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
2016-10-15 10:40:10	ga_ls8c_ard_3-0-0_103082_2016-10-15_final
2016-10-31 10:40:11	ga_ls8c_ard_3-0-0_103082_2016-10-31_final
2016-12-18 10:40:05	ga_ls8c_ard_3-0-0_103082_2016-12-18_final
2017-01-19 10:39:58	ga_ls8c_ard_3-0-0_103082_2017-01-19_final
2017-03-08 10:39:38	ga_ls8c_ard_3-0-0_103082_2017-03-08_final
2017-04-25 10:39:11	ga_ls8c_ard_3-0-0_103082_2017-04-25_final
2017-05-11 10:39:13	ga_ls8c_ard_3-0-0_103082_2017-05-11_final
2017-06-12 10:39:31	ga_ls8c_ard_3-0-0_103082_2017-06-12_final
2017-06-28 10:39:36	ga_ls8c_ard_3-0-0_103082_2017-06-28_final
2017-07-30 10:39:47	ga_ls8c_ard_3-0-0_103082_2017-07-30_final
2017-08-15 10:39:53	ga_ls8c_ard_3-0-0_103082_2017-08-15_final
2017-08-31 10:39:56	ga_ls8c_ard_3-0-0_103082_2017-08-31_final
2017-10-02 10:40:04	ga_ls8c_ard_3-0-0_103082_2017-10-02_final
2017-10-18 10:40:08	ga_ls8c_ard_3-0-0_103082_2017-10-18_final
2017-11-03 10:40:08	ga_ls8c_ard_3-0-0_103082_2017-11-03_final
2017-11-19 10:40:04	ga_ls8c_ard_3-0-0_103082_2017-11-19_final
2018-01-06 10:39:57	ga_ls8c_ard_3-0-0_103082_2018-01-06_final
2018-02-23 10:39:35	ga_ls8c_ard_3-0-0_103082_2018-02-23_final
2018-03-11 10:39:27	ga_ls8c_ard_3-0-0_103082_2018-03-11_final
2018-04-12 10:39:11	ga_ls8c_ard_3-0-0_103082_2018-04-12_final
2018-05-14 10:38:52	ga_ls8c_ard_3-0-0_103082_2018-05-14_final
2018-05-30 10:38:39	ga_ls8c_ard_3-0-0_103082_2018-05-30_final
2018-06-15 10:38:43	ga_ls8c_ard_3-0-0_103082_2018-06-15_final
2018-07-01 10:38:53	ga_ls8c_ard_3-0-0_103082_2018-07-01_final
2018-07-17 10:39:01	ga_ls8c_ard_3-0-0_103082_2018-07-17_final
2018-09-03 10:39:24	ga_ls8c_ard_3-0-0_103082_2018-09-03_final
2018-10-05 10:39:36	ga_ls8c_ard_3-0-0_103082_2018-10-05_final
2018-11-06 10:39:46	ga_ls8c_ard_3-0-0_103082_2018-11-06_final
2019-01-09 10:39:42	ga_ls8c_ard_3-0-0_103082_2019-01-09_final
2019-03-14 10:39:26	ga_ls8c_ard_3-1-0_103082_2019-03-14_final
2019-03-30 10:39:23	ga_ls8c_ard_3-1-0_103082_2019-03-30_final
2019-04-15 10:39:18	ga_ls8c_ard_3-1-0_103082_2019-04-15_final
2019-05-01 10:39:15	ga_ls8c_ard_3-0-0_103082_2019-05-01_final
2019-05-17 10:39:26	ga_ls8c_ard_3-0-0_103082_2019-05-17_final
2019-06-02 10:39:34	ga_ls8c_ard_3-0-0_103082_2019-06-02_final
2019-08-21 10:40:00	ga_ls8c_ard_3-1-0_103082_2019-08-21_final
2019-11-09 10:40:12	ga_ls8c_ard_3-1-0_103082_2019-11-09_final
2019-12-11 10:40:08	ga_ls8c_ard_3-1-0_103082_2019-12-11_final
2020-01-12 10:40:01	ga_ls8c_ard_3-1-0_103082_2020-01-12_final
2020-01-28 10:39:57	ga_ls8c_ard_3-1-0_103082_2020-01-28_final
2020-02-29 10:39:48	ga_ls8c_ard_3-1-0_103082_2020-02-29_final
2020-03-16 10:39:41	ga_ls8c_ard_3-1-0_103082_2020-03-16_final
2020-04-01 10:39:32	ga_ls8c_ard_3-1-0_103082_2020-04-01_final
2020-04-17 10:39:25	ga_ls8c_ard_3-1-0_103082_2020-04-17_final
2020-05-19 10:39:16	ga_ls8c_ard_3-1-0_103082_2020-05-19_final
2020-06-04 10:39:22	ga_ls8c_ard_3-1-0_103082_2020-06-04_final
2020-07-06 10:39:39	ga_ls8c_ard_3-1-0_103082_2020-07-06_final
2020-08-07 10:39:48	ga_ls8c_ard_3-1-0_103082_2020-08-07_final
2020-08-23 10:39:55	ga_ls8c_ard_3-1-0_103082_2020-08-23_final
2020-12-13 10:40:11	ga_ls8c_ard_3-1-0_103082_2020-12-13_final
