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
2014-07-25 09:30:32	ga_ls8c_ard_3-0-0_092079_2014-07-25_final
2014-07-25 09:30:56	ga_ls8c_ard_3-0-0_092080_2014-07-25_final
2014-07-25 09:31:20	ga_ls8c_ard_3-0-0_092081_2014-07-25_final
2014-07-25 09:31:44	ga_ls8c_ard_3-0-0_092082_2014-07-25_final
2014-07-25 09:32:08	ga_ls8c_ard_3-0-0_092083_2014-07-25_final
2014-07-25 09:32:32	ga_ls8c_ard_3-0-0_092084_2014-07-25_final
2014-07-25 09:32:56	ga_ls8c_ard_3-0-0_092085_2014-07-25_final
2014-07-27 09:21:24	ga_ls8c_ard_3-0-0_090087_2014-07-26_final
2014-07-27 09:21:48	ga_ls8c_ard_3-0-0_090088_2014-07-26_final
2014-07-27 09:22:12	ga_ls8c_ard_3-0-0_090089_2014-07-26_final
2014-07-27 09:22:35	ga_ls8c_ard_3-0-0_090090_2014-07-26_final
2014-10-20 09:35:29	ga_ls8c_ard_3-0-0_093075_2014-10-20_final
2014-10-20 09:35:53	ga_ls8c_ard_3-0-0_093076_2014-10-20_final
2014-10-20 09:36:16	ga_ls8c_ard_3-0-0_093077_2014-10-20_final
2014-10-20 09:36:40	ga_ls8c_ard_3-0-0_093078_2014-10-20_final
2014-10-20 09:37:04	ga_ls8c_ard_3-0-0_093079_2014-10-20_final
2014-10-20 09:37:28	ga_ls8c_ard_3-0-0_093080_2014-10-20_final
2014-10-20 09:37:52	ga_ls8c_ard_3-0-0_093081_2014-10-20_final
2014-10-22 09:26:18	ga_ls8c_ard_3-0-0_091083_2014-10-21_final
2014-10-22 09:26:42	ga_ls8c_ard_3-0-0_091084_2014-10-21_final
2014-10-22 09:27:06	ga_ls8c_ard_3-0-0_091085_2014-10-21_final
2014-10-22 09:27:30	ga_ls8c_ard_3-0-0_091086_2014-10-21_final
2014-10-22 09:27:54	ga_ls8c_ard_3-1-0_091087_2014-10-21_final
2014-10-22 09:28:18	ga_ls8c_ard_3-0-0_091088_2014-10-21_final
2014-10-22 09:28:42	ga_ls8c_ard_3-0-0_091089_2014-10-21_final
2014-10-31 09:21:39	ga_ls8c_ard_3-0-0_090087_2014-10-30_final
2014-10-31 09:22:03	ga_ls8c_ard_3-0-0_090088_2014-10-30_final
2014-10-31 09:22:27	ga_ls8c_ard_3-0-0_090089_2014-10-30_final
2014-10-31 09:22:51	ga_ls8c_ard_3-0-0_090090_2014-10-30_final
2014-11-03 09:44:36	ga_ls8c_ard_3-0-0_095067_2014-11-03_final
2014-11-03 09:45:48	ga_ls8c_ard_3-0-0_095070_2014-11-03_final
2014-11-03 09:46:12	ga_ls8c_ard_3-0-0_095071_2014-11-03_final
2014-11-03 09:46:36	ga_ls8c_ard_3-0-0_095072_2014-11-03_final
2015-02-23 09:44:13	ga_ls8c_ard_3-0-0_095067_2015-02-23_final
2015-03-27 09:43:54	ga_ls8c_ard_3-0-0_095067_2015-03-27_final
2015-05-14 09:44:37	ga_ls8c_ard_3-0-0_095070_2015-05-14_final
2015-05-14 09:45:01	ga_ls8c_ard_3-0-0_095071_2015-05-14_final
2017-10-28 09:35:33	ga_ls8c_ard_3-0-0_093075_2017-10-28_final
2017-10-28 09:35:56	ga_ls8c_ard_3-0-0_093076_2017-10-28_final
2017-10-28 09:36:20	ga_ls8c_ard_3-0-0_093077_2017-10-28_final
2017-10-28 09:36:44	ga_ls8c_ard_3-0-0_093078_2017-10-28_final
2017-10-28 09:37:08	ga_ls8c_ard_3-0-0_093079_2017-10-28_final
2017-10-28 09:37:32	ga_ls8c_ard_3-0-0_093080_2017-10-28_final
2017-10-30 09:26:22	ga_ls8c_ard_3-0-0_091083_2017-10-29_final
2017-10-30 09:26:46	ga_ls8c_ard_3-0-0_091084_2017-10-29_final
2017-10-30 09:27:10	ga_ls8c_ard_3-0-0_091085_2017-10-29_final
2017-10-30 09:27:34	ga_ls8c_ard_3-0-0_091086_2017-10-29_final
2017-10-30 09:27:58	ga_ls8c_ard_3-0-0_091087_2017-10-29_final
2017-10-30 09:28:22	ga_ls8c_ard_3-0-0_091088_2017-10-29_final
2017-10-30 09:28:46	ga_ls8c_ard_3-0-0_091089_2017-10-29_final
