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
2018-09-16 11:46:39	ga_ls8c_ard_3-0-0_114080_2018-09-16_final
2018-09-16 11:47:03	ga_ls8c_ard_3-0-0_114081_2018-09-16_final
2018-11-19 11:46:57	ga_ls8c_ard_3-0-0_114080_2018-11-19_final
2018-11-19 11:47:21	ga_ls8c_ard_3-0-0_114081_2018-11-19_final
2019-07-17 11:46:58	ga_ls8c_ard_3-1-0_114080_2019-07-17_final
2019-07-17 11:47:22	ga_ls8c_ard_3-1-0_114081_2019-07-17_final
2019-09-03 11:47:14	ga_ls8c_ard_3-1-0_114080_2019-09-03_final
2019-09-03 11:47:37	ga_ls8c_ard_3-1-0_114081_2019-09-03_final
2019-10-21 11:47:25	ga_ls8c_ard_3-1-0_114080_2019-10-21_final
2019-10-21 11:47:49	ga_ls8c_ard_3-1-0_114081_2019-10-21_final
2019-12-06 11:57:18	ga_ls8c_ard_3-1-0_116074_2019-12-06_final
2019-12-06 11:57:42	ga_ls8c_ard_3-1-0_116075_2019-12-06_final
2019-12-06 11:58:06	ga_ls8c_ard_3-1-0_116076_2019-12-06_final
2019-12-06 11:58:30	ga_ls8c_ard_3-1-0_116077_2019-12-06_final
2020-01-23 11:57:08	ga_ls8c_ard_3-1-0_116074_2020-01-23_final
2020-01-23 11:57:32	ga_ls8c_ard_3-1-0_116075_2020-01-23_final
2020-02-08 11:57:02	ga_ls8c_ard_3-1-0_116074_2020-02-08_final
2020-02-08 11:57:26	ga_ls8c_ard_3-1-0_116075_2020-02-08_final
2020-02-08 11:57:50	ga_ls8c_ard_3-1-0_116076_2020-02-08_final
2020-02-08 11:58:14	ga_ls8c_ard_3-1-0_116077_2020-02-08_final
2020-04-14 11:46:38	ga_ls8c_ard_3-1-0_114080_2020-04-14_final
2020-04-14 11:47:02	ga_ls8c_ard_3-1-0_114081_2020-04-14_final
2020-05-07 11:50:37	ga_ls8c_ard_3-1-0_115075_2020-05-07_final
2020-05-07 11:51:00	ga_ls8c_ard_3-1-0_115076_2020-05-07_final
2020-05-07 11:51:24	ga_ls8c_ard_3-1-0_115077_2020-05-07_final
2020-05-07 11:51:48	ga_ls8c_ard_3-1-0_115078_2020-05-07_final
2020-05-07 11:52:12	ga_ls8c_ard_3-1-0_115079_2020-05-07_final
2020-05-07 11:52:36	ga_ls8c_ard_3-1-0_115080_2020-05-07_final
2020-05-09 11:41:26	ga_ls8c_ard_3-1-0_113083_2020-05-09_final
2020-05-09 11:41:50	ga_ls8c_ard_3-1-0_113084_2020-05-09_final
2020-05-23 11:50:39	ga_ls8c_ard_3-1-0_115075_2020-05-23_final
2020-05-23 11:51:03	ga_ls8c_ard_3-1-0_115076_2020-05-23_final
2020-05-23 11:51:27	ga_ls8c_ard_3-1-0_115077_2020-05-23_final
2020-05-23 11:51:51	ga_ls8c_ard_3-1-0_115078_2020-05-23_final
2020-05-23 11:52:15	ga_ls8c_ard_3-1-0_115079_2020-05-23_final
2020-05-23 11:52:39	ga_ls8c_ard_3-1-0_115080_2020-05-23_final
2020-05-25 11:41:53	ga_ls8c_ard_3-1-0_113084_2020-05-25_final
2020-06-10 11:42:02	ga_ls8c_ard_3-1-0_113084_2020-06-10_final
2023-01-08 11:51:36	ga_ls8c_ard_3-2-1_115075_2023-01-08_final
2023-01-08 11:52:00	ga_ls8c_ard_3-2-1_115076_2023-01-08_final
2023-01-08 11:52:24	ga_ls8c_ard_3-2-1_115077_2023-01-08_final
2023-01-08 11:52:48	ga_ls8c_ard_3-2-1_115078_2023-01-08_final
2023-01-08 11:53:12	ga_ls8c_ard_3-2-1_115079_2023-01-08_final
2023-01-08 11:53:36	ga_ls8c_ard_3-2-1_115080_2023-01-08_final
2023-01-10 11:42:49	ga_ls8c_ard_3-2-1_113084_2023-01-10_final
2023-01-15 11:57:42	ga_ls8c_ard_3-2-1_116075_2023-01-15_final
2023-01-15 11:58:06	ga_ls8c_ard_3-2-1_116076_2023-01-15_final
2023-01-15 11:58:30	ga_ls8c_ard_3-2-1_116077_2023-01-15_final
2023-01-17 11:47:18	ga_ls8c_ard_3-2-1_114080_2023-01-17_final
2023-01-17 11:47:42	ga_ls8c_ard_3-2-1_114081_2023-01-17_final
