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
2014-12-19 11:38:10	ga_ls8c_ard_3-1-0_113073_2014-12-19_final
2014-12-19 11:38:34	ga_ls8c_ard_3-0-0_113074_2014-12-19_final
2014-12-19 11:38:58	ga_ls8c_ard_3-0-0_113075_2014-12-19_final
2014-12-19 11:39:22	ga_ls8c_ard_3-0-0_113076_2014-12-19_final
2014-12-19 11:39:46	ga_ls8c_ard_3-0-0_113077_2014-12-19_final
2014-12-19 11:40:10	ga_ls8c_ard_3-0-0_113078_2014-12-19_final
2014-12-19 11:40:34	ga_ls8c_ard_3-0-0_113079_2014-12-19_final
2014-12-21 11:29:24	ga_ls8c_ard_3-0-0_111082_2014-12-21_final
2014-12-21 11:29:48	ga_ls8c_ard_3-0-0_111083_2014-12-21_final
2014-12-21 11:30:12	ga_ls8c_ard_3-0-0_111084_2014-12-21_final
2014-12-28 11:33:56	ga_ls8c_ard_3-0-0_112078_2014-12-28_final
2014-12-28 11:34:20	ga_ls8c_ard_3-0-0_112079_2014-12-28_final
2015-01-04 11:38:05	ga_ls8c_ard_3-0-0_113073_2015-01-04_final
2015-01-04 11:38:29	ga_ls8c_ard_3-0-0_113074_2015-01-04_final
2015-01-04 11:38:53	ga_ls8c_ard_3-0-0_113075_2015-01-04_final
2015-01-04 11:39:17	ga_ls8c_ard_3-0-0_113076_2015-01-04_final
2015-01-04 11:39:41	ga_ls8c_ard_3-0-0_113077_2015-01-04_final
2015-01-04 11:40:05	ga_ls8c_ard_3-0-0_113078_2015-01-04_final
2015-01-04 11:40:29	ga_ls8c_ard_3-0-0_113079_2015-01-04_final
2015-01-06 11:29:20	ga_ls8c_ard_3-0-0_111082_2015-01-06_final
2015-01-06 11:29:44	ga_ls8c_ard_3-0-0_111083_2015-01-06_final
2015-01-06 11:30:07	ga_ls8c_ard_3-0-0_111084_2015-01-06_final
2015-01-11 11:44:40	ga_ls8c_ard_3-0-0_114074_2015-01-11_final
2015-01-13 11:33:30	ga_ls8c_ard_3-0-0_112077_2015-01-13_final
2015-01-13 11:33:54	ga_ls8c_ard_3-0-0_112078_2015-01-13_final
2015-01-13 11:34:18	ga_ls8c_ard_3-0-0_112079_2015-01-13_final
2015-01-13 11:34:42	ga_ls8c_ard_3-0-0_112080_2015-01-13_final
2015-01-13 11:35:06	ga_ls8c_ard_3-0-0_112081_2015-01-13_final
2015-01-13 11:35:30	ga_ls8c_ard_3-0-0_112082_2015-01-13_final
2015-01-13 11:35:54	ga_ls8c_ard_3-0-0_112083_2015-01-13_final
2015-01-22 11:29:14	ga_ls8c_ard_3-0-0_111082_2015-01-22_final
2015-01-22 11:29:38	ga_ls8c_ard_3-0-0_111083_2015-01-22_final
2015-01-22 11:30:02	ga_ls8c_ard_3-0-0_111084_2015-01-22_final
2015-02-07 11:29:11	ga_ls8c_ard_3-0-0_111082_2015-02-07_final
2015-02-07 11:29:35	ga_ls8c_ard_3-0-0_111083_2015-02-07_final
2015-02-07 11:29:59	ga_ls8c_ard_3-0-0_111084_2015-02-07_final
2015-03-18 11:33:27	ga_ls8c_ard_3-0-0_112078_2015-03-18_final
2015-03-18 11:33:51	ga_ls8c_ard_3-0-0_112079_2015-03-18_final
2015-03-18 11:34:15	ga_ls8c_ard_3-0-0_112080_2015-03-18_final
2015-03-18 11:34:39	ga_ls8c_ard_3-0-0_112081_2015-03-18_final
2015-03-18 11:35:03	ga_ls8c_ard_3-0-0_112082_2015-03-18_final
2015-03-18 11:35:27	ga_ls8c_ard_3-0-0_112083_2015-03-18_final
2015-04-10 11:37:25	ga_ls8c_ard_3-0-0_113073_2015-04-10_final
2015-04-10 11:37:49	ga_ls8c_ard_3-0-0_113074_2015-04-10_final
2015-04-10 11:38:13	ga_ls8c_ard_3-0-0_113075_2015-04-10_final
2015-04-10 11:38:37	ga_ls8c_ard_3-0-0_113076_2015-04-10_final
2015-04-10 11:39:01	ga_ls8c_ard_3-0-0_113077_2015-04-10_final
2015-04-10 11:39:25	ga_ls8c_ard_3-0-0_113078_2015-04-10_final
2015-04-10 11:39:49	ga_ls8c_ard_3-0-0_113079_2015-04-10_final
