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
2013-04-07 10:48:08	ga_ls8c_ard_3-0-0_104082_2013-04-07_final
2013-04-08 09:48:27	ga_ls8c_ard_3-0-0_094082_2013-04-08_final
2013-04-09 10:29:34	ga_ls8c_ard_3-0-0_101082_2013-04-09_final
2013-04-10 11:10:40	ga_ls8c_ard_3-0-0_108082_2013-04-10_final
2013-04-11 10:13:01	ga_ls8c_ard_3-0-0_098082_2013-04-11_final
2013-04-12 09:15:23	ga_ls8c_ard_3-0-0_089082_2013-04-11_final
2013-04-12 10:54:07	ga_ls8c_ard_3-0-0_105082_2013-04-12_final
2013-04-13 09:58:22	ga_ls8c_ard_3-0-0_096082_2013-04-13_final
2013-04-13 11:37:15	ga_ls8c_ard_3-0-0_112082_2013-04-13_final
2013-06-25 09:52:20	ga_ls8c_ard_3-0-0_095082_2013-06-25_final
2013-06-25 11:31:13	ga_ls8c_ard_3-0-0_111082_2013-06-25_final
2013-06-27 09:39:59	ga_ls8c_ard_3-0-0_093082_2013-06-27_final
2013-06-27 11:18:52	ga_ls8c_ard_3-0-0_109082_2013-06-27_final
2013-06-28 10:23:15	ga_ls8c_ard_3-0-0_100082_2013-06-28_final
2013-06-29 09:27:38	ga_ls8c_ard_3-0-0_091082_2013-06-28_final
2013-06-29 11:06:07	ga_ls8c_ard_3-0-0_107081_2013-06-29_final
2013-06-29 11:06:31	ga_ls8c_ard_3-1-0_107082_2013-06-29_final
2013-06-30 10:10:54	ga_ls8c_ard_3-0-0_098082_2013-06-30_final
2013-06-30 11:49:23	ga_ls8c_ard_3-0-0_114081_2013-06-30_final
2013-07-01 09:14:53	ga_ls8c_ard_3-0-0_089081_2013-06-30_final
2013-07-01 09:15:17	ga_ls8c_ard_3-0-0_089082_2013-06-30_final
2013-11-01 10:35:23	ga_ls8c_ard_3-0-0_102082_2013-11-01_final
2013-11-02 09:39:46	ga_ls8c_ard_3-0-0_093082_2013-11-02_final
2013-11-02 11:18:39	ga_ls8c_ard_3-0-0_109082_2013-11-02_final
2013-11-03 10:23:02	ga_ls8c_ard_3-0-0_100082_2013-11-03_final
2013-11-04 09:27:25	ga_ls8c_ard_3-0-0_091082_2013-11-03_final
2013-11-04 11:06:18	ga_ls8c_ard_3-1-0_107082_2013-11-04_final
2013-11-05 10:10:41	ga_ls8c_ard_3-0-0_098082_2013-11-05_final
2013-11-06 09:15:03	ga_ls8c_ard_3-0-0_089082_2013-11-05_final
2013-11-09 09:45:57	ga_ls8c_ard_3-0-0_094082_2013-11-09_final
2013-11-09 11:24:50	ga_ls8c_ard_3-0-0_110082_2013-11-09_final
2013-11-10 10:29:13	ga_ls8c_ard_3-0-0_101082_2013-11-10_final
2013-11-11 09:33:35	ga_ls8c_ard_3-0-0_092082_2013-11-11_final
2013-11-11 11:12:28	ga_ls8c_ard_3-0-0_108082_2013-11-11_final
2014-07-25 09:31:44	ga_ls8c_ard_3-0-0_092082_2014-07-25_final
2014-07-25 11:10:37	ga_ls8c_ard_3-0-0_108082_2014-07-25_final
2014-07-26 10:14:36	ga_ls8c_ard_3-0-0_099081_2014-07-26_final
2014-07-26 10:15:00	ga_ls8c_ard_3-0-0_099082_2014-07-26_final
2014-07-27 09:19:24	ga_ls8c_ard_3-0-0_090082_2014-07-26_final
2014-07-27 10:58:17	ga_ls8c_ard_3-0-0_106082_2014-07-27_final
2014-10-07 10:08:44	ga_ls8c_ard_3-0-0_098081_2014-10-07_final
2014-10-07 10:09:08	ga_ls8c_ard_3-0-0_098082_2014-10-07_final
2014-10-07 11:47:37	ga_ls8c_ard_3-0-0_114081_2014-10-07_final
2014-10-08 09:13:07	ga_ls8c_ard_3-0-0_089081_2014-10-07_final
2014-10-08 09:13:31	ga_ls8c_ard_3-0-0_089082_2014-10-07_final
2014-10-08 10:52:24	ga_ls8c_ard_3-0-0_105082_2014-10-08_final
2014-10-09 09:56:22	ga_ls8c_ard_3-0-0_096081_2014-10-09_final
2014-10-09 09:56:46	ga_ls8c_ard_3-0-0_096082_2014-10-09_final
2014-10-09 11:35:15	ga_ls8c_ard_3-0-0_112081_2014-10-09_final
2014-10-09 11:35:39	ga_ls8c_ard_3-0-0_112082_2014-10-09_final
