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
2022-11-18 09:41:56	ga_ls8c_ard_3-2-1_094075_2022-11-18_final
2022-11-19 10:26:48	ga_ls8c_ard_3-2-1_101079_2022-11-19_final
2022-12-02 11:34:02	ga_ls8c_ard_3-2-1_112077_2022-12-02_final
2022-12-10 10:42:34	ga_ls8c_ard_3-2-1_104072_2022-12-10_final
2022-12-16 10:09:01	ga_ls8c_ard_3-2-1_098081_2022-12-16_final
2022-12-18 11:34:42	ga_ls8c_ard_3-2-1_112079_2022-12-18_final
2022-12-19 10:37:04	ga_ls8c_ard_3-2-1_103074_2022-12-19_final
2022-12-31 09:24:53	ga_ls8c_ard_3-2-1_091079_2022-12-30_final
2023-01-03 09:56:12	ga_ls8c_ard_3-2-1_096080_2023-01-03_final
2023-01-03 09:56:59	ga_ls8c_ard_3-2-1_096082_2023-01-03_final
2023-01-05 11:23:55	ga_ls8c_ard_3-2-1_110083_2023-01-05_final
2023-01-11 10:45:59	ga_ls8c_ard_3-2-1_104081_2023-01-11_final
2023-01-20 10:38:33	ga_ls8c_ard_3-2-1_103078_2023-01-20_final
2023-01-26 10:03:31	ga_ls8c_ard_3-2-1_097083_2023-01-26_final
2023-02-01 11:03:21	ga_ls8c_ard_3-2-1_107078_2023-02-01_final
2023-02-04 09:56:33	ga_ls8c_ard_3-2-1_096081_2023-02-04_final
2023-02-04 11:33:27	ga_ls8c_ard_3-2-1_112076_2023-02-04_final
2023-02-04 11:33:50	ga_ls8c_ard_3-2-1_112077_2023-02-04_final
2023-02-06 09:42:59	ga_ls8c_ard_3-2-1_094078_2023-02-06_final
2023-02-20 09:53:57	ga_ls8c_ard_3-2-1_096075_2023-02-20_final
2023-02-20 09:55:33	ga_ls8c_ard_3-2-1_096079_2023-02-20_final
2023-03-12 09:30:14	ga_ls8c_ard_3-2-1_092078_2023-03-12_final
2023-03-18 10:32:47	ga_ls8c_ard_3-2-1_102080_2023-03-18_final
2023-03-24 09:54:49	ga_ls8c_ard_3-2-1_096078_2023-03-24_final
2023-03-31 10:00:09	ga_ls8c_ard_3-2-1_097076_2023-03-31_final
2023-04-09 09:54:35	ga_ls8c_ard_3-2-1_096078_2023-04-09_final
2023-04-09 11:34:16	ga_ls8c_ard_3-2-1_112080_2023-04-09_final
2023-04-10 10:37:01	ga_ls8c_ard_3-2-1_103076_2023-04-10_final
2023-04-16 11:38:23	ga_ls8c_ard_3-2-1_113075_2023-04-16_final
2023-04-17 10:43:33	ga_ls8c_ard_3-2-1_104077_2023-04-17_final
2023-04-18 09:49:07	ga_ls8c_ard_3-2-1_095080_2023-04-18_final
2023-04-20 09:37:32	ga_ls8c_ard_3-2-1_093082_2023-04-20_final
2023-04-20 09:37:56	ga_ls8c_ard_3-2-1_093083_2023-04-20_final
2023-04-20 11:15:37	ga_ls8c_ard_3-2-1_109080_2023-04-20_final
2023-04-26 10:34:57	ga_ls8c_ard_3-2-1_103071_2023-04-26_final
2023-04-29 11:06:14	ga_ls8c_ard_3-2-1_108072_2023-04-29_final
2023-04-30 10:15:48	ga_ls8c_ard_3-2-1_099085_2023-04-30_final
2023-05-01 10:57:27	ga_ls8c_ard_3-2-1_106081_2023-05-01_final
2023-05-09 10:08:18	ga_ls8c_ard_3-2-1_098082_2023-05-09_final
2023-05-12 10:36:20	ga_ls8c_ard_3-2-1_103075_2023-05-12_final
2023-05-12 10:38:20	ga_ls8c_ard_3-2-1_103080_2023-05-12_final
2023-05-18 11:38:54	ga_ls8c_ard_3-2-1_113077_2023-05-18_final
2023-05-24 11:02:40	ga_ls8c_ard_3-2-1_107079_2023-05-24_final
2023-05-25 10:05:27	ga_ls8c_ard_3-2-1_098075_2023-05-25_final
2023-05-25 10:07:50	ga_ls8c_ard_3-2-1_098081_2023-05-25_final
2023-05-26 10:49:54	ga_ls8c_ard_3-2-1_105078_2023-05-26_final
2023-05-29 11:21:37	ga_ls8c_ard_3-2-1_110080_2023-05-29_final
2023-05-31 09:29:34	ga_ls8c_ard_3-2-1_092078_2023-05-30_final
2023-06-03 11:39:46	ga_ls8c_ard_3-2-1_113079_2023-06-03_final
2023-06-07 09:37:25	ga_ls8c_ard_3-2-1_093082_2023-06-07_final
