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
2013-09-08 09:31:05	ga_ls8c_ard_3-0-0_092075_2013-09-08_final
2013-10-19 09:26:18	ga_ls8c_ard_3-0-0_091079_2013-10-18_final
2013-10-19 09:26:42	ga_ls8c_ard_3-0-0_091080_2013-10-18_final
2013-10-21 09:15:31	ga_ls8c_ard_3-0-0_089083_2013-10-20_final
2013-10-21 09:15:55	ga_ls8c_ard_3-0-0_089084_2013-10-20_final
2013-11-18 09:33:43	ga_ls8c_ard_3-0-0_093067_2013-11-18_final
2013-11-18 09:34:07	ga_ls8c_ard_3-0-0_093068_2013-11-18_final
2013-11-20 09:25:42	ga_ls8c_ard_3-0-0_091078_2013-11-19_final
2013-11-20 09:26:06	ga_ls8c_ard_3-0-0_091079_2013-11-19_final
2013-11-20 09:26:30	ga_ls8c_ard_3-0-0_091080_2013-11-19_final
2013-12-08 09:15:19	ga_ls8c_ard_3-0-0_089083_2013-12-07_final
2013-12-08 09:15:43	ga_ls8c_ard_3-0-0_089084_2013-12-07_final
2013-12-08 09:16:07	ga_ls8c_ard_3-0-0_089085_2013-12-07_final
2013-12-08 09:16:31	ga_ls8c_ard_3-0-0_089086_2013-12-07_final
2013-12-13 09:29:26	ga_ls8c_ard_3-0-0_092072_2013-12-12_final
2013-12-24 09:15:10	ga_ls8c_ard_3-0-0_089083_2013-12-23_final
2013-12-24 09:16:22	ga_ls8c_ard_3-0-0_089086_2013-12-23_final
2013-12-31 09:19:42	ga_ls8c_ard_3-0-0_090079_2013-12-30_final
2013-12-31 09:20:06	ga_ls8c_ard_3-0-0_090080_2013-12-30_final
2013-12-31 09:20:30	ga_ls8c_ard_3-0-0_090081_2013-12-30_final
2013-12-31 09:20:54	ga_ls8c_ard_3-0-0_090082_2013-12-30_final
2013-12-31 09:21:18	ga_ls8c_ard_3-0-0_090083_2013-12-30_final
2013-12-31 09:21:42	ga_ls8c_ard_3-0-0_090084_2013-12-30_final
2014-01-25 09:14:50	ga_ls8c_ard_3-0-0_089083_2014-01-24_final
2014-01-25 09:15:14	ga_ls8c_ard_3-0-0_089084_2014-01-24_final
2014-01-25 09:15:38	ga_ls8c_ard_3-0-0_089085_2014-01-24_final
2014-01-25 09:16:02	ga_ls8c_ard_3-0-0_089086_2014-01-24_final
2014-02-01 09:19:22	ga_ls8c_ard_3-0-0_090079_2014-01-31_final
2014-02-01 09:19:45	ga_ls8c_ard_3-0-0_090080_2014-01-31_final
2014-02-01 09:20:09	ga_ls8c_ard_3-0-0_090081_2014-01-31_final
2014-02-01 09:20:33	ga_ls8c_ard_3-0-0_090082_2014-01-31_final
2014-02-01 09:20:57	ga_ls8c_ard_3-0-0_090083_2014-01-31_final
2014-02-01 09:21:21	ga_ls8c_ard_3-0-0_090084_2014-01-31_final
2014-02-08 09:24:14	ga_ls8c_ard_3-0-0_091076_2014-02-07_final
2014-02-08 09:24:38	ga_ls8c_ard_3-0-0_091077_2014-02-07_final
2014-02-08 09:25:02	ga_ls8c_ard_3-0-0_091078_2014-02-07_final
2014-02-08 09:25:26	ga_ls8c_ard_3-0-0_091079_2014-02-07_final
2014-02-08 09:25:50	ga_ls8c_ard_3-0-0_091080_2014-02-07_final
2014-02-10 09:14:38	ga_ls8c_ard_3-0-0_089083_2014-02-09_final
2014-02-10 09:15:02	ga_ls8c_ard_3-0-0_089084_2014-02-09_final
2014-02-10 09:15:26	ga_ls8c_ard_3-0-0_089085_2014-02-09_final
2014-02-10 09:15:50	ga_ls8c_ard_3-0-0_089086_2014-02-09_final
2020-10-31 09:18:37	ga_ls8c_ard_3-1-0_090079_2020-10-30_final
2020-10-31 09:19:01	ga_ls8c_ard_3-1-0_090080_2020-10-30_final
2020-10-31 09:19:25	ga_ls8c_ard_3-1-0_090081_2020-10-30_final
2020-10-31 09:19:49	ga_ls8c_ard_3-1-0_090082_2020-10-30_final
2020-10-31 09:20:13	ga_ls8c_ard_3-1-0_090083_2020-10-30_final
2020-10-31 09:20:37	ga_ls8c_ard_3-1-0_090084_2020-10-30_final
2020-11-30 09:27:49	ga_ls8c_ard_3-1-0_092071_2020-11-29_final
2020-11-30 09:28:13	ga_ls8c_ard_3-1-0_092072_2020-11-29_final