2020-12-29 10:40:08	ga_ls8c_ard_3-2-0_103082_2020-12-29_final
2021-01-14 10:40:01	ga_ls8c_ard_3-2-0_103082_2021-01-14_final
2021-01-30 10:39:58	ga_ls8c_ard_3-2-0_103082_2021-01-30_final
2021-02-15 10:39:55	ga_ls8c_ard_3-2-0_103082_2021-02-15_final
2021-03-03 10:39:48	ga_ls8c_ard_3-2-0_103082_2021-03-03_final
2021-03-19 10:39:39	ga_ls8c_ard_3-2-0_103082_2021-03-19_final
2021-04-04 10:39:36	ga_ls8c_ard_3-2-0_103082_2021-04-04_final
2021-04-20 10:39:29	ga_ls8c_ard_3-2-0_103082_2021-04-20_final
2021-05-06 10:39:19	ga_ls8c_ard_3-2-0_103082_2021-05-06_final
2021-05-22 10:39:29	ga_ls8c_ard_3-2-0_103082_2021-05-22_final
2021-06-07 10:39:37	ga_ls8c_ard_3-2-0_103082_2021-06-07_final
2021-06-23 10:39:42	ga_ls8c_ard_3-2-0_103082_2021-06-23_final
2021-07-09 10:39:45	ga_ls8c_ard_3-2-0_103082_2021-07-09_final
2021-07-25 10:39:50	ga_ls8c_ard_3-2-0_103082_2021-07-25_final
2021-08-10 10:39:57	ga_ls8c_ard_3-2-0_103082_2021-08-10_final
2021-08-26 10:40:02	ga_ls8c_ard_3-2-0_103082_2021-08-26_final
2021-09-11 10:40:06	ga_ls8c_ard_3-2-0_103082_2021-09-11_final
2021-09-27 10:40:10	ga_ls8c_ard_3-2-0_103082_2021-09-27_final
2021-10-13 10:40:15	ga_ls8c_ard_3-2-0_103082_2021-10-13_final
2021-10-29 10:40:16	ga_ls8c_ard_3-2-0_103082_2021-10-29_final
2021-11-14 10:40:12	ga_ls8c_ard_3-2-0_103082_2021-11-14_final
2021-11-30 10:40:12	ga_ls8c_ard_3-2-0_103082_2021-11-30_final
2021-12-16 10:40:11	ga_ls8c_ard_3-2-1_103082_2021-12-16_final
2022-01-01 10:40:05	ga_ls8c_ard_3-2-1_103082_2022-01-01_final
2022-01-17 10:40:03	ga_ls8c_ard_3-2-1_103082_2022-01-17_final
2022-02-02 10:39:58	ga_ls8c_ard_3-2-1_103082_2022-02-02_final
2022-02-18 10:39:53	ga_ls8c_ard_3-2-1_103082_2022-02-18_final
2022-03-06 10:39:50	ga_ls8c_ard_3-2-1_103082_2022-03-06_final
2022-03-22 10:39:41	ga_ls8c_ard_3-2-1_103082_2022-03-22_final
2022-04-07 10:39:37	ga_ls8c_ard_3-2-1_103082_2022-04-07_final
2022-04-23 10:39:38	ga_ls8c_ard_3-2-1_103082_2022-04-23_final
2022-05-09 10:39:43	ga_ls8c_ard_3-2-1_103082_2022-05-09_final
2022-05-25 10:39:46	ga_ls8c_ard_3-2-1_103082_2022-05-25_final
2022-06-10 10:39:57	ga_ls8c_ard_3-2-1_103082_2022-06-10_final
2022-06-26 10:40:04	ga_ls8c_ard_3-2-1_103082_2022-06-26_final
2022-07-12 10:40:04	ga_ls8c_ard_3-2-1_103082_2022-07-12_final
2022-07-28 10:40:13	ga_ls8c_ard_3-2-1_103082_2022-07-28_final
2022-08-13 10:40:21	ga_ls8c_ard_3-2-1_103082_2022-08-13_final
2022-08-29 10:40:22	ga_ls8c_ard_3-2-1_103082_2022-08-29_final
2022-09-14 10:40:28	ga_ls8c_ard_3-2-1_103082_2022-09-14_final
2022-09-30 10:40:28	ga_ls8c_ard_3-2-1_103082_2022-09-30_final
2022-10-16 10:40:21	ga_ls8c_ard_3-2-1_103082_2022-10-16_final
2022-11-01 10:40:29	ga_ls8c_ard_3-2-1_103082_2022-11-01_final
2022-11-17 10:40:21	ga_ls8c_ard_3-2-1_103082_2022-11-17_final
2022-12-03 10:40:24	ga_ls8c_ard_3-2-1_103082_2022-12-03_final
2022-12-19 10:40:16	ga_ls8c_ard_3-2-1_103082_2022-12-19_final
2023-01-04 10:40:15	ga_ls8c_ard_3-2-1_103082_2023-01-04_final
2023-01-20 10:40:09	ga_ls8c_ard_3-2-1_103082_2023-01-20_final
2023-02-05 10:40:13	ga_ls8c_ard_3-2-1_103082_2023-02-05_final
2023-02-21 10:39:59	ga_ls8c_ard_3-2-1_103082_2023-02-21_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years