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
2015-01-01 09:34:40	ga_ls8c_ard_3-0-0_092089_2015-01-01_final
2015-01-04 09:57:12	ga_ls8c_ard_3-0-0_097068_2015-01-04_final
2015-01-04 09:57:36	ga_ls8c_ard_3-0-0_097069_2015-01-04_final
2015-01-04 09:58:00	ga_ls8c_ard_3-0-0_097070_2015-01-04_final
2015-01-04 09:58:24	ga_ls8c_ard_3-0-0_097071_2015-01-04_final
2015-01-04 09:58:48	ga_ls8c_ard_3-0-0_097072_2015-01-04_final
2015-01-04 09:59:12	ga_ls8c_ard_3-0-0_097073_2015-01-04_final
2015-01-04 09:59:36	ga_ls8c_ard_3-0-0_097074_2015-01-04_final
2015-02-21 09:56:59	ga_ls8c_ard_3-0-0_097068_2015-02-21_final
2015-02-21 09:57:23	ga_ls8c_ard_3-0-0_097069_2015-02-21_final
2015-02-21 09:57:47	ga_ls8c_ard_3-0-0_097070_2015-02-21_final
2015-02-21 09:58:11	ga_ls8c_ard_3-0-0_097071_2015-02-21_final
2015-02-21 09:58:34	ga_ls8c_ard_3-0-0_097072_2015-02-21_final
2015-02-21 09:58:58	ga_ls8c_ard_3-0-0_097073_2015-02-21_final
2015-02-21 09:59:22	ga_ls8c_ard_3-0-0_097074_2015-02-21_final
2015-08-25 09:52:46	ga_ls8c_ard_3-0-0_096073_2015-08-25_final
2015-08-25 09:53:10	ga_ls8c_ard_3-0-0_096074_2015-08-25_final
2015-08-25 09:53:34	ga_ls8c_ard_3-0-0_096075_2015-08-25_final
2015-08-25 09:53:58	ga_ls8c_ard_3-0-0_096076_2015-08-25_final
2015-08-25 09:54:22	ga_ls8c_ard_3-0-0_096077_2015-08-25_final
2015-08-25 09:54:45	ga_ls8c_ard_3-0-0_096078_2015-08-25_final
2015-08-25 09:55:09	ga_ls8c_ard_3-0-0_096079_2015-08-25_final
2015-12-13 10:02:40	ga_ls8c_ard_3-2-1_098066_2015-12-13_final
2015-12-13 10:03:04	ga_ls8c_ard_3-0-0_098067_2015-12-13_final
2015-12-13 10:03:28	ga_ls8c_ard_3-0-0_098068_2015-12-13_final
2015-12-13 10:03:52	ga_ls8c_ard_3-0-0_098069_2015-12-13_final
2015-12-15 09:53:07	ga_ls8c_ard_3-0-0_096073_2015-12-15_final
2015-12-15 09:53:31	ga_ls8c_ard_3-0-0_096074_2015-12-15_final
2015-12-15 09:53:55	ga_ls8c_ard_3-0-0_096075_2015-12-15_final
2015-12-15 09:54:18	ga_ls8c_ard_3-0-0_096076_2015-12-15_final
2015-12-15 09:54:42	ga_ls8c_ard_3-0-0_096077_2015-12-15_final
2015-12-15 09:55:06	ga_ls8c_ard_3-0-0_096078_2015-12-15_final
2015-12-15 09:55:30	ga_ls8c_ard_3-0-0_096079_2015-12-15_final
2017-03-27 09:34:15	ga_ls8c_ard_3-0-0_092089_2017-03-27_final
2017-03-27 09:34:39	ga_ls8c_ard_3-0-0_092090_2017-03-27_final
2017-03-30 09:56:45	ga_ls8c_ard_3-0-0_097068_2017-03-30_final
2017-03-30 09:57:09	ga_ls8c_ard_3-0-0_097069_2017-03-30_final
2017-03-30 09:57:33	ga_ls8c_ard_3-0-0_097070_2017-03-30_final
2017-03-30 09:57:57	ga_ls8c_ard_3-0-0_097071_2017-03-30_final
2017-03-30 09:58:21	ga_ls8c_ard_3-0-0_097072_2017-03-30_final
2017-03-30 09:58:45	ga_ls8c_ard_3-0-0_097073_2017-03-30_final
2017-03-30 09:59:09	ga_ls8c_ard_3-0-0_097074_2017-03-30_final
2017-05-14 09:34:04	ga_ls8c_ard_3-0-0_092089_2017-05-14_final
2017-05-14 09:34:28	ga_ls8c_ard_3-0-0_092090_2017-05-14_final
2017-05-26 09:52:32	ga_ls8c_ard_3-0-0_096073_2017-05-26_final
2017-05-26 09:52:56	ga_ls8c_ard_3-0-0_096074_2017-05-26_final
2017-05-26 09:53:20	ga_ls8c_ard_3-0-0_096075_2017-05-26_final
