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
2024-04-09 10:02:33	ga_ls8c_ard_3-2-1_098067_2024-04-09_final
2024-04-09 10:02:57	ga_ls8c_ard_3-2-1_098068_2024-04-09_final
2024-04-09 10:03:21	ga_ls8c_ard_3-2-1_098069_2024-04-09_final
2024-04-09 10:03:44	ga_ls8c_ard_3-2-1_098070_2024-04-09_final
2024-04-09 10:04:08	ga_ls8c_ard_3-2-1_098071_2024-04-09_final
2024-04-09 10:04:32	ga_ls8c_ard_3-2-1_098072_2024-04-09_final
2024-04-09 10:04:56	ga_ls8c_ard_3-2-1_098073_2024-04-09_final
2024-04-09 10:05:20	ga_ls8c_ard_3-2-1_098074_2024-04-09_final
2024-04-09 10:06:08	ga_ls8c_ard_3-2-1_098076_2024-04-09_final
2024-04-09 10:06:32	ga_ls8c_ard_3-2-1_098077_2024-04-09_final
2024-04-09 10:06:56	ga_ls8c_ard_3-2-1_098078_2024-04-09_final
2024-04-09 10:07:20	ga_ls8c_ard_3-2-1_098079_2024-04-09_final
2024-04-09 10:07:44	ga_ls8c_ard_3-2-1_098080_2024-04-09_final
2024-04-09 10:08:08	ga_ls8c_ard_3-2-1_098081_2024-04-09_final
2024-04-09 10:08:32	ga_ls8c_ard_3-2-1_098082_2024-04-09_final
2024-04-11 09:53:22	ga_ls8c_ard_3-2-1_096075_2024-04-11_final
2024-04-11 09:53:46	ga_ls8c_ard_3-2-1_096076_2024-04-11_final
2024-04-11 09:54:09	ga_ls8c_ard_3-2-1_096077_2024-04-11_final
2024-04-11 09:54:33	ga_ls8c_ard_3-2-1_096078_2024-04-11_final
2024-04-11 09:54:57	ga_ls8c_ard_3-2-1_096079_2024-04-11_final
2024-04-11 09:55:21	ga_ls8c_ard_3-2-1_096080_2024-04-11_final
2024-04-11 09:55:45	ga_ls8c_ard_3-2-1_096081_2024-04-11_final
2024-04-11 09:56:09	ga_ls8c_ard_3-2-1_096082_2024-04-11_final
2024-04-11 09:56:33	ga_ls8c_ard_3-2-1_096083_2024-04-11_final
2024-04-11 09:56:57	ga_ls8c_ard_3-2-1_096084_2024-04-11_final
2024-04-11 09:57:21	ga_ls8c_ard_3-2-1_096085_2024-04-11_final
2024-04-13 09:44:34	ga_ls8c_ard_3-2-1_094084_2024-04-13_final
2024-04-13 09:44:58	ga_ls8c_ard_3-2-1_094085_2024-04-13_final
2024-04-16 10:09:03	ga_ls8c_ard_3-2-1_099068_2024-04-16_final
2024-04-16 10:09:51	ga_ls8c_ard_3-2-1_099070_2024-04-16_final
2024-04-16 10:10:39	ga_ls8c_ard_3-2-1_099072_2024-04-16_final
2024-04-16 10:11:27	ga_ls8c_ard_3-2-1_099074_2024-04-16_final
2024-04-16 10:12:38	ga_ls8c_ard_3-2-1_099077_2024-04-16_final
2024-04-18 09:57:51	ga_ls8c_ard_3-2-1_097071_2024-04-18_final
2024-04-18 09:58:15	ga_ls8c_ard_3-2-1_097072_2024-04-18_final
2024-04-18 09:58:39	ga_ls8c_ard_3-2-1_097073_2024-04-18_final
2024-04-18 09:59:27	ga_ls8c_ard_3-2-1_097075_2024-04-18_final
2024-04-18 09:59:51	ga_ls8c_ard_3-2-1_097076_2024-04-18_final
2024-04-18 10:00:14	ga_ls8c_ard_3-2-1_097077_2024-04-18_final
2024-04-18 10:00:38	ga_ls8c_ard_3-2-1_097078_2024-04-18_final
2024-04-18 10:01:02	ga_ls8c_ard_3-2-1_097079_2024-04-18_final
2024-04-18 10:01:26	ga_ls8c_ard_3-2-1_097080_2024-04-18_final
2024-04-18 10:01:50	ga_ls8c_ard_3-2-1_097081_2024-04-18_final
2024-04-18 10:02:14	ga_ls8c_ard_3-2-1_097082_2024-04-18_final
2024-04-18 10:02:38	ga_ls8c_ard_3-2-1_097083_2024-04-18_final
2024-04-18 10:03:02	ga_ls8c_ard_3-2-1_097084_2024-04-18_final
2024-04-20 09:49:03	ga_ls8c_ard_3-2-1_095080_2024-04-20_final
2024-04-20 09:49:27	ga_ls8c_ard_3-2-1_095081_2024-04-20_final
2024-04-20 09:50:15	ga_ls8c_ard_3-2-1_095083_2024-04-20_final
2024-04-20 09:51:03	ga_ls8c_ard_3-2-1_095085_2024-04-20_final
