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
2018-02-13 11:40:40	ga_ls8c_ard_3-0-0_113080_2018-02-13_final
2018-02-13 11:41:03	ga_ls8c_ard_3-0-0_113081_2018-02-13_final
2018-02-13 11:41:27	ga_ls8c_ard_3-0-0_113082_2018-02-13_final
2018-02-13 11:41:51	ga_ls8c_ard_3-0-0_113083_2018-02-13_final
2018-02-13 11:42:15	ga_ls8c_ard_3-0-0_113084_2018-02-13_final
2018-03-10 11:35:52	ga_ls8c_ard_3-0-0_112084_2018-03-10_final
2018-03-10 11:36:16	ga_ls8c_ard_3-0-0_112085_2018-03-10_final
2018-03-15 11:49:58	ga_ls8c_ard_3-0-0_115073_2018-03-15_final
2018-03-15 11:50:22	ga_ls8c_ard_3-0-0_115074_2018-03-15_final
2018-03-15 11:50:46	ga_ls8c_ard_3-0-0_115075_2018-03-15_final
2018-03-15 11:51:10	ga_ls8c_ard_3-0-0_115076_2018-03-15_final
2018-03-17 11:40:23	ga_ls8c_ard_3-0-0_113080_2018-03-17_final
2018-03-17 11:40:47	ga_ls8c_ard_3-0-0_113081_2018-03-17_final
2018-03-17 11:41:11	ga_ls8c_ard_3-0-0_113082_2018-03-17_final
2018-03-17 11:41:35	ga_ls8c_ard_3-0-0_113083_2018-03-17_final
2018-03-17 11:41:59	ga_ls8c_ard_3-0-0_113084_2018-03-17_final
2018-04-25 11:44:15	ga_ls8c_ard_3-0-0_114075_2018-04-25_final
2018-04-25 11:44:39	ga_ls8c_ard_3-0-0_114076_2018-04-25_final
2018-04-25 11:45:03	ga_ls8c_ard_3-0-0_114077_2018-04-25_final
2018-04-25 11:45:27	ga_ls8c_ard_3-0-0_114078_2018-04-25_final
2018-04-25 11:45:51	ga_ls8c_ard_3-0-0_114079_2018-04-25_final
2018-04-25 11:46:14	ga_ls8c_ard_3-0-0_114080_2018-04-25_final
2018-04-25 11:46:38	ga_ls8c_ard_3-0-0_114081_2018-04-25_final
2018-04-27 11:35:04	ga_ls8c_ard_3-0-0_112083_2018-04-27_final
2018-04-27 11:35:28	ga_ls8c_ard_3-0-0_112084_2018-04-27_final
2018-04-27 11:35:52	ga_ls8c_ard_3-0-0_112085_2018-04-27_final
2018-06-19 11:49:21	ga_ls8c_ard_3-0-0_115073_2018-06-19_final
2018-06-19 11:49:44	ga_ls8c_ard_3-0-0_115074_2018-06-19_final
2018-06-21 11:39:48	ga_ls8c_ard_3-0-0_113080_2018-06-21_final
2018-06-21 11:40:12	ga_ls8c_ard_3-0-0_113081_2018-06-21_final
2018-06-21 11:40:36	ga_ls8c_ard_3-0-0_113082_2018-06-21_final
2018-06-21 11:41:00	ga_ls8c_ard_3-0-0_113083_2018-06-21_final
2018-06-21 11:41:24	ga_ls8c_ard_3-0-0_113084_2018-06-21_final
2018-07-05 11:49:30	ga_ls8c_ard_3-0-0_115073_2018-07-05_final
2018-07-05 11:49:54	ga_ls8c_ard_3-0-0_115074_2018-07-05_final
2018-07-05 11:50:18	ga_ls8c_ard_3-0-0_115075_2018-07-05_final
2018-07-05 11:50:42	ga_ls8c_ard_3-0-0_115076_2018-07-05_final
2018-07-07 11:39:57	ga_ls8c_ard_3-0-0_113080_2018-07-07_final
2018-07-07 11:40:21	ga_ls8c_ard_3-0-0_113081_2018-07-07_final
2018-07-07 11:40:45	ga_ls8c_ard_3-0-0_113082_2018-07-07_final
2018-07-07 11:41:09	ga_ls8c_ard_3-0-0_113083_2018-07-07_final
2018-07-07 11:41:33	ga_ls8c_ard_3-0-0_113084_2018-07-07_final
2018-07-21 11:49:37	ga_ls8c_ard_3-0-0_115073_2018-07-21_final
2018-07-21 11:50:01	ga_ls8c_ard_3-0-0_115074_2018-07-21_final
2018-07-21 11:50:25	ga_ls8c_ard_3-0-0_115075_2018-07-21_final
2018-07-21 11:50:49	ga_ls8c_ard_3-0-0_115076_2018-07-21_final
2020-01-09 11:45:13	ga_ls8c_ard_3-1-0_114075_2020-01-09_final
2020-01-09 11:45:37	ga_ls8c_ard_3-1-0_114076_2020-01-09_final
2020-01-09 11:46:01	ga_ls8c_ard_3-1-0_114077_2020-01-09_final
2020-01-09 11:46:25	ga_ls8c_ard_3-1-0_114078_2020-01-09_final
