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
2018-06-07 09:47:35	ga_ls8c_ard_3-0-0_095078_2018-06-07_final
2018-06-07 09:47:59	ga_ls8c_ard_3-0-0_095079_2018-06-07_final
2018-06-07 09:48:23	ga_ls8c_ard_3-0-0_095080_2018-06-07_final
2018-06-07 09:48:47	ga_ls8c_ard_3-0-0_095081_2018-06-07_final
2018-06-07 09:49:11	ga_ls8c_ard_3-0-0_095082_2018-06-07_final
2018-06-07 09:49:35	ga_ls8c_ard_3-0-0_095083_2018-06-07_final
2018-06-09 09:38:03	ga_ls8c_ard_3-0-0_093085_2018-06-09_final
2018-06-09 09:38:27	ga_ls8c_ard_3-0-0_093086_2018-06-09_final
2018-06-09 09:38:51	ga_ls8c_ard_3-0-0_093087_2018-06-09_final
2018-06-09 09:39:15	ga_ls8c_ard_3-0-0_093088_2018-06-09_final
2018-06-14 09:51:52	ga_ls8c_ard_3-0-0_096073_2018-06-14_final
2018-06-14 09:52:15	ga_ls8c_ard_3-0-0_096074_2018-06-14_final
2018-06-14 09:52:39	ga_ls8c_ard_3-0-0_096075_2018-06-14_final
2018-06-14 09:53:03	ga_ls8c_ard_3-0-0_096076_2018-06-14_final
2018-06-14 09:53:27	ga_ls8c_ard_3-0-0_096077_2018-06-14_final
2018-06-14 09:53:51	ga_ls8c_ard_3-0-0_096078_2018-06-14_final
2018-06-14 09:54:15	ga_ls8c_ard_3-0-0_096079_2018-06-14_final
2018-06-16 09:43:07	ga_ls8c_ard_3-0-0_094082_2018-06-16_final
2018-06-16 09:43:31	ga_ls8c_ard_3-0-0_094083_2018-06-16_final
2018-06-16 09:43:55	ga_ls8c_ard_3-0-0_094084_2018-06-16_final
2018-06-16 09:44:19	ga_ls8c_ard_3-0-0_094085_2018-06-16_final
2018-06-16 09:44:43	ga_ls8c_ard_3-0-0_094086_2018-06-16_final
2018-06-16 09:45:07	ga_ls8c_ard_3-0-0_094087_2018-06-16_final
2018-06-30 09:52:02	ga_ls8c_ard_3-0-0_096073_2018-06-30_final
2018-06-30 09:52:26	ga_ls8c_ard_3-0-0_096074_2018-06-30_final
2018-06-30 09:52:50	ga_ls8c_ard_3-0-0_096075_2018-06-30_final
2018-06-30 09:53:13	ga_ls8c_ard_3-0-0_096076_2018-06-30_final
2018-06-30 09:53:37	ga_ls8c_ard_3-0-0_096077_2018-06-30_final
2018-06-30 09:54:01	ga_ls8c_ard_3-0-0_096078_2018-06-30_final
2018-06-30 09:54:25	ga_ls8c_ard_3-0-0_096079_2018-06-30_final
2018-07-02 09:43:17	ga_ls8c_ard_3-0-0_094082_2018-07-02_final
2018-07-02 09:43:41	ga_ls8c_ard_3-0-0_094083_2018-07-02_final
2018-07-02 09:44:05	ga_ls8c_ard_3-1-0_094084_2018-07-02_final
2018-07-02 09:44:28	ga_ls8c_ard_3-0-0_094085_2018-07-02_final
2018-07-02 09:44:52	ga_ls8c_ard_3-0-0_094086_2018-07-02_final
2018-07-02 09:45:16	ga_ls8c_ard_3-0-0_094087_2018-07-02_final
2018-07-09 09:47:55	ga_ls8c_ard_3-0-0_095078_2018-07-09_final
2018-07-09 09:48:19	ga_ls8c_ard_3-0-0_095079_2018-07-09_final
2018-07-11 09:38:22	ga_ls8c_ard_3-0-0_093085_2018-07-11_final
2018-07-11 09:38:46	ga_ls8c_ard_3-0-0_093086_2018-07-11_final
2018-07-11 09:39:10	ga_ls8c_ard_3-0-0_093087_2018-07-11_final
2018-07-11 09:39:34	ga_ls8c_ard_3-0-0_093088_2018-07-11_final
2018-08-17 09:52:26	ga_ls8c_ard_3-0-0_096073_2018-08-17_final
2018-08-17 09:52:50	ga_ls8c_ard_3-0-0_096074_2018-08-17_final
2018-08-17 09:53:14	ga_ls8c_ard_3-0-0_096075_2018-08-17_final
2018-08-17 09:53:38	ga_ls8c_ard_3-0-0_096076_2018-08-17_final
2018-08-17 09:54:01	ga_ls8c_ard_3-0-0_096077_2018-08-17_final
2018-08-17 09:54:25	ga_ls8c_ard_3-0-0_096078_2018-08-17_final
2018-08-17 09:54:49	ga_ls8c_ard_3-0-0_096079_2018-08-17_final
2018-08-19 09:43:41	ga_ls8c_ard_3-0-0_094082_2018-08-19_final
