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
2015-02-14 11:33:40	ga_ls8c_ard_3-0-0_112078_2015-02-14_final
2015-02-14 11:34:04	ga_ls8c_ard_3-0-0_112079_2015-02-14_final
2015-02-14 11:34:28	ga_ls8c_ard_3-0-0_112080_2015-02-14_final
2015-02-14 11:34:51	ga_ls8c_ard_3-0-0_112081_2015-02-14_final
2015-02-14 11:35:15	ga_ls8c_ard_3-0-0_112082_2015-02-14_final
2015-02-14 11:35:39	ga_ls8c_ard_3-0-0_112083_2015-02-14_final
2015-04-17 11:44:01	ga_ls8c_ard_3-0-0_114074_2015-04-17_final
2015-04-19 11:33:14	ga_ls8c_ard_3-0-0_112078_2015-04-19_final
2015-04-19 11:33:38	ga_ls8c_ard_3-0-0_112079_2015-04-19_final
2015-04-19 11:34:02	ga_ls8c_ard_3-0-0_112080_2015-04-19_final
2015-04-19 11:34:26	ga_ls8c_ard_3-0-0_112081_2015-04-19_final
2015-04-19 11:34:50	ga_ls8c_ard_3-0-0_112082_2015-04-19_final
2015-04-19 11:35:14	ga_ls8c_ard_3-0-0_112083_2015-04-19_final
2018-04-02 11:37:29	ga_ls8c_ard_3-0-0_113073_2018-04-02_final
2018-04-02 11:37:53	ga_ls8c_ard_3-0-0_113074_2018-04-02_final
2018-04-02 11:38:17	ga_ls8c_ard_3-0-0_113075_2018-04-02_final
2018-04-02 11:38:41	ga_ls8c_ard_3-0-0_113076_2018-04-02_final
2018-04-02 11:39:05	ga_ls8c_ard_3-0-0_113077_2018-04-02_final
2018-04-02 11:39:29	ga_ls8c_ard_3-0-0_113078_2018-04-02_final
2018-04-02 11:39:53	ga_ls8c_ard_3-0-0_113079_2018-04-02_final
2018-04-04 11:28:42	ga_ls8c_ard_3-0-0_111082_2018-04-04_final
2018-04-04 11:29:06	ga_ls8c_ard_3-0-0_111083_2018-04-04_final
2018-04-04 11:29:30	ga_ls8c_ard_3-0-0_111084_2018-04-04_final
2018-04-04 11:29:54	ga_ls8c_ard_3-0-0_111085_2018-04-04_final
2018-04-09 11:44:00	ga_ls8c_ard_3-0-0_114074_2018-04-09_final
2018-04-11 11:33:13	ga_ls8c_ard_3-0-0_112078_2018-04-11_final
2018-04-11 11:33:37	ga_ls8c_ard_3-0-0_112079_2018-04-11_final
2018-04-11 11:34:01	ga_ls8c_ard_3-0-0_112080_2018-04-11_final
2018-04-11 11:34:25	ga_ls8c_ard_3-0-0_112081_2018-04-11_final
2018-04-11 11:34:49	ga_ls8c_ard_3-0-0_112082_2018-04-11_final
2018-04-11 11:35:13	ga_ls8c_ard_3-0-0_112083_2018-04-11_final
2018-04-18 11:37:20	ga_ls8c_ard_3-0-0_113073_2018-04-18_final
2018-04-18 11:37:44	ga_ls8c_ard_3-0-0_113074_2018-04-18_final
2018-04-18 11:38:08	ga_ls8c_ard_3-0-0_113075_2018-04-18_final
2018-04-18 11:38:32	ga_ls8c_ard_3-0-0_113076_2018-04-18_final
2018-04-18 11:38:56	ga_ls8c_ard_3-0-0_113077_2018-04-18_final
2018-04-18 11:39:19	ga_ls8c_ard_3-0-0_113078_2018-04-18_final
2018-04-18 11:39:43	ga_ls8c_ard_3-0-0_113079_2018-04-18_final
2018-04-20 11:28:32	ga_ls8c_ard_3-0-0_111082_2018-04-20_final
2018-04-20 11:28:56	ga_ls8c_ard_3-0-0_111083_2018-04-20_final
2018-04-20 11:29:20	ga_ls8c_ard_3-0-0_111084_2018-04-20_final
2018-04-20 11:29:44	ga_ls8c_ard_3-0-0_111085_2018-04-20_final
2018-05-06 11:28:24	ga_ls8c_ard_3-0-0_111082_2018-05-06_final
2018-05-06 11:28:48	ga_ls8c_ard_3-0-0_111083_2018-05-06_final
2018-05-06 11:29:12	ga_ls8c_ard_3-0-0_111084_2018-05-06_final
2018-05-06 11:29:36	ga_ls8c_ard_3-0-0_111085_2018-05-06_final
2018-05-27 11:43:29	ga_ls8c_ard_3-0-0_114074_2018-05-27_final
2018-05-29 11:32:41	ga_ls8c_ard_3-0-0_112078_2018-05-29_final
2018-05-29 11:33:05	ga_ls8c_ard_3-0-0_112079_2018-05-29_final
2018-05-29 11:33:29	ga_ls8c_ard_3-0-0_112080_2018-05-29_final
