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
2017-10-26 11:30:47	ga_ls8c_ard_3-0-0_111085_2017-10-26_final
2017-11-02 11:35:45	ga_ls8c_ard_3-0-0_112082_2017-11-02_final
2017-11-02 11:36:09	ga_ls8c_ard_3-0-0_112083_2017-11-02_final
2017-11-02 11:36:33	ga_ls8c_ard_3-0-0_112084_2017-11-02_final
2017-11-02 11:36:57	ga_ls8c_ard_3-0-0_112085_2017-11-02_final
2017-11-11 11:30:45	ga_ls8c_ard_3-0-0_111085_2017-11-11_final
2017-12-29 11:30:39	ga_ls8c_ard_3-0-0_111085_2017-12-29_final
2018-01-05 11:35:35	ga_ls8c_ard_3-0-0_112082_2018-01-05_final
2018-01-05 11:35:59	ga_ls8c_ard_3-0-0_112083_2018-01-05_final
2018-01-05 11:36:23	ga_ls8c_ard_3-0-0_112084_2018-01-05_final
2018-01-05 11:36:47	ga_ls8c_ard_3-0-0_112085_2018-01-05_final
2018-01-21 11:35:27	ga_ls8c_ard_3-0-0_112082_2018-01-21_final
2018-01-21 11:35:51	ga_ls8c_ard_3-0-0_112083_2018-01-21_final
2018-01-21 11:36:15	ga_ls8c_ard_3-0-0_112084_2018-01-21_final
2018-01-21 11:36:39	ga_ls8c_ard_3-0-0_112085_2018-01-21_final
2019-07-01 11:44:08	ga_ls8c_ard_3-1-0_114073_2019-07-01_final
2019-07-01 11:44:32	ga_ls8c_ard_3-1-0_114074_2019-07-01_final
2019-07-01 11:44:56	ga_ls8c_ard_3-1-0_114075_2019-07-01_final
2019-07-01 11:45:20	ga_ls8c_ard_3-1-0_114076_2019-07-01_final
2019-07-01 11:45:44	ga_ls8c_ard_3-1-0_114077_2019-07-01_final
2019-07-01 11:46:08	ga_ls8c_ard_3-1-0_114078_2019-07-01_final
2019-07-01 11:46:31	ga_ls8c_ard_3-1-0_114079_2019-07-01_final
2019-07-03 11:35:22	ga_ls8c_ard_3-1-0_112082_2019-07-03_final
2019-07-03 11:35:46	ga_ls8c_ard_3-1-0_112083_2019-07-03_final
2019-07-03 11:36:10	ga_ls8c_ard_3-1-0_112084_2019-07-03_final
2019-07-03 11:36:34	ga_ls8c_ard_3-1-0_112085_2019-07-03_final
2019-07-17 11:44:11	ga_ls8c_ard_3-1-0_114073_2019-07-17_final
2019-07-17 11:44:34	ga_ls8c_ard_3-1-0_114074_2019-07-17_final
2019-07-17 11:44:58	ga_ls8c_ard_3-1-0_114075_2019-07-17_final
2019-07-17 11:45:22	ga_ls8c_ard_3-1-0_114076_2019-07-17_final
2019-07-17 11:45:46	ga_ls8c_ard_3-1-0_114077_2019-07-17_final
2019-07-17 11:46:10	ga_ls8c_ard_3-1-0_114078_2019-07-17_final
2019-07-17 11:46:34	ga_ls8c_ard_3-1-0_114079_2019-07-17_final
2019-08-04 11:35:32	ga_ls8c_ard_3-1-0_112082_2019-08-04_final
2019-08-04 11:35:56	ga_ls8c_ard_3-1-0_112083_2019-08-04_final
2019-08-04 11:36:20	ga_ls8c_ard_3-1-0_112084_2019-08-04_final
2019-08-04 11:36:44	ga_ls8c_ard_3-1-0_112085_2019-08-04_final
2019-08-20 11:35:37	ga_ls8c_ard_3-1-0_112082_2019-08-20_final
2019-08-20 11:36:01	ga_ls8c_ard_3-1-0_112083_2019-08-20_final
2019-08-20 11:36:25	ga_ls8c_ard_3-1-0_112084_2019-08-20_final
2019-08-20 11:36:49	ga_ls8c_ard_3-1-0_112085_2019-08-20_final
2019-09-03 11:44:26	ga_ls8c_ard_3-1-0_114073_2019-09-03_final
2019-09-03 11:44:50	ga_ls8c_ard_3-1-0_114074_2019-09-03_final
2019-09-03 11:45:14	ga_ls8c_ard_3-1-0_114075_2019-09-03_final
2019-09-03 11:45:38	ga_ls8c_ard_3-1-0_114076_2019-09-03_final
2019-09-03 11:46:02	ga_ls8c_ard_3-1-0_114077_2019-09-03_final
2019-09-03 11:46:26	ga_ls8c_ard_3-1-0_114078_2019-09-03_final
2019-09-03 11:46:50	ga_ls8c_ard_3-1-0_114079_2019-09-03_final
2019-10-21 11:44:37	ga_ls8c_ard_3-1-0_114073_2019-10-21_final
2019-10-21 11:45:01	ga_ls8c_ard_3-1-0_114074_2019-10-21_final
