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
2022-01-14 10:09:10	ga_ls8c_ard_3-2-1_098082_2022-01-14_final
2023-02-02 10:09:19	ga_ls8c_ard_3-2-1_098082_2023-02-02_final
2023-03-15 11:40:00	ga_ls8c_ard_3-2-1_113078_2023-03-15_final
2023-03-18 10:30:47	ga_ls8c_ard_3-2-1_102075_2023-03-18_final
2023-03-20 10:18:24	ga_ls8c_ard_3-2-1_100075_2023-03-20_final
2023-04-06 11:00:39	ga_ls8c_ard_3-2-1_107073_2023-04-06_final
2023-04-10 10:37:25	ga_ls8c_ard_3-2-1_103077_2023-04-10_final
2023-04-13 11:09:06	ga_ls8c_ard_3-2-1_108079_2023-04-13_final
2023-04-15 10:57:32	ga_ls8c_ard_3-2-1_106081_2023-04-15_final
2023-04-25 11:34:34	ga_ls8c_ard_3-2-1_112081_2023-04-25_final
2023-04-26 10:37:21	ga_ls8c_ard_3-2-1_103077_2023-04-26_final
2023-04-26 10:38:33	ga_ls8c_ard_3-2-1_103080_2023-04-26_final
2023-04-27 11:22:12	ga_ls8c_ard_3-2-1_110081_2023-04-27_final
2023-04-29 09:29:21	ga_ls8c_ard_3-2-1_092077_2023-04-28_final
2023-04-30 10:14:36	ga_ls8c_ard_3-2-1_099082_2023-04-30_final
2023-05-01 10:57:51	ga_ls8c_ard_3-2-1_106082_2023-05-01_final
2023-05-02 10:01:49	ga_ls8c_ard_3-2-1_097081_2023-05-02_final
2023-05-04 11:28:43	ga_ls8c_ard_3-2-1_111082_2023-05-04_final
2023-05-07 10:17:54	ga_ls8c_ard_3-2-1_100075_2023-05-07_final
2023-05-09 10:05:54	ga_ls8c_ard_3-2-1_098076_2023-05-09_final
2023-05-13 11:20:00	ga_ls8c_ard_3-2-1_110076_2023-05-13_final
2023-05-13 11:21:35	ga_ls8c_ard_3-2-1_110080_2023-05-13_final
2023-05-19 10:40:30	ga_ls8c_ard_3-2-1_104070_2023-05-19_final
2023-05-19 10:44:05	ga_ls8c_ard_3-2-1_104079_2023-05-19_final
2023-05-21 10:30:09	ga_ls8c_ard_3-2-1_102075_2023-05-21_final
2023-05-22 11:16:13	ga_ls8c_ard_3-2-1_109082_2023-05-22_final
2023-05-23 10:19:24	ga_ls8c_ard_3-2-1_100079_2023-05-23_final
2023-05-27 09:51:54	ga_ls8c_ard_3-2-1_096072_2023-05-27_final
2023-05-28 10:37:57	ga_ls8c_ard_3-2-1_103079_2023-05-28_final
2023-06-02 10:53:42	ga_ls8c_ard_3-2-1_106072_2023-06-02_final
2023-06-04 10:39:46	ga_ls8c_ard_3-2-1_104068_2023-06-04_final
2023-06-04 10:44:10	ga_ls8c_ard_3-2-1_104079_2023-06-04_final
2023-06-05 11:26:14	ga_ls8c_ard_3-2-1_111076_2023-06-05_final
2023-06-07 11:15:06	ga_ls8c_ard_3-2-1_109079_2023-06-07_final
2023-06-08 10:17:06	ga_ls8c_ard_3-2-1_100073_2023-06-08_final
2023-06-08 10:19:54	ga_ls8c_ard_3-2-1_100080_2023-06-08_final
2023-06-10 10:04:46	ga_ls8c_ard_3-2-1_098073_2023-06-10_final
2023-06-11 10:48:02	ga_ls8c_ard_3-2-1_105073_2023-06-11_final
2023-06-12 09:52:49	ga_ls8c_ard_3-2-1_096074_2023-06-12_final
2023-06-14 09:42:52	ga_ls8c_ard_3-2-1_094080_2023-06-14_final
2023-06-15 10:24:08	ga_ls8c_ard_3-2-1_101075_2023-06-15_final
2023-06-20 10:39:54	ga_ls8c_ard_3-2-1_104068_2023-06-20_final
2023-06-20 10:41:06	ga_ls8c_ard_3-2-1_104071_2023-06-20_final
2023-06-22 10:28:44	ga_ls8c_ard_3-2-1_102071_2023-06-22_final
2023-06-22 10:30:44	ga_ls8c_ard_3-2-1_102076_2023-06-22_final
2023-06-25 11:00:29	ga_ls8c_ard_3-2-1_107073_2023-06-25_final
2023-06-26 10:04:52	ga_ls8c_ard_3-2-1_098073_2023-06-26_final
2023-07-02 09:31:52	ga_ls8c_ard_3-2-1_092083_2023-07-02_final
2023-07-06 10:41:17	ga_ls8c_ard_3-2-1_104071_2023-07-06_final
2023-07-07 09:50:04	ga_ls8c_ard_3-2-1_095082_2023-07-07_final
