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
2014-07-01 10:16:40	ga_ls8c_ard_3-0-0_100071_2014-07-01_final
2014-07-01 10:17:04	ga_ls8c_ard_3-0-0_100072_2014-07-01_final
2014-07-01 10:17:28	ga_ls8c_ard_3-0-0_100073_2014-07-01_final
2014-07-01 10:17:52	ga_ls8c_ard_3-0-0_100074_2014-07-01_final
2014-07-01 10:18:16	ga_ls8c_ard_3-0-0_100075_2014-07-01_final
2014-07-03 10:07:32	ga_ls8c_ard_3-0-0_098079_2014-07-03_final
2014-07-03 10:07:56	ga_ls8c_ard_3-0-0_098080_2014-07-03_final
2014-07-03 10:08:19	ga_ls8c_ard_3-0-0_098081_2014-07-03_final
2014-07-03 10:08:43	ga_ls8c_ard_3-0-0_098082_2014-07-03_final
2014-07-03 10:09:07	ga_ls8c_ard_3-0-0_098083_2014-07-03_final
2014-07-03 10:09:31	ga_ls8c_ard_3-0-0_098084_2014-07-03_final
2014-07-05 09:57:59	ga_ls8c_ard_3-0-0_096086_2014-07-05_final
2014-07-17 10:16:47	ga_ls8c_ard_3-0-0_100071_2014-07-17_final
2014-07-17 10:17:11	ga_ls8c_ard_3-0-0_100072_2014-07-17_final
2014-07-17 10:17:35	ga_ls8c_ard_3-0-0_100073_2014-07-17_final
2014-07-17 10:17:58	ga_ls8c_ard_3-0-0_100074_2014-07-17_final
2014-07-17 10:18:22	ga_ls8c_ard_3-0-0_100075_2014-07-17_final
2014-07-19 10:07:37	ga_ls8c_ard_3-0-0_098079_2014-07-19_final
2014-07-19 10:08:01	ga_ls8c_ard_3-0-0_098080_2014-07-19_final
2014-07-19 10:08:25	ga_ls8c_ard_3-0-0_098081_2014-07-19_final
2014-07-19 10:08:49	ga_ls8c_ard_3-0-0_098082_2014-07-19_final
2014-07-19 10:09:12	ga_ls8c_ard_3-0-0_098083_2014-07-19_final
2014-07-19 10:09:36	ga_ls8c_ard_3-0-0_098084_2014-07-19_final
2014-07-21 09:58:03	ga_ls8c_ard_3-0-0_096086_2014-07-21_final
2014-09-12 10:12:28	ga_ls8c_ard_3-0-0_099075_2014-09-12_final
2014-09-12 10:12:52	ga_ls8c_ard_3-0-0_099076_2014-09-12_final
2014-09-12 10:13:16	ga_ls8c_ard_3-0-0_099077_2014-09-12_final
2014-09-12 10:13:40	ga_ls8c_ard_3-0-0_099078_2014-09-12_final
2014-09-12 10:14:04	ga_ls8c_ard_3-0-0_099079_2014-09-12_final
2014-09-12 10:14:28	ga_ls8c_ard_3-0-0_099080_2014-09-12_final
2014-09-28 10:12:26	ga_ls8c_ard_3-0-0_099075_2014-09-28_final
2014-09-28 10:12:50	ga_ls8c_ard_3-0-0_099076_2014-09-28_final
2014-09-28 10:13:14	ga_ls8c_ard_3-0-0_099077_2014-09-28_final
2014-09-28 10:13:38	ga_ls8c_ard_3-0-0_099078_2014-09-28_final
2014-09-28 10:14:02	ga_ls8c_ard_3-0-0_099079_2014-09-28_final
2014-09-28 10:14:26	ga_ls8c_ard_3-0-0_099080_2014-09-28_final
2014-10-07 10:07:56	ga_ls8c_ard_3-0-0_098079_2014-10-07_final
2014-10-07 10:08:20	ga_ls8c_ard_3-0-0_098080_2014-10-07_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 10:09:32	ga_ls8c_ard_3-0-0_098083_2014-10-07_final
2014-10-07 10:09:56	ga_ls8c_ard_3-0-0_098084_2014-10-07_final
2014-10-09 09:58:22	ga_ls8c_ard_3-0-0_096086_2014-10-09_final
2014-10-12 10:22:54	ga_ls8c_ard_3-0-0_101070_2014-10-12_final
2014-10-12 10:23:18	ga_ls8c_ard_3-0-0_101071_2014-10-12_final
2014-12-08 10:17:50	ga_ls8c_ard_3-0-0_100073_2014-12-08_final
2014-12-08 10:18:14	ga_ls8c_ard_3-0-0_100074_2014-12-08_final
2014-12-08 10:18:38	ga_ls8c_ard_3-0-0_100075_2014-12-08_final
2014-12-08 10:19:02	ga_ls8c_ard_3-0-0_100076_2014-12-08_final
2014-12-10 10:07:50	ga_ls8c_ard_3-0-0_098079_2014-12-10_final
2014-12-10 10:08:14	ga_ls8c_ard_3-0-0_098080_2014-12-10_final
