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 11:12:05	ga_ls8c_ard_3-0-0_108081_2013-10-26_final
2013-10-26 11:12:29	ga_ls8c_ard_3-0-0_108082_2013-10-26_final
2013-10-27 10:16:51	ga_ls8c_ard_3-0-0_099082_2013-10-27_final
2013-10-28 09:21:12	ga_ls8c_ard_3-0-0_090082_2013-10-27_final
2013-10-28 10:59:41	ga_ls8c_ard_3-0-0_106081_2013-10-28_final
2013-10-28 11:00:05	ga_ls8c_ard_3-0-0_106082_2013-10-28_final
2013-10-29 10:04:04	ga_ls8c_ard_3-0-0_097081_2013-10-29_final
2013-10-29 10:04:28	ga_ls8c_ard_3-0-0_097082_2013-10-29_final
2013-10-29 11:43:21	ga_ls8c_ard_3-0-0_113082_2013-10-29_final
2013-10-30 10:47:44	ga_ls8c_ard_3-0-0_104082_2013-10-30_final
2013-11-12 10:16:27	ga_ls8c_ard_3-0-0_099081_2013-11-12_final
2013-11-12 10:16:50	ga_ls8c_ard_3-0-0_099082_2013-11-12_final
2013-11-13 09:21:13	ga_ls8c_ard_3-0-0_090082_2013-11-12_final
2013-11-14 10:04:04	ga_ls8c_ard_3-0-0_097081_2013-11-14_final
2013-11-14 10:04:28	ga_ls8c_ard_3-0-0_097082_2013-11-14_final
2013-11-14 11:43:21	ga_ls8c_ard_3-0-0_113082_2013-11-14_final
2013-11-15 09:08:50	ga_ls8c_ard_3-0-0_088082_2013-11-14_final
2013-11-15 10:47:43	ga_ls8c_ard_3-0-0_104082_2013-11-15_final
2013-11-16 09:52:05	ga_ls8c_ard_3-0-0_095082_2013-11-16_final
2013-11-16 11:30:58	ga_ls8c_ard_3-0-0_111082_2013-11-16_final
2013-11-17 10:35:20	ga_ls8c_ard_3-0-0_102082_2013-11-17_final
2013-11-30 10:04:22	ga_ls8c_ard_3-0-0_097082_2013-11-30_final
2013-11-30 11:43:16	ga_ls8c_ard_3-0-0_113082_2013-11-30_final
2013-12-01 10:47:38	ga_ls8c_ard_3-0-0_104082_2013-12-01_final
2013-12-02 09:52:01	ga_ls8c_ard_3-0-0_095082_2013-12-02_final
2013-12-02 11:30:54	ga_ls8c_ard_3-0-0_111082_2013-12-02_final
2013-12-03 10:35:17	ga_ls8c_ard_3-0-0_102082_2013-12-03_final
2013-12-18 09:51:29	ga_ls8c_ard_3-0-0_095081_2013-12-18_final
2013-12-18 09:51:53	ga_ls8c_ard_3-0-0_095082_2013-12-18_final
2013-12-19 10:35:08	ga_ls8c_ard_3-0-0_102082_2013-12-19_final
2013-12-20 09:39:30	ga_ls8c_ard_3-0-0_093082_2013-12-20_final
2013-12-22 09:27:08	ga_ls8c_ard_3-0-0_091082_2013-12-21_final
2013-12-22 11:06:01	ga_ls8c_ard_3-0-0_107082_2013-12-22_final
2013-12-23 10:10:23	ga_ls8c_ard_3-0-0_098082_2013-12-23_final
2019-11-28 09:31:46	ga_ls8c_ard_3-1-0_092081_2019-11-28_final
2019-11-28 09:32:10	ga_ls8c_ard_3-1-0_092082_2019-11-28_final
2019-11-28 11:11:03	ga_ls8c_ard_3-1-0_108082_2019-11-28_final
2019-11-29 10:15:02	ga_ls8c_ard_3-1-0_099081_2019-11-29_final
2019-11-29 10:15:26	ga_ls8c_ard_3-1-0_099082_2019-11-29_final
2019-11-30 09:19:49	ga_ls8c_ard_3-1-0_090082_2019-11-29_final
2019-11-30 10:58:42	ga_ls8c_ard_3-1-0_106082_2019-11-30_final
2019-12-01 10:02:40	ga_ls8c_ard_3-1-0_097081_2019-12-01_final
2019-12-01 10:03:04	ga_ls8c_ard_3-1-0_097082_2019-12-01_final
2019-12-01 11:41:57	ga_ls8c_ard_3-1-0_113082_2019-12-01_final
2019-12-02 09:07:03	ga_ls8c_ard_3-1-0_088081_2019-12-01_final
2019-12-02 09:07:27	ga_ls8c_ard_3-1-0_088082_2019-12-01_final
2019-12-02 10:45:56	ga_ls8c_ard_3-1-0_104081_2019-12-02_final
2019-12-02 10:46:20	ga_ls8c_ard_3-1-0_104082_2019-12-02_final
2020-01-09 10:08:44	ga_ls8c_ard_3-1-0_098081_2020-01-09_final
2020-01-09 10:09:08	ga_ls8c_ard_3-1-0_098082_2020-01-09_final
