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
2022-01-07 11:42:41	ga_ls8c_ard_3-2-1_113084_2022-01-07_final
2022-01-23 11:42:37	ga_ls8c_ard_3-2-1_113084_2022-01-23_final
2022-02-08 11:42:33	ga_ls8c_ard_3-2-1_113084_2022-02-08_final
2022-02-24 11:42:28	ga_ls8c_ard_3-2-1_113084_2022-02-24_final
2022-03-12 11:42:24	ga_ls8c_ard_3-2-1_113084_2022-03-12_final
2022-03-28 11:42:12	ga_ls8c_ard_3-2-1_113084_2022-03-28_final
2022-04-13 11:42:16	ga_ls8c_ard_3-2-1_113084_2022-04-13_final
2022-04-29 11:42:11	ga_ls8c_ard_3-2-1_113084_2022-04-29_final
2022-05-15 11:42:22	ga_ls8c_ard_3-2-1_113084_2022-05-15_final
2022-05-31 11:42:25	ga_ls8c_ard_3-2-1_113084_2022-05-31_final
2022-06-16 11:42:37	ga_ls8c_ard_3-2-1_113084_2022-06-16_final
2022-07-02 11:42:41	ga_ls8c_ard_3-2-1_113084_2022-07-02_final
2022-07-18 11:42:41	ga_ls8c_ard_3-2-1_113084_2022-07-18_final
2022-08-03 11:42:53	ga_ls8c_ard_3-2-1_113084_2022-08-03_final
2022-08-19 11:42:58	ga_ls8c_ard_3-2-1_113084_2022-08-19_final
2022-09-04 11:42:58	ga_ls8c_ard_3-2-1_113084_2022-09-04_final
2022-09-20 11:43:05	ga_ls8c_ard_3-2-1_113084_2022-09-20_final
2022-10-06 11:43:02	ga_ls8c_ard_3-2-1_113084_2022-10-06_final
2022-10-22 11:43:02	ga_ls8c_ard_3-2-1_113084_2022-10-22_final
2022-11-07 11:43:04	ga_ls8c_ard_3-2-1_113084_2022-11-07_final
2022-11-23 11:42:59	ga_ls8c_ard_3-2-1_113084_2022-11-23_final
2022-12-09 11:42:59	ga_ls8c_ard_3-2-1_113084_2022-12-09_final
2022-12-25 11:42:50	ga_ls8c_ard_3-2-1_113084_2022-12-25_final
2023-01-10 11:42:49	ga_ls8c_ard_3-2-1_113084_2023-01-10_final
2023-01-26 11:42:48	ga_ls8c_ard_3-2-1_113084_2023-01-26_final
2023-02-11 11:42:45	ga_ls8c_ard_3-2-1_113084_2023-02-11_final
2023-02-27 11:42:30	ga_ls8c_ard_3-2-1_113084_2023-02-27_final
2023-03-15 11:42:24	ga_ls8c_ard_3-2-1_113084_2023-03-15_final
2023-03-31 11:42:13	ga_ls8c_ard_3-2-1_113084_2023-03-31_final
2023-04-16 11:41:59	ga_ls8c_ard_3-2-1_113084_2023-04-16_final
2023-05-02 11:41:54	ga_ls8c_ard_3-2-1_113084_2023-05-02_final
2023-05-18 11:41:42	ga_ls8c_ard_3-2-1_113084_2023-05-18_final
2023-06-03 11:41:46	ga_ls8c_ard_3-2-1_113084_2023-06-03_final
2023-06-19 11:41:54	ga_ls8c_ard_3-2-1_113084_2023-06-19_final
2023-07-05 11:42:05	ga_ls8c_ard_3-2-1_113084_2023-07-05_final
2023-07-21 11:42:08	ga_ls8c_ard_3-2-1_113084_2023-07-21_final
2023-08-06 11:42:18	ga_ls8c_ard_3-2-1_113084_2023-08-06_final
2023-08-22 11:42:25	ga_ls8c_ard_3-2-1_113084_2023-08-22_final
2023-09-07 11:42:24	ga_ls8c_ard_3-2-1_113084_2023-09-07_final
2023-09-23 11:42:30	ga_ls8c_ard_3-2-1_113084_2023-09-23_final
2023-10-09 11:42:35	ga_ls8c_ard_3-2-1_113084_2023-10-09_final
2023-10-25 11:42:38	ga_ls8c_ard_3-2-1_113084_2023-10-25_final
2023-11-10 11:42:33	ga_ls8c_ard_3-2-1_113084_2023-11-10_final
2023-11-26 11:42:41	ga_ls8c_ard_3-2-1_113084_2023-11-26_final
2023-12-12 11:42:36	ga_ls8c_ard_3-2-1_113084_2023-12-12_final
2023-12-28 11:42:37	ga_ls8c_ard_3-2-1_113084_2023-12-28_final
2024-01-13 11:42:34	ga_ls8c_ard_3-2-1_113084_2024-01-13_final
2024-01-29 11:42:28	ga_ls8c_ard_3-2-1_113084_2024-01-29_final
2024-02-14 11:42:31	ga_ls8c_ard_3-2-1_113084_2024-02-14_final
2024-02-28 11:51:12	ga_ls8c_ard_3-2-1_115075_2024-02-28_final