2020-11-30 09:28:36	ga_ls8c_ard_3-1-0_092073_2020-11-29_final
2020-11-30 09:29:00	ga_ls8c_ard_3-1-0_092074_2020-11-29_final
2020-11-30 09:29:24	ga_ls8c_ard_3-1-0_092075_2020-11-29_final
2020-12-02 09:18:39	ga_ls8c_ard_3-1-0_090079_2020-12-01_final
2020-12-02 09:19:03	ga_ls8c_ard_3-1-0_090080_2020-12-01_final
2020-12-02 09:19:27	ga_ls8c_ard_3-1-0_090081_2020-12-01_final
2020-12-02 09:19:51	ga_ls8c_ard_3-1-0_090082_2020-12-01_final
2020-12-02 09:20:15	ga_ls8c_ard_3-1-0_090083_2020-12-01_final
2020-12-02 09:20:38	ga_ls8c_ard_3-1-0_090084_2020-12-01_final
2021-03-24 09:18:06	ga_ls8c_ard_3-2-0_090079_2021-03-23_final
2021-03-24 09:18:30	ga_ls8c_ard_3-2-0_090080_2021-03-23_final
2021-03-24 09:18:54	ga_ls8c_ard_3-2-0_090081_2021-03-23_final
2021-03-24 09:19:42	ga_ls8c_ard_3-2-0_090083_2021-03-23_final
2021-03-24 09:20:06	ga_ls8c_ard_3-2-0_090084_2021-03-23_final
2021-03-29 09:31:50	ga_ls8c_ard_3-2-0_093067_2021-03-29_final
2021-03-29 09:32:14	ga_ls8c_ard_3-2-0_093068_2021-03-29_final
2021-04-02 09:13:29	ga_ls8c_ard_3-2-0_089083_2021-04-01_final
2021-04-02 09:13:53	ga_ls8c_ard_3-2-0_089084_2021-04-01_final
2021-04-02 09:14:17	ga_ls8c_ard_3-2-0_089085_2021-04-01_final
2021-04-02 09:14:41	ga_ls8c_ard_3-2-0_089086_2021-04-01_final
2021-04-02 09:15:05	ga_ls8c_ard_3-2-0_089087_2021-04-01_final
2021-04-02 09:15:29	ga_ls8c_ard_3-2-0_089088_2021-04-01_final
2021-04-09 09:18:02	ga_ls8c_ard_3-2-0_090079_2021-04-08_final
2021-04-09 09:18:26	ga_ls8c_ard_3-2-0_090080_2021-04-08_final
2021-04-09 09:18:50	ga_ls8c_ard_3-2-0_090081_2021-04-08_final
2021-04-09 09:19:13	ga_ls8c_ard_3-2-0_090082_2021-04-08_final
2021-04-09 09:19:37	ga_ls8c_ard_3-2-0_090083_2021-04-08_final
2021-04-09 09:20:01	ga_ls8c_ard_3-2-0_090084_2021-04-08_final
2021-04-14 09:31:45	ga_ls8c_ard_3-2-0_093067_2021-04-14_final
2021-04-14 09:32:09	ga_ls8c_ard_3-2-0_093068_2021-04-14_final
2021-04-16 09:22:10	ga_ls8c_ard_3-2-0_091074_2021-04-15_final
2021-04-16 09:22:34	ga_ls8c_ard_3-2-0_091075_2021-04-15_final
2021-04-16 09:22:58	ga_ls8c_ard_3-2-0_091076_2021-04-15_final
2021-04-16 09:23:22	ga_ls8c_ard_3-2-0_091077_2021-04-15_final
2021-04-16 09:23:46	ga_ls8c_ard_3-2-0_091078_2021-04-15_final
2021-04-16 09:24:10	ga_ls8c_ard_3-2-0_091079_2021-04-15_final
2021-04-16 09:24:34	ga_ls8c_ard_3-2-0_091080_2021-04-15_final
2021-04-23 09:27:05	ga_ls8c_ard_3-2-0_092071_2021-04-22_final
2021-04-23 09:27:29	ga_ls8c_ard_3-2-0_092072_2021-04-22_final
2021-04-23 09:27:53	ga_ls8c_ard_3-2-0_092073_2021-04-22_final
2021-04-23 09:28:17	ga_ls8c_ard_3-2-0_092074_2021-04-22_final
2021-04-23 09:28:41	ga_ls8c_ard_3-2-0_092075_2021-04-22_final
2022-08-09 09:22:58	ga_ls8c_ard_3-2-1_091074_2022-08-08_final
2022-08-09 09:23:22	ga_ls8c_ard_3-2-1_091075_2022-08-08_final
2022-08-09 09:23:46	ga_ls8c_ard_3-2-1_091076_2022-08-08_final
2022-08-09 09:24:10	ga_ls8c_ard_3-2-1_091077_2022-08-08_final
2022-08-16 09:27:59	ga_ls8c_ard_3-2-1_092071_2022-08-15_final
2022-08-16 09:28:23	ga_ls8c_ard_3-2-1_092072_2022-08-15_final
2022-08-16 09:28:47	ga_ls8c_ard_3-2-1_092073_2022-08-15_final
2022-08-16 09:29:11	ga_ls8c_ard_3-2-1_092074_2022-08-15_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