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
2013-11-16 09:51:41	ga_ls8c_ard_3-0-0_095081_2013-11-16_final
2013-11-16 11:30:34	ga_ls8c_ard_3-0-0_111081_2013-11-16_final
2013-11-17 10:34:56	ga_ls8c_ard_3-0-0_102081_2013-11-17_final
2013-11-18 09:38:54	ga_ls8c_ard_3-0-0_093080_2013-11-18_final
2013-11-18 09:39:18	ga_ls8c_ard_3-0-0_093081_2013-11-18_final
2013-11-18 11:18:11	ga_ls8c_ard_3-0-0_109081_2013-11-18_final
2013-11-19 10:22:33	ga_ls8c_ard_3-0-0_100081_2013-11-19_final
2013-11-20 09:26:54	ga_ls8c_ard_3-0-0_091081_2013-11-19_final
2013-11-20 11:05:23	ga_ls8c_ard_3-0-0_107080_2013-11-20_final
2013-11-20 11:05:47	ga_ls8c_ard_3-0-0_107081_2013-11-20_final
2013-12-08 09:14:08	ga_ls8c_ard_3-0-0_089080_2013-12-07_final
2013-12-08 09:14:31	ga_ls8c_ard_3-0-0_089081_2013-12-07_final
2013-12-08 10:53:24	ga_ls8c_ard_3-0-0_105081_2013-12-08_final
2013-12-09 09:57:47	ga_ls8c_ard_3-0-0_096081_2013-12-09_final
2013-12-09 11:36:40	ga_ls8c_ard_3-0-0_112081_2013-12-09_final
2013-12-10 10:41:02	ga_ls8c_ard_3-0-0_103081_2013-12-10_final
2013-12-11 09:45:24	ga_ls8c_ard_3-0-0_094081_2013-12-11_final
2013-12-11 11:24:17	ga_ls8c_ard_3-0-0_110081_2013-12-11_final
2013-12-12 10:28:39	ga_ls8c_ard_3-0-0_101081_2013-12-12_final
2013-12-13 09:33:01	ga_ls8c_ard_3-0-0_092081_2013-12-13_final
2013-12-13 11:11:54	ga_ls8c_ard_3-0-0_108081_2013-12-13_final
2013-12-14 10:16:16	ga_ls8c_ard_3-0-0_099081_2013-12-14_final
2013-12-15 09:20:38	ga_ls8c_ard_3-0-0_090081_2013-12-14_final
2013-12-15 10:59:07	ga_ls8c_ard_3-0-0_106080_2013-12-15_final
2013-12-15 10:59:31	ga_ls8c_ard_3-0-0_106081_2013-12-15_final
2015-08-08 10:51:02	ga_ls8c_ard_3-0-0_105080_2015-08-08_final
2015-08-08 10:51:26	ga_ls8c_ard_3-0-0_105081_2015-08-08_final
2015-08-09 09:55:25	ga_ls8c_ard_3-0-0_096080_2015-08-09_final
2015-08-09 09:55:49	ga_ls8c_ard_3-0-0_096081_2015-08-09_final
2015-08-09 11:34:18	ga_ls8c_ard_3-0-0_112080_2015-08-09_final
2015-08-09 11:34:42	ga_ls8c_ard_3-0-0_112081_2015-08-09_final
2015-08-23 10:07:54	ga_ls8c_ard_3-0-0_098080_2015-08-23_final
2015-08-23 10:08:18	ga_ls8c_ard_3-0-0_098081_2015-08-23_final
2015-08-23 11:46:47	ga_ls8c_ard_3-0-0_114080_2015-08-23_final
2015-08-23 11:47:11	ga_ls8c_ard_3-0-0_114081_2015-08-23_final
2015-08-24 09:12:17	ga_ls8c_ard_3-0-0_089080_2015-08-23_final
2015-08-24 09:12:41	ga_ls8c_ard_3-0-0_089081_2015-08-23_final
2015-08-24 10:51:10	ga_ls8c_ard_3-0-0_105080_2015-08-24_final
2015-08-24 10:51:34	ga_ls8c_ard_3-0-0_105081_2015-08-24_final
2015-08-25 09:55:33	ga_ls8c_ard_3-0-0_096080_2015-08-25_final
2015-08-25 09:55:57	ga_ls8c_ard_3-0-0_096081_2015-08-25_final
2015-08-25 11:34:26	ga_ls8c_ard_3-0-0_112080_2015-08-25_final
2015-08-25 11:34:50	ga_ls8c_ard_3-0-0_112081_2015-08-25_final
2015-11-05 09:06:27	ga_ls8c_ard_3-0-0_088080_2015-11-04_final
2015-11-05 09:06:51	ga_ls8c_ard_3-1-0_088081_2015-11-04_final
2015-11-06 09:49:43	ga_ls8c_ard_3-0-0_095080_2015-11-06_final
2015-11-24 09:37:23	ga_ls8c_ard_3-0-0_093080_2015-11-24_final
2015-11-24 09:37:47	ga_ls8c_ard_3-0-0_093081_2015-11-24_final
2015-11-24 11:16:40	ga_ls8c_ard_3-0-0_109081_2015-11-24_final
2015-11-25 10:20:39	ga_ls8c_ard_3-0-0_100080_2015-11-25_final
