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
2019-07-08 10:09:27	ga_ls8c_ard_3-1-0_099068_2019-07-08_final
2019-07-08 10:09:51	ga_ls8c_ard_3-1-0_099069_2019-07-08_final
2019-07-08 10:10:15	ga_ls8c_ard_3-1-0_099070_2019-07-08_final
2019-07-08 10:10:39	ga_ls8c_ard_3-1-0_099071_2019-07-08_final
2019-07-08 10:11:03	ga_ls8c_ard_3-1-0_099072_2019-07-08_final
2019-07-08 10:11:27	ga_ls8c_ard_3-1-0_099073_2019-07-08_final
2019-07-08 10:11:51	ga_ls8c_ard_3-1-0_099074_2019-07-08_final
2019-07-10 10:00:41	ga_ls8c_ard_3-1-0_097077_2019-07-10_final
2019-07-10 10:01:05	ga_ls8c_ard_3-1-0_097078_2019-07-10_final
2019-07-10 10:01:29	ga_ls8c_ard_3-1-0_097079_2019-07-10_final
2019-07-10 10:01:53	ga_ls8c_ard_3-1-0_097080_2019-07-10_final
2019-07-10 10:02:17	ga_ls8c_ard_3-1-0_097081_2019-07-10_final
2019-07-10 10:02:41	ga_ls8c_ard_3-1-0_097082_2019-07-10_final
2019-07-10 10:03:05	ga_ls8c_ard_3-1-0_097083_2019-07-10_final
2019-08-27 10:00:57	ga_ls8c_ard_3-1-0_097077_2019-08-27_final
2019-08-27 10:01:20	ga_ls8c_ard_3-1-0_097078_2019-08-27_final
2019-08-27 10:01:44	ga_ls8c_ard_3-1-0_097079_2019-08-27_final
2019-08-27 10:02:08	ga_ls8c_ard_3-1-0_097080_2019-08-27_final
2019-08-27 10:02:32	ga_ls8c_ard_3-1-0_097081_2019-08-27_final
2019-08-27 10:02:56	ga_ls8c_ard_3-1-0_097082_2019-08-27_final
2019-08-27 10:03:20	ga_ls8c_ard_3-1-0_097083_2019-08-27_final
2019-10-14 10:01:09	ga_ls8c_ard_3-1-0_097077_2019-10-14_final
2019-10-14 10:01:33	ga_ls8c_ard_3-1-0_097078_2019-10-14_final
2019-10-14 10:01:57	ga_ls8c_ard_3-1-0_097079_2019-10-14_final
2019-10-14 10:02:21	ga_ls8c_ard_3-1-0_097080_2019-10-14_final
2019-10-14 10:02:45	ga_ls8c_ard_3-1-0_097081_2019-10-14_final
2019-10-14 10:03:09	ga_ls8c_ard_3-1-0_097082_2019-10-14_final
2019-10-14 10:03:33	ga_ls8c_ard_3-1-0_097083_2019-10-14_final
2019-10-16 09:51:59	ga_ls8c_ard_3-1-0_095085_2019-10-16_final
2019-10-16 09:52:23	ga_ls8c_ard_3-1-0_095086_2019-10-16_final
2019-10-16 09:52:47	ga_ls8c_ard_3-1-0_095087_2019-10-16_final
2019-10-16 09:53:11	ga_ls8c_ard_3-1-0_095088_2019-10-16_final
2019-12-01 10:01:29	ga_ls8c_ard_3-1-0_097078_2019-12-01_final
2019-12-01 10:01:53	ga_ls8c_ard_3-1-0_097079_2019-12-01_final
2019-12-01 10:02:16	ga_ls8c_ard_3-1-0_097080_2019-12-01_final
2019-12-01 10:02:40	ga_ls8c_ard_3-1-0_097081_2019-12-01_final
2019-12-01 10:03:04	ga_ls8c_ard_3-1-0_097082_2019-12-01_final
2019-12-01 10:03:28	ga_ls8c_ard_3-1-0_097083_2019-12-01_final
2019-12-03 09:51:55	ga_ls8c_ard_3-1-0_095085_2019-12-03_final
2019-12-03 09:52:18	ga_ls8c_ard_3-1-0_095086_2019-12-03_final
2019-12-03 09:52:42	ga_ls8c_ard_3-1-0_095087_2019-12-03_final
2019-12-03 09:53:06	ga_ls8c_ard_3-1-0_095088_2019-12-03_final
2021-01-04 10:01:25	ga_ls8c_ard_3-2-0_097078_2021-01-04_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
2021-01-06 09:51:50	ga_ls8c_ard_3-2-0_095085_2021-01-06_final