2014-12-10 10:08:38	ga_ls8c_ard_3-0-0_098081_2014-12-10_final
2014-12-10 10:09:02	ga_ls8c_ard_3-0-0_098082_2014-12-10_final
2014-12-10 10:09:26	ga_ls8c_ard_3-0-0_098083_2014-12-10_final
2014-12-10 10:09:50	ga_ls8c_ard_3-0-0_098084_2014-12-10_final
2014-12-12 09:58:14	ga_ls8c_ard_3-0-0_096086_2014-12-12_final
2023-02-02 10:08:07	ga_ls8c_ard_3-2-1_098079_2023-02-02_final
2023-02-02 10:08:31	ga_ls8c_ard_3-2-1_098080_2023-02-02_final
2023-02-02 10:08:55	ga_ls8c_ard_3-2-1_098081_2023-02-02_final
2023-02-02 10:09:19	ga_ls8c_ard_3-2-1_098082_2023-02-02_final
2023-02-02 10:09:43	ga_ls8c_ard_3-2-1_098083_2023-02-02_final
2023-02-02 10:10:07	ga_ls8c_ard_3-2-1_098084_2023-02-02_final
2023-02-04 09:58:33	ga_ls8c_ard_3-2-1_096086_2023-02-04_final
2023-03-20 10:16:48	ga_ls8c_ard_3-2-1_100071_2023-03-20_final
2023-03-20 10:17:12	ga_ls8c_ard_3-2-1_100072_2023-03-20_final
2023-03-20 10:17:36	ga_ls8c_ard_3-2-1_100073_2023-03-20_final
2023-03-20 10:18:00	ga_ls8c_ard_3-2-1_100074_2023-03-20_final
2023-03-20 10:18:24	ga_ls8c_ard_3-2-1_100075_2023-03-20_final
2023-03-22 10:08:24	ga_ls8c_ard_3-2-1_098081_2023-03-22_final
2023-03-22 10:08:48	ga_ls8c_ard_3-2-1_098082_2023-03-22_final
2023-03-22 10:09:12	ga_ls8c_ard_3-2-1_098083_2023-03-22_final
2023-03-22 10:09:36	ga_ls8c_ard_3-2-1_098084_2023-03-22_final
2023-03-24 09:58:00	ga_ls8c_ard_3-2-1_096086_2023-03-24_final
2023-04-28 10:21:47	ga_ls8c_ard_3-2-1_101069_2023-04-28_final
2023-04-28 10:22:11	ga_ls8c_ard_3-2-1_101070_2023-04-28_final
2023-04-28 10:22:35	ga_ls8c_ard_3-2-1_101071_2023-04-28_final
2023-05-14 10:21:34	ga_ls8c_ard_3-2-1_101069_2023-05-14_final
2023-05-14 10:21:58	ga_ls8c_ard_3-2-1_101070_2023-05-14_final
2023-05-14 10:22:22	ga_ls8c_ard_3-2-1_101071_2023-05-14_final
2023-05-16 10:11:11	ga_ls8c_ard_3-2-1_099074_2023-05-16_final
2023-05-16 10:11:35	ga_ls8c_ard_3-2-1_099075_2023-05-16_final
2023-05-16 10:11:59	ga_ls8c_ard_3-2-1_099076_2023-05-16_final
2023-05-16 10:12:23	ga_ls8c_ard_3-2-1_099077_2023-05-16_final
2023-05-16 10:12:47	ga_ls8c_ard_3-2-1_099078_2023-05-16_final
2023-05-16 10:13:11	ga_ls8c_ard_3-2-1_099079_2023-05-16_final
2023-05-16 10:13:35	ga_ls8c_ard_3-2-1_099080_2023-05-16_final
2023-05-23 10:16:12	ga_ls8c_ard_3-2-1_100071_2023-05-23_final
2023-05-23 10:16:36	ga_ls8c_ard_3-2-1_100072_2023-05-23_final
2023-05-23 10:17:00	ga_ls8c_ard_3-2-1_100073_2023-05-23_final
2023-05-23 10:17:24	ga_ls8c_ard_3-2-1_100074_2023-05-23_final
2023-05-23 10:17:48	ga_ls8c_ard_3-2-1_100075_2023-05-23_final
2023-05-25 10:07:03	ga_ls8c_ard_3-2-1_098079_2023-05-25_final
2023-05-25 10:07:27	ga_ls8c_ard_3-2-1_098080_2023-05-25_final
2023-05-25 10:07:50	ga_ls8c_ard_3-2-1_098081_2023-05-25_final
2023-05-25 10:08:14	ga_ls8c_ard_3-2-1_098082_2023-05-25_final
2023-05-25 10:08:38	ga_ls8c_ard_3-2-1_098083_2023-05-25_final
2023-05-25 10:09:02	ga_ls8c_ard_3-2-1_098084_2023-05-25_final
2023-05-27 09:57:29	ga_ls8c_ard_3-2-1_096086_2023-05-27_final
2023-05-30 10:21:36	ga_ls8c_ard_3-2-1_101069_2023-05-30_final
2023-05-30 10:22:00	ga_ls8c_ard_3-2-1_101070_2023-05-30_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years