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
2023-03-03 09:37:17	ga_ls8c_ard_3-2-1_093080_2023-03-03_final
2023-03-08 09:53:22	ga_ls8c_ard_3-2-1_096074_2023-03-08_final
2023-03-10 09:44:35	ga_ls8c_ard_3-2-1_094083_2023-03-10_final
2023-03-13 10:14:41	ga_ls8c_ard_3-2-1_099081_2023-03-13_final
2023-03-15 10:03:07	ga_ls8c_ard_3-2-1_097083_2023-03-15_final
2023-03-15 11:39:12	ga_ls8c_ard_3-2-1_113076_2023-03-15_final
2023-03-16 10:41:11	ga_ls8c_ard_3-2-1_104070_2023-03-16_final
2023-03-17 09:49:32	ga_ls8c_ard_3-2-1_095080_2023-03-17_final
2023-03-24 09:53:37	ga_ls8c_ard_3-2-1_096075_2023-03-24_final
2023-03-26 09:41:39	ga_ls8c_ard_3-2-1_094076_2023-03-26_final
2023-03-27 10:26:06	ga_ls8c_ard_3-2-1_101079_2023-03-27_final
2023-04-07 10:08:12	ga_ls8c_ard_3-2-1_098081_2023-04-07_final
2023-04-11 09:41:23	ga_ls8c_ard_3-2-1_094076_2023-04-11_final
2023-04-11 09:44:10	ga_ls8c_ard_3-2-1_094083_2023-04-11_final
2023-04-13 09:29:25	ga_ls8c_ard_3-2-1_092077_2023-04-12_final
2023-04-14 10:14:16	ga_ls8c_ard_3-2-1_099081_2023-04-14_final
2023-04-17 10:41:34	ga_ls8c_ard_3-2-1_104072_2023-04-17_final
2023-04-17 10:43:09	ga_ls8c_ard_3-2-1_104076_2023-04-17_final
2023-04-18 11:28:48	ga_ls8c_ard_3-2-1_111082_2023-04-18_final
2023-04-25 09:53:18	ga_ls8c_ard_3-2-1_096075_2023-04-25_final
2023-04-25 09:55:17	ga_ls8c_ard_3-2-1_096080_2023-04-25_final
2023-04-26 10:36:33	ga_ls8c_ard_3-2-1_103075_2023-04-26_final
2023-04-27 09:41:43	ga_ls8c_ard_3-2-1_094077_2023-04-27_final
2023-04-28 10:26:35	ga_ls8c_ard_3-2-1_101081_2023-04-28_final
2023-04-30 10:11:00	ga_ls8c_ard_3-2-1_099073_2023-04-30_final
2023-05-02 09:59:26	ga_ls8c_ard_3-2-1_097075_2023-05-02_final
2023-05-03 10:40:41	ga_ls8c_ard_3-2-1_104070_2023-05-03_final
2023-05-06 11:11:08	ga_ls8c_ard_3-2-1_109069_2023-05-06_final
2023-05-09 10:05:54	ga_ls8c_ard_3-2-1_098076_2023-05-09_final
2023-05-09 11:44:47	ga_ls8c_ard_3-2-1_114076_2023-05-09_final
2023-05-13 09:41:07	ga_ls8c_ard_3-2-1_094076_2023-05-13_final
2023-05-13 09:43:54	ga_ls8c_ard_3-2-1_094083_2023-05-13_final
2023-05-16 10:11:11	ga_ls8c_ard_3-2-1_099074_2023-05-16_final
2023-05-18 11:38:06	ga_ls8c_ard_3-2-1_113075_2023-05-18_final
2023-05-18 11:39:18	ga_ls8c_ard_3-2-1_113078_2023-05-18_final
2023-05-19 10:42:53	ga_ls8c_ard_3-2-1_104076_2023-05-19_final
2023-05-20 09:48:52	ga_ls8c_ard_3-2-1_095080_2023-05-20_final
2023-05-22 09:35:44	ga_ls8c_ard_3-2-1_093078_2023-05-22_final
2023-05-22 09:36:56	ga_ls8c_ard_3-2-1_093081_2023-05-22_final
2023-05-29 09:41:08	ga_ls8c_ard_3-2-1_094076_2023-05-29_final
2023-05-30 10:22:48	ga_ls8c_ard_3-2-1_101072_2023-05-30_final
2023-05-30 10:25:35	ga_ls8c_ard_3-2-1_101079_2023-05-30_final
2023-06-01 10:11:14	ga_ls8c_ard_3-2-1_099074_2023-06-01_final
2023-06-03 10:01:41	ga_ls8c_ard_3-2-1_097081_2023-06-03_final
2023-06-03 11:38:58	ga_ls8c_ard_3-2-1_113077_2023-06-03_final
2023-06-04 10:41:22	ga_ls8c_ard_3-2-1_104072_2023-06-04_final
2023-06-04 10:44:10	ga_ls8c_ard_3-2-1_104079_2023-06-04_final
2023-06-10 11:46:50	ga_ls8c_ard_3-2-1_114081_2023-06-10_final
2023-06-11 10:50:02	ga_ls8c_ard_3-2-1_105078_2023-06-11_final
2023-06-13 10:34:54	ga_ls8c_ard_3-2-1_103071_2023-06-13_final
