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 10:10:44	ga_ls8c_ard_3-0-0_099071_2015-01-18_final
2015-01-18 10:11:08	ga_ls8c_ard_3-0-0_099072_2015-01-18_final
2015-01-18 10:11:32	ga_ls8c_ard_3-0-0_099073_2015-01-18_final
2015-01-18 10:11:56	ga_ls8c_ard_3-0-0_099074_2015-01-18_final
2015-01-18 10:12:20	ga_ls8c_ard_3-0-0_099075_2015-01-18_final
2015-02-19 10:10:32	ga_ls8c_ard_3-0-0_099071_2015-02-19_final
2015-02-19 10:10:56	ga_ls8c_ard_3-0-0_099072_2015-02-19_final
2015-02-19 10:11:20	ga_ls8c_ard_3-0-0_099073_2015-02-19_final
2015-02-19 10:11:44	ga_ls8c_ard_3-0-0_099074_2015-02-19_final
2015-02-19 10:12:08	ga_ls8c_ard_3-0-0_099075_2015-02-19_final
2015-02-19 10:12:32	ga_ls8c_ard_3-0-0_099076_2015-02-19_final
2015-02-28 10:05:55	ga_ls8c_ard_3-0-0_098075_2015-02-28_final
2015-02-28 10:06:19	ga_ls8c_ard_3-0-0_098076_2015-02-28_final
2015-02-28 10:06:43	ga_ls8c_ard_3-0-0_098077_2015-02-28_final
2015-02-28 10:07:07	ga_ls8c_ard_3-0-0_098078_2015-02-28_final
2015-02-28 10:07:31	ga_ls8c_ard_3-0-0_098079_2015-02-28_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
2015-03-14 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
2015-03-16 10:05:44	ga_ls8c_ard_3-0-0_098075_2015-03-16_final
2015-03-16 10:06:08	ga_ls8c_ard_3-0-0_098076_2015-03-16_final
2015-03-16 10:06:32	ga_ls8c_ard_3-0-0_098077_2015-03-16_final
2015-03-16 10:06:56	ga_ls8c_ard_3-0-0_098078_2015-03-16_final
2015-03-16 10:07:20	ga_ls8c_ard_3-0-0_098079_2015-03-16_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
2015-03-18 09:56:34	ga_ls8c_ard_3-0-0_096083_2015-03-18_final
2015-03-18 09:56:58	ga_ls8c_ard_3-0-0_096084_2015-03-18_final
2015-03-18 09:57:21	ga_ls8c_ard_3-0-0_096085_2015-03-18_final
2015-03-18 09:57:45	ga_ls8c_ard_3-0-0_096086_2015-03-18_final
2015-03-18 09:58:09	ga_ls8c_ard_3-0-0_096087_2015-03-18_final
2015-03-30 10:14:46	ga_ls8c_ard_3-0-0_100067_2015-03-30_final
2015-03-30 10:15:10	ga_ls8c_ard_3-0-0_100068_2015-03-30_final
2015-03-30 10:15:34	ga_ls8c_ard_3-0-0_100069_2015-03-30_final
2015-03-30 10:15:57	ga_ls8c_ard_3-0-0_100070_2015-03-30_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
2015-04-01 10:05:33	ga_ls8c_ard_3-0-0_098075_2015-04-01_final
2015-04-01 10:05:57	ga_ls8c_ard_3-0-0_098076_2015-04-01_final
2015-04-01 10:06:21	ga_ls8c_ard_3-0-0_098077_2015-04-01_final
2015-04-01 10:06:45	ga_ls8c_ard_3-0-0_098078_2015-04-01_final
2015-04-01 10:07:09	ga_ls8c_ard_3-0-0_098079_2015-04-01_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
2015-04-03 09:56:21	ga_ls8c_ard_3-0-0_096083_2015-04-03_final
2015-04-03 09:56:45	ga_ls8c_ard_3-0-0_096084_2015-04-03_final
2015-04-03 09:57:09	ga_ls8c_ard_3-0-0_096085_2015-04-03_final
2015-04-03 09:57:33	ga_ls8c_ard_3-0-0_096086_2015-04-03_final
2015-04-03 09:57:56	ga_ls8c_ard_3-0-0_096087_2015-04-03_final
2015-04-12 09:51:46	ga_ls8c_ard_3-0-0_095087_2015-04-12_final
