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
2015-01-18 10:12:43	ga_ls8c_ard_3-0-0_099076_2015-01-18_final
2015-01-18 10:13:07	ga_ls8c_ard_3-0-0_099077_2015-01-18_final
2015-01-18 10:13:31	ga_ls8c_ard_3-0-0_099078_2015-01-18_final
2015-01-18 10:13:55	ga_ls8c_ard_3-0-0_099079_2015-01-18_final
2015-01-18 10:14:19	ga_ls8c_ard_3-0-0_099080_2015-01-18_final
2015-01-18 10:14:43	ga_ls8c_ard_3-0-0_099081_2015-01-18_final
2015-02-19 10:12:32	ga_ls8c_ard_3-0-0_099076_2015-02-19_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
2015-02-28 10:07:55	ga_ls8c_ard_3-0-0_098080_2015-02-28_final
2015-02-28 10:08:19	ga_ls8c_ard_3-0-0_098081_2015-02-28_final
2015-02-28 10:08:43	ga_ls8c_ard_3-0-0_098082_2015-02-28_final
2015-02-28 10:09:07	ga_ls8c_ard_3-0-0_098083_2015-02-28_final
2015-02-28 10:09:31	ga_ls8c_ard_3-0-0_098084_2015-02-28_final
2015-02-28 10:09:55	ga_ls8c_ard_3-0-0_098085_2015-02-28_final
2015-03-14 10:16:30	ga_ls8c_ard_3-0-0_100071_2015-03-14_final
2015-03-14 10:16:54	ga_ls8c_ard_3-0-0_100072_2015-03-14_final
2015-03-14 10:17:18	ga_ls8c_ard_3-0-0_100073_2015-03-14_final
2015-03-14 10:17:42	ga_ls8c_ard_3-0-0_100074_2015-03-14_final
2015-03-14 10:18:06	ga_ls8c_ard_3-0-0_100075_2015-03-14_final
2015-03-14 10:18:30	ga_ls8c_ard_3-0-0_100076_2015-03-14_final
2015-03-14 10:18:54	ga_ls8c_ard_3-0-0_100077_2015-03-14_final
2015-03-16 10:07:44	ga_ls8c_ard_3-0-0_098080_2015-03-16_final
2015-03-16 10:08:08	ga_ls8c_ard_3-0-0_098081_2015-03-16_final
2015-03-16 10:08:32	ga_ls8c_ard_3-0-0_098082_2015-03-16_final
2015-03-16 10:08:56	ga_ls8c_ard_3-0-0_098083_2015-03-16_final
2015-03-16 10:09:20	ga_ls8c_ard_3-0-0_098084_2015-03-16_final
2015-03-16 10:09:43	ga_ls8c_ard_3-0-0_098085_2015-03-16_final
2015-03-18 09:58:09	ga_ls8c_ard_3-0-0_096087_2015-03-18_final
2015-03-30 10:16:21	ga_ls8c_ard_3-0-0_100071_2015-03-30_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
2015-04-01 10:07:33	ga_ls8c_ard_3-0-0_098080_2015-04-01_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
2015-04-03 09:57:56	ga_ls8c_ard_3-0-0_096087_2015-04-03_final
2015-04-13 10:27:03	ga_ls8c_ard_3-0-0_102067_2015-04-13_final
2015-04-24 10:11:39	ga_ls8c_ard_3-0-0_099075_2015-04-24_final
2015-04-24 10:12:03	ga_ls8c_ard_3-0-0_099076_2015-04-24_final
2015-04-24 10:12:27	ga_ls8c_ard_3-0-0_099077_2015-04-24_final
2015-04-24 10:12:51	ga_ls8c_ard_3-0-0_099078_2015-04-24_final
2015-04-24 10:13:15	ga_ls8c_ard_3-0-0_099079_2015-04-24_final
2015-04-24 10:13:39	ga_ls8c_ard_3-0-0_099080_2015-04-24_final
2015-04-24 10:14:03	ga_ls8c_ard_3-0-0_099081_2015-04-24_final
2015-04-26 10:02:52	ga_ls8c_ard_3-0-0_097084_2015-04-26_final
2015-04-26 10:03:16	ga_ls8c_ard_3-0-0_097085_2015-04-26_final
2015-04-29 10:26:56	ga_ls8c_ard_3-0-0_102067_2015-04-29_final
