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
2013-11-18 09:36:54	ga_ls8c_ard_3-1-0_093075_2013-11-18_final
2013-11-18 09:37:18	ga_ls8c_ard_3-0-0_093076_2013-11-18_final
2013-11-18 09:37:42	ga_ls8c_ard_3-0-0_093077_2013-11-18_final
2013-11-18 09:38:06	ga_ls8c_ard_3-0-0_093078_2013-11-18_final
2013-11-18 09:38:30	ga_ls8c_ard_3-0-0_093079_2013-11-18_final
2013-11-18 09:38:54	ga_ls8c_ard_3-0-0_093080_2013-11-18_final
2013-11-20 09:27:42	ga_ls8c_ard_3-0-0_091083_2013-11-19_final
2013-11-20 09:28:06	ga_ls8c_ard_3-0-0_091084_2013-11-19_final
2013-11-20 09:28:30	ga_ls8c_ard_3-0-0_091085_2013-11-19_final
2013-11-20 09:28:54	ga_ls8c_ard_3-0-0_091086_2013-11-19_final
2013-12-08 09:18:07	ga_ls8c_ard_3-0-0_089090_2013-12-07_final
2014-03-19 09:31:06	ga_ls8c_ard_3-0-0_092079_2014-03-19_final
2014-03-19 09:31:30	ga_ls8c_ard_3-0-0_092080_2014-03-19_final
2014-03-19 09:31:54	ga_ls8c_ard_3-0-0_092081_2014-03-19_final
2014-03-19 09:32:18	ga_ls8c_ard_3-0-0_092082_2014-03-19_final
2014-03-19 09:32:42	ga_ls8c_ard_3-0-0_092083_2014-03-19_final
2014-03-19 09:33:06	ga_ls8c_ard_3-0-0_092084_2014-03-19_final
2014-03-21 09:21:30	ga_ls8c_ard_3-0-0_090086_2014-03-20_final
2014-03-21 09:21:54	ga_ls8c_ard_3-0-0_090087_2014-03-20_final
2014-03-21 09:22:18	ga_ls8c_ard_3-0-0_090088_2014-03-20_final
2014-03-21 09:22:42	ga_ls8c_ard_3-0-0_090089_2014-03-20_final
2014-06-23 09:30:22	ga_ls8c_ard_3-0-0_092079_2014-06-23_final
2014-06-23 09:30:46	ga_ls8c_ard_3-0-0_092080_2014-06-23_final
2014-06-23 09:31:10	ga_ls8c_ard_3-0-0_092081_2014-06-23_final
2014-06-23 09:31:34	ga_ls8c_ard_3-0-0_092082_2014-06-23_final
2014-06-23 09:31:58	ga_ls8c_ard_3-0-0_092083_2014-06-23_final
2014-06-23 09:32:22	ga_ls8c_ard_3-0-0_092084_2014-06-23_final
2014-06-25 09:20:48	ga_ls8c_ard_3-0-0_090086_2014-06-24_final
2014-06-25 09:21:12	ga_ls8c_ard_3-0-0_090087_2014-06-24_final
2014-06-25 09:21:36	ga_ls8c_ard_3-0-0_090088_2014-06-24_final
2014-06-25 09:22:00	ga_ls8c_ard_3-0-0_090089_2014-06-24_final
2014-06-25 09:22:24	ga_ls8c_ard_3-0-0_090090_2014-06-24_final
2015-09-21 09:34:49	ga_ls8c_ard_3-0-0_093074_2015-09-21_final
2015-09-21 09:35:13	ga_ls8c_ard_3-0-0_093075_2015-09-21_final
2015-09-21 09:35:37	ga_ls8c_ard_3-0-0_093076_2015-09-21_final
2015-09-21 09:36:01	ga_ls8c_ard_3-0-0_093077_2015-09-21_final
2015-09-21 09:36:25	ga_ls8c_ard_3-0-0_093078_2015-09-21_final
2015-09-21 09:36:49	ga_ls8c_ard_3-0-0_093079_2015-09-21_final
2015-09-21 09:37:12	ga_ls8c_ard_3-0-0_093080_2015-09-21_final
2015-09-23 09:26:03	ga_ls8c_ard_3-0-0_091083_2015-09-22_final
2015-09-23 09:26:27	ga_ls8c_ard_3-0-0_091084_2015-09-22_final
2015-09-23 09:26:51	ga_ls8c_ard_3-0-0_091085_2015-09-22_final
2015-09-23 09:27:15	ga_ls8c_ard_3-0-0_091086_2015-09-22_final
2015-09-23 09:27:39	ga_ls8c_ard_3-0-0_091087_2015-09-22_final
2015-09-23 09:28:03	ga_ls8c_ard_3-0-0_091088_2015-09-22_final
2015-11-24 09:34:59	ga_ls8c_ard_3-0-0_093074_2015-11-24_final
2015-11-24 09:35:23	ga_ls8c_ard_3-0-0_093075_2015-11-24_final
2015-11-24 09:35:47	ga_ls8c_ard_3-0-0_093076_2015-11-24_final
2015-11-24 09:36:11	ga_ls8c_ard_3-0-0_093077_2015-11-24_final
2015-11-24 09:36:35	ga_ls8c_ard_3-0-0_093078_2015-11-24_final
