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
2016-05-18 09:31:37	ga_ls8c_ard_3-0-0_093067_2016-05-18_final
2016-05-18 09:32:01	ga_ls8c_ard_3-0-0_093068_2016-05-18_final
2016-05-22 09:13:19	ga_ls8c_ard_3-0-0_089083_2016-05-21_final
2016-05-22 09:13:43	ga_ls8c_ard_3-0-0_089084_2016-05-21_final
2016-05-22 09:14:07	ga_ls8c_ard_3-0-0_089085_2016-05-21_final
2016-05-22 09:14:31	ga_ls8c_ard_3-0-0_089086_2016-05-21_final
2016-05-22 09:14:55	ga_ls8c_ard_3-0-0_089087_2016-05-21_final
2016-05-22 09:15:19	ga_ls8c_ard_3-0-0_089088_2016-05-21_final
2016-06-23 09:13:29	ga_ls8c_ard_3-0-0_089083_2016-06-22_final
2016-06-23 09:13:53	ga_ls8c_ard_3-0-0_089084_2016-06-22_final
2016-06-23 09:14:17	ga_ls8c_ard_3-0-0_089085_2016-06-22_final
2016-06-23 09:14:41	ga_ls8c_ard_3-0-0_089086_2016-06-22_final
2016-06-23 09:15:05	ga_ls8c_ard_3-0-0_089087_2016-06-22_final
2016-06-23 09:15:29	ga_ls8c_ard_3-0-0_089088_2016-06-22_final
2016-08-06 09:32:04	ga_ls8c_ard_3-0-0_093067_2016-08-06_final
2016-08-06 09:32:28	ga_ls8c_ard_3-0-0_093068_2016-08-06_final
2016-08-10 09:13:44	ga_ls8c_ard_3-0-0_089083_2016-08-09_final
2016-08-10 09:14:08	ga_ls8c_ard_3-0-0_089084_2016-08-09_final
2016-08-10 09:14:32	ga_ls8c_ard_3-0-0_089085_2016-08-09_final
2016-08-10 09:14:56	ga_ls8c_ard_3-0-0_089086_2016-08-09_final
2016-08-10 09:15:20	ga_ls8c_ard_3-0-0_089087_2016-08-09_final
2016-08-10 09:15:44	ga_ls8c_ard_3-0-0_089088_2016-08-09_final
2016-09-11 09:13:56	ga_ls8c_ard_3-0-0_089083_2016-09-10_final
2016-09-11 09:14:20	ga_ls8c_ard_3-0-0_089084_2016-09-10_final
2016-09-11 09:14:44	ga_ls8c_ard_3-0-0_089085_2016-09-10_final
2016-09-11 09:15:08	ga_ls8c_ard_3-0-0_089086_2016-09-10_final
2016-09-11 09:15:32	ga_ls8c_ard_3-0-0_089087_2016-09-10_final
2016-09-11 09:15:56	ga_ls8c_ard_3-0-0_089088_2016-09-10_final
2016-10-25 09:34:00	ga_ls8c_ard_3-0-0_093071_2016-10-25_final
2016-11-21 09:18:38	ga_ls8c_ard_3-0-0_090079_2016-11-20_final
2016-11-21 09:19:02	ga_ls8c_ard_3-0-0_090080_2016-11-20_final
2016-11-21 09:19:26	ga_ls8c_ard_3-0-0_090081_2016-11-20_final
2016-11-21 09:19:50	ga_ls8c_ard_3-0-0_090082_2016-11-20_final
2016-11-21 09:20:14	ga_ls8c_ard_3-0-0_090083_2016-11-20_final
2016-11-21 09:20:38	ga_ls8c_ard_3-0-0_090084_2016-11-20_final
2016-12-28 09:33:53	ga_ls8c_ard_3-0-0_093071_2016-12-28_final
2016-12-30 09:23:07	ga_ls8c_ard_3-0-0_091075_2016-12-29_final
2016-12-30 09:23:31	ga_ls8c_ard_3-0-0_091076_2016-12-29_final
2016-12-30 09:23:54	ga_ls8c_ard_3-0-0_091077_2016-12-29_final
2016-12-30 09:24:18	ga_ls8c_ard_3-0-0_091078_2016-12-29_final
2016-12-30 09:24:42	ga_ls8c_ard_3-0-0_091079_2016-12-29_final
2016-12-30 09:25:06	ga_ls8c_ard_3-0-0_091080_2016-12-29_final
2017-09-05 09:18:24	ga_ls8c_ard_3-0-0_090079_2017-09-04_final
2017-09-05 09:18:48	ga_ls8c_ard_3-0-0_090080_2017-09-04_final
2017-09-05 09:19:12	ga_ls8c_ard_3-0-0_090081_2017-09-04_final
2017-09-05 09:19:36	ga_ls8c_ard_3-0-0_090082_2017-09-04_final
2017-09-05 09:20:00	ga_ls8c_ard_3-0-0_090083_2017-09-04_final
2017-09-05 09:20:24	ga_ls8c_ard_3-0-0_090084_2017-09-04_final
2017-09-21 09:18:27	ga_ls8c_ard_3-0-0_090079_2017-09-20_final
2017-09-21 09:18:51	ga_ls8c_ard_3-0-0_090080_2017-09-20_final
