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
2017-01-22 09:25:59	ga_ls8c_ard_3-0-0_092067_2017-01-21_final
2017-02-07 09:25:51	ga_ls8c_ard_3-0-0_092067_2017-02-06_final
2017-03-11 09:25:38	ga_ls8c_ard_3-0-0_092067_2017-03-10_final
2017-03-27 09:25:29	ga_ls8c_ard_3-0-0_092067_2017-03-26_final
2017-04-12 09:25:21	ga_ls8c_ard_3-0-0_092067_2017-04-11_final
2017-04-28 09:25:11	ga_ls8c_ard_3-0-0_092067_2017-04-27_final
2017-05-14 09:25:17	ga_ls8c_ard_3-0-0_092067_2017-05-13_final
2017-05-30 09:25:27	ga_ls8c_ard_3-0-0_092067_2017-05-29_final
2017-06-15 09:25:34	ga_ls8c_ard_3-0-0_092067_2017-06-14_final
2017-07-01 09:25:39	ga_ls8c_ard_3-0-0_092067_2017-06-30_final
2017-07-17 09:25:42	ga_ls8c_ard_3-0-0_092067_2017-07-16_final
2017-08-02 09:25:50	ga_ls8c_ard_3-0-0_092067_2017-08-01_final
2017-09-03 09:25:59	ga_ls8c_ard_3-0-0_092067_2017-09-02_final
2017-09-19 09:26:01	ga_ls8c_ard_3-0-0_092067_2017-09-18_final
2017-10-05 09:26:07	ga_ls8c_ard_3-0-0_092067_2017-10-04_final
2017-10-21 09:26:10	ga_ls8c_ard_3-0-0_092067_2017-10-20_final
2017-11-22 09:26:04	ga_ls8c_ard_3-0-0_092067_2017-11-21_final
2017-12-08 09:26:01	ga_ls8c_ard_3-0-0_092067_2017-12-07_final
2017-12-24 09:26:04	ga_ls8c_ard_3-0-0_092067_2017-12-23_final
2018-01-09 09:25:58	ga_ls8c_ard_3-0-0_092067_2018-01-08_final
2018-01-25 09:25:50	ga_ls8c_ard_3-0-0_092067_2018-01-24_final
2018-02-26 09:25:36	ga_ls8c_ard_3-0-0_092067_2018-02-25_final
2018-03-14 09:25:27	ga_ls8c_ard_3-0-0_092067_2018-03-13_final
2018-03-30 09:25:20	ga_ls8c_ard_3-0-0_092067_2018-03-29_final
2018-04-15 09:25:11	ga_ls8c_ard_3-0-0_092067_2018-04-14_final
2018-05-01 09:25:02	ga_ls8c_ard_3-0-0_092067_2018-04-30_final
2018-05-17 09:24:52	ga_ls8c_ard_3-0-0_092067_2018-05-16_final
2018-06-02 09:24:39	ga_ls8c_ard_3-0-0_092067_2018-06-01_final
2018-06-18 09:24:47	ga_ls8c_ard_3-0-0_092067_2018-06-17_final
2018-07-20 09:25:04	ga_ls8c_ard_3-0-0_092067_2018-07-19_final
2018-08-05 09:25:12	ga_ls8c_ard_3-0-0_092067_2018-08-04_final
2018-08-21 09:25:21	ga_ls8c_ard_3-0-0_092067_2018-08-20_final
2018-09-22 09:25:31	ga_ls8c_ard_3-0-0_092067_2018-09-21_final
2018-11-25 09:25:48	ga_ls8c_ard_3-0-0_092067_2018-11-24_final
2018-12-11 09:25:45	ga_ls8c_ard_3-0-0_092067_2018-12-10_final
2018-12-27 09:25:45	ga_ls8c_ard_3-0-0_092067_2018-12-26_final
2019-01-12 09:25:43	ga_ls8c_ard_3-0-0_092067_2019-01-11_final
2019-01-28 09:25:39	ga_ls8c_ard_3-0-0_092067_2019-01-27_final
2019-02-13 09:25:37	ga_ls8c_ard_3-0-0_092067_2019-02-12_final
2019-03-01 09:25:33	ga_ls8c_ard_3-0-0_092067_2019-02-28_final
2019-03-17 09:25:28	ga_ls8c_ard_3-1-0_092067_2019-03-16_final
2019-04-02 09:25:24	ga_ls8c_ard_3-1-0_092067_2019-04-01_final
2019-04-18 09:25:19	ga_ls8c_ard_3-1-0_092067_2019-04-17_final
2019-05-04 09:25:19	ga_ls8c_ard_3-0-0_092067_2019-05-03_final
2019-05-20 09:25:29	ga_ls8c_ard_3-0-0_092067_2019-05-19_final
2019-06-05 09:25:38	ga_ls8c_ard_3-0-0_092067_2019-06-04_final
2019-06-21 09:25:44	ga_ls8c_ard_3-1-0_092067_2019-06-20_final
2019-07-07 09:25:48	ga_ls8c_ard_3-1-0_092067_2019-07-06_final
2019-07-23 09:25:51	ga_ls8c_ard_3-1-0_092067_2019-07-22_final
2019-08-08 09:25:58	ga_ls8c_ard_3-1-0_092067_2019-08-07_final
