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
2016-12-12 09:32:20	ga_ls8c_ard_3-0-0_093067_2016-12-12_final
2016-12-12 09:32:44	ga_ls8c_ard_3-0-0_093068_2016-12-12_final
2016-12-12 09:33:56	ga_ls8c_ard_3-0-0_093071_2016-12-12_final
2017-01-24 09:18:24	ga_ls8c_ard_3-0-0_090079_2017-01-23_final
2017-01-24 09:18:48	ga_ls8c_ard_3-0-0_090080_2017-01-23_final
2017-01-24 09:19:12	ga_ls8c_ard_3-0-0_090081_2017-01-23_final
2017-01-24 09:19:36	ga_ls8c_ard_3-0-0_090082_2017-01-23_final
2017-01-24 09:20:00	ga_ls8c_ard_3-0-0_090083_2017-01-23_final
2017-01-24 09:20:24	ga_ls8c_ard_3-0-0_090084_2017-01-23_final
2017-01-24 09:20:48	ga_ls8c_ard_3-0-0_090085_2017-01-23_final
2019-02-20 09:33:22	ga_ls8c_ard_3-0-0_093071_2019-02-20_final
2019-02-20 09:33:46	ga_ls8c_ard_3-0-0_093072_2019-02-20_final
2019-02-22 09:22:36	ga_ls8c_ard_3-0-0_091075_2019-02-21_final
2019-02-22 09:23:00	ga_ls8c_ard_3-0-0_091076_2019-02-21_final
2019-02-22 09:23:24	ga_ls8c_ard_3-0-0_091077_2019-02-21_final
2019-02-22 09:23:48	ga_ls8c_ard_3-0-0_091078_2019-02-21_final
2019-02-22 09:24:11	ga_ls8c_ard_3-0-0_091079_2019-02-21_final
2019-02-22 09:24:35	ga_ls8c_ard_3-0-0_091080_2019-02-21_final
2019-02-22 09:24:59	ga_ls8c_ard_3-0-0_091081_2019-02-21_final
2019-04-16 09:37:41	ga_ls8c_ard_3-1-0_094067_2019-04-16_final
2019-05-04 09:26:54	ga_ls8c_ard_3-0-0_092071_2019-05-03_final
2019-05-04 09:27:18	ga_ls8c_ard_3-0-0_092072_2019-05-03_final
2019-05-04 09:27:42	ga_ls8c_ard_3-0-0_092073_2019-05-03_final
2019-05-04 09:28:06	ga_ls8c_ard_3-0-0_092074_2019-05-03_final
2019-05-04 09:28:30	ga_ls8c_ard_3-0-0_092075_2019-05-03_final
2019-05-04 09:28:54	ga_ls8c_ard_3-0-0_092076_2019-05-03_final
2019-05-06 09:17:46	ga_ls8c_ard_3-0-0_090079_2019-05-05_final
2019-05-06 09:18:10	ga_ls8c_ard_3-0-0_090080_2019-05-05_final
2019-05-06 09:18:34	ga_ls8c_ard_3-0-0_090081_2019-05-05_final
2019-05-06 09:18:58	ga_ls8c_ard_3-0-0_090082_2019-05-05_final
2019-05-06 09:19:22	ga_ls8c_ard_3-0-0_090083_2019-05-05_final
2019-05-06 09:19:46	ga_ls8c_ard_3-0-0_090084_2019-05-05_final
2019-05-06 09:20:09	ga_ls8c_ard_3-0-0_090085_2019-05-05_final
2019-05-31 09:13:26	ga_ls8c_ard_3-0-0_089083_2019-05-30_final
2019-05-31 09:13:50	ga_ls8c_ard_3-0-0_089084_2019-05-30_final
2019-05-31 09:14:14	ga_ls8c_ard_3-0-0_089085_2019-05-30_final
2019-05-31 09:14:38	ga_ls8c_ard_3-0-0_089086_2019-05-30_final
2019-05-31 09:15:02	ga_ls8c_ard_3-0-0_089087_2019-05-30_final
2019-05-31 09:15:26	ga_ls8c_ard_3-0-0_089088_2019-05-30_final
2019-07-02 09:13:37	ga_ls8c_ard_3-1-0_089083_2019-07-01_final
2019-07-02 09:14:01	ga_ls8c_ard_3-1-0_089084_2019-07-01_final
2019-07-02 09:14:25	ga_ls8c_ard_3-1-0_089085_2019-07-01_final
2019-07-02 09:14:49	ga_ls8c_ard_3-1-0_089086_2019-07-01_final
2019-07-02 09:15:13	ga_ls8c_ard_3-1-0_089087_2019-07-01_final
2019-07-02 09:15:37	ga_ls8c_ard_3-1-0_089088_2019-07-01_final
2019-07-02 09:16:01	ga_ls8c_ard_3-1-0_089089_2019-07-01_final
