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
2013-11-05 10:08:17	ga_ls8c_ard_3-0-0_098076_2013-11-05_final
2013-11-05 10:08:41	ga_ls8c_ard_3-0-0_098077_2013-11-05_final
2013-11-05 10:09:05	ga_ls8c_ard_3-0-0_098078_2013-11-05_final
2013-11-05 10:09:29	ga_ls8c_ard_3-0-0_098079_2013-11-05_final
2013-11-05 10:09:53	ga_ls8c_ard_3-0-0_098080_2013-11-05_final
2013-11-05 10:10:17	ga_ls8c_ard_3-0-0_098081_2013-11-05_final
2013-11-30 10:03:35	ga_ls8c_ard_3-0-0_097080_2013-11-30_final
2013-11-30 10:03:58	ga_ls8c_ard_3-0-0_097081_2013-11-30_final
2013-11-30 10:04:22	ga_ls8c_ard_3-0-0_097082_2013-11-30_final
2013-11-30 10:04:46	ga_ls8c_ard_3-0-0_097083_2013-11-30_final
2013-11-30 10:05:10	ga_ls8c_ard_3-0-0_097084_2013-11-30_final
2013-11-30 10:05:34	ga_ls8c_ard_3-0-0_097085_2013-11-30_final
2013-12-02 09:54:01	ga_ls8c_ard_3-0-0_095087_2013-12-02_final
2013-12-16 10:03:29	ga_ls8c_ard_3-0-0_097080_2013-12-16_final
2013-12-16 10:03:53	ga_ls8c_ard_3-0-0_097081_2013-12-16_final
2013-12-16 10:04:17	ga_ls8c_ard_3-0-0_097082_2013-12-16_final
2013-12-16 10:04:41	ga_ls8c_ard_3-0-0_097083_2013-12-16_final
2013-12-16 10:05:05	ga_ls8c_ard_3-0-0_097084_2013-12-16_final
2013-12-16 10:05:29	ga_ls8c_ard_3-0-0_097085_2013-12-16_final
2014-01-17 10:03:06	ga_ls8c_ard_3-0-0_097080_2014-01-17_final
2014-01-17 10:03:30	ga_ls8c_ard_3-0-0_097081_2014-01-17_final
2014-01-17 10:03:54	ga_ls8c_ard_3-0-0_097082_2014-01-17_final
2014-01-17 10:04:18	ga_ls8c_ard_3-0-0_097083_2014-01-17_final
2014-01-17 10:04:42	ga_ls8c_ard_3-0-0_097084_2014-01-17_final
2014-01-17 10:05:06	ga_ls8c_ard_3-0-0_097085_2014-01-17_final
2014-02-02 10:03:00	ga_ls8c_ard_3-0-0_097080_2014-02-02_final
2014-02-02 10:03:24	ga_ls8c_ard_3-0-0_097081_2014-02-02_final
2014-02-02 10:03:48	ga_ls8c_ard_3-0-0_097082_2014-02-02_final
2014-02-02 10:04:12	ga_ls8c_ard_3-0-0_097083_2014-02-02_final
2014-02-02 10:04:36	ga_ls8c_ard_3-0-0_097084_2014-02-02_final
2014-02-02 10:05:00	ga_ls8c_ard_3-0-0_097085_2014-02-02_final
2018-06-30 09:56:25	ga_ls8c_ard_3-0-0_096084_2018-06-30_final
2018-06-30 09:56:49	ga_ls8c_ard_3-0-0_096085_2018-06-30_final
2018-06-30 09:57:13	ga_ls8c_ard_3-0-0_096086_2018-06-30_final
2018-06-30 09:57:37	ga_ls8c_ard_3-0-0_096087_2018-06-30_final
2018-07-03 10:20:34	ga_ls8c_ard_3-0-0_101067_2018-07-03_final
2020-03-15 09:57:14	ga_ls8c_ard_3-1-0_096084_2020-03-15_final
2020-03-15 09:57:38	ga_ls8c_ard_3-1-0_096085_2020-03-15_final
2020-03-15 09:58:02	ga_ls8c_ard_3-1-0_096086_2020-03-15_final
2020-03-15 09:58:26	ga_ls8c_ard_3-1-0_096087_2020-03-15_final
2020-03-18 10:21:19	ga_ls8c_ard_3-1-0_101067_2020-03-18_final
2020-05-02 09:56:50	ga_ls8c_ard_3-1-0_096084_2020-05-02_final
2020-05-02 09:57:14	ga_ls8c_ard_3-1-0_096085_2020-05-02_final
2020-05-02 09:57:38	ga_ls8c_ard_3-1-0_096086_2020-05-02_final
2020-05-02 09:58:02	ga_ls8c_ard_3-1-0_096087_2020-05-02_final
2020-05-05 10:20:55	ga_ls8c_ard_3-1-0_101067_2020-05-05_final
2022-02-22 10:11:57	ga_ls8c_ard_3-2-1_099074_2022-02-22_final
2022-02-24 10:01:59	ga_ls8c_ard_3-2-1_097080_2022-02-24_final
2022-02-24 10:02:23	ga_ls8c_ard_3-2-1_097081_2022-02-24_final
2022-02-24 10:02:47	ga_ls8c_ard_3-2-1_097082_2022-02-24_final
