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
2014-01-16 09:21:26	ga_ls8c_ard_3-0-0_090084_2014-01-15_final
2014-01-16 09:21:50	ga_ls8c_ard_3-0-0_090085_2014-01-15_final
2014-01-16 09:22:14	ga_ls8c_ard_3-0-0_090086_2014-01-15_final
2014-01-16 09:22:38	ga_ls8c_ard_3-0-0_090087_2014-01-15_final
2014-01-16 09:23:02	ga_ls8c_ard_3-0-0_090088_2014-01-15_final
2014-01-16 09:23:26	ga_ls8c_ard_3-0-0_090089_2014-01-15_final
2014-01-16 09:23:50	ga_ls8c_ard_3-0-0_090090_2014-01-15_final
2014-01-21 09:35:11	ga_ls8c_ard_3-0-0_093072_2014-01-21_final
2014-01-21 09:35:35	ga_ls8c_ard_3-0-0_093073_2014-01-21_final
2014-01-21 09:35:59	ga_ls8c_ard_3-0-0_093074_2014-01-21_final
2014-01-21 09:36:23	ga_ls8c_ard_3-0-0_093075_2014-01-21_final
2014-01-21 09:36:47	ga_ls8c_ard_3-0-0_093076_2014-01-21_final
2014-01-21 09:37:11	ga_ls8c_ard_3-0-0_093077_2014-01-21_final
2014-01-21 09:37:35	ga_ls8c_ard_3-0-0_093078_2014-01-21_final
2014-02-08 09:26:14	ga_ls8c_ard_3-0-0_091081_2014-02-07_final
2014-02-08 09:26:38	ga_ls8c_ard_3-0-0_091082_2014-02-07_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
2014-02-10 09:17:01	ga_ls8c_ard_3-0-0_089089_2014-02-09_final
2014-02-10 09:17:25	ga_ls8c_ard_3-0-0_089090_2014-02-09_final
2014-02-13 09:41:29	ga_ls8c_ard_3-0-0_094073_2014-02-13_final
2015-08-08 09:15:21	ga_ls8c_ard_3-0-0_089088_2015-08-07_final
2015-08-08 09:15:45	ga_ls8c_ard_3-0-0_089089_2015-08-07_final
2015-08-08 09:16:09	ga_ls8c_ard_3-0-0_089090_2015-08-07_final
2015-08-20 09:33:47	ga_ls8c_ard_3-0-0_093072_2015-08-20_final
2015-08-20 09:34:11	ga_ls8c_ard_3-0-0_093073_2015-08-20_final
2015-08-20 09:34:35	ga_ls8c_ard_3-0-0_093074_2015-08-20_final
2015-08-20 09:34:59	ga_ls8c_ard_3-0-0_093075_2015-08-20_final
2015-08-20 09:35:23	ga_ls8c_ard_3-0-0_093076_2015-08-20_final
2015-08-20 09:35:47	ga_ls8c_ard_3-0-0_093077_2015-08-20_final
2015-08-22 09:25:02	ga_ls8c_ard_3-0-0_091081_2015-08-21_final
2015-08-22 09:25:26	ga_ls8c_ard_3-0-0_091082_2015-08-21_final
2015-08-22 09:25:50	ga_ls8c_ard_3-0-0_091083_2015-08-21_final
2015-08-22 09:26:14	ga_ls8c_ard_3-0-0_091084_2015-08-21_final
2015-08-22 09:26:38	ga_ls8c_ard_3-0-0_091085_2015-08-21_final
2015-08-22 09:27:02	ga_ls8c_ard_3-0-0_091086_2015-08-21_final
2015-08-24 09:15:29	ga_ls8c_ard_3-0-0_089088_2015-08-23_final
2015-08-24 09:15:53	ga_ls8c_ard_3-0-0_089089_2015-08-23_final
2015-08-24 09:16:17	ga_ls8c_ard_3-0-0_089090_2015-08-23_final
2015-10-18 09:20:19	ga_ls8c_ard_3-0-0_090084_2015-10-17_final
2015-10-18 09:20:43	ga_ls8c_ard_3-0-0_090085_2015-10-17_final
2015-10-18 09:21:07	ga_ls8c_ard_3-0-0_090086_2015-10-17_final
2015-10-18 09:21:31	ga_ls8c_ard_3-0-0_090087_2015-10-17_final
2015-10-18 09:21:55	ga_ls8c_ard_3-0-0_090088_2015-10-17_final
2015-10-18 09:22:19	ga_ls8c_ard_3-0-0_090089_2015-10-17_final
2015-10-18 09:22:43	ga_ls8c_ard_3-0-0_090090_2015-10-17_final
2015-11-19 09:20:26	ga_ls8c_ard_3-0-0_090084_2015-11-18_final
2015-11-19 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-11-18_final
2015-11-19 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-11-18_final
