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
2015-03-18 09:58:09	ga_ls8c_ard_3-0-0_096087_2015-03-18_final
2015-03-20 09:45:47	ga_ls8c_ard_3-0-0_094087_2015-03-20_final
2015-03-22 09:33:24	ga_ls8c_ard_3-0-0_092087_2015-03-22_final
2015-04-05 09:45:35	ga_ls8c_ard_3-0-0_094087_2015-04-05_final
2015-04-07 09:33:13	ga_ls8c_ard_3-0-0_092087_2015-04-07_final
2015-04-16 09:27:03	ga_ls8c_ard_3-0-0_091087_2015-04-15_final
2015-04-19 09:57:57	ga_ls8c_ard_3-0-0_096087_2015-04-19_final
2015-05-14 09:51:24	ga_ls8c_ard_3-0-0_095087_2015-05-14_final
2015-05-16 09:38:39	ga_ls8c_ard_3-0-0_093086_2015-05-16_final
2015-05-16 09:39:02	ga_ls8c_ard_3-0-0_093087_2015-05-16_final
2015-05-18 09:26:42	ga_ls8c_ard_3-0-0_091087_2015-05-17_final
2015-05-19 10:09:34	ga_ls8c_ard_3-0-0_098086_2015-05-19_final
2015-05-20 09:13:57	ga_ls8c_ard_3-0-0_089086_2015-05-19_final
2015-05-20 09:14:21	ga_ls8c_ard_3-0-0_089087_2015-05-19_final
2015-05-21 09:57:13	ga_ls8c_ard_3-0-0_096086_2015-05-21_final
2015-05-21 09:57:37	ga_ls8c_ard_3-0-0_096087_2015-05-21_final
2015-06-06 09:57:46	ga_ls8c_ard_3-0-0_096087_2015-06-06_final
2015-06-08 09:45:26	ga_ls8c_ard_3-0-0_094087_2015-06-08_final
2015-06-10 09:33:05	ga_ls8c_ard_3-0-0_092087_2015-06-10_final
2015-06-12 09:20:21	ga_ls8c_ard_3-0-0_090086_2015-06-11_final
2015-06-12 09:20:45	ga_ls8c_ard_3-0-0_090087_2015-06-11_final
2015-06-19 09:26:35	ga_ls8c_ard_3-0-0_091086_2015-06-18_final
2015-06-19 09:26:59	ga_ls8c_ard_3-0-0_091087_2015-06-18_final
2015-06-21 09:14:13	ga_ls8c_ard_3-0-0_089086_2015-06-20_final
2015-06-21 09:14:37	ga_ls8c_ard_3-0-0_089087_2015-06-20_final
2015-06-22 09:57:29	ga_ls8c_ard_3-0-0_096086_2015-06-22_final
2015-06-22 09:57:53	ga_ls8c_ard_3-0-0_096087_2015-06-22_final
2015-07-28 09:33:04	ga_ls8c_ard_3-0-0_092086_2015-07-28_final
2015-07-28 09:33:28	ga_ls8c_ard_3-0-0_092087_2015-07-28_final
2015-07-30 09:20:42	ga_ls8c_ard_3-0-0_090086_2015-07-29_final
2015-07-30 09:21:06	ga_ls8c_ard_3-0-0_090087_2015-07-29_final
2015-12-28 09:27:48	ga_ls8c_ard_3-0-0_091087_2015-12-27_final
2015-12-31 09:58:41	ga_ls8c_ard_3-0-0_096087_2015-12-31_final
2016-01-02 09:46:19	ga_ls8c_ard_3-0-0_094087_2016-01-02_final
2016-01-04 09:33:56	ga_ls8c_ard_3-0-0_092087_2016-01-04_final
2016-01-06 09:21:34	ga_ls8c_ard_3-0-0_090087_2016-01-05_final
2016-01-07 10:04:25	ga_ls8c_ard_3-0-0_097086_2016-01-07_final
2016-01-09 09:52:27	ga_ls8c_ard_3-0-0_095087_2016-01-09_final
2016-01-11 09:40:06	ga_ls8c_ard_3-0-0_093087_2016-01-11_final
2016-01-13 09:27:45	ga_ls8c_ard_3-0-0_091087_2016-01-12_final
2016-01-15 09:15:23	ga_ls8c_ard_3-0-0_089087_2016-01-14_final
2016-01-16 09:58:15	ga_ls8c_ard_3-0-0_096086_2016-01-16_final
2016-01-16 09:58:39	ga_ls8c_ard_3-0-0_096087_2016-01-16_final
2016-01-27 09:40:06	ga_ls8c_ard_3-0-0_093087_2016-01-27_final
2016-02-01 09:58:37	ga_ls8c_ard_3-0-0_096087_2016-02-01_final
2016-02-07 09:21:30	ga_ls8c_ard_3-0-0_090087_2016-02-06_final
2016-02-10 09:52:23	ga_ls8c_ard_3-0-0_095087_2016-02-10_final
2016-02-12 09:40:00	ga_ls8c_ard_3-0-0_093087_2016-02-12_final
2016-02-14 09:27:37	ga_ls8c_ard_3-0-0_091087_2016-02-13_final
