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
2015-02-05 11:37:34	ga_ls8c_ard_3-0-0_113072_2015-02-05_final
2015-02-05 11:37:58	ga_ls8c_ard_3-0-0_113073_2015-02-05_final
2015-02-05 11:38:22	ga_ls8c_ard_3-0-0_113074_2015-02-05_final
2015-02-05 11:38:46	ga_ls8c_ard_3-0-0_113075_2015-02-05_final
2015-02-05 11:39:10	ga_ls8c_ard_3-0-0_113076_2015-02-05_final
2015-02-05 11:39:34	ga_ls8c_ard_3-0-0_113077_2015-02-05_final
2015-02-05 11:39:58	ga_ls8c_ard_3-0-0_113078_2015-02-05_final
2015-02-21 11:37:28	ga_ls8c_ard_3-0-0_113072_2015-02-21_final
2015-02-21 11:37:51	ga_ls8c_ard_3-0-0_113073_2015-02-21_final
2015-02-21 11:38:15	ga_ls8c_ard_3-0-0_113074_2015-02-21_final
2015-02-21 11:38:39	ga_ls8c_ard_3-0-0_113075_2015-02-21_final
2015-02-21 11:39:03	ga_ls8c_ard_3-0-0_113076_2015-02-21_final
2015-02-21 11:39:27	ga_ls8c_ard_3-0-0_113077_2015-02-21_final
2015-02-21 11:39:51	ga_ls8c_ard_3-0-0_113078_2015-02-21_final
2015-02-23 11:28:41	ga_ls8c_ard_3-0-0_111081_2015-02-23_final
2015-02-23 11:29:05	ga_ls8c_ard_3-0-0_111082_2015-02-23_final
2015-02-23 11:29:29	ga_ls8c_ard_3-0-0_111083_2015-02-23_final
2015-02-23 11:29:53	ga_ls8c_ard_3-0-0_111084_2015-02-23_final
2015-02-23 11:30:17	ga_ls8c_ard_3-0-0_111085_2015-02-23_final
2015-03-25 11:37:10	ga_ls8c_ard_3-0-0_113072_2015-03-25_final
2015-03-25 11:37:34	ga_ls8c_ard_3-0-0_113073_2015-03-25_final
2015-03-25 11:37:58	ga_ls8c_ard_3-0-0_113074_2015-03-25_final
2015-03-25 11:38:22	ga_ls8c_ard_3-0-0_113075_2015-03-25_final
2015-03-25 11:38:46	ga_ls8c_ard_3-0-0_113076_2015-03-25_final
2015-03-25 11:39:10	ga_ls8c_ard_3-0-0_113077_2015-03-25_final
2015-03-25 11:39:34	ga_ls8c_ard_3-0-0_113078_2015-03-25_final
2015-03-27 11:28:23	ga_ls8c_ard_3-0-0_111081_2015-03-27_final
2015-03-27 11:28:46	ga_ls8c_ard_3-0-0_111082_2015-03-27_final
2015-03-27 11:29:10	ga_ls8c_ard_3-0-0_111083_2015-03-27_final
2015-03-27 11:29:34	ga_ls8c_ard_3-0-0_111084_2015-03-27_final
2015-03-27 11:29:58	ga_ls8c_ard_3-0-0_111085_2015-03-27_final
2017-04-08 11:32:59	ga_ls8c_ard_3-0-0_112077_2017-04-08_final
2017-04-08 11:33:23	ga_ls8c_ard_3-0-0_112078_2017-04-08_final
2017-04-08 11:33:47	ga_ls8c_ard_3-0-0_112079_2017-04-08_final
2017-04-08 11:34:11	ga_ls8c_ard_3-0-0_112080_2017-04-08_final
2017-04-08 11:34:35	ga_ls8c_ard_3-0-0_112081_2017-04-08_final
2017-04-08 11:34:59	ga_ls8c_ard_3-0-0_112082_2017-04-08_final
2017-04-22 11:41:13	ga_ls8c_ard_3-0-0_114067_2017-04-22_final
2017-04-24 11:32:49	ga_ls8c_ard_3-0-0_112077_2017-04-24_final
2017-04-24 11:33:13	ga_ls8c_ard_3-0-0_112078_2017-04-24_final
2017-04-24 11:33:37	ga_ls8c_ard_3-0-0_112079_2017-04-24_final
2017-04-24 11:34:01	ga_ls8c_ard_3-0-0_112080_2017-04-24_final
2017-04-24 11:34:25	ga_ls8c_ard_3-0-0_112081_2017-04-24_final
2017-04-24 11:34:49	ga_ls8c_ard_3-0-0_112082_2017-04-24_final
2017-04-26 11:23:38	ga_ls8c_ard_3-0-0_110085_2017-04-26_final
2017-05-12 11:23:41	ga_ls8c_ard_3-0-0_110085_2017-05-12_final
2017-05-24 11:41:22	ga_ls8c_ard_3-0-0_114067_2017-05-24_final
2017-06-04 11:28:30	ga_ls8c_ard_3-0-0_111081_2017-06-04_final
2017-06-04 11:28:54	ga_ls8c_ard_3-0-0_111082_2017-06-04_final
2017-06-04 11:29:18	ga_ls8c_ard_3-0-0_111083_2017-06-04_final
