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
2013-05-22 11:40:05	ga_ls8c_ard_3-0-0_113073_2013-05-22_final
2013-05-22 11:40:29	ga_ls8c_ard_3-0-0_113074_2013-05-22_final
2013-05-22 11:40:53	ga_ls8c_ard_3-0-0_113075_2013-05-22_final
2013-05-22 11:41:17	ga_ls8c_ard_3-0-0_113076_2013-05-22_final
2013-05-22 11:41:41	ga_ls8c_ard_3-0-0_113077_2013-05-22_final
2013-05-22 11:42:05	ga_ls8c_ard_3-0-0_113078_2013-05-22_final
2013-08-10 11:40:03	ga_ls8c_ard_3-0-0_113073_2013-08-10_final
2013-08-10 11:40:27	ga_ls8c_ard_3-0-0_113074_2013-08-10_final
2013-08-10 11:40:51	ga_ls8c_ard_3-0-0_113075_2013-08-10_final
2013-08-10 11:41:15	ga_ls8c_ard_3-0-0_113076_2013-08-10_final
2013-08-10 11:41:39	ga_ls8c_ard_3-0-0_113077_2013-08-10_final
2013-08-10 11:42:03	ga_ls8c_ard_3-0-0_113078_2013-08-10_final
2013-08-12 11:30:53	ga_ls8c_ard_3-0-0_111081_2013-08-12_final
2013-08-12 11:31:17	ga_ls8c_ard_3-0-0_111082_2013-08-12_final
2013-08-12 11:31:41	ga_ls8c_ard_3-0-0_111083_2013-08-12_final
2013-08-12 11:32:05	ga_ls8c_ard_3-0-0_111084_2013-08-12_final
2017-11-04 11:24:35	ga_ls8c_ard_3-0-0_110085_2017-11-04_final
2017-12-20 11:33:40	ga_ls8c_ard_3-0-0_112077_2017-12-20_final
2017-12-20 11:34:03	ga_ls8c_ard_3-0-0_112078_2017-12-20_final
2017-12-20 11:34:27	ga_ls8c_ard_3-0-0_112079_2017-12-20_final
2017-12-20 11:34:51	ga_ls8c_ard_3-0-0_112080_2017-12-20_final
2017-12-20 11:35:15	ga_ls8c_ard_3-0-0_112081_2017-12-20_final
2017-12-20 11:35:39	ga_ls8c_ard_3-0-0_112082_2017-12-20_final
2017-12-22 11:24:30	ga_ls8c_ard_3-0-0_110085_2017-12-22_final
2019-11-01 11:29:16	ga_ls8c_ard_3-1-0_111081_2019-11-01_final
2019-11-01 11:29:40	ga_ls8c_ard_3-1-0_111082_2019-11-01_final
2019-11-01 11:30:04	ga_ls8c_ard_3-1-0_111083_2019-11-01_final
2019-11-01 11:30:28	ga_ls8c_ard_3-1-0_111084_2019-11-01_final
2019-11-01 11:30:52	ga_ls8c_ard_3-1-0_111085_2019-11-01_final
2019-11-06 11:44:36	ga_ls8c_ard_3-1-0_114073_2019-11-06_final
2019-11-17 11:29:13	ga_ls8c_ard_3-1-0_111081_2019-11-17_final
2019-11-17 11:29:37	ga_ls8c_ard_3-1-0_111082_2019-11-17_final
2019-11-17 11:30:01	ga_ls8c_ard_3-1-0_111083_2019-11-17_final
2019-11-17 11:30:25	ga_ls8c_ard_3-1-0_111084_2019-11-17_final
2019-11-17 11:30:49	ga_ls8c_ard_3-1-0_111085_2019-11-17_final
2019-12-01 11:38:22	ga_ls8c_ard_3-1-0_113073_2019-12-01_final
2019-12-01 11:38:46	ga_ls8c_ard_3-1-0_113074_2019-12-01_final
2019-12-01 11:39:10	ga_ls8c_ard_3-1-0_113075_2019-12-01_final
2019-12-01 11:39:34	ga_ls8c_ard_3-1-0_113076_2019-12-01_final
2019-12-01 11:39:58	ga_ls8c_ard_3-1-0_113077_2019-12-01_final
2019-12-01 11:40:22	ga_ls8c_ard_3-1-0_113078_2019-12-01_final
2019-12-26 11:33:43	ga_ls8c_ard_3-1-0_112077_2019-12-26_final
2019-12-26 11:34:07	ga_ls8c_ard_3-1-0_112078_2019-12-26_final
2019-12-26 11:34:31	ga_ls8c_ard_3-1-0_112079_2019-12-26_final
2019-12-26 11:34:55	ga_ls8c_ard_3-1-0_112080_2019-12-26_final
2019-12-26 11:35:19	ga_ls8c_ard_3-1-0_112081_2019-12-26_final
2019-12-26 11:35:43	ga_ls8c_ard_3-1-0_112082_2019-12-26_final
2020-01-04 11:29:05	ga_ls8c_ard_3-1-0_111081_2020-01-04_final
