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
2013-04-01 11:49:01	ga_ls8c_ard_3-0-0_114074_2013-04-01_final
2013-04-01 11:49:24	ga_ls8c_ard_3-0-0_114075_2013-04-01_final
2013-04-01 11:49:48	ga_ls8c_ard_3-0-0_114076_2013-04-01_final
2013-04-01 11:50:12	ga_ls8c_ard_3-0-0_114077_2013-04-01_final
2013-07-09 11:42:26	ga_ls8c_ard_3-0-0_113079_2013-07-09_final
2013-07-09 11:42:50	ga_ls8c_ard_3-0-0_113080_2013-07-09_final
2013-07-09 11:43:14	ga_ls8c_ard_3-0-0_113081_2013-07-09_final
2013-07-09 11:43:38	ga_ls8c_ard_3-0-0_113082_2013-07-09_final
2013-07-09 11:44:02	ga_ls8c_ard_3-0-0_113083_2013-07-09_final
2016-08-25 11:44:46	ga_ls8c_ard_3-0-0_114074_2016-08-25_final
2016-08-25 11:45:10	ga_ls8c_ard_3-0-0_114075_2016-08-25_final
2016-08-25 11:45:34	ga_ls8c_ard_3-0-0_114076_2016-08-25_final
2016-08-25 11:45:58	ga_ls8c_ard_3-0-0_114077_2016-08-25_final
2016-08-25 11:46:22	ga_ls8c_ard_3-0-0_114078_2016-08-25_final
2016-08-25 11:46:46	ga_ls8c_ard_3-0-0_114079_2016-08-25_final
2016-08-25 11:47:10	ga_ls8c_ard_3-0-0_114080_2016-08-25_final
2016-08-27 11:36:01	ga_ls8c_ard_3-0-0_112083_2016-08-27_final
2016-08-27 11:36:25	ga_ls8c_ard_3-0-0_112084_2016-08-27_final
2016-08-27 11:36:49	ga_ls8c_ard_3-0-0_112085_2016-08-27_final
2016-10-12 11:44:56	ga_ls8c_ard_3-0-0_114074_2016-10-12_final
2016-10-12 11:45:20	ga_ls8c_ard_3-0-0_114075_2016-10-12_final
2016-10-12 11:45:44	ga_ls8c_ard_3-0-0_114076_2016-10-12_final
2016-10-12 11:46:08	ga_ls8c_ard_3-0-0_114077_2016-10-12_final
2016-10-12 11:46:32	ga_ls8c_ard_3-0-0_114078_2016-10-12_final
2016-10-12 11:46:56	ga_ls8c_ard_3-0-0_114079_2016-10-12_final
2016-10-12 11:47:20	ga_ls8c_ard_3-0-0_114080_2016-10-12_final
2017-07-13 11:35:40	ga_ls8c_ard_3-0-0_112083_2017-07-13_final
2017-07-13 11:36:04	ga_ls8c_ard_3-0-0_112084_2017-07-13_final
2017-07-13 11:36:28	ga_ls8c_ard_3-0-0_112085_2017-07-13_final
2017-08-14 11:35:30	ga_ls8c_ard_3-0-0_112082_2017-08-14_final
2017-08-14 11:35:54	ga_ls8c_ard_3-0-0_112083_2017-08-14_final
2017-08-14 11:36:18	ga_ls8c_ard_3-0-0_112084_2017-08-14_final
2017-08-14 11:36:42	ga_ls8c_ard_3-0-0_112085_2017-08-14_final
2017-09-04 11:50:31	ga_ls8c_ard_3-0-0_115073_2017-09-04_final
2017-09-04 11:50:55	ga_ls8c_ard_3-0-0_115074_2017-09-04_final
2017-09-04 11:51:19	ga_ls8c_ard_3-0-0_115075_2017-09-04_final
2017-09-06 11:40:33	ga_ls8c_ard_3-0-0_113079_2017-09-06_final
2017-09-06 11:40:57	ga_ls8c_ard_3-0-0_113080_2017-09-06_final
2017-09-06 11:41:21	ga_ls8c_ard_3-0-0_113081_2017-09-06_final
2017-09-06 11:41:45	ga_ls8c_ard_3-0-0_113082_2017-09-06_final
2017-09-20 11:50:34	ga_ls8c_ard_3-0-0_115073_2017-09-20_final
2017-09-20 11:50:58	ga_ls8c_ard_3-0-0_115074_2017-09-20_final
2017-09-20 11:51:22	ga_ls8c_ard_3-0-0_115075_2017-09-20_final
2017-09-22 11:40:37	ga_ls8c_ard_3-0-0_113079_2017-09-22_final
2017-09-22 11:41:01	ga_ls8c_ard_3-0-0_113080_2017-09-22_final
2017-09-22 11:41:25	ga_ls8c_ard_3-0-0_113081_2017-09-22_final
2017-09-22 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-09-22_final
2017-09-22 11:42:12	ga_ls8c_ard_3-0-0_113083_2017-09-22_final
2017-09-22 11:42:36	ga_ls8c_ard_3-0-0_113084_2017-09-22_final
2017-10-01 11:35:42	ga_ls8c_ard_3-0-0_112082_2017-10-01_final