2017-06-04 11:29:42	ga_ls8c_ard_3-0-0_111084_2017-06-04_final
2017-06-04 11:30:06	ga_ls8c_ard_3-0-0_111085_2017-06-04_final
2017-07-11 11:41:38	ga_ls8c_ard_3-0-0_114067_2017-07-11_final
2017-07-13 11:33:16	ga_ls8c_ard_3-0-0_112077_2017-07-13_final
2017-07-13 11:33:40	ga_ls8c_ard_3-0-0_112078_2017-07-13_final
2017-07-13 11:34:04	ga_ls8c_ard_3-0-0_112079_2017-07-13_final
2017-07-13 11:34:28	ga_ls8c_ard_3-0-0_112080_2017-07-13_final
2017-07-13 11:34:52	ga_ls8c_ard_3-0-0_112081_2017-07-13_final
2017-07-13 11:35:16	ga_ls8c_ard_3-0-0_112082_2017-07-13_final
2017-08-16 11:24:21	ga_ls8c_ard_3-0-0_110085_2017-08-16_final
2018-03-12 11:23:54	ga_ls8c_ard_3-0-0_110085_2018-03-12_final
2018-03-28 11:23:46	ga_ls8c_ard_3-0-0_110085_2018-03-28_final
2018-05-31 11:23:06	ga_ls8c_ard_3-0-0_110085_2018-05-31_final
2018-06-16 11:23:12	ga_ls8c_ard_3-0-0_110085_2018-06-16_final
2022-10-06 11:38:15	ga_ls8c_ard_3-2-1_113072_2022-10-06_final
2022-10-06 11:38:39	ga_ls8c_ard_3-2-1_113073_2022-10-06_final
2022-10-06 11:39:03	ga_ls8c_ard_3-2-1_113074_2022-10-06_final
2022-10-06 11:39:27	ga_ls8c_ard_3-2-1_113075_2022-10-06_final
2022-10-06 11:39:51	ga_ls8c_ard_3-2-1_113076_2022-10-06_final
2022-10-06 11:40:14	ga_ls8c_ard_3-2-1_113077_2022-10-06_final
2022-10-06 11:40:38	ga_ls8c_ard_3-2-1_113078_2022-10-06_final
2022-10-08 11:29:27	ga_ls8c_ard_3-2-1_111081_2022-10-08_final
2022-10-08 11:29:51	ga_ls8c_ard_3-2-1_111082_2022-10-08_final
2022-10-08 11:30:15	ga_ls8c_ard_3-2-1_111083_2022-10-08_final
2022-10-08 11:30:39	ga_ls8c_ard_3-2-1_111084_2022-10-08_final
2022-10-24 11:29:29	ga_ls8c_ard_3-2-1_111081_2022-10-24_final
2022-10-24 11:29:53	ga_ls8c_ard_3-2-1_111082_2022-10-24_final
2022-10-24 11:30:17	ga_ls8c_ard_3-2-1_111083_2022-10-24_final
2022-10-24 11:30:41	ga_ls8c_ard_3-2-1_111084_2022-10-24_final
2023-05-13 11:23:35	ga_ls8c_ard_3-2-1_110085_2023-05-13_final
2023-05-18 11:36:54	ga_ls8c_ard_3-2-1_113072_2023-05-18_final
2023-05-18 11:37:18	ga_ls8c_ard_3-2-1_113073_2023-05-18_final
2023-05-18 11:37:42	ga_ls8c_ard_3-2-1_113074_2023-05-18_final
2023-05-18 11:38:06	ga_ls8c_ard_3-2-1_113075_2023-05-18_final
2023-05-18 11:38:30	ga_ls8c_ard_3-2-1_113076_2023-05-18_final
2023-05-18 11:38:54	ga_ls8c_ard_3-2-1_113077_2023-05-18_final
2023-05-18 11:39:18	ga_ls8c_ard_3-2-1_113078_2023-05-18_final
2023-05-20 11:28:09	ga_ls8c_ard_3-2-1_111081_2023-05-20_final
2023-05-20 11:28:33	ga_ls8c_ard_3-2-1_111082_2023-05-20_final
2023-05-20 11:28:57	ga_ls8c_ard_3-2-1_111083_2023-05-20_final
2023-05-20 11:29:21	ga_ls8c_ard_3-2-1_111084_2023-05-20_final
2023-05-27 11:32:46	ga_ls8c_ard_3-2-1_112077_2023-05-27_final
2023-05-27 11:33:10	ga_ls8c_ard_3-2-1_112078_2023-05-27_final
2023-05-27 11:33:34	ga_ls8c_ard_3-2-1_112079_2023-05-27_final
2023-05-27 11:33:58	ga_ls8c_ard_3-2-1_112080_2023-05-27_final
2023-05-27 11:34:22	ga_ls8c_ard_3-2-1_112081_2023-05-27_final
2023-05-27 11:34:46	ga_ls8c_ard_3-2-1_112082_2023-05-27_final
2023-05-29 11:23:12	ga_ls8c_ard_3-2-1_110084_2023-05-29_final
2023-05-29 11:23:36	ga_ls8c_ard_3-2-1_110085_2023-05-29_final
2023-06-30 11:23:29	ga_ls8c_ard_3-2-1_110084_2023-06-30_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