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
2015-12-13 11:44:45	ga_ls8c_ard_3-0-0_114074_2015-12-13_final
2015-12-13 11:45:09	ga_ls8c_ard_3-0-0_114075_2015-12-13_final
2015-12-13 11:45:33	ga_ls8c_ard_3-0-0_114076_2015-12-13_final
2015-12-15 11:34:47	ga_ls8c_ard_3-0-0_112080_2015-12-15_final
2015-12-15 11:35:11	ga_ls8c_ard_3-0-0_112081_2015-12-15_final
2015-12-15 11:35:35	ga_ls8c_ard_3-0-0_112082_2015-12-15_final
2015-12-15 11:35:59	ga_ls8c_ard_3-0-0_112083_2015-12-15_final
2015-12-15 11:36:23	ga_ls8c_ard_3-0-0_112084_2015-12-15_final
2015-12-15 11:36:47	ga_ls8c_ard_3-0-0_112085_2015-12-15_final
2015-12-22 11:38:59	ga_ls8c_ard_3-0-0_113075_2015-12-22_final
2015-12-22 11:39:23	ga_ls8c_ard_3-0-0_113076_2015-12-22_final
2015-12-22 11:39:47	ga_ls8c_ard_3-0-0_113077_2015-12-22_final
2015-12-22 11:40:11	ga_ls8c_ard_3-0-0_113078_2015-12-22_final
2015-12-22 11:40:35	ga_ls8c_ard_3-0-0_113079_2015-12-22_final
2015-12-22 11:40:59	ga_ls8c_ard_3-0-0_113080_2015-12-22_final
2015-12-22 11:41:23	ga_ls8c_ard_3-0-0_113081_2015-12-22_final
2015-12-24 11:29:49	ga_ls8c_ard_3-0-0_111083_2015-12-24_final
2015-12-24 11:30:13	ga_ls8c_ard_3-0-0_111084_2015-12-24_final
2015-12-24 11:30:37	ga_ls8c_ard_3-0-0_111085_2015-12-24_final
2016-01-14 11:44:42	ga_ls8c_ard_3-0-0_114074_2016-01-14_final
2016-01-14 11:45:06	ga_ls8c_ard_3-0-0_114075_2016-01-14_final
2016-01-14 11:45:30	ga_ls8c_ard_3-0-0_114076_2016-01-14_final
2016-01-16 11:34:45	ga_ls8c_ard_3-0-0_112080_2016-01-16_final
2016-01-16 11:35:09	ga_ls8c_ard_3-0-0_112081_2016-01-16_final
2016-01-16 11:35:32	ga_ls8c_ard_3-0-0_112082_2016-01-16_final
2016-01-16 11:35:56	ga_ls8c_ard_3-0-0_112083_2016-01-16_final
2016-01-16 11:36:20	ga_ls8c_ard_3-0-0_112084_2016-01-16_final
2016-01-16 11:36:44	ga_ls8c_ard_3-0-0_112085_2016-01-16_final
2016-03-18 11:44:26	ga_ls8c_ard_3-0-0_114074_2016-03-18_final
2016-03-18 11:44:50	ga_ls8c_ard_3-0-0_114075_2016-03-18_final
2016-03-18 11:45:14	ga_ls8c_ard_3-0-0_114076_2016-03-18_final
2016-03-20 11:34:27	ga_ls8c_ard_3-0-0_112080_2016-03-20_final
2016-03-20 11:34:51	ga_ls8c_ard_3-0-0_112081_2016-03-20_final
2016-03-20 11:35:15	ga_ls8c_ard_3-0-0_112082_2016-03-20_final
2016-03-20 11:35:39	ga_ls8c_ard_3-0-0_112083_2016-03-20_final
2016-03-20 11:36:03	ga_ls8c_ard_3-0-0_112084_2016-03-20_final
2016-03-20 11:36:27	ga_ls8c_ard_3-0-0_112085_2016-03-20_final
2016-05-05 11:44:14	ga_ls8c_ard_3-0-0_114074_2016-05-05_final
2016-05-05 11:44:38	ga_ls8c_ard_3-0-0_114075_2016-05-05_final
2016-05-05 11:45:02	ga_ls8c_ard_3-0-0_114076_2016-05-05_final
2016-05-07 11:33:51	ga_ls8c_ard_3-0-0_112079_2016-05-07_final
2016-05-07 11:34:15	ga_ls8c_ard_3-0-0_112080_2016-05-07_final
2016-05-07 11:34:39	ga_ls8c_ard_3-0-0_112081_2016-05-07_final
2016-05-07 11:35:03	ga_ls8c_ard_3-0-0_112082_2016-05-07_final
2016-05-07 11:35:27	ga_ls8c_ard_3-0-0_112083_2016-05-07_final
2016-05-07 11:35:51	ga_ls8c_ard_3-0-0_112084_2016-05-07_final
2016-05-07 11:36:15	ga_ls8c_ard_3-0-0_112085_2016-05-07_final
2016-11-24 11:30:01	ga_ls8c_ard_3-0-0_111083_2016-11-24_final
