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
2013-09-15 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
2013-09-17 09:28:02	ga_ls8c_ard_3-0-0_091083_2013-09-16_final
2013-09-17 09:28:26	ga_ls8c_ard_3-0-0_091084_2013-09-16_final
2013-09-17 09:30:26	ga_ls8c_ard_3-0-0_091089_2013-09-17_final
2013-10-10 09:32:56	ga_ls8c_ard_3-0-0_092080_2013-10-10_final
2013-10-10 09:33:20	ga_ls8c_ard_3-0-0_092081_2013-10-10_final
2013-10-10 09:33:44	ga_ls8c_ard_3-0-0_092082_2013-10-10_final
2013-10-10 09:34:08	ga_ls8c_ard_3-0-0_092083_2013-10-10_final
2013-10-24 09:41:36	ga_ls8c_ard_3-0-0_094071_2013-10-24_final
2013-10-24 09:42:00	ga_ls8c_ard_3-0-0_094072_2013-10-24_final
2013-10-24 09:42:24	ga_ls8c_ard_3-0-0_094073_2013-10-24_final
2013-10-24 09:42:48	ga_ls8c_ard_3-0-0_094074_2013-10-24_final
2013-10-24 09:43:12	ga_ls8c_ard_3-0-0_094075_2013-10-24_final
2013-10-24 09:43:36	ga_ls8c_ard_3-0-0_094076_2013-10-24_final
2013-10-31 09:46:08	ga_ls8c_ard_3-0-0_095067_2013-10-31_final
2013-11-02 09:36:59	ga_ls8c_ard_3-0-0_093075_2013-11-02_final
2013-11-02 09:37:22	ga_ls8c_ard_3-0-0_093076_2013-11-02_final
2013-11-02 09:37:46	ga_ls8c_ard_3-0-0_093077_2013-11-02_final
2013-11-02 09:38:10	ga_ls8c_ard_3-0-0_093078_2013-11-02_final
2013-11-02 09:38:34	ga_ls8c_ard_3-0-0_093079_2013-11-02_final
2013-11-02 09:38:58	ga_ls8c_ard_3-0-0_093080_2013-11-02_final
2013-11-02 09:39:22	ga_ls8c_ard_3-0-0_093081_2013-11-02_final
2014-02-06 09:36:14	ga_ls8c_ard_3-0-0_093075_2014-02-06_final
2014-02-06 09:36:38	ga_ls8c_ard_3-0-0_093076_2014-02-06_final
2014-02-06 09:38:14	ga_ls8c_ard_3-0-0_093080_2014-02-06_final
2014-02-06 09:38:38	ga_ls8c_ard_3-0-0_093081_2014-02-06_final
2015-01-26 09:26:01	ga_ls8c_ard_3-0-0_091083_2015-01-25_final
2015-01-26 09:26:25	ga_ls8c_ard_3-0-0_091084_2015-01-25_final
2015-01-26 09:26:49	ga_ls8c_ard_3-0-0_091085_2015-01-25_final
2015-01-26 09:27:13	ga_ls8c_ard_3-0-0_091086_2015-01-25_final
2015-01-26 09:27:37	ga_ls8c_ard_3-0-0_091087_2015-01-25_final
2015-01-26 09:28:01	ga_ls8c_ard_3-0-0_091088_2015-01-25_final
2015-01-26 09:28:25	ga_ls8c_ard_3-0-0_091089_2015-01-25_final
2015-04-21 09:39:11	ga_ls8c_ard_3-0-0_094071_2015-04-21_final
2015-04-21 09:39:35	ga_ls8c_ard_3-0-0_094072_2015-04-21_final
2015-04-21 09:39:59	ga_ls8c_ard_3-0-0_094073_2015-04-21_final
2015-04-21 09:40:23	ga_ls8c_ard_3-0-0_094074_2015-04-21_final
2015-04-21 09:40:47	ga_ls8c_ard_3-0-0_094075_2015-04-21_final
2015-04-21 09:41:11	ga_ls8c_ard_3-0-0_094076_2015-04-21_final
2015-04-23 09:30:00	ga_ls8c_ard_3-0-0_092079_2015-04-23_final
2015-04-23 09:30:24	ga_ls8c_ard_3-0-0_092080_2015-04-23_final
2015-04-23 09:30:48	ga_ls8c_ard_3-0-0_092081_2015-04-23_final
2015-04-23 09:31:12	ga_ls8c_ard_3-0-0_092082_2015-04-23_final
2015-04-23 09:31:36	ga_ls8c_ard_3-0-0_092083_2015-04-23_final
2015-04-23 09:32:00	ga_ls8c_ard_3-0-0_092084_2015-04-23_final
2015-04-23 09:32:24	ga_ls8c_ard_3-0-0_092085_2015-04-23_final
2015-05-23 09:38:53	ga_ls8c_ard_3-0-0_094071_2015-05-23_final