2023-06-15 10:22:57	ga_ls8c_ard_3-2-1_101072_2023-06-15_final
2023-06-16 09:29:19	ga_ls8c_ard_3-2-1_092077_2023-06-15_final
2023-06-17 10:11:23	ga_ls8c_ard_3-2-1_099074_2023-06-17_final
2023-06-26 10:04:52	ga_ls8c_ard_3-2-1_098073_2023-06-26_final
2023-06-29 10:35:01	ga_ls8c_ard_3-2-1_103071_2023-06-29_final
2023-06-29 10:38:13	ga_ls8c_ard_3-2-1_103079_2023-06-29_final
2023-07-01 10:23:05	ga_ls8c_ard_3-2-1_101072_2023-07-01_final
2023-07-06 10:44:29	ga_ls8c_ard_3-2-1_104079_2023-07-06_final
2023-07-07 11:28:09	ga_ls8c_ard_3-2-1_111080_2023-07-07_final
2023-07-20 10:56:05	ga_ls8c_ard_3-2-1_106077_2023-07-20_final
2023-07-21 09:59:40	ga_ls8c_ard_3-2-1_097075_2023-07-21_final
2023-07-23 09:48:32	ga_ls8c_ard_3-2-1_095078_2023-07-23_final
2023-07-25 09:35:48	ga_ls8c_ard_3-2-1_093077_2023-07-25_final
2023-07-27 09:23:52	ga_ls8c_ard_3-2-1_091078_2023-07-26_final
2023-07-29 10:47:13	ga_ls8c_ard_3-2-1_105070_2023-07-29_final
2023-07-29 10:50:25	ga_ls8c_ard_3-2-1_105078_2023-07-29_final
2023-07-31 10:36:53	ga_ls8c_ard_3-2-1_103075_2023-07-31_final
2023-08-01 11:18:09	ga_ls8c_ard_3-2-1_110070_2023-08-01_final
2023-08-07 10:44:41	ga_ls8c_ard_3-2-1_104079_2023-08-07_final
2023-08-15 09:56:29	ga_ls8c_ard_3-2-1_096082_2023-08-15_final
2023-08-16 10:35:22	ga_ls8c_ard_3-2-1_103071_2023-08-16_final
2023-08-19 09:31:25	ga_ls8c_ard_3-2-1_092081_2023-08-19_final
2023-08-20 10:11:53	ga_ls8c_ard_3-2-1_099074_2023-08-20_final
2023-08-24 09:49:35	ga_ls8c_ard_3-2-1_095080_2023-08-24_final
2023-08-26 09:36:26	ga_ls8c_ard_3-2-1_093078_2023-08-26_final
2023-08-26 09:37:38	ga_ls8c_ard_3-2-1_093081_2023-08-26_final
2023-08-28 09:24:29	ga_ls8c_ard_3-2-1_091079_2023-08-27_final
2023-09-02 09:43:24	ga_ls8c_ard_3-2-1_094080_2023-09-02_final
2023-09-08 10:44:24	ga_ls8c_ard_3-2-1_104078_2023-09-08_final
2023-09-12 10:20:56	ga_ls8c_ard_3-2-1_100081_2023-09-12_final
2023-09-19 10:22:45	ga_ls8c_ard_3-2-1_101070_2023-09-19_final
2023-09-21 10:11:59	ga_ls8c_ard_3-2-1_099074_2023-09-21_final
2023-09-22 10:57:15	ga_ls8c_ard_3-2-1_106079_2023-09-22_final
2023-09-23 11:39:19	ga_ls8c_ard_3-2-1_113076_2023-09-23_final
2023-09-27 09:36:33	ga_ls8c_ard_3-2-1_093078_2023-09-27_final
2023-10-02 11:32:47	ga_ls8c_ard_3-2-1_112075_2023-10-02_final
2023-10-04 11:24:25	ga_ls8c_ard_3-2-1_110085_2023-10-04_final
2023-10-10 10:43:47	ga_ls8c_ard_3-2-1_104076_2023-10-10_final
2023-10-11 11:28:15	ga_ls8c_ard_3-2-1_111079_2023-10-11_final
2023-10-13 09:36:12	ga_ls8c_ard_3-2-1_093077_2023-10-13_final
2023-10-16 11:47:35	ga_ls8c_ard_3-2-1_114081_2023-10-16_final
2023-10-18 09:53:56	ga_ls8c_ard_3-2-1_096075_2023-10-18_final
2023-10-24 09:20:05	ga_ls8c_ard_3-2-1_090083_2023-10-23_final
2023-10-26 10:44:37	ga_ls8c_ard_3-2-1_104078_2023-10-26_final
2023-10-26 10:45:49	ga_ls8c_ard_3-2-1_104081_2023-10-26_final
2023-10-29 09:37:27	ga_ls8c_ard_3-2-1_093080_2023-10-29_final
2023-11-03 09:53:59	ga_ls8c_ard_3-2-1_096075_2023-11-03_final
2023-11-03 11:32:05	ga_ls8c_ard_3-2-1_112073_2023-11-03_final
2023-11-10 10:00:05	ga_ls8c_ard_3-2-1_097075_2023-11-10_final
2023-11-10 11:40:10	ga_ls8c_ard_3-2-1_113078_2023-11-10_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