2018-05-29 11:33:53	ga_ls8c_ard_3-0-0_112081_2018-05-29_final
2018-05-29 11:34:17	ga_ls8c_ard_3-0-0_112082_2018-05-29_final
2018-05-29 11:34:41	ga_ls8c_ard_3-0-0_112083_2018-05-29_final
2018-06-14 11:32:44	ga_ls8c_ard_3-0-0_112078_2018-06-14_final
2018-06-14 11:33:08	ga_ls8c_ard_3-0-0_112079_2018-06-14_final
2018-06-14 11:33:32	ga_ls8c_ard_3-0-0_112080_2018-06-14_final
2018-06-14 11:33:56	ga_ls8c_ard_3-0-0_112081_2018-06-14_final
2018-06-14 11:34:20	ga_ls8c_ard_3-0-0_112082_2018-06-14_final
2018-06-14 11:34:44	ga_ls8c_ard_3-0-0_112083_2018-06-14_final
2018-06-28 11:43:39	ga_ls8c_ard_3-0-0_114074_2018-06-28_final
2018-06-30 11:32:54	ga_ls8c_ard_3-0-0_112078_2018-06-30_final
2018-06-30 11:33:18	ga_ls8c_ard_3-0-0_112079_2018-06-30_final
2018-06-30 11:33:42	ga_ls8c_ard_3-0-0_112080_2018-06-30_final
2018-06-30 11:34:06	ga_ls8c_ard_3-0-0_112081_2018-06-30_final
2018-06-30 11:34:30	ga_ls8c_ard_3-0-0_112082_2018-06-30_final
2018-06-30 11:34:54	ga_ls8c_ard_3-0-0_112083_2018-06-30_final
2018-11-03 11:44:33	ga_ls8c_ard_3-0-0_114074_2018-11-03_final
2018-11-05 11:33:47	ga_ls8c_ard_3-0-0_112078_2018-11-05_final
2018-11-05 11:34:11	ga_ls8c_ard_3-0-0_112079_2018-11-05_final
2018-11-05 11:34:35	ga_ls8c_ard_3-0-0_112080_2018-11-05_final
2018-11-05 11:34:59	ga_ls8c_ard_3-0-0_112081_2018-11-05_final
2018-11-05 11:35:23	ga_ls8c_ard_3-0-0_112082_2018-11-05_final
2018-11-05 11:35:47	ga_ls8c_ard_3-0-0_112083_2018-11-05_final
2018-11-28 11:37:58	ga_ls8c_ard_3-1-0_113073_2018-11-28_final
2018-11-28 11:38:22	ga_ls8c_ard_3-0-0_113074_2018-11-28_final
2018-11-28 11:38:46	ga_ls8c_ard_3-0-0_113075_2018-11-28_final
2018-11-28 11:39:10	ga_ls8c_ard_3-0-0_113076_2018-11-28_final
2018-11-28 11:39:34	ga_ls8c_ard_3-0-0_113077_2018-11-28_final
2018-11-28 11:39:58	ga_ls8c_ard_3-0-0_113078_2018-11-28_final
2018-11-28 11:40:22	ga_ls8c_ard_3-0-0_113079_2018-11-28_final
2018-11-30 11:29:12	ga_ls8c_ard_3-0-0_111082_2018-11-30_final
2018-11-30 11:29:36	ga_ls8c_ard_3-0-0_111083_2018-11-30_final
2018-11-30 11:30:00	ga_ls8c_ard_3-0-0_111084_2018-11-30_final
2018-11-30 11:30:24	ga_ls8c_ard_3-0-0_111085_2018-11-30_final
2018-12-30 11:37:55	ga_ls8c_ard_3-1-0_113073_2018-12-30_final
2018-12-30 11:38:19	ga_ls8c_ard_3-0-0_113074_2018-12-30_final
2018-12-30 11:38:43	ga_ls8c_ard_3-0-0_113075_2018-12-30_final
2018-12-30 11:39:07	ga_ls8c_ard_3-0-0_113076_2018-12-30_final
2018-12-30 11:39:31	ga_ls8c_ard_3-0-0_113077_2018-12-30_final
2018-12-30 11:39:55	ga_ls8c_ard_3-0-0_113078_2018-12-30_final
2018-12-30 11:40:19	ga_ls8c_ard_3-0-0_113079_2018-12-30_final
2019-01-01 11:29:09	ga_ls8c_ard_3-0-0_111082_2019-01-01_final
2019-01-01 11:29:33	ga_ls8c_ard_3-0-0_111083_2019-01-01_final
2019-01-01 11:29:57	ga_ls8c_ard_3-0-0_111084_2019-01-01_final
2019-01-01 11:30:21	ga_ls8c_ard_3-0-0_111085_2019-01-01_final
2022-05-08 11:33:44	ga_ls8c_ard_3-2-1_112078_2022-05-08_final
2022-05-08 11:34:08	ga_ls8c_ard_3-2-1_112079_2022-05-08_final
2022-05-08 11:34:32	ga_ls8c_ard_3-2-1_112080_2022-05-08_final
2022-05-08 11:34:56	ga_ls8c_ard_3-2-1_112081_2022-05-08_final
2022-05-08 11:35:20	ga_ls8c_ard_3-2-1_112082_2022-05-08_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