2015-05-23 09:39:17	ga_ls8c_ard_3-0-0_094072_2015-05-23_final
2015-05-23 09:39:41	ga_ls8c_ard_3-0-0_094073_2015-05-23_final
2015-05-23 09:40:05	ga_ls8c_ard_3-0-0_094074_2015-05-23_final
2015-05-23 09:40:29	ga_ls8c_ard_3-0-0_094075_2015-05-23_final
2015-05-23 09:40:53	ga_ls8c_ard_3-0-0_094076_2015-05-23_final
2015-05-25 09:29:43	ga_ls8c_ard_3-0-0_092079_2015-05-24_final
2015-05-25 09:30:07	ga_ls8c_ard_3-0-0_092080_2015-05-25_final
2015-05-25 09:30:31	ga_ls8c_ard_3-0-0_092081_2015-05-25_final
2015-05-25 09:30:55	ga_ls8c_ard_3-0-0_092082_2015-05-25_final
2015-05-25 09:31:19	ga_ls8c_ard_3-0-0_092083_2015-05-25_final
2015-05-25 09:31:43	ga_ls8c_ard_3-0-0_092084_2015-05-25_final
2015-05-25 09:32:07	ga_ls8c_ard_3-0-0_092085_2015-05-25_final
2015-07-14 09:21:02	ga_ls8c_ard_3-0-0_090087_2015-07-13_final
2015-07-14 09:21:26	ga_ls8c_ard_3-0-0_090088_2015-07-13_final
2015-07-14 09:21:50	ga_ls8c_ard_3-0-0_090089_2015-07-13_final
2015-07-14 09:22:14	ga_ls8c_ard_3-0-0_090090_2015-07-13_final
2015-07-14 09:22:37	ga_ls8c_ard_3-0-0_090091_2015-07-13_final
2017-02-19 09:50:30	ga_ls8c_ard_3-0-0_096067_2017-02-19_final
2017-02-21 09:39:44	ga_ls8c_ard_3-0-0_094071_2017-02-21_final
2017-02-21 09:40:08	ga_ls8c_ard_3-0-0_094072_2017-02-21_final
2017-02-21 09:40:32	ga_ls8c_ard_3-0-0_094073_2017-02-21_final
2017-02-21 09:40:56	ga_ls8c_ard_3-0-0_094074_2017-02-21_final
2017-02-21 09:41:20	ga_ls8c_ard_3-0-0_094075_2017-02-21_final
2017-02-21 09:41:44	ga_ls8c_ard_3-0-0_094076_2017-02-21_final
2019-07-18 09:16:27	ga_ls8c_ard_3-1-0_089090_2019-07-17_final
2019-10-22 09:16:54	ga_ls8c_ard_3-1-0_089090_2019-10-21_final
2023-01-09 09:21:53	ga_ls8c_ard_3-2-1_090087_2023-01-08_final
2023-01-09 09:22:17	ga_ls8c_ard_3-2-1_090088_2023-01-08_final
2023-01-09 09:22:41	ga_ls8c_ard_3-2-1_090089_2023-01-08_final
2023-01-09 09:23:05	ga_ls8c_ard_3-2-1_090090_2023-01-08_final
2023-01-09 09:23:29	ga_ls8c_ard_3-2-1_090091_2023-01-08_final
2023-01-12 09:46:22	ga_ls8c_ard_3-2-1_095071_2023-01-12_final
2023-01-14 09:35:34	ga_ls8c_ard_3-2-1_093075_2023-01-14_final
2023-01-14 09:35:58	ga_ls8c_ard_3-2-1_093076_2023-01-14_final
2023-01-14 09:36:22	ga_ls8c_ard_3-2-1_093077_2023-01-14_final
2023-01-14 09:36:46	ga_ls8c_ard_3-2-1_093078_2023-01-14_final
2023-01-14 09:37:10	ga_ls8c_ard_3-2-1_093079_2023-01-14_final
2023-01-14 09:37:34	ga_ls8c_ard_3-2-1_093080_2023-01-14_final
2023-01-14 09:37:58	ga_ls8c_ard_3-2-1_093081_2023-01-14_final
2023-01-16 09:26:22	ga_ls8c_ard_3-2-1_091083_2023-01-15_final
2023-01-16 09:26:46	ga_ls8c_ard_3-2-1_091084_2023-01-15_final
2023-01-18 09:16:47	ga_ls8c_ard_3-2-1_089090_2023-01-17_final
2023-01-21 09:40:09	ga_ls8c_ard_3-2-1_094071_2023-01-21_final
2023-01-21 09:40:33	ga_ls8c_ard_3-2-1_094072_2023-01-21_final
2023-01-21 09:40:57	ga_ls8c_ard_3-2-1_094073_2023-01-21_final
2023-01-21 09:41:21	ga_ls8c_ard_3-2-1_094074_2023-01-21_final
2023-01-21 09:41:44	ga_ls8c_ard_3-2-1_094075_2023-01-21_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years