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
2015-02-17 10:27:17	ga_ls8c_ard_3-0-0_101082_2015-02-17_final
2015-02-17 10:27:41	ga_ls8c_ard_3-0-0_101083_2015-02-17_final
2015-03-01 10:45:59	ga_ls8c_ard_3-0-0_105067_2015-03-01_final
2015-03-01 10:46:23	ga_ls8c_ard_3-0-0_105068_2015-03-01_final
2015-03-01 10:46:47	ga_ls8c_ard_3-0-0_105069_2015-03-01_final
2017-03-24 10:35:52	ga_ls8c_ard_3-0-0_103073_2017-03-24_final
2017-03-24 10:36:16	ga_ls8c_ard_3-0-0_103074_2017-03-24_final
2017-03-24 10:36:40	ga_ls8c_ard_3-0-0_103075_2017-03-24_final
2017-03-24 10:37:04	ga_ls8c_ard_3-0-0_103076_2017-03-24_final
2017-03-24 10:37:28	ga_ls8c_ard_3-0-0_103077_2017-03-24_final
2017-03-24 10:37:52	ga_ls8c_ard_3-0-0_103078_2017-03-24_final
2017-03-24 10:38:16	ga_ls8c_ard_3-0-0_103079_2017-03-24_final
2017-04-16 10:39:53	ga_ls8c_ard_3-0-0_104068_2017-04-16_final
2017-04-16 10:40:17	ga_ls8c_ard_3-0-0_104069_2017-04-16_final
2017-04-16 10:40:40	ga_ls8c_ard_3-0-0_104070_2017-04-16_final
2017-04-16 10:41:04	ga_ls8c_ard_3-0-0_104071_2017-04-16_final
2017-04-16 10:41:28	ga_ls8c_ard_3-0-0_104072_2017-04-16_final
2017-04-16 10:41:52	ga_ls8c_ard_3-0-0_104073_2017-04-16_final
2017-04-16 10:42:16	ga_ls8c_ard_3-0-0_104074_2017-04-16_final
2017-04-18 10:31:05	ga_ls8c_ard_3-0-0_102077_2017-04-18_final
2017-04-18 10:31:29	ga_ls8c_ard_3-0-0_102078_2017-04-18_final
2017-04-18 10:31:53	ga_ls8c_ard_3-0-0_102079_2017-04-18_final
2017-04-18 10:32:17	ga_ls8c_ard_3-0-0_102080_2017-04-18_final
2017-04-18 10:32:41	ga_ls8c_ard_3-0-0_102081_2017-04-18_final
2017-04-18 10:33:05	ga_ls8c_ard_3-0-0_102082_2017-04-18_final
2017-04-18 10:33:29	ga_ls8c_ard_3-0-0_102083_2017-04-18_final
2017-04-25 10:35:35	ga_ls8c_ard_3-0-0_103073_2017-04-25_final
2017-04-25 10:35:59	ga_ls8c_ard_3-0-0_103074_2017-04-25_final
2017-04-25 10:36:23	ga_ls8c_ard_3-0-0_103075_2017-04-25_final
2017-04-25 10:36:47	ga_ls8c_ard_3-0-0_103076_2017-04-25_final
2017-04-25 10:37:11	ga_ls8c_ard_3-0-0_103077_2017-04-25_final
2017-04-25 10:37:35	ga_ls8c_ard_3-0-0_103078_2017-04-25_final
2017-04-25 10:37:59	ga_ls8c_ard_3-0-0_103079_2017-04-25_final
2017-04-27 10:26:48	ga_ls8c_ard_3-0-0_101082_2017-04-27_final
2017-04-27 10:27:12	ga_ls8c_ard_3-0-0_101083_2017-04-27_final
2017-04-27 10:27:36	ga_ls8c_ard_3-0-0_101084_2017-04-27_final
2017-07-28 10:46:09	ga_ls8c_ard_3-0-0_105067_2017-07-28_final
2017-07-28 10:46:33	ga_ls8c_ard_3-0-0_105068_2017-07-28_final
2017-07-28 10:46:57	ga_ls8c_ard_3-0-0_105069_2017-07-28_final
2017-08-08 10:31:40	ga_ls8c_ard_3-0-0_102077_2017-08-08_final
2017-08-08 10:32:04	ga_ls8c_ard_3-0-0_102078_2017-08-08_final
2017-08-08 10:32:28	ga_ls8c_ard_3-0-0_102079_2017-08-08_final
2017-08-08 10:32:52	ga_ls8c_ard_3-0-0_102080_2017-08-08_final
2017-08-08 10:33:16	ga_ls8c_ard_3-0-0_102081_2017-08-08_final
2017-08-08 10:33:40	ga_ls8c_ard_3-0-0_102082_2017-08-08_final
2017-08-08 10:34:04	ga_ls8c_ard_3-0-0_102083_2017-08-08_final
2017-08-10 10:22:31	ga_ls8c_ard_3-0-0_100085_2017-08-10_final
2017-08-15 10:36:17	ga_ls8c_ard_3-0-0_103073_2017-08-15_final
2017-08-15 10:36:41	ga_ls8c_ard_3-0-0_103074_2017-08-15_final
2017-08-15 10:37:05	ga_ls8c_ard_3-0-0_103075_2017-08-15_final