2017-10-01 11:36:05	ga_ls8c_ard_3-0-0_112083_2017-10-01_final
2017-10-01 11:36:29	ga_ls8c_ard_3-0-0_112084_2017-10-01_final
2017-10-01 11:36:53	ga_ls8c_ard_3-0-0_112085_2017-10-01_final
2017-10-17 11:35:45	ga_ls8c_ard_3-0-0_112082_2017-10-17_final
2017-10-17 11:36:09	ga_ls8c_ard_3-0-0_112083_2017-10-17_final
2017-10-17 11:36:33	ga_ls8c_ard_3-0-0_112084_2017-10-17_final
2017-10-17 11:36:57	ga_ls8c_ard_3-0-0_112085_2017-10-17_final
2021-11-02 11:50:50	ga_ls8c_ard_3-2-0_115073_2021-11-02_final
2021-11-02 11:51:14	ga_ls8c_ard_3-2-0_115074_2021-11-02_final
2021-11-02 11:51:38	ga_ls8c_ard_3-2-0_115075_2021-11-02_final
2021-11-04 11:40:51	ga_ls8c_ard_3-2-0_113079_2021-11-04_final
2021-11-04 11:41:15	ga_ls8c_ard_3-2-0_113080_2021-11-04_final
2021-11-04 11:41:39	ga_ls8c_ard_3-2-0_113081_2021-11-04_final
2021-11-04 11:42:03	ga_ls8c_ard_3-2-0_113082_2021-11-04_final
2021-11-04 11:42:27	ga_ls8c_ard_3-2-0_113083_2021-11-04_final
2021-11-04 11:42:51	ga_ls8c_ard_3-2-0_113084_2021-11-04_final
2022-08-10 11:45:07	ga_ls8c_ard_3-2-1_114074_2022-08-10_final
2022-08-10 11:45:31	ga_ls8c_ard_3-2-1_114075_2022-08-10_final
2022-08-10 11:45:55	ga_ls8c_ard_3-2-1_114076_2022-08-10_final
2022-08-10 11:46:19	ga_ls8c_ard_3-2-1_114077_2022-08-10_final
2022-08-10 11:46:43	ga_ls8c_ard_3-2-1_114078_2022-08-10_final
2022-08-10 11:47:07	ga_ls8c_ard_3-2-1_114079_2022-08-10_final
2022-08-10 11:47:31	ga_ls8c_ard_3-2-1_114080_2022-08-10_final
2022-08-12 11:35:58	ga_ls8c_ard_3-2-1_112082_2022-08-12_final
2022-08-12 11:36:22	ga_ls8c_ard_3-2-1_112083_2022-08-12_final
2022-08-12 11:36:46	ga_ls8c_ard_3-2-1_112084_2022-08-12_final
2022-08-17 11:51:20	ga_ls8c_ard_3-2-1_115074_2022-08-17_final
2022-08-17 11:51:44	ga_ls8c_ard_3-2-1_115075_2022-08-17_final
2022-08-26 11:45:10	ga_ls8c_ard_3-2-1_114074_2022-08-26_final
2022-08-26 11:45:34	ga_ls8c_ard_3-2-1_114075_2022-08-26_final
2022-08-26 11:45:58	ga_ls8c_ard_3-2-1_114076_2022-08-26_final
2022-08-26 11:46:22	ga_ls8c_ard_3-2-1_114077_2022-08-26_final
2022-08-26 11:46:46	ga_ls8c_ard_3-2-1_114078_2022-08-26_final
2022-08-26 11:47:10	ga_ls8c_ard_3-2-1_114079_2022-08-26_final
2022-08-26 11:47:33	ga_ls8c_ard_3-2-1_114080_2022-08-26_final
2022-09-02 11:51:20	ga_ls8c_ard_3-2-1_115074_2022-09-02_final
2022-09-02 11:51:44	ga_ls8c_ard_3-2-1_115075_2022-09-02_final
2022-09-04 11:40:35	ga_ls8c_ard_3-2-1_113078_2022-09-04_final
2022-09-04 11:40:59	ga_ls8c_ard_3-2-1_113079_2022-09-04_final
2022-09-04 11:41:23	ga_ls8c_ard_3-2-1_113080_2022-09-04_final
2022-09-04 11:41:47	ga_ls8c_ard_3-2-1_113081_2022-09-04_final
2022-09-04 11:42:11	ga_ls8c_ard_3-2-1_113082_2022-09-04_final
2022-09-04 11:42:35	ga_ls8c_ard_3-2-1_113083_2022-09-04_final
2022-09-04 11:42:58	ga_ls8c_ard_3-2-1_113084_2022-09-04_final
2022-09-11 11:45:14	ga_ls8c_ard_3-2-1_114074_2022-09-11_final
2022-09-11 11:45:38	ga_ls8c_ard_3-2-1_114075_2022-09-11_final
2022-09-11 11:46:02	ga_ls8c_ard_3-2-1_114076_2022-09-11_final
2022-09-11 11:46:26	ga_ls8c_ard_3-2-1_114077_2022-09-11_final
2022-09-11 11:46:50	ga_ls8c_ard_3-2-1_114078_2022-09-11_final
2022-09-11 11:47:14	ga_ls8c_ard_3-2-1_114079_2022-09-11_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