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
2013-10-26 11:11:41	ga_ls8c_ard_3-0-0_108080_2013-10-26_final
2013-10-26 11:12:05	ga_ls8c_ard_3-0-0_108081_2013-10-26_final
2013-10-27 10:16:03	ga_ls8c_ard_3-0-0_099080_2013-10-27_final
2013-10-27 10:16:27	ga_ls8c_ard_3-0-0_099081_2013-10-27_final
2013-10-27 11:54:56	ga_ls8c_ard_3-0-0_115080_2013-10-27_final
2013-10-28 09:20:24	ga_ls8c_ard_3-0-0_090080_2013-10-27_final
2013-10-28 09:20:48	ga_ls8c_ard_3-0-0_090081_2013-10-27_final
2013-10-28 10:59:17	ga_ls8c_ard_3-0-0_106080_2013-10-28_final
2013-10-28 10:59:41	ga_ls8c_ard_3-0-0_106081_2013-10-28_final
2013-10-29 10:03:40	ga_ls8c_ard_3-0-0_097080_2013-10-29_final
2013-10-29 10:04:04	ga_ls8c_ard_3-0-0_097081_2013-10-29_final
2013-10-29 11:42:33	ga_ls8c_ard_3-0-0_113080_2013-10-29_final
2013-10-29 11:42:57	ga_ls8c_ard_3-0-0_113081_2013-10-29_final
2013-10-30 09:08:03	ga_ls8c_ard_3-0-0_088080_2013-10-29_final
2013-10-30 09:08:27	ga_ls8c_ard_3-1-0_088081_2013-10-29_final
2013-10-30 10:46:56	ga_ls8c_ard_3-0-0_104080_2013-10-30_final
2013-10-30 10:47:20	ga_ls8c_ard_3-0-0_104081_2013-10-30_final
2013-11-14 10:03:40	ga_ls8c_ard_3-0-0_097080_2013-11-14_final
2013-11-14 10:04:04	ga_ls8c_ard_3-0-0_097081_2013-11-14_final
2013-11-30 10:03:35	ga_ls8c_ard_3-0-0_097080_2013-11-30_final
2013-11-30 10:03:58	ga_ls8c_ard_3-0-0_097081_2013-11-30_final
2013-11-30 11:42:28	ga_ls8c_ard_3-0-0_113080_2013-11-30_final
2013-11-30 11:42:52	ga_ls8c_ard_3-0-0_113081_2013-11-30_final
2013-12-01 10:46:50	ga_ls8c_ard_3-0-0_104080_2013-12-01_final
2013-12-01 10:47:14	ga_ls8c_ard_3-0-0_104081_2013-12-01_final
2013-12-02 09:51:13	ga_ls8c_ard_3-0-0_095080_2013-12-02_final
2013-12-02 09:51:37	ga_ls8c_ard_3-0-0_095081_2013-12-02_final
2013-12-02 11:30:06	ga_ls8c_ard_3-0-0_111080_2013-12-02_final
2013-12-02 11:30:30	ga_ls8c_ard_3-0-0_111081_2013-12-02_final
2013-12-03 10:34:29	ga_ls8c_ard_3-0-0_102080_2013-12-03_final
2013-12-03 10:34:53	ga_ls8c_ard_3-0-0_102081_2013-12-03_final
2019-11-28 09:31:22	ga_ls8c_ard_3-1-0_092080_2019-11-28_final
2019-11-28 09:31:46	ga_ls8c_ard_3-1-0_092081_2019-11-28_final
2019-11-28 11:10:15	ga_ls8c_ard_3-1-0_108080_2019-11-28_final
2019-11-28 11:10:39	ga_ls8c_ard_3-1-0_108081_2019-11-28_final
2019-11-29 10:14:38	ga_ls8c_ard_3-1-0_099080_2019-11-29_final
2019-11-29 10:15:02	ga_ls8c_ard_3-1-0_099081_2019-11-29_final
2019-11-29 11:53:31	ga_ls8c_ard_3-1-0_115080_2019-11-29_final
2019-11-30 09:19:01	ga_ls8c_ard_3-1-0_090080_2019-11-29_final
2019-11-30 09:19:25	ga_ls8c_ard_3-1-0_090081_2019-11-29_final
2019-11-30 10:57:54	ga_ls8c_ard_3-1-0_106080_2019-11-30_final
2019-11-30 10:58:18	ga_ls8c_ard_3-1-0_106081_2019-11-30_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 11:41:10	ga_ls8c_ard_3-1-0_113080_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
2020-01-09 10:08:20	ga_ls8c_ard_3-1-0_098080_2020-01-09_final
2020-01-09 10:08:44	ga_ls8c_ard_3-1-0_098081_2020-01-09_final
2020-01-09 11:47:13	ga_ls8c_ard_3-1-0_114080_2020-01-09_final
