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
2016-08-18 11:38:32	ga_ls8c_ard_3-0-0_113074_2016-08-18_final
2016-08-18 11:38:56	ga_ls8c_ard_3-0-0_113075_2016-08-18_final
2016-08-18 11:39:20	ga_ls8c_ard_3-0-0_113076_2016-08-18_final
2016-08-18 11:39:44	ga_ls8c_ard_3-0-0_113077_2016-08-18_final
2016-08-18 11:40:08	ga_ls8c_ard_3-0-0_113078_2016-08-18_final
2016-08-18 11:40:32	ga_ls8c_ard_3-0-0_113079_2016-08-18_final
2016-09-03 11:38:38	ga_ls8c_ard_3-0-0_113074_2016-09-03_final
2016-09-03 11:39:02	ga_ls8c_ard_3-0-0_113075_2016-09-03_final
2016-09-03 11:39:26	ga_ls8c_ard_3-0-0_113076_2016-09-03_final
2016-09-03 11:39:50	ga_ls8c_ard_3-0-0_113077_2016-09-03_final
2016-09-03 11:40:14	ga_ls8c_ard_3-0-0_113078_2016-09-03_final
2016-09-03 11:40:38	ga_ls8c_ard_3-0-0_113079_2016-09-03_final
2016-09-05 11:29:29	ga_ls8c_ard_3-0-0_111082_2016-09-05_final
2016-09-05 11:29:53	ga_ls8c_ard_3-0-0_111083_2016-09-05_final
2016-09-05 11:30:17	ga_ls8c_ard_3-0-0_111084_2016-09-05_final
2016-09-05 11:30:41	ga_ls8c_ard_3-0-0_111085_2016-09-05_final
2016-09-10 11:44:51	ga_ls8c_ard_3-0-0_114074_2016-09-10_final
2016-09-12 11:34:05	ga_ls8c_ard_3-0-0_112078_2016-09-12_final
2016-09-12 11:34:29	ga_ls8c_ard_3-0-0_112079_2016-09-12_final
2016-09-12 11:34:53	ga_ls8c_ard_3-0-0_112080_2016-09-12_final
2016-09-12 11:35:17	ga_ls8c_ard_3-0-0_112081_2016-09-12_final
2016-09-12 11:35:41	ga_ls8c_ard_3-0-0_112082_2016-09-12_final
2016-09-12 11:36:05	ga_ls8c_ard_3-0-0_112083_2016-09-12_final
2016-10-05 11:38:43	ga_ls8c_ard_3-0-0_113074_2016-10-05_final
2016-10-05 11:39:07	ga_ls8c_ard_3-0-0_113075_2016-10-05_final
2016-10-05 11:39:31	ga_ls8c_ard_3-0-0_113076_2016-10-05_final
2016-10-05 11:39:55	ga_ls8c_ard_3-0-0_113077_2016-10-05_final
2016-10-05 11:40:19	ga_ls8c_ard_3-0-0_113078_2016-10-05_final
2016-10-05 11:40:43	ga_ls8c_ard_3-0-0_113079_2016-10-05_final
2016-10-14 11:34:11	ga_ls8c_ard_3-0-0_112078_2016-10-14_final
2016-10-14 11:34:35	ga_ls8c_ard_3-0-0_112079_2016-10-14_final
2016-10-14 11:34:59	ga_ls8c_ard_3-0-0_112080_2016-10-14_final
2016-10-14 11:35:23	ga_ls8c_ard_3-0-0_112081_2016-10-14_final
2016-10-14 11:35:47	ga_ls8c_ard_3-0-0_112082_2016-10-14_final
2016-10-14 11:36:11	ga_ls8c_ard_3-0-0_112083_2016-10-14_final
2016-10-30 11:34:13	ga_ls8c_ard_3-0-0_112078_2016-10-30_final
2016-10-30 11:34:37	ga_ls8c_ard_3-0-0_112079_2016-10-30_final
2016-10-30 11:35:01	ga_ls8c_ard_3-0-0_112080_2016-10-30_final
2016-10-30 11:35:25	ga_ls8c_ard_3-0-0_112081_2016-10-30_final
2016-10-30 11:35:48	ga_ls8c_ard_3-0-0_112082_2016-10-30_final
2016-10-30 11:36:12	ga_ls8c_ard_3-0-0_112083_2016-10-30_final
2016-11-22 11:38:23	ga_ls8c_ard_3-1-0_113073_2016-11-22_final
2016-11-22 11:38:47	ga_ls8c_ard_3-0-0_113074_2016-11-22_final
2016-11-22 11:39:11	ga_ls8c_ard_3-0-0_113075_2016-11-22_final
2016-11-22 11:39:35	ga_ls8c_ard_3-0-0_113076_2016-11-22_final
2016-11-22 11:39:59	ga_ls8c_ard_3-0-0_113077_2016-11-22_final
2016-11-22 11:40:23	ga_ls8c_ard_3-0-0_113078_2016-11-22_final
2016-11-22 11:40:47	ga_ls8c_ard_3-0-0_113079_2016-11-22_final
2017-07-22 11:29:10	ga_ls8c_ard_3-0-0_111082_2017-07-22_final
2017-07-22 11:29:34	ga_ls8c_ard_3-0-0_111083_2017-07-22_final
