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
2015-01-15 09:46:14	ga_ls8c_ard_3-0-0_094087_2015-01-15_final
2015-01-17 09:33:28	ga_ls8c_ard_3-0-0_092086_2015-01-17_final
2015-01-17 09:33:52	ga_ls8c_ard_3-0-0_092087_2015-01-17_final
2015-01-19 09:21:29	ga_ls8c_ard_3-0-0_090087_2015-01-18_final
2015-02-07 09:52:18	ga_ls8c_ard_3-0-0_095087_2015-02-07_final
2015-02-16 09:46:01	ga_ls8c_ard_3-0-0_094087_2015-02-16_final
2015-02-18 09:33:40	ga_ls8c_ard_3-0-0_092087_2015-02-18_final
2015-02-20 09:21:18	ga_ls8c_ard_3-0-0_090087_2015-02-19_final
2015-03-01 09:15:05	ga_ls8c_ard_3-0-0_089087_2015-02-28_final
2015-03-06 09:33:34	ga_ls8c_ard_3-0-0_092087_2015-03-06_final
2015-03-08 09:21:10	ga_ls8c_ard_3-0-0_090087_2015-03-07_final
2015-03-20 09:45:47	ga_ls8c_ard_3-0-0_094087_2015-03-20_final
2015-04-05 09:45:35	ga_ls8c_ard_3-0-0_094087_2015-04-05_final
2015-04-21 09:45:34	ga_ls8c_ard_3-0-0_094087_2015-04-21_final
2015-05-23 09:45:16	ga_ls8c_ard_3-0-0_094087_2015-05-23_final
2015-05-25 09:32:31	ga_ls8c_ard_3-0-0_092086_2015-05-25_final
2015-05-25 09:32:55	ga_ls8c_ard_3-0-0_092087_2015-05-25_final
2015-06-08 09:45:26	ga_ls8c_ard_3-0-0_094087_2015-06-08_final
2015-06-10 09:32:41	ga_ls8c_ard_3-0-0_092086_2015-06-10_final
2015-06-10 09:33:05	ga_ls8c_ard_3-0-0_092087_2015-06-10_final
2015-06-24 09:45:32	ga_ls8c_ard_3-0-0_094087_2015-06-24_final
2015-06-26 09:32:46	ga_ls8c_ard_3-0-0_092086_2015-06-26_final
2015-06-26 09:33:10	ga_ls8c_ard_3-0-0_092087_2015-06-26_final
2015-09-08 10:10:24	ga_ls8c_ard_3-0-0_098086_2015-09-08_final
2015-09-09 09:14:47	ga_ls8c_ard_3-0-0_089086_2015-09-08_final
2015-09-09 09:15:11	ga_ls8c_ard_3-0-0_089087_2015-09-08_final
2015-09-10 09:58:03	ga_ls8c_ard_3-0-0_096086_2015-09-10_final
2015-09-10 09:58:27	ga_ls8c_ard_3-0-0_096087_2015-09-10_final
2015-09-17 10:04:18	ga_ls8c_ard_3-0-0_097086_2015-09-17_final
2015-09-19 09:51:57	ga_ls8c_ard_3-0-0_095086_2015-09-19_final
2015-09-19 09:52:21	ga_ls8c_ard_3-0-0_095087_2015-09-19_final
2015-10-14 09:45:49	ga_ls8c_ard_3-0-0_094086_2015-10-14_final
2015-10-14 09:46:13	ga_ls8c_ard_3-0-0_094087_2015-10-14_final
2015-10-16 09:33:27	ga_ls8c_ard_3-0-0_092086_2015-10-16_final
2015-10-16 09:33:51	ga_ls8c_ard_3-0-0_092087_2015-10-16_final
2015-10-23 09:39:42	ga_ls8c_ard_3-0-0_093086_2015-10-23_final
2015-10-23 09:40:06	ga_ls8c_ard_3-0-0_093087_2015-10-23_final
2015-10-25 09:27:21	ga_ls8c_ard_3-0-0_091086_2015-10-24_final
2015-10-25 09:27:45	ga_ls8c_ard_3-0-0_091087_2015-10-24_final
2015-11-10 09:27:47	ga_ls8c_ard_3-0-0_091087_2015-11-09_final
2015-11-11 10:10:38	ga_ls8c_ard_3-0-0_098086_2015-11-11_final
2015-11-12 09:15:01	ga_ls8c_ard_3-0-0_089086_2015-11-11_final
2015-11-12 09:15:24	ga_ls8c_ard_3-0-0_089087_2015-11-11_final
2015-11-13 09:58:16	ga_ls8c_ard_3-0-0_096086_2015-11-13_final
2015-11-13 09:58:40	ga_ls8c_ard_3-0-0_096087_2015-11-13_final
2018-03-19 09:51:56	ga_ls8c_ard_3-0-0_095087_2018-03-19_final
2018-04-01 09:20:56	ga_ls8c_ard_3-0-0_090087_2018-03-31_final
2018-04-04 09:51:49	ga_ls8c_ard_3-0-0_095087_2018-04-04_final
2018-04-17 09:20:47	ga_ls8c_ard_3-0-0_090087_2018-04-16_final
2018-04-20 09:51:39	ga_ls8c_ard_3-0-0_095087_2018-04-20_final
