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
2014-08-10 09:31:54	ga_ls8c_ard_3-0-0_092082_2014-08-10_final
2014-08-10 09:32:18	ga_ls8c_ard_3-0-0_092083_2014-08-10_final
2014-08-10 09:32:42	ga_ls8c_ard_3-0-0_092084_2014-08-10_final
2014-08-10 09:33:05	ga_ls8c_ard_3-0-0_092085_2014-08-10_final
2014-08-10 09:33:29	ga_ls8c_ard_3-0-0_092086_2014-08-10_final
2014-08-10 09:33:53	ga_ls8c_ard_3-0-0_092087_2014-08-10_final
2014-08-12 09:22:20	ga_ls8c_ard_3-0-0_090089_2014-08-11_final
2014-08-12 09:22:44	ga_ls8c_ard_3-0-0_090090_2014-08-11_final
2014-10-04 09:36:37	ga_ls8c_ard_3-0-0_093078_2014-10-04_final
2014-10-04 09:37:01	ga_ls8c_ard_3-0-0_093079_2014-10-04_final
2014-10-04 09:37:25	ga_ls8c_ard_3-0-0_093080_2014-10-04_final
2014-10-04 09:37:49	ga_ls8c_ard_3-0-0_093081_2014-10-04_final
2014-10-04 09:38:13	ga_ls8c_ard_3-0-0_093082_2014-10-04_final
2014-10-04 09:38:37	ga_ls8c_ard_3-0-0_093083_2014-10-04_final
2014-10-06 09:27:04	ga_ls8c_ard_3-0-0_091085_2014-10-05_final
2014-10-06 09:27:28	ga_ls8c_ard_3-0-0_091086_2014-10-05_final
2014-10-06 09:27:52	ga_ls8c_ard_3-0-0_091087_2014-10-05_final
2014-10-06 09:28:16	ga_ls8c_ard_3-0-0_091088_2014-10-05_final
2014-10-06 09:28:40	ga_ls8c_ard_3-0-0_091089_2014-10-05_final
2014-10-06 09:29:04	ga_ls8c_ard_3-0-0_091090_2014-10-05_final
2014-10-11 09:40:50	ga_ls8c_ard_3-0-0_094073_2014-10-11_final
2014-10-11 09:41:14	ga_ls8c_ard_3-0-0_094074_2014-10-11_final
2014-10-11 09:41:38	ga_ls8c_ard_3-0-0_094075_2014-10-11_final
2014-10-11 09:42:01	ga_ls8c_ard_3-0-0_094076_2014-10-11_final
2014-10-11 09:42:25	ga_ls8c_ard_3-0-0_094077_2014-10-11_final
2014-10-11 09:42:49	ga_ls8c_ard_3-0-0_094078_2014-10-11_final
2014-10-11 09:43:13	ga_ls8c_ard_3-0-0_094079_2014-10-11_final
2014-11-05 09:36:39	ga_ls8c_ard_3-0-0_093078_2014-11-05_final
2014-11-05 09:37:03	ga_ls8c_ard_3-0-0_093079_2014-11-05_final
2014-11-05 09:37:27	ga_ls8c_ard_3-0-0_093080_2014-11-05_final
2014-11-05 09:37:51	ga_ls8c_ard_3-0-0_093081_2014-11-05_final
2014-11-05 09:38:15	ga_ls8c_ard_3-0-0_093082_2014-11-05_final
2014-11-05 09:38:39	ga_ls8c_ard_3-0-0_093083_2014-11-05_final
2014-11-07 09:27:06	ga_ls8c_ard_3-0-0_091085_2014-11-06_final
2014-11-07 09:27:30	ga_ls8c_ard_3-0-0_091086_2014-11-06_final
2014-11-07 09:27:54	ga_ls8c_ard_3-0-0_091087_2014-11-06_final
2014-11-07 09:28:18	ga_ls8c_ard_3-0-0_091088_2014-11-06_final
2014-11-07 09:28:42	ga_ls8c_ard_3-0-0_091089_2014-11-06_final
2014-11-07 09:29:06	ga_ls8c_ard_3-0-0_091090_2014-11-06_final
2014-11-21 09:36:35	ga_ls8c_ard_3-0-0_093078_2014-11-21_final
2014-11-21 09:36:59	ga_ls8c_ard_3-0-0_093079_2014-11-21_final
2014-11-21 09:37:23	ga_ls8c_ard_3-0-0_093080_2014-11-21_final
2014-11-21 09:37:47	ga_ls8c_ard_3-0-0_093081_2014-11-21_final
2014-11-21 09:38:11	ga_ls8c_ard_3-0-0_093082_2014-11-21_final
2014-11-21 09:38:35	ga_ls8c_ard_3-0-0_093083_2014-11-21_final
2014-11-23 09:27:02	ga_ls8c_ard_3-0-0_091085_2014-11-22_final
2014-11-23 09:27:26	ga_ls8c_ard_3-0-0_091086_2014-11-22_final
2014-11-23 09:27:50	ga_ls8c_ard_3-0-0_091087_2014-11-22_final
2014-11-23 09:28:14	ga_ls8c_ard_3-0-0_091088_2014-11-22_final
2014-11-23 09:28:38	ga_ls8c_ard_3-0-0_091089_2014-11-22_final
