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
2017-11-24 10:52:35	ga_ls8c_ard_3-0-0_106067_2017-11-24_final
2017-11-24 10:52:59	ga_ls8c_ard_3-0-0_106068_2017-11-24_final
2017-11-24 10:53:23	ga_ls8c_ard_3-0-0_106069_2017-11-24_final
2017-11-24 10:53:47	ga_ls8c_ard_3-0-0_106070_2017-11-24_final
2017-11-24 10:54:11	ga_ls8c_ard_3-0-0_106071_2017-11-24_final
2017-12-03 10:47:33	ga_ls8c_ard_3-0-0_105070_2017-12-03_final
2017-12-03 10:47:57	ga_ls8c_ard_3-0-0_105071_2017-12-03_final
2017-12-03 10:48:21	ga_ls8c_ard_3-0-0_105072_2017-12-03_final
2017-12-03 10:48:45	ga_ls8c_ard_3-0-0_105073_2017-12-03_final
2017-12-03 10:49:09	ga_ls8c_ard_3-0-0_105074_2017-12-03_final
2017-12-03 10:49:33	ga_ls8c_ard_3-0-0_105075_2017-12-03_final
2017-12-03 10:49:57	ga_ls8c_ard_3-0-0_105076_2017-12-03_final
2017-12-19 10:47:36	ga_ls8c_ard_3-0-0_105070_2017-12-19_final
2017-12-19 10:48:00	ga_ls8c_ard_3-0-0_105071_2017-12-19_final
2017-12-19 10:48:24	ga_ls8c_ard_3-0-0_105072_2017-12-19_final
2017-12-19 10:48:48	ga_ls8c_ard_3-0-0_105073_2017-12-19_final
2017-12-19 10:49:12	ga_ls8c_ard_3-0-0_105074_2017-12-19_final
2017-12-19 10:49:36	ga_ls8c_ard_3-0-0_105075_2017-12-19_final
2017-12-26 10:52:34	ga_ls8c_ard_3-0-0_106067_2017-12-26_final
2017-12-26 10:52:58	ga_ls8c_ard_3-0-0_106068_2017-12-26_final
2017-12-26 10:53:22	ga_ls8c_ard_3-0-0_106069_2017-12-26_final
2017-12-26 10:53:46	ga_ls8c_ard_3-0-0_106070_2017-12-26_final
2017-12-26 10:54:10	ga_ls8c_ard_3-0-0_106071_2017-12-26_final
2019-12-16 10:52:41	ga_ls8c_ard_3-2-0_106067_2019-12-16_final
2019-12-16 10:53:05	ga_ls8c_ard_3-2-0_106068_2019-12-16_final
2019-12-16 10:53:29	ga_ls8c_ard_3-2-0_106069_2019-12-16_final
2019-12-16 10:53:53	ga_ls8c_ard_3-2-0_106070_2019-12-16_final
2019-12-16 10:54:17	ga_ls8c_ard_3-2-0_106071_2019-12-16_final
2019-12-27 10:38:53	ga_ls8c_ard_3-1-0_103079_2019-12-27_final
2019-12-27 10:39:17	ga_ls8c_ard_3-1-0_103080_2019-12-27_final
2020-01-01 10:52:37	ga_ls8c_ard_3-1-0_106067_2020-01-01_final
2020-01-01 10:53:01	ga_ls8c_ard_3-1-0_106068_2020-01-01_final
2020-01-01 10:53:24	ga_ls8c_ard_3-1-0_106069_2020-01-01_final
2020-01-01 10:53:48	ga_ls8c_ard_3-1-0_106070_2020-01-01_final
2020-01-01 10:54:12	ga_ls8c_ard_3-1-0_106071_2020-01-01_final
2020-01-10 10:47:36	ga_ls8c_ard_3-1-0_105070_2020-01-10_final
2020-01-10 10:48:00	ga_ls8c_ard_3-1-0_105071_2020-01-10_final
2020-01-10 10:48:24	ga_ls8c_ard_3-1-0_105072_2020-01-10_final
2020-01-10 10:48:48	ga_ls8c_ard_3-1-0_105073_2020-01-10_final
2020-01-10 10:49:12	ga_ls8c_ard_3-1-0_105074_2020-01-10_final
2020-01-10 10:49:36	ga_ls8c_ard_3-1-0_105075_2020-01-10_final
2020-01-10 10:50:00	ga_ls8c_ard_3-1-0_105076_2020-01-10_final
2020-01-19 10:43:23	ga_ls8c_ard_3-1-0_104075_2020-01-19_final
2020-01-19 10:43:47	ga_ls8c_ard_3-1-0_104076_2020-01-19_final
2020-01-19 10:44:11	ga_ls8c_ard_3-1-0_104077_2020-01-19_final
2020-01-19 10:44:35	ga_ls8c_ard_3-1-0_104078_2020-01-19_final
2020-01-19 10:44:59	ga_ls8c_ard_3-1-0_104079_2020-01-19_final
2020-01-19 10:45:23	ga_ls8c_ard_3-1-0_104080_2020-01-19_final
2020-01-26 10:47:32	ga_ls8c_ard_3-1-0_105070_2020-01-26_final
2020-01-26 10:47:56	ga_ls8c_ard_3-1-0_105071_2020-01-26_final
