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
2015-02-17 10:22:30	ga_ls8c_ard_3-0-0_101070_2015-02-17_final
2015-02-17 10:22:54	ga_ls8c_ard_3-0-0_101071_2015-02-17_final
2015-02-17 10:23:18	ga_ls8c_ard_3-0-0_101072_2015-02-17_final
2015-02-17 10:23:42	ga_ls8c_ard_3-0-0_101073_2015-02-17_final
2015-02-19 10:12:56	ga_ls8c_ard_3-0-0_099077_2015-02-19_final
2015-02-19 10:13:20	ga_ls8c_ard_3-0-0_099078_2015-02-19_final
2015-02-19 10:13:44	ga_ls8c_ard_3-0-0_099079_2015-02-19_final
2015-02-19 10:14:08	ga_ls8c_ard_3-0-0_099080_2015-02-19_final
2015-02-19 10:14:32	ga_ls8c_ard_3-0-0_099081_2015-02-19_final
2015-02-19 10:14:56	ga_ls8c_ard_3-0-0_099082_2015-02-19_final
2015-03-30 10:16:45	ga_ls8c_ard_3-0-0_100072_2015-03-30_final
2015-03-30 10:17:09	ga_ls8c_ard_3-0-0_100073_2015-03-30_final
2015-03-30 10:17:33	ga_ls8c_ard_3-0-0_100074_2015-03-30_final
2015-03-30 10:17:57	ga_ls8c_ard_3-0-0_100075_2015-03-30_final
2015-03-30 10:18:21	ga_ls8c_ard_3-0-0_100076_2015-03-30_final
2015-03-30 10:18:45	ga_ls8c_ard_3-0-0_100077_2015-03-30_final
2015-03-30 10:19:09	ga_ls8c_ard_3-0-0_100078_2015-03-30_final
2015-04-01 10:07:57	ga_ls8c_ard_3-0-0_098081_2015-04-01_final
2015-04-01 10:08:21	ga_ls8c_ard_3-0-0_098082_2015-04-01_final
2015-04-01 10:08:45	ga_ls8c_ard_3-0-0_098083_2015-04-01_final
2015-04-01 10:09:09	ga_ls8c_ard_3-0-0_098084_2015-04-01_final
2015-04-01 10:09:33	ga_ls8c_ard_3-0-0_098085_2015-04-01_final
2015-04-15 10:16:41	ga_ls8c_ard_3-0-0_100072_2015-04-15_final
2015-04-15 10:17:05	ga_ls8c_ard_3-0-0_100073_2015-04-15_final
2015-04-15 10:17:29	ga_ls8c_ard_3-0-0_100074_2015-04-15_final
2015-04-15 10:17:53	ga_ls8c_ard_3-0-0_100075_2015-04-15_final
2015-04-15 10:18:17	ga_ls8c_ard_3-0-0_100076_2015-04-15_final
2015-04-15 10:18:41	ga_ls8c_ard_3-0-0_100077_2015-04-15_final
2015-04-15 10:19:05	ga_ls8c_ard_3-0-0_100078_2015-04-15_final
2015-04-29 10:26:56	ga_ls8c_ard_3-0-0_102067_2015-04-29_final
2015-04-29 10:27:20	ga_ls8c_ard_3-0-0_102068_2015-04-29_final
2015-05-01 10:16:32	ga_ls8c_ard_3-0-0_100072_2015-05-01_final
2015-05-01 10:16:56	ga_ls8c_ard_3-0-0_100073_2015-05-01_final
2015-05-01 10:17:20	ga_ls8c_ard_3-0-0_100074_2015-05-01_final
2015-05-01 10:17:44	ga_ls8c_ard_3-0-0_100075_2015-05-01_final
2015-05-01 10:18:08	ga_ls8c_ard_3-0-0_100076_2015-05-01_final
2015-05-01 10:18:32	ga_ls8c_ard_3-0-0_100077_2015-05-01_final
2015-05-01 10:18:56	ga_ls8c_ard_3-0-0_100078_2015-05-01_final
2015-05-17 10:16:20	ga_ls8c_ard_3-0-0_100072_2015-05-17_final
2015-05-17 10:16:43	ga_ls8c_ard_3-0-0_100073_2015-05-17_final
2015-05-17 10:17:07	ga_ls8c_ard_3-0-0_100074_2015-05-17_final
2015-05-17 10:17:31	ga_ls8c_ard_3-0-0_100075_2015-05-17_final
2015-05-17 10:17:55	ga_ls8c_ard_3-0-0_100076_2015-05-17_final
2015-05-17 10:18:19	ga_ls8c_ard_3-0-0_100077_2015-05-17_final
2015-05-17 10:18:43	ga_ls8c_ard_3-0-0_100078_2015-05-17_final
2015-05-26 10:12:11	ga_ls8c_ard_3-0-0_099077_2015-05-26_final
2015-05-26 10:12:35	ga_ls8c_ard_3-0-0_099078_2015-05-26_final
2015-05-26 10:12:59	ga_ls8c_ard_3-0-0_099079_2015-05-26_final
2015-05-26 10:13:23	ga_ls8c_ard_3-0-0_099080_2015-05-26_final
2015-05-26 10:13:47	ga_ls8c_ard_3-0-0_099081_2015-05-26_final