2022-02-24 10:03:11	ga_ls8c_ard_3-2-1_097083_2022-02-24_final
2022-02-24 10:03:35	ga_ls8c_ard_3-2-1_097084_2022-02-24_final
2022-02-24 10:03:59	ga_ls8c_ard_3-2-1_097085_2022-02-24_final
2022-03-10 10:11:06	ga_ls8c_ard_3-2-1_099072_2022-03-10_final
2022-03-10 10:11:30	ga_ls8c_ard_3-2-1_099073_2022-03-10_final
2022-03-10 10:11:54	ga_ls8c_ard_3-2-1_099074_2022-03-10_final
2022-03-10 10:12:18	ga_ls8c_ard_3-2-1_099075_2022-03-10_final
2022-03-10 10:12:42	ga_ls8c_ard_3-2-1_099076_2022-03-10_final
2022-03-10 10:13:06	ga_ls8c_ard_3-2-1_099077_2022-03-10_final
2022-03-12 10:01:55	ga_ls8c_ard_3-2-1_097080_2022-03-12_final
2022-03-12 10:02:19	ga_ls8c_ard_3-2-1_097081_2022-03-12_final
2022-03-12 10:02:43	ga_ls8c_ard_3-2-1_097082_2022-03-12_final
2022-03-12 10:03:07	ga_ls8c_ard_3-2-1_097083_2022-03-12_final
2022-03-12 10:03:31	ga_ls8c_ard_3-2-1_097084_2022-03-12_final
2022-03-12 10:03:55	ga_ls8c_ard_3-2-1_097085_2022-03-12_final
2022-03-26 10:10:55	ga_ls8c_ard_3-2-1_099072_2022-03-26_final
2022-03-26 10:11:19	ga_ls8c_ard_3-2-1_099073_2022-03-26_final
2022-03-26 10:11:43	ga_ls8c_ard_3-2-1_099074_2022-03-26_final
2022-03-26 10:12:07	ga_ls8c_ard_3-2-1_099075_2022-03-26_final
2022-03-26 10:12:31	ga_ls8c_ard_3-2-1_099076_2022-03-26_final
2022-03-26 10:12:55	ga_ls8c_ard_3-2-1_099077_2022-03-26_final
2022-03-28 10:01:43	ga_ls8c_ard_3-2-1_097080_2022-03-28_final
2022-03-28 10:02:07	ga_ls8c_ard_3-2-1_097081_2022-03-28_final
2022-03-28 10:02:31	ga_ls8c_ard_3-2-1_097082_2022-03-28_final
2022-03-28 10:02:55	ga_ls8c_ard_3-2-1_097083_2022-03-28_final
2022-03-28 10:03:19	ga_ls8c_ard_3-2-1_097084_2022-03-28_final
2022-03-28 10:03:43	ga_ls8c_ard_3-2-1_097085_2022-03-28_final
2022-05-15 10:01:53	ga_ls8c_ard_3-2-1_097080_2022-05-15_final
2022-05-15 10:02:17	ga_ls8c_ard_3-2-1_097081_2022-05-15_final
2022-05-15 10:02:41	ga_ls8c_ard_3-2-1_097082_2022-05-15_final
2022-05-15 10:03:05	ga_ls8c_ard_3-2-1_097083_2022-05-15_final
2022-05-15 10:03:29	ga_ls8c_ard_3-2-1_097084_2022-05-15_final
2022-05-15 10:03:53	ga_ls8c_ard_3-2-1_097085_2022-05-15_final
2022-05-17 09:52:20	ga_ls8c_ard_3-2-1_095087_2022-05-17_final
2022-05-20 10:16:51	ga_ls8c_ard_3-2-1_100071_2022-05-20_final
2022-05-20 10:17:15	ga_ls8c_ard_3-2-1_100072_2022-05-20_final
2022-07-16 10:11:21	ga_ls8c_ard_3-2-1_099072_2022-07-16_final
2022-07-16 10:11:44	ga_ls8c_ard_3-2-1_099073_2022-07-16_final
2022-07-16 10:12:08	ga_ls8c_ard_3-2-1_099074_2022-07-16_final
2022-07-16 10:12:32	ga_ls8c_ard_3-2-1_099075_2022-07-16_final
2022-07-16 10:12:56	ga_ls8c_ard_3-2-1_099076_2022-07-16_final
2022-07-16 10:13:20	ga_ls8c_ard_3-2-1_099077_2022-07-16_final
2022-07-18 10:02:12	ga_ls8c_ard_3-2-1_097080_2022-07-18_final
2022-07-18 10:02:36	ga_ls8c_ard_3-2-1_097081_2022-07-18_final
2022-07-18 10:03:00	ga_ls8c_ard_3-2-1_097082_2022-07-18_final
2022-07-18 10:03:24	ga_ls8c_ard_3-2-1_097083_2022-07-18_final
2022-07-18 10:03:48	ga_ls8c_ard_3-2-1_097084_2022-07-18_final
2022-07-18 10:04:12	ga_ls8c_ard_3-2-1_097085_2022-07-18_final
2022-07-20 09:52:40	ga_ls8c_ard_3-2-1_095087_2022-07-20_final
2022-07-23 10:17:14	ga_ls8c_ard_3-2-1_100071_2022-07-23_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