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
2014-03-19 09:32:18	ga_ls8c_ard_3-0-0_092082_2014-03-19_final
2014-03-19 09:32:42	ga_ls8c_ard_3-0-0_092083_2014-03-19_final
2014-03-19 09:33:06	ga_ls8c_ard_3-0-0_092084_2014-03-19_final
2014-03-19 09:33:30	ga_ls8c_ard_3-0-0_092085_2014-03-19_final
2014-03-19 09:33:54	ga_ls8c_ard_3-0-0_092086_2014-03-19_final
2014-03-19 09:34:18	ga_ls8c_ard_3-0-0_092087_2014-03-19_final
2014-03-21 09:22:42	ga_ls8c_ard_3-0-0_090089_2014-03-20_final
2014-06-23 09:31:34	ga_ls8c_ard_3-0-0_092082_2014-06-23_final
2014-06-23 09:31:58	ga_ls8c_ard_3-0-0_092083_2014-06-23_final
2014-06-23 09:32:22	ga_ls8c_ard_3-0-0_092084_2014-06-23_final
2014-06-23 09:32:46	ga_ls8c_ard_3-0-0_092085_2014-06-23_final
2014-06-23 09:33:10	ga_ls8c_ard_3-0-0_092086_2014-06-23_final
2014-06-23 09:33:34	ga_ls8c_ard_3-0-0_092087_2014-06-23_final
2014-06-25 09:22:00	ga_ls8c_ard_3-0-0_090089_2014-06-24_final
2014-06-25 09:22:24	ga_ls8c_ard_3-0-0_090090_2014-06-24_final
2019-07-19 09:50:33	ga_ls8c_ard_3-1-0_096067_2019-07-19_final
2019-07-19 09:50:56	ga_ls8c_ard_3-1-0_096068_2019-07-19_final
2019-07-19 09:51:20	ga_ls8c_ard_3-1-0_096069_2019-07-19_final
2019-07-19 09:51:44	ga_ls8c_ard_3-1-0_096070_2019-07-19_final
2019-08-04 09:50:40	ga_ls8c_ard_3-1-0_096067_2019-08-04_final
2019-08-04 09:51:04	ga_ls8c_ard_3-1-0_096068_2019-08-04_final
2019-08-04 09:51:27	ga_ls8c_ard_3-1-0_096069_2019-08-04_final
2019-08-04 09:51:51	ga_ls8c_ard_3-1-0_096070_2019-08-04_final
2019-08-24 09:32:02	ga_ls8c_ard_3-1-0_092082_2019-08-24_final
2019-08-24 09:32:25	ga_ls8c_ard_3-1-0_092083_2019-08-24_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
2019-10-07 09:50:58	ga_ls8c_ard_3-1-0_096067_2019-10-07_final
2019-10-07 09:51:22	ga_ls8c_ard_3-1-0_096068_2019-10-07_final
2019-10-07 09:51:46	ga_ls8c_ard_3-1-0_096069_2019-10-07_final
2019-10-07 09:52:10	ga_ls8c_ard_3-1-0_096070_2019-10-07_final
2019-10-27 09:32:15	ga_ls8c_ard_3-1-0_092082_2019-10-27_final
2019-10-27 09:32:39	ga_ls8c_ard_3-1-0_092083_2019-10-27_final
2019-10-27 09:33:03	ga_ls8c_ard_3-1-0_092084_2019-10-27_final
2019-10-27 09:33:27	ga_ls8c_ard_3-1-0_092085_2019-10-27_final
2019-10-27 09:33:51	ga_ls8c_ard_3-1-0_092086_2019-10-27_final
2019-10-27 09:34:15	ga_ls8c_ard_3-1-0_092087_2019-10-27_final
2019-10-29 09:22:41	ga_ls8c_ard_3-1-0_090089_2019-10-28_final
2019-10-29 09:23:05	ga_ls8c_ard_3-1-0_090090_2019-10-28_final
2019-10-29 09:23:29	ga_ls8c_ard_3-1-0_090091_2019-10-28_final
2019-11-01 09:46:00	ga_ls8c_ard_3-1-0_095070_2019-11-01_final
2019-11-01 09:46:24	ga_ls8c_ard_3-1-0_095071_2019-11-01_final
2019-11-01 09:46:48	ga_ls8c_ard_3-1-0_095072_2019-11-01_final
2019-11-01 09:47:11	ga_ls8c_ard_3-1-0_095073_2019-11-01_final
2019-11-01 09:47:35	ga_ls8c_ard_3-1-0_095074_2019-11-01_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
2019-11-24 09:52:06	ga_ls8c_ard_3-1-0_096070_2019-11-24_final
2021-01-01 09:32:08	ga_ls8c_ard_3-2-0_092082_2021-01-01_final
