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
2013-03-26 09:41:16	ga_ls8c_ard_3-0-0_093087_2013-03-26_final
2013-04-26 09:29:25	ga_ls8c_ard_3-0-0_091087_2013-04-25_final
2013-05-19 09:35:52	ga_ls8c_ard_3-0-0_092087_2013-05-19_final
2013-05-28 09:29:43	ga_ls8c_ard_3-0-0_091087_2013-05-27_final
2013-06-20 09:35:46	ga_ls8c_ard_3-0-0_092087_2013-06-20_final
2013-06-22 09:23:24	ga_ls8c_ard_3-0-0_090087_2013-06-21_final
2013-07-11 09:53:59	ga_ls8c_ard_3-0-0_095086_2013-07-11_final
2013-07-11 09:54:23	ga_ls8c_ard_3-0-0_095087_2013-07-11_final
2013-07-15 09:29:15	ga_ls8c_ard_3-0-0_091086_2013-07-14_final
2013-07-15 09:29:39	ga_ls8c_ard_3-0-0_091087_2013-07-14_final
2013-08-03 10:00:11	ga_ls8c_ard_3-0-0_096086_2013-08-03_final
2013-08-19 10:00:12	ga_ls8c_ard_3-0-0_096086_2013-08-19_final
2013-08-25 09:23:32	ga_ls8c_ard_3-0-0_090087_2013-08-24_final
2013-08-30 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-08-30_final
2013-08-30 09:42:05	ga_ls8c_ard_3-0-0_093087_2013-08-30_final
2013-09-01 09:29:19	ga_ls8c_ard_3-0-0_091086_2013-08-31_final
2013-09-01 09:29:43	ga_ls8c_ard_3-0-0_091087_2013-08-31_final
2013-09-03 09:16:57	ga_ls8c_ard_3-0-0_089086_2013-09-02_final
2013-09-13 09:54:23	ga_ls8c_ard_3-0-0_095087_2013-09-13_final
2013-09-15 09:42:00	ga_ls8c_ard_3-0-0_093087_2013-09-15_final
2013-09-22 09:48:08	ga_ls8c_ard_3-0-0_094087_2013-09-22_final
2013-09-24 09:35:45	ga_ls8c_ard_3-0-0_092087_2013-09-24_final
2013-09-26 09:22:58	ga_ls8c_ard_3-0-0_090086_2013-09-25_final
2013-09-26 09:23:22	ga_ls8c_ard_3-0-0_090087_2013-09-25_final
2013-10-06 10:00:03	ga_ls8c_ard_3-0-0_096086_2013-10-06_final
2013-10-08 09:48:06	ga_ls8c_ard_3-0-0_094087_2013-10-08_final
2013-10-10 09:35:20	ga_ls8c_ard_3-0-0_092086_2013-10-10_final
2013-10-12 09:23:22	ga_ls8c_ard_3-0-0_090087_2013-10-11_final
2013-10-17 09:41:53	ga_ls8c_ard_3-0-0_093087_2013-10-17_final
2013-10-19 09:29:06	ga_ls8c_ard_3-0-0_091086_2013-10-18_final
2013-10-19 09:29:30	ga_ls8c_ard_3-0-0_091087_2013-10-18_final
2013-10-22 09:59:58	ga_ls8c_ard_3-0-0_096086_2013-10-22_final
2013-11-13 09:23:13	ga_ls8c_ard_3-0-0_090087_2013-11-12_final
2017-04-30 09:20:23	ga_ls8c_ard_3-0-0_090086_2017-04-29_final
2017-04-30 09:20:47	ga_ls8c_ard_3-0-0_090087_2017-04-29_final
2017-05-01 10:03:38	ga_ls8c_ard_3-0-0_097086_2017-05-01_final
2017-05-16 09:20:32	ga_ls8c_ard_3-0-0_090086_2017-05-15_final
2017-05-16 09:20:56	ga_ls8c_ard_3-0-0_090087_2017-05-15_final
2017-05-23 09:26:47	ga_ls8c_ard_3-0-0_091086_2017-05-22_final
2017-05-23 09:27:11	ga_ls8c_ard_3-0-0_091087_2017-05-22_final
2017-05-24 10:10:04	ga_ls8c_ard_3-0-0_098086_2017-05-24_final
2017-06-29 09:45:35	ga_ls8c_ard_3-0-0_094086_2017-06-29_final
2017-06-29 09:45:59	ga_ls8c_ard_3-0-0_094087_2017-06-29_final
2017-07-01 09:33:14	ga_ls8c_ard_3-0-0_092086_2017-07-01_final
2017-07-01 09:33:38	ga_ls8c_ard_3-0-0_092087_2017-07-01_final
2017-07-31 09:46:10	ga_ls8c_ard_3-0-0_094087_2017-07-31_final
2017-08-27 09:27:22	ga_ls8c_ard_3-0-0_091086_2017-08-26_final
2017-08-27 09:27:46	ga_ls8c_ard_3-0-0_091087_2017-08-26_final
2019-02-07 10:10:18	ga_ls8c_ard_3-0-0_098086_2019-02-07_final
2019-02-08 09:15:04	ga_ls8c_ard_3-0-0_089087_2019-02-07_final