2015-05-12 10:02:36	ga_ls8c_ard_3-0-0_097084_2015-05-12_final
2015-05-12 10:03:00	ga_ls8c_ard_3-0-0_097085_2015-05-12_final
2015-05-15 10:26:40	ga_ls8c_ard_3-0-0_102067_2015-05-15_final
2015-06-16 10:26:58	ga_ls8c_ard_3-0-0_102067_2015-06-16_final
2019-08-07 10:21:35	ga_ls8c_ard_3-1-0_101067_2019-08-07_final
2019-08-07 10:21:59	ga_ls8c_ard_3-1-0_101068_2019-08-07_final
2019-08-07 10:22:23	ga_ls8c_ard_3-1-0_101069_2019-08-07_final
2019-08-07 10:22:47	ga_ls8c_ard_3-1-0_101070_2019-08-07_final
2019-08-07 10:23:11	ga_ls8c_ard_3-1-0_101071_2019-08-07_final
2019-08-07 10:23:34	ga_ls8c_ard_3-1-0_101072_2019-08-07_final
2019-08-09 10:12:49	ga_ls8c_ard_3-1-0_099076_2019-08-09_final
2019-08-09 10:13:13	ga_ls8c_ard_3-1-0_099077_2019-08-09_final
2019-08-09 10:13:37	ga_ls8c_ard_3-1-0_099078_2019-08-09_final
2019-08-09 10:14:01	ga_ls8c_ard_3-1-0_099079_2019-08-09_final
2019-08-09 10:14:25	ga_ls8c_ard_3-1-0_099080_2019-08-09_final
2019-08-09 10:14:49	ga_ls8c_ard_3-1-0_099081_2019-08-09_final
2019-10-12 10:12:42	ga_ls8c_ard_3-1-0_099075_2019-10-12_final
2019-10-12 10:13:06	ga_ls8c_ard_3-1-0_099076_2019-10-12_final
2019-10-12 10:13:30	ga_ls8c_ard_3-1-0_099077_2019-10-12_final
2019-10-12 10:13:54	ga_ls8c_ard_3-1-0_099078_2019-10-12_final
2019-10-12 10:14:18	ga_ls8c_ard_3-1-0_099079_2019-10-12_final
2019-10-12 10:14:42	ga_ls8c_ard_3-1-0_099080_2019-10-12_final
2019-10-12 10:15:06	ga_ls8c_ard_3-1-0_099081_2019-10-12_final
2021-01-04 10:03:49	ga_ls8c_ard_3-2-0_097084_2021-01-04_final
2021-01-04 10:04:13	ga_ls8c_ard_3-2-0_097085_2021-01-04_final
2021-01-04 10:04:37	ga_ls8c_ard_3-2-0_097086_2021-01-04_final
2021-01-07 10:27:55	ga_ls8c_ard_3-2-0_102067_2021-01-07_final
2021-03-07 10:12:39	ga_ls8c_ard_3-2-0_099076_2021-03-07_final
2021-03-07 10:13:03	ga_ls8c_ard_3-2-0_099077_2021-03-07_final
2021-03-07 10:13:27	ga_ls8c_ard_3-2-0_099078_2021-03-07_final
2021-03-07 10:13:51	ga_ls8c_ard_3-2-0_099079_2021-03-07_final
2021-03-07 10:14:15	ga_ls8c_ard_3-2-0_099080_2021-03-07_final
2021-03-07 10:14:39	ga_ls8c_ard_3-2-0_099081_2021-03-07_final
2021-03-09 10:03:28	ga_ls8c_ard_3-2-0_097084_2021-03-09_final
2021-03-09 10:03:52	ga_ls8c_ard_3-2-0_097085_2021-03-09_final
2021-03-09 10:04:16	ga_ls8c_ard_3-2-0_097086_2021-03-09_final
2021-03-12 10:27:33	ga_ls8c_ard_3-2-0_102067_2021-03-12_final
2021-03-18 09:58:23	ga_ls8c_ard_3-2-0_096087_2021-03-18_final
2021-04-01 10:07:55	ga_ls8c_ard_3-2-0_098080_2021-04-01_final
2021-04-01 10:08:19	ga_ls8c_ard_3-2-0_098081_2021-04-01_final
2021-04-01 10:08:43	ga_ls8c_ard_3-2-0_098082_2021-04-01_final
2021-04-01 10:09:06	ga_ls8c_ard_3-2-0_098083_2021-04-01_final
2021-04-01 10:09:30	ga_ls8c_ard_3-2-0_098084_2021-04-01_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