2021-01-01 09:32:32	ga_ls8c_ard_3-2-0_092083_2021-01-01_final
2021-01-01 09:32:56	ga_ls8c_ard_3-2-0_092084_2021-01-01_final
2021-01-01 09:33:20	ga_ls8c_ard_3-2-0_092085_2021-01-01_final
2021-01-01 09:33:44	ga_ls8c_ard_3-2-0_092086_2021-01-01_final
2021-01-01 09:34:08	ga_ls8c_ard_3-2-0_092087_2021-01-01_final
2021-01-06 09:45:51	ga_ls8c_ard_3-2-0_095070_2021-01-06_final
2021-01-06 09:46:15	ga_ls8c_ard_3-2-0_095071_2021-01-06_final
2021-01-06 09:46:39	ga_ls8c_ard_3-2-0_095072_2021-01-06_final
2021-01-06 09:47:03	ga_ls8c_ard_3-2-0_095073_2021-01-06_final
2021-01-06 09:47:27	ga_ls8c_ard_3-2-0_095074_2021-01-06_final
2021-01-31 09:40:45	ga_ls8c_ard_3-2-0_094073_2021-01-31_final
2021-01-31 09:41:09	ga_ls8c_ard_3-2-0_094074_2021-01-31_final
2021-01-31 09:41:33	ga_ls8c_ard_3-2-0_094075_2021-01-31_final
2021-01-31 09:41:57	ga_ls8c_ard_3-2-0_094076_2021-01-31_final
2021-01-31 09:42:21	ga_ls8c_ard_3-2-0_094077_2021-01-31_final
2021-01-31 09:42:45	ga_ls8c_ard_3-2-0_094078_2021-01-31_final
2021-01-31 09:43:09	ga_ls8c_ard_3-2-0_094079_2021-01-31_final
2021-02-02 09:31:59	ga_ls8c_ard_3-2-0_092082_2021-02-02_final
2021-02-02 09:32:23	ga_ls8c_ard_3-2-0_092083_2021-02-02_final
2021-02-02 09:32:47	ga_ls8c_ard_3-2-0_092084_2021-02-02_final
2021-02-02 09:33:11	ga_ls8c_ard_3-2-0_092085_2021-02-02_final
2021-02-02 09:33:35	ga_ls8c_ard_3-2-0_092086_2021-02-02_final
2021-02-02 09:33:59	ga_ls8c_ard_3-2-0_092087_2021-02-02_final
2021-02-09 09:36:32	ga_ls8c_ard_3-2-0_093078_2021-02-09_final
2021-02-09 09:36:56	ga_ls8c_ard_3-2-0_093079_2021-02-09_final
2021-02-09 09:37:20	ga_ls8c_ard_3-2-0_093080_2021-02-09_final
2021-02-09 09:37:44	ga_ls8c_ard_3-2-0_093081_2021-02-09_final
2021-02-09 09:38:08	ga_ls8c_ard_3-2-0_093082_2021-02-09_final
2021-02-09 09:38:32	ga_ls8c_ard_3-2-0_093083_2021-02-09_final
2021-05-14 09:45:11	ga_ls8c_ard_3-2-0_095070_2021-05-14_final
2021-05-14 09:45:35	ga_ls8c_ard_3-2-0_095071_2021-05-14_final
2021-05-14 09:45:58	ga_ls8c_ard_3-2-0_095072_2021-05-14_final
2021-05-14 09:46:22	ga_ls8c_ard_3-2-0_095073_2021-05-14_final
2021-05-14 09:46:46	ga_ls8c_ard_3-2-0_095074_2021-05-14_final
2021-07-12 09:31:46	ga_ls8c_ard_3-2-0_092082_2021-07-12_final
2021-07-12 09:32:10	ga_ls8c_ard_3-2-0_092083_2021-07-12_final
2021-07-12 09:32:34	ga_ls8c_ard_3-2-0_092084_2021-07-12_final
2021-07-12 09:32:58	ga_ls8c_ard_3-2-0_092085_2021-07-12_final
2021-07-12 09:33:22	ga_ls8c_ard_3-2-0_092086_2021-07-12_final
2021-07-12 09:33:45	ga_ls8c_ard_3-2-0_092087_2021-07-12_final
2021-07-14 09:22:12	ga_ls8c_ard_3-2-0_090089_2021-07-13_final
2021-07-14 09:22:36	ga_ls8c_ard_3-2-0_090090_2021-07-13_final
2021-07-14 09:23:00	ga_ls8c_ard_3-2-0_090091_2021-07-13_final
2021-07-17 09:45:32	ga_ls8c_ard_3-2-0_095070_2021-07-17_final
2021-07-17 09:45:55	ga_ls8c_ard_3-2-0_095071_2021-07-17_final
2021-07-17 09:46:19	ga_ls8c_ard_3-2-0_095072_2021-07-17_final
2021-07-17 09:46:43	ga_ls8c_ard_3-2-0_095073_2021-07-17_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