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
2015-01-20 10:03:08	ga_ls8c_ard_3-0-0_097083_2015-01-20_final
2015-01-20 10:03:32	ga_ls8c_ard_3-0-0_097084_2015-01-20_final
2015-01-20 11:42:01	ga_ls8c_ard_3-0-0_113083_2015-01-20_final
2015-01-20 11:42:25	ga_ls8c_ard_3-0-0_113084_2015-01-20_final
2015-01-22 09:50:45	ga_ls8c_ard_3-0-0_095083_2015-01-22_final
2015-01-22 09:51:09	ga_ls8c_ard_3-0-0_095084_2015-01-22_final
2015-01-22 11:30:02	ga_ls8c_ard_3-0-0_111084_2015-01-22_final
2015-03-11 09:50:50	ga_ls8c_ard_3-0-0_095084_2015-03-11_final
2015-03-11 11:29:43	ga_ls8c_ard_3-0-0_111084_2015-03-11_final
2015-04-24 10:14:51	ga_ls8c_ard_3-0-0_099083_2015-04-24_final
2015-04-24 10:15:15	ga_ls8c_ard_3-0-0_099084_2015-04-24_final
2015-04-25 09:19:37	ga_ls8c_ard_3-0-0_090084_2015-04-24_final
2015-04-25 10:58:30	ga_ls8c_ard_3-0-0_106084_2015-04-25_final
2015-04-26 10:02:52	ga_ls8c_ard_3-0-0_097084_2015-04-26_final
2015-04-26 11:41:45	ga_ls8c_ard_3-0-0_113084_2015-04-26_final
2015-04-27 09:07:14	ga_ls8c_ard_3-0-0_088084_2015-04-26_final
2015-04-28 09:50:28	ga_ls8c_ard_3-0-0_095084_2015-04-28_final
2015-04-28 11:29:21	ga_ls8c_ard_3-0-0_111084_2015-04-28_final
2015-05-26 10:14:35	ga_ls8c_ard_3-0-0_099083_2015-05-26_final
2015-05-26 10:14:59	ga_ls8c_ard_3-0-0_099084_2015-05-26_final
2015-05-27 09:18:58	ga_ls8c_ard_3-0-0_090083_2015-05-26_final
2015-05-27 09:19:22	ga_ls8c_ard_3-0-0_090084_2015-05-26_final
2015-05-27 10:57:51	ga_ls8c_ard_3-0-0_106083_2015-05-27_final
2015-05-27 10:58:15	ga_ls8c_ard_3-0-0_106084_2015-05-27_final
2015-05-28 10:02:13	ga_ls8c_ard_3-0-0_097083_2015-05-28_final
2015-05-28 10:02:37	ga_ls8c_ard_3-0-0_097084_2015-05-28_final
2015-05-28 11:41:31	ga_ls8c_ard_3-0-0_113084_2015-05-28_final
2015-05-29 09:06:36	ga_ls8c_ard_3-0-0_088083_2015-05-28_final
2015-05-29 09:07:00	ga_ls8c_ard_3-0-0_088084_2015-05-28_final
2015-05-29 10:45:29	ga_ls8c_ard_3-0-0_104083_2015-05-29_final
2015-05-30 09:49:52	ga_ls8c_ard_3-0-0_095083_2015-05-30_final
2015-05-30 09:50:16	ga_ls8c_ard_3-0-0_095084_2015-05-30_final
2015-05-30 11:28:46	ga_ls8c_ard_3-0-0_111083_2015-05-30_final
2015-05-30 11:29:10	ga_ls8c_ard_3-0-0_111084_2015-05-30_final
2015-05-31 10:33:09	ga_ls8c_ard_3-0-0_102083_2015-05-31_final
2015-06-11 10:14:46	ga_ls8c_ard_3-0-0_099083_2015-06-11_final
2015-06-11 10:15:10	ga_ls8c_ard_3-0-0_099084_2015-06-11_final
2015-06-12 09:19:09	ga_ls8c_ard_3-0-0_090083_2015-06-11_final
2015-06-12 09:19:33	ga_ls8c_ard_3-0-0_090084_2015-06-11_final
2015-06-12 10:58:02	ga_ls8c_ard_3-0-0_106083_2015-06-12_final
2015-06-12 10:58:26	ga_ls8c_ard_3-0-0_106084_2015-06-12_final
2015-06-13 10:02:25	ga_ls8c_ard_3-0-0_097083_2015-06-13_final
2015-06-13 10:02:49	ga_ls8c_ard_3-0-0_097084_2015-06-13_final
2015-06-13 11:41:18	ga_ls8c_ard_3-0-0_113083_2015-06-13_final
2015-06-13 11:41:42	ga_ls8c_ard_3-0-0_113084_2015-06-13_final
2015-06-14 09:06:49	ga_ls8c_ard_3-0-0_088083_2015-06-13_final
2015-06-14 09:07:12	ga_ls8c_ard_3-0-0_088084_2015-06-13_final
2015-06-14 10:45:42	ga_ls8c_ard_3-0-0_104083_2015-06-14_final
2015-06-15 09:50:05	ga_ls8c_ard_3-0-0_095083_2015-06-15_final
2015-06-15 09:50:29	ga_ls8c_ard_3-0-0_095084_2015-06-15_final
