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
2020-06-22 10:23:35	ga_ls8c_ard_3-1-0_101073_2020-06-22_final
2020-06-24 10:10:51	ga_ls8c_ard_3-1-0_099072_2020-06-24_final
2020-06-24 10:11:39	ga_ls8c_ard_3-1-0_099074_2020-06-24_final
2020-06-24 10:14:50	ga_ls8c_ard_3-1-0_099082_2020-06-24_final
2020-06-24 10:15:14	ga_ls8c_ard_3-1-0_099083_2020-06-24_final
2020-06-24 10:15:38	ga_ls8c_ard_3-1-0_099084_2020-06-24_final
2020-06-24 10:16:02	ga_ls8c_ard_3-1-0_099085_2020-06-24_final
2020-06-27 10:42:58	ga_ls8c_ard_3-1-0_104075_2020-06-27_final
2020-06-27 10:44:10	ga_ls8c_ard_3-1-0_104078_2020-06-27_final
2020-07-01 10:17:05	ga_ls8c_ard_3-1-0_100072_2020-07-01_final
2020-07-01 10:17:29	ga_ls8c_ard_3-1-0_100073_2020-07-01_final
2020-07-01 10:17:53	ga_ls8c_ard_3-1-0_100074_2020-07-01_final
2020-07-01 10:18:17	ga_ls8c_ard_3-1-0_100075_2020-07-01_final
2020-07-01 10:18:41	ga_ls8c_ard_3-1-0_100076_2020-07-01_final
2020-07-01 10:19:05	ga_ls8c_ard_3-1-0_100077_2020-07-01_final
2020-07-01 10:19:29	ga_ls8c_ard_3-1-0_100078_2020-07-01_final
2020-07-01 10:20:17	ga_ls8c_ard_3-1-0_100080_2020-07-01_final
2020-07-01 10:20:40	ga_ls8c_ard_3-1-0_100081_2020-07-01_final
2020-07-01 10:21:04	ga_ls8c_ard_3-1-0_100082_2020-07-01_final
2020-07-01 10:21:52	ga_ls8c_ard_3-1-0_100084_2020-07-01_final
2020-07-03 10:09:32	ga_ls8c_ard_3-1-0_098084_2020-07-03_final
2020-07-04 10:46:01	ga_ls8c_ard_3-1-0_105067_2020-07-04_final
2020-07-04 10:47:36	ga_ls8c_ard_3-1-0_105071_2020-07-04_final
2020-07-06 10:38:27	ga_ls8c_ard_3-1-0_103079_2020-07-06_final
2020-07-10 10:11:46	ga_ls8c_ard_3-1-0_099074_2020-07-10_final
2020-07-10 10:12:58	ga_ls8c_ard_3-1-0_099077_2020-07-10_final
2020-07-10 10:13:45	ga_ls8c_ard_3-1-0_099079_2020-07-10_final
2020-07-10 10:14:09	ga_ls8c_ard_3-1-0_099080_2020-07-10_final
2020-07-10 10:14:33	ga_ls8c_ard_3-1-0_099081_2020-07-10_final
2020-07-10 10:15:45	ga_ls8c_ard_3-1-0_099084_2020-07-10_final
2020-07-13 10:42:17	ga_ls8c_ard_3-1-0_104073_2020-07-13_final
2020-07-13 10:43:53	ga_ls8c_ard_3-1-0_104077_2020-07-13_final
2020-07-13 10:44:17	ga_ls8c_ard_3-1-0_104078_2020-07-13_final
2020-07-13 10:45:05	ga_ls8c_ard_3-1-0_104080_2020-07-13_final
2020-07-13 10:45:28	ga_ls8c_ard_3-1-0_104081_2020-07-13_final
2020-07-13 10:45:52	ga_ls8c_ard_3-1-0_104082_2020-07-13_final
2020-07-15 10:28:20	ga_ls8c_ard_3-1-0_102069_2020-07-15_final
2020-07-15 10:28:44	ga_ls8c_ard_3-1-0_102070_2020-07-15_final
2020-07-15 10:29:56	ga_ls8c_ard_3-1-0_102073_2020-07-15_final
2020-07-15 10:30:20	ga_ls8c_ard_3-1-0_102074_2020-07-15_final
2020-07-15 10:30:44	ga_ls8c_ard_3-1-0_102075_2020-07-15_final
2020-07-15 10:31:08	ga_ls8c_ard_3-1-0_102076_2020-07-15_final
2020-07-15 10:31:56	ga_ls8c_ard_3-1-0_102078_2020-07-15_final
2020-07-17 10:16:47	ga_ls8c_ard_3-1-0_100071_2020-07-17_final
2020-07-17 10:17:11	ga_ls8c_ard_3-1-0_100072_2020-07-17_final
2020-07-17 10:17:35	ga_ls8c_ard_3-1-0_100073_2020-07-17_final
2020-07-17 10:17:59	ga_ls8c_ard_3-1-0_100074_2020-07-17_final
2020-07-17 10:18:23	ga_ls8c_ard_3-1-0_100075_2020-07-17_final
2020-07-17 10:18:47	ga_ls8c_ard_3-1-0_100076_2020-07-17_final
2020-07-17 10:19:11	ga_ls8c_ard_3-1-0_100077_2020-07-17_final
