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
2015-09-12 09:44:31	ga_ls8c_ard_3-0-0_094083_2015-09-12_final
2015-09-12 09:44:55	ga_ls8c_ard_3-0-0_094084_2015-09-12_final
2015-09-12 09:45:19	ga_ls8c_ard_3-0-0_094085_2015-09-12_final
2015-09-12 09:45:43	ga_ls8c_ard_3-0-0_094086_2015-09-12_final
2015-09-12 09:46:07	ga_ls8c_ard_3-0-0_094087_2015-09-12_final
2015-09-12 09:46:31	ga_ls8c_ard_3-0-0_094088_2015-09-12_final
2015-11-04 09:58:05	ga_ls8c_ard_3-1-0_097070_2015-11-04_final
2015-11-04 09:58:29	ga_ls8c_ard_3-0-0_097071_2015-11-04_final
2015-11-04 09:58:53	ga_ls8c_ard_3-0-0_097072_2015-11-04_final
2015-11-04 09:59:17	ga_ls8c_ard_3-0-0_097073_2015-11-04_final
2015-11-04 09:59:41	ga_ls8c_ard_3-0-0_097074_2015-11-04_final
2015-11-04 10:00:05	ga_ls8c_ard_3-0-0_097075_2015-11-04_final
2015-11-06 09:49:19	ga_ls8c_ard_3-0-0_095079_2015-11-06_final
2015-11-06 09:49:43	ga_ls8c_ard_3-0-0_095080_2015-11-06_final
2015-11-06 09:50:07	ga_ls8c_ard_3-0-0_095081_2015-11-06_final
2015-11-06 09:50:31	ga_ls8c_ard_3-0-0_095082_2015-11-06_final
2015-11-06 09:50:54	ga_ls8c_ard_3-0-0_095083_2015-11-06_final
2015-11-06 09:51:18	ga_ls8c_ard_3-0-0_095084_2015-11-06_final
2015-11-08 09:39:45	ga_ls8c_ard_3-0-0_093086_2015-11-08_final
2015-11-08 09:40:09	ga_ls8c_ard_3-0-0_093087_2015-11-08_final
2015-11-08 09:40:32	ga_ls8c_ard_3-0-0_093088_2015-11-08_final
2015-11-22 09:49:21	ga_ls8c_ard_3-0-0_095079_2015-11-22_final
2015-11-22 09:49:45	ga_ls8c_ard_3-0-0_095080_2015-11-22_final
2015-11-22 09:50:08	ga_ls8c_ard_3-0-0_095081_2015-11-22_final
2015-11-22 09:50:32	ga_ls8c_ard_3-0-0_095082_2015-11-22_final
2015-11-22 09:50:56	ga_ls8c_ard_3-0-0_095083_2015-11-22_final
2015-11-22 09:51:20	ga_ls8c_ard_3-0-0_095084_2015-11-22_final
2016-06-19 09:39:21	ga_ls8c_ard_3-0-0_093086_2016-06-19_final
2016-06-19 09:39:45	ga_ls8c_ard_3-0-0_093087_2016-06-19_final
2016-06-19 09:40:09	ga_ls8c_ard_3-0-0_093088_2016-06-19_final
2016-08-06 09:39:39	ga_ls8c_ard_3-0-0_093086_2016-08-06_final
2016-08-06 09:40:03	ga_ls8c_ard_3-0-0_093087_2016-08-06_final
2016-08-06 09:40:27	ga_ls8c_ard_3-0-0_093088_2016-08-06_final
2016-09-07 09:39:50	ga_ls8c_ard_3-0-0_093086_2016-09-07_final
2016-09-07 09:40:14	ga_ls8c_ard_3-0-0_093087_2016-09-07_final
2016-09-07 09:40:38	ga_ls8c_ard_3-0-0_093088_2016-09-07_final
2016-09-30 09:44:51	ga_ls8c_ard_3-0-0_094083_2016-09-30_final
2016-09-30 09:45:14	ga_ls8c_ard_3-0-0_094084_2016-09-30_final
2016-09-30 09:45:38	ga_ls8c_ard_3-0-0_094085_2016-09-30_final
2016-09-30 09:46:02	ga_ls8c_ard_3-0-0_094086_2016-09-30_final
2016-09-30 09:46:26	ga_ls8c_ard_3-0-0_094087_2016-09-30_final
2016-09-30 09:46:50	ga_ls8c_ard_3-0-0_094088_2016-09-30_final
2016-10-02 09:34:54	ga_ls8c_ard_3-0-0_092089_2016-10-02_final
2016-10-02 09:35:18	ga_ls8c_ard_3-0-0_092090_2016-10-02_final
2016-10-09 09:39:56	ga_ls8c_ard_3-0-0_093086_2016-10-09_final
2016-10-09 09:40:20	ga_ls8c_ard_3-0-0_093087_2016-10-09_final
2016-10-09 09:40:43	ga_ls8c_ard_3-0-0_093088_2016-10-09_final
2016-10-14 09:53:42	ga_ls8c_ard_3-0-0_096074_2016-10-14_final
2016-10-14 09:54:06	ga_ls8c_ard_3-0-0_096075_2016-10-14_final
2016-10-14 09:54:30	ga_ls8c_ard_3-0-0_096076_2016-10-14_final