2019-10-21 11:45:25	ga_ls8c_ard_3-1-0_114075_2019-10-21_final
2019-10-21 11:45:49	ga_ls8c_ard_3-1-0_114076_2019-10-21_final
2019-10-21 11:46:13	ga_ls8c_ard_3-1-0_114077_2019-10-21_final
2019-10-21 11:46:37	ga_ls8c_ard_3-1-0_114078_2019-10-21_final
2019-10-21 11:47:01	ga_ls8c_ard_3-1-0_114079_2019-10-21_final
2019-10-28 11:50:48	ga_ls8c_ard_3-1-0_115073_2019-10-28_final
2019-10-28 11:51:12	ga_ls8c_ard_3-1-0_115074_2019-10-28_final
2019-11-15 11:40:23	ga_ls8c_ard_3-1-0_113078_2019-11-15_final
2019-11-15 11:40:47	ga_ls8c_ard_3-1-0_113079_2019-11-15_final
2019-11-15 11:41:11	ga_ls8c_ard_3-1-0_113080_2019-11-15_final
2019-11-15 11:41:35	ga_ls8c_ard_3-1-0_113081_2019-11-15_final
2019-11-15 11:41:59	ga_ls8c_ard_3-1-0_113082_2019-11-15_final
2019-11-15 11:42:23	ga_ls8c_ard_3-1-0_113083_2019-11-15_final
2019-12-08 11:44:32	ga_ls8c_ard_3-1-0_114073_2019-12-08_final
2019-12-08 11:44:56	ga_ls8c_ard_3-1-0_114074_2019-12-08_final
2019-12-08 11:45:20	ga_ls8c_ard_3-1-0_114075_2019-12-08_final
2019-12-08 11:45:44	ga_ls8c_ard_3-1-0_114076_2019-12-08_final
2019-12-08 11:46:08	ga_ls8c_ard_3-1-0_114077_2019-12-08_final
2019-12-08 11:46:32	ga_ls8c_ard_3-1-0_114078_2019-12-08_final
2019-12-08 11:46:56	ga_ls8c_ard_3-1-0_114079_2019-12-08_final
2019-12-10 11:35:46	ga_ls8c_ard_3-1-0_112082_2019-12-10_final
2019-12-10 11:36:10	ga_ls8c_ard_3-1-0_112083_2019-12-10_final
2019-12-10 11:36:34	ga_ls8c_ard_3-1-0_112084_2019-12-10_final
2019-12-10 11:36:58	ga_ls8c_ard_3-1-0_112085_2019-12-10_final
2020-02-19 11:40:04	ga_ls8c_ard_3-1-0_113078_2020-02-19_final
2020-02-19 11:40:27	ga_ls8c_ard_3-1-0_113079_2020-02-19_final
2020-02-19 11:40:51	ga_ls8c_ard_3-1-0_113080_2020-02-19_final
2020-02-19 11:41:15	ga_ls8c_ard_3-1-0_113081_2020-02-19_final
2020-02-19 11:41:39	ga_ls8c_ard_3-1-0_113082_2020-02-19_final
2020-02-19 11:42:03	ga_ls8c_ard_3-1-0_113083_2020-02-19_final
2020-02-26 11:44:37	ga_ls8c_ard_3-1-0_114074_2020-02-26_final
2020-02-26 11:45:01	ga_ls8c_ard_3-1-0_114075_2020-02-26_final
2020-02-26 11:45:24	ga_ls8c_ard_3-1-0_114076_2020-02-26_final
2020-02-26 11:45:48	ga_ls8c_ard_3-1-0_114077_2020-02-26_final
2020-02-26 11:46:12	ga_ls8c_ard_3-1-0_114078_2020-02-26_final
2020-02-26 11:46:36	ga_ls8c_ard_3-1-0_114079_2020-02-26_final
2020-11-24 11:44:57	ga_ls8c_ard_3-1-0_114074_2020-11-24_final
2020-11-24 11:45:21	ga_ls8c_ard_3-1-0_114075_2020-11-24_final
2020-11-24 11:46:57	ga_ls8c_ard_3-1-0_114079_2020-11-24_final
2020-12-17 11:50:45	ga_ls8c_ard_3-2-0_115073_2020-12-17_final
2020-12-17 11:51:09	ga_ls8c_ard_3-2-0_115074_2020-12-17_final
2020-12-28 11:35:46	ga_ls8c_ard_3-2-0_112082_2020-12-28_final
2020-12-28 11:36:10	ga_ls8c_ard_3-2-0_112083_2020-12-28_final
2020-12-28 11:36:33	ga_ls8c_ard_3-2-0_112084_2020-12-28_final
2020-12-28 11:36:57	ga_ls8c_ard_3-2-0_112085_2020-12-28_final
2021-01-11 11:44:50	ga_ls8c_ard_3-2-0_114074_2021-01-11_final
2021-01-11 11:45:14	ga_ls8c_ard_3-2-0_114075_2021-01-11_final
2021-01-11 11:45:38	ga_ls8c_ard_3-2-0_114076_2021-01-11_final
2021-01-11 11:46:02	ga_ls8c_ard_3-2-0_114077_2021-01-11_final
2021-01-11 11:46:26	ga_ls8c_ard_3-2-0_114078_2021-01-11_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