2017-11-24 09:21:41	ga_ls8c_ard_3-0-0_090087_2017-11-23_final
2017-11-24 09:22:05	ga_ls8c_ard_3-0-0_090088_2017-11-23_final
2017-11-24 09:22:29	ga_ls8c_ard_3-0-0_090089_2017-11-23_final
2017-11-24 09:22:53	ga_ls8c_ard_3-0-0_090090_2017-11-23_final
2017-11-24 09:23:17	ga_ls8c_ard_3-0-0_090091_2017-11-23_final
2017-12-26 09:21:40	ga_ls8c_ard_3-0-0_090087_2017-12-25_final
2017-12-26 09:22:04	ga_ls8c_ard_3-0-0_090088_2017-12-25_final
2017-12-26 09:22:28	ga_ls8c_ard_3-0-0_090089_2017-12-25_final
2017-12-26 09:22:52	ga_ls8c_ard_3-0-0_090090_2017-12-25_final
2017-12-26 09:23:16	ga_ls8c_ard_3-0-0_090091_2017-12-25_final
2018-01-02 09:26:13	ga_ls8c_ard_3-0-0_091083_2018-01-01_final
2018-01-02 09:26:37	ga_ls8c_ard_3-0-0_091084_2018-01-01_final
2018-01-02 09:27:01	ga_ls8c_ard_3-0-0_091085_2018-01-01_final
2018-01-02 09:27:25	ga_ls8c_ard_3-0-0_091086_2018-01-01_final
2018-01-02 09:27:49	ga_ls8c_ard_3-0-0_091087_2018-01-01_final
2018-01-02 09:28:13	ga_ls8c_ard_3-0-0_091088_2018-01-01_final
2018-01-02 09:28:37	ga_ls8c_ard_3-0-0_091089_2018-01-01_final
2019-08-22 09:39:59	ga_ls8c_ard_3-1-0_094071_2019-08-22_final
2019-08-22 09:40:23	ga_ls8c_ard_3-1-0_094072_2019-08-22_final
2019-08-22 09:40:47	ga_ls8c_ard_3-1-0_094073_2019-08-22_final
2019-08-22 09:41:11	ga_ls8c_ard_3-1-0_094074_2019-08-22_final
2019-08-22 09:41:35	ga_ls8c_ard_3-1-0_094075_2019-08-22_final
2019-08-22 09:41:59	ga_ls8c_ard_3-1-0_094076_2019-08-22_final
2019-08-24 09:30:50	ga_ls8c_ard_3-1-0_092079_2019-08-24_final
2019-08-24 09:31:14	ga_ls8c_ard_3-1-0_092080_2019-08-24_final
2019-08-24 09:31:38	ga_ls8c_ard_3-1-0_092081_2019-08-24_final
2019-08-24 09:32:02	ga_ls8c_ard_3-1-0_092082_2019-08-24_final
2019-08-24 09:32:25	ga_ls8c_ard_3-1-0_092083_2019-08-24_final
2019-08-24 09:32:49	ga_ls8c_ard_3-1-0_092084_2019-08-24_final
2019-08-24 09:33:13	ga_ls8c_ard_3-1-0_092085_2019-08-24_final
2019-09-25 09:30:59	ga_ls8c_ard_3-1-0_092079_2019-09-25_final
2019-09-25 09:31:23	ga_ls8c_ard_3-1-0_092080_2019-09-25_final
2019-09-25 09:31:47	ga_ls8c_ard_3-1-0_092081_2019-09-25_final
2019-09-25 09:32:11	ga_ls8c_ard_3-1-0_092082_2019-09-25_final
2019-09-25 09:32:35	ga_ls8c_ard_3-1-0_092083_2019-09-25_final
2019-09-25 09:32:59	ga_ls8c_ard_3-1-0_092084_2019-09-25_final
2019-09-25 09:33:23	ga_ls8c_ard_3-1-0_092085_2019-09-25_final
2019-10-18 09:35:38	ga_ls8c_ard_3-1-0_093075_2019-10-18_final
2019-10-18 09:36:02	ga_ls8c_ard_3-1-0_093076_2019-10-18_final
2019-10-18 09:36:26	ga_ls8c_ard_3-1-0_093077_2019-10-18_final
2019-10-18 09:36:50	ga_ls8c_ard_3-1-0_093078_2019-10-18_final
2019-10-18 09:37:14	ga_ls8c_ard_3-1-0_093079_2019-10-18_final
2019-10-18 09:37:38	ga_ls8c_ard_3-1-0_093080_2019-10-18_final
2019-10-18 09:38:02	ga_ls8c_ard_3-1-0_093081_2019-10-18_final
2019-12-05 09:35:33	ga_ls8c_ard_3-1-0_093075_2019-12-05_final
2019-12-05 09:35:57	ga_ls8c_ard_3-1-0_093076_2019-12-05_final
2019-12-05 09:36:21	ga_ls8c_ard_3-1-0_093077_2019-12-05_final
2019-12-05 09:36:45	ga_ls8c_ard_3-1-0_093078_2019-12-05_final
2019-12-05 09:37:09	ga_ls8c_ard_3-1-0_093079_2019-12-05_final
2019-12-05 09:37:33	ga_ls8c_ard_3-1-0_093080_2019-12-05_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