2015-11-25 10:21:03	ga_ls8c_ard_3-0-0_100081_2015-11-25_final
2015-11-26 09:25:02	ga_ls8c_ard_3-0-0_091080_2015-11-25_final
2015-11-26 09:25:26	ga_ls8c_ard_3-0-0_091081_2015-11-25_final
2015-11-26 11:03:55	ga_ls8c_ard_3-0-0_107080_2015-11-26_final
2015-11-26 11:04:19	ga_ls8c_ard_3-0-0_107081_2015-11-26_final
2015-11-27 10:08:17	ga_ls8c_ard_3-0-0_098080_2015-11-27_final
2015-11-27 10:08:41	ga_ls8c_ard_3-0-0_098081_2015-11-27_final
2015-11-27 11:47:10	ga_ls8c_ard_3-0-0_114080_2015-11-27_final
2015-11-27 11:47:34	ga_ls8c_ard_3-0-0_114081_2015-11-27_final
2015-11-28 09:12:40	ga_ls8c_ard_3-0-0_089080_2015-11-27_final
2015-11-28 09:13:04	ga_ls8c_ard_3-0-0_089081_2015-11-27_final
2015-11-28 10:51:33	ga_ls8c_ard_3-0-0_105080_2015-11-28_final
2015-11-28 10:51:57	ga_ls8c_ard_3-0-0_105081_2015-11-28_final
2015-11-29 09:55:56	ga_ls8c_ard_3-0-0_096080_2015-11-29_final
2015-11-29 09:56:20	ga_ls8c_ard_3-0-0_096081_2015-11-29_final
2015-11-29 11:34:49	ga_ls8c_ard_3-0-0_112080_2015-11-29_final
2015-11-29 11:35:13	ga_ls8c_ard_3-0-0_112081_2015-11-29_final
2019-09-16 09:37:31	ga_ls8c_ard_3-1-0_093080_2019-09-16_final
2019-09-16 09:37:55	ga_ls8c_ard_3-1-0_093081_2019-09-16_final
2019-09-16 11:16:24	ga_ls8c_ard_3-1-0_109080_2019-09-16_final
2019-09-16 11:16:48	ga_ls8c_ard_3-1-0_109081_2019-09-16_final
2019-09-17 10:20:47	ga_ls8c_ard_3-1-0_100080_2019-09-17_final
2019-09-17 10:21:11	ga_ls8c_ard_3-1-0_100081_2019-09-17_final
2019-09-18 09:25:10	ga_ls8c_ard_3-1-0_091080_2019-09-17_final
2019-09-18 09:25:34	ga_ls8c_ard_3-1-0_091081_2019-09-17_final
2019-09-18 11:04:03	ga_ls8c_ard_3-1-0_107080_2019-09-18_final
2019-09-18 11:04:27	ga_ls8c_ard_3-1-0_107081_2019-09-18_final
2019-10-14 10:02:21	ga_ls8c_ard_3-1-0_097080_2019-10-14_final
2019-10-14 10:02:45	ga_ls8c_ard_3-1-0_097081_2019-10-14_final
2019-10-14 11:41:14	ga_ls8c_ard_3-1-0_113080_2019-10-14_final
2019-10-14 11:41:38	ga_ls8c_ard_3-1-0_113081_2019-10-14_final
2019-10-15 09:06:43	ga_ls8c_ard_3-1-0_088080_2019-10-14_final
2019-10-15 09:07:07	ga_ls8c_ard_3-1-0_088081_2019-10-14_final
2019-10-15 10:45:36	ga_ls8c_ard_3-1-0_104080_2019-10-15_final
2019-10-15 10:46:00	ga_ls8c_ard_3-1-0_104081_2019-10-15_final
2019-10-16 08:11:06	ga_ls8c_ard_3-2-1_079080_2019-10-15_final
2019-10-16 09:49:59	ga_ls8c_ard_3-1-0_095080_2019-10-16_final
2019-10-16 09:50:23	ga_ls8c_ard_3-1-0_095081_2019-10-16_final
2019-10-16 11:28:52	ga_ls8c_ard_3-1-0_111080_2019-10-16_final
2019-10-16 11:29:16	ga_ls8c_ard_3-1-0_111081_2019-10-16_final
2019-12-01 10:02:16	ga_ls8c_ard_3-1-0_097080_2019-12-01_final
2019-12-01 10:02:40	ga_ls8c_ard_3-1-0_097081_2019-12-01_final
2019-12-01 11:41:34	ga_ls8c_ard_3-1-0_113081_2019-12-01_final
2019-12-02 09:06:39	ga_ls8c_ard_3-1-0_088080_2019-12-01_final
2019-12-02 09:07:03	ga_ls8c_ard_3-1-0_088081_2019-12-01_final
2019-12-02 10:45:32	ga_ls8c_ard_3-1-0_104080_2019-12-02_final
2019-12-02 10:45:56	ga_ls8c_ard_3-1-0_104081_2019-12-02_final
2019-12-03 08:11:02	ga_ls8c_ard_3-2-1_079080_2019-12-02_final
2019-12-03 09:50:19	ga_ls8c_ard_3-1-0_095081_2019-12-03_final
2019-12-03 11:28:48	ga_ls8c_ard_3-1-0_111080_2019-12-03_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