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
2015-02-19 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
2015-03-30 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
2015-04-15 10:15:53	ga_ls8c_ard_3-0-0_100070_2015-04-15_final
2015-04-15 10:16:17	ga_ls8c_ard_3-0-0_100071_2015-04-15_final
2015-04-15 10:16:41	ga_ls8c_ard_3-0-0_100072_2015-04-15_final
2015-04-28 09:51:40	ga_ls8c_ard_3-0-0_095087_2015-04-28_final
2015-04-28 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-04-28_final
2015-05-01 10:14:32	ga_ls8c_ard_3-0-0_100067_2015-05-01_final
2015-05-01 10:14:56	ga_ls8c_ard_3-0-0_100068_2015-05-01_final
2015-05-01 10:15:20	ga_ls8c_ard_3-0-0_100069_2015-05-01_final
2015-05-01 10:15:44	ga_ls8c_ard_3-0-0_100070_2015-05-01_final
2015-05-01 10:16:08	ga_ls8c_ard_3-0-0_100071_2015-05-01_final
2015-05-17 10:14:20	ga_ls8c_ard_3-0-0_100067_2015-05-17_final
2015-05-17 10:14:44	ga_ls8c_ard_3-0-0_100068_2015-05-17_final
2015-05-17 10:15:08	ga_ls8c_ard_3-0-0_100069_2015-05-17_final
2015-05-17 10:15:32	ga_ls8c_ard_3-0-0_100070_2015-05-17_final
2015-05-17 10:15:56	ga_ls8c_ard_3-0-0_100071_2015-05-17_final
2015-05-26 10:09:47	ga_ls8c_ard_3-0-0_099071_2015-05-26_final
2015-05-26 10:10:11	ga_ls8c_ard_3-0-0_099072_2015-05-26_final
2015-05-26 10:10:35	ga_ls8c_ard_3-0-0_099073_2015-05-26_final
2015-05-26 10:10:59	ga_ls8c_ard_3-0-0_099074_2015-05-26_final
2015-05-26 10:11:23	ga_ls8c_ard_3-0-0_099075_2015-05-26_final
2015-05-26 10:11:47	ga_ls8c_ard_3-0-0_099076_2015-05-26_final
2015-05-28 10:00:38	ga_ls8c_ard_3-0-0_097079_2015-05-28_final
2015-05-28 10:01:02	ga_ls8c_ard_3-0-0_097080_2015-05-28_final
2015-05-28 10:01:26	ga_ls8c_ard_3-0-0_097081_2015-05-28_final
2015-05-28 10:01:50	ga_ls8c_ard_3-0-0_097082_2015-05-28_final
2015-05-28 10:02:13	ga_ls8c_ard_3-0-0_097083_2015-05-28_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
2015-05-30 09:51:28	ga_ls8c_ard_3-0-0_095087_2015-05-30_final
2015-05-30 09:51:52	ga_ls8c_ard_3-0-0_095088_2015-05-30_final
2015-06-11 10:09:59	ga_ls8c_ard_3-0-0_099071_2015-06-11_final
2015-06-11 10:10:22	ga_ls8c_ard_3-0-0_099072_2015-06-11_final
2015-06-11 10:10:46	ga_ls8c_ard_3-0-0_099073_2015-06-11_final
2015-06-11 10:11:10	ga_ls8c_ard_3-0-0_099074_2015-06-11_final
2015-06-11 10:11:34	ga_ls8c_ard_3-0-0_099075_2015-06-11_final
2015-06-11 10:11:58	ga_ls8c_ard_3-0-0_099076_2015-06-11_final
2015-06-13 10:00:50	ga_ls8c_ard_3-0-0_097079_2015-06-13_final
2015-06-13 10:01:13	ga_ls8c_ard_3-0-0_097080_2015-06-13_final
2015-06-13 10:01:37	ga_ls8c_ard_3-0-0_097081_2015-06-13_final
2015-06-13 10:02:01	ga_ls8c_ard_3-0-0_097082_2015-06-13_final
2015-06-13 10:02:25	ga_ls8c_ard_3-0-0_097083_2015-06-13_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
2015-06-15 09:51:40	ga_ls8c_ard_3-0-0_095087_2015-06-15_final
2015-06-15 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-06-15_final
2017-06-07 10:14:58	ga_ls8c_ard_3-0-0_100067_2017-06-07_final
2017-06-07 10:15:22	ga_ls8c_ard_3-0-0_100068_2017-06-07_final
2017-06-07 10:15:45	ga_ls8c_ard_3-0-0_100069_2017-06-07_final
2017-06-07 10:16:09	ga_ls8c_ard_3-1-0_100070_2017-06-07_final
2017-06-07 10:16:33	ga_ls8c_ard_3-0-0_100071_2017-06-07_final
2017-06-07 10:16:57	ga_ls8c_ard_3-0-0_100072_2017-06-07_final
2023-02-04 09:57:21	ga_ls8c_ard_3-2-1_096083_2023-02-04_final
2023-02-04 09:57:45	ga_ls8c_ard_3-2-1_096084_2023-02-04_final
2023-02-04 09:58:09	ga_ls8c_ard_3-2-1_096085_2023-02-04_final
2023-02-04 09:58:33	ga_ls8c_ard_3-2-1_096086_2023-02-04_final
2023-02-27 10:02:01	ga_ls8c_ard_3-2-1_097080_2023-02-27_final
2023-02-27 10:02:25	ga_ls8c_ard_3-2-1_097081_2023-02-27_final
2023-02-27 10:02:49	ga_ls8c_ard_3-2-1_097082_2023-02-27_final
2023-02-27 10:03:13	ga_ls8c_ard_3-2-1_097083_2023-02-27_final
2023-02-27 10:03:37	ga_ls8c_ard_3-2-1_097084_2023-02-27_final
2023-02-27 10:04:01	ga_ls8c_ard_3-2-1_097085_2023-02-27_final
2023-03-01 09:52:27	ga_ls8c_ard_3-2-1_095087_2023-03-01_final
2023-03-04 10:16:57	ga_ls8c_ard_3-2-1_100071_2023-03-04_final
2023-03-04 10:17:21	ga_ls8c_ard_3-2-1_100072_2023-03-04_final
2023-03-06 10:06:09	ga_ls8c_ard_3-2-1_098075_2023-03-06_final
2023-03-06 10:06:33	ga_ls8c_ard_3-2-1_098076_2023-03-06_final
2023-03-06 10:06:57	ga_ls8c_ard_3-2-1_098077_2023-03-06_final
2023-03-06 10:07:21	ga_ls8c_ard_3-2-1_098078_2023-03-06_final
2023-03-06 10:07:45	ga_ls8c_ard_3-2-1_098079_2023-03-06_final
2023-03-06 10:08:09	ga_ls8c_ard_3-2-1_098080_2023-03-06_final
2023-03-06 10:08:33	ga_ls8c_ard_3-2-1_098081_2023-03-06_final
2023-03-20 10:16:48	ga_ls8c_ard_3-2-1_100071_2023-03-20_final
2023-03-20 10:17:12	ga_ls8c_ard_3-2-1_100072_2023-03-20_final
2023-03-24 09:56:48	ga_ls8c_ard_3-2-1_096083_2023-03-24_final
2023-03-24 09:57:12	ga_ls8c_ard_3-2-1_096084_2023-03-24_final
2023-03-24 09:57:36	ga_ls8c_ard_3-2-1_096085_2023-03-24_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