2024-02-28 11:51:36	ga_ls8c_ard_3-2-1_115076_2024-02-28_final
2024-03-01 11:38:01	ga_ls8c_ard_3-2-1_113073_2024-03-01_final
2024-03-01 11:38:25	ga_ls8c_ard_3-2-1_113074_2024-03-01_final
2024-03-01 11:38:49	ga_ls8c_ard_3-2-1_113075_2024-03-01_final
2024-03-01 11:39:13	ga_ls8c_ard_3-2-1_113076_2024-03-01_final
2024-03-01 11:40:25	ga_ls8c_ard_3-2-1_113079_2024-03-01_final
2024-03-01 11:41:13	ga_ls8c_ard_3-2-1_113081_2024-03-01_final
2024-03-01 11:42:24	ga_ls8c_ard_3-2-1_113084_2024-03-01_final
2024-03-08 11:46:53	ga_ls8c_ard_3-2-1_114080_2024-03-08_final
2024-03-10 11:31:43	ga_ls8c_ard_3-2-1_112073_2024-03-10_final
2024-03-10 11:32:07	ga_ls8c_ard_3-2-1_112074_2024-03-10_final
2024-03-10 11:32:31	ga_ls8c_ard_3-2-1_112075_2024-03-10_final
2024-03-10 11:32:55	ga_ls8c_ard_3-2-1_112076_2024-03-10_final
2024-03-10 11:33:19	ga_ls8c_ard_3-2-1_112077_2024-03-10_final
2024-03-10 11:33:43	ga_ls8c_ard_3-2-1_112078_2024-03-10_final
2024-03-10 11:34:07	ga_ls8c_ard_3-2-1_112079_2024-03-10_final
2024-03-10 11:34:31	ga_ls8c_ard_3-2-1_112080_2024-03-10_final
2024-03-12 11:22:57	ga_ls8c_ard_3-2-1_110082_2024-03-12_final
2024-03-12 11:23:21	ga_ls8c_ard_3-2-1_110083_2024-03-12_final
2024-03-12 11:23:45	ga_ls8c_ard_3-2-1_110084_2024-03-12_final
2024-03-17 11:38:39	ga_ls8c_ard_3-2-1_113075_2024-03-17_final
2024-03-17 11:39:03	ga_ls8c_ard_3-2-1_113076_2024-03-17_final
2024-03-17 11:39:27	ga_ls8c_ard_3-2-1_113077_2024-03-17_final
2024-03-17 11:39:51	ga_ls8c_ard_3-2-1_113078_2024-03-17_final
2024-03-17 11:40:15	ga_ls8c_ard_3-2-1_113079_2024-03-17_final
2024-03-17 11:40:39	ga_ls8c_ard_3-2-1_113080_2024-03-17_final
2024-03-17 11:41:03	ga_ls8c_ard_3-2-1_113081_2024-03-17_final
2024-03-17 11:41:27	ga_ls8c_ard_3-2-1_113082_2024-03-17_final
2024-03-19 11:27:52	ga_ls8c_ard_3-2-1_111079_2024-03-19_final
2024-03-19 11:28:16	ga_ls8c_ard_3-2-1_111080_2024-03-19_final
2024-03-19 11:28:40	ga_ls8c_ard_3-2-1_111081_2024-03-19_final
2024-03-19 11:29:03	ga_ls8c_ard_3-2-1_111082_2024-03-19_final
2024-03-26 11:32:42	ga_ls8c_ard_3-2-1_112076_2024-03-26_final
2024-03-28 11:22:41	ga_ls8c_ard_3-2-1_110082_2024-03-28_final
2024-03-28 11:23:05	ga_ls8c_ard_3-2-1_110083_2024-03-28_final
2024-03-28 11:23:29	ga_ls8c_ard_3-2-1_110084_2024-03-28_final
2024-03-28 11:23:53	ga_ls8c_ard_3-2-1_110085_2024-03-28_final
2024-03-31 11:50:49	ga_ls8c_ard_3-2-1_115075_2024-03-31_final
2024-04-02 11:37:16	ga_ls8c_ard_3-2-1_113072_2024-04-02_final
2024-04-02 11:37:40	ga_ls8c_ard_3-2-1_113073_2024-04-02_final
2024-04-02 11:38:51	ga_ls8c_ard_3-2-1_113076_2024-04-02_final
2024-04-02 11:39:15	ga_ls8c_ard_3-2-1_113077_2024-04-02_final
2024-04-02 11:40:03	ga_ls8c_ard_3-2-1_113079_2024-04-02_final
2024-04-02 11:40:27	ga_ls8c_ard_3-2-1_113080_2024-04-02_final
2024-04-02 11:40:51	ga_ls8c_ard_3-2-1_113081_2024-04-02_final
2024-04-04 11:27:18	ga_ls8c_ard_3-2-1_111078_2024-04-04_final
2024-04-04 11:27:41	ga_ls8c_ard_3-2-1_111079_2024-04-04_final
2024-04-04 11:28:05	ga_ls8c_ard_3-2-1_111080_2024-04-04_final
2024-04-04 11:28:53	ga_ls8c_ard_3-2-1_111082_2024-04-04_final
2024-04-04 11:29:17	ga_ls8c_ard_3-2-1_111083_2024-04-04_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