2018-05-03 09:20:38	ga_ls8c_ard_3-0-0_090087_2018-05-02_final
2018-05-06 09:51:30	ga_ls8c_ard_3-0-0_095087_2018-05-06_final
2018-06-04 09:19:52	ga_ls8c_ard_3-0-0_090086_2018-06-03_final
2018-06-04 09:20:16	ga_ls8c_ard_3-0-0_090087_2018-06-03_final
2018-06-05 10:03:08	ga_ls8c_ard_3-0-0_097086_2018-06-05_final
2018-07-06 09:20:11	ga_ls8c_ard_3-0-0_090086_2018-07-05_final
2018-07-06 09:20:35	ga_ls8c_ard_3-1-0_090087_2018-07-05_final
2018-07-07 10:03:27	ga_ls8c_ard_3-0-0_097086_2018-07-07_final
2018-07-09 09:51:07	ga_ls8c_ard_3-0-0_095086_2018-07-09_final
2018-07-09 09:51:31	ga_ls8c_ard_3-0-0_095087_2018-07-09_final
2018-07-18 09:45:24	ga_ls8c_ard_3-0-0_094087_2018-07-18_final
2019-12-12 09:46:07	ga_ls8c_ard_3-1-0_094086_2019-12-12_final
2019-12-12 09:46:31	ga_ls8c_ard_3-1-0_094087_2019-12-12_final
2019-12-14 09:33:45	ga_ls8c_ard_3-2-0_092086_2019-12-14_final
2019-12-14 09:34:09	ga_ls8c_ard_3-2-0_092087_2019-12-14_final
2019-12-19 09:52:16	ga_ls8c_ard_3-2-0_095086_2019-12-19_final
2019-12-19 09:52:40	ga_ls8c_ard_3-2-0_095087_2019-12-19_final
2020-01-01 09:21:19	ga_ls8c_ard_3-1-0_090086_2019-12-31_final
2020-01-01 09:21:43	ga_ls8c_ard_3-1-0_090087_2019-12-31_final
2020-01-04 09:52:36	ga_ls8c_ard_3-1-0_095087_2020-01-04_final
2020-01-08 09:27:28	ga_ls8c_ard_3-1-0_091086_2020-01-07_final
2020-01-08 09:27:52	ga_ls8c_ard_3-1-0_091087_2020-01-07_final
2020-01-13 09:46:24	ga_ls8c_ard_3-1-0_094087_2020-01-13_final
2020-01-22 09:40:10	ga_ls8c_ard_3-1-0_093087_2020-01-22_final
2020-01-24 09:27:48	ga_ls8c_ard_3-1-0_091087_2020-01-23_final
2020-02-02 09:21:10	ga_ls8c_ard_3-1-0_090086_2020-02-01_final
2020-02-02 09:21:34	ga_ls8c_ard_3-1-0_090087_2020-02-01_final
2020-02-07 09:40:05	ga_ls8c_ard_3-1-0_093087_2020-02-07_final
2020-02-09 09:27:43	ga_ls8c_ard_3-1-0_091087_2020-02-08_final
2020-02-14 09:46:15	ga_ls8c_ard_3-1-0_094087_2020-02-14_final
2020-02-16 09:33:53	ga_ls8c_ard_3-1-0_092087_2020-02-16_final
2020-02-23 09:40:02	ga_ls8c_ard_3-1-0_093087_2020-02-23_final
2020-02-25 09:27:39	ga_ls8c_ard_3-1-0_091087_2020-02-24_final
2020-03-01 09:46:10	ga_ls8c_ard_3-1-0_094087_2020-03-01_final
2020-03-03 09:33:48	ga_ls8c_ard_3-1-0_092087_2020-03-03_final
2020-03-17 09:46:03	ga_ls8c_ard_3-1-0_094087_2020-03-17_final
2020-03-26 09:39:47	ga_ls8c_ard_3-1-0_093087_2020-03-26_final
2020-03-28 09:27:24	ga_ls8c_ard_3-1-0_091087_2020-03-27_final
2020-04-04 09:33:31	ga_ls8c_ard_3-1-0_092087_2020-04-04_final
2020-04-11 09:39:39	ga_ls8c_ard_3-1-0_093087_2020-04-11_final
2020-04-25 09:51:55	ga_ls8c_ard_3-1-0_095087_2020-04-25_final
2020-04-27 09:39:32	ga_ls8c_ard_3-1-0_093087_2020-04-27_final
2020-04-29 09:27:09	ga_ls8c_ard_3-1-0_091087_2020-04-28_final
2020-05-04 09:45:39	ga_ls8c_ard_3-1-0_094087_2020-05-04_final
2020-05-06 09:33:16	ga_ls8c_ard_3-1-0_092087_2020-05-06_final
2020-05-09 10:03:44	ga_ls8c_ard_3-1-0_097086_2020-05-09_final
2020-05-11 09:51:47	ga_ls8c_ard_3-1-0_095087_2020-05-11_final
2020-05-20 09:45:15	ga_ls8c_ard_3-1-0_094086_2020-05-20_final
2020-05-20 09:45:39	ga_ls8c_ard_3-1-0_094087_2020-05-20_final
2020-05-24 09:20:32	ga_ls8c_ard_3-1-0_090086_2020-05-23_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