2017-09-21 09:19:15	ga_ls8c_ard_3-0-0_090081_2017-09-20_final
2017-09-21 09:19:39	ga_ls8c_ard_3-0-0_090082_2017-09-20_final
2017-09-21 09:20:03	ga_ls8c_ard_3-0-0_090083_2017-09-20_final
2017-09-21 09:20:27	ga_ls8c_ard_3-0-0_090084_2017-09-20_final
2017-10-07 09:18:34	ga_ls8c_ard_3-0-0_090079_2017-10-06_final
2017-10-07 09:18:57	ga_ls8c_ard_3-0-0_090080_2017-10-06_final
2017-10-07 09:19:21	ga_ls8c_ard_3-0-0_090081_2017-10-06_final
2017-10-07 09:19:45	ga_ls8c_ard_3-0-0_090082_2017-10-06_final
2017-12-31 09:32:12	ga_ls8c_ard_3-0-0_093067_2017-12-31_final
2017-12-31 09:32:36	ga_ls8c_ard_3-0-0_093068_2017-12-31_final
2018-01-09 09:27:34	ga_ls8c_ard_3-0-0_092071_2018-01-08_final
2018-01-09 09:27:58	ga_ls8c_ard_3-0-0_092072_2018-01-08_final
2018-01-09 09:28:22	ga_ls8c_ard_3-0-0_092073_2018-01-08_final
2018-01-09 09:28:46	ga_ls8c_ard_3-0-0_092074_2018-01-08_final
2018-01-09 09:29:10	ga_ls8c_ard_3-0-0_092075_2018-01-08_final
2018-01-09 09:29:34	ga_ls8c_ard_3-0-0_092076_2018-01-08_final
2018-01-25 09:27:25	ga_ls8c_ard_3-0-0_092071_2018-01-24_final
2018-01-25 09:27:49	ga_ls8c_ard_3-0-0_092072_2018-01-24_final
2018-01-25 09:28:13	ga_ls8c_ard_3-0-0_092073_2018-01-24_final
2018-01-25 09:28:37	ga_ls8c_ard_3-1-0_092074_2018-01-24_final
2018-01-25 09:29:01	ga_ls8c_ard_3-0-0_092075_2018-01-24_final
2018-01-25 09:29:25	ga_ls8c_ard_3-0-0_092076_2018-01-24_final
2018-02-01 09:31:56	ga_ls8c_ard_3-0-0_093067_2018-02-01_final
2018-02-01 09:32:20	ga_ls8c_ard_3-0-0_093068_2018-02-01_final
2018-02-10 09:27:18	ga_ls8c_ard_3-0-0_092071_2018-02-09_final
2018-02-10 09:27:42	ga_ls8c_ard_3-0-0_092072_2018-02-09_final
2018-02-10 09:28:06	ga_ls8c_ard_3-0-0_092073_2018-02-09_final
2018-02-10 09:28:30	ga_ls8c_ard_3-0-0_092074_2018-02-09_final
2018-02-10 09:28:54	ga_ls8c_ard_3-0-0_092075_2018-02-09_final
2018-02-10 09:29:18	ga_ls8c_ard_3-0-0_092076_2018-02-09_final
2018-02-12 09:18:07	ga_ls8c_ard_3-0-0_090079_2018-02-11_final
2018-02-12 09:18:31	ga_ls8c_ard_3-0-0_090080_2018-02-11_final
2018-02-12 09:18:55	ga_ls8c_ard_3-0-0_090081_2018-02-11_final
2018-02-12 09:19:19	ga_ls8c_ard_3-0-0_090082_2018-02-11_final
2018-02-12 09:19:43	ga_ls8c_ard_3-0-0_090083_2018-02-11_final
2018-02-12 09:20:07	ga_ls8c_ard_3-0-0_090084_2018-02-11_final
2020-01-31 09:27:33	ga_ls8c_ard_3-1-0_092071_2020-01-30_final
2020-01-31 09:27:57	ga_ls8c_ard_3-1-0_092072_2020-01-30_final
2020-01-31 09:28:21	ga_ls8c_ard_3-1-0_092073_2020-01-30_final
2020-01-31 09:28:45	ga_ls8c_ard_3-1-0_092074_2020-01-30_final
2020-01-31 09:29:09	ga_ls8c_ard_3-1-0_092075_2020-01-30_final
2020-01-31 09:29:33	ga_ls8c_ard_3-1-0_092076_2020-01-30_final
2020-04-27 09:31:33	ga_ls8c_ard_3-1-0_093067_2020-04-27_final
2020-04-27 09:31:57	ga_ls8c_ard_3-1-0_093068_2020-04-27_final
2020-04-27 09:33:09	ga_ls8c_ard_3-1-0_093071_2020-04-27_final
2020-04-29 09:22:22	ga_ls8c_ard_3-1-0_091075_2020-04-28_final
2020-04-29 09:22:46	ga_ls8c_ard_3-1-0_091076_2020-04-28_final
2020-04-29 09:23:10	ga_ls8c_ard_3-1-0_091077_2020-04-28_final
2020-04-29 09:23:34	ga_ls8c_ard_3-1-0_091078_2020-04-28_final
2020-04-29 09:23:58	ga_ls8c_ard_3-1-0_091079_2020-04-28_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