2023-06-10 10:04:46	ga_ls8c_ard_3-2-1_098073_2023-06-10_final
2023-06-12 09:54:25	ga_ls8c_ard_3-2-1_096078_2023-06-12_final
2023-06-14 09:40:52	ga_ls8c_ard_3-2-1_094075_2023-06-14_final
2023-06-16 09:31:43	ga_ls8c_ard_3-2-1_092083_2023-06-16_final
2023-06-19 11:39:31	ga_ls8c_ard_3-2-1_113078_2023-06-19_final
2023-06-20 10:44:17	ga_ls8c_ard_3-2-1_104079_2023-06-20_final
2023-06-21 11:26:45	ga_ls8c_ard_3-2-1_111077_2023-06-21_final
2023-06-22 10:29:08	ga_ls8c_ard_3-2-1_102072_2023-06-22_final
2023-06-25 11:02:28	ga_ls8c_ard_3-2-1_107078_2023-06-25_final
2023-06-26 10:04:52	ga_ls8c_ard_3-2-1_098073_2023-06-26_final
2023-06-28 09:52:57	ga_ls8c_ard_3-2-1_096074_2023-06-28_final
2023-07-06 10:44:53	ga_ls8c_ard_3-2-1_104080_2023-07-06_final
2023-07-11 09:23:46	ga_ls8c_ard_3-2-1_091078_2023-07-10_final
2023-07-12 10:05:50	ga_ls8c_ard_3-2-1_098075_2023-07-12_final
2023-07-18 09:30:22	ga_ls8c_ard_3-2-1_092079_2023-07-18_final
2023-07-29 10:47:37	ga_ls8c_ard_3-2-1_105071_2023-07-29_final
2023-08-01 09:43:39	ga_ls8c_ard_3-2-1_094081_2023-08-01_final
2023-08-01 11:18:09	ga_ls8c_ard_3-2-1_110070_2023-08-01_final
2023-08-06 10:00:13	ga_ls8c_ard_3-2-1_097076_2023-08-06_final
2023-08-07 10:45:05	ga_ls8c_ard_3-2-1_104080_2023-08-07_final
2023-08-16 10:36:58	ga_ls8c_ard_3-2-1_103075_2023-08-16_final
2023-08-23 10:42:01	ga_ls8c_ard_3-2-1_104072_2023-08-23_final
2023-08-23 10:45:36	ga_ls8c_ard_3-2-1_104081_2023-08-23_final
2023-08-28 11:02:58	ga_ls8c_ard_3-2-1_107078_2023-08-28_final
2023-08-30 10:51:00	ga_ls8c_ard_3-2-1_105079_2023-08-30_final
2023-09-02 09:43:24	ga_ls8c_ard_3-2-1_094080_2023-09-02_final
2023-09-07 10:02:19	ga_ls8c_ard_3-2-1_097081_2023-09-07_final
2023-09-14 10:06:35	ga_ls8c_ard_3-2-1_098076_2023-09-14_final
2023-09-18 11:21:58	ga_ls8c_ard_3-2-1_110079_2023-09-18_final
2023-09-19 10:22:45	ga_ls8c_ard_3-2-1_101070_2023-09-19_final
2023-09-19 10:26:45	ga_ls8c_ard_3-2-1_101080_2023-09-19_final
2023-09-20 09:30:20	ga_ls8c_ard_3-2-1_092078_2023-09-20_final
2023-09-25 11:29:22	ga_ls8c_ard_3-2-1_111082_2023-09-25_final
2023-10-02 11:32:47	ga_ls8c_ard_3-2-1_112075_2023-10-02_final
2023-10-08 09:20:02	ga_ls8c_ard_3-2-1_090083_2023-10-07_final
2023-10-08 10:58:07	ga_ls8c_ard_3-2-1_106081_2023-10-08_final
2023-10-09 10:00:30	ga_ls8c_ard_3-2-1_097076_2023-10-09_final
2023-10-10 10:44:11	ga_ls8c_ard_3-2-1_104077_2023-10-10_final
2023-10-10 10:44:35	ga_ls8c_ard_3-2-1_104078_2023-10-10_final
2023-10-11 11:27:27	ga_ls8c_ard_3-2-1_111077_2023-10-11_final
2023-10-11 11:29:50	ga_ls8c_ard_3-2-1_111083_2023-10-11_final
2023-10-15 09:25:50	ga_ls8c_ard_3-2-1_091082_2023-10-14_final
2023-10-16 10:08:42	ga_ls8c_ard_3-2-1_098081_2023-10-16_final
2023-10-23 10:12:30	ga_ls8c_ard_3-2-1_099075_2023-10-23_final
2023-10-25 11:39:26	ga_ls8c_ard_3-2-1_113076_2023-10-25_final
2023-10-28 10:32:40	ga_ls8c_ard_3-2-1_102079_2023-10-28_final
2023-10-29 11:15:56	ga_ls8c_ard_3-2-1_109079_2023-10-29_final
2023-11-03 09:55:11	ga_ls8c_ard_3-2-1_096078_2023-11-03_final
2023-11-12 09:50:09	ga_ls8c_ard_3-2-1_095081_2023-11-12_final
2023-11-19 11:34:29	ga_ls8c_ard_3-2-1_112079_2023-11-19_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