2015-11-19 09:21:37	ga_ls8c_ard_3-0-0_090087_2015-11-18_final
2015-11-19 09:22:01	ga_ls8c_ard_3-0-0_090088_2015-11-18_final
2015-11-19 09:22:25	ga_ls8c_ard_3-0-0_090089_2015-11-18_final
2018-04-17 09:19:35	ga_ls8c_ard_3-0-0_090084_2018-04-16_final
2018-04-17 09:19:59	ga_ls8c_ard_3-0-0_090085_2018-04-16_final
2018-04-17 09:20:23	ga_ls8c_ard_3-0-0_090086_2018-04-16_final
2018-04-17 09:20:47	ga_ls8c_ard_3-0-0_090087_2018-04-16_final
2018-04-17 09:21:11	ga_ls8c_ard_3-0-0_090088_2018-04-16_final
2018-04-17 09:21:35	ga_ls8c_ard_3-0-0_090089_2018-04-16_final
2018-04-17 09:21:59	ga_ls8c_ard_3-0-0_090090_2018-04-16_final
2018-04-20 09:43:40	ga_ls8c_ard_3-0-0_095067_2018-04-20_final
2018-05-19 09:19:15	ga_ls8c_ard_3-0-0_090084_2018-05-18_final
2018-05-19 09:19:39	ga_ls8c_ard_3-0-0_090085_2018-05-18_final
2018-05-19 09:20:03	ga_ls8c_ard_3-0-0_090086_2018-05-18_final
2018-05-19 09:20:27	ga_ls8c_ard_3-0-0_090087_2018-05-18_final
2018-05-19 09:20:51	ga_ls8c_ard_3-0-0_090088_2018-05-18_final
2018-05-19 09:21:15	ga_ls8c_ard_3-0-0_090089_2018-05-18_final
2018-05-19 09:21:39	ga_ls8c_ard_3-0-0_090090_2018-05-18_final
2018-05-22 09:43:20	ga_ls8c_ard_3-0-0_095067_2018-05-22_final
2018-06-07 09:43:12	ga_ls8c_ard_3-0-0_095067_2018-06-07_final
2019-12-16 09:20:35	ga_ls8c_ard_3-2-0_090084_2019-12-15_final
2019-12-16 09:20:59	ga_ls8c_ard_3-2-0_090085_2019-12-15_final
2019-12-16 09:21:23	ga_ls8c_ard_3-2-0_090086_2019-12-15_final
2019-12-16 09:21:47	ga_ls8c_ard_3-2-0_090087_2019-12-15_final
2019-12-16 09:22:11	ga_ls8c_ard_3-2-0_090088_2019-12-15_final
2019-12-16 09:22:35	ga_ls8c_ard_3-2-0_090089_2019-12-15_final
2019-12-16 09:22:59	ga_ls8c_ard_3-2-0_090090_2019-12-15_final
2020-01-15 09:29:38	ga_ls8c_ard_3-1-0_092076_2020-01-14_final
2020-01-15 09:30:02	ga_ls8c_ard_3-1-0_092077_2020-01-15_final
2020-01-15 09:30:26	ga_ls8c_ard_3-1-0_092078_2020-01-15_final
2020-01-15 09:30:50	ga_ls8c_ard_3-1-0_092079_2020-01-15_final
2020-01-15 09:31:14	ga_ls8c_ard_3-1-0_092080_2020-01-15_final
2020-01-15 09:31:38	ga_ls8c_ard_3-1-0_092081_2020-01-15_final
2020-01-15 09:32:02	ga_ls8c_ard_3-1-0_092082_2020-01-15_final
2020-01-17 09:20:28	ga_ls8c_ard_3-1-0_090084_2020-01-16_final
2020-01-17 09:20:51	ga_ls8c_ard_3-1-0_090085_2020-01-16_final
2020-01-17 09:21:15	ga_ls8c_ard_3-1-0_090086_2020-01-16_final
2020-01-17 09:21:39	ga_ls8c_ard_3-1-0_090087_2020-01-16_final
2020-01-17 09:22:03	ga_ls8c_ard_3-1-0_090088_2020-01-16_final
2020-01-17 09:22:27	ga_ls8c_ard_3-1-0_090089_2020-01-16_final
2020-03-21 09:20:06	ga_ls8c_ard_3-1-0_090084_2020-03-20_final
2020-03-21 09:20:30	ga_ls8c_ard_3-1-0_090085_2020-03-20_final
2020-03-21 09:20:54	ga_ls8c_ard_3-1-0_090086_2020-03-20_final
2020-03-21 09:21:18	ga_ls8c_ard_3-1-0_090087_2020-03-20_final
2020-03-21 09:21:42	ga_ls8c_ard_3-1-0_090088_2020-03-20_final
2020-03-21 09:22:06	ga_ls8c_ard_3-1-0_090089_2020-03-20_final
2020-03-21 09:22:30	ga_ls8c_ard_3-1-0_090090_2020-03-20_final
2020-03-30 09:15:25	ga_ls8c_ard_3-1-0_089088_2020-03-29_final
2020-03-30 09:15:49	ga_ls8c_ard_3-1-0_089089_2020-03-29_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