09:35:53	ga_ls8c_ard_3-0-0_092087_2013-08-23_final
2013-09-29 09:48:16	ga_ls8c_ard_3-0-0_095072_2013-09-29_final
2013-09-29 09:48:40	ga_ls8c_ard_3-0-0_095073_2013-09-29_final
2013-09-29 09:49:04	ga_ls8c_ard_3-0-0_095074_2013-09-29_final
2013-10-01 09:38:43	ga_ls8c_ard_3-0-0_093079_2013-10-01_final
2013-10-01 09:39:07	ga_ls8c_ard_3-0-0_093080_2013-10-01_final
2013-10-01 09:40:19	ga_ls8c_ard_3-0-0_093083_2013-10-01_final
2013-10-03 09:29:33	ga_ls8c_ard_3-0-0_091087_2013-10-02_final
2013-10-03 09:29:57	ga_ls8c_ard_3-0-0_091088_2013-10-02_final
2013-10-03 09:30:21	ga_ls8c_ard_3-0-0_091089_2013-10-03_final
2013-10-03 09:30:45	ga_ls8c_ard_3-0-0_091090_2013-10-03_final
2013-11-13 09:24:00	ga_ls8c_ard_3-0-0_090089_2013-11-12_final
2015-02-09 09:36:19	ga_ls8c_ard_3-0-0_093078_2015-02-09_final
2015-02-09 09:36:43	ga_ls8c_ard_3-0-0_093079_2015-02-09_final
2015-02-09 09:37:07	ga_ls8c_ard_3-0-0_093080_2015-02-09_final
2015-02-09 09:37:31	ga_ls8c_ard_3-0-0_093081_2015-02-09_final
2015-02-09 09:37:55	ga_ls8c_ard_3-0-0_093082_2015-02-09_final
2015-02-09 09:38:19	ga_ls8c_ard_3-0-0_093083_2015-02-09_final
2015-03-06 09:31:34	ga_ls8c_ard_3-0-0_092082_2015-03-06_final
2015-03-06 09:31:58	ga_ls8c_ard_3-0-0_092083_2015-03-06_final
2015-03-06 09:32:22	ga_ls8c_ard_3-0-0_092084_2015-03-06_final
2015-03-06 09:32:46	ga_ls8c_ard_3-0-0_092085_2015-03-06_final
2015-03-06 09:33:10	ga_ls8c_ard_3-0-0_092086_2015-03-06_final
2015-03-06 09:33:34	ga_ls8c_ard_3-0-0_092087_2015-03-06_final
2015-03-08 09:21:58	ga_ls8c_ard_3-0-0_090089_2015-03-07_final
2015-03-08 09:22:22	ga_ls8c_ard_3-0-0_090090_2015-03-07_final
2018-03-12 09:40:37	ga_ls8c_ard_3-0-0_094074_2018-03-12_final
2018-03-12 09:41:01	ga_ls8c_ard_3-0-0_094075_2018-03-12_final
2018-03-12 09:41:25	ga_ls8c_ard_3-0-0_094076_2018-03-12_final
2018-03-12 09:41:49	ga_ls8c_ard_3-0-0_094077_2018-03-12_final
2018-03-12 09:42:13	ga_ls8c_ard_3-0-0_094078_2018-03-12_final
2018-03-12 09:42:37	ga_ls8c_ard_3-0-0_094079_2018-03-12_final
2018-03-14 09:31:26	ga_ls8c_ard_3-0-0_092082_2018-03-14_final
2018-03-14 09:31:50	ga_ls8c_ard_3-0-0_092083_2018-03-14_final
2018-03-14 09:32:14	ga_ls8c_ard_3-0-0_092084_2018-03-14_final
2018-03-14 09:32:38	ga_ls8c_ard_3-0-0_092085_2018-03-14_final
2018-03-14 09:33:02	ga_ls8c_ard_3-0-0_092086_2018-03-14_final
2018-03-14 09:33:26	ga_ls8c_ard_3-0-0_092087_2018-03-14_final
2018-05-15 09:40:02	ga_ls8c_ard_3-0-0_094074_2018-05-15_final
2018-05-15 09:40:26	ga_ls8c_ard_3-0-0_094075_2018-05-15_final
2018-05-15 09:40:50	ga_ls8c_ard_3-0-0_094076_2018-05-15_final
2018-05-15 09:41:14	ga_ls8c_ard_3-0-0_094077_2018-05-15_final