2020-01-09 11:46:49	ga_ls8c_ard_3-1-0_114079_2020-01-09_final
2020-01-09 11:47:13	ga_ls8c_ard_3-1-0_114080_2020-01-09_final
2020-01-09 11:47:37	ga_ls8c_ard_3-1-0_114081_2020-01-09_final
2020-01-11 11:36:03	ga_ls8c_ard_3-1-0_112083_2020-01-11_final
2020-01-11 11:36:27	ga_ls8c_ard_3-1-0_112084_2020-01-11_final
2020-01-11 11:36:51	ga_ls8c_ard_3-1-0_112085_2020-01-11_final
2020-02-10 11:45:04	ga_ls8c_ard_3-1-0_114075_2020-02-10_final
2020-02-10 11:45:28	ga_ls8c_ard_3-1-0_114076_2020-02-10_final
2020-02-10 11:45:52	ga_ls8c_ard_3-1-0_114077_2020-02-10_final
2020-02-10 11:46:16	ga_ls8c_ard_3-1-0_114078_2020-02-10_final
2020-02-10 11:46:40	ga_ls8c_ard_3-1-0_114079_2020-02-10_final
2020-02-10 11:47:04	ga_ls8c_ard_3-1-0_114080_2020-02-10_final
2020-02-10 11:47:28	ga_ls8c_ard_3-1-0_114081_2020-02-10_final
2020-02-12 11:35:54	ga_ls8c_ard_3-1-0_112083_2020-02-12_final
2020-02-12 11:36:18	ga_ls8c_ard_3-1-0_112084_2020-02-12_final
2020-02-12 11:36:42	ga_ls8c_ard_3-1-0_112085_2020-02-12_final
2020-02-28 11:35:50	ga_ls8c_ard_3-1-0_112083_2020-02-28_final
2020-02-28 11:36:14	ga_ls8c_ard_3-1-0_112084_2020-02-28_final
2020-02-28 11:36:38	ga_ls8c_ard_3-1-0_112085_2020-02-28_final
2020-04-30 11:44:30	ga_ls8c_ard_3-1-0_114075_2020-04-30_final
2020-04-30 11:44:54	ga_ls8c_ard_3-1-0_114076_2020-04-30_final
2020-04-30 11:45:18	ga_ls8c_ard_3-1-0_114077_2020-04-30_final
2020-04-30 11:45:42	ga_ls8c_ard_3-1-0_114078_2020-04-30_final
2020-04-30 11:46:06	ga_ls8c_ard_3-1-0_114079_2020-04-30_final
2020-04-30 11:46:30	ga_ls8c_ard_3-1-0_114080_2020-04-30_final
2020-04-30 11:46:54	ga_ls8c_ard_3-1-0_114081_2020-04-30_final
2020-05-02 11:35:19	ga_ls8c_ard_3-1-0_112083_2020-05-02_final
2020-05-02 11:35:43	ga_ls8c_ard_3-1-0_112084_2020-05-02_final
2020-05-02 11:36:07	ga_ls8c_ard_3-1-0_112085_2020-05-02_final
2023-08-31 11:35:51	ga_ls8c_ard_3-2-1_112083_2023-08-31_final
2023-08-31 11:36:15	ga_ls8c_ard_3-2-1_112084_2023-08-31_final
2023-09-14 11:45:04	ga_ls8c_ard_3-2-1_114075_2023-09-14_final
2023-09-14 11:45:28	ga_ls8c_ard_3-2-1_114076_2023-09-14_final
2023-09-14 11:45:52	ga_ls8c_ard_3-2-1_114077_2023-09-14_final
2023-09-14 11:46:16	ga_ls8c_ard_3-2-1_114078_2023-09-14_final
2023-09-14 11:46:40	ga_ls8c_ard_3-2-1_114079_2023-09-14_final
2023-09-14 11:47:04	ga_ls8c_ard_3-2-1_114080_2023-09-14_final
2023-09-14 11:47:28	ga_ls8c_ard_3-2-1_114081_2023-09-14_final
2023-09-16 11:35:55	ga_ls8c_ard_3-2-1_112083_2023-09-16_final
2023-09-16 11:36:19	ga_ls8c_ard_3-2-1_112084_2023-09-16_final
2023-09-21 11:50:53	ga_ls8c_ard_3-2-1_115074_2023-09-21_final
2023-09-21 11:51:16	ga_ls8c_ard_3-2-1_115075_2023-09-21_final
2023-09-21 11:51:40	ga_ls8c_ard_3-2-1_115076_2023-09-21_final
2023-09-23 11:40:55	ga_ls8c_ard_3-2-1_113080_2023-09-23_final
2023-09-23 11:41:19	ga_ls8c_ard_3-2-1_113081_2023-09-23_final
2023-09-23 11:41:42	ga_ls8c_ard_3-2-1_113082_2023-09-23_final
2023-09-23 11:42:06	ga_ls8c_ard_3-2-1_113083_2023-09-23_final
2023-09-23 11:42:30	ga_ls8c_ard_3-2-1_113084_2023-09-23_final
2023-10-23 11:50:59	ga_ls8c_ard_3-2-1_115074_2023-10-23_final
2023-10-23 11:51:23	ga_ls8c_ard_3-2-1_115075_2023-10-23_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