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
2013-08-08 10:10:45	ga_ls8c_ard_3-2-1_099066_2013-08-08_final
2013-08-24 10:10:46	ga_ls8c_ard_3-2-1_099066_2013-08-24_final
2013-09-09 10:10:45	ga_ls8c_ard_3-2-1_099066_2013-09-09_final
2013-10-04 10:04:26	ga_ls8c_ard_3-2-1_098066_2013-10-04_final
2013-10-11 10:10:37	ga_ls8c_ard_3-2-1_099066_2013-10-11_final
2013-10-20 10:04:22	ga_ls8c_ard_3-2-1_098066_2013-10-20_final
2013-10-27 10:10:28	ga_ls8c_ard_3-2-1_099066_2013-10-27_final
2013-11-05 10:04:18	ga_ls8c_ard_3-2-1_098066_2013-11-05_final
2013-11-28 10:10:21	ga_ls8c_ard_3-2-1_099066_2013-11-28_final
2013-12-07 10:04:10	ga_ls8c_ard_3-2-1_098066_2013-12-07_final
2013-12-14 10:10:17	ga_ls8c_ard_3-2-1_099066_2013-12-14_final
2013-12-30 10:10:09	ga_ls8c_ard_3-2-1_099066_2013-12-30_final
2014-09-05 10:02:40	ga_ls8c_ard_3-2-1_098066_2014-09-05_final
2014-09-12 10:08:53	ga_ls8c_ard_3-2-1_099066_2014-09-12_final
2014-09-21 10:02:40	ga_ls8c_ard_3-2-1_098066_2014-09-21_final
2014-11-15 10:08:57	ga_ls8c_ard_3-2-1_099066_2014-11-15_final
2014-12-01 10:08:55	ga_ls8c_ard_3-2-1_099066_2014-12-01_final
2014-12-10 10:02:39	ga_ls8c_ard_3-2-1_098066_2014-12-10_final
2014-12-17 10:08:51	ga_ls8c_ard_3-2-1_099066_2014-12-17_final
2014-12-26 10:02:39	ga_ls8c_ard_3-2-1_098066_2014-12-26_final
2015-12-29 10:02:40	ga_ls8c_ard_3-2-1_098066_2015-12-29_final
2017-09-20 10:08:53	ga_ls8c_ard_3-2-1_099066_2017-09-20_final
2017-09-29 10:02:46	ga_ls8c_ard_3-2-1_098066_2017-09-29_final
2017-10-06 10:08:59	ga_ls8c_ard_3-2-1_099066_2017-10-06_final
2017-10-15 10:02:50	ga_ls8c_ard_3-2-1_098066_2017-10-15_final
2017-10-22 10:09:02	ga_ls8c_ard_3-2-1_099066_2017-10-22_final
2017-11-07 10:09:01	ga_ls8c_ard_3-2-1_099066_2017-11-07_final
2017-11-16 10:02:48	ga_ls8c_ard_3-2-1_098066_2017-11-16_final
2017-12-02 10:02:42	ga_ls8c_ard_3-2-1_098066_2017-12-02_final
2017-12-25 10:08:55	ga_ls8c_ard_3-2-1_099066_2017-12-25_final
2018-09-16 10:02:11	ga_ls8c_ard_3-2-1_098066_2018-09-16_final
2018-09-23 10:08:24	ga_ls8c_ard_3-2-1_099066_2018-09-23_final
2018-10-02 10:02:18	ga_ls8c_ard_3-2-1_098066_2018-10-02_final
2018-10-09 10:08:32	ga_ls8c_ard_3-2-1_099066_2018-10-09_final
2018-10-18 10:02:24	ga_ls8c_ard_3-2-1_098066_2018-10-18_final
2018-10-25 10:08:37	ga_ls8c_ard_3-2-1_099066_2018-10-25_final
2018-11-10 10:08:40	ga_ls8c_ard_3-2-1_099066_2018-11-10_final
2018-11-19 10:02:29	ga_ls8c_ard_3-2-1_098066_2018-11-19_final
2018-11-26 10:08:40	ga_ls8c_ard_3-2-1_099066_2018-11-26_final
2018-12-05 10:02:27	ga_ls8c_ard_3-2-1_098066_2018-12-05_final
2018-12-12 10:08:36	ga_ls8c_ard_3-2-1_099066_2018-12-12_final
2018-12-21 10:02:26	ga_ls8c_ard_3-2-1_098066_2018-12-21_final
2018-12-28 10:08:36	ga_ls8c_ard_3-2-1_099066_2018-12-28_final
2019-09-19 10:02:51	ga_ls8c_ard_3-2-1_098066_2019-09-19_final
2019-09-26 10:09:04	ga_ls8c_ard_3-2-1_099066_2019-09-26_final
2019-10-05 10:02:55	ga_ls8c_ard_3-2-1_098066_2019-10-05_final
2019-10-12 10:09:07	ga_ls8c_ard_3-2-1_099066_2019-10-12_final
2019-10-21 10:02:57	ga_ls8c_ard_3-2-1_098066_2019-10-21_final
2020-07-26 10:08:39	ga_ls8c_ard_3-2-1_099066_2020-07-26_final
2020-08-20 10:02:36	ga_ls8c_ard_3-2-1_098066_2020-08-20_final