2020-01-09 11:47:37	ga_ls8c_ard_3-1-0_114081_2020-01-09_final
2020-01-10 09:12:42	ga_ls8c_ard_3-1-0_089080_2020-01-09_final
2020-01-10 09:13:06	ga_ls8c_ard_3-1-0_089081_2020-01-09_final
2020-01-10 10:51:35	ga_ls8c_ard_3-1-0_105080_2020-01-10_final
2020-01-10 10:51:59	ga_ls8c_ard_3-1-0_105081_2020-01-10_final
2020-01-25 10:08:16	ga_ls8c_ard_3-1-0_098080_2020-01-25_final
2020-01-25 10:08:40	ga_ls8c_ard_3-1-0_098081_2020-01-25_final
2020-01-25 11:47:09	ga_ls8c_ard_3-1-0_114080_2020-01-25_final
2020-01-25 11:47:33	ga_ls8c_ard_3-1-0_114081_2020-01-25_final
2020-01-26 09:12:38	ga_ls8c_ard_3-1-0_089080_2020-01-25_final
2020-01-26 09:13:02	ga_ls8c_ard_3-1-0_089081_2020-01-25_final
2020-01-26 10:51:31	ga_ls8c_ard_3-1-0_105080_2020-01-26_final
2020-01-26 10:51:55	ga_ls8c_ard_3-1-0_105081_2020-01-26_final
2021-02-03 11:53:19	ga_ls8c_ard_3-2-0_115080_2021-02-03_final
2021-02-04 09:18:49	ga_ls8c_ard_3-2-0_090080_2021-02-03_final
2021-02-04 09:19:13	ga_ls8c_ard_3-2-0_090081_2021-02-03_final
2021-02-04 10:57:42	ga_ls8c_ard_3-2-0_106080_2021-02-04_final
2021-02-04 10:58:06	ga_ls8c_ard_3-2-0_106081_2021-02-04_final
2021-02-05 10:02:04	ga_ls8c_ard_3-2-0_097080_2021-02-05_final
2021-02-05 10:02:28	ga_ls8c_ard_3-2-0_097081_2021-02-05_final
2021-02-23 09:49:38	ga_ls8c_ard_3-2-0_095080_2021-02-23_final
2021-02-23 09:50:01	ga_ls8c_ard_3-2-0_095081_2021-02-23_final
2021-02-23 11:28:31	ga_ls8c_ard_3-2-0_111080_2021-02-23_final
2021-02-23 11:28:54	ga_ls8c_ard_3-2-0_111081_2021-02-23_final
2021-02-24 10:32:53	ga_ls8c_ard_3-2-0_102080_2021-02-24_final
2021-02-24 10:33:17	ga_ls8c_ard_3-2-0_102081_2021-02-24_final
2021-02-25 09:37:15	ga_ls8c_ard_3-2-0_093080_2021-02-25_final
2021-02-25 09:37:39	ga_ls8c_ard_3-2-0_093081_2021-02-25_final
2021-02-25 11:16:08	ga_ls8c_ard_3-2-0_109080_2021-02-25_final
2021-02-25 11:16:32	ga_ls8c_ard_3-2-0_109081_2021-02-25_final
2021-02-26 10:20:30	ga_ls8c_ard_3-2-0_100080_2021-02-26_final
2021-02-26 10:20:54	ga_ls8c_ard_3-2-0_100081_2021-02-26_final
2021-02-27 09:24:53	ga_ls8c_ard_3-2-0_091080_2021-02-26_final
2021-02-27 09:25:17	ga_ls8c_ard_3-2-0_091081_2021-02-26_final
2021-02-27 11:03:46	ga_ls8c_ard_3-2-0_107080_2021-02-27_final
2021-02-27 11:04:09	ga_ls8c_ard_3-2-0_107081_2021-02-27_final
2021-03-10 09:06:14	ga_ls8c_ard_3-2-0_088080_2021-03-09_final
2021-03-10 09:06:38	ga_ls8c_ard_3-2-0_088081_2021-03-09_final
2021-03-10 10:45:07	ga_ls8c_ard_3-2-0_104080_2021-03-10_final
2021-03-10 10:45:31	ga_ls8c_ard_3-2-0_104081_2021-03-10_final
2021-03-11 08:10:36	ga_ls8c_ard_3-2-1_079080_2021-03-10_final
2021-03-11 09:49:29	ga_ls8c_ard_3-2-0_095080_2021-03-11_final
2021-03-11 09:49:53	ga_ls8c_ard_3-2-0_095081_2021-03-11_final
2021-03-11 11:28:46	ga_ls8c_ard_3-2-0_111081_2021-03-11_final
2021-03-12 10:32:44	ga_ls8c_ard_3-2-0_102080_2021-03-12_final
2021-03-12 10:33:08	ga_ls8c_ard_3-2-0_102081_2021-03-12_final
2021-03-13 09:37:06	ga_ls8c_ard_3-2-0_093080_2021-03-13_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