2015-11-24 09:36:59	ga_ls8c_ard_3-0-0_093079_2015-11-24_final
2015-11-24 09:37:23	ga_ls8c_ard_3-0-0_093080_2015-11-24_final
2015-11-26 09:26:13	ga_ls8c_ard_3-0-0_091083_2015-11-25_final
2015-11-26 09:26:37	ga_ls8c_ard_3-0-0_091084_2015-11-25_final
2015-11-26 09:27:01	ga_ls8c_ard_3-0-0_091085_2015-11-25_final
2015-11-26 09:27:25	ga_ls8c_ard_3-0-0_091086_2015-11-25_final
2015-11-26 09:27:49	ga_ls8c_ard_3-0-0_091087_2015-11-25_final
2015-11-26 09:28:13	ga_ls8c_ard_3-0-0_091088_2015-11-25_final
2017-12-22 09:40:01	ga_ls8c_ard_3-0-0_094071_2017-12-22_final
2017-12-22 09:40:25	ga_ls8c_ard_3-0-0_094072_2017-12-22_final
2017-12-22 09:40:49	ga_ls8c_ard_3-0-0_094073_2017-12-22_final
2017-12-22 09:41:13	ga_ls8c_ard_3-0-0_094074_2017-12-22_final
2017-12-22 09:41:37	ga_ls8c_ard_3-0-0_094075_2017-12-22_final
2017-12-24 09:30:51	ga_ls8c_ard_3-0-0_092079_2017-12-24_final
2017-12-24 09:31:15	ga_ls8c_ard_3-0-0_092080_2017-12-24_final
2017-12-24 09:31:39	ga_ls8c_ard_3-0-0_092081_2017-12-24_final
2017-12-24 09:32:03	ga_ls8c_ard_3-0-0_092082_2017-12-24_final
2017-12-24 09:32:27	ga_ls8c_ard_3-0-0_092083_2017-12-24_final
2017-12-24 09:32:51	ga_ls8c_ard_3-0-0_092084_2017-12-24_final
2018-03-12 09:39:25	ga_ls8c_ard_3-0-0_094071_2018-03-12_final
2018-03-12 09:39:49	ga_ls8c_ard_3-0-0_094072_2018-03-12_final
2018-03-12 09:40:13	ga_ls8c_ard_3-0-0_094073_2018-03-12_final
2018-03-12 09:40:37	ga_ls8c_ard_3-0-0_094074_2018-03-12_final
2018-03-12 09:41:01	ga_ls8c_ard_3-0-0_094075_2018-03-12_final
2018-03-12 09:41:25	ga_ls8c_ard_3-0-0_094076_2018-03-12_final
2018-05-15 09:38:50	ga_ls8c_ard_3-0-0_094071_2018-05-15_final
2018-05-15 09:39:14	ga_ls8c_ard_3-0-0_094072_2018-05-15_final
2018-05-15 09:39:38	ga_ls8c_ard_3-0-0_094073_2018-05-15_final
2018-05-15 09:40:02	ga_ls8c_ard_3-0-0_094074_2018-05-15_final
2018-05-15 09:40:26	ga_ls8c_ard_3-0-0_094075_2018-05-15_final
2018-05-17 09:29:39	ga_ls8c_ard_3-0-0_092079_2018-05-16_final
2018-05-17 09:30:03	ga_ls8c_ard_3-0-0_092080_2018-05-17_final
2018-05-17 09:30:27	ga_ls8c_ard_3-0-0_092081_2018-05-17_final
2018-05-17 09:30:51	ga_ls8c_ard_3-0-0_092082_2018-05-17_final
2018-05-17 09:31:15	ga_ls8c_ard_3-0-0_092083_2018-05-17_final
2018-05-17 09:31:39	ga_ls8c_ard_3-0-0_092084_2018-05-17_final
2018-07-04 09:29:44	ga_ls8c_ard_3-0-0_092079_2018-07-03_final
2018-07-04 09:30:08	ga_ls8c_ard_3-0-0_092080_2018-07-04_final
2018-07-04 09:30:32	ga_ls8c_ard_3-0-0_092081_2018-07-04_final
2018-07-04 09:30:56	ga_ls8c_ard_3-0-0_092082_2018-07-04_final
2018-07-04 09:31:20	ga_ls8c_ard_3-0-0_092083_2018-07-04_final
2018-07-04 09:31:44	ga_ls8c_ard_3-0-0_092084_2018-07-04_final
2020-03-12 09:25:57	ga_ls8c_ard_3-1-0_091083_2020-03-11_final
2020-03-12 09:26:21	ga_ls8c_ard_3-1-0_091084_2020-03-11_final
2020-03-12 09:26:45	ga_ls8c_ard_3-1-0_091085_2020-03-11_final
2020-03-12 09:27:09	ga_ls8c_ard_3-1-0_091086_2020-03-11_final
2020-03-12 09:27:33	ga_ls8c_ard_3-1-0_091087_2020-03-11_final
2020-03-12 09:27:57	ga_ls8c_ard_3-1-0_091088_2020-03-11_final
2020-03-14 09:16:22	ga_ls8c_ard_3-1-0_089090_2020-03-13_final
2020-05-17 09:15:32	ga_ls8c_ard_3-1-0_089089_2020-05-16_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