2019-08-24 09:26:02	ga_ls8c_ard_3-1-0_092067_2019-08-23_final
2019-09-09 09:26:06	ga_ls8c_ard_3-1-0_092067_2019-09-08_final
2019-09-25 09:26:12	ga_ls8c_ard_3-1-0_092067_2019-09-24_final
2019-10-11 09:26:15	ga_ls8c_ard_3-1-0_092067_2019-10-10_final
2019-10-27 09:26:16	ga_ls8c_ard_3-1-0_092067_2019-10-26_final
2019-11-12 09:26:14	ga_ls8c_ard_3-1-0_092067_2019-11-11_final
2019-11-28 09:26:11	ga_ls8c_ard_3-1-0_092067_2019-11-27_final
2019-12-14 09:26:10	ga_ls8c_ard_3-2-0_092067_2019-12-13_final
2019-12-30 09:26:06	ga_ls8c_ard_3-1-0_092067_2019-12-29_final
2020-01-15 09:26:03	ga_ls8c_ard_3-1-0_092067_2020-01-14_final
2020-01-31 09:25:58	ga_ls8c_ard_3-1-0_092067_2020-01-30_final
2020-02-16 09:25:54	ga_ls8c_ard_3-1-0_092067_2020-02-15_final
2020-03-03 09:25:49	ga_ls8c_ard_3-1-0_092067_2020-03-02_final
2020-03-19 09:25:42	ga_ls8c_ard_3-1-0_092067_2020-03-18_final
2020-04-04 09:25:32	ga_ls8c_ard_3-1-0_092067_2020-04-03_final
2020-04-20 09:25:26	ga_ls8c_ard_3-1-0_092067_2020-04-19_final
2020-05-06 09:25:17	ga_ls8c_ard_3-1-0_092067_2020-05-05_final
2020-05-22 09:25:19	ga_ls8c_ard_3-1-0_092067_2020-05-21_final
2020-06-07 09:25:26	ga_ls8c_ard_3-1-0_092067_2020-06-06_final
2020-06-23 09:25:35	ga_ls8c_ard_3-1-0_092067_2020-06-22_final
2020-07-09 09:25:42	ga_ls8c_ard_3-1-0_092067_2020-07-08_final
2020-07-25 09:25:47	ga_ls8c_ard_3-1-0_092067_2020-07-24_final
2020-08-10 09:25:50	ga_ls8c_ard_3-1-0_092067_2020-08-09_final
2020-08-26 09:25:59	ga_ls8c_ard_3-1-0_092067_2020-08-25_final
2020-09-11 09:26:05	ga_ls8c_ard_3-1-0_092067_2020-09-10_final
2020-09-27 09:26:10	ga_ls8c_ard_3-1-0_092067_2020-09-26_final
2020-10-13 09:26:12	ga_ls8c_ard_3-1-0_092067_2020-10-12_final
2020-10-29 09:26:12	ga_ls8c_ard_3-1-0_092067_2020-10-28_final
2020-11-30 09:26:13	ga_ls8c_ard_3-1-0_092067_2020-11-29_final
2020-12-16 09:26:13	ga_ls8c_ard_3-1-0_092067_2020-12-15_final
2021-01-01 09:26:09	ga_ls8c_ard_3-2-0_092067_2020-12-31_final
2021-01-17 09:26:02	ga_ls8c_ard_3-2-0_092067_2021-01-16_final
2021-02-02 09:26:00	ga_ls8c_ard_3-2-0_092067_2021-02-01_final
2021-02-18 09:25:56	ga_ls8c_ard_3-2-0_092067_2021-02-17_final
2021-03-06 09:25:49	ga_ls8c_ard_3-2-0_092067_2021-03-05_final
2021-03-22 09:25:41	ga_ls8c_ard_3-2-0_092067_2021-03-21_final
2021-04-07 09:25:37	ga_ls8c_ard_3-2-0_092067_2021-04-06_final
2021-04-23 09:25:30	ga_ls8c_ard_3-2-0_092067_2021-04-22_final
2021-05-09 09:25:23	ga_ls8c_ard_3-2-0_092067_2021-05-08_final
2021-05-25 09:25:33	ga_ls8c_ard_3-2-0_092067_2021-05-24_final
2021-06-10 09:25:40	ga_ls8c_ard_3-2-0_092067_2021-06-09_final
2021-06-26 09:25:45	ga_ls8c_ard_3-2-0_092067_2021-06-25_final
2021-07-12 09:25:47	ga_ls8c_ard_3-2-0_092067_2021-07-11_final
2021-07-28 09:25:54	ga_ls8c_ard_3-2-0_092067_2021-07-27_final
2021-08-13 09:26:00	ga_ls8c_ard_3-2-0_092067_2021-08-12_final
2021-08-29 09:26:05	ga_ls8c_ard_3-2-0_092067_2021-08-28_final
2021-09-14 09:26:09	ga_ls8c_ard_3-2-0_092067_2021-09-13_final
2021-09-30 09:26:13	ga_ls8c_ard_3-2-0_092067_2021-09-29_final
2021-10-16 09:26:18	ga_ls8c_ard_3-2-0_092067_2021-10-15_final
2021-11-01 09:26:18	ga_ls8c_ard_3-2-0_092067_2021-10-31_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