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
2015-07-07 09:13:11	ga_ls8c_ard_3-0-0_089083_2015-07-06_final
2015-07-07 09:13:35	ga_ls8c_ard_3-0-0_089084_2015-07-06_final
2015-07-07 09:13:59	ga_ls8c_ard_3-0-0_089085_2015-07-06_final
2015-07-07 09:14:23	ga_ls8c_ard_3-0-0_089086_2015-07-06_final
2015-07-07 09:14:47	ga_ls8c_ard_3-0-0_089087_2015-07-06_final
2015-07-07 09:15:11	ga_ls8c_ard_3-0-0_089088_2015-07-06_final
2015-07-07 09:15:35	ga_ls8c_ard_3-0-0_089089_2015-07-06_final
2015-07-30 09:17:55	ga_ls8c_ard_3-0-0_090079_2015-07-29_final
2015-08-08 09:13:21	ga_ls8c_ard_3-0-0_089083_2015-08-07_final
2015-08-08 09:13:45	ga_ls8c_ard_3-0-0_089084_2015-08-07_final
2015-08-08 09:14:09	ga_ls8c_ard_3-0-0_089085_2015-08-07_final
2015-08-08 09:14:33	ga_ls8c_ard_3-0-0_089086_2015-08-07_final
2015-08-08 09:14:57	ga_ls8c_ard_3-0-0_089087_2015-08-07_final
2015-08-08 09:15:21	ga_ls8c_ard_3-0-0_089088_2015-08-07_final
2015-08-08 09:15:45	ga_ls8c_ard_3-0-0_089089_2015-08-07_final
2015-08-20 09:31:48	ga_ls8c_ard_3-0-0_093067_2015-08-20_final
2015-08-20 09:32:12	ga_ls8c_ard_3-0-0_093068_2015-08-20_final
2015-08-20 09:33:24	ga_ls8c_ard_3-0-0_093071_2015-08-20_final
2015-08-20 09:33:47	ga_ls8c_ard_3-0-0_093072_2015-08-20_final
2015-08-22 09:22:38	ga_ls8c_ard_3-0-0_091075_2015-08-21_final
2015-08-22 09:23:02	ga_ls8c_ard_3-0-0_091076_2015-08-21_final
2015-08-22 09:23:26	ga_ls8c_ard_3-0-0_091077_2015-08-21_final
2015-08-22 09:23:50	ga_ls8c_ard_3-0-0_091078_2015-08-21_final
2015-08-22 09:24:14	ga_ls8c_ard_3-0-0_091079_2015-08-21_final
2015-08-22 09:24:38	ga_ls8c_ard_3-0-0_091080_2015-08-21_final
2015-08-22 09:25:02	ga_ls8c_ard_3-0-0_091081_2015-08-21_final
2015-08-24 09:13:29	ga_ls8c_ard_3-0-0_089083_2015-08-23_final
2015-08-24 09:13:53	ga_ls8c_ard_3-0-0_089084_2015-08-23_final
2015-08-24 09:14:17	ga_ls8c_ard_3-0-0_089085_2015-08-23_final
2015-08-24 09:14:41	ga_ls8c_ard_3-0-0_089086_2015-08-23_final
2015-08-24 09:15:05	ga_ls8c_ard_3-0-0_089087_2015-08-23_final
2015-08-24 09:15:29	ga_ls8c_ard_3-0-0_089088_2015-08-23_final
2015-08-24 09:15:53	ga_ls8c_ard_3-0-0_089089_2015-08-23_final
2015-08-31 09:18:06	ga_ls8c_ard_3-0-0_090079_2015-08-30_final
2015-08-31 09:18:30	ga_ls8c_ard_3-0-0_090080_2015-08-30_final
2015-08-31 09:18:54	ga_ls8c_ard_3-0-0_090081_2015-08-30_final
2015-08-31 09:19:18	ga_ls8c_ard_3-0-0_090082_2015-08-30_final
2015-08-31 09:19:42	ga_ls8c_ard_3-0-0_090083_2015-08-30_final
2015-08-31 09:20:06	ga_ls8c_ard_3-0-0_090084_2015-08-30_final
2015-08-31 09:20:30	ga_ls8c_ard_3-0-0_090085_2015-08-30_final
2015-09-16 09:18:14	ga_ls8c_ard_3-0-0_090079_2015-09-15_final
2015-09-16 09:18:38	ga_ls8c_ard_3-0-0_090080_2015-09-15_final
2015-09-16 09:19:02	ga_ls8c_ard_3-0-0_090081_2015-09-15_final
2015-09-16 09:19:26	ga_ls8c_ard_3-0-0_090082_2015-09-15_final
2015-09-16 09:19:50	ga_ls8c_ard_3-0-0_090083_2015-09-15_final
