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
2016-04-30 09:51:59	ga_ls8c_ard_3-0-0_095087_2016-04-30_final
2016-05-02 09:39:39	ga_ls8c_ard_3-0-0_093087_2016-05-02_final
2016-05-04 09:27:18	ga_ls8c_ard_3-0-0_091087_2016-05-03_final
2016-05-07 09:58:10	ga_ls8c_ard_3-0-0_096087_2016-05-07_final
2016-05-09 09:45:47	ga_ls8c_ard_3-0-0_094087_2016-05-09_final
2016-05-16 09:51:57	ga_ls8c_ard_3-0-0_095087_2016-05-16_final
2016-05-18 09:39:12	ga_ls8c_ard_3-0-0_093086_2016-05-18_final
2016-05-18 09:39:36	ga_ls8c_ard_3-0-0_093087_2016-05-18_final
2016-05-20 09:26:52	ga_ls8c_ard_3-0-0_091086_2016-05-19_final
2016-05-20 09:27:16	ga_ls8c_ard_3-0-0_091087_2016-05-19_final
2016-05-23 09:58:11	ga_ls8c_ard_3-0-0_096087_2016-05-23_final
2016-05-25 09:45:26	ga_ls8c_ard_3-0-0_094086_2016-05-25_final
2016-05-25 09:45:50	ga_ls8c_ard_3-0-0_094087_2016-05-25_final
2016-06-01 09:51:39	ga_ls8c_ard_3-0-0_095086_2016-06-01_final
2016-06-01 09:52:03	ga_ls8c_ard_3-0-0_095087_2016-06-01_final
2016-06-03 09:39:18	ga_ls8c_ard_3-0-0_093086_2016-06-03_final
2016-06-03 09:39:42	ga_ls8c_ard_3-0-0_093087_2016-06-03_final
2016-06-05 09:26:57	ga_ls8c_ard_3-0-0_091086_2016-06-04_final
2016-06-05 09:27:21	ga_ls8c_ard_3-0-0_091087_2016-06-04_final
2016-06-08 09:57:51	ga_ls8c_ard_3-0-0_096086_2016-06-08_final
2016-06-08 09:58:15	ga_ls8c_ard_3-0-0_096087_2016-06-08_final
2016-06-10 09:45:54	ga_ls8c_ard_3-0-0_094087_2016-06-10_final
2016-06-17 09:51:41	ga_ls8c_ard_3-0-0_095086_2016-06-17_final
2016-06-17 09:52:05	ga_ls8c_ard_3-0-0_095087_2016-06-17_final
2016-06-19 09:39:45	ga_ls8c_ard_3-0-0_093087_2016-06-19_final
2016-06-22 10:10:17	ga_ls8c_ard_3-0-0_098086_2016-06-22_final
2016-06-23 09:14:41	ga_ls8c_ard_3-0-0_089086_2016-06-22_final
2016-06-23 09:15:05	ga_ls8c_ard_3-0-0_089087_2016-06-22_final
2016-06-24 09:58:21	ga_ls8c_ard_3-0-0_096087_2016-06-24_final
2016-06-30 09:21:19	ga_ls8c_ard_3-0-0_090087_2016-06-29_final
2016-07-01 10:04:12	ga_ls8c_ard_3-0-0_097086_2016-07-01_final
2016-07-03 09:52:15	ga_ls8c_ard_3-0-0_095087_2016-07-03_final
2016-07-05 09:39:55	ga_ls8c_ard_3-0-0_093087_2016-07-05_final
2016-07-16 09:21:27	ga_ls8c_ard_3-0-0_090087_2016-07-15_final
2016-07-19 09:51:58	ga_ls8c_ard_3-0-0_095086_2016-07-19_final
2016-07-19 09:52:22	ga_ls8c_ard_3-0-0_095087_2016-07-19_final
2016-07-21 09:40:01	ga_ls8c_ard_3-0-0_093087_2016-07-21_final
2016-07-26 09:58:10	ga_ls8c_ard_3-0-0_096086_2016-07-26_final
2016-07-26 09:58:34	ga_ls8c_ard_3-0-0_096087_2016-07-26_final
2016-07-28 09:46:13	ga_ls8c_ard_3-0-0_094087_2016-07-28_final
2016-08-01 09:21:30	ga_ls8c_ard_3-0-0_090087_2016-07-31_final
2016-08-02 10:04:22	ga_ls8c_ard_3-0-0_097086_2016-08-02_final
2016-08-04 09:52:01	ga_ls8c_ard_3-0-0_095086_2016-08-04_final
2016-08-04 09:52:25	ga_ls8c_ard_3-0-0_095087_2016-08-04_final
2016-08-06 09:39:39	ga_ls8c_ard_3-0-0_093086_2016-08-06_final
2016-08-06 09:40:03	ga_ls8c_ard_3-0-0_093087_2016-08-06_final
2016-08-08 09:27:42	ga_ls8c_ard_3-0-0_091087_2016-08-07_final
2016-08-11 09:58:12	ga_ls8c_ard_3-0-0_096086_2016-08-11_final
2016-08-11 09:58:36	ga_ls8c_ard_3-0-0_096087_2016-08-11_final
2016-09-10 10:10:45	ga_ls8c_ard_3-0-0_098086_2016-09-10_final