2015-04-12 09:52:10	ga_ls8c_ard_3-0-0_095088_2015-04-12_final
2015-05-12 10:00:36	ga_ls8c_ard_3-0-0_097079_2015-05-12_final
2015-05-12 10:01:00	ga_ls8c_ard_3-0-0_097080_2015-05-12_final
2015-05-12 10:01:24	ga_ls8c_ard_3-0-0_097081_2015-05-12_final
2015-05-12 10:01:48	ga_ls8c_ard_3-0-0_097082_2015-05-12_final
2015-05-12 10:02:12	ga_ls8c_ard_3-0-0_097083_2015-05-12_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
2015-05-14 09:51:24	ga_ls8c_ard_3-0-0_095087_2015-05-14_final
2019-08-07 10:21:35	ga_ls8c_ard_3-1-0_101067_2019-08-07_final
2019-08-09 10:10:50	ga_ls8c_ard_3-1-0_099071_2019-08-09_final
2019-08-09 10:11:13	ga_ls8c_ard_3-1-0_099072_2019-08-09_final
2019-08-09 10:11:37	ga_ls8c_ard_3-1-0_099073_2019-08-09_final
2019-08-09 10:12:01	ga_ls8c_ard_3-1-0_099074_2019-08-09_final
2019-08-09 10:12:25	ga_ls8c_ard_3-1-0_099075_2019-08-09_final
2019-08-09 10:12:49	ga_ls8c_ard_3-1-0_099076_2019-08-09_final
2019-10-12 10:11:07	ga_ls8c_ard_3-1-0_099071_2019-10-12_final
2019-10-12 10:11:31	ga_ls8c_ard_3-1-0_099072_2019-10-12_final
2019-10-12 10:11:54	ga_ls8c_ard_3-1-0_099073_2019-10-12_final
2019-10-12 10:12:18	ga_ls8c_ard_3-1-0_099074_2019-10-12_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
2021-01-04 10:01:49	ga_ls8c_ard_3-2-0_097079_2021-01-04_final
2021-01-04 10:02:13	ga_ls8c_ard_3-2-0_097080_2021-01-04_final
2021-01-04 10:02:37	ga_ls8c_ard_3-2-0_097081_2021-01-04_final
2021-01-04 10:03:01	ga_ls8c_ard_3-2-0_097082_2021-01-04_final
2021-01-04 10:03:25	ga_ls8c_ard_3-2-0_097083_2021-01-04_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
2021-01-06 09:52:38	ga_ls8c_ard_3-2-0_095087_2021-01-06_final
2021-01-06 09:53:02	ga_ls8c_ard_3-2-0_095088_2021-01-06_final
2021-03-07 10:10:39	ga_ls8c_ard_3-2-0_099071_2021-03-07_final
2021-03-07 10:11:03	ga_ls8c_ard_3-2-0_099072_2021-03-07_final
2021-03-07 10:11:27	ga_ls8c_ard_3-2-0_099073_2021-03-07_final
2021-03-07 10:11:51	ga_ls8c_ard_3-2-0_099074_2021-03-07_final
2021-03-07 10:12:15	ga_ls8c_ard_3-2-0_099075_2021-03-07_final
2021-03-07 10:12:39	ga_ls8c_ard_3-2-0_099076_2021-03-07_final
2021-03-09 10:01:52	ga_ls8c_ard_3-2-0_097080_2021-03-09_final
2021-03-09 10:02:16	ga_ls8c_ard_3-2-0_097081_2021-03-09_final
2021-03-09 10:02:40	ga_ls8c_ard_3-2-0_097082_2021-03-09_final
2021-03-09 10:03:04	ga_ls8c_ard_3-2-0_097083_2021-03-09_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
2021-03-11 09:52:17	ga_ls8c_ard_3-2-0_095087_2021-03-11_final
2021-03-11 09:52:41	ga_ls8c_ard_3-2-0_095088_2021-03-11_final
2021-03-18 09:56:48	ga_ls8c_ard_3-2-0_096083_2021-03-18_final
2021-03-18 09:57:12	ga_ls8c_ard_3-2-0_096084_2021-03-18_final
2021-03-18 09:57:35	ga_ls8c_ard_3-2-0_096085_2021-03-18_final
2021-03-18 09:57:59	ga_ls8c_ard_3-2-0_096086_2021-03-18_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