2016-11-24 11:30:25	ga_ls8c_ard_3-0-0_111084_2016-11-24_final
2016-11-24 11:30:49	ga_ls8c_ard_3-0-0_111085_2016-11-24_final
2017-01-27 11:29:46	ga_ls8c_ard_3-0-0_111083_2017-01-27_final
2017-01-27 11:30:10	ga_ls8c_ard_3-0-0_111084_2017-01-27_final
2017-01-27 11:30:34	ga_ls8c_ard_3-0-0_111085_2017-01-27_final
2017-03-16 11:29:47	ga_ls8c_ard_3-0-0_111084_2017-03-16_final
2017-03-16 11:30:11	ga_ls8c_ard_3-0-0_111085_2017-03-16_final
2019-02-18 11:29:48	ga_ls8c_ard_3-0-0_111084_2019-02-18_final
2019-02-18 11:30:12	ga_ls8c_ard_3-0-0_111085_2019-02-18_final
2019-04-07 11:29:11	ga_ls8c_ard_3-1-0_111083_2019-04-07_final
2019-04-07 11:29:35	ga_ls8c_ard_3-1-0_111084_2019-04-07_final
2019-04-07 11:29:59	ga_ls8c_ard_3-1-0_111085_2019-04-07_final
2019-04-28 11:43:38	ga_ls8c_ard_3-0-0_114073_2019-04-28_final
2019-04-28 11:44:02	ga_ls8c_ard_3-0-0_114074_2019-04-28_final
2019-04-28 11:44:26	ga_ls8c_ard_3-0-0_114075_2019-04-28_final
2019-04-28 11:44:49	ga_ls8c_ard_3-0-0_114076_2019-04-28_final
2019-04-30 11:34:04	ga_ls8c_ard_3-0-0_112080_2019-04-30_final
2019-04-30 11:34:28	ga_ls8c_ard_3-0-0_112081_2019-04-30_final
2019-04-30 11:34:52	ga_ls8c_ard_3-0-0_112082_2019-04-30_final
2019-04-30 11:35:16	ga_ls8c_ard_3-0-0_112083_2019-04-30_final
2019-04-30 11:35:40	ga_ls8c_ard_3-0-0_112084_2019-04-30_final
2019-04-30 11:36:04	ga_ls8c_ard_3-0-0_112085_2019-04-30_final
2019-05-14 11:43:47	ga_ls8c_ard_3-0-0_114073_2019-05-14_final
2019-05-14 11:44:11	ga_ls8c_ard_3-0-0_114074_2019-05-14_final
2019-05-14 11:44:35	ga_ls8c_ard_3-0-0_114075_2019-05-14_final
2019-05-14 11:44:59	ga_ls8c_ard_3-0-0_114076_2019-05-14_final
2019-05-16 11:34:14	ga_ls8c_ard_3-0-0_112080_2019-05-16_final
2019-05-16 11:34:38	ga_ls8c_ard_3-0-0_112081_2019-05-16_final
2019-05-16 11:35:02	ga_ls8c_ard_3-0-0_112082_2019-05-16_final
2019-05-16 11:35:26	ga_ls8c_ard_3-0-0_112083_2019-05-16_final
2019-05-16 11:35:50	ga_ls8c_ard_3-0-0_112084_2019-05-16_final
2019-05-16 11:36:14	ga_ls8c_ard_3-0-0_112085_2019-05-16_final
2019-05-25 11:29:21	ga_ls8c_ard_3-0-0_111083_2019-05-25_final
2019-05-25 11:29:45	ga_ls8c_ard_3-0-0_111084_2019-05-25_final
2019-05-25 11:30:09	ga_ls8c_ard_3-0-0_111085_2019-05-25_final
2019-06-24 11:38:43	ga_ls8c_ard_3-1-0_113075_2019-06-24_final
2019-06-24 11:39:07	ga_ls8c_ard_3-1-0_113076_2019-06-24_final
2019-06-24 11:39:31	ga_ls8c_ard_3-1-0_113077_2019-06-24_final
2019-06-24 11:39:55	ga_ls8c_ard_3-1-0_113078_2019-06-24_final
2019-06-24 11:40:19	ga_ls8c_ard_3-1-0_113079_2019-06-24_final
2019-06-24 11:40:43	ga_ls8c_ard_3-1-0_113080_2019-06-24_final
2019-06-24 11:41:07	ga_ls8c_ard_3-1-0_113081_2019-06-24_final
2019-06-26 11:29:34	ga_ls8c_ard_3-1-0_111083_2019-06-26_final
2019-06-26 11:29:57	ga_ls8c_ard_3-1-0_111084_2019-06-26_final
2019-06-26 11:30:21	ga_ls8c_ard_3-1-0_111085_2019-06-26_final
2019-07-03 11:34:34	ga_ls8c_ard_3-1-0_112080_2019-07-03_final
2019-07-03 11:34:58	ga_ls8c_ard_3-1-0_112081_2019-07-03_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
2019-11-08 11:35:02	ga_ls8c_ard_3-1-0_112080_2019-11-08_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