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
2017-09-28 10:58:47	ga_ls8c_ard_3-0-0_107067_2017-09-28_final
2017-09-28 10:59:11	ga_ls8c_ard_3-0-0_107068_2017-09-28_final
2017-09-28 10:59:35	ga_ls8c_ard_3-0-0_107069_2017-09-28_final
2017-09-28 10:59:59	ga_ls8c_ard_3-0-0_107070_2017-09-28_final
2017-09-28 11:00:23	ga_ls8c_ard_3-0-0_107071_2017-09-28_final
2017-11-15 10:58:49	ga_ls8c_ard_3-0-0_107067_2017-11-15_final
2017-11-15 10:59:13	ga_ls8c_ard_3-0-0_107068_2017-11-15_final
2017-11-15 10:59:37	ga_ls8c_ard_3-0-0_107069_2017-11-15_final
2017-11-15 11:00:01	ga_ls8c_ard_3-0-0_107070_2017-11-15_final
2017-11-15 11:00:25	ga_ls8c_ard_3-0-0_107071_2017-11-15_final
2017-11-24 10:53:47	ga_ls8c_ard_3-0-0_106070_2017-11-24_final
2017-11-24 10:54:11	ga_ls8c_ard_3-0-0_106071_2017-11-24_final
2017-11-24 10:54:35	ga_ls8c_ard_3-0-0_106072_2017-11-24_final
2017-11-24 10:54:58	ga_ls8c_ard_3-0-0_106073_2017-11-24_final
2017-11-24 10:55:22	ga_ls8c_ard_3-0-0_106074_2017-11-24_final
2017-11-24 10:55:46	ga_ls8c_ard_3-0-0_106075_2017-11-24_final
2017-11-24 10:56:10	ga_ls8c_ard_3-0-0_106076_2017-11-24_final
2017-12-03 10:49:33	ga_ls8c_ard_3-0-0_105075_2017-12-03_final
2017-12-03 10:49:57	ga_ls8c_ard_3-0-0_105076_2017-12-03_final
2017-12-03 10:50:21	ga_ls8c_ard_3-0-0_105077_2017-12-03_final
2017-12-03 10:50:45	ga_ls8c_ard_3-0-0_105078_2017-12-03_final
2017-12-03 10:51:09	ga_ls8c_ard_3-0-0_105079_2017-12-03_final
2017-12-03 10:51:33	ga_ls8c_ard_3-0-0_105080_2017-12-03_final
2017-12-03 10:51:57	ga_ls8c_ard_3-0-0_105081_2017-12-03_final
2017-12-17 10:58:45	ga_ls8c_ard_3-0-0_107067_2017-12-17_final
2017-12-17 10:59:09	ga_ls8c_ard_3-0-0_107068_2017-12-17_final
2017-12-17 10:59:33	ga_ls8c_ard_3-0-0_107069_2017-12-17_final
2017-12-17 10:59:57	ga_ls8c_ard_3-0-0_107070_2017-12-17_final
2017-12-17 11:00:21	ga_ls8c_ard_3-0-0_107071_2017-12-17_final
2017-12-19 10:49:36	ga_ls8c_ard_3-0-0_105075_2017-12-19_final
2017-12-19 10:50:00	ga_ls8c_ard_3-0-0_105076_2017-12-19_final
2017-12-19 10:50:23	ga_ls8c_ard_3-0-0_105077_2017-12-19_final
2017-12-19 10:50:47	ga_ls8c_ard_3-0-0_105078_2017-12-19_final
2017-12-19 10:51:11	ga_ls8c_ard_3-0-0_105079_2017-12-19_final
2017-12-19 10:51:35	ga_ls8c_ard_3-0-0_105080_2017-12-19_final
2017-12-26 10:53:46	ga_ls8c_ard_3-0-0_106070_2017-12-26_final
2017-12-26 10:54:10	ga_ls8c_ard_3-0-0_106071_2017-12-26_final
2017-12-26 10:54:34	ga_ls8c_ard_3-0-0_106072_2017-12-26_final
2017-12-26 10:54:58	ga_ls8c_ard_3-0-0_106073_2017-12-26_final
2017-12-26 10:55:22	ga_ls8c_ard_3-0-0_106074_2017-12-26_final
2017-12-26 10:55:46	ga_ls8c_ard_3-0-0_106075_2017-12-26_final
2017-12-26 10:56:10	ga_ls8c_ard_3-0-0_106076_2017-12-26_final
2018-02-03 10:58:26	ga_ls8c_ard_3-0-0_107067_2018-02-03_final
2018-02-03 10:58:50	ga_ls8c_ard_3-0-0_107068_2018-02-03_final
2018-02-03 10:59:14	ga_ls8c_ard_3-0-0_107069_2018-02-03_final
2018-02-03 10:59:38	ga_ls8c_ard_3-0-0_107070_2018-02-03_final
2018-02-03 11:00:02	ga_ls8c_ard_3-0-0_107071_2018-02-03_final
2019-12-16 10:54:17	ga_ls8c_ard_3-2-0_106071_2019-12-16_final
2019-12-16 10:54:41	ga_ls8c_ard_3-2-0_106072_2019-12-16_final
2019-12-16 10:55:05	ga_ls8c_ard_3-2-0_106073_2019-12-16_final