2020-09-12 10:08:57	ga_ls8c_ard_3-2-1_099066_2020-09-12_final
2020-09-28 10:09:02	ga_ls8c_ard_3-2-1_099066_2020-09-28_final
2020-10-07 10:02:53	ga_ls8c_ard_3-2-1_098066_2020-10-07_final
2020-10-14 10:09:04	ga_ls8c_ard_3-2-1_099066_2020-10-14_final
2020-10-23 10:02:53	ga_ls8c_ard_3-2-1_098066_2020-10-23_final
2020-10-30 10:09:03	ga_ls8c_ard_3-2-1_099066_2020-10-30_final
2020-11-15 10:09:01	ga_ls8c_ard_3-2-1_099066_2020-11-15_final
2020-11-24 10:02:53	ga_ls8c_ard_3-2-1_098066_2020-11-24_final
2020-12-01 10:09:05	ga_ls8c_ard_3-2-1_099066_2020-12-01_final
2020-12-10 10:02:54	ga_ls8c_ard_3-2-1_098066_2020-12-10_final
2020-12-17 10:09:04	ga_ls8c_ard_3-2-1_099066_2020-12-17_final
2020-12-26 10:02:52	ga_ls8c_ard_3-2-1_098066_2020-12-26_final
2021-01-02 10:09:00	ga_ls8c_ard_3-2-1_099066_2021-01-02_final
2021-01-11 10:02:46	ga_ls8c_ard_3-2-1_098066_2021-01-11_final
2021-01-18 10:08:53	ga_ls8c_ard_3-2-1_099066_2021-01-18_final
2021-01-27 10:02:41	ga_ls8c_ard_3-2-1_098066_2021-01-27_final
2021-02-03 10:08:51	ga_ls8c_ard_3-2-1_099066_2021-02-03_final
2021-02-19 10:08:47	ga_ls8c_ard_3-2-1_099066_2021-02-19_final
2021-03-07 10:08:40	ga_ls8c_ard_3-2-1_099066_2021-03-07_final
2021-03-16 10:02:23	ga_ls8c_ard_3-2-1_098066_2021-03-16_final
2021-04-17 10:02:14	ga_ls8c_ard_3-2-1_098066_2021-04-17_final
2021-04-24 10:08:21	ga_ls8c_ard_3-2-1_099066_2021-04-24_final
2021-05-10 10:08:15	ga_ls8c_ard_3-2-1_099066_2021-05-10_final
2021-05-19 10:02:11	ga_ls8c_ard_3-2-1_098066_2021-05-19_final
2021-05-26 10:08:25	ga_ls8c_ard_3-2-1_099066_2021-05-26_final
2021-06-04 10:02:19	ga_ls8c_ard_3-2-1_098066_2021-06-04_final
2021-06-11 10:08:33	ga_ls8c_ard_3-2-1_099066_2021-06-11_final
2021-06-20 10:02:25	ga_ls8c_ard_3-2-1_098066_2021-06-20_final
2021-06-27 10:08:37	ga_ls8c_ard_3-2-1_099066_2021-06-27_final
2021-07-06 10:02:27	ga_ls8c_ard_3-2-1_098066_2021-07-06_final
2021-07-22 10:02:31	ga_ls8c_ard_3-2-1_098066_2021-07-22_final
2021-07-29 10:08:46	ga_ls8c_ard_3-2-1_099066_2021-07-29_final
2021-08-07 10:02:39	ga_ls8c_ard_3-2-1_098066_2021-08-07_final
2021-08-23 10:02:44	ga_ls8c_ard_3-2-1_098066_2021-08-23_final
2021-08-30 10:08:57	ga_ls8c_ard_3-2-1_099066_2021-08-30_final
2021-09-08 10:02:49	ga_ls8c_ard_3-2-1_098066_2021-09-08_final
2021-09-15 10:09:01	ga_ls8c_ard_3-2-1_099066_2021-09-15_final
2021-09-24 10:02:51	ga_ls8c_ard_3-2-1_098066_2021-09-24_final
2022-04-04 10:02:18	ga_ls8c_ard_3-2-1_098066_2022-04-04_final
2022-04-11 10:08:33	ga_ls8c_ard_3-2-1_099066_2022-04-11_final
2022-04-20 10:02:22	ga_ls8c_ard_3-2-1_098066_2022-04-20_final
2022-04-27 10:08:30	ga_ls8c_ard_3-2-1_099066_2022-04-27_final
2022-05-13 10:08:39	ga_ls8c_ard_3-2-1_099066_2022-05-13_final
2023-03-13 10:08:42	ga_ls8c_ard_3-2-1_099066_2023-03-13_final
2023-10-16 10:02:43	ga_ls8c_ard_3-2-1_098066_2023-10-16_final
2023-11-01 10:02:46	ga_ls8c_ard_3-2-1_098066_2023-11-01_final
2023-11-08 10:08:53	ga_ls8c_ard_3-2-1_099066_2023-11-08_final
2023-11-24 10:08:59	ga_ls8c_ard_3-2-1_099066_2023-11-24_final
2024-04-16 10:08:15	ga_ls8c_ard_3-2-1_099066_2024-04-16_final
2024-04-25 10:02:00	ga_ls8c_ard_3-2-1_098066_2024-04-25_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