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
2013-04-26 09:27:49	ga_ls8c_ard_3-0-0_091083_2013-04-25_final
2013-04-26 09:28:13	ga_ls8c_ard_3-0-0_091084_2013-04-25_final
2013-04-26 09:28:37	ga_ls8c_ard_3-0-0_091085_2013-04-25_final
2013-04-26 09:29:01	ga_ls8c_ard_3-0-0_091086_2013-04-25_final
2013-04-26 09:29:25	ga_ls8c_ard_3-0-0_091087_2013-04-25_final
2013-07-01 09:18:28	ga_ls8c_ard_3-0-0_089090_2013-06-30_final
2013-07-02 09:52:34	ga_ls8c_ard_3-0-0_096067_2013-07-02_final
2013-07-04 09:42:36	ga_ls8c_ard_3-0-0_094073_2013-07-04_final
2013-07-04 09:43:00	ga_ls8c_ard_3-0-0_094074_2013-07-04_final
2013-07-04 09:43:24	ga_ls8c_ard_3-0-0_094075_2013-07-04_final
2013-07-04 09:43:48	ga_ls8c_ard_3-0-0_094076_2013-07-04_final
2013-09-15 09:37:13	ga_ls8c_ard_3-0-0_093075_2013-09-15_final
2013-09-15 09:37:37	ga_ls8c_ard_3-0-0_093076_2013-09-15_final
2013-09-15 09:38:01	ga_ls8c_ard_3-0-0_093077_2013-09-15_final
2013-09-15 09:38:25	ga_ls8c_ard_3-0-0_093078_2013-09-15_final
2013-09-15 09:38:49	ga_ls8c_ard_3-0-0_093079_2013-09-15_final
2013-09-15 09:39:13	ga_ls8c_ard_3-0-0_093080_2013-09-15_final
2013-09-15 09:39:37	ga_ls8c_ard_3-0-0_093081_2013-09-15_final
2013-11-13 09:23:13	ga_ls8c_ard_3-0-0_090087_2013-11-12_final
2013-11-13 09:23:36	ga_ls8c_ard_3-0-0_090088_2013-11-12_final
2013-11-13 09:24:00	ga_ls8c_ard_3-0-0_090089_2013-11-12_final
2014-02-08 09:27:02	ga_ls8c_ard_3-0-0_091083_2014-02-07_final
2014-02-08 09:27:26	ga_ls8c_ard_3-0-0_091084_2014-02-07_final
2014-02-08 09:27:50	ga_ls8c_ard_3-0-0_091085_2014-02-07_final
2014-02-08 09:28:14	ga_ls8c_ard_3-0-0_091086_2014-02-07_final
2014-02-08 09:28:38	ga_ls8c_ard_3-0-0_091087_2014-02-07_final
2014-02-08 09:29:02	ga_ls8c_ard_3-0-0_091088_2014-02-07_final
2014-02-08 09:29:26	ga_ls8c_ard_3-0-0_091089_2014-02-07_final
2014-02-10 09:17:25	ga_ls8c_ard_3-0-0_089090_2014-02-09_final
2014-02-11 09:51:29	ga_ls8c_ard_3-0-0_096067_2014-02-11_final
2014-02-13 09:41:29	ga_ls8c_ard_3-0-0_094073_2014-02-13_final
2014-02-13 09:41:53	ga_ls8c_ard_3-0-0_094074_2014-02-13_final
2014-02-13 09:42:17	ga_ls8c_ard_3-0-0_094075_2014-02-13_final
2014-02-13 09:42:40	ga_ls8c_ard_3-0-0_094076_2014-02-13_final
2014-05-13 09:34:49	ga_ls8c_ard_3-0-0_093075_2014-05-13_final
2014-05-13 09:35:13	ga_ls8c_ard_3-0-0_093076_2014-05-13_final
2014-05-13 09:35:37	ga_ls8c_ard_3-0-0_093077_2014-05-13_final
2014-05-13 09:36:01	ga_ls8c_ard_3-0-0_093078_2014-05-13_final
2014-05-13 09:36:25	ga_ls8c_ard_3-0-0_093079_2014-05-13_final
2014-05-13 09:36:49	ga_ls8c_ard_3-0-0_093080_2014-05-13_final
2014-05-13 09:37:13	ga_ls8c_ard_3-0-0_093081_2014-05-13_final
2014-05-15 09:25:37	ga_ls8c_ard_3-0-0_091083_2014-05-14_final
2014-05-15 09:26:01	ga_ls8c_ard_3-0-0_091084_2014-05-14_final
2014-05-15 09:26:25	ga_ls8c_ard_3-0-0_091085_2014-05-14_final
2014-05-15 09:26:49	ga_ls8c_ard_3-0-0_091086_2014-05-14_final
2014-05-15 09:27:13	ga_ls8c_ard_3-0-0_091087_2014-05-14_final
2014-05-15 09:27:37	ga_ls8c_ard_3-0-0_091088_2014-05-14_final
2014-05-15 09:28:01	ga_ls8c_ard_3-0-0_091089_2014-05-14_final
2014-05-17 09:16:02	ga_ls8c_ard_3-0-0_089090_2014-05-16_final
2015-03-22 09:30:13	ga_ls8c_ard_3-0-0_092079_2015-03-22_final