2018-08-19 09:44:04	ga_ls8c_ard_3-0-0_094083_2018-08-19_final
2018-08-19 09:44:28	ga_ls8c_ard_3-0-0_094084_2018-08-19_final
2018-08-19 09:44:52	ga_ls8c_ard_3-0-0_094085_2018-08-19_final
2018-08-19 09:45:16	ga_ls8c_ard_3-0-0_094086_2018-08-19_final
2018-08-19 09:45:40	ga_ls8c_ard_3-0-0_094087_2018-08-19_final
2019-01-06 10:02:49	ga_ls8c_ard_3-0-0_098067_2019-01-06_final
2019-01-06 10:03:13	ga_ls8c_ard_3-0-0_098068_2019-01-06_final
2019-01-06 10:03:37	ga_ls8c_ard_3-0-0_098069_2019-01-06_final
2020-07-03 10:02:21	ga_ls8c_ard_3-2-1_098066_2020-07-03_final
2020-07-03 10:02:45	ga_ls8c_ard_3-1-0_098067_2020-07-03_final
2020-07-03 10:03:08	ga_ls8c_ard_3-1-0_098068_2020-07-03_final
2020-07-03 10:03:32	ga_ls8c_ard_3-1-0_098069_2020-07-03_final
2020-07-05 09:52:47	ga_ls8c_ard_3-1-0_096073_2020-07-05_final
2020-07-05 09:53:11	ga_ls8c_ard_3-1-0_096074_2020-07-05_final
2020-07-05 09:53:35	ga_ls8c_ard_3-1-0_096075_2020-07-05_final
2020-07-05 09:53:59	ga_ls8c_ard_3-1-0_096076_2020-07-05_final
2020-07-05 09:54:23	ga_ls8c_ard_3-1-0_096077_2020-07-05_final
2020-07-05 09:54:47	ga_ls8c_ard_3-1-0_096078_2020-07-05_final
2020-07-05 09:55:11	ga_ls8c_ard_3-1-0_096079_2020-07-05_final
2020-08-22 09:53:03	ga_ls8c_ard_3-1-0_096073_2020-08-22_final
2020-08-22 09:53:27	ga_ls8c_ard_3-1-0_096074_2020-08-22_final
2020-08-22 09:53:51	ga_ls8c_ard_3-1-0_096075_2020-08-22_final
2020-08-22 09:54:15	ga_ls8c_ard_3-1-0_096076_2020-08-22_final
2020-08-22 09:54:39	ga_ls8c_ard_3-1-0_096077_2020-08-22_final
2020-08-22 09:55:03	ga_ls8c_ard_3-1-0_096078_2020-08-22_final
2020-08-22 09:55:27	ga_ls8c_ard_3-1-0_096079_2020-08-22_final
2020-08-24 09:44:18	ga_ls8c_ard_3-1-0_094082_2020-08-24_final
2020-08-24 09:44:42	ga_ls8c_ard_3-1-0_094083_2020-08-24_final
2020-08-24 09:45:06	ga_ls8c_ard_3-1-0_094084_2020-08-24_final
2020-08-24 09:45:30	ga_ls8c_ard_3-1-0_094085_2020-08-24_final
2020-08-24 09:45:54	ga_ls8c_ard_3-1-0_094086_2020-08-24_final
2020-08-24 09:46:18	ga_ls8c_ard_3-1-0_094087_2020-08-24_final
2023-07-21 09:57:16	ga_ls8c_ard_3-2-1_097069_2023-07-21_final
2023-07-21 09:57:40	ga_ls8c_ard_3-2-1_097070_2023-07-21_final
2023-07-21 09:58:04	ga_ls8c_ard_3-2-1_097071_2023-07-21_final
2023-07-21 09:58:28	ga_ls8c_ard_3-2-1_097072_2023-07-21_final
2023-07-21 09:58:52	ga_ls8c_ard_3-2-1_097073_2023-07-21_final
2023-07-21 09:59:16	ga_ls8c_ard_3-2-1_097074_2023-07-21_final
2023-07-23 09:48:32	ga_ls8c_ard_3-2-1_095078_2023-07-23_final
2023-07-23 09:48:56	ga_ls8c_ard_3-2-1_095079_2023-07-23_final
2023-07-23 09:49:20	ga_ls8c_ard_3-2-1_095080_2023-07-23_final
2023-07-23 09:49:44	ga_ls8c_ard_3-2-1_095081_2023-07-23_final
2023-07-23 09:50:08	ga_ls8c_ard_3-2-1_095082_2023-07-23_final
2023-07-23 09:50:32	ga_ls8c_ard_3-2-1_095083_2023-07-23_final
2023-07-30 09:52:48	ga_ls8c_ard_3-2-1_096073_2023-07-30_final
2023-07-30 09:53:12	ga_ls8c_ard_3-2-1_096074_2023-07-30_final
2023-07-30 09:53:36	ga_ls8c_ard_3-2-1_096075_2023-07-30_final
2023-07-30 09:54:00	ga_ls8c_ard_3-2-1_096076_2023-07-30_final
2023-07-30 09:54:24	ga_ls8c_ard_3-2-1_096077_2023-07-30_final
2023-07-30 09:54:48	ga_ls8c_ard_3-2-1_096078_2023-07-30_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