2017-05-26 09:53:44	ga_ls8c_ard_3-0-0_096076_2017-05-26_final
2017-05-26 09:54:08	ga_ls8c_ard_3-0-0_096077_2017-05-26_final
2017-05-26 09:54:32	ga_ls8c_ard_3-0-0_096078_2017-05-26_final
2017-05-26 09:54:56	ga_ls8c_ard_3-0-0_096079_2017-05-26_final
2017-05-28 09:43:47	ga_ls8c_ard_3-0-0_094082_2017-05-28_final
2017-05-28 09:44:11	ga_ls8c_ard_3-0-0_094083_2017-05-28_final
2017-05-28 09:44:35	ga_ls8c_ard_3-0-0_094084_2017-05-28_final
2017-05-28 09:44:59	ga_ls8c_ard_3-0-0_094085_2017-05-28_final
2017-05-28 09:45:23	ga_ls8c_ard_3-0-0_094086_2017-05-28_final
2017-05-28 09:45:47	ga_ls8c_ard_3-0-0_094087_2017-05-28_final
2017-05-30 09:34:14	ga_ls8c_ard_3-0-0_092089_2017-05-30_final
2017-05-30 09:34:38	ga_ls8c_ard_3-0-0_092090_2017-05-30_final
2017-06-02 09:56:47	ga_ls8c_ard_3-0-0_097068_2017-06-02_final
2017-06-02 09:57:11	ga_ls8c_ard_3-0-0_097069_2017-06-02_final
2017-06-02 09:57:35	ga_ls8c_ard_3-0-0_097070_2017-06-02_final
2017-06-02 09:57:59	ga_ls8c_ard_3-0-0_097071_2017-06-02_final
2017-06-02 09:58:22	ga_ls8c_ard_3-0-0_097072_2017-06-02_final
2017-06-02 09:58:46	ga_ls8c_ard_3-0-0_097073_2017-06-02_final
2017-06-02 09:59:10	ga_ls8c_ard_3-0-0_097074_2017-06-02_final
2017-06-09 10:02:37	ga_ls8c_ard_3-0-0_098067_2017-06-09_final
2017-06-09 10:03:01	ga_ls8c_ard_3-0-0_098068_2017-06-09_final
2017-06-09 10:03:25	ga_ls8c_ard_3-0-0_098069_2017-06-09_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
2024-01-31 09:48:51	ga_ls8c_ard_3-2-1_095078_2024-01-31_final
2024-01-31 09:49:15	ga_ls8c_ard_3-2-1_095079_2024-01-31_final
2024-01-31 09:49:39	ga_ls8c_ard_3-2-1_095080_2024-01-31_final
2024-01-31 09:50:03	ga_ls8c_ard_3-2-1_095081_2024-01-31_final
2024-01-31 09:50:27	ga_ls8c_ard_3-2-1_095082_2024-01-31_final
2024-01-31 09:50:51	ga_ls8c_ard_3-2-1_095083_2024-01-31_final
2024-03-05 09:39:08	ga_ls8c_ard_3-2-1_093085_2024-03-05_final
2024-03-05 09:39:32	ga_ls8c_ard_3-2-1_093086_2024-03-05_final
2024-03-05 09:39:56	ga_ls8c_ard_3-2-1_093087_2024-03-05_final
2024-03-05 09:40:20	ga_ls8c_ard_3-2-1_093088_2024-03-05_final
2024-04-25 10:02:00	ga_ls8c_ard_3-2-1_098066_2024-04-25_final
2024-04-25 10:02:24	ga_ls8c_ard_3-2-1_098067_2024-04-25_final
2024-04-25 10:02:48	ga_ls8c_ard_3-2-1_098068_2024-04-25_final
2024-04-25 10:03:12	ga_ls8c_ard_3-2-1_098069_2024-04-25_final
2024-04-29 09:43:36	ga_ls8c_ard_3-2-1_094082_2024-04-29_final
2024-04-29 09:44:00	ga_ls8c_ard_3-2-1_094083_2024-04-29_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 09:45:36	ga_ls8c_ard_3-2-1_094087_2024-04-29_final
2024-05-01 09:34:00	ga_ls8c_ard_3-2-1_092089_2024-05-01_final
2024-05-01 09:34:23	ga_ls8c_ard_3-2-1_092090_2024-05-01_final
2024-05-06 09:48:06	ga_ls8c_ard_3-2-1_095078_2024-05-06_final
2024-05-06 09:48:30	ga_ls8c_ard_3-2-1_095079_2024-05-06_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
2024-05-17 09:33:46	ga_ls8c_ard_3-2-1_092089_2024-05-17_nrt

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