2020-07-17 10:19:35	ga_ls8c_ard_3-1-0_100078_2020-07-17_final
2020-07-17 10:21:58	ga_ls8c_ard_3-1-0_100084_2020-07-17_final
2020-07-20 10:46:06	ga_ls8c_ard_3-1-0_105067_2020-07-20_final
2020-07-20 10:46:54	ga_ls8c_ard_3-1-0_105069_2020-07-20_final
2020-07-20 10:47:18	ga_ls8c_ard_3-1-0_105070_2020-07-20_final
2020-07-20 10:48:06	ga_ls8c_ard_3-1-0_105072_2020-07-20_final
2020-07-20 10:48:30	ga_ls8c_ard_3-1-0_105073_2020-07-20_final
2020-07-20 10:48:54	ga_ls8c_ard_3-1-0_105074_2020-07-20_final
2020-07-20 10:49:18	ga_ls8c_ard_3-1-0_105075_2020-07-20_final
2020-07-20 10:49:42	ga_ls8c_ard_3-1-0_105076_2020-07-20_final
2020-07-22 10:38:33	ga_ls8c_ard_3-1-0_103079_2020-07-22_final
2020-07-24 10:26:36	ga_ls8c_ard_3-1-0_101080_2020-07-24_final
2020-07-24 10:27:47	ga_ls8c_ard_3-1-0_101083_2020-07-24_final
2020-07-26 10:11:51	ga_ls8c_ard_3-1-0_099074_2020-07-26_final
2020-07-26 10:12:15	ga_ls8c_ard_3-1-0_099075_2020-07-26_final
2020-07-26 10:15:26	ga_ls8c_ard_3-1-0_099083_2020-07-26_final
2020-07-26 10:15:50	ga_ls8c_ard_3-1-0_099084_2020-07-26_final
2020-07-26 10:16:14	ga_ls8c_ard_3-1-0_099085_2020-07-26_final
2020-07-29 10:40:22	ga_ls8c_ard_3-1-0_104068_2020-07-29_final
2020-07-29 10:40:46	ga_ls8c_ard_3-1-0_104069_2020-07-29_final
2020-07-29 10:41:10	ga_ls8c_ard_3-1-0_104070_2020-07-29_final
2020-07-29 10:41:58	ga_ls8c_ard_3-1-0_104072_2020-07-29_final
2020-07-29 10:42:22	ga_ls8c_ard_3-1-0_104073_2020-07-29_final
2020-07-29 10:44:21	ga_ls8c_ard_3-1-0_104078_2020-07-29_final
2020-07-29 10:44:45	ga_ls8c_ard_3-1-0_104079_2020-07-29_final
2020-07-29 10:45:09	ga_ls8c_ard_3-1-0_104080_2020-07-29_final
2020-07-29 10:45:57	ga_ls8c_ard_3-1-0_104082_2020-07-29_final
2020-07-29 10:46:21	ga_ls8c_ard_3-1-0_104083_2020-07-29_final
2020-07-31 10:27:37	ga_ls8c_ard_3-1-0_102067_2020-07-31_final
2020-07-31 10:28:01	ga_ls8c_ard_3-1-0_102068_2020-07-31_final
2020-07-31 10:28:25	ga_ls8c_ard_3-1-0_102069_2020-07-31_final
2020-07-31 10:28:49	ga_ls8c_ard_3-1-0_102070_2020-07-31_final
2020-07-31 10:29:36	ga_ls8c_ard_3-1-0_102072_2020-07-31_final
2020-07-31 10:30:00	ga_ls8c_ard_3-1-0_102073_2020-07-31_final
2020-07-31 10:33:36	ga_ls8c_ard_3-1-0_102082_2020-07-31_final
2020-07-31 10:34:00	ga_ls8c_ard_3-1-0_102083_2020-07-31_final
2020-08-02 10:15:16	ga_ls8c_ard_3-1-0_100067_2020-08-02_final
2020-08-02 10:15:40	ga_ls8c_ard_3-1-0_100068_2020-08-02_final
2020-08-02 10:16:27	ga_ls8c_ard_3-1-0_100070_2020-08-02_final
2020-08-02 10:16:51	ga_ls8c_ard_3-1-0_100071_2020-08-02_final
2020-08-02 10:17:15	ga_ls8c_ard_3-1-0_100072_2020-08-02_final
2020-08-02 10:17:39	ga_ls8c_ard_3-1-0_100073_2020-08-02_final
2020-08-02 10:18:03	ga_ls8c_ard_3-1-0_100074_2020-08-02_final
2020-08-02 10:18:27	ga_ls8c_ard_3-1-0_100075_2020-08-02_final
2020-08-02 10:18:51	ga_ls8c_ard_3-1-0_100076_2020-08-02_final
2020-08-02 10:19:15	ga_ls8c_ard_3-1-0_100077_2020-08-02_final
2020-08-02 10:19:39	ga_ls8c_ard_3-1-0_100078_2020-08-02_final
2020-08-02 10:20:03	ga_ls8c_ard_3-1-0_100079_2020-08-02_final
2020-08-02 10:20:51	ga_ls8c_ard_3-1-0_100081_2020-08-02_final
2020-08-02 10:21:39	ga_ls8c_ard_3-1-0_100083_2020-08-02_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