2016-10-14 09:54:54	ga_ls8c_ard_3-0-0_096077_2016-10-14_final
2016-10-14 09:55:18	ga_ls8c_ard_3-0-0_096078_2016-10-14_final
2016-10-14 09:55:42	ga_ls8c_ard_3-0-0_096079_2016-10-14_final
2017-09-01 09:44:43	ga_ls8c_ard_3-0-0_094083_2017-09-01_final
2017-09-01 09:45:07	ga_ls8c_ard_3-0-0_094084_2017-09-01_final
2017-09-01 09:45:31	ga_ls8c_ard_3-0-0_094085_2017-09-01_final
2017-09-01 09:45:55	ga_ls8c_ard_3-0-0_094086_2017-09-01_final
2017-09-01 09:46:19	ga_ls8c_ard_3-0-0_094087_2017-09-01_final
2017-09-01 09:46:43	ga_ls8c_ard_3-0-0_094088_2017-09-01_final
2017-09-03 09:34:45	ga_ls8c_ard_3-0-0_092089_2017-09-03_final
2017-09-03 09:35:09	ga_ls8c_ard_3-0-0_092090_2017-09-03_final
2017-09-10 09:39:44	ga_ls8c_ard_3-0-0_093086_2017-09-10_final
2017-09-10 09:40:08	ga_ls8c_ard_3-0-0_093087_2017-09-10_final
2017-09-10 09:40:32	ga_ls8c_ard_3-0-0_093088_2017-09-10_final
2020-02-17 10:08:45	ga_ls8c_ard_3-2-1_099066_2020-02-17_final
2020-03-13 10:02:26	ga_ls8c_ard_3-2-1_098066_2020-03-13_final
2020-03-13 10:02:50	ga_ls8c_ard_3-1-0_098067_2020-03-13_final
2020-03-13 10:03:13	ga_ls8c_ard_3-1-0_098068_2020-03-13_final
2020-03-13 10:03:37	ga_ls8c_ard_3-1-0_098069_2020-03-13_final
2020-03-13 10:04:01	ga_ls8c_ard_3-1-0_098070_2020-03-13_final
2020-06-05 09:44:09	ga_ls8c_ard_3-1-0_094083_2020-06-05_final
2020-06-05 09:44:33	ga_ls8c_ard_3-1-0_094084_2020-06-05_final
2020-06-05 09:44:57	ga_ls8c_ard_3-1-0_094085_2020-06-05_final
2020-06-05 09:45:21	ga_ls8c_ard_3-1-0_094086_2020-06-05_final
2020-06-05 09:45:45	ga_ls8c_ard_3-1-0_094087_2020-06-05_final
2020-06-05 09:46:09	ga_ls8c_ard_3-1-0_094088_2020-06-05_final
2020-06-07 09:34:13	ga_ls8c_ard_3-1-0_092089_2020-06-07_final
2020-06-07 09:34:37	ga_ls8c_ard_3-1-0_092090_2020-06-07_final
2020-06-21 09:44:19	ga_ls8c_ard_3-1-0_094083_2020-06-21_final
2020-06-21 09:44:43	ga_ls8c_ard_3-1-0_094084_2020-06-21_final
2020-06-21 09:45:07	ga_ls8c_ard_3-1-0_094085_2020-06-21_final
2020-06-21 09:45:31	ga_ls8c_ard_3-1-0_094086_2020-06-21_final
2020-06-21 09:45:54	ga_ls8c_ard_3-1-0_094087_2020-06-21_final
2020-06-21 09:46:18	ga_ls8c_ard_3-1-0_094088_2020-06-21_final
2020-06-23 09:34:22	ga_ls8c_ard_3-1-0_092089_2020-06-23_final
2020-06-23 09:34:46	ga_ls8c_ard_3-1-0_092090_2020-06-23_final
2020-07-07 09:44:26	ga_ls8c_ard_3-1-0_094083_2020-07-07_final
2020-07-07 09:44:50	ga_ls8c_ard_3-1-0_094084_2020-07-07_final
2020-07-07 09:45:14	ga_ls8c_ard_3-1-0_094085_2020-07-07_final
2020-07-07 09:45:38	ga_ls8c_ard_3-1-0_094086_2020-07-07_final
2020-07-07 09:46:02	ga_ls8c_ard_3-1-0_094087_2020-07-07_final
2020-07-07 09:46:26	ga_ls8c_ard_3-1-0_094088_2020-07-07_final
2020-08-15 09:49:12	ga_ls8c_ard_3-1-0_095079_2020-08-15_final
2020-08-15 09:49:36	ga_ls8c_ard_3-1-0_095080_2020-08-15_final
2020-08-15 09:50:00	ga_ls8c_ard_3-1-0_095081_2020-08-15_final
2020-08-15 09:50:24	ga_ls8c_ard_3-1-0_095082_2020-08-15_final
2020-08-15 09:50:48	ga_ls8c_ard_3-1-0_095083_2020-08-15_final
2020-08-15 09:51:12	ga_ls8c_ard_3-1-0_095084_2020-08-15_final
2020-08-17 09:39:39	ga_ls8c_ard_3-1-0_093086_2020-08-17_final
2020-08-17 09:40:03	ga_ls8c_ard_3-1-0_093087_2020-08-17_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