2016-02-17 09:58:29	ga_ls8c_ard_3-0-0_096087_2016-02-17_final
2016-02-19 09:46:06	ga_ls8c_ard_3-0-0_094087_2016-02-19_final
2016-03-01 09:27:34	ga_ls8c_ard_3-0-0_091087_2016-02-29_final
2016-03-03 09:15:12	ga_ls8c_ard_3-0-0_089087_2016-03-02_final
2016-03-04 09:58:27	ga_ls8c_ard_3-0-0_096087_2016-03-04_final
2016-03-10 09:21:21	ga_ls8c_ard_3-0-0_090087_2016-03-09_final
2016-03-26 09:21:13	ga_ls8c_ard_3-0-0_090087_2016-03-25_final
2016-04-02 09:27:19	ga_ls8c_ard_3-0-0_091087_2016-04-01_final
2016-04-05 09:58:12	ga_ls8c_ard_3-0-0_096087_2016-04-05_final
2016-04-07 09:45:50	ga_ls8c_ard_3-0-0_094087_2016-04-07_final
2016-04-09 09:33:28	ga_ls8c_ard_3-0-0_092087_2016-04-09_final
2016-04-11 09:21:06	ga_ls8c_ard_3-0-0_090087_2016-04-10_final
2016-04-18 09:27:14	ga_ls8c_ard_3-0-0_091087_2016-04-17_final
2016-04-21 09:58:06	ga_ls8c_ard_3-0-0_096087_2016-04-21_final
2016-04-23 09:45:44	ga_ls8c_ard_3-0-0_094087_2016-04-23_final
2016-04-25 09:33:21	ga_ls8c_ard_3-0-0_092087_2016-04-25_final
2016-04-27 09:21:02	ga_ls8c_ard_3-0-0_090087_2016-04-26_final
2016-11-28 09:27:36	ga_ls8c_ard_3-0-0_091086_2016-11-27_final
2016-11-28 09:28:00	ga_ls8c_ard_3-0-0_091087_2016-11-27_final
2016-11-30 09:15:15	ga_ls8c_ard_3-0-0_089086_2016-11-29_final
2016-11-30 09:15:39	ga_ls8c_ard_3-0-0_089087_2016-11-29_final
2016-12-01 09:58:54	ga_ls8c_ard_3-0-0_096087_2016-12-01_final
2017-01-18 09:58:43	ga_ls8c_ard_3-0-0_096087_2017-01-18_final
2017-01-22 09:33:58	ga_ls8c_ard_3-0-0_092087_2017-01-22_final
2017-02-07 09:33:50	ga_ls8c_ard_3-0-0_092087_2017-02-07_final
2017-02-09 09:21:27	ga_ls8c_ard_3-0-0_090087_2017-02-08_final
2018-02-05 09:15:10	ga_ls8c_ard_3-0-0_089087_2018-02-04_final
2018-02-10 09:33:41	ga_ls8c_ard_3-0-0_092087_2018-02-10_final
2018-02-12 09:21:19	ga_ls8c_ard_3-0-0_090087_2018-02-11_final
2018-02-21 09:15:05	ga_ls8c_ard_3-0-0_089087_2018-02-20_final
2018-03-14 09:33:26	ga_ls8c_ard_3-0-0_092087_2018-03-14_final
2018-03-16 09:21:03	ga_ls8c_ard_3-0-0_090087_2018-03-15_final
2018-03-30 09:33:19	ga_ls8c_ard_3-0-0_092087_2018-03-30_final
2018-04-01 09:20:56	ga_ls8c_ard_3-0-0_090087_2018-03-31_final
2018-04-10 09:14:41	ga_ls8c_ard_3-0-0_089087_2018-04-09_final
2018-04-15 09:33:10	ga_ls8c_ard_3-0-0_092087_2018-04-15_final
2018-04-17 09:20:47	ga_ls8c_ard_3-0-0_090087_2018-04-16_final
2018-05-13 09:57:13	ga_ls8c_ard_3-0-0_096086_2018-05-13_final
2018-05-13 09:57:37	ga_ls8c_ard_3-0-0_096087_2018-05-13_final
2020-03-08 09:52:18	ga_ls8c_ard_3-1-0_095087_2020-03-08_final
2020-03-10 09:39:56	ga_ls8c_ard_3-1-0_093087_2020-03-10_final
2020-03-24 09:52:10	ga_ls8c_ard_3-1-0_095087_2020-03-24_final
2020-03-26 09:39:47	ga_ls8c_ard_3-1-0_093087_2020-03-26_final
2020-05-11 09:51:47	ga_ls8c_ard_3-1-0_095087_2020-05-11_final
2020-05-13 09:39:02	ga_ls8c_ard_3-1-0_093086_2020-05-13_final
2020-05-13 09:39:26	ga_ls8c_ard_3-1-0_093087_2020-05-13_final
2020-05-18 09:58:00	ga_ls8c_ard_3-1-0_096087_2020-05-18_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
2020-05-27 09:51:27	ga_ls8c_ard_3-1-0_095086_2020-05-27_final
2020-05-27 09:51:51	ga_ls8c_ard_3-1-0_095087_2020-05-27_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