2024-04-22 09:39:30	ga_ls8c_ard_3-2-1_093087_2024-04-22_final
2024-04-22 09:39:54	ga_ls8c_ard_3-2-1_093088_2024-04-22_final
2024-04-23 10:16:22	ga_ls8c_ard_3-2-1_100071_2024-04-23_final
2024-04-23 10:16:46	ga_ls8c_ard_3-2-1_100072_2024-04-23_final
2024-04-23 10:17:10	ga_ls8c_ard_3-2-1_100073_2024-04-23_final
2024-04-23 10:17:34	ga_ls8c_ard_3-2-1_100074_2024-04-23_final
2024-04-27 09:53:12	ga_ls8c_ard_3-2-1_096075_2024-04-27_final
2024-04-27 09:54:48	ga_ls8c_ard_3-2-1_096079_2024-04-27_final
2024-04-27 09:55:12	ga_ls8c_ard_3-2-1_096080_2024-04-27_final
2024-04-27 09:55:36	ga_ls8c_ard_3-2-1_096081_2024-04-27_final
2024-04-27 09:56:48	ga_ls8c_ard_3-2-1_096084_2024-04-27_final
2024-04-27 09:57:12	ga_ls8c_ard_3-2-1_096085_2024-04-27_final
2024-04-27 09:57:35	ga_ls8c_ard_3-2-1_096086_2024-04-27_final
2024-04-29 09:44:24	ga_ls8c_ard_3-2-1_094084_2024-04-29_final
2024-04-29 09:44:48	ga_ls8c_ard_3-2-1_094085_2024-04-29_final
2024-04-29 09:45:12	ga_ls8c_ard_3-2-1_094086_2024-04-29_final
2024-04-29 09:45:36	ga_ls8c_ard_3-2-1_094087_2024-04-29_final
2024-05-02 10:08:28	ga_ls8c_ard_3-2-1_099067_2024-05-02_final
2024-05-02 10:08:51	ga_ls8c_ard_3-2-1_099068_2024-05-02_final
2024-05-02 10:09:15	ga_ls8c_ard_3-2-1_099069_2024-05-02_final
2024-05-02 10:09:39	ga_ls8c_ard_3-2-1_099070_2024-05-02_final
2024-05-02 10:10:03	ga_ls8c_ard_3-2-1_099071_2024-05-02_final
2024-05-02 10:10:27	ga_ls8c_ard_3-2-1_099072_2024-05-02_final
2024-05-02 10:10:51	ga_ls8c_ard_3-2-1_099073_2024-05-02_final
2024-05-02 10:11:15	ga_ls8c_ard_3-2-1_099074_2024-05-02_final
2024-05-02 10:11:39	ga_ls8c_ard_3-2-1_099075_2024-05-02_final
2024-05-02 10:12:03	ga_ls8c_ard_3-2-1_099076_2024-05-02_final
2024-05-02 10:12:27	ga_ls8c_ard_3-2-1_099077_2024-05-02_final
2024-05-02 10:12:51	ga_ls8c_ard_3-2-1_099078_2024-05-02_final
2024-05-04 09:57:17	ga_ls8c_ard_3-2-1_097070_2024-05-04_final
2024-05-04 09:57:41	ga_ls8c_ard_3-2-1_097071_2024-05-04_final
2024-05-04 09:58:05	ga_ls8c_ard_3-2-1_097072_2024-05-04_final
2024-05-04 09:58:29	ga_ls8c_ard_3-2-1_097073_2024-05-04_final
2024-05-04 09:58:53	ga_ls8c_ard_3-2-1_097074_2024-05-04_final
2024-05-04 09:59:41	ga_ls8c_ard_3-2-1_097076_2024-05-04_final
2024-05-04 10:00:05	ga_ls8c_ard_3-2-1_097077_2024-05-04_final
2024-05-04 10:00:29	ga_ls8c_ard_3-2-1_097078_2024-05-04_final
2024-05-04 10:00:53	ga_ls8c_ard_3-2-1_097079_2024-05-04_final
2024-05-04 10:01:41	ga_ls8c_ard_3-2-1_097081_2024-05-04_final
2024-05-04 10:02:04	ga_ls8c_ard_3-2-1_097082_2024-05-04_final
2024-05-04 10:02:28	ga_ls8c_ard_3-2-1_097083_2024-05-04_final
2024-05-04 10:02:52	ga_ls8c_ard_3-2-1_097084_2024-05-04_final
2024-05-04 10:03:16	ga_ls8c_ard_3-2-1_097085_2024-05-04_final
2024-05-06 09:48:54	ga_ls8c_ard_3-2-1_095080_2024-05-06_final
2024-05-06 09:49:18	ga_ls8c_ard_3-2-1_095081_2024-05-06_final
2024-05-06 09:49:42	ga_ls8c_ard_3-2-1_095082_2024-05-06_final
2024-05-06 09:50:06	ga_ls8c_ard_3-2-1_095083_2024-05-06_final
2024-05-06 09:50:30	ga_ls8c_ard_3-2-1_095084_2024-05-06_final
2024-05-06 09:50:54	ga_ls8c_ard_3-2-1_095085_2024-05-06_final
2024-05-06 09:51:18	ga_ls8c_ard_3-2-1_095086_2024-05-06_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