2020-01-09 11:47:37	ga_ls8c_ard_3-1-0_114081_2020-01-09_final
2020-01-10 09:13:06	ga_ls8c_ard_3-1-0_089081_2020-01-09_final
2020-01-10 09:13:30	ga_ls8c_ard_3-1-0_089082_2020-01-09_final
2020-01-10 10:51:59	ga_ls8c_ard_3-1-0_105081_2020-01-10_final
2020-01-10 10:52:23	ga_ls8c_ard_3-1-0_105082_2020-01-10_final
2020-01-25 10:09:04	ga_ls8c_ard_3-1-0_098082_2020-01-25_final
2020-01-25 11:47:33	ga_ls8c_ard_3-1-0_114081_2020-01-25_final
2020-01-26 09:13:02	ga_ls8c_ard_3-1-0_089081_2020-01-25_final
2020-01-26 09:13:26	ga_ls8c_ard_3-1-0_089082_2020-01-25_final
2020-01-26 10:52:19	ga_ls8c_ard_3-1-0_105082_2020-01-26_final
2021-02-04 09:19:37	ga_ls8c_ard_3-2-0_090082_2021-02-03_final
2021-02-04 10:58:30	ga_ls8c_ard_3-2-0_106082_2021-02-04_final
2021-02-05 10:02:28	ga_ls8c_ard_3-2-0_097081_2021-02-05_final
2021-02-05 10:02:52	ga_ls8c_ard_3-2-0_097082_2021-02-05_final
2021-02-12 10:08:38	ga_ls8c_ard_3-2-0_098081_2021-02-12_final
2021-02-12 10:09:02	ga_ls8c_ard_3-2-0_098082_2021-02-12_final
2021-02-13 09:13:24	ga_ls8c_ard_3-2-0_089082_2021-02-12_final
2021-02-13 10:52:17	ga_ls8c_ard_3-2-0_105082_2021-02-13_final
2021-02-14 09:56:39	ga_ls8c_ard_3-2-0_096082_2021-02-14_final
2021-02-14 11:35:32	ga_ls8c_ard_3-2-0_112082_2021-02-14_final
2021-02-15 10:39:55	ga_ls8c_ard_3-2-0_103082_2021-02-15_final
2021-02-16 09:44:17	ga_ls8c_ard_3-2-0_094082_2021-02-16_final
2021-02-16 11:23:10	ga_ls8c_ard_3-2-0_110082_2021-02-16_final
2021-02-23 09:50:25	ga_ls8c_ard_3-2-0_095082_2021-02-23_final
2021-02-23 11:28:54	ga_ls8c_ard_3-2-0_111081_2021-02-23_final
2021-02-23 11:29:18	ga_ls8c_ard_3-2-0_111082_2021-02-23_final
2021-02-24 10:33:41	ga_ls8c_ard_3-2-0_102082_2021-02-24_final
2021-02-25 09:38:03	ga_ls8c_ard_3-2-0_093082_2021-02-25_final
2021-02-25 11:16:56	ga_ls8c_ard_3-2-0_109082_2021-02-25_final
2021-02-26 08:42:25	ga_ls8c_ard_3-2-1_084082_2021-02-25_final
2021-02-26 10:21:18	ga_ls8c_ard_3-2-0_100082_2021-02-26_final
2021-02-27 09:25:40	ga_ls8c_ard_3-2-0_091082_2021-02-26_final
2021-02-27 11:04:33	ga_ls8c_ard_3-2-0_107082_2021-02-27_final
2021-03-10 09:07:02	ga_ls8c_ard_3-2-0_088082_2021-03-09_final
2021-03-10 10:45:55	ga_ls8c_ard_3-2-0_104082_2021-03-10_final
2021-03-11 09:50:17	ga_ls8c_ard_3-2-0_095082_2021-03-11_final
2021-03-11 11:29:10	ga_ls8c_ard_3-2-0_111082_2021-03-11_final
2021-03-12 10:33:32	ga_ls8c_ard_3-2-0_102082_2021-03-12_final
2021-03-13 09:37:54	ga_ls8c_ard_3-2-0_093082_2021-03-13_final
2021-07-26 09:44:13	ga_ls8c_ard_3-2-0_094082_2021-07-26_final
2021-07-26 11:23:06	ga_ls8c_ard_3-2-0_110082_2021-07-26_final
2021-07-27 08:48:36	ga_ls8c_ard_3-2-1_085082_2021-07-26_final
2021-07-27 10:27:29	ga_ls8c_ard_3-2-0_101082_2021-07-27_final
2021-07-28 09:31:29	ga_ls8c_ard_3-2-0_092081_2021-07-28_final
2021-07-28 09:31:53	ga_ls8c_ard_3-2-0_092082_2021-07-28_final
2021-07-28 11:10:46	ga_ls8c_ard_3-2-0_108082_2021-07-28_final
2021-07-29 10:14:45	ga_ls8c_ard_3-2-0_099081_2021-07-29_final
2021-07-29 10:15:09	ga_ls8c_ard_3-2-0_099082_2021-07-29_final
2021-07-30 09:19:32	ga_ls8c_ard_3-2-0_090082_2021-07-29_final
2021-07-30 10:58:25	ga_ls8c_ard_3-2-0_106082_2021-07-30_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