2014-10-10 10:40:02	ga_ls8c_ard_3-0-0_103082_2014-10-10_final
2014-10-11 09:44:25	ga_ls8c_ard_3-0-0_094082_2014-10-11_final
2014-10-11 11:23:18	ga_ls8c_ard_3-0-0_110082_2014-10-11_final
2014-10-12 10:27:17	ga_ls8c_ard_3-0-0_101081_2014-10-12_final
2014-10-12 10:27:41	ga_ls8c_ard_3-0-0_101082_2014-10-12_final
2014-10-19 10:33:54	ga_ls8c_ard_3-0-0_102082_2014-10-19_final
2014-10-20 09:37:52	ga_ls8c_ard_3-0-0_093081_2014-10-20_final
2014-10-20 09:38:16	ga_ls8c_ard_3-0-0_093082_2014-10-20_final
2014-10-20 11:17:09	ga_ls8c_ard_3-0-0_109082_2014-10-20_final
2014-10-21 10:21:08	ga_ls8c_ard_3-0-0_100081_2014-10-21_final
2014-10-21 10:21:32	ga_ls8c_ard_3-0-0_100082_2014-10-21_final
2014-10-22 09:25:30	ga_ls8c_ard_3-0-0_091081_2014-10-21_final
2014-10-22 09:25:54	ga_ls8c_ard_3-0-0_091082_2014-10-21_final
2014-10-22 11:04:47	ga_ls8c_ard_3-1-0_107082_2014-10-22_final
2014-10-23 10:09:10	ga_ls8c_ard_3-0-0_098082_2014-10-23_final
2014-10-23 11:47:39	ga_ls8c_ard_3-0-0_114081_2014-10-23_final
2014-10-24 09:13:32	ga_ls8c_ard_3-0-0_089082_2014-10-23_final
2023-03-23 09:13:09	ga_ls8c_ard_3-2-1_089082_2023-03-22_final
2023-03-23 10:52:02	ga_ls8c_ard_3-2-1_105082_2023-03-23_final
2023-03-24 09:56:24	ga_ls8c_ard_3-2-1_096082_2023-03-24_final
2023-03-30 10:58:11	ga_ls8c_ard_3-2-1_106082_2023-03-30_final
2023-03-31 10:02:33	ga_ls8c_ard_3-2-1_097082_2023-03-31_final
2023-03-31 11:41:26	ga_ls8c_ard_3-2-1_113082_2023-03-31_final
2023-04-01 09:06:54	ga_ls8c_ard_3-2-1_088082_2023-03-31_final
2023-04-01 10:45:47	ga_ls8c_ard_3-2-1_104082_2023-04-01_final
2023-04-02 09:50:09	ga_ls8c_ard_3-2-1_095082_2023-04-02_final
2023-04-02 11:29:02	ga_ls8c_ard_3-2-1_111082_2023-04-02_final
2023-04-03 10:33:24	ga_ls8c_ard_3-2-1_102082_2023-04-03_final
2023-04-04 09:37:45	ga_ls8c_ard_3-2-1_093082_2023-04-04_final
2023-04-04 11:16:38	ga_ls8c_ard_3-2-1_109082_2023-04-04_final
2023-04-05 08:42:07	ga_ls8c_ard_3-2-1_084082_2023-04-04_final
2023-04-05 10:21:00	ga_ls8c_ard_3-2-1_100082_2023-04-05_final
2023-04-06 09:25:21	ga_ls8c_ard_3-2-1_091082_2023-04-05_final
2023-04-06 11:04:14	ga_ls8c_ard_3-2-1_107082_2023-04-06_final
2023-04-07 10:08:36	ga_ls8c_ard_3-2-1_098082_2023-04-07_final
2023-04-09 09:56:11	ga_ls8c_ard_3-2-1_096082_2023-04-09_final
2023-04-09 11:35:04	ga_ls8c_ard_3-2-1_112082_2023-04-09_final
2023-04-10 10:39:25	ga_ls8c_ard_3-2-1_103082_2023-04-10_final
2023-04-11 09:43:46	ga_ls8c_ard_3-2-1_094082_2023-04-11_final
2023-04-11 11:22:40	ga_ls8c_ard_3-2-1_110082_2023-04-11_final
2023-04-12 08:48:09	ga_ls8c_ard_3-2-1_085082_2023-04-11_final
2023-04-12 10:27:02	ga_ls8c_ard_3-2-1_101082_2023-04-12_final
2023-04-13 09:31:25	ga_ls8c_ard_3-2-1_092082_2023-04-13_final
2023-04-13 11:10:18	ga_ls8c_ard_3-2-1_108082_2023-04-13_final
2023-04-14 10:14:40	ga_ls8c_ard_3-2-1_099082_2023-04-14_final
2023-06-02 10:57:17	ga_ls8c_ard_3-2-1_106081_2023-06-02_final
2023-06-02 10:57:41	ga_ls8c_ard_3-2-1_106082_2023-06-02_final
2023-06-03 10:01:41	ga_ls8c_ard_3-2-1_097081_2023-06-03_final
2023-06-03 10:02:05	ga_ls8c_ard_3-2-1_097082_2023-06-03_final
2023-06-04 10:44:57	ga_ls8c_ard_3-2-1_104081_2023-06-04_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