2015-05-26 10:14:11	ga_ls8c_ard_3-0-0_099082_2015-05-26_final
2015-05-28 10:02:37	ga_ls8c_ard_3-0-0_097084_2015-05-28_final
2015-05-28 10:03:01	ga_ls8c_ard_3-0-0_097085_2015-05-28_final
2015-05-28 10:03:25	ga_ls8c_ard_3-0-0_097086_2015-05-28_final
2015-05-31 10:26:46	ga_ls8c_ard_3-0-0_102067_2015-05-31_final
2015-05-31 10:27:10	ga_ls8c_ard_3-0-0_102068_2015-05-31_final
2015-06-11 10:12:22	ga_ls8c_ard_3-0-0_099077_2015-06-11_final
2015-06-11 10:12:46	ga_ls8c_ard_3-0-0_099078_2015-06-11_final
2015-06-11 10:13:10	ga_ls8c_ard_3-0-0_099079_2015-06-11_final
2015-06-11 10:13:34	ga_ls8c_ard_3-0-0_099080_2015-06-11_final
2015-06-11 10:13:58	ga_ls8c_ard_3-0-0_099081_2015-06-11_final
2015-06-11 10:14:22	ga_ls8c_ard_3-0-0_099082_2015-06-11_final
2015-06-13 10:02:49	ga_ls8c_ard_3-0-0_097084_2015-06-13_final
2015-06-13 10:03:13	ga_ls8c_ard_3-0-0_097085_2015-06-13_final
2015-06-13 10:03:37	ga_ls8c_ard_3-0-0_097086_2015-06-13_final
2015-06-16 10:26:58	ga_ls8c_ard_3-0-0_102067_2015-06-16_final
2015-06-16 10:27:22	ga_ls8c_ard_3-0-0_102068_2015-06-16_final
2017-05-31 10:12:43	ga_ls8c_ard_3-0-0_099077_2017-05-31_final
2017-05-31 10:13:07	ga_ls8c_ard_3-0-0_099078_2017-05-31_final
2017-05-31 10:13:31	ga_ls8c_ard_3-0-0_099079_2017-05-31_final
2017-05-31 10:13:55	ga_ls8c_ard_3-0-0_099080_2017-05-31_final
2017-05-31 10:14:19	ga_ls8c_ard_3-0-0_099081_2017-05-31_final
2017-06-07 10:16:57	ga_ls8c_ard_3-0-0_100072_2017-06-07_final
2017-06-07 10:17:21	ga_ls8c_ard_3-0-0_100073_2017-06-07_final
2017-06-07 10:17:45	ga_ls8c_ard_3-0-0_100074_2017-06-07_final
2017-06-07 10:18:09	ga_ls8c_ard_3-0-0_100075_2017-06-07_final
2017-06-07 10:18:33	ga_ls8c_ard_3-0-0_100076_2017-06-07_final
2017-06-07 10:18:57	ga_ls8c_ard_3-0-0_100077_2017-06-07_final
2017-06-07 10:19:21	ga_ls8c_ard_3-0-0_100078_2017-06-07_final
2023-02-27 10:04:01	ga_ls8c_ard_3-2-1_097085_2023-02-27_final
2023-03-02 10:27:43	ga_ls8c_ard_3-2-1_102067_2023-03-02_final
2023-03-02 10:28:07	ga_ls8c_ard_3-2-1_102068_2023-03-02_final
2023-03-04 10:17:21	ga_ls8c_ard_3-2-1_100072_2023-03-04_final
2023-03-04 10:17:44	ga_ls8c_ard_3-2-1_100073_2023-03-04_final
2023-03-04 10:18:08	ga_ls8c_ard_3-2-1_100074_2023-03-04_final
2023-03-04 10:18:32	ga_ls8c_ard_3-2-1_100075_2023-03-04_final
2023-03-04 10:18:56	ga_ls8c_ard_3-2-1_100076_2023-03-04_final
2023-03-04 10:19:20	ga_ls8c_ard_3-2-1_100077_2023-03-04_final
2023-03-04 10:19:44	ga_ls8c_ard_3-2-1_100078_2023-03-04_final
2023-03-06 10:08:33	ga_ls8c_ard_3-2-1_098081_2023-03-06_final
2023-03-06 10:08:57	ga_ls8c_ard_3-2-1_098082_2023-03-06_final
2023-03-06 10:09:21	ga_ls8c_ard_3-2-1_098083_2023-03-06_final
2023-03-06 10:09:45	ga_ls8c_ard_3-2-1_098084_2023-03-06_final
2023-03-06 10:10:09	ga_ls8c_ard_3-2-1_098085_2023-03-06_final
2023-03-20 10:17:12	ga_ls8c_ard_3-2-1_100072_2023-03-20_final
2023-03-20 10:17:36	ga_ls8c_ard_3-2-1_100073_2023-03-20_final
2023-03-20 10:18:00	ga_ls8c_ard_3-2-1_100074_2023-03-20_final
2023-03-20 10:18:24	ga_ls8c_ard_3-2-1_100075_2023-03-20_final
2023-03-20 10:18:48	ga_ls8c_ard_3-2-1_100076_2023-03-20_final
2023-03-20 10:19:12	ga_ls8c_ard_3-2-1_100077_2023-03-20_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