2020-01-04 11:29:29	ga_ls8c_ard_3-1-0_111082_2020-01-04_final
2020-01-04 11:29:53	ga_ls8c_ard_3-1-0_111083_2020-01-04_final
2020-01-04 11:30:17	ga_ls8c_ard_3-1-0_111084_2020-01-04_final
2020-01-04 11:30:41	ga_ls8c_ard_3-1-0_111085_2020-01-04_final
2020-01-09 11:44:25	ga_ls8c_ard_3-1-0_114073_2020-01-09_final
2020-01-09 11:44:49	ga_ls8c_ard_3-1-0_114074_2020-01-09_final
2020-01-25 11:44:21	ga_ls8c_ard_3-1-0_114073_2020-01-25_final
2020-01-25 11:44:45	ga_ls8c_ard_3-1-0_114074_2020-01-25_final
2020-02-14 11:24:20	ga_ls8c_ard_3-1-0_110085_2020-02-14_final
2023-11-26 11:38:18	ga_ls8c_ard_3-2-1_113073_2023-11-26_final
2023-11-26 11:38:42	ga_ls8c_ard_3-2-1_113074_2023-11-26_final
2023-11-26 11:39:06	ga_ls8c_ard_3-2-1_113075_2023-11-26_final
2023-11-26 11:39:29	ga_ls8c_ard_3-2-1_113076_2023-11-26_final
2023-11-26 11:39:53	ga_ls8c_ard_3-2-1_113077_2023-11-26_final
2023-11-26 11:40:17	ga_ls8c_ard_3-2-1_113078_2023-11-26_final
2023-11-28 11:29:07	ga_ls8c_ard_3-2-1_111081_2023-11-28_final
2023-11-28 11:29:31	ga_ls8c_ard_3-2-1_111082_2023-11-28_final
2023-11-28 11:29:55	ga_ls8c_ard_3-2-1_111083_2023-11-28_final
2023-11-28 11:30:19	ga_ls8c_ard_3-2-1_111084_2023-11-28_final
2024-01-13 11:38:10	ga_ls8c_ard_3-2-1_113073_2024-01-13_final
2024-01-13 11:38:34	ga_ls8c_ard_3-2-1_113074_2024-01-13_final
2024-01-13 11:38:58	ga_ls8c_ard_3-2-1_113075_2024-01-13_final
2024-01-13 11:39:22	ga_ls8c_ard_3-2-1_113076_2024-01-13_final
2024-01-13 11:39:46	ga_ls8c_ard_3-2-1_113077_2024-01-13_final
2024-01-13 11:40:10	ga_ls8c_ard_3-2-1_113078_2024-01-13_final
2024-01-15 11:29:00	ga_ls8c_ard_3-2-1_111081_2024-01-15_final
2024-01-15 11:29:24	ga_ls8c_ard_3-2-1_111082_2024-01-15_final
2024-01-15 11:29:48	ga_ls8c_ard_3-2-1_111083_2024-01-15_final
2024-01-15 11:30:12	ga_ls8c_ard_3-2-1_111084_2024-01-15_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
2024-03-19 11:29:27	ga_ls8c_ard_3-2-1_111083_2024-03-19_final
2024-03-19 11:29:51	ga_ls8c_ard_3-2-1_111084_2024-03-19_final
2024-04-02 11:37:40	ga_ls8c_ard_3-2-1_113073_2024-04-02_final
2024-04-02 11:38:03	ga_ls8c_ard_3-2-1_113074_2024-04-02_final
2024-04-02 11:38:27	ga_ls8c_ard_3-2-1_113075_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 11:39:39	ga_ls8c_ard_3-2-1_113078_2024-04-02_final
2024-04-11 11:33:03	ga_ls8c_ard_3-2-1_112077_2024-04-11_final
2024-04-11 11:33:26	ga_ls8c_ard_3-2-1_112078_2024-04-11_final
2024-04-11 11:33:50	ga_ls8c_ard_3-2-1_112079_2024-04-11_final
2024-04-11 11:34:14	ga_ls8c_ard_3-2-1_112080_2024-04-11_final
2024-04-11 11:34:38	ga_ls8c_ard_3-2-1_112081_2024-04-11_final
2024-04-11 11:35:02	ga_ls8c_ard_3-2-1_112082_2024-04-11_final
2024-04-20 11:28:20	ga_ls8c_ard_3-2-1_111081_2024-04-20_nrt
2024-04-20 11:28:44	ga_ls8c_ard_3-2-1_111082_2024-04-20_nrt
2024-04-27 11:32:53	ga_ls8c_ard_3-2-1_112077_2024-04-27_nrt
2024-04-27 11:33:17	ga_ls8c_ard_3-2-1_112078_2024-04-27_nrt
2024-04-27 11:33:41	ga_ls8c_ard_3-2-1_112079_2024-04-27_nrt
2024-04-27 11:34:05	ga_ls8c_ard_3-2-1_112080_2024-04-27_nrt
2024-04-27 11:34:29	ga_ls8c_ard_3-2-1_112081_2024-04-27_nrt

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