2015-03-24 09:21:01	ga_ls8c_ard_3-0-0_090087_2015-03-23_final
2015-03-24 09:21:25	ga_ls8c_ard_3-0-0_090088_2015-03-23_final
2015-03-24 09:21:49	ga_ls8c_ard_3-0-0_090089_2015-03-23_final
2015-03-24 09:22:13	ga_ls8c_ard_3-0-0_090090_2015-03-23_final
2015-04-09 09:20:52	ga_ls8c_ard_3-0-0_090087_2015-04-08_final
2015-04-09 09:21:16	ga_ls8c_ard_3-0-0_090088_2015-04-08_final
2015-04-09 09:21:40	ga_ls8c_ard_3-0-0_090089_2015-04-08_final
2015-04-09 09:22:04	ga_ls8c_ard_3-0-0_090090_2015-04-08_final
2018-03-09 09:16:08	ga_ls8c_ard_3-0-0_089090_2018-03-08_final
2018-03-10 09:50:12	ga_ls8c_ard_3-0-0_096067_2018-03-10_final
2018-04-13 09:39:10	ga_ls8c_ard_3-0-0_094071_2018-04-13_final
2018-04-13 09:39:34	ga_ls8c_ard_3-0-0_094072_2018-04-13_final
2018-04-13 09:39:58	ga_ls8c_ard_3-0-0_094073_2018-04-13_final
2018-04-13 09:40:21	ga_ls8c_ard_3-0-0_094074_2018-04-13_final
2018-04-13 09:40:45	ga_ls8c_ard_3-0-0_094075_2018-04-13_final
2018-04-13 09:41:09	ga_ls8c_ard_3-0-0_094076_2018-04-13_final
2018-04-15 09:30:22	ga_ls8c_ard_3-0-0_092080_2018-04-15_final
2018-04-15 09:30:46	ga_ls8c_ard_3-0-0_092081_2018-04-15_final
2018-04-15 09:31:10	ga_ls8c_ard_3-0-0_092082_2018-04-15_final
2018-04-15 09:31:34	ga_ls8c_ard_3-0-0_092083_2018-04-15_final
2018-04-15 09:31:58	ga_ls8c_ard_3-0-0_092084_2018-04-15_final
2018-04-15 09:32:22	ga_ls8c_ard_3-0-0_092085_2018-04-15_final
2018-05-29 09:49:25	ga_ls8c_ard_3-0-0_096067_2018-05-29_final
2018-06-02 09:29:27	ga_ls8c_ard_3-0-0_092079_2018-06-01_final
2018-06-02 09:29:50	ga_ls8c_ard_3-0-0_092080_2018-06-01_final
2018-06-02 09:30:14	ga_ls8c_ard_3-0-0_092081_2018-06-02_final
2018-06-02 09:30:38	ga_ls8c_ard_3-0-0_092082_2018-06-02_final
2018-06-02 09:31:02	ga_ls8c_ard_3-0-0_092083_2018-06-02_final
2018-06-02 09:31:26	ga_ls8c_ard_3-0-0_092084_2018-06-02_final
2018-06-02 09:31:50	ga_ls8c_ard_3-0-0_092085_2018-06-02_final
2019-07-21 09:39:48	ga_ls8c_ard_3-1-0_094071_2019-07-21_final
2019-07-21 09:40:12	ga_ls8c_ard_3-1-0_094072_2019-07-21_final
2019-07-21 09:40:35	ga_ls8c_ard_3-1-0_094073_2019-07-21_final
2019-07-21 09:40:59	ga_ls8c_ard_3-1-0_094074_2019-07-21_final
2019-07-21 09:41:23	ga_ls8c_ard_3-1-0_094075_2019-07-21_final
2019-07-21 09:41:47	ga_ls8c_ard_3-1-0_094076_2019-07-21_final
2019-07-23 09:30:38	ga_ls8c_ard_3-1-0_092079_2019-07-23_final
2019-07-23 09:31:02	ga_ls8c_ard_3-1-0_092080_2019-07-23_final
2019-07-23 09:31:26	ga_ls8c_ard_3-1-0_092081_2019-07-23_final
2019-07-23 09:31:50	ga_ls8c_ard_3-1-0_092082_2019-07-23_final
2019-07-23 09:32:14	ga_ls8c_ard_3-1-0_092083_2019-07-23_final
2019-07-23 09:32:38	ga_ls8c_ard_3-1-0_092084_2019-07-23_final
2019-07-23 09:33:02	ga_ls8c_ard_3-1-0_092085_2019-07-23_final
2019-08-03 09:16:34	ga_ls8c_ard_3-1-0_089090_2019-08-02_final
2019-08-04 09:50:40	ga_ls8c_ard_3-1-0_096067_2019-08-04_final
2019-11-24 09:50:54	ga_ls8c_ard_3-1-0_096067_2019-11-24_final
2019-11-30 09:21:49	ga_ls8c_ard_3-1-0_090087_2019-11-29_final
2019-11-30 09:22:12	ga_ls8c_ard_3-1-0_090088_2019-11-29_final
2019-11-30 09:22:36	ga_ls8c_ard_3-1-0_090089_2019-11-29_final
2019-11-30 09:23:00	ga_ls8c_ard_3-1-0_090090_2019-11-29_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