2023-07-08 10:28:57	ga_ls8c_ard_3-2-1_102071_2023-07-08_final
2023-07-09 09:38:07	ga_ls8c_ard_3-2-1_093083_2023-07-09_final
2023-07-10 10:20:11	ga_ls8c_ard_3-2-1_100080_2023-07-10_final
2023-07-12 10:05:03	ga_ls8c_ard_3-2-1_098073_2023-07-12_final
2023-07-12 10:05:26	ga_ls8c_ard_3-2-1_098074_2023-07-12_final
2023-07-14 11:31:34	ga_ls8c_ard_3-2-1_112073_2023-07-14_final
2023-07-17 10:22:24	ga_ls8c_ard_3-2-1_101070_2023-07-17_final
2023-07-17 10:25:35	ga_ls8c_ard_3-2-1_101078_2023-07-17_final
2023-07-18 11:10:26	ga_ls8c_ard_3-2-1_108082_2023-07-18_final
2023-07-19 10:14:49	ga_ls8c_ard_3-2-1_099082_2023-07-19_final
2023-07-20 10:58:04	ga_ls8c_ard_3-2-1_106082_2023-07-20_final
2023-07-21 11:40:32	ga_ls8c_ard_3-2-1_113080_2023-07-21_final
2023-07-24 10:30:37	ga_ls8c_ard_3-2-1_102075_2023-07-24_final
2023-07-26 10:21:52	ga_ls8c_ard_3-2-1_100084_2023-07-26_final
2023-07-28 10:05:57	ga_ls8c_ard_3-2-1_098075_2023-07-28_final
2023-07-28 10:07:56	ga_ls8c_ard_3-2-1_098080_2023-07-28_final
2023-07-28 10:08:20	ga_ls8c_ard_3-2-1_098081_2023-07-28_final
2023-07-29 10:48:01	ga_ls8c_ard_3-2-1_105072_2023-07-29_final
2023-07-30 09:53:12	ga_ls8c_ard_3-2-1_096074_2023-07-30_final
2023-08-02 10:23:20	ga_ls8c_ard_3-2-1_101072_2023-08-02_final
2023-08-04 10:11:47	ga_ls8c_ard_3-2-1_099074_2023-08-04_final
2023-08-05 10:54:15	ga_ls8c_ard_3-2-1_106072_2023-08-05_final
2023-08-07 10:41:29	ga_ls8c_ard_3-2-1_104071_2023-08-07_final
2023-08-09 10:29:07	ga_ls8c_ard_3-2-1_102071_2023-08-09_final
2023-08-10 11:12:47	ga_ls8c_ard_3-2-1_109072_2023-08-10_final
2023-08-12 09:23:09	ga_ls8c_ard_3-2-1_091076_2023-08-11_final
2023-08-12 11:00:26	ga_ls8c_ard_3-2-1_107072_2023-08-12_final
2023-08-15 09:56:05	ga_ls8c_ard_3-2-1_096081_2023-08-15_final
2023-08-16 10:34:58	ga_ls8c_ard_3-2-1_103070_2023-08-16_final
2023-08-17 11:20:39	ga_ls8c_ard_3-2-1_110076_2023-08-17_final
2023-08-18 10:23:50	ga_ls8c_ard_3-2-1_101073_2023-08-18_final
2023-08-25 10:29:16	ga_ls8c_ard_3-2-1_102071_2023-08-25_final
2023-08-25 10:30:28	ga_ls8c_ard_3-2-1_102074_2023-08-25_final
2023-08-27 10:21:18	ga_ls8c_ard_3-2-1_100082_2023-08-27_final
2023-08-27 10:22:06	ga_ls8c_ard_3-2-1_100084_2023-08-27_final
2023-08-28 11:00:34	ga_ls8c_ard_3-2-1_107072_2023-08-28_final
2023-08-28 11:02:10	ga_ls8c_ard_3-2-1_107076_2023-08-28_final
2023-08-28 11:03:22	ga_ls8c_ard_3-2-1_107079_2023-08-28_final
2023-08-29 11:45:02	ga_ls8c_ard_3-2-1_114075_2023-08-29_final
2023-09-03 10:24:16	ga_ls8c_ard_3-2-1_101074_2023-09-03_final
2023-09-03 10:24:40	ga_ls8c_ard_3-2-1_101075_2023-09-03_final
2023-09-04 09:29:50	ga_ls8c_ard_3-2-1_092077_2023-09-03_final
2023-09-05 10:11:54	ga_ls8c_ard_3-2-1_099074_2023-09-05_final
2023-09-06 10:58:20	ga_ls8c_ard_3-2-1_106082_2023-09-06_final
2023-09-09 11:26:29	ga_ls8c_ard_3-2-1_111075_2023-09-09_final
2023-09-10 10:30:28	ga_ls8c_ard_3-2-1_102074_2023-09-10_final
2023-09-11 11:16:56	ga_ls8c_ard_3-2-1_109082_2023-09-11_final
2023-09-12 10:17:44	ga_ls8c_ard_3-2-1_100073_2023-09-12_final
2023-09-12 10:18:32	ga_ls8c_ard_3-2-1_100075_2023-09-12_final
2023-09-12 11:58:37	ga_ls8c_ard_3-2-1_116078_2023-09-12_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