2017-08-15 10:37:29	ga_ls8c_ard_3-0-0_103076_2017-08-15_final
2017-08-15 10:37:53	ga_ls8c_ard_3-0-0_103077_2017-08-15_final
2017-08-15 10:38:17	ga_ls8c_ard_3-0-0_103078_2017-08-15_final
2017-08-15 10:38:41	ga_ls8c_ard_3-0-0_103079_2017-08-15_final
2017-08-17 10:27:08	ga_ls8c_ard_3-0-0_101081_2017-08-17_final
2017-08-17 10:27:32	ga_ls8c_ard_3-0-0_101082_2017-08-17_final
2017-08-17 10:27:56	ga_ls8c_ard_3-0-0_101083_2017-08-17_final
2017-08-17 10:28:20	ga_ls8c_ard_3-0-0_101084_2017-08-17_final
2017-08-24 10:31:45	ga_ls8c_ard_3-0-0_102077_2017-08-24_final
2017-08-24 10:32:09	ga_ls8c_ard_3-0-0_102078_2017-08-24_final
2017-08-24 10:32:33	ga_ls8c_ard_3-0-0_102079_2017-08-24_final
2017-08-24 10:32:56	ga_ls8c_ard_3-0-0_102080_2017-08-24_final
2017-08-24 10:33:20	ga_ls8c_ard_3-0-0_102081_2017-08-24_final
2017-08-24 10:33:44	ga_ls8c_ard_3-0-0_102082_2017-08-24_final
2017-08-24 10:34:08	ga_ls8c_ard_3-0-0_102083_2017-08-24_final
2017-08-26 10:22:35	ga_ls8c_ard_3-0-0_100085_2017-08-26_final
2023-03-23 10:46:03	ga_ls8c_ard_3-2-1_105067_2023-03-23_final
2023-03-23 10:46:27	ga_ls8c_ard_3-2-1_105068_2023-03-23_final
2023-03-23 10:46:51	ga_ls8c_ard_3-2-1_105069_2023-03-23_final
2023-04-01 10:40:12	ga_ls8c_ard_3-2-1_104068_2023-04-01_final
2023-04-01 10:40:36	ga_ls8c_ard_3-2-1_104069_2023-04-01_final
2023-04-01 10:41:00	ga_ls8c_ard_3-2-1_104070_2023-04-01_final
2023-04-01 10:41:24	ga_ls8c_ard_3-2-1_104071_2023-04-01_final
2023-04-01 10:41:48	ga_ls8c_ard_3-2-1_104072_2023-04-01_final
2023-04-01 10:42:12	ga_ls8c_ard_3-2-1_104073_2023-04-01_final
2023-04-01 10:42:36	ga_ls8c_ard_3-2-1_104074_2023-04-01_final
2023-04-03 10:31:24	ga_ls8c_ard_3-2-1_102077_2023-04-03_final
2023-04-03 10:31:48	ga_ls8c_ard_3-2-1_102078_2023-04-03_final
2023-04-03 10:32:12	ga_ls8c_ard_3-2-1_102079_2023-04-03_final
2023-04-03 10:32:36	ga_ls8c_ard_3-2-1_102080_2023-04-03_final
2023-04-03 10:33:00	ga_ls8c_ard_3-2-1_102081_2023-04-03_final
2023-04-03 10:33:24	ga_ls8c_ard_3-2-1_102082_2023-04-03_final
2023-04-10 10:35:49	ga_ls8c_ard_3-2-1_103073_2023-04-10_final
2023-04-10 10:36:13	ga_ls8c_ard_3-2-1_103074_2023-04-10_final
2023-04-10 10:36:37	ga_ls8c_ard_3-2-1_103075_2023-04-10_final
2023-04-10 10:37:01	ga_ls8c_ard_3-2-1_103076_2023-04-10_final
2023-04-10 10:37:25	ga_ls8c_ard_3-2-1_103077_2023-04-10_final
2023-04-10 10:37:49	ga_ls8c_ard_3-2-1_103078_2023-04-10_final
2023-04-10 10:38:13	ga_ls8c_ard_3-2-1_103079_2023-04-10_final
2023-04-12 10:27:02	ga_ls8c_ard_3-2-1_101082_2023-04-12_final
2023-04-12 10:27:26	ga_ls8c_ard_3-2-1_101083_2023-04-12_final
2023-04-24 10:45:44	ga_ls8c_ard_3-2-1_105067_2023-04-24_final
2023-04-24 10:46:08	ga_ls8c_ard_3-2-1_105068_2023-04-24_final
2023-04-24 10:46:32	ga_ls8c_ard_3-2-1_105069_2023-04-24_final
2023-04-26 10:35:45	ga_ls8c_ard_3-2-1_103073_2023-04-26_final
2023-04-26 10:36:09	ga_ls8c_ard_3-2-1_103074_2023-04-26_final
2023-04-26 10:36:33	ga_ls8c_ard_3-2-1_103075_2023-04-26_final
2023-04-26 10:36:57	ga_ls8c_ard_3-2-1_103076_2023-04-26_final
2023-04-26 10:37:21	ga_ls8c_ard_3-2-1_103077_2023-04-26_final
2023-04-26 10:37:45	ga_ls8c_ard_3-2-1_103078_2023-04-26_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