2017-07-22 11:29:58	ga_ls8c_ard_3-0-0_111084_2017-07-22_final
2017-07-22 11:30:22	ga_ls8c_ard_3-0-0_111085_2017-07-22_final
2017-08-05 11:38:02	ga_ls8c_ard_3-0-0_113073_2017-08-05_final
2017-08-05 11:38:26	ga_ls8c_ard_3-0-0_113074_2017-08-05_final
2017-08-05 11:38:50	ga_ls8c_ard_3-0-0_113075_2017-08-05_final
2017-08-05 11:39:14	ga_ls8c_ard_3-0-0_113076_2017-08-05_final
2017-08-05 11:39:38	ga_ls8c_ard_3-0-0_113077_2017-08-05_final
2017-08-05 11:40:02	ga_ls8c_ard_3-0-0_113078_2017-08-05_final
2017-08-05 11:40:26	ga_ls8c_ard_3-0-0_113079_2017-08-05_final
2017-08-21 11:38:07	ga_ls8c_ard_3-1-0_113073_2017-08-21_final
2017-08-21 11:38:31	ga_ls8c_ard_3-0-0_113074_2017-08-21_final
2017-08-21 11:38:55	ga_ls8c_ard_3-0-0_113075_2017-08-21_final
2017-08-21 11:39:19	ga_ls8c_ard_3-0-0_113076_2017-08-21_final
2017-08-21 11:39:43	ga_ls8c_ard_3-0-0_113077_2017-08-21_final
2017-08-21 11:40:07	ga_ls8c_ard_3-0-0_113078_2017-08-21_final
2017-08-21 11:40:31	ga_ls8c_ard_3-0-0_113079_2017-08-21_final
2017-09-06 11:38:33	ga_ls8c_ard_3-0-0_113074_2017-09-06_final
2017-09-06 11:38:57	ga_ls8c_ard_3-0-0_113075_2017-09-06_final
2017-09-06 11:39:21	ga_ls8c_ard_3-0-0_113076_2017-09-06_final
2017-09-06 11:39:45	ga_ls8c_ard_3-0-0_113077_2017-09-06_final
2017-09-06 11:40:09	ga_ls8c_ard_3-0-0_113078_2017-09-06_final
2017-09-06 11:40:33	ga_ls8c_ard_3-0-0_113079_2017-09-06_final
2017-10-08 11:38:19	ga_ls8c_ard_3-1-0_113073_2017-10-08_final
2017-10-08 11:38:43	ga_ls8c_ard_3-0-0_113074_2017-10-08_final
2017-10-08 11:39:07	ga_ls8c_ard_3-0-0_113075_2017-10-08_final
2017-10-08 11:39:31	ga_ls8c_ard_3-0-0_113076_2017-10-08_final
2017-10-08 11:39:55	ga_ls8c_ard_3-0-0_113077_2017-10-08_final
2017-10-08 11:40:19	ga_ls8c_ard_3-0-0_113078_2017-10-08_final
2017-10-08 11:40:43	ga_ls8c_ard_3-0-0_113079_2017-10-08_final
2020-01-04 11:29:29	ga_ls8c_ard_3-1-0_111082_2020-01-04_final
2020-01-04 11:29:53	ga_ls8c_ard_3-1-0_111083_2020-01-04_final
2020-01-04 11:30:17	ga_ls8c_ard_3-1-0_111084_2020-01-04_final
2020-01-04 11:30:41	ga_ls8c_ard_3-1-0_111085_2020-01-04_final
2022-06-25 11:34:06	ga_ls8c_ard_3-2-1_112078_2022-06-25_final
2022-06-25 11:34:30	ga_ls8c_ard_3-2-1_112079_2022-06-25_final
2022-06-25 11:34:54	ga_ls8c_ard_3-2-1_112080_2022-06-25_final
2022-06-25 11:35:17	ga_ls8c_ard_3-2-1_112081_2022-06-25_final
2022-06-25 11:35:41	ga_ls8c_ard_3-2-1_112082_2022-06-25_final
2022-06-25 11:36:05	ga_ls8c_ard_3-2-1_112083_2022-06-25_final
2022-06-27 11:24:32	ga_ls8c_ard_3-2-1_110085_2022-06-27_final
2022-07-02 11:38:18	ga_ls8c_ard_3-2-1_113073_2022-07-02_final
2022-07-02 11:38:41	ga_ls8c_ard_3-2-1_113074_2022-07-02_final
2022-07-02 11:39:05	ga_ls8c_ard_3-2-1_113075_2022-07-02_final
2022-07-02 11:39:29	ga_ls8c_ard_3-2-1_113076_2022-07-02_final
2022-07-02 11:39:53	ga_ls8c_ard_3-2-1_113077_2022-07-02_final
2022-07-02 11:40:17	ga_ls8c_ard_3-2-1_113078_2022-07-02_final
2022-07-02 11:40:41	ga_ls8c_ard_3-2-1_113079_2022-07-02_final
2022-07-04 11:29:31	ga_ls8c_ard_3-2-1_111082_2022-07-04_final
2022-07-04 11:29:55	ga_ls8c_ard_3-2-1_111083_2022-07-04_final
2022-07-04 11:30:19	ga_ls8c_ard_3-2-1_111084_2022-07-04_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