2016-09-11 09:15:32	ga_ls8c_ard_3-0-0_089087_2016-09-10_final
2016-09-16 09:34:05	ga_ls8c_ard_3-0-0_092087_2016-09-16_final
2016-09-18 09:21:43	ga_ls8c_ard_3-0-0_090087_2016-09-17_final
2016-09-19 10:04:35	ga_ls8c_ard_3-0-0_097086_2016-09-19_final
2016-09-27 09:15:32	ga_ls8c_ard_3-0-0_089087_2016-09-26_final
2016-09-28 09:58:48	ga_ls8c_ard_3-0-0_096087_2016-09-28_final
2016-10-11 09:27:59	ga_ls8c_ard_3-0-0_091087_2016-10-10_final
2016-10-13 09:15:38	ga_ls8c_ard_3-0-0_089087_2016-10-12_final
2016-10-14 09:58:30	ga_ls8c_ard_3-0-0_096086_2016-10-14_final
2016-10-14 09:58:54	ga_ls8c_ard_3-0-0_096087_2016-10-14_final
2016-10-29 09:15:16	ga_ls8c_ard_3-0-0_089086_2016-10-28_final
2016-10-29 09:15:40	ga_ls8c_ard_3-0-0_089087_2016-10-28_final
2016-10-30 09:58:31	ga_ls8c_ard_3-0-0_096086_2016-10-30_final
2016-10-30 09:58:55	ga_ls8c_ard_3-0-0_096087_2016-10-30_final
2016-11-01 09:46:33	ga_ls8c_ard_3-0-0_094087_2016-11-01_final
2016-11-03 09:34:12	ga_ls8c_ard_3-0-0_092087_2016-11-03_final
2016-11-05 09:21:50	ga_ls8c_ard_3-0-0_090087_2016-11-04_final
2016-11-15 09:58:54	ga_ls8c_ard_3-0-0_096087_2016-11-15_final
2018-09-11 09:51:36	ga_ls8c_ard_3-0-0_095086_2018-09-11_final
2018-09-11 09:52:00	ga_ls8c_ard_3-0-0_095087_2018-09-11_final
2018-09-13 09:39:39	ga_ls8c_ard_3-0-0_093087_2018-09-13_final
2018-09-27 09:52:05	ga_ls8c_ard_3-0-0_095087_2018-09-27_final
2018-09-29 09:39:21	ga_ls8c_ard_3-0-0_093086_2018-09-29_final
2018-09-29 09:39:45	ga_ls8c_ard_3-0-0_093087_2018-09-29_final
2018-10-29 09:51:54	ga_ls8c_ard_3-0-0_095086_2018-10-29_final
2018-10-29 09:52:18	ga_ls8c_ard_3-0-0_095087_2018-10-29_final
2018-10-31 09:39:56	ga_ls8c_ard_3-0-0_093087_2018-10-31_final
2018-11-14 09:52:20	ga_ls8c_ard_3-0-0_095087_2018-11-14_final
2018-11-16 09:39:58	ga_ls8c_ard_3-0-0_093087_2018-11-16_final
2019-06-30 09:27:34	ga_ls8c_ard_3-1-0_091087_2019-06-29_final
2019-07-01 10:10:26	ga_ls8c_ard_3-1-0_098086_2019-07-01_final
2019-07-02 09:14:49	ga_ls8c_ard_3-1-0_089086_2019-07-01_final
2019-07-02 09:15:13	ga_ls8c_ard_3-1-0_089087_2019-07-01_final
2019-07-03 09:58:29	ga_ls8c_ard_3-1-0_096087_2019-07-03_final
2019-08-01 09:27:19	ga_ls8c_ard_3-1-0_091086_2019-07-31_final
2019-08-01 09:27:43	ga_ls8c_ard_3-1-0_091087_2019-07-31_final
2019-08-17 09:27:49	ga_ls8c_ard_3-1-0_091087_2019-08-16_final
2019-08-19 09:15:28	ga_ls8c_ard_3-1-0_089087_2019-08-18_final
2019-08-20 09:58:44	ga_ls8c_ard_3-1-0_096087_2019-08-20_final
2019-08-22 09:46:22	ga_ls8c_ard_3-1-0_094087_2019-08-22_final
2019-08-24 09:34:01	ga_ls8c_ard_3-1-0_092087_2019-08-24_final
2019-08-26 09:21:40	ga_ls8c_ard_3-1-0_090087_2019-08-25_final
2019-09-03 10:10:44	ga_ls8c_ard_3-1-0_098086_2019-09-03_final
2019-09-04 09:15:31	ga_ls8c_ard_3-1-0_089087_2019-09-03_final
2019-09-18 09:27:58	ga_ls8c_ard_3-1-0_091087_2019-09-17_final
2019-10-04 09:28:02	ga_ls8c_ard_3-1-0_091087_2019-10-03_final
2019-10-06 09:15:41	ga_ls8c_ard_3-1-0_089087_2019-10-05_final
2019-10-07 09:58:33	ga_ls8c_ard_3-1-0_096086_2019-10-07_final
2019-10-07 09:58:57	ga_ls8c_ard_3-1-0_096087_2019-10-07_final
2019-10-14 10:04:44	ga_ls8c_ard_3-1-0_097086_2019-10-14_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