2019-02-09 09:58:20	ga_ls8c_ard_3-0-0_096087_2019-02-09_final
2019-02-11 09:45:34	ga_ls8c_ard_3-0-0_094086_2019-02-11_final
2019-02-11 09:45:58	ga_ls8c_ard_3-0-0_094087_2019-02-11_final
2019-02-13 09:33:12	ga_ls8c_ard_3-0-0_092086_2019-02-13_final
2019-02-13 09:33:36	ga_ls8c_ard_3-0-0_092087_2019-02-13_final
2019-02-15 09:21:14	ga_ls8c_ard_3-0-0_090087_2019-02-14_final
2019-02-18 09:51:43	ga_ls8c_ard_3-0-0_095086_2019-02-18_final
2019-02-18 09:52:07	ga_ls8c_ard_3-0-0_095087_2019-02-18_final
2019-03-04 10:04:01	ga_ls8c_ard_3-0-0_097086_2019-03-04_final
2019-03-06 09:51:39	ga_ls8c_ard_3-0-0_095086_2019-03-06_final
2019-03-06 09:52:03	ga_ls8c_ard_3-0-0_095087_2019-03-06_final
2019-03-08 09:39:16	ga_ls8c_ard_3-1-0_093086_2019-03-08_final
2019-03-08 09:39:40	ga_ls8c_ard_3-1-0_093087_2019-03-08_final
2019-03-12 09:14:31	ga_ls8c_ard_3-1-0_089086_2019-03-11_final
2019-03-12 09:14:55	ga_ls8c_ard_3-1-0_089087_2019-03-11_final
2019-03-13 09:58:11	ga_ls8c_ard_3-1-0_096087_2019-03-13_final
2019-03-15 09:45:24	ga_ls8c_ard_3-1-0_094086_2019-03-15_final
2019-03-15 09:45:48	ga_ls8c_ard_3-1-0_094087_2019-03-15_final
2019-04-07 09:51:54	ga_ls8c_ard_3-1-0_095087_2019-04-07_final
2019-04-11 09:27:09	ga_ls8c_ard_3-1-0_091087_2019-04-10_final
2019-04-16 09:45:40	ga_ls8c_ard_3-1-0_094087_2019-04-16_final
2019-04-18 09:32:54	ga_ls8c_ard_3-1-0_092086_2019-04-18_final
2019-04-18 09:33:17	ga_ls8c_ard_3-1-0_092087_2019-04-18_final
2019-04-20 09:20:55	ga_ls8c_ard_3-0-0_090087_2019-04-19_final
2019-04-21 10:03:46	ga_ls8c_ard_3-0-0_097086_2019-04-21_final
2019-04-23 09:51:48	ga_ls8c_ard_3-0-0_095087_2019-04-23_final
2019-04-25 09:39:25	ga_ls8c_ard_3-0-0_093087_2019-04-25_final
2019-04-27 09:26:40	ga_ls8c_ard_3-0-0_091086_2019-04-26_final
2019-04-27 09:27:04	ga_ls8c_ard_3-0-0_091087_2019-04-26_final
2019-04-28 10:09:56	ga_ls8c_ard_3-0-0_098086_2019-04-28_final
2019-04-29 09:14:19	ga_ls8c_ard_3-0-0_089086_2019-04-28_final
2019-04-29 09:14:43	ga_ls8c_ard_3-0-0_089087_2019-04-28_final
2019-04-30 09:57:35	ga_ls8c_ard_3-0-0_096086_2019-04-30_final
2019-04-30 09:57:59	ga_ls8c_ard_3-0-0_096087_2019-04-30_final
2019-05-18 09:45:49	ga_ls8c_ard_3-0-0_094087_2019-05-18_final
2019-05-20 09:33:04	ga_ls8c_ard_3-0-0_092086_2019-05-20_final
2019-05-20 09:33:28	ga_ls8c_ard_3-0-0_092087_2019-05-20_final
2019-05-25 09:51:39	ga_ls8c_ard_3-0-0_095086_2019-05-25_final
2019-05-25 09:52:03	ga_ls8c_ard_3-0-0_095087_2019-05-25_final
2019-05-29 09:27:22	ga_ls8c_ard_3-0-0_091087_2019-05-28_final
2019-06-07 09:20:52	ga_ls8c_ard_3-0-0_090086_2019-06-06_final
2019-06-07 09:21:16	ga_ls8c_ard_3-0-0_090087_2019-06-06_final
2019-06-14 09:27:05	ga_ls8c_ard_3-1-0_091086_2019-06-13_final
2019-06-14 09:27:29	ga_ls8c_ard_3-1-0_091087_2019-06-13_final
2019-06-15 10:10:21	ga_ls8c_ard_3-1-0_098086_2019-06-15_final
2019-06-16 09:14:44	ga_ls8c_ard_3-1-0_089086_2019-06-15_final
2019-06-16 09:15:08	ga_ls8c_ard_3-1-0_089087_2019-06-15_final
2019-06-17 09:58:00	ga_ls8c_ard_3-1-0_096086_2019-06-17_final
2019-06-17 09:58:24	ga_ls8c_ard_3-1-0_096087_2019-06-17_final
2019-06-19 09:45:39	ga_ls8c_ard_3-1-0_094086_2019-06-19_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