2014-11-23 09:29:02	ga_ls8c_ard_3-0-0_091090_2014-11-22_final
2014-12-14 09:40:43	ga_ls8c_ard_3-0-0_094073_2014-12-14_final
2014-12-14 09:41:07	ga_ls8c_ard_3-0-0_094074_2014-12-14_final
2014-12-14 09:41:31	ga_ls8c_ard_3-0-0_094075_2014-12-14_final
2014-12-14 09:41:55	ga_ls8c_ard_3-0-0_094076_2014-12-14_final
2014-12-14 09:42:19	ga_ls8c_ard_3-0-0_094077_2014-12-14_final
2014-12-14 09:42:43	ga_ls8c_ard_3-0-0_094078_2014-12-14_final
2014-12-14 09:43:07	ga_ls8c_ard_3-0-0_094079_2014-12-14_final
2014-12-16 09:31:58	ga_ls8c_ard_3-0-0_092082_2014-12-16_final
2014-12-16 09:32:22	ga_ls8c_ard_3-0-0_092083_2014-12-16_final
2014-12-16 09:32:46	ga_ls8c_ard_3-0-0_092084_2014-12-16_final
2014-12-16 09:33:10	ga_ls8c_ard_3-0-0_092085_2014-12-16_final
2014-12-16 09:33:34	ga_ls8c_ard_3-0-0_092086_2014-12-16_final
2014-12-16 09:33:58	ga_ls8c_ard_3-0-0_092087_2014-12-16_final
2014-12-18 09:22:25	ga_ls8c_ard_3-0-0_090089_2014-12-17_final
2014-12-18 09:22:48	ga_ls8c_ard_3-0-0_090090_2014-12-17_final
2015-01-01 09:31:52	ga_ls8c_ard_3-0-0_092082_2015-01-01_final
2015-01-01 09:32:16	ga_ls8c_ard_3-0-0_092083_2015-01-01_final
2015-01-01 09:32:40	ga_ls8c_ard_3-0-0_092084_2015-01-01_final
2015-01-01 09:33:04	ga_ls8c_ard_3-0-0_092085_2015-01-01_final
2015-01-01 09:33:28	ga_ls8c_ard_3-0-0_092086_2015-01-01_final
2015-01-01 09:33:52	ga_ls8c_ard_3-0-0_092087_2015-01-01_final
2015-01-03 09:22:19	ga_ls8c_ard_3-0-0_090089_2015-01-02_final
2015-01-03 09:22:43	ga_ls8c_ard_3-0-0_090090_2015-01-02_final
2023-03-19 09:36:21	ga_ls8c_ard_3-2-1_093078_2023-03-19_final
2023-03-19 09:36:45	ga_ls8c_ard_3-2-1_093079_2023-03-19_final
2023-03-19 09:37:09	ga_ls8c_ard_3-2-1_093080_2023-03-19_final
2023-03-19 09:37:33	ga_ls8c_ard_3-2-1_093081_2023-03-19_final
2023-03-19 09:37:57	ga_ls8c_ard_3-2-1_093082_2023-03-19_final
2023-03-19 09:38:21	ga_ls8c_ard_3-2-1_093083_2023-03-19_final
2023-05-13 09:39:55	ga_ls8c_ard_3-2-1_094073_2023-05-13_final
2023-05-13 09:40:19	ga_ls8c_ard_3-2-1_094074_2023-05-13_final
2023-05-13 09:40:43	ga_ls8c_ard_3-2-1_094075_2023-05-13_final
2023-05-13 09:41:07	ga_ls8c_ard_3-2-1_094076_2023-05-13_final
2023-05-13 09:41:31	ga_ls8c_ard_3-2-1_094077_2023-05-13_final
2023-05-13 09:41:54	ga_ls8c_ard_3-2-1_094078_2023-05-13_final
2023-05-13 09:42:18	ga_ls8c_ard_3-2-1_094079_2023-05-13_final
2023-05-15 09:31:08	ga_ls8c_ard_3-2-1_092082_2023-05-15_final
2023-05-15 09:31:32	ga_ls8c_ard_3-2-1_092083_2023-05-15_final
2023-05-15 09:31:56	ga_ls8c_ard_3-2-1_092084_2023-05-15_final
2023-05-15 09:32:20	ga_ls8c_ard_3-2-1_092085_2023-05-15_final
2023-05-15 09:32:44	ga_ls8c_ard_3-2-1_092086_2023-05-15_final
2023-05-15 09:33:07	ga_ls8c_ard_3-2-1_092087_2023-05-15_final
2024-03-30 09:31:27	ga_ls8c_ard_3-2-1_092082_2024-03-30_final
2024-03-30 09:31:51	ga_ls8c_ard_3-2-1_092083_2024-03-30_final
2024-03-30 09:32:15	ga_ls8c_ard_3-2-1_092084_2024-03-30_final
2024-03-30 09:32:39	ga_ls8c_ard_3-2-1_092085_2024-03-30_final
2024-03-30 09:33:03	ga_ls8c_ard_3-2-1_092086_2024-03-30_final
2024-03-30 09:33:27	ga_ls8c_ard_3-2-1_092087_2024-03-30_final
2024-04-01 09:21:54	ga_ls8c_ard_3-2-1_090089_2024-03-31_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