2019-12-16 10:55:29	ga_ls8c_ard_3-2-0_106074_2019-12-16_final
2019-12-16 10:55:52	ga_ls8c_ard_3-2-0_106075_2019-12-16_final
2019-12-16 10:56:16	ga_ls8c_ard_3-2-0_106076_2019-12-16_final
2020-01-01 10:54:12	ga_ls8c_ard_3-1-0_106071_2020-01-01_final
2020-01-01 10:54:36	ga_ls8c_ard_3-1-0_106072_2020-01-01_final
2020-01-01 10:55:00	ga_ls8c_ard_3-1-0_106073_2020-01-01_final
2020-01-01 10:55:24	ga_ls8c_ard_3-1-0_106074_2020-01-01_final
2020-01-01 10:55:48	ga_ls8c_ard_3-1-0_106075_2020-01-01_final
2020-01-01 10:56:12	ga_ls8c_ard_3-1-0_106076_2020-01-01_final
2020-01-10 10:49:36	ga_ls8c_ard_3-1-0_105075_2020-01-10_final
2020-01-10 10:50:00	ga_ls8c_ard_3-1-0_105076_2020-01-10_final
2020-01-10 10:50:24	ga_ls8c_ard_3-1-0_105077_2020-01-10_final
2020-01-10 10:50:48	ga_ls8c_ard_3-1-0_105078_2020-01-10_final
2020-01-10 10:51:11	ga_ls8c_ard_3-1-0_105079_2020-01-10_final
2020-01-10 10:51:35	ga_ls8c_ard_3-1-0_105080_2020-01-10_final
2020-01-10 10:51:59	ga_ls8c_ard_3-1-0_105081_2020-01-10_final
2020-01-19 10:44:59	ga_ls8c_ard_3-1-0_104079_2020-01-19_final
2020-01-19 10:45:23	ga_ls8c_ard_3-1-0_104080_2020-01-19_final
2020-01-19 10:45:46	ga_ls8c_ard_3-1-0_104081_2020-01-19_final
2020-01-19 10:46:10	ga_ls8c_ard_3-1-0_104082_2020-01-19_final
2020-01-19 10:46:34	ga_ls8c_ard_3-1-0_104083_2020-01-19_final
2020-01-26 10:49:32	ga_ls8c_ard_3-1-0_105075_2020-01-26_final
2020-01-26 10:49:55	ga_ls8c_ard_3-1-0_105076_2020-01-26_final
2020-01-26 10:50:19	ga_ls8c_ard_3-1-0_105077_2020-01-26_final
2020-01-26 10:50:43	ga_ls8c_ard_3-1-0_105078_2020-01-26_final
2020-01-26 10:51:07	ga_ls8c_ard_3-1-0_105079_2020-01-26_final
2020-01-26 10:51:31	ga_ls8c_ard_3-1-0_105080_2020-01-26_final
2020-01-26 10:51:55	ga_ls8c_ard_3-1-0_105081_2020-01-26_final
2020-03-23 10:44:36	ga_ls8c_ard_3-1-0_104079_2020-03-23_final
2020-03-23 10:45:00	ga_ls8c_ard_3-1-0_104080_2020-03-23_final
2020-03-23 10:45:24	ga_ls8c_ard_3-1-0_104081_2020-03-23_final
2020-03-23 10:45:48	ga_ls8c_ard_3-1-0_104082_2020-03-23_final
2020-03-23 10:46:12	ga_ls8c_ard_3-1-0_104083_2020-03-23_final
2020-04-17 10:39:49	ga_ls8c_ard_3-1-0_103083_2020-04-17_final
2023-05-01 10:53:04	ga_ls8c_ard_3-2-1_106070_2023-05-01_final
2023-05-01 10:53:28	ga_ls8c_ard_3-2-1_106071_2023-05-01_final
2023-05-01 10:53:52	ga_ls8c_ard_3-2-1_106072_2023-05-01_final
2023-05-01 10:54:16	ga_ls8c_ard_3-2-1_106073_2023-05-01_final
2023-05-01 10:54:39	ga_ls8c_ard_3-2-1_106074_2023-05-01_final
2023-05-01 10:55:03	ga_ls8c_ard_3-2-1_106075_2023-05-01_final
2023-05-01 10:55:27	ga_ls8c_ard_3-2-1_106076_2023-05-01_final
2023-05-10 10:48:44	ga_ls8c_ard_3-2-1_105075_2023-05-10_final
2023-05-10 10:49:08	ga_ls8c_ard_3-2-1_105076_2023-05-10_final
2023-05-10 10:49:32	ga_ls8c_ard_3-2-1_105077_2023-05-10_final
2023-05-10 10:49:56	ga_ls8c_ard_3-2-1_105078_2023-05-10_final
2023-05-10 10:50:20	ga_ls8c_ard_3-2-1_105079_2023-05-10_final
2023-05-10 10:50:44	ga_ls8c_ard_3-2-1_105080_2023-05-10_final
2023-05-10 10:51:08	ga_ls8c_ard_3-2-1_105081_2023-05-10_final
2024-04-24 10:59:13	ga_ls8c_ard_3-2-1_107070_2024-04-24_final
2024-04-24 10:59:37	ga_ls8c_ard_3-2-1_107071_2024-04-24_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