2015-06-15 11:28:58	ga_ls8c_ard_3-0-0_111083_2015-06-15_final
2015-06-15 11:29:22	ga_ls8c_ard_3-0-0_111084_2015-06-15_final
2015-06-16 10:33:21	ga_ls8c_ard_3-0-0_102083_2015-06-16_final
2017-09-24 09:50:59	ga_ls8c_ard_3-0-0_095083_2017-09-24_final
2017-09-24 09:51:23	ga_ls8c_ard_3-0-0_095084_2017-09-24_final
2017-09-24 11:29:52	ga_ls8c_ard_3-0-0_111083_2017-09-24_final
2017-09-24 11:30:16	ga_ls8c_ard_3-0-0_111084_2017-09-24_final
2017-09-25 10:34:15	ga_ls8c_ard_3-0-0_102083_2017-09-25_final
2017-11-23 10:15:43	ga_ls8c_ard_3-0-0_099083_2017-11-23_final
2017-11-23 10:16:07	ga_ls8c_ard_3-0-0_099084_2017-11-23_final
2017-11-24 09:20:05	ga_ls8c_ard_3-0-0_090083_2017-11-23_final
2017-11-24 09:20:29	ga_ls8c_ard_3-0-0_090084_2017-11-23_final
2017-11-24 10:58:58	ga_ls8c_ard_3-0-0_106083_2017-11-24_final
2017-11-24 10:59:22	ga_ls8c_ard_3-0-0_106084_2017-11-24_final
2017-11-25 10:03:44	ga_ls8c_ard_3-0-0_097084_2017-11-25_final
2017-11-25 11:42:37	ga_ls8c_ard_3-0-0_113084_2017-11-25_final
2017-12-02 10:09:29	ga_ls8c_ard_3-0-0_098083_2017-12-02_final
2017-12-02 10:09:53	ga_ls8c_ard_3-0-0_098084_2017-12-02_final
2017-12-03 09:13:51	ga_ls8c_ard_3-0-0_089083_2017-12-02_final
2017-12-03 09:14:15	ga_ls8c_ard_3-0-0_089084_2017-12-02_final
2017-12-03 10:52:44	ga_ls8c_ard_3-0-0_105083_2017-12-03_final
2017-12-04 09:57:07	ga_ls8c_ard_3-0-0_096083_2017-12-04_final
2017-12-04 09:57:31	ga_ls8c_ard_3-0-0_096084_2017-12-04_final
2017-12-04 11:36:00	ga_ls8c_ard_3-0-0_112083_2017-12-04_final
2017-12-04 11:36:24	ga_ls8c_ard_3-0-0_112084_2017-12-04_final
2017-12-25 10:15:42	ga_ls8c_ard_3-0-0_099083_2017-12-25_final
2017-12-25 10:16:06	ga_ls8c_ard_3-0-0_099084_2017-12-25_final
2017-12-26 09:20:28	ga_ls8c_ard_3-0-0_090084_2017-12-25_final
2017-12-26 10:59:21	ga_ls8c_ard_3-0-0_106084_2017-12-26_final
2017-12-27 10:03:44	ga_ls8c_ard_3-0-0_097084_2017-12-27_final
2017-12-27 11:42:13	ga_ls8c_ard_3-0-0_113083_2017-12-27_final
2017-12-27 11:42:37	ga_ls8c_ard_3-0-0_113084_2017-12-27_final
2019-08-17 09:26:13	ga_ls8c_ard_3-1-0_091083_2019-08-16_final
2019-08-17 09:26:37	ga_ls8c_ard_3-1-0_091084_2019-08-16_final
2019-08-17 11:05:06	ga_ls8c_ard_3-1-0_107083_2019-08-17_final
2019-08-17 11:05:30	ga_ls8c_ard_3-1-0_107084_2019-08-17_final
2019-08-18 10:09:29	ga_ls8c_ard_3-1-0_098083_2019-08-18_final
2019-08-18 10:09:53	ga_ls8c_ard_3-1-0_098084_2019-08-18_final
2019-08-19 09:13:52	ga_ls8c_ard_3-1-0_089083_2019-08-18_final
2019-08-19 09:14:16	ga_ls8c_ard_3-1-0_089084_2019-08-18_final
2019-08-19 10:52:45	ga_ls8c_ard_3-1-0_105083_2019-08-19_final
2019-08-20 09:57:08	ga_ls8c_ard_3-1-0_096083_2019-08-20_final
2019-08-20 09:57:32	ga_ls8c_ard_3-1-0_096084_2019-08-20_final
2019-08-20 11:36:01	ga_ls8c_ard_3-1-0_112083_2019-08-20_final
2019-08-20 11:36:25	ga_ls8c_ard_3-1-0_112084_2019-08-20_final
2019-10-22 09:14:30	ga_ls8c_ard_3-1-0_089084_2019-10-21_final
2019-10-22 10:52:59	ga_ls8c_ard_3-1-0_105083_2019-10-22_final
2019-10-23 09:57:22	ga_ls8c_ard_3-1-0_096083_2019-10-23_final
2019-10-23 09:57:46	ga_ls8c_ard_3-1-0_096084_2019-10-23_final
2019-10-23 11:36:15	ga_ls8c_ard_3-1-0_112083_2019-10-23_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