2023-01-24 11:51:34	ga_ls8c_ard_3-2-1_115075_2023-01-24_final
2023-01-24 11:51:58	ga_ls8c_ard_3-2-1_115076_2023-01-24_final
2023-01-24 11:52:22	ga_ls8c_ard_3-2-1_115077_2023-01-24_final
2023-01-24 11:52:45	ga_ls8c_ard_3-2-1_115078_2023-01-24_final
2023-01-24 11:53:09	ga_ls8c_ard_3-2-1_115079_2023-01-24_final
2023-01-24 11:53:33	ga_ls8c_ard_3-2-1_115080_2023-01-24_final
2023-01-31 11:57:46	ga_ls8c_ard_3-2-1_116075_2023-01-31_final
2023-01-31 11:58:10	ga_ls8c_ard_3-2-1_116076_2023-01-31_final
2023-02-02 11:47:24	ga_ls8c_ard_3-2-1_114080_2023-02-02_final
2023-02-02 11:47:48	ga_ls8c_ard_3-2-1_114081_2023-02-02_final
2023-03-04 11:57:49	ga_ls8c_ard_3-2-1_116076_2023-03-04_final
2023-03-06 11:47:02	ga_ls8c_ard_3-2-1_114080_2023-03-06_final
2023-03-06 11:47:26	ga_ls8c_ard_3-2-1_114081_2023-03-06_final
2023-03-13 11:51:11	ga_ls8c_ard_3-2-1_115075_2023-03-13_final
2023-03-13 11:51:35	ga_ls8c_ard_3-2-1_115076_2023-03-13_final
2023-03-13 11:51:59	ga_ls8c_ard_3-2-1_115077_2023-03-13_final
2023-03-13 11:52:23	ga_ls8c_ard_3-2-1_115078_2023-03-13_final
2023-03-13 11:52:47	ga_ls8c_ard_3-2-1_115079_2023-03-13_final
2023-03-13 11:53:10	ga_ls8c_ard_3-2-1_115080_2023-03-13_final
2023-03-15 11:42:24	ga_ls8c_ard_3-2-1_113084_2023-03-15_final
2023-03-20 11:57:41	ga_ls8c_ard_3-2-1_116076_2023-03-20_final
2023-03-22 11:46:53	ga_ls8c_ard_3-2-1_114080_2023-03-22_final
2023-03-22 11:47:17	ga_ls8c_ard_3-2-1_114081_2023-03-22_final
2023-03-29 11:51:01	ga_ls8c_ard_3-2-1_115075_2023-03-29_final
2023-03-29 11:51:25	ga_ls8c_ard_3-2-1_115076_2023-03-29_final
2023-03-29 11:51:49	ga_ls8c_ard_3-2-1_115077_2023-03-29_final
2023-03-29 11:52:13	ga_ls8c_ard_3-2-1_115078_2023-03-29_final
2023-03-29 11:52:37	ga_ls8c_ard_3-2-1_115079_2023-03-29_final
2023-03-29 11:53:01	ga_ls8c_ard_3-2-1_115080_2023-03-29_final
2023-03-31 11:42:13	ga_ls8c_ard_3-2-1_113084_2023-03-31_final
2023-04-05 11:57:05	ga_ls8c_ard_3-2-1_116075_2023-04-05_final
2023-04-05 11:57:29	ga_ls8c_ard_3-2-1_116076_2023-04-05_final
2023-04-05 11:57:53	ga_ls8c_ard_3-2-1_116077_2023-04-05_final
2023-04-07 11:46:41	ga_ls8c_ard_3-2-1_114080_2023-04-07_final
2023-04-07 11:47:05	ga_ls8c_ard_3-2-1_114081_2023-04-07_final
2023-04-14 11:51:10	ga_ls8c_ard_3-2-1_115076_2023-04-14_final
2023-04-14 11:51:34	ga_ls8c_ard_3-2-1_115077_2023-04-14_final
2023-04-14 11:51:57	ga_ls8c_ard_3-2-1_115078_2023-04-14_final
2023-04-14 11:52:21	ga_ls8c_ard_3-2-1_115079_2023-04-14_final
2023-04-14 11:52:45	ga_ls8c_ard_3-2-1_115080_2023-04-14_final
2023-05-18 11:41:18	ga_ls8c_ard_3-2-1_113083_2023-05-18_final
2023-05-23 11:56:41	ga_ls8c_ard_3-2-1_116075_2023-05-23_final
2023-05-23 11:57:05	ga_ls8c_ard_3-2-1_116076_2023-05-23_final
2023-05-25 11:46:20	ga_ls8c_ard_3-2-1_114080_2023-05-25_final
2023-05-25 11:46:44	ga_ls8c_ard_3-2-1_114081_2023-05-25_final
2023-06-01 11:50:31	ga_ls8c_ard_3-2-1_115075_2023-06-01_final
2023-06-01 11:50:55	ga_ls8c_ard_3-2-1_115076_2023-06-01_final
2023-06-01 11:51:19	ga_ls8c_ard_3-2-1_115077_2023-06-01_final
2023-06-01 11:51:43	ga_ls8c_ard_3-2-1_115078_2023-06-01_final
2023-06-01 11:52:07	ga_ls8c_ard_3-2-1_115079_2023-06-01_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