2018-06-21 11:37:00	ga_ls8c_ard_3-0-0_113073_2018-06-21_final
2018-06-21 11:37:24	ga_ls8c_ard_3-0-0_113074_2018-06-21_final
2018-06-21 11:37:48	ga_ls8c_ard_3-0-0_113075_2018-06-21_final
2018-06-21 11:38:12	ga_ls8c_ard_3-0-0_113076_2018-06-21_final
2018-06-21 11:38:36	ga_ls8c_ard_3-0-0_113077_2018-06-21_final
2018-06-21 11:39:00	ga_ls8c_ard_3-0-0_113078_2018-06-21_final
2018-06-21 11:39:24	ga_ls8c_ard_3-0-0_113079_2018-06-21_final
2018-08-24 11:37:33	ga_ls8c_ard_3-1-0_113073_2018-08-24_final
2018-08-24 11:37:57	ga_ls8c_ard_3-0-0_113074_2018-08-24_final
2018-08-24 11:38:21	ga_ls8c_ard_3-0-0_113075_2018-08-24_final
2018-08-24 11:38:45	ga_ls8c_ard_3-0-0_113076_2018-08-24_final
2018-08-24 11:39:09	ga_ls8c_ard_3-0-0_113077_2018-08-24_final
2018-08-24 11:39:33	ga_ls8c_ard_3-0-0_113078_2018-08-24_final
2018-08-24 11:39:57	ga_ls8c_ard_3-0-0_113079_2018-08-24_final
2019-02-11 11:24:03	ga_ls8c_ard_3-0-0_110085_2019-02-11_final
2019-03-31 11:23:50	ga_ls8c_ard_3-1-0_110085_2019-03-31_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
2019-05-30 11:43:56	ga_ls8c_ard_3-0-0_114073_2019-05-30_final
2019-05-30 11:44:20	ga_ls8c_ard_3-0-0_114074_2019-05-30_final
2019-08-02 11:44:17	ga_ls8c_ard_3-1-0_114073_2019-08-02_final
2019-08-02 11:44:41	ga_ls8c_ard_3-1-0_114074_2019-08-02_final
2019-09-12 11:38:18	ga_ls8c_ard_3-1-0_113073_2019-09-12_final
2019-09-12 11:38:42	ga_ls8c_ard_3-1-0_113074_2019-09-12_final
2019-09-12 11:39:06	ga_ls8c_ard_3-1-0_113075_2019-09-12_final
2019-09-12 11:39:30	ga_ls8c_ard_3-1-0_113076_2019-09-12_final
2019-09-12 11:39:54	ga_ls8c_ard_3-1-0_113077_2019-09-12_final
2019-09-12 11:40:18	ga_ls8c_ard_3-1-0_113078_2019-09-12_final
2019-09-12 11:40:42	ga_ls8c_ard_3-1-0_113079_2019-09-12_final
2020-01-02 11:38:16	ga_ls8c_ard_3-1-0_113073_2020-01-02_final
2020-01-02 11:38:40	ga_ls8c_ard_3-1-0_113074_2020-01-02_final
2020-01-02 11:39:03	ga_ls8c_ard_3-1-0_113075_2020-01-02_final
2020-01-02 11:39:27	ga_ls8c_ard_3-1-0_113076_2020-01-02_final
2020-01-02 11:39:51	ga_ls8c_ard_3-1-0_113077_2020-01-02_final
2020-01-02 11:40:15	ga_ls8c_ard_3-1-0_113078_2020-01-02_final
2020-01-02 11:40:39	ga_ls8c_ard_3-1-0_113079_2020-01-02_final
2020-02-10 11:44:17	ga_ls8c_ard_3-1-0_114073_2020-02-10_final
2020-02-10 11:44:40	ga_ls8c_ard_3-1-0_114074_2020-02-10_final
2020-02-12 11:33:54	ga_ls8c_ard_3-1-0_112078_2020-02-12_final
2020-02-12 11:34:18	ga_ls8c_ard_3-1-0_112079_2020-02-12_final
2020-02-12 11:34:42	ga_ls8c_ard_3-1-0_112080_2020-02-12_final
2020-02-12 11:35:06	ga_ls8c_ard_3-1-0_112081_2020-02-12_final
2020-02-12 11:35:30	ga_ls8c_ard_3-1-0_112082_2020-02-12_final
2020-02-12 11:35:54	ga_ls8c_ard_3-1-0_112083_2020-02-12_final
2020-02-14 11:24:20	ga_ls8c_ard_3-1-0_110085_2020-02-14_final
2020-02-26 11:44:37	ga_ls8c_ard_3-1-0_114074_2020-02-26_final
2020-02-28 11:33:50	ga_ls8c_ard_3-1-0_112078_2020-02-28_final
2020-02-28 11:34:14	ga_ls8c_ard_3-1-0_112079_2020-02-28_final
2020-02-28 11:34:38	ga_ls8c_ard_3-1-0_112080_2020-02-28_final
2020-02-28 11:35:02	ga_ls8c_ard_3-1-0_112081_2020-02-28_final
2020-02-28 11:35:26	ga_ls8c_ard_3-1-0_112082_2020-02-28_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