2021-02-09 09:32:09	ga_ls8c_ard_3-2-0_093067_2021-02-09_final
2021-02-09 09:32:33	ga_ls8c_ard_3-2-0_093068_2021-02-09_final
2021-02-09 09:33:45	ga_ls8c_ard_3-2-0_093071_2021-02-09_final
2021-02-09 09:34:09	ga_ls8c_ard_3-2-0_093072_2021-02-09_final
2021-02-11 09:22:59	ga_ls8c_ard_3-2-0_091075_2021-02-10_final
2021-02-11 09:23:22	ga_ls8c_ard_3-2-0_091076_2021-02-10_final
2021-02-11 09:23:46	ga_ls8c_ard_3-2-0_091077_2021-02-10_final
2021-02-11 09:24:10	ga_ls8c_ard_3-2-0_091078_2021-02-10_final
2021-02-11 09:24:34	ga_ls8c_ard_3-2-0_091079_2021-02-10_final
2021-02-11 09:24:58	ga_ls8c_ard_3-2-0_091080_2021-02-10_final
2021-02-11 09:25:22	ga_ls8c_ard_3-2-0_091081_2021-02-10_final
2021-03-13 09:33:31	ga_ls8c_ard_3-2-0_093071_2021-03-13_final
2021-03-13 09:33:55	ga_ls8c_ard_3-2-0_093072_2021-03-13_final
2021-03-15 09:22:44	ga_ls8c_ard_3-2-0_091075_2021-03-14_final
2021-03-15 09:23:08	ga_ls8c_ard_3-2-0_091076_2021-03-14_final
2021-03-15 09:23:32	ga_ls8c_ard_3-2-0_091077_2021-03-14_final
2021-03-15 09:23:56	ga_ls8c_ard_3-2-0_091078_2021-03-14_final
2021-03-15 09:24:20	ga_ls8c_ard_3-2-0_091079_2021-03-14_final
2021-03-15 09:24:44	ga_ls8c_ard_3-2-0_091080_2021-03-14_final
2021-03-15 09:25:08	ga_ls8c_ard_3-2-0_091081_2021-03-14_final
2021-03-17 09:13:32	ga_ls8c_ard_3-2-0_089083_2021-03-16_final
2021-03-17 09:13:56	ga_ls8c_ard_3-2-0_089084_2021-03-16_final
2021-03-17 09:14:20	ga_ls8c_ard_3-2-0_089085_2021-03-16_final
2021-03-17 09:14:44	ga_ls8c_ard_3-2-0_089086_2021-03-16_final
2021-03-17 09:15:08	ga_ls8c_ard_3-2-0_089087_2021-03-16_final
2021-03-17 09:15:32	ga_ls8c_ard_3-2-0_089088_2021-03-16_final
2021-03-17 09:15:56	ga_ls8c_ard_3-2-0_089089_2021-03-16_final
2021-03-20 09:38:03	ga_ls8c_ard_3-2-0_094067_2021-03-20_final
2021-03-24 09:18:54	ga_ls8c_ard_3-2-0_090081_2021-03-23_final
2021-03-24 09:19:18	ga_ls8c_ard_3-2-0_090082_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
2021-03-24 09:20:30	ga_ls8c_ard_3-2-0_090085_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
2021-03-29 09:33:26	ga_ls8c_ard_3-2-0_093071_2021-03-29_final
2021-03-29 09:33:50	ga_ls8c_ard_3-2-0_093072_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
2021-04-02 09:15:53	ga_ls8c_ard_3-2-0_089089_2021-04-01_final
2021-07-19 09:31:59	ga_ls8c_ard_3-2-0_093067_2021-07-19_final
2021-07-19 09:32:23	ga_ls8c_ard_3-2-0_093068_2021-07-19_final
2021-07-19 09:33:35	ga_ls8c_ard_3-2-0_093071_2021-07-19_final
2021-07-19 09:33:59	ga_ls8c_ard_3-2-0_093072_2021-07-19_final
2021-07-21 09:22:50	ga_ls8c_ard_3-2-0_091075_2021-07-20_final
2021-07-21 09:23:14	ga_ls8c_ard_3-2-0_091076_2021-07-20_final
2021-07-21 09:23:38	ga_ls8c_ard_3-2-0_091077_2021-07-20_final
2021-07-21 09:24:02	ga_ls8c_ard_3-2-0_091078_2021-07-20_final
2021-07-21 09:24:26	ga_ls8c_ard_3-2-0_091079_2021-07-20_final
2021-07-21 09:24:50	ga_ls8c_ard_3-2-0_091080_2021-07-20_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