2021-01-06 09:52:14	ga_ls8c_ard_3-2-0_095086_2021-01-06_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
2021-02-03 10:09:39	ga_ls8c_ard_3-2-0_099068_2021-02-03_final
2021-02-03 10:10:03	ga_ls8c_ard_3-2-0_099069_2021-02-03_final
2021-02-03 10:10:27	ga_ls8c_ard_3-2-0_099070_2021-02-03_final
2021-02-03 10:10:51	ga_ls8c_ard_3-2-0_099071_2021-02-03_final
2021-02-03 10:11:15	ga_ls8c_ard_3-2-0_099072_2021-02-03_final
2021-02-03 10:11:39	ga_ls8c_ard_3-2-0_099073_2021-02-03_final
2021-02-03 10:12:03	ga_ls8c_ard_3-2-0_099074_2021-02-03_final
2021-04-08 10:09:16	ga_ls8c_ard_3-2-0_099068_2021-04-08_final
2021-04-08 10:09:40	ga_ls8c_ard_3-2-0_099069_2021-04-08_final
2021-04-08 10:10:04	ga_ls8c_ard_3-2-0_099070_2021-04-08_final
2021-04-08 10:10:28	ga_ls8c_ard_3-2-0_099071_2021-04-08_final
2021-04-08 10:10:52	ga_ls8c_ard_3-2-0_099072_2021-04-08_final
2021-04-08 10:11:16	ga_ls8c_ard_3-2-0_099073_2021-04-08_final
2021-04-08 10:11:40	ga_ls8c_ard_3-2-0_099074_2021-04-08_final
2021-04-10 10:00:29	ga_ls8c_ard_3-2-0_097077_2021-04-10_final
2021-04-10 10:00:53	ga_ls8c_ard_3-2-0_097078_2021-04-10_final
2021-04-10 10:01:17	ga_ls8c_ard_3-2-0_097079_2021-04-10_final
2021-04-10 10:01:41	ga_ls8c_ard_3-2-0_097080_2021-04-10_final
2021-04-10 10:02:05	ga_ls8c_ard_3-2-0_097081_2021-04-10_final
2021-04-10 10:02:29	ga_ls8c_ard_3-2-0_097082_2021-04-10_final
2021-04-10 10:02:53	ga_ls8c_ard_3-2-0_097083_2021-04-10_final
2021-08-30 10:11:44	ga_ls8c_ard_3-2-0_099073_2021-08-30_final
2023-02-13 09:51:53	ga_ls8c_ard_3-2-1_095085_2023-02-13_final
2023-02-13 09:52:17	ga_ls8c_ard_3-2-1_095086_2023-02-13_final
2023-02-13 09:52:41	ga_ls8c_ard_3-2-1_095087_2023-02-13_final
2023-02-18 10:05:34	ga_ls8c_ard_3-2-1_098073_2023-02-18_final
2023-02-18 10:05:57	ga_ls8c_ard_3-2-1_098074_2023-02-18_final
2023-02-18 10:06:21	ga_ls8c_ard_3-2-1_098075_2023-02-18_final
2023-02-18 10:06:45	ga_ls8c_ard_3-2-1_098076_2023-02-18_final
2023-02-18 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-02-18_final
2023-02-18 10:07:33	ga_ls8c_ard_3-2-1_098078_2023-02-18_final
2023-02-18 10:07:57	ga_ls8c_ard_3-2-1_098079_2023-02-18_final
2023-02-20 09:56:45	ga_ls8c_ard_3-2-1_096082_2023-02-20_final
2023-02-20 09:57:09	ga_ls8c_ard_3-2-1_096083_2023-02-20_final
2023-02-20 09:57:33	ga_ls8c_ard_3-2-1_096084_2023-02-20_final
2023-02-20 09:57:57	ga_ls8c_ard_3-2-1_096085_2023-02-20_final
2023-02-20 09:58:21	ga_ls8c_ard_3-2-1_096086_2023-02-20_final
2023-03-06 10:05:22	ga_ls8c_ard_3-2-1_098073_2023-03-06_final
2023-03-06 10:05:45	ga_ls8c_ard_3-2-1_098074_2023-03-06_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
2023-03-08 09:56:33	ga_ls8c_ard_3-2-1_096082_2023-03-08_final
2023-03-08 09:56:57	ga_ls8c_ard_3-2-1_096083_2023-03-08_final
2023-03-08 09:57:21	ga_ls8c_ard_3-2-1_096084_2023-03-08_final
2023-03-08 09:57:45	ga_ls8c_ard_3-2-1_096085_2023-03-08_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