2018-05-15 09:41:38	ga_ls8c_ard_3-0-0_094078_2018-05-15_final
2018-05-15 09:42:02	ga_ls8c_ard_3-0-0_094079_2018-05-15_final
2018-05-17 09:30:51	ga_ls8c_ard_3-0-0_092082_2018-05-17_final
2018-05-17 09:31:15	ga_ls8c_ard_3-0-0_092083_2018-05-17_final
2018-05-17 09:31:39	ga_ls8c_ard_3-0-0_092084_2018-05-17_final
2018-05-17 09:32:03	ga_ls8c_ard_3-0-0_092085_2018-05-17_final
2018-05-17 09:32:26	ga_ls8c_ard_3-0-0_092086_2018-05-17_final
2018-05-17 09:32:50	ga_ls8c_ard_3-0-0_092087_2018-05-17_final
2019-07-12 09:45:33	ga_ls8c_ard_3-1-0_095070_2019-07-12_final
2019-07-12 09:45:56	ga_ls8c_ard_3-1-0_095071_2019-07-12_final
2019-07-12 09:46:20	ga_ls8c_ard_3-1-0_095072_2019-07-12_final
2019-07-12 09:46:44	ga_ls8c_ard_3-1-0_095073_2019-07-12_final
2019-07-12 09:47:08	ga_ls8c_ard_3-1-0_095074_2019-07-12_final
2019-09-07 09:41:14	ga_ls8c_ard_3-1-0_094074_2019-09-07_final
2019-09-07 09:41:38	ga_ls8c_ard_3-1-0_094075_2019-09-07_final
2019-09-07 09:42:02	ga_ls8c_ard_3-1-0_094076_2019-09-07_final
2019-09-07 09:42:26	ga_ls8c_ard_3-1-0_094077_2019-09-07_final
2019-09-07 09:42:50	ga_ls8c_ard_3-1-0_094078_2019-09-07_final
2019-09-07 09:43:14	ga_ls8c_ard_3-1-0_094079_2019-09-07_final
2019-09-14 09:45:52	ga_ls8c_ard_3-1-0_095070_2019-09-14_final
2019-09-14 09:46:16	ga_ls8c_ard_3-1-0_095071_2019-09-14_final
2019-09-14 09:46:40	ga_ls8c_ard_3-1-0_095072_2019-09-14_final
2019-09-14 09:47:04	ga_ls8c_ard_3-1-0_095073_2019-09-14_final
2019-09-14 09:47:28	ga_ls8c_ard_3-1-0_095074_2019-09-14_final
2019-09-30 09:45:57	ga_ls8c_ard_3-1-0_095070_2019-09-30_final
2019-09-30 09:46:21	ga_ls8c_ard_3-1-0_095071_2019-09-30_final
2019-09-30 09:46:45	ga_ls8c_ard_3-1-0_095072_2019-09-30_final
2019-09-30 09:47:09	ga_ls8c_ard_3-1-0_095073_2019-09-30_final
2019-09-30 09:47:33	ga_ls8c_ard_3-1-0_095074_2019-09-30_final
2019-10-04 09:27:38	ga_ls8c_ard_3-1-0_091086_2019-10-03_final
2019-10-04 09:28:02	ga_ls8c_ard_3-1-0_091087_2019-10-03_final
2019-10-04 09:28:26	ga_ls8c_ard_3-1-0_091088_2019-10-03_final
2019-10-04 09:28:50	ga_ls8c_ard_3-1-0_091089_2019-10-03_final
2019-10-04 09:29:14	ga_ls8c_ard_3-1-0_091090_2019-10-03_final
2019-11-17 09:45:57	ga_ls8c_ard_3-1-0_095070_2019-11-17_final
2019-11-17 09:46:21	ga_ls8c_ard_3-1-0_095071_2019-11-17_final
2019-11-17 09:46:45	ga_ls8c_ard_3-1-0_095072_2019-11-17_final
2019-11-17 09:47:08	ga_ls8c_ard_3-1-0_095073_2019-11-17_final
2019-11-17 09:47:32	ga_ls8c_ard_3-1-0_095074_2019-11-17_final
2019-11-24 09:50:54	ga_ls8c_ard_3-1-0_096067_2019-11-24_final
2019-11-24 09:51:18	ga_ls8c_ard_3-1-0_096068_2019-11-24_final
2019-11-24 09:51:42	ga_ls8c_ard_3-1-0_096069_2019-11-24_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