2020-01-26 10:48:20	ga_ls8c_ard_3-1-0_105072_2020-01-26_final
2020-01-26 10:48:44	ga_ls8c_ard_3-1-0_105073_2020-01-26_final
2020-01-26 10:49:08	ga_ls8c_ard_3-1-0_105074_2020-01-26_final
2020-01-26 10:49:32	ga_ls8c_ard_3-1-0_105075_2020-01-26_final
2020-01-26 10:49:55	ga_ls8c_ard_3-1-0_105076_2020-01-26_final
2020-02-22 10:34:03	ga_ls8c_ard_3-1-0_102083_2020-02-22_final
2020-03-21 10:52:12	ga_ls8c_ard_3-1-0_106067_2020-03-21_final
2020-03-21 10:52:36	ga_ls8c_ard_3-1-0_106068_2020-03-21_final
2020-03-21 10:53:00	ga_ls8c_ard_3-1-0_106069_2020-03-21_final
2020-03-21 10:53:24	ga_ls8c_ard_3-1-0_106070_2020-03-21_final
2020-03-21 10:53:48	ga_ls8c_ard_3-1-0_106071_2020-03-21_final
2020-03-23 10:43:01	ga_ls8c_ard_3-1-0_104075_2020-03-23_final
2020-03-23 10:43:25	ga_ls8c_ard_3-1-0_104076_2020-03-23_final
2020-03-23 10:43:48	ga_ls8c_ard_3-1-0_104077_2020-03-23_final
2020-03-23 10:44:12	ga_ls8c_ard_3-1-0_104078_2020-03-23_final
2020-03-23 10:44:36	ga_ls8c_ard_3-1-0_104079_2020-03-23_final
2020-03-23 10:45:00	ga_ls8c_ard_3-1-0_104080_2020-03-23_final
2020-04-17 10:38:13	ga_ls8c_ard_3-1-0_103079_2020-04-17_final
2020-04-17 10:38:37	ga_ls8c_ard_3-1-0_103080_2020-04-17_final
2020-04-17 10:39:01	ga_ls8c_ard_3-1-0_103081_2020-04-17_final
2020-04-17 10:39:25	ga_ls8c_ard_3-1-0_103082_2020-04-17_final
2020-04-17 10:39:49	ga_ls8c_ard_3-1-0_103083_2020-04-17_final
2021-08-31 10:52:37	ga_ls8c_ard_3-2-0_106067_2021-08-31_final
2021-08-31 10:53:01	ga_ls8c_ard_3-2-0_106068_2021-08-31_final
2021-08-31 10:53:25	ga_ls8c_ard_3-2-0_106069_2021-08-31_final
2021-08-31 10:53:49	ga_ls8c_ard_3-2-0_106070_2021-08-31_final
2021-08-31 10:54:12	ga_ls8c_ard_3-2-0_106071_2021-08-31_final
2021-09-02 10:43:27	ga_ls8c_ard_3-2-0_104075_2021-09-02_final
2021-09-02 10:43:51	ga_ls8c_ard_3-2-0_104076_2021-09-02_final
2021-09-02 10:44:15	ga_ls8c_ard_3-2-0_104077_2021-09-02_final
2021-09-02 10:44:39	ga_ls8c_ard_3-2-0_104078_2021-09-02_final
2021-09-02 10:45:03	ga_ls8c_ard_3-2-0_104079_2021-09-02_final
2021-09-02 10:45:27	ga_ls8c_ard_3-2-0_104080_2021-09-02_final
2023-05-01 10:51:52	ga_ls8c_ard_3-2-1_106067_2023-05-01_final
2023-05-01 10:52:16	ga_ls8c_ard_3-2-1_106068_2023-05-01_final
2023-05-01 10:52:40	ga_ls8c_ard_3-2-1_106069_2023-05-01_final
2023-05-01 10:53:04	ga_ls8c_ard_3-2-1_106070_2023-05-01_final
2023-05-01 10:53:28	ga_ls8c_ard_3-2-1_106071_2023-05-01_final
2023-05-10 10:46:45	ga_ls8c_ard_3-2-1_105070_2023-05-10_final
2023-05-10 10:47:09	ga_ls8c_ard_3-2-1_105071_2023-05-10_final
2023-05-10 10:47:33	ga_ls8c_ard_3-2-1_105072_2023-05-10_final
2023-05-10 10:47:56	ga_ls8c_ard_3-2-1_105073_2023-05-10_final
2023-05-10 10:48:20	ga_ls8c_ard_3-2-1_105074_2023-05-10_final
2023-05-10 10:48:44	ga_ls8c_ard_3-2-1_105075_2023-05-10_final
2023-05-10 10:49:08	ga_ls8c_ard_3-2-1_105076_2023-05-10_final
2023-05-12 10:37:56	ga_ls8c_ard_3-2-1_103079_2023-05-12_final
2023-05-12 10:38:20	ga_ls8c_ard_3-2-1_103080_2023-05-12_final
2023-05-12 10:38:44	ga_ls8c_ard_3-2-1_103081_2023-05-12_final
2023-05-12 10:39:08	ga_ls8c_ard_3-2-1_103082_2023-05-12_final
2024-04-28 10:38:26	ga_ls8c_ard_3-2-1_103080_2024-04-28_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