2015-09-16 09:20:14	ga_ls8c_ard_3-0-0_090084_2015-09-15_final
2015-09-16 09:20:38	ga_ls8c_ard_3-0-0_090085_2015-09-15_final
2015-10-18 09:18:43	ga_ls8c_ard_3-0-0_090080_2015-10-17_final
2015-10-18 09:19:07	ga_ls8c_ard_3-0-0_090081_2015-10-17_final
2015-10-18 09:19:31	ga_ls8c_ard_3-0-0_090082_2015-10-17_final
2015-10-18 09:19:55	ga_ls8c_ard_3-0-0_090083_2015-10-17_final
2015-10-18 09:20:19	ga_ls8c_ard_3-0-0_090084_2015-10-17_final
2015-10-18 09:20:43	ga_ls8c_ard_3-0-0_090085_2015-10-17_final
2015-11-19 09:18:26	ga_ls8c_ard_3-0-0_090079_2015-11-18_final
2015-11-19 09:18:50	ga_ls8c_ard_3-0-0_090080_2015-11-18_final
2015-11-19 09:19:14	ga_ls8c_ard_3-0-0_090081_2015-11-18_final
2015-11-19 09:19:38	ga_ls8c_ard_3-0-0_090082_2015-11-18_final
2015-11-19 09:20:02	ga_ls8c_ard_3-0-0_090083_2015-11-18_final
2015-11-19 09:20:26	ga_ls8c_ard_3-0-0_090084_2015-11-18_final
2015-11-19 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-11-18_final
2017-04-03 09:31:37	ga_ls8c_ard_3-0-0_093067_2017-04-03_final
2017-04-03 09:32:01	ga_ls8c_ard_3-0-0_093068_2017-04-03_final
2017-04-03 09:33:12	ga_ls8c_ard_3-0-0_093071_2017-04-03_final
2017-04-03 09:33:36	ga_ls8c_ard_3-0-0_093072_2017-04-03_final
2017-04-10 09:37:44	ga_ls8c_ard_3-0-0_094067_2017-04-10_final
2017-05-21 09:31:33	ga_ls8c_ard_3-0-0_093067_2017-05-21_final
2017-05-21 09:31:57	ga_ls8c_ard_3-0-0_093068_2017-05-21_final
2017-05-21 09:33:08	ga_ls8c_ard_3-0-0_093071_2017-05-21_final
2017-05-21 09:33:32	ga_ls8c_ard_3-0-0_093072_2017-05-21_final
2017-07-08 09:31:51	ga_ls8c_ard_3-0-0_093067_2017-07-08_final
2017-07-08 09:32:15	ga_ls8c_ard_3-0-0_093068_2017-07-08_final
2017-07-08 09:33:26	ga_ls8c_ard_3-0-0_093071_2017-07-08_final
2017-07-08 09:33:50	ga_ls8c_ard_3-0-0_093072_2017-07-08_final
2017-07-15 09:38:03	ga_ls8c_ard_3-0-0_094067_2017-07-15_final
2020-10-11 09:38:34	ga_ls8c_ard_3-1-0_094067_2020-10-11_final
2020-10-24 09:14:03	ga_ls8c_ard_3-1-0_089083_2020-10-23_final
2020-10-24 09:14:27	ga_ls8c_ard_3-1-0_089084_2020-10-23_final
2020-10-24 09:14:51	ga_ls8c_ard_3-1-0_089085_2020-10-23_final
2020-10-24 09:15:15	ga_ls8c_ard_3-1-0_089086_2020-10-23_final
2020-10-24 09:15:38	ga_ls8c_ard_3-1-0_089087_2020-10-23_final
2020-10-24 09:16:02	ga_ls8c_ard_3-1-0_089088_2020-10-23_final
2020-10-24 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-10-23_final
2020-10-29 09:27:47	ga_ls8c_ard_3-1-0_092071_2020-10-28_final
2020-10-29 09:28:11	ga_ls8c_ard_3-1-0_092072_2020-10-28_final
2020-10-29 09:28:35	ga_ls8c_ard_3-1-0_092073_2020-10-28_final
2020-10-29 09:28:59	ga_ls8c_ard_3-1-0_092074_2020-10-28_final
2020-10-29 09:29:23	ga_ls8c_ard_3-1-0_092075_2020-10-28_final
2020-10-29 09:29:47	ga_ls8c_ard_3-1-0_092076_2020-10-28_